Reactive astrocyte nomenclature, definitions, and future directions
Open accessAbstract
Reactive astrocytes are astrocytes undergoing morphological, molecular, and functional remodeling in response to injury, disease, or infection of the CNS. Although this remodeling was first described over a century ago, uncertainties and controversies remain regarding the contribution of reactive astrocytes to CNS diseases, repair, and aging. It is also unclear whether fixed categories of reactive astrocytes exist and, if so, how to identify them. We point out the shortcomings of binary divisions of reactive astrocytes into good-vs-bad, neurotoxic-vs-neuroprotective or A1-vs-A2. We advocate, instead, that research on reactive astrocytes include assessment of multiple molecular and functional parameters-preferably in vivo-plus multivariate statistics and determination of impact on pathological hallmarks in relevant models. These guidelines may spur the discovery of astrocyte-based biomarkers as well as astrocyte-targeting therapies that abrogate detrimental actions of reactive astrocytes, potentiate their neuro- and glioprotective actions, and restore or augment their homeostatic, modulatory, and defensive functions.
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106 of 139 cited sources checked · 65 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Reactive astrogliosis phenomena such as astrocyte proliferation, scar-border formation, and immune-cell recruitment mainly occur when there is disruption of the blood-brain barrier.
“these phenomena mainly occur when there is disruption of the blood–brain barrier (Fig. 1a)7.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [7] Sofroniew, M. V. Astrocyte barriers to neurotoxic inflammation. Nat. Rev. Neurosci. 16, 249–263 (2015). source
The ‘Astrocyte restriction of CNS inflammation’ section describes proliferation, scar-border formation and inflammatory-cell trafficking at sites of CNS damage. The ‘Astrocyte anti-inflammatory mechanisms’ section links newly proliferated scar-forming astrocytes to blood–brain barrier repair after traumatic injury and describes a mechanism by which astrocytes disrupt the barrier and increase leukocyte extravasation. Neither section establishes that these phenomena mainly occur when the blood–brain barrier is disrupted; page numbers were not available in our copy. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Membrane proteins EAAT1 and EAAT2 are not optimal candidates to assess complex astrocyte morphology because they tend to produce widespread and diffuse staining.
“Membrane proteins such as the glutamate transporters EAAT1 and EAAT2 are not optimal candidates to assess complex astrocyte morphology, as they tend to produce widespread and diffuse staining24.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [24] Sosunov, A. A. et al. Phenotypic heterogeneity and plasticity of isocortical and hippocampal astrocytes in the human brain. J. Neurosci. 34, 2285–2298 (2014). source
The section “Astrocyte domain localizations and microheterogeneity among astrocyte types” (page unavailable) reports that EAAT1- and EAAT2-positive processes from neighboring astrocytes penetrate CD44-positive astrocyte domains, supporting a limitation in using these markers to delineate individual cells. It does not say that EAAT1 or EAAT2 staining is generally widespread and diffuse, or explicitly conclude that they are unsuitable for assessing complex morphology. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
Astrocytes can exhibit cell-autonomous disturbances, as in astrocytopathies caused by mutated astrocytic genes such as GFAP in Alexander disease, direct viral infections, or toxic substances that specifically damage astrocytes such as ammonium in hepatic encephalopathy.
“Astrocytes may also exhibit cell-autonomous disturbances8, as happens in astrocytopathies resulting from mutated alleles of astrocytic genes (for example, GFAP in Alexander disease)9, as well as from direct viral infections or exposure to toxic substances that specifically damage astrocytes (for example, ammonium in hepatic encephalopathy)10.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [8] Verkhratsky, A., Zorec, R. & Parpura, V. Stratification of astrocytes in healthy and diseased brain. Brain Pathol 27, 629–644 (2017). source
- cites [9] Messing, A., Brenner, M., Feany, M. B., Nedergaard, M. & Goldman, J. E. Alexander disease. J. Neurosci. 32, 5017–5023 (2012). source
- cites [10] Brusilow, S. W., Koehler, R. C., Traystman, R. J. & Cooper, A. J. Astrocyte glutamine synthetase: importance in hyperammonemic syndromes and potential target for therapy. Neurotherapeutics 7, 452–470 (2010). source
- Premisecitation
Astrocytes in the healthy brain are diverse and specialized to perform specific roles in distinct CNS circuits.
“Transcriptomics has contributed to a fundamental discovery: astrocytes in the healthy brain are diverse and specialized to perform specific roles in distinct CNS circuits14,65.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [14] Ben Haim, L. & Rowitch, D. H. Functional diversity of astrocytes in neural circuit regulation. Nat. Rev. Neurosci. 18, 31–41 (2017). source
- cites [65] Chai, H. et al. Neural circuit-specialized astrocytes: transcriptomic, proteomic, morphological, and functional evidence. Neuron 95, 531–549.e9 (2017). source
- Premisecitation
Aging is associated with pronounced regional differences in astrocyte gene expression in mouse brains.
“Notably, aging is also associated with pronounced regional differences in astrocyte gene expression in mouse brains90,91.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [90] Boisvert, M. M., Erikson, G. A., Shokhirev, M. N. & Allen, N. J. The aging astrocyte transcriptome from multiple regions of the mouse brain. Cell Rep 22, 269–285 (2018). source
- cites [91] Clarke, L. E. et al. Normal aging induces A1-like astrocyte reactivity. Proc. Natl Acad. Sci. USA 115, E1896–E1905 (2018). source
- Premisecitation
Single-cell and single-nucleus RNAseq studies in mouse models and human brains of chronic neurodegenerative diseases have unraveled numerous stage-dependent transcriptomic states in HD, AD, and MS that do not clearly comply with A1-A2 profiles.
“For example, single-cell and single-nucleus RNAseq (scRNAseq and snRNAseq, respectively) studies in mouse models and human brains of chronic neurodegenerative diseases have unraveled numerous stage-dependent transcriptomic states in HD74, AD75,78, and MS40 that do not clearly comply with A1–A2 profiles.”
Quote in the paperSubstantial claim3 of 4 sources checked- cites [74] Al-Dalahmah, O. et al. Single-nucleus RNA-seq identifies Huntington disease astrocyte states. Acta Neuropathol. Commun. 8, 19 (2020). source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [75] Grubman, A. et al. A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat. Neurosci. 22, 2087–2097 (2019). source
- cites [78] Habib, N. et al. Disease-associated astrocytes in Alzheimer’s disease and aging. Nat. Neurosci. 23, 701–706 (2020). source
- cites [40] Wheeler, M. A. et al. MAFG-driven astrocytes promote CNS inflammation. Nature 578, 593–599 (2020). The first study combining scRNAseq to characterize reactive astrocytes with targeted molecular manipulations demonstrates, in a mouse model of MS, that reactive astrocytes are molecularly and functionally heterogeneous, depending on brain area and disease stage. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
In normal conditions, astrocyte Ca2+-based responses and downstream signaling via neuroactive mediators exert multifarious effects on synaptic function and plasticity, neural-network oscillations, and ultimately behavior.
“In normal conditions, astrocyte Ca2+-based responses, and downstream signaling via neuroactive mediators, exert multifarious effects on synaptic function and plasticity, neural-network oscillations, and, ultimately, on behavior51,52.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [51] Santello, M., Toni, N. & Volterra, A. Astrocyte function from information processing to cognition and cognitive impairment. Nat. Neurosci. 22, 154–166 (2019). source
- cites [52] Semyanov, A., Henneberger, C. & Agarwal, A. Making sense of astrocytic calcium signals - from acquisition to interpretation. Nat. Rev. Neurosci. 21, 551–564 (2020). source
- Premisecitation
Only a subset, often a mix of A1 and A2 or pan-reactive transcripts, are upregulated in astrocytes from brains of study participants with HD or AD, or from several mouse models of acute injuries and chronic diseases of the CNS.
“Importantly, only a subset, often a mix of A1 and A2 or pan-reactive transcripts, are upregulated in astrocytes from brains of study participants with HD74 or AD75,76, or from several mouse models of acute injuries and chronic diseases of the CNS42,69,76,77.”
Quote in the paperSubstantial claim4 of 6 sources checked- cites [74] Al-Dalahmah, O. et al. Single-nucleus RNA-seq identifies Huntington disease astrocyte states. Acta Neuropathol. Commun. 8, 19 (2020). source
- cites [75] Grubman, A. et al. A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat. Neurosci. 22, 2087–2097 (2019). source
- cites [76] Zhou, Y. et al. Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer’s disease. Nat. Med. 26, 131–142 (2020). source
The Results report limited astrocyte transcriptional changes in the 5XFAD mouse model, while the Results and Discussion identify upregulated astrocyte genes in human AD. The paper does not characterize those upregulated genes as a mix of A1, A2, or pan-reactive transcripts; it says the human AD astrocyte profile was quite different from the A1 profile. The HD and other-model portions of the citing sentence carry separate citations and are not assessed against this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [42] Ceyzériat, K. et al. Modulation of astrocyte reactivity improves functional deficits in mouse models of Alzheimer’s disease. Acta Neuropathol. Commun. 6, 104 (2018). source
The Results section (‘SOCS3 normalizes multiple reactive astrocyte markers in AD mice’; page unavailable) reports induced pan-reactive, A1 and A2 markers in astrocytes from an AD mouse model, supporting the mixed-marker portion of the claim. This paper does not establish that pattern in astrocytes from human AD participants or across several models of acute CNS injury and chronic disease. The HD portion is attached to a different citation. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [69] Diaz-Castro, B., Gangwani, M. R., Yu, X., Coppola, G. & Khakh, B. S. Astrocyte molecular signatures in Huntington’s disease. Sci. Transl. Med. 11, eaaw8546 (2019). source
- cites [77] Das, S., Li, Z., Noori, A., Hyman, B. T. & Serrano-Pozo, A. Meta-analysis of mouse transcriptomic studies supports a context-dependent astrocyte reaction in acute CNS injury versus neurodegeneration. J. Neuroinflammation 17, 227 (2020). source
The Results section on A1 and A2 signatures (page not provided) reports that A1, A2, and pan-reactive genes were generally upregulated across the mouse acute-injury and neurodegeneration models, supporting the mixed-signature portion of the claim. But the Results section on human validation says none of the three mouse signatures was clearly present in the two astrocyte-specific AD datasets; the AD concordance it found came from bulk-tissue datasets. Thus this source does not establish the claimed upregulation in astrocytes from people with AD. The HD portion is attached to a different citation. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Two new names have recently been coined to describe the extremes of six astrocytic transcriptional clusters detected by snRNAseq in the hippocampus of AD transgenic and wild-type mice.
“Nonetheless, two new names have recently been coined to describe the extremes of six astrocytic transcriptional clusters detected by snRNAseq in the hippocampus of AD transgenic and wild-type mice78.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [78] Habib, N. et al. Disease-associated astrocytes in Alzheimer’s disease and aging. Nat. Neurosci. 23, 701–706 (2020). source
The passage on astrocyte states reports six transcriptional sub-clusters from single-nucleus RNA-seq of WT and 5xFAD mouse hippocampi. It says the authors coined “Disease-Associated Astrocytes” for cluster 4, but does not say they coined two new names for the extremes: it describes Gfap-low and Gfap-high states as consistent with previous observations, and the DAA state as an additional state. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Advanced statistics using multidimensional data and co-clustering approaches reveals that the A1 and A2 transcriptomes represent only two of many potential astrocyte transcriptomes segregating along several latent variables.
“In addition, advanced statistics using multidimensional data and co-clustering approaches reveals that the A1 and A2 transcriptomes represent only two of many potential astrocyte transcriptomes segregating along several latent variables79.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [79] Henrik Heiland, D. et al. Tumor-associated reactive astrocytes aid the evolution of immunosuppressive environment in glioblastoma. Nat. Commun. 10, 2541 (2019). source
The Results section (page unavailable) describes a multidimensional analysis of astrocyte expression along maturation and inflammatory–alternative activation axes. The Discussion says the A2 phenotype may hide multiple reactive stages. The copy does not establish that A1 and A2 are just two of many astrocyte transcriptomes segregating along several latent variables, or describe a co-clustering approach to that conclusion. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The serum pervasively used in culture media may render hiPSC-derived astrocytes reactive.
“Importantly, not only are these cells removed from their original milieu, but the serum pervasively used in culture media may render them reactive84.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [84] Perriot, S. et al. Human induced pluripotent stem cell-derived astrocytes are differentially activated by multiple sclerosis-associated cytokines. Stem Cell Reports 11, 1199–1210 (2018). source
- Premisecitation
ScRNAseq and snRNAseq are becoming established as valuable tools to gain insight into basal and reactive-astrocyte heterogeneity.
“ScRNAseq and snRNAseq are becoming established as valuable tools to gain insight into basal94 and reactive-astrocyte heterogeneity (Fig. 1e)40,78,95.”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [94] Batiuk, M. Y. et al. Identification of region-specific astrocyte subtypes at single cell resolution. Nat. Commun. 11, 1220 (2020). source
The Abstract and Results show that single-cell RNA sequencing identified distinct astrocyte subtypes in adult mouse cortex and hippocampus, supporting its use to study basal heterogeneity. This paper does not establish the corresponding claim for single-nucleus RNA sequencing; its own study also does not examine reactive astrocyte heterogeneity. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [40] Wheeler, M. A. et al. MAFG-driven astrocytes promote CNS inflammation. Nature 578, 593–599 (2020). The first study combining scRNAseq to characterize reactive astrocytes with targeted molecular manipulations demonstrates, in a mouse model of MS, that reactive astrocytes are molecularly and functionally heterogeneous, depending on brain area and disease stage. source
The ‘scRNA-seq analysis of astrocytes in EAE’ section reports that scRNA-seq identified several astrocyte subpopulations during CNS inflammation, supporting its value for studying reactive-astrocyte heterogeneity. The cited paper does not establish the corresponding point for snRNA-seq. The sentence cites a different source for basal heterogeneity. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [78] Habib, N. et al. Disease-associated astrocytes in Alzheimer’s disease and aging. Nat. Neurosci. 23, 701–706 (2020). source
- cites [95] Mathys, H. et al. Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332–337 (2019). First snRNAseq analysis in human AD samples identifies sub-populations of reactive astrocytes. source
- Premisecitation
Neuronal damage due to nitrosative stress caused by astrocyte-derived nitric oxide occurs in multiple sclerosis.
“An example is neuronal damage due to nitrosative stress caused by astrocyte-derived nitric oxide in MS33.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [33] Colombo, E. et al. Stimulation of the neurotrophin receptor TrkB on astrocytes drives nitric oxide production and neurodegeneration. J. Exp. Med. 209, 521–535 (2012). Demonstration that astrocytes may become neurotoxic by releasing nitric oxide. source
The Results report nitrosylation in MS lesions, including affected axons near a TrkB-positive glial network. The Discussion establishes astrocyte-derived nitric oxide as a cause of neuronal damage in vitro, but says its contribution to neuronal damage in MS is speculative; it does not establish that causal chain in patients. Page numbers are not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Reactive microglia may shift astrocyte signaling from physiological to pathological by increasing production of TNFα, thus altering synaptic functions and behavior.
“Reactive microglia may shift astrocyte signaling from physiological to pathological by increasing production of tumor necrosis factor α (TNFα), thus altering synaptic functions and behavior57.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [57] Habbas, S. et al. Neuroinflammatory TNFα impairs memory via astrocyte signaling. Cell 163, 1730–1741 (2015). This study illustrates how modulation of astrocyte signaling via TNFα can switch from physiological to pathological. source
- Premisecitation
Reactive astrocytes are diverse, as demonstrated by transcriptomic profiling of mouse bulk astrocytes or preselected astrocyte populations.
“Likewise, reactive astrocytes are also diverse, as unequivocally demonstrated by microarray-based66–68 and RNAseq-based48,69–71 transcriptomic profiling of mouse bulk astrocytes48,66–70 or of astrocyte populations preselected according to cell-surface markers71.”
Quote in the paperSubstantial claim5 of 7 sources checked- cites [66] Zamanian, J. L. et al. Genomic analysis of reactive astrogliosis. J. Neurosci. 32, 6391–6410 (2012). First evidence for molecular heterogeneity of reactive astrocytes using microarray-based transcriptomics of acutely isolated astrocytes from mouse models of ischemia and septic shock. Studies in virtually all models of CNS diseases followed. source
- cites [67] Orre, M. et al. Isolation of glia from Alzheimer’s mice reveals inflammation and dysfunction. Neurobiol. Aging 35, 2746–2760 (2014). source
- cites [68] Sirko, S. et al. Astrocyte reactivity after brain injury-: The role of galectins 1 and 3. Glia 63, 2340–2361 (2015). source
The Results section, “Injury-Induced Changes of Gene Expression in the Cerebral Cortex GM Astrocytes” (page unavailable), reports microarray profiling of sorted mouse reactive astrocytes. The Discussion, “Insights from Genomewide Expression Analysis” (page unavailable), describes heterogeneity, but says transcriptomic comparison of the GFAP-positive and GFAP-negative subsets remains to be done. Thus this paper supports the use of transcriptomic profiling and evidence of diversity, but not the claim that profiling itself demonstrated diversity among reactive astrocyte subsets. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [48] Anderson, M. A. et al. Astrocyte scar formation aids central nervous system axon regeneration. Nature 532, 195–200 (2016). source
- cites [69] Diaz-Castro, B., Gangwani, M. R., Yu, X., Coppola, G. & Khakh, B. S. Astrocyte molecular signatures in Huntington’s disease. Sci. Transl. Med. 11, eaaw8546 (2019). source
- cites [70] Itoh, N. et al. Cell-specific and region-specific transcriptomics in the multiple sclerosis model: Focus on astrocytes. Proc. Natl Acad. Sci. USA 115, E302–E309 (2018). source
- cites [71] John Lin, C. C. et al. Identification of diverse astrocyte populations and their malignant analogs. Nat. Neurosci. 20, 396–405 (2017). source
The Results section, “Heterogeneity of Aldh1l1–GFP+ astrocyte subpopulations” (page unavailable), reports RNA-seq profiling of FACS-isolated mouse astrocyte populations and distinct molecular signatures. This supports the marker-preselected-populations part of the citation, but the profiled populations are not identified as reactive astrocytes; the paper therefore does not establish the claim about reactive astrocyte diversity. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Interpretationcitation
Excessive release of GABA by reactive astrocytes in AD and Parkinson's disease may be a case of gain of detrimental function.
“The excessive release of GABA by reactive astrocytes in AD63 and Parkinson’s disease64 may be a case of gain of detrimental function.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [63] Jo, S. et al. GABA from reactive astrocytes impairs memory in mouse models of Alzheimer’s disease. Nat. Med. 20, 886–896 (2014). Demonstration of astrocyte-targeted pharmacological manipulations to restore neural circuit homeostasis by correcting production of GABA by astrocytes in an AD mouse model. source
- cites [64] Heo, J. Y. et al. Aberrant tonic inhibition of dopaminergic neuronal activity causes motor symptoms in animal models of Parkinson’s disease. Curr. Biol. 30, 276–291.e9 (2020). source
- Premisecitation
A classical gain of beneficial function is the restriction of immune cell infiltration in open injuries by scar-border forming reactive astrocytes.
“Finally, a classical gain of beneficial function is the restriction of immune cell infiltration in open injuries by scar-border forming reactive astrocytes7.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [7] Sofroniew, M. V. Astrocyte barriers to neurotoxic inflammation. Nat. Rev. Neurosci. 16, 249–263 (2015). source
- Interpretationcitation
Instead of individual markers, signatures composed of a combination of markers with specified levels of expression or relative fold-changes are required to identify astrocyte phenotypes.
“Thus, instead of individual markers, signatures composed of a combination of markers with specified levels of expression or relative fold-changes are required to identify astrocyte phenotypes74.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [74] Al-Dalahmah, O. et al. Single-nucleus RNA-seq identifies Huntington disease astrocyte states. Acta Neuropathol. Commun. 8, 19 (2020). source
The Methods section ('Supervised classification of astrocytes'; page unavailable) assigns astrocytes to states using specified expression thresholds for three genes, supporting the use of combined marker signatures. The paper does not establish the broader claim that such signatures are required, rather than individual markers, to identify astrocyte phenotypes generally. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Morphological and transcriptomic comparisons have revealed prominent differences between mice and humans.
“morphological and transcriptomic comparisons have revealed prominent differences between mice and humans101–103”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [101] Zhang, Y. et al. Purification and characterization of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse. Neuron 89, 37–53 (2016). First study reporting transcriptomes of human astrocytes, paving the way for the highly used open-source database of gene expression for all brain cell types in humans and mice (https://www.brainrnaseq.org/). source
- cites [102] Oberheim, N. A. et al. Uniquely hominid features of adult human astrocytes. J. Neurosci. 29, 3276–3287 (2009). source
The Discussion reports marked morphological differences between human and rodent astrocytes, and the Results include a direct comparison with mouse astrocytes. The paper does not report a transcriptomic comparison, so it supports the morphological part of the sentence but not the transcriptomic part. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [103] Oberheim, N. A., Wang, X., Goldman, S. & Nedergaard, M. Astrocytic complexity distinguishes the human brain. Trends Neurosci. 29, 547–553 (2006). source
- Premisecitation
Classical knockout-, knockdown-, or CRISPR-based approaches to inactivate gene expression are available to gain insight into the impact on disease of a given pathway within previously identified astrocyte subsets.
“Classical knockout-, knockdown-, or CRISPR-based approaches to inactivate gene expression are available to gain insight into the impact on disease of a given pathway within previously identified astrocyte subsets40.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [40] Wheeler, M. A. et al. MAFG-driven astrocytes promote CNS inflammation. Nature 578, 593–599 (2020). The first study combining scRNAseq to characterize reactive astrocytes with targeted molecular manipulations demonstrates, in a mouse model of MS, that reactive astrocytes are molecularly and functionally heterogeneous, depending on brain area and disease stage. source
The paper identifies astrocyte subpopulations by scRNA-seq (scRNA-seq analysis of astrocytes in EAE) and uses Nfe2l2 knockdown, astrocyte-directed CRISPR–Cas9 inactivation, and an astrocyte-specific Csf2rb knockout to examine effects on EAE (NRF2 in astrocytes suppresses EAE; MAFG drives pathogenic astrocytes; GM-CSF boosts pathogenic astrocytes; pages unavailable). These perturbations targeted astrocytes generally, not specifically the previously identified subpopulations, so the subset-specific part of the claim is not established. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Some basic functional properties of astrocytes are evolutionarily conserved between humans and rodents.
“Although some basic functional properties of astrocytes have been shown to be evolutionarily conserved between humans and rodents100”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [100] Bedner, P., Jabs, R. & Steinhäuser, C. Properties of human astrocytes and NG2 glia. Glia 68, 756–767 (2020). source
- Interpretationreasoning
The cocktail of factors released by LPS-treated neonatal microglia cannot be simply assumed to model reactive astrocytes in diseases other than neonatal septic shock due to infection by gram-negative bacteria.
“For example, the now widely-used cocktail of factors released by LPS-treated neonatal microglia72 cannot be simply assumed to model reactive astrocytes in diseases other than neonatal septic shock due to infection by gram-negative bacteria.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [72] Liddelow, S. A. et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541, 481–487 (2017). source
- Interpretationcitation
The outcome of activating a signaling pathway may depend on the upstream stimuli or priming caused by previous exposure to other stimuli, perhaps through epigenetic control.
“To complicate things further, the outcome of activating a signaling pathway may depend on the upstream stimuli82 or priming caused by previous exposure to other stimuli97, perhaps through epigenetic control40.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [82] Tyzack, G. E. et al. A neuroprotective astrocyte state is induced by neuronal signal EphB1 but fails in ALS models. Nat. Commun. 8, 1164 (2017). source
- cites [97] Hennessy, E., Griffin, E. W. & Cunningham, C. Astrocytes are primed by chronic neurodegeneration to produce exaggerated chemokine and cell infiltration responses to acute stimulation with the cytokines IL-1β and TNF-α. J. Neurosci. 35, 8411–8422 (2015). source
- cites [40] Wheeler, M. A. et al. MAFG-driven astrocytes promote CNS inflammation. Nature 578, 593–599 (2020). The first study combining scRNAseq to characterize reactive astrocytes with targeted molecular manipulations demonstrates, in a mouse model of MS, that reactive astrocytes are molecularly and functionally heterogeneous, depending on brain area and disease stage. source
- Premisecitation
Artificial intelligence can identify patterns of Ca2+ signaling in astrocytes.
“Artificial intelligence can identify patterns of Ca2+ signaling in astrocytes55,120.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [55] Agarwal, A. et al. Transient opening of the mitochondrial permeability transition pore induces microdomain calcium transients in astrocyte processes. Neuron 93, 587–605.e7 (2017). Technically refined application of Ca2+ imaging approaches and machine learning unraveled dysregulation of Ca2+ responses in a mouse model of ALS. source
- cites [120] Wang, Y. et al. Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology. Nat. Neurosci. 22, 1936–1944 (2019). source
- Premisecitation
2D and 3D Ca2+ imaging generates kinetic profiles and maps for single astrocytes and 2D or 3D networks.
“An example of functional data is 2D and 3D Ca2+ imaging that generates kinetic profiles and maps for single astrocytes and 2D or 3D networks (Fig. 1c)119,120.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [119] Bindocci, E. et al. Three-dimensional Ca2+ imaging advances understanding of astrocyte biology. Science 356, eaai8185 (2017). source
- cites [120] Wang, Y. et al. Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology. Nat. Neurosci. 22, 1936–1944 (2019). source
The Results section on single-cell physiological heterogeneities describes extracting time courses and mapping Ca2+ activity in individual astrocytes, while the Introduction describes analysis across cellular and population-wide scales. But the Discussion says AQuA was optimized for 2D data and that its 3D version was only a prototype tested on simulated data; this paper does not establish the claimed 3D network mapping. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Interventional strategies such as classical pharmacology, genetic manipulation, and biomaterials are available tools to modify pathological signaling in reactive astrocytes for therapeutic purposes.
“Finally, interventional strategies such as classical pharmacology56,98, genetic manipulation42,56, and biomaterials99 are available tools to modify pathological signaling in reactive astrocytes for therapeutic purposes.”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [56] Reichenbach, N. et al. P2Y1 receptor blockade normalizes network dysfunction and cognition in an Alzheimer’s disease model. J. Exp. Med. 215, 1649–1663 (2018). source
- cites [98] Park, J. H. et al. Newly developed reversible MAO-B inhibitor circumvents the shortcomings of irreversible inhibitors in Alzheimer’s disease. Sci. Adv. 5, v0316 (2019). source
- cites [42] Ceyzériat, K. et al. Modulation of astrocyte reactivity improves functional deficits in mouse models of Alzheimer’s disease. Acta Neuropathol. Commun. 6, 104 (2018). source
The Discussion section reports that astrocyte-targeted viral gene transfer altered JAK2–STAT3 signaling in Alzheimer’s disease mouse models, supporting genetic manipulation as an intervention. The cited paper does not establish classical pharmacology as a tool for this purpose; the biomaterials example is attached to a different citation. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [99] Zuidema, J. M., Gilbert, R. J. & Gottipati, M. K. Biomaterial approaches to modulate reactive astroglial response. Cells Tissues Organs 205, 372–395 (2018). source
- Premisecitation
Molecular data (for example, -omics) can be transformed into mathematical maps by artificial intelligence, thereby providing quantitative representations of the otherwise-vague notion of phenotypes.
“Currently, molecular data (for example, -omics) can be transformed into mathematical maps by artificial intelligence118, thereby providing quantitative representations of the otherwise-vague notion of phenotypes.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [118] Romeo-Guitart, D. et al. Neuroprotective drug for nerve trauma revealed using artificial intelligence. Sci. Rep. 8, 1879 (2018). source
- Premisecitation
hiPSC glial mouse chimeric brains offer the possibility to study human astrocytes from patients in contexts amenable to in vivo experimentation.
“hiPSC glial mouse chimeric brains, in which hiPSC differentiate into human astrocytes, oligodendrocytes, and their progenitors, offer the possibility to study human astrocytes from patients in contexts amenable to in vivo experimentation113,114”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [113] Han, X. et al. Forebrain engraftment by human glial progenitor cells enhances synaptic plasticity and learning in adult mice. Cell Stem Cell 12, 342–353 (2013). source
The Discussion describes human glial-chimeric mice as a model for studying human glial cells, including pathological aspects of their biology, in the live adult brain. However, the Experimental Procedures say the transplanted progenitors came from fetal tissue, not patient-derived hiPSCs. The Results also report no detectable human oligodendroglia in these mice, so the cited paper does not support that detail of the citing sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [114] Osipovitch, M. et al. Human ESC-derived chimeric mouse models of Huntington’s disease reveal cell-Intrinsic defects in glial progenitor cell differentiation. Cell Stem Cell 24, 107–122.e7 (2019). source
The Results section ('mHTT impairs human astroglial differentiation in vivo'; page not provided) describes studying human astrocytes in glial-engrafted mouse brains, supporting the in vivo model. But the Experimental Model section (page not provided) says the Huntington’s disease glial progenitors came from human embryonic stem cells, not patient-derived hiPSCs; the iPSC line mentioned in the Results was a control. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationreasoning
Changes in GFAP expression may reflect physiological adaptive plasticity rather than simply a reactive response to pathological stimuli.
“Therefore, changes in GFAP expression may also reflect physiological adaptive plasticity rather than being simply a reactive response to pathological stimuli.”
Quote in the paperSubstantial claim - Premisereasoning
Upregulation of GFAP mRNA and protein is a prominent feature of many, but not necessarily all, reactive astrocytes.
“Indeed, upregulation of GFAP mRNA and protein, as shown with multiple techniques including quantitative PCR (qPCR), RNA sequencing (RNAseq), in situ hybridization, electron microscopy, and immunostaining (Fig. 1a,d), is a prominent feature of many, but not necessarily all, reactive astrocytes”
Quote in the paperSubstantial claim - Premisenone given
Increased GFAP content occurs across diverse types of CNS disorders.
“(i) increased GFAP content occurs across diverse types of CNS disorders”
Quote in the paperSubstantial claim - Premisenone given
Increased GFAP content is an early response to injury.
“(ii) is an early response to injury”
Quote in the paperNot a substantial claim - Premisenone given
Increased GFAP content is a sensitive indicator, detectable even in the absence of overt neuronal death, for example when there is synapse loss, minor demyelination, and extracellular amyloid-β oligomers.
“(iii) is a sensitive indicator, detectable even in the absence of overt neuronal death (for example, when there is synapse loss, minor demyelination, and extracellular amyloid-β oligomers).”
Quote in the paperSubstantial claim - Premisecitation
Animal models expressing fluorescent proteins in the astrocyte cytosol or membrane through astrocyte-specific transgenesis or viral gene transfer circumvent the limitations of immunohistochemical analysis.
“Animal models expressing fluorescent proteins in the astrocyte cytosol or membrane through astrocyte-specific transgenesis or after gene transfer with viral vectors25 circumvent the limitations of immunohistochemical analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Yu, X., Nagai, J. & Khakh, B. S. Improved tools to study astrocytes. Nat. Rev. Neurosci. 21, 121–138 (2020). source
- Interpretationreasoning
Cytoskeletal reorganization does not necessarily equal astrocyte hypertrophy.
“In other words, cytoskeletal reorganization does not necessarily equal astrocyte hypertrophy.”
Quote in the paperSubstantial claim - Premisecitation
GFAP is the most widely used marker of reactive astrocytes.
“Glial fibrillary acidic protein (GFAP)—a major protein constituent of astrocyte intermediate filaments—is the most widely used marker of reactive astrocytes (Table 1)12.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Eng, L. F., Vanderhaeghen, J. J., Bignami, A. & Gerstl, B. An acidic protein isolated from fibrous astrocytes. Brain Res. 28, 351–354 (1971). The first identification of human GFAP in astrocytes from old multiple sclerosis plaques, post-leucotomy scars, and the occipital and frontal horns of the lateral ventricles in aged individuals with hydrocephalus ex vacuo. source
- Premisecitation
Clasmatodendrosis is observed in neuropathological specimens after severe trauma and ischemia, as well as in the aged brain.
“It is observed in neuropathological specimens after severe trauma and ischemia, as well as in the aged brain29.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Tachibana, M. et al. Clasmatodendrosis is associated with dendritic spines and does not represent autophagic astrocyte death in influenza-associated encephalopathy. Brain Dev 41, 85–95 (2019). source
- Interpretationreasoning
Translation from scRNAseq or snRNAseq data to in situ immunohistochemical detection and functional validations is far from trivial because the molecular profiles of astrocyte clusters and subpopulations partly overlap.
“Translation from scRNAseq or snRNAseq data to in situ immunohistochemical detection and functional validations is far from trivial, because the molecular profiles of astrocyte clusters and subpopulations partly overlap.”
Quote in the paperSubstantial claim - Interpretationreasoning
Steadily increasing evidence indicates that any binary polarization of reactive astrocytes falls short of capturing their phenotypic diversity across disorders.
“In addition, steadily increasing evidence indicates that any binary polarization of reactive astrocytes falls short of capturing their phenotypic diversity across disorders.”
Quote in the paperSubstantial claim - Interpretationreasoning
Multidimensional data are necessary to establish the distinctiveness of astrocyte phenotypes.
“The analyses also indicate that multidimensional data are necessary to establish the distinctiveness of astrocyte phenotypes (Fig. 2).”
Quote in the paperSubstantial claim - Interpretationreasoning
Although data suggest complex changes in aging astrocytes, the evidence is not yet sufficient to qualify astrocytes as being bona fide reactive during physiological aging.
“Thus, although the data suggest complex changes in aging astrocytes, the evidence is not yet sufficient to qualify astrocytes as being bona fide reactive during physiological aging.”
Quote in the paperSubstantial claim - Interpretationreasoning
The mere expression of some or even all A1/A2 marker genes does not prove the presence of functions that these genes have not been demonstrated to exert.
“Thus, the mere expression of some or even all these marker genes does not prove the presence of functions that these genes have not been demonstrated to exert.”
Quote in the paperSubstantial claim - Interpretationreasoning
Generalization of the disease-associated astrocyte classification to other conditions is not supported because only one disease was studied.
“We do not support generalization of this ‘disease-associated’ classification to other conditions because only one disease was studied.”
Quote in the paperSubstantial claim - Premisenone given
No experimental evidence has causally linked any proposed marker genes of A1 or A2 astrocytes to either toxic or protective functions.
“Moreover, the functions of these genes are not known, because, to date, no experimental evidence has causally linked any of the proposed marker genes of A1 or A2 astrocytes to either toxic or protective functions.”
Quote in the paperSubstantial claim - Interpretationreasoning
C3 should not be regarded as a single and definitive marker that unequivocally labels astrocytes with a net detrimental effect.
“Specifically, complement factor 3 (C3) should not be regarded as a single and definitive marker that unequivocally labels astrocytes with a net detrimental effect.”
Quote in the paperSubstantial claim - Premisecitation
Only a few studies have directly assessed astrocyte functions in the aging mouse brain.
“However, only a few studies have directly assessed astrocyte functions in the aging mouse brain85,92.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [85] Rodríguez-Arellano, J. J., Parpura, V., Zorec, R. & Verkhratsky, A. Astrocytes in physiological aging and Alzheimer’s disease. Neuroscience 323, 170–182 (2016). source
- cites [92] Peters, O. et al. Astrocyte function is modified by Alzheimer’s disease-like pathology in aged mice. J. Alzheimers Dis. 18, 177–189 (2009). source
- Premisecitation
Astrocyte diversity in healthy tissue arises from embryonic patterning programs or local neuronal cues.
“Astrocyte diversity in healthy tissue arises from embryonic patterning programs or local neuronal cues14.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Ben Haim, L. & Rowitch, D. H. Functional diversity of astrocytes in neural circuit regulation. Nat. Rev. Neurosci. 18, 31–41 (2017). source
- Interpretationcitation
Pathways inducing astrocyte reactivity may be beneficial in one disease and detrimental in another.
“Finally, pathways inducing astrocyte reactivity may be beneficial in one disease and detrimental in another.”
Quote in the paperSubstantial claim - Interpretationnone given
The existence of fixed categories defined by molecular and functional features consistently observed in different disease contexts is not yet certain.
“Indeed, the existence of fixed categories defined by molecular and functional features consistently observed in different disease contexts is not yet certain.”
Quote in the paperSubstantial claim - Premisecitation
Aged human brains display only mild and heterogeneous changes in astrocyte morphology or GFAP levels.
“Aged human brains display only mild and heterogeneous changes in astrocyte morphology or GFAP levels86.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] Jyothi, H. J. et al. Aging causes morphological alterations in astrocytes and microglia in human substantia nigra pars compacta. Neurobiol. Aging 36, 3321–3333 (2015). source
- Premisecitation
Proteins released by injured astrocytes are currently being considered as fluid biomarkers of neurological trauma.
“proteins released by injured astrocytes are currently being considered as fluid biomarkers of neurological trauma31”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Halford, J. et al. New astroglial injury-defined biomarkers for neurotrauma assessment. J. Cereb. Blood Flow Metab. 37, 3278–3299 (2017). These data led to the first clinically used kit based on astrocyte-derived fluid biomarkers for neurotrauma assessments. source
- Premisecitation
MAO-B-based PET provides important topographical information.
“which provides important topographical information (Table 1)117”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [117] Carter, S. F. et al. Astrocyte biomarkers in Alzheimer’s disease. Trends Mol. Med. 25, 77–95 (2019). source
- Interpretationreasoning
An important implication of the disease-specific induction of distinct reactive astrocyte states is that the damage- and pathogen-associated stimuli from one disorder cannot be assumed to be active in another.
“An important implication of the disease-specific induction of distinct reactive astrocyte states is that the damage- and pathogen-associated stimuli from one disorder cannot be assumed to be active in another.”
Quote in the paperSubstantial claim
- May combine two claims. 36
- Classified as probably not a substantial claim. 12
May combine two claims.
PremisecitationGFAP expression is modulated by physiological stimuli such as physical activity, enriched environments, and glucocorticoids, and fluctuates with circadian rhythms in the suprachiasmatic nucleus.
“Expression of GFAP is also modulated by physiological stimuli such as physical activity19, exposure to enriched environments19, and glucocorticoids20, and it fluctuates with circadian rhythms in the suprachiasmatic nucleus21.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [19] Rodríguez, J. J., Terzieva, S., Olabarria, M., Lanza, R. G. & Verkhratsky, A. Enriched environment and physical activity reverse astrogliodegeneration in the hippocampus of AD transgenic mice. Cell Death Dis 4, e678 (2013). source
The paper reports that voluntary running and enriched environments increased the surface area and volume of GFAP-positive astrocyte profiles in the hippocampus of mice (main text; page not provided). It does not establish that GFAP expression itself changed. The glucocorticoid and circadian-rhythm clauses are attached to other citations, not this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [20] O’Callaghan, J. P., Brinton, R. E. & McEwen, B. S. Glucocorticoids regulate the synthesis of glial fibrillary acidic protein in intact and adrenalectomized rats but do not affect its expression following brain injury. J. Neurochem. 57, 860–869 (1991). source
- cites [21] Gerics, B., Szalay, F. & Hajós, F. Glial fibrillary acidic protein immunoreactivity in the rat suprachiasmatic nucleus: circadian changes and their seasonal dependence. J. Anat. 209, 231–237 (2006). Early demonstration that GFAP is regulated in a physiological context. source
May combine two claims.
PremisecitationThe degree of GFAP upregulation in reactive astrocytes often parallels the severity of injury, but this correlation is not always proportional, perhaps due to regional differences of astrocytes including basal GFAP content.
“However, while the degree of GFAP upregulation in reactive astrocytes often parallels the severity of the injury6, this correlation is not always proportional, perhaps due to regional differences of astrocytes, including basal GFAP content13,14.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [6] Escartin, C., Guillemaud, O. & Carrillo-de Sauvage, M. A. Questions and (some) answers on reactive astrocytes. Glia 67, 2221–2247 (2019). source
The passages available from our copy are repository metadata and navigation text, not the paper’s discussion; they have no section or page labels. Searches for GFAP upregulation, injury severity, regional differences, and basal GFAP content returned no passage addressing the claim, so it cannot be assessed from this copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites [13] Griemsmann, S. et al. Characterization of panglial gap junction networks in the thalamus, neocortex, and hippocampus reveals a unique population of glial cells. Cereb. Cortex 25, 3420–3433 (2015). source
- cites [14] Ben Haim, L. & Rowitch, D. H. Functional diversity of astrocytes in neural circuit regulation. Nat. Rev. Neurosci. 18, 31–41 (2017). source
May combine two claims.
PremisecitationDye-filling methods can visualize whole astrocytes in mice and in human brain samples from surgical resections.
“Further, dye-filling methods can be used to visualize whole astrocytes in mice23, as well as in human brain samples from surgical resections (Fig. 1b)24.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [23] Wilhelmsson, U. et al. Redefining the concept of reactive astrocytes as cells that remain within their unique domains upon reaction to injury. Proc. Natl Acad. Sci. USA 103, 17513–17518 (2006). The complete visualization of astrocytes using whole-cell filling techniques revealed that reactive astrocytes display subtle morphological changes and remain in their 3D territorial domain, highlighting that GFAP immunostaining overestimates the true degree of astrocyte hypertrophy. source
- cites [24] Sosunov, A. A. et al. Phenotypic heterogeneity and plasticity of isocortical and hippocampal astrocytes in the human brain. J. Neurosci. 34, 2285–2298 (2014). source
May combine two claims.
PremisecitationGFAP is expressed by progenitor cells and its expression depends on developmental stages.
“GFAP is also expressed by progenitor cells15 and its expression depends on developmental stages16,17.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [15] Kriegstein, A. & Alvarez-Buylla, A. The glial nature of embryonic and adult neural stem cells. Annu. Rev. Neurosci. 32, 149–184 (2009). source
- cites [16] Cahoy, J. D. et al. A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function. J. Neurosci. 28, 264–278 (2008). This study represented a technical and conceptual breakthrough in the neurosciences as the first unbiased classification of brain cell populations based on transcriptomic profiles using early microarray analyses. The resulting transcriptomes are a powerful tool to gain insight into novel brain cell functions. More recently, the classification of brain cells has been further refined and enriched by sc/snRNAs source
The citation to this paper is attached to the developmental-stage part of the sentence, not the progenitor-cell part. The section on gene expression changes during astrocyte and oligodendrocyte development compares developmental stages, and the Aldh1L1 marker section discusses GFAP, but neither passage says that GFAP expression changes with developmental stage. Searches for GFAP at P1, P7, and P17 found no decisive passage. (LLM, conf=0.70)
Experimental — accuracy not yet measured - cites [17] Roybon, L. et al. Human stem cell-derived spinal cord astrocytes with defined mature or reactive phenotypes. Cell Rep 4, 1035–1048 (2013). source
May combine two claims.
PremisecitationAstrocytes undergo distinct morphological changes other than hypertrophy in pathological contexts, including elongation, process extension toward injury site, and some 3D domain overlap.
“Thorough visualization is necessary because astrocytes undergo distinct morphological changes other than hypertrophy in pathological contexts, including elongation, process extension toward injury site, and some three-dimensional (3D) domain overlap26.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [26] Schiweck, J., Eickholt, B. J. & Murk, K. Important shapeshifter: mechanisms allowing astrocytes to respond to the changing nervous system during development, injury and disease. Front. Cell. Neurosci. 12, 261 (2018). source
May combine two claims.
PremisecitationIncreased GFAP immunoreactivity largely reflects changes in the astrocytic cytoskeleton and tends to exaggerate the degree of hypertrophy because, except for scar-border astrocytes, the volume accessed by reactive astrocytes does not change, as they remain in their territorial domains.
“Increased GFAP immunoreactivity largely reflects changes in the astrocytic cytoskeleton and tends to exaggerate the degree of hypertrophy because, with the exception of scar-border astrocytes, the volume accessed by reactive astrocytes does not change, as they remain in their territorial domains23.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [23] Wilhelmsson, U. et al. Redefining the concept of reactive astrocytes as cells that remain within their unique domains upon reaction to injury. Proc. Natl Acad. Sci. USA 103, 17513–17518 (2006). The complete visualization of astrocytes using whole-cell filling techniques revealed that reactive astrocytes display subtle morphological changes and remain in their 3D territorial domain, highlighting that GFAP immunostaining overestimates the true degree of astrocyte hypertrophy. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationExpression of some astrocyte proteins may change in reactive astrocytes, and some might be expressed by other cell types in specific brain regions.
“In addition, the expression of some of these proteins may change in reactive astrocytes22 (Table 1), and some might be expressed by other cell types in specific brain regions13.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [22] Serrano-Pozo, A., Gómez-Isla, T., Growdon, J. H., Frosch, M. P. & Hyman, B. T. A phenotypic change but not proliferation underlies glial responses in Alzheimer disease. Am. J. Pathol. 182, 2332–2344 (2013). source
- cites [13] Griemsmann, S. et al. Characterization of panglial gap junction networks in the thalamus, neocortex, and hippocampus reveals a unique population of glial cells. Cereb. Cortex 25, 3420–3433 (2015). source
May combine two claims.
PremisecitationTranscriptomic profiling shows that reactive astrocytes adopt distinct molecular states in different disease models, in different CNS regions, and in brain tumors.
“Such transcriptomic profiling specifically shows that reactive astrocytes adopt distinct molecular states in different disease models48,66–70, in different CNS regions70, and in brain tumors71.”
Quote in the paperSubstantial claim5 of 7 sources checked- cites [48] Anderson, M. A. et al. Astrocyte scar formation aids central nervous system axon regeneration. Nature 532, 195–200 (2016). source
The Extended Data compare RNA-seq profiles of spinal-cord-injury reactive astrocytes with previously reported forebrain stroke-reactive astrocytes; only 58.5% of the top elevated forebrain genes were also significantly elevated after spinal cord injury. This supports molecular differences between those contexts, but disease model and CNS region change together, so the paper does not establish distinct states attributable to region independently. The brain-tumor clause is attached to a different citation. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [66] Zamanian, J. L. et al. Genomic analysis of reactive astrogliosis. J. Neurosci. 32, 6391–6410 (2012). First evidence for molecular heterogeneity of reactive astrocytes using microarray-based transcriptomics of acutely isolated astrocytes from mouse models of ischemia and septic shock. Studies in virtually all models of CNS diseases followed. source
- cites [67] Orre, M. et al. Isolation of glia from Alzheimer’s mice reveals inflammation and dysfunction. Neurobiol. Aging 35, 2746–2760 (2014). source
- cites [68] Sirko, S. et al. Astrocyte reactivity after brain injury-: The role of galectins 1 and 3. Glia 63, 2340–2361 (2015). source
The Results section, “Injury-Induced Changes of Gene Expression in the Cerebral Cortex GM Astrocytes” (page unavailable), reports transcriptomic differences between reactive and nonreactive astrocytes after cortical injury. The Introduction describes a stab-wound model and comparison with neural stem cells, not reactive astrocytes across different disease models or CNS regions. The brain-tumor clause is attached to citation 71, not this source. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [69] Diaz-Castro, B., Gangwani, M. R., Yu, X., Coppola, G. & Khakh, B. S. Astrocyte molecular signatures in Huntington’s disease. Sci. Transl. Med. 11, eaaw8546 (2019). source
- cites [70] Itoh, N. et al. Cell-specific and region-specific transcriptomics in the multiple sclerosis model: Focus on astrocytes. Proc. Natl Acad. Sci. USA 115, E302–E309 (2018). source
The Results section, “Regional Differences in Astrocyte-Specific Gene Expression During EAE” (page unavailable), reports distinct astrocyte gene-expression patterns across CNS regions during EAE. This paper studies one disease model, so it does not itself establish differences between disease models. The brain-tumor clause is attached to citation 71, not this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [71] John Lin, C. C. et al. Identification of diverse astrocyte populations and their malignant analogs. Nat. Neurosci. 20, 396–405 (2017). source
The Results section on malignant glioma reports distinct expression-profile correlations between astrocyte subpopulations and glioblastoma subtypes, and the Discussion describes molecularly distinct populations emerging during tumor progression. This supports the brain-tumor portion attached to this citation, but the paper does not establish that reactive astrocytes adopt those states; it studies astrocyte subpopulations and their malignant glioma analogs. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationManipulation of reactive astrocytes has resulted in improved outcomes, worse outcomes, and no change in mouse models of AD and MS.
“For example, the manipulation of reactive astrocytes has resulted in improved outcomes38,42,43, worse35 outcomes, and no change44 in mouse models of AD and MS40,45,46.”
Quote in the paperSubstantial claim4 of 5 sources checked- cites [38] Furman, J. L. et al. Targeting astrocytes ameliorates neurologic changes in a mouse model of Alzheimer’s disease. J. Neurosci. 32, 16129–16140 (2012). source
- cites [42] Ceyzériat, K. et al. Modulation of astrocyte reactivity improves functional deficits in mouse models of Alzheimer’s disease. Acta Neuropathol. Commun. 6, 104 (2018). source
- cites [43] Reichenbach, N. et al. Inhibition of Stat3-mediated astrogliosis ameliorates pathology in an Alzheimer’s disease model. EMBO Mol. Med. 11, e9665 (2019). source
- cites [35] Kraft, A. W. et al. Attenuating astrocyte activation accelerates plaque pathogenesis in APP/PS1 mice. FASEB J. 27, 187–198 (2013). source
- cites [44] Kamphuis, W. et al. GFAP and vimentin deficiency alters gene expression in astrocytes and microglia in wild-type mice and changes the transcriptional response of reactive glia in mouse model for Alzheimer’s disease. Glia 63, 1036–1056 (2015). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn the study of AD transgenic and wild-type mice, homeostatic astrocytes were predominant in healthy mice, whereas disease-associated astrocytes were unique to AD mice.
“In this study, ‘homeostatic astrocytes’ were predominant in healthy mice, whereas ‘disease-associated astrocytes’ were unique to AD mice.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [78] Habib, N. et al. Disease-associated astrocytes in Alzheimer’s disease and aging. Nat. Neurosci. 23, 701–706 (2020). source
The paper reports a homeostatic Gfap-low state in wild-type mice and a disease-associated astrocyte state observed only in AD mice in its initial comparison (Abstract; no page given). But its age-series analysis also finds DAA-like cells in older wild-type mice, so the unqualified claim that they were unique to AD mice overstates the finding. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationFunctions lost or altered in reactive astrocytes include neurotransmitter and ion buffering in mouse HD models, communication via gap junctions in the sclerotic hippocampus of patients with epilepsy, phagocytic clearance of dystrophic neurites, and metabolic coupling by glycolysis-derived d-serine and lactate in mouse AD models.
“Functions lost or altered in reactive astrocytes include neurotransmitter and ion buffering in mouse HD models58, communication via gap junctions in the sclerotic hippocampus of patients with epilepsy59, phagocytic clearance of dystrophic neurites60, and metabolic coupling by glycolysis-derived d-serine61 and lactate62 in mouse AD models.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [58] Tong, X. et al. Astrocyte Kir4.1 ion channel deficits contribute to neuronal dysfunction in Huntington’s disease model mice. Nat. Neurosci. 17, 694–703 (2014). Demonstration with targeted molecular manipulations that loss of astrocyte homeostatic functions contributes to HD pathogenesis. source
The Discussion reports reduced GLT-1 and Kir4.1 expression and impaired extracellular potassium maintenance in HD mouse models, supporting altered neurotransmitter and ion buffering. But it says these early functional changes occurred without astrogliosis; the Results likewise found little or no striatal astrogliosis at symptomatic ages. This source therefore does not support describing the affected astrocytes as reactive. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [59] Bedner, P. et al. Astrocyte uncoupling as a cause of human temporal lobe epilepsy. Brain 138, 1208–1222 (2015). source
- cites [60] Gomez-Arboledas, A. et al. Phagocytic clearance of presynaptic dystrophies by reactive astrocytes in Alzheimer’s disease. Glia 66, 637–653 (2018). source
May combine two claims.
PremisecitationhiPSC-derived astrocytes are amenable to study responses to viral infection and to specific stimuli.
“hiPSC-derived astrocytes are also amenable to study responses to viral infection83 and to specific stimuli84.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [83] Ledur, P. F. et al. Zika virus infection leads to mitochondrial failure, oxidative stress and DNA damage in human iPSC-derived astrocytes. Sci. Rep. 10, 1218 (2020). source
- cites [84] Perriot, S. et al. Human induced pluripotent stem cell-derived astrocytes are differentially activated by multiple sclerosis-associated cytokines. Stem Cell Reports 11, 1199–1210 (2018). source
May combine two claims.
PremisecitationStudies in rodents document region-dependent and often contradictory changes in aging astrocytes, such as an increase in cellular volume and overlap of astrocyte processes, but also atrophy, increase in GFAP content, or even a reduction in the number of GFAP+ and GS+ astrocytes.
“Studies in rodents document region-dependent and often contradictory changes in aging astrocytes, such as an increase in cellular volume and overlap of astrocyte processes, but also atrophy, increase in GFAP content, or even a reduction in the number of GFAP+ and GS+ astrocytes87–89.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [87] Rodríguez, J. J. et al. Complex and region-specific changes in astroglial markers in the aging brain. Neurobiol. Aging 35, 15–23 (2014). source
- cites [88] Cerbai, F. et al. The neuron-astrocyte-microglia triad in normal brain ageing and in a model of neuroinflammation in the rat hippocampus. PLoS One 7, e45250 (2012). source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [89] O’Callaghan, J. P. & Miller, D. B. The concentration of glial fibrillary acidic protein increases with age in the mouse and rat brain. Neurobiol. Aging 12, 171–174 (1991). source
May combine two claims.
PremisecitationAstrocytes generated from hiPSC derived from fibroblasts of patients with CNS diseases show pathological phenotypes, including dysregulation of lipid metabolism, alteration in extracellular vesicles, reduced autophagy, or altered STAT3 signaling.
“Interestingly, astrocytes generated from hiPSC derived from fibroblasts obtained from patients with CNS diseases (usually with a genetic mutation causative of disease or a risk polymorphism) show pathological phenotypes, including dysregulation of lipid metabolism11, alteration in the contents of the extracellular vesicles released by astrocytes80, reduced autophagy81, or altered STAT3 signaling82”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [11] Lin, Y. T. et al. APOE4 causes widespread molecular and cellular alterations associated with Alzheimer’s disease phenotypes in human iPSC-derived brain cell types. Neuron 98, 1141–1154.e7 (2018). Technically improved generation of hiPSC-derived astrocytes demonstrates that astrocytes harboring a genetic risk factor for AD are diseased astrocytes that may further exacerbate ongoing pathology. source
- cites [80] Varcianna, A. et al. Micro-RNAs secreted through astrocyte-derived extracellular vesicles cause neuronal network degeneration in C9orf72 ALS. EBioMedicine 40, 626–635 (2019). source
The Results section (“MicroRNAs regulating axonal maintenance are selectively dysregulated in C9 patient ADEVs”; page unavailable) reports altered miRNA cargo in extracellular vesicles released by C9orf72-ALS patient astrocytes, supporting the point attached to this citation. However, the Materials and methods section (“Conversion of skin fibroblasts to induced neural progenitor cells”; page unavailable) describes direct conversion of patient fibroblasts to neural progenitor cells and then astrocytes, not generation through hiPSCs. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [81] di Domenico, A. et al. Patient-specific iPSC-derived astrocytes contribute to non-cell-autonomous neurodegeneration in Parkinson’s disease. Stem Cell Reports 12, 213–229 (2019). source
May combine two claims.
PremisecitationAstrocyte Ca2+ dynamics and network responses become aberrant in mouse models of HD, AD, and ALS, possibly contributing to cognitive impairment and neuropathology.
“Astrocyte Ca2+ dynamics and network responses become aberrant in mouse models of HD53, AD54, and ALS55, possibly contributing to cognitive impairment and neuropathology43,53,56.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [53] Jiang, R., Diaz-Castro, B., Looger, L. L. & Khakh, B. S. Dysfunctional calcium and glutamate signaling in striatal astrocytes from Huntington’s disease model mice. J. Neurosci. 36, 3453–3470 (2016). source
The Significance Statement (p. 2) and Discussion (p. 16) support aberrant astrocyte Ca2+ signaling and altered circuit engagement in HD model mice. The paper suggests these changes may contribute to altered striatal function, but it does not establish a contribution to cognitive impairment; the Discussion (p. 17) says a mechanism linking the cellular findings to HD symptoms remains unresolved. The AD and ALS portions of the citing sentence have separate citations and are not attributed to this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [54] Kuchibhotla, K. V., Lattarulo, C. R., Hyman, B. T. & Bacskai, B. J. Synchronous hyperactivity and intercellular calcium waves in astrocytes in Alzheimer mice. Science 323, 1211–1215 (2009). source
- cites [55] Agarwal, A. et al. Transient opening of the mitochondrial permeability transition pore induces microdomain calcium transients in astrocyte processes. Neuron 93, 587–605.e7 (2017). Technically refined application of Ca2+ imaging approaches and machine learning unraveled dysregulation of Ca2+ responses in a mouse model of ALS. source
May combine two claims.
PremisecitationTranscriptomic studies suggested complex functional changes in reactive astrocytes, including novel regenerative functions, proliferation, neural stem cell potential, and loss of homeostatic functions.
“These studies also suggested complex functional changes in reactive astrocytes, including novel regenerative functions70, proliferation, and neural stem cell potential68, as well as loss of homeostatic functions66.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [70] Itoh, N. et al. Cell-specific and region-specific transcriptomics in the multiple sclerosis model: Focus on astrocytes. Proc. Natl Acad. Sci. USA 115, E302–E309 (2018). source
- cites [68] Sirko, S. et al. Astrocyte reactivity after brain injury-: The role of galectins 1 and 3. Glia 63, 2340–2361 (2015). source
- cites [66] Zamanian, J. L. et al. Genomic analysis of reactive astrogliosis. J. Neurosci. 32, 6391–6410 (2012). First evidence for molecular heterogeneity of reactive astrocytes using microarray-based transcriptomics of acutely isolated astrocytes from mouse models of ischemia and septic shock. Studies in virtually all models of CNS diseases followed. source
Citation 66 is attached to the claim that reactive astrocytes lose homeostatic functions. The Discussion describes extensive gene-expression changes and identifies transporters and channels involved in homeostasis, but does not say that homeostatic functions are lost. Searches for loss of homeostatic function and down-regulation of homeostatic genes found no passage establishing that point. (LLM, conf=0.73)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationActivation of STAT3-dependent transcription is beneficial in neonatal white matter injury, traumatic brain injury, spinal cord injury, and motor neuron injury, but detrimental in AD models.
“For example, activation of STAT3-dependent transcription is beneficial in neonatal white matter injury47, traumatic brain injury30, spinal cord injury48,49, and motor neuron injury50, but detrimental in AD models42,43.”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [47] Nobuta, H. et al. STAT3-mediated astrogliosis protects myelin development in neonatal brain injury. Ann. Neurol. 72, 750–765 (2012). source
- cites [30] Levine, J. et al. Traumatically injured astrocytes release a proteomic signature modulated by STAT3-dependent cell survival. Glia 64, 668–694 (2016). source
The Results section ('Acute STAT3 activation is important for cell integrity and apoptosis after astrocyte injury'; page unavailable) reports that STAT3-deficient astrocytes survived mechanical stretching less well than controls. The paper also reports protective effects after spinal cord injury, but the cited evidence does not establish a benefit of STAT3-dependent transcription in traumatic brain injury specifically. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [48] Anderson, M. A. et al. Astrocyte scar formation aids central nervous system axon regeneration. Nature 532, 195–200 (2016). source
- cites [49] Herrmann, J. E. et al. STAT3 is a critical regulator of astrogliosis and scar formation after spinal cord injury. J. Neurosci. 28, 7231–7243 (2008). source
May combine two claims.
InterpretationcitationResponses of reactive astrocytes may be maladaptive and result in malfunctional astrocytes, which, in addition to losing homeostatic functions, may gain detrimental functions, thus exacerbating ongoing pathology.
“Lastly, responses of reactive astrocytes may be maladaptive and result in malfunctional astrocytes, which, in addition to losing homeostatic functions, may also gain detrimental functions, thus exacerbating ongoing pathology6.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [6] Escartin, C., Guillemaud, O. & Carrillo-de Sauvage, M. A. Questions and (some) answers on reactive astrocytes. Glia 67, 2221–2247 (2019). source
The indexed passages are a HAL repository listing and site navigation, with no section or page of the paper’s substantive text. Searches for maladaptive responses, loss of homeostatic functions, detrimental functions, and worsening pathology returned no passage addressing the claim. (LLM, conf=0.72)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationhiPSC-derived astrocytes are rapidly becoming commonplace in basic research and therapy development.
“are rapidly becoming commonplace in basic research11,82 and therapy development109”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [11] Lin, Y. T. et al. APOE4 causes widespread molecular and cellular alterations associated with Alzheimer’s disease phenotypes in human iPSC-derived brain cell types. Neuron 98, 1141–1154.e7 (2018). Technically improved generation of hiPSC-derived astrocytes demonstrates that astrocytes harboring a genetic risk factor for AD are diseased astrocytes that may further exacerbate ongoing pathology. source
- cites [82] Tyzack, G. E. et al. A neuroprotective astrocyte state is induced by neuronal signal EphB1 but fails in ALS models. Nat. Commun. 8, 1164 (2017). source
The Methods describe experiments with hiPSC-derived astrocytes, and the Discussion says human iPSC models can help identify astrocytic targets for potential treatment. This supports their relevance to therapy development, but the paper does not establish that their use is rapidly becoming commonplace. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [109] Colombo, E. et al. Siponimod (BAF312) activates Nrf2 while hampering NFκB in human astrocytes, and protects from astrocyte-induced neurodegeneration. Front. Immunol. 11, 635 (2020). source
The Results section (“Generation and Characterization of Human iAstrocytes”; page unavailable) shows that the authors generated hiPSC-derived astrocytes as a research model, and the Methods show their use in testing siponimod. This provides an example relevant to basic research and therapy investigation, but the paper does not establish that such use is rapidly becoming commonplace. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationhiPSC-derived astrocytes can be generated with a fast protocol in 2D layers or integrated in 3D systems such as spheroids and organoids.
“hiPSC-derived astrocytes, which can be generated with a fast protocol in 2D layers104 or integrated in 3D systems such as spheroids and organoids105–108”
Quote in the paperNot a substantial claim5 of 5 sources checked- cites [104] Tchieu, J. et al. NFIA is a gliogenic switch enabling rapid derivation of functional human astrocytes from pluripotent stem cells. Nat. Biotechnol. 37, 267–275 (2019). source
- cites [105] Sloan, S. A. et al. Human astrocyte maturation captured in 3D cerebral cortical spheroids derived from pluripotent stem cells. Neuron 95, 779–790.e6 (2017). source
- cites [106] Lancaster, M. A. et al. Cerebral organoids model human brain development and microcephaly. Nature 501, 373–379 (2013). source
The Results section (‘Generation of cerebral organoids’; page unavailable) reports 3D cerebral organoids generated from human induced pluripotent stem cells. It does not report hiPSC-derived astrocytes being integrated into those organoids or into spheroids. The fast 2D protocol is attached to a different citation and is not assessed here. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [107] Quadrato, G. et al. Cell diversity and network dynamics in photosensitive human brain organoids. Nature 545, 48–53 (2017). source
- cites [108] Giandomenico, S. L. et al. Cerebral organoids at the air-liquid interface generate diverse nerve tracts with functional output. Nat. Neurosci. 22, 669–679 (2019). source
The Results section (‘Air-liquid interface culture of cerebral organoids leads to improved survival and maturation’; page unavailable) reports astrocytes in cerebral organoids, supporting the 3D-organoid part of the cited claim. The Methods section (‘Human pluripotent stem cell culture and genome editing’; page unavailable) specifies that the organoids were generated from human embryonic stem cells, not hiPSCs. The fast 2D protocol is attached to a different citation and is not assessed here. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationEmerging reactive-astrocyte biomarkers are either measured in blood or cerebrospinal fluid (for example, YKL-40) or used for brain imaging, such as MAO-B-based positron emission tomography (PET).
“Emerging reactive-astrocyte biomarkers are either measured in blood or cerebrospinal fluid (for example, YKL-40)115 or used for brain imaging, such as MAO-B-based positron emission tomography (PET)116”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [115] Craig-Schapiro, R. et al. YKL-40: a novel prognostic fluid biomarker for preclinical Alzheimer’s disease. Biol. Psychiatry 68, 903–912 (2010). source
- cites [116] Carter, S. F. et al. Evidence for astrocytosis in prodromal Alzheimer disease provided by 11C-deuterium-L-deprenyl: a multitracer PET paradigm combining 11C-Pittsburgh compound B and 18F-FDG. J. Nucl. Med. 53, 37–46 (2012). Non-invasive imaging of reactive astrocytes in human patients. source
May combine two claims.
PremisecitationOptogenetics and DREADDs are potential tools to manipulate reactive astrocytes or to restore their aberrant Ca2+ signaling observed in mouse models of neurodegenerative diseases.
“Optogenetics25 and designer receptors exclusively activated by designer drugs (DREADDs)25 are potential tools to manipulate reactive astrocytes or to restore their aberrant Ca2+ signaling observed in mouse models of neurodegenerative diseases53–55.”
Quote in the paperNot a substantial claim3 of 4 sources checked- cites [25] Yu, X., Nagai, J. & Khakh, B. S. Improved tools to study astrocytes. Nat. Rev. Neurosci. 21, 121–138 (2020). source
- cites [53] Jiang, R., Diaz-Castro, B., Looger, L. L. & Khakh, B. S. Dysfunctional calcium and glutamate signaling in striatal astrocytes from Huntington’s disease model mice. J. Neurosci. 36, 3453–3470 (2016). source
- cites [54] Kuchibhotla, K. V., Lattarulo, C. R., Hyman, B. T. & Bacskai, B. J. Synchronous hyperactivity and intercellular calcium waves in astrocytes in Alzheimer mice. Science 323, 1211–1215 (2009). source
- cites [55] Agarwal, A. et al. Transient opening of the mitochondrial permeability transition pore induces microdomain calcium transients in astrocyte processes. Neuron 93, 587–605.e7 (2017). Technically refined application of Ca2+ imaging approaches and machine learning unraveled dysregulation of Ca2+ responses in a mouse model of ALS. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDiversity within astrocyte populations from mouse models may be dissected by combining FACS and cell-surface markers identified in screens.
“Alternatively, the diversity within astrocyte populations from mouse models may be dissected out by combining fluorescence-activated cell sorting (FACS) and cell-surface markers identified in screens71.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [71] John Lin, C. C. et al. Identification of diverse astrocyte populations and their malignant analogs. Nat. Neurosci. 20, 396–405 (2017). source
May combine two claims.
Premisenone givenImmunohistochemical staining for cytosolic enzymes such as ALDH1L1, ALDOC, GS, and S100B allows visualization of the somata and proximal processes of astrocytes, although these markers fail to reveal small processes.
“Immunohistochemical staining for cytosolic enzymes such as ALDH1L1, ALDOC, GS, and S100B allow the visualization of the somata and proximal processes of astrocytes, although, like GFAP, these markers fail to reveal small processes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningIn the healthy mouse brain, hippocampal astrocytes have a higher GFAP content than cortical, thalamic, or striatal astrocytes, but this does not make hippocampal astrocytes more reactive.
“In the healthy mouse brain, hippocampal astrocytes have a higher GFAP content than cortical, thalamic, or striatal astrocytes; this, however, does not make hippocampal astrocytes more reactive.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThere are discrepancies between observed GFAP mRNA and protein levels, perhaps due to differential regulation of translation, post-translational modifications, protein half-life, and antibody epitope accessibility.
“Finally, there are discrepancies between observed GFAP mRNA and protein levels, perhaps due to differential regulation of translation, post-translational modifications, protein half-life, and antibody epitope accessibility.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenAstrocyte reactivity is secondary to an extrinsic signal, may evolve with time, and in many situations is reversible.
“By definition, astrocyte reactivity is secondary to an extrinsic signal, may evolve with time, and, in many situations, is reversible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenNumerous mixed scenarios of malfunctional and resilient astrocytes plausibly exist, with multidirectional transitions among them.
“Numerous mixed scenarios of malfunctional and resilient astrocytes plausibly exist, with multidirectional transitions among them.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningGFAP upregulation and hypertrophy are useful but insufficient markers of astrocyte reactivity that need to be complemented by additional markers.
“In summary, GFAP upregulation and hypertrophy are useful but insufficient markers of astrocyte reactivity that need to be complemented by additional markers (Table 1 and Box 1).”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenIsolation protocols may not always be optimal for astrocytes, resulting in low numbers of cells or nuclei being sequenced, and some highly relevant but weakly expressed transcripts may be overlooked, particularly in snRNAseq.
“Notably, isolation protocols may not always be optimal for astrocytes, resulting in low numbers of cells or nuclei being sequenced, and some highly relevant but weakly expressed transcripts, such as transcription factors and plasma-membrane receptors, may be overlooked, particularly in snRNAseq.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenGeneration of astrocytes from neural stem cells is inherently difficult, and derivation and culture conditions have not yet been standardized, leading to diversity of clone phenotypes.
“In addition, generation of astrocytes from neural stem cells is inherently difficult, and derivation and culture conditions have not yet been standardized, leading to diversity of clone phenotypes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningVague and binary terms such as neuroprotective or neurotoxic are best avoided in describing astrocyte phenotypes as they are too simplistic to be meaningful, unless supported by specific molecular mechanisms and direct causative experimental evidence.
“In addition, vague and binary terms such as ‘neuroprotective’ or ‘neurotoxic’ are best avoided in describing astrocyte phenotypes as they are too simplistic to be meaningful, unless they are suppor ted by specific molecular mechanisms and direct causative experi mental evidence.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAlthough astrocytes appear more resistant than neurons to degeneration and death, loss of primary and secondary astrocyte branches has been reported in mouse models of AD and ALS, and in patients with multiple sclerosis.
“In addition, although astrocytes appear to be more resistant than neurons to degeneration and death, loss of primary and secondary astrocyte branches has been reported in mouse models of AD27 and ALS18, and in patients with multiple sclerosis (MS)28.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [27] Olabarria, M., Noristani, H. N., Verkhratsky, A. & Rodríguez, J. J. Concomitant astroglial atrophy and astrogliosis in a triple transgenic animal model of Alzheimer’s disease. Glia 58, 831–838 (2010). source
- cites [18] Rossi, D. et al. Focal degeneration of astrocytes in amyotrophic lateral sclerosis. Cell Death Differ. 15, 1691–1700 (2008). source
- cites [28] Black, J. A., Newcombe, J. & Waxman, S. G. Astrocytes within multiple sclerosis lesions upregulate sodium channel Nav1.5. Brain 133, 835–846 (2010). source
May combine two claims.
InterpretationreasoningSTAT3-mediated transcriptional programs may contribute to malfunctional astrocyte states in AD models and to resilient states in other conditions.
“That is, STAT3-mediated transcriptional programs may contribute to malfunctional astrocyte states in AD models and to resilient states in other conditions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThe term homeostatic astrocytes implies the unproven assumption that other transcriptional astrocyte clusters are dys-homeostatic, while they may be successful homeostasis-preserving adaptations to disease.
“In addition, the term ‘homeostatic astrocytes’ implies the unproven assumption that other transcriptional astrocyte clusters are dys-homeostatic, while they may be successful homeostasis-preserving adaptations to disease.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationHealthy brain aging is not pathological and may be defined as an adaptive evolution of global cell physiology over time.
“Healthy brain aging is not pathological and may be defined as an adaptive evolution of global cell physiology over time85.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] Rodríguez-Arellano, J. J., Parpura, V., Zorec, R. & Verkhratsky, A. Astrocytes in physiological aging and Alzheimer’s disease. Neuroscience 323, 170–182 (2016). source
May combine two claims.
InterpretationreasoningNew names are needed to capture the variety of reactive astrocytes, but current knowledge does not yet allow the objective categorizing of reactive astrocytes.
“Arguably, new names are needed to capture the variety of reactive astrocytes, but current knowledge does not yet allow the objective categorizing of reactive astrocytes.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe morphological appearance of astrocytes does not correlate with functional phenotypes or with their impact on other cell types.
“An important conclusion drawn from these studies is that the morphological appearance of astrocytes does not correlate with functional phenotypes or with their impact on other cell types.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenExpression in full or in part of a predetermined correlative signature of molecular markers is not, on its own, sufficient to define a functional phenotype of reactive astrocyte.
“We stress that the expression in full or in part of a predetermined correlative signature of molecular markers is not, on its own, sufficient to define a functional phenotype of reactive astrocyte.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningMolecular signatures based on expression of genes or proteins need to be validated by assessing specific astrocyte functions, since post-transcriptional and post-translational events critically shape functional outcomes.
“Importantly, molecular signatures based on the expression of genes or proteins need to be validated by assessing specific astrocyte functions (Table 2), since post-transcriptional and post-translational events critically shape functional outcomes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenAcute metabolic damage with the mitochondrial toxin MPTP does not replicate chronic Parkinson's disease.
“Acute metabolic damage with the mitochondrial toxin MPTP does not replicate chronic Parkinson’s disease (PD), to cite another example of in vivo inappropriate modelling.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Astrocytes are essentially post-mitotic cells that rarely divide in healthy tissue.
“which are essentially post-mitotic cells that rarely divide in healthy tissue.”
The paper relies on this without support.
There is a scarcity of disease-modifying treatments for chronic diseases and acute injuries of the CNS.
“Given the scarcity of disease-modifying treatments for chronic diseases and acute injuries of the CNS”
The paper relies on this without support.
There are no therapies purposely designed against astrocyte-specific targets in clinical practice.
“there are no therapies purposely designed against astrocyte-specific targets in clinical practice”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AD neuropathological changes (ADNC) are accompanied by a dramatic loss of synapses and neurons, as well as prominent morphological and functional changes of glial cells, collectively termed reactive gliosis.
“These AD neuropathological changes (ADNC) are accompanied by a dramatic loss of synapses and neurons, as well as prominent morphological and functional changes of glial cells, collectively termed reactive gliosis1.”
From Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease (2024) · cites this paper as [1]
The paper’s “Morphology revisited” section describes changes in astrocyte branches in AD mouse models, and “From morphology to functional studies” describes altered reactive-astrocyte functions in AD models. Its discussion of gliosis also supports the general terminology. The cited passages do not establish the claimed dramatic loss of synapses and neurons accompanying AD neuropathological changes; pages are not available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredConsensus genes upregulated or downregulated in reactive astrocytes differ between control and Ts21 astrocytes (**** p < 0.0001, Wilcoxon Rank Sum test).
“( B and C ) Split gene expression violin plots of control (green) and Ts21 (purple) astrocytes for consensus genes upregulated (B) or downregulated (C) in reactive astrocytes (58) (**** p<0.0001, Wilcoxon Rank Sum test).”
From Molecular and cellular processes disrupted in the early postnatal Down syndrome prefrontal cortex (2026) · cites this paper as [58]
In “Transcriptomics and A1–A2 classification” (page unavailable), the source discusses reactive-astrocyte gene signatures and transcripts upregulated in some conditions. It does not identify the cited consensus sets of both upregulated and downregulated genes. The control–Ts21 comparison and Wilcoxon result are presented as the citing paper’s own figure analysis, not as findings attributed to this source. (LLM, conf=0.78)
Experimental — accuracy not yet measuredReactive astrocytes exhibit hypertrophic characteristics with thick and long processes and increased expression level of glial fibrillary acidic protein (GFAP).
“The reactive astrocytes exhibit hypertrophic characteristics with thick and long processes and increased expression level of glial fibrillary acidic protein (GFAP; Liddelow and Barres, 2017;Escartin et al., 2021).”
From Cell Adhesion Molecule Protocadherin-γC5 Ameliorates Aβ Plaque Pathogenesis by Modulating Astrocyte Function in Alzheimer's Disease (2025) · cites this paper as Escartin et al., 2021
The “GFAP as a marker” section says GFAP upregulation is prominent in many reactive astrocytes, but not all. “Morphology revisited” describes elongation and process extension in pathological contexts, yet cautions that GFAP staining can exaggerate hypertrophy and that cytoskeletal changes do not necessarily mean true hypertrophy. The source therefore does not support presenting thick, long processes and increased GFAP as characteristics of reactive astrocytes generally. Page numbers are unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredMicroglial activation or inflammatory insults induce astrocytes into a reactive state, which can have both neuroprotective and neurotoxic effects.
“Microglial activation or inflammatory insults induce astrocytes into a reactive state, which can have both neuroprotective and neurotoxic effects [17, 183–185].”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [183]
Studies evaluating astrocyte state upon NLRP3 inflammasome activation based on the binary "A1/A2" astrocyte description do not fully capture the diversity of astrocyte states and phenotypes in different contexts.
“However, these studies evaluated astrocyte state upon NLRP3 inflammasome activation based on the binary “A1/A2” astrocyte description, which does not fully capture the diversity of astrocyte states and phenotypes in different contexts [183].”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [183]
Reactive astrogliosis may contribute to neurodegeneration through both gains of toxic functions and loss of normal functions.
“the emerging view from experimental data is that reactive astrogliosis may contribute to neurodegeneration through both gains of toxic functions and loss of normal functions1.”
From Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease (2024) · cites this paper as [1]
Under pathological conditions, astrocytes undergo reactive astrogliosis characterized by morphological and functional changes such as hypertrophy, process elongation, up-regulation of GFAP, or dynamic relocalization of proteins such as aquaporin-4.
“Under pathological conditions, they undergo reactive astrogliosis, characterized by morphological and functional changes such as hypertrophy, process elongation, up-regulation of glial fibrillary acidic protein (GFAP) (2–5), or dynamic relocalization of proteins such as aquaporin-4 (6, 7).”
From Varicose projection astrocytes: Conserved reactive cells in brain pathology (2026) · cites this paper as [5]
Reactive astrocytes are not monolithic but exist on a spectrum influenced by context, region, and stimuli.
“Emerging evidence suggests that reactive astrocytes are not monolithic but exist on a spectrum influenced by context, region, and stimuli.”
From Varicose projection astrocytes: Conserved reactive cells in brain pathology (2026) · cites this paper as [5]
GFAP and morphology alone are not considered sufficient to qualify astrocytes' reactivity.
“Even if GFAP-positive astrocytes are suggestive of a reactive phenotype, GFAP and morphology alone are not considered sufficient to qualify astrocytes’ reactivity [57].”
From Proliferating Astrocytes in Primary Culture Do Not Depend upon Mitochondrial Respiratory Complex I Activity or Oxidative Phosphorylation (2023) · cites this paper as [57]
An increased number of GFAP+ cells is not a definitive indicator of reactive astrocytes or altered functions.
“It was recommended to be cautious in interpreting the increased number of GFAP+ cells as an increase in reactive astrocytes, as GFAP content alone is not a definitive indicator of their reactivity or altered functions.257”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [257]
Reactive astrocytes undergo morphological, molecular, and functional changes in response to injury or CNS diseases and may adopt multiple heterogeneous states depending on context.
“Reactive astrocytes undergo morphological, molecular, and functional changes in response to injury or CNS diseases; they may adopt multiple, heterogeneous states depending on context (Escartin et al., 2021).”
From What is a cell type and how to define it? (2022) · cites this paper as Escartin et al., 2021
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Impaired Autophagy in APOE4 Astrocytes
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Microglia states and nomenclature: A field at its crossroads
Paolicelli, R. C., Sierra, A., Stevens, B., Tremblay, M.-E., Aguzzi, A., Ajami, B., Amit, I., Audinat, E., Bechmann, I., Bennett, M., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.020 · Cited by 1,973 · see citing works
Self-citationMicrobiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
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Transcriptomic diversity of cell types across the adult human brain
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Spinal cord injury: molecular mechanisms and therapeutic interventions
Hu, X., Xu, W., Ren, Y., Wang, Z., He, X., Huang, R., Ma, B., Zhao, J., Zhu, R., & Cheng, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01477-6 · Cited by 823 · see citing works
“However, the function of these marker genes are not well known,(137) and no experimental evidence proved the A1/A2 astrocytes marker genes exert either toxic or protective functions.(144) Thus, the meaningful definition of reactive astrocytes subtypes should not solely based on the molecular signatures.”
BackgroundFunction and therapeutic value of astrocytes in neurological diseases
Lee, H.-G., Wheeler, M. A., & Quintana, F. J. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00390-x · Cited by 662 · see citing works
Self-citationBenedet, A. L., Milà-Alomà, M., Vrillon, A., Ashton, N. J., Pascoal, T. A., Lussier, F., Karikari, T. K., Hourregue, C., Cognat, E., Dumurgier, J., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.3671 · Cited by 638 · see citing works
Self-citationNeuroinflammation in Alzheimer disease
Heneka, M. T., van der Flier, W. M., Jessen, F., Hoozemanns, J., Thal, D. R., Boche, D., Brosseron, F., Teunissen, C., Zetterberg, H., Jacobs, A. H., et al. (2025) · Nature Reviews Immunology · doi:10.1038/s41577-024-01104-7 · Cited by 638 · see citing works
“The response of astrocytes to neurodegenerative diseases like AD has been linked to inflammatory responses of microglia and peripheral immune cells, pathological proteins like Aβ and tau, barrier leakage, and many other pathological indications 315 .”
Self-citationMolecular basis of astrocyte diversity and morphology across the CNS in health and disease
Endo, F., Kasai, A., Soto, J. S., Yu, X., Qu, Z., Hashimoto, H., Gradinaru, V., Kawaguchi, R., & Khakh, B. S. (2022) · Science · doi:10.1126/science.adc9020 · Cited by 560 · see citing works
Self-citationWhat is a cell type and how to define it?
Zeng, H. (2022) · Cell · doi:10.1016/j.cell.2022.06.031 · Cited by 439 · see citing works
Astrocytes in human central nervous system diseases: a frontier for new therapies
Verkhratsky, A., Butt, A., Li, B., Illes, P., Zorec, R., Semyanov, A., Tang, Y., & Sofroniew, M. V. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01628-9 · Cited by 428 · see citing works
“Since that time, the terms reactive astrogliosis and astroglial reactivity (etymology: glia and osis in Greek means ‘glial process’; in Latin the suffix -osis acquired the additional meaning of ‘disease’ and so astrogliosis may also carry a connotation of ‘glial disorder’) have become widely and interchangeably used t…”
BackgroundInfluentialSelf-citationAstrocyte contribution to dysfunction, risk and progression in neurodegenerative disorders
Brandebura, A. N., Paumier, A., Onur, T. S., & Allen, N. J. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00641-1 · Cited by 427 · see citing works
Self-citationRoles of neuropathology-associated reactive astrocytes: a systematic review
Lawrence, J. M., Schardien, K., Wigdahl, B., & Nonnemacher, M. R. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01526-9 · Cited by 433 · see citing works
“The use of A1/A2 nomenclature is not universally accepted, as such a stringent dichotomy fails to accurately represent the diversity within each subset of cells [30].”
BackgroundNeuropathology of Alzheimer's Disease
Trejo‐Lopez, J. A., Yachnis, A. T., & Prokop, S. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01146-y · Cited by 398 · see citing works
Regulation of axonal regeneration after mammalian spinal cord injury
Zheng, B., & Tuszynski, M. H. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00562-y · Cited by 328 · see citing works
Self-citationMi, Y., Qi, G., Vitali, F., Shang, Y., Raikes, A. C., Wang, T., Jin, Y., Brinton, R. D., Gu, H., & Yin, F. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00756-4 · Cited by 343 · see citing works
Monteiro, A. R., Barbosa, D. J., Remião, F., & Silva, R. V. D. S. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115522 · Cited by 358 · see citing works
Morphological, cellular and molecular basis of brain infection in COVID-19 patients
Crunfli, F., Carregari, V. C., Veras, F. P., Vendramini, P. H., Valença, A. G. F., Antunes, A. S. L. M., Brandão-Teles, C., da Silva Zuccoli, G., Reis-de-Oliveira, G., Silva-Costa, L. C., et al. (2020) · doi:10.1101/2020.10.09.20207464 · Cited by 331 · see citing works
Beyond the GFAP-Astrocyte Protein Markers in the Brain
Jurga, A. M., Paleczna, M., Kadluczka, J., & Kuter, K. Z. (2021) · Biomolecules · doi:10.3390/biom11091361 · Cited by 319 · see citing works
“Unfortunately, current knowledge does not allow proposing definitive categorization in this matter yet [97,101].”
BackgroundBellaver, B., Povala, G., Ferreira, P. C. L., Ferrari-Souza, J. P., Leffa, D. T., Lussier, F. Z., Benedet, A. L., Ashton, N. J., Triana-Baltzer, G., Kolb, H. C., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02380-x · Cited by 319 · see citing works
“…mechanism underlying our findings that Aβ-mediated astrocyte signaling (for example, through cytokines, caspases and reactive oxygen species) induces tau pathology 3,13,29 , which is corroborated by studies showing that the suppression of this signaling is able to halt tau phosphorylation 17 .”
Self-citationA1/A2 astrocytes in central nervous system injuries and diseases: Angels or devils?
Fan, Y., & Huo, J. (2021) · Neurochemistry International · doi:10.1016/j.neuint.2021.105080 · Cited by 310 · see citing works
Kopp, K. O., Glotfelty, E. J., Li, Y., & Greig, N. H. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106550 · Cited by 298 · see citing works
Lipid droplets in the nervous system
Ralhan, I., Chang, C.-L., Lippincott-Schwartz, J., & Ioannou, M. S. (2021) · Journal of Cell Biology · doi:10.1083/jcb.202102136 · Cited by 281 · see citing works
Astrocytes in the initiation and progression of epilepsy
Vezzani, A., Ravizza, T., Bedner, P., Aronica, E., Steinhäuser, C., & Boison, D. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00727-5 · Cited by 272 · see citing works
“ATP also triggers microglial activation through activation of P2X7 and/or P2Y1 receptors (7), leading to release of cytokines that activate astrocytic receptors (8) that, in turn, trigger further ATP release (9).”
BackgroundSelf-citationAPOE mediated neuroinflammation and neurodegeneration in Alzheimer’s disease
Parhizkar, S., & Holtzman, D. M. (2022) · Seminars in Immunology · doi:10.1016/j.smim.2022.101594 · Cited by 255 · see citing works
Andersen, J. V., Schousboe, A., & Verkhratsky, A. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102331 · Cited by 259 · see citing works
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Cellular and pathological functions of tau
Bravo, C. P., Naguib, S. A., & Gan, L. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00753-9 · Cited by 245 · see citing works
“Reactive astrocytes are also linked to tau toxicity 324–326 , but their connection to tauopathy is not clear.”
Astrocyte Endfeet in Brain Function and Pathology: Open Questions
Díaz-Castro, B., Robel, S., & Mishra, A. (2023) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-091922-031205 · Cited by 238 · see citing works
Self-citationNeuroinflammation: An astrocyte perspective
Lee, H., Lee, J.-H., Flausino, L. E., & Quintana, F. J. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.adi7828 · Cited by 241 · see citing works
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Self-citationJiwaji, Z., Tiwari, S. S., Avilés-Reyes, R. X., Hooley, M., Hampton, D., Torvell, M., Johnson, D. A., McQueen, J., Baxter, P., Sabari-Sankar, K., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27702-w · Cited by 223 · see citing works
Microglial NLRP3 inflammasome activates neurotoxic astrocytes in depression-like mice
Li, S., Fang, Y., Zhang, Y., Song, M., Zhang, X., Ding, X., Yao, H., Chen, M., Sun, Y., Ding, J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111532 · Cited by 225 · see citing works
The Glymphatic System (En)during Inflammation
Mogensen, F. L., Delle, C., & Nedergaard, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22147491 · Cited by 214 · see citing works
Lipid-accumulated reactive astrocytes promote disease progression in epilepsy
Chen, Z.-P., Wang, S., Zhao, X., Fang, W., Wang, Z., Ye, H., Wang, M.-J., Ke, L., Huang, T., Lv, P., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01288-6 · Cited by 214 · see citing works
The “Neuro-Glial-Vascular” Unit: The Role of Glia in Neurovascular Unit Formation and Dysfunction
Kugler, E., Greenwood, J., & MacDonald, R. B. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.732820 · Cited by 215 · see citing works
Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology
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ResultTranscriptional and epigenetic decoding of the microglial aging process
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“Aβ1–42 MCM induced mRNA expression of Lcn2, Osmr, Serpina3n, Ggta1, and C3—genes known to be associated with reactive astrocytes [10, 12, 24] (Fig.”
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Self-citationReactive astrocytes: The nexus of pathological and clinical hallmarks of Alzheimer’s disease
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“Astrocytes, when associated with senile plaques, become reactive with morphological hypertrophy manifested by thicker processes and increased expression of the intermediate filament proteins glial fibrillary acidic protein (GFAP), vimentin, nestin and synemin [74].”
BackgroundSelf-citationDivergent transcriptional regulation of astrocyte reactivity across disorders
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“Thus, reactive astrogliosis can 435 have a pro-inflammatory or an anti-inflammatory 436 outcome, depending on the signaling pathways that 437 prevail [40, 56].”
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“When astrocytes are in the vicinity of senile plaques, they become reactive and display an increase in size and elevated levels of intermediate filament proteins like glial fibrillary acidic protein (GFAP), vimentin, synemin, and nestin [77].”
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“In pathological specimens of humans and mice, upregulation of GFAP is strongly associated with reactive astrocyte remodelling 164 .”
BackgroundMicroglia-mediated neuroinflammation and neuroplasticity after stroke
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“For more nuanced and precise descriptions of astrocyte nomenclature, please consult the discussion of Escartin and colleagues (Escartin et al., 2021).”
BackgroundPET Imaging of Neuroinflammation in Alzheimer’s Disease
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The role of glial cells in multiple sclerosis disease progression
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“Adaptations of astrocyte gene expression translate into reversible remodeling of physical, morphological, and metabolic features, hereby altering astrocyte function (Escartin et al., 2021).”
BackgroundMolecular cascades and cell type–specific signatures in ASD revealed by single-cell genomics
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“This change was illustrated by up-regulation of cell type – specific responses to inflammatory and interferon signaling and a parallel decrease in expression of homeostatic genes ( 21 , 26 ).”
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“The phenotypes that describe reactive astrocytes are diverse and dependent on the pathological context (Escartin et al., 2021; Liddelow & Barres, 2017).”
BackgroundThe Glutamate/ GABA ‐Glutamine Cycle: Insights, Updates, and Advances
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“Astrocytes react strongly to disease or injury, which leads to transient adaptations, including remodeling of physical, morphological, and metabolic functions (Escartin et al. 2021; Sofroniew 2020; Xiong et al. 2022).”
Astrocytic urea cycle detoxifies Aβ-derived ammonia while impairing memory in Alzheimer’s disease
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Self-citationAstrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease
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Self-citationAstrocyte biomarker signatures of amyloid-β and tau pathologies in Alzheimer’s disease
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“CSF levels of glial fibrillary acidic protein (GFAP) and chitinase-3-like protein 1 (YKL-40), biomarkers of astrocyte reactivity [8, 11], are consistently elevated in the dementia phase of AD [12], and in some other brain disorders such as multiple sclerosis [13, 14].”
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“It will be important in future studies to utilize methods such as single cell RNA sequencing of astrocytes, to more fully explore the apoE isoform and sex-dependent changes in reactive astrogliosis that are present in different disease conditions, including in the presence of amyloid [76].”
BackgroundAstrocyte metabolism and signaling pathways in the CNS
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“Astrocytes have been found to undergo various changes ranging from hypertrophy, atrophy, or cell death in response to injury and neurological disorders (Verkhratsky et al., 2017b; Escartin et al., 2021).”
BackgroundSelf-citationAstrocytes and Brain-Derived Neurotrophic Factor (BDNF).
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Inflammatory aspects of Alzheimer’s disease
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“…of the disease (assessed by the expression of GFAP and neurotrophic factor S100β) where astrocytes can be found in the plaques vicinity, with a marked upregulation of intermediate filament proteins, such as synemin, vimentin, nestin [64, 224], and adopting different pathological phenotypes [113].”
A molecular switch for neuroprotective astrocyte reactivity
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“It has been suggested that reactive astrocytes diversify beyond these two simplified states 6 but this has not yet been addressed experimentally.”
Reactive astrogliosis: A friend or foe in the pathogenesis of Alzheimer’s disease
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“…defined programmes involving changes in transcriptional regulation, as well as biochemical, morphological, metabolic, and physiological remodelling, which ultimately result in gain of new function(s) or loss or up- regulation of homeostatic ones, in response to pathology’ (Escartin et al., 2021).”
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“However, these simple binary divisions do not reflect the heterogeneity and plasticity of glial cells or the continuity of functional states [49, 50].”
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Self-citationUnravelling cell type-specific responses to Parkinson’s Disease at single cell resolution
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“Further investigation in this area will help address the related question of whether the molecular profile of astrocytes in older organisms relates to reactive astrogliosis in response to pathology, or from cellular senescence due to physiological aging (Escartin et al., 2021).”
BackgroundInfluentialTGF-β as a Key Modulator of Astrocyte Reactivity: Disease Relevance and Therapeutic Implications
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“In addition to their physiological roles, astrocytes play important roles in response to disease and injury [1,2,5,6,32].”
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Astrocyte–neuron subproteomes and obsessive–compulsive disorder mechanisms
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Self-citationCellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology
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Functional immune cell–astrocyte interactions
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Astrocytic autophagy plasticity modulates Aβ clearance and cognitive function in Alzheimer’s disease
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“The hurdle models consisted of two components: (1) a logistic regression model for predicting no CMB versus having at least one CMB, which constitutes the hurdle; and (2) a truncated negative binomial”
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Neuroinflammation in Huntington’s Disease: A Starring Role for Astrocyte and Microglia
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“Astrocyte reactivity occurs in response to a variety of pathological conditions and involves morphological changes since they become hypertrophic, as well as transcriptional changes, such as upregulation of GFAP expression [104].”
Castro, B. D., Bernstein, A. M., Coppola, G., Sofroniew, M. V., & Khakh, B. S. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109508 · Cited by 115 · see citing works
“Additional studies are needed to better understand the nuances of proposed protective and detrimental roles of reactive astrocytes in pathology (Escartin et al., 2021).”
InfluentialSelf-citationThe Many Faces of Astrocytes in Alzheimer's Disease
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“However recent advances in single-cell seq techniques have revealed that there are diverse astrocyte subtypes contrary to the two-dimensional A1/A2 classification (19), and at least six astrocytic transcriptomic clusters were described in the hip-pocampi of 7- mo-old 5xFAD mice (20).”
O’Shea, T. M., Ao, Y., Wang, S., Ren, Y., Cheng, A. L., Kawaguchi, R., Shi, Z., Swarup, V., & Sofroniew, M. V. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01684-6 · Cited by 123 · see citing works
“Astrocytes respond to all forms of CNS injury and disease with molecular, structural and functional changes commonly referred to as astrocyte reactivity 2,6,15 .”
BackgroundSelf-citationMicroglia-Astrocyte Communication in Alzheimer’s Disease
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“Furthermore, the authors argue for the promotion of reactive astrocyte research with the evaluation of multiple molecular and functional parameters in conjunction with multivariate statistical methods and the determination of the impact on pathological hallmarks [131].”
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- Authors
- Escartin, C., Galea, E., Lakatos, A., O’Callaghan, J. P., Petzold, G. C., Serrano-Pozo, A., Steinhäuser, C., Volterra, A., Carmignoto, G., Agarwal, A., Allen, N. J., Araque, A., Barbeito, L., Barzilai, A., Bergles, D. E., Bonvento, G., Butt, A. M., Chen, W.-T., Cohen-Salmon, M., Cunningham, C., Deneen, B., De Strooper, B., Díaz-Castro, B., Farina, C., Freeman, M., Gallo, V., Goldman, J. E., Goldman, S. A., Götz, M., Gutiérrez, A., Haydon, P. G., Heiland, D. H., Hol, E. M., Holt, M. G., Iino, M., Kastanenka, K. V., Kettenmann, H., Khakh, B. S., Koizumi, S., Lee, C. J., Liddelow, S. A., MacVicar, B. A., Magistretti, P., Messing, A., Mishra, A., Molofsky, A. V., Murai, K. K., Norris, C. M., Okada, S., Oliet, S. H. R., Oliveira, J. F., Panatier, A., Parpura, V., Pekna, M., Pekny, M., Pellerin, L., Perea, G., Pérez-Nievas, B. G., Pfrieger, F. W., Poskanzer, K. E., Quintana, F. J., Ransohoff, R. M., Riquelme-Perez, M., Robel, S., Rose, C. R., Rothstein, J. D., Rouach, N., Rowitch, D. H., Semyanov, A., Sirko, S., Sontheimer, H., Swanson, R. A., Vitorica, J., Wanner, I.-B., Wood, L. B., Wu, J., Zheng, B., Zimmer, E. R., Zorec, R., Sofroniew, M. V., & Verkhratsky, A.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- University of Bonn (DE)
- University of Lausanne (CH)
- University of Padua (IT)
- Heidelberg University (DE)
- Salk Institute for Biological Studies (US)
- University of Minnesota (US)
- Institut Pasteur de Montevideo (UY)
- Tel Aviv University (IL)
- Johns Hopkins University (US)
- University of Portsmouth (GB)
- VIB-KU Leuven Center for Brain & Disease Research (BE)
- Trinity College Dublin (IE)
- Baylor College of Medicine (US)
- IRCCS Ospedale San Raffaele (IT)
- Oregon Health & Science University (US)
- Corresponding author
- Escartin, Carole
- Galea, Elena
- ORCID
- Escartin, Carole
- Galea, Elena
- Lakatos, András
- Petzold, Gabor C.
- Serrano-Pozo, Alberto
- Steinhäuser, Christian
- Volterra, Andrea
- Carmignoto, Giorgio
- Agarwal, Amit
- Allen, Nicola J.
- Araque, Alfonso
- Barbeito, Luis
- Barzilai, Ari
- Bergles, Dwight E.
- Bonvento, Gilles
- Butt, Arthur M.
- Chen, Wei-Ting
- Cunningham, Colm
- Deneen, Benjamin
- Farina, Cinthia
- Freeman, Marc
- Gallo, Vittorio
- Goldman, Steven A.
- Götz, Magdalena
- Gutiérrez, Antonia
- Haydon, Philip G.
- Heiland, Dieter H.
- Hol, Elly M.
- Holt, Matthew G.
- Koizumi, Schuichi
- MacVicar, Brian A.
- Mishra, Anusha
- Molofsky, Anna V.
- Okada, Seiji
- Oliveira, João F.
- Panatier, Aude
- Pekna, Marcela
- Perea, Gertrudis
- Pfrieger, Frank W.
- Poskanzer, Kira E.
- Rose, Christine R.
- Rothstein, Jeffrey D.
- Rouach, Nathalie
- Rowitch, David H.
- Semyanov, Alexey
- Sirko, Swetlana
- Sontheimer, Harald
- Swanson, Raymond A.
- Zorec, Robert
- Sofroniew, Michael V.
- Verkhratsky, Alexei
- Venue
- Nature Neuroscience
- Published
- 2021-02-15
- Volume
- 24
- Issue
- 3
- Pages
- 312-325
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC8007081
- OpenAlex
- W3132240972
- Cited by
- 2,533
- References
- 151
- Citations by year
- 2026: 372 · 2025: 467 · 2024: 477 · 2023: 439 · 2022: 419 · 2021: 209 · 2020: 3
- FWCI
- 139.71
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- UCL Discovery (University College London) (acceptedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion, other-oa)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
- PubMed Central (submittedVersion)
- HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- IRIS (submittedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- DZNE Pub (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion)
- Repositorio Institucional de la Universidad de Málaga (University of Málaga) (submittedVersion, cc-by)
- SERVAL (Université de Lausanne) (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Pathology and Forensic Medicine › Spinal Cord Injury Research
- Keywords
- reactive astrocytes, central nervous system injury, central nervous system disorders, astrocyte heterogeneity, consensus definition
- MeSH terms
- Aging, Animals, Astrocytes, Brain, Brain Diseases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-27.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-27.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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