CoChat
Sign Up
Cited by 14

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Inducible deletion of DGAT1 and 2 from microglia exacerbates neurodegeneration and endolysosomal lipid accumulation in male PS19 mice

Tabor, G. Travis, Litvinchuk, Alexandra, Chen, Yun, Allison, Austin, Sun, Elizabeth W., van Lengerich, Bettina, Davis, Sonnet S., West, Elizabeth, Schlachetzki, Johannes C.M., Zeng, Carisa, Hu, Hao, Lin, Peter B., Sharma, Prabal, Chen, Xiaoying, Parhizkar, Samira, Song, Sihui, Bao, Xin, Senthil, Lakshita, Iyer, Abhirami K., You, Shih Feng, Serrano, Javier Remolina, Manis, Melissa, Franke, Emily, Cashikar, Anil G., Yuede, Carla M., Suh, Jung H., Karch, Celeste M., Folick, Andrew, Koliwad, Suneil K., Farese, Robert V., Walther, Tobias, Huang, Eric J., Artyomov, Maxim, Glass, Christopher K., Di Paolo, Gilbert, Ulrich, Jason D., Holtzman, David M.·2026·Cell Reports
DOI 10.1016/j.celrep.2025.116841PMC PMC12951297
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.celrep.2025.116841

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • In tauopathy, disruption of lipid droplet formation in microglia increases accumulation of endosomal/lysosomal lipids and exacerbates neurodegeneration in the PS19 mouse model.

    “In the context of tauopathy, disruption of lipid droplet formation in microglia was found to increase the accumulation of endosomal/lysosomal lipids and exacerbate neurodegeneration in the PS19 mouse model of tau-mediated neurodegeneration [131].”

    From ApoE lipoproteins in the central nervous system under homeostasis and role in Alzheimer’s disease and related disorders (2026) · cites this paper as [131]

    The Introduction reports that microglial DGAT knockout increased myeloid endolysosomal accumulations and exacerbated neurodegeneration in 9.5-month-old male PS19 mice, but not female PS19 mice. The claim captures the findings but omits that sex-specific limitation. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 44

  1. Shi, 2019, Microglia drive APOE-dependent neurodegeneration in a tauopathy mouse model, J. Exp. Med., 216, 2546, 10.1084/jem.20190980 · DOI · Paper page
  2. Karch, 2015, Alzheimer’s disease risk genes and mechanisms of disease pathogenesis, Biol. Psychiatry, 77, 43, 10.1016/j.biopsych.2014.05.006 · DOI · Paper page
  3. Stelzmann, 1995, An english translation of alzheimer’s 1907 paper, “über eine eigenartige erkankung der hirnrinde.”, Clin. Anat., 8, 429, 10.1002/ca.980080612 · DOI · Paper page
  4. Olzmann, 2019, Dynamics and functions of lipid droplets, Nat. Rev. Mol. Cell Biol., 20, 137, 10.1038/s41580-018-0085-z · DOI · Paper page
  5. Walther, 2012, Lipid droplets and cellular lipid metabolism, Annu. Rev. Biochem., 81, 687, 10.1146/annurev-biochem-061009-102430 · DOI
  6. Chitraju, 2017, Triglyceride Synthesis by DGAT1 Protects Adipocytes from Lipid-Induced ER Stress during Lipolysis, Cell Metab., 26, 407, 10.1016/j.cmet.2017.07.012 · DOI
  7. Chitraju, 2019, The triglyceride synthesis enzymes DGAT1 and DGAT2 have distinct and overlapping functions in adipocytes, J. Lipid Res., 60, 1112, 10.1194/jlr.M093112 · DOI · Paper page
  8. Burns, 2020, Differential accumulation of storage bodies with aging defines discrete subsets of microglia in the healthy brain, eLife, 9, 10.7554/eLife.57495 · DOI
  9. Bosch, 2020, Mammalian lipid droplets are innate immune hubs integrating cell metabolism and host defense, Science, 370, 10.1126/science.aay8085 · DOI · Paper page
  10. Nguyen, 2017, DGAT1-Dependent Lipid Droplet Biogenesis Protects Mitochondrial Function during Starvation-Induced Autophagy, Dev. Cell, 42, 9, 10.1016/j.devcel.2017.06.003 · DOI · Paper page
  11. Gouna, 2021, TREM2-dependent lipid droplet biogenesis in phagocytes is required for remyelination, J. Exp. Med., 218, 10.1084/jem.20210227 · DOI · Paper page
  12. Bailey, 2015, Antioxidant Role for Lipid Droplets in a Stem Cell Niche of Drosophila, Cell, 163, 340, 10.1016/j.cell.2015.09.020 · DOI
  13. Goodman, 2024, Tau is required for glial lipid droplet formation and resistance to neuronal oxidative stress, Nat. Neurosci., 27, 1918, 10.1038/s41593-024-01740-1 · DOI
  14. Koliwad, 2010, DGAT1-dependent triacylglycerol storage by macrophages protects mice from diet-induced insulin resistance and inflammation, J. Clin. Investig., 120, 756, 10.1172/JCI36066 · DOI
  15. Chitraju, 2023, Mice lacking triglyceride synthesis enzymes in adipose tissue are resistant to diet-induced obesity, eLife, 12, 10.7554/eLife.88049 · DOI
  16. Castoldi, 2020, Triacylglycerol synthesis enhances macrophage inflammatory function, Nat. Commun., 11, 4107, 10.1038/s41467-020-17881-3 · DOI
  17. Yanamandra, 2013, Anti-tau antibodies that block tau aggregate seeding in vitro markedly decrease pathology and improve cognition in vivo, Neuron, 80, 402, 10.1016/j.neuron.2013.07.046 · DOI · Paper page
  18. Gratuze, 2023, TREM2-independent microgliosis promotes tau-mediated neurodegeneration in the presence of ApoE4, Neuron, 111, 202, 10.1016/j.neuron.2022.10.022 · DOI · Paper page
  19. Zhou, 2020, Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer’s disease, Nat. Med., 26, 131, 10.1038/s41591-019-0695-9 · DOI · Paper page
  20. Pesämaa, 2023, A microglial activity state biomarker panel differentiates FTD-granulin and Alzheimer’s disease patients from controls, Mol. Neurodegener., 18, 70, 10.1186/s13024-023-00657-w · DOI
  21. Huang, 2020, Network analysis of the progranulin-deficient mouse brain proteome reveals pathogenic mechanisms shared in human frontotemporal dementia caused by GRN mutations, Acta Neuropathol. Commun., 8, 163, 10.1186/s40478-020-01037-x · DOI
  22. Chen, 2023, Microglia-mediated T cell Infiltration Drives Neurodegeneration in Tauopathy, Nature, 615, 668, 10.1038/s41586-023-05788-0 · DOI · Paper page
  23. Cantuti-Castelvetri, 2018, Defective cholesterol clearance limits remyelination in the aged central nervous system, Science, 359, 684, 10.1126/science.aan4183 · DOI · Paper page
  24. Zhang, 2024, LXR agonism for CNS diseases: promises and challenges, J. Neuroinflammation, 21, 97, 10.1186/s12974-024-03056-0 · DOI
  25. Ullery-Ricewick, 2009, Triglyceride alters lysosomal cholesterol ester metabolism in cholesteryl ester-laden macrophage foam cells[S], J. Lipid Res., 50, 2014, 10.1194/jlr.M800659-JLR200 · DOI
  26. Fazio, 2001, Increased atherosclerosis in LDL receptor–null mice lacking ACAT1 in macrophages, J. Clin. Investig., 107, 163, 10.1172/JCI10310 · DOI
  27. Accad, 2000, Massive xanthomatosis and altered composition of atherosclerotic lesions in hyperlipidemic mice lacking acyl CoA:cholesterol acyltransferase 1, J. Clin. Investig., 105, 711, 10.1172/JCI9021 · DOI
  28. Wu, 2021, Microglial lysosome dysfunction contributes to white matter pathology and TDP-43 proteinopathy in GRN-associated FTD, Cell Rep., 36, 10.1016/j.celrep.2021.109581 · DOI · Paper page
  29. Logan, 2021, Rescue of a lysosomal storage disorder caused by Grn loss of function with a brain penetrant progranulin biologic, Cell, 184, 4651, 10.1016/j.cell.2021.08.002 · DOI · Paper page
  30. Guo, 2016, Rescuing macrophage normal function in spinal cord injury with embryonic stem cell conditioned media, Mol. Brain, 9, 48, 10.1186/s13041-016-0233-3 · DOI
  31. McLelland, 2023, Identification of an alternative triglyceride biosynthesis pathway, Nature, 621, 171, 10.1038/s41586-023-06497-4 · DOI
  32. Harris, 2011, DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes, J. Lipid Res., 52, 657, 10.1194/jlr.M013003 · DOI
  33. Iba, 2013, Synthetic Tau Fibrils Mediate Transmission of Neurofibrillary Tangles in a Transgenic Mouse Model of Alzheimer’s-Like Tauopathy, J. Neurosci., 33, 1024, 10.1523/JNEUROSCI.2642-12.2013 · DOI · Paper page
  34. Ohsaki, 2010, A pitfall in using BODIPY dyes to label lipid droplets for fluorescence microscopy, Histochem. Cell Biol., 133, 477, 10.1007/s00418-010-0678-x · DOI
  35. Petrelli, 2024, An optimized method to visualize lipid droplets in brain tissue demonstrates their substantial accumulation in aged brains, bioRxiv
  36. Parkhurst, 2013, Microglia Promote Learning-Dependent Synapse Formation through Brain-Derived Neurotrophic Factor, Cell, 155, 1596, 10.1016/j.cell.2013.11.030 · DOI · Paper page
  37. Deacon, 2006, Assessing nest building in mice, Nat. Protoc., 1, 1117, 10.1038/nprot.2006.170 · DOI
  38. Wozniak, 2013, Motivational Disturbances and Effects of L-dopa Administration in Neurofibromatosis-1 Model Mice, PLoS One, 8, 10.1371/journal.pone.0066024 · DOI
  39. Yuede, 2010, Behavioral Consequences of NMDA Antagonist-Induced Neuroapoptosis in the Infant Mouse Brain, PLoS One, 5, 10.1371/journal.pone.0011374 · DOI
  40. Khuchua, 2003, Deletion of the N-terminus of murine map2 by gene targeting disrupts hippocampal ca1 neuron architecture and alters contextual memory, Neuroscience, 119, 101, 10.1016/S0306-4522(03)00094-0 · DOI
  41. Rolfe, 2017, In Vitro Phagocytosis of Myelin Debris by Bone Marrow-Derived Macrophages, JoVE J., 10.3791/56322 · DOI
  42. Hao, 2024, Dictionary learning for integrative, multimodal and scalable single-cell analysis, Nat. Biotechnol., 42, 293, 10.1038/s41587-023-01767-y · DOI · Paper page
  43. Korsunsky, 2019, Fast, sensitive and accurate integration of single-cell data with Harmony, Nat. Methods, 16, 1289, 10.1038/s41592-019-0619-0 · DOI · Paper page
  44. Korotkevich, 2021, Fast gene set enrichment analysis, bioRxiv

Cited by

Sorted by citations

Metadata

Authors
Tabor, G. T., Litvinchuk, A., Chen, Y., Allison, A., Sun, E. W., van Lengerich, B., Davis, S. S., West, E., Schlachetzki, J. C. M., Zeng, C., Hu, H., Lin, P. B., Sharma, P., Chen, X., Parhizkar, S., Song, S., Bao, X., Senthil, L., Iyer, A. K., You, S. F., Serrano, J. R., Manis, M., Franke, E., Cashikar, A. G., Yuede, C. M., Suh, J. H., Karch, C. M., Folick, A., Koliwad, S. K., Farese, R. V., Walther, T., Huang, E. J., Artyomov, M., Glass, C. K., Di Paolo, G., Ulrich, J. D., & Holtzman, D. M.
Venue
Cell Reports
Publisher
Elsevier BV
Published
2026-01
Volume
45
Issue
1
Pages
116841
ISSN
2211-1247
DOI
10.1016/j.celrep.2025.116841
PMC
PMC12951297
Cited by
14
References
23
Language
en
Licence
Funders
  • Office of Research Infrastructure Programs (OD030233)
  • Freedom Together Foundation (S10 RR027552)
  • BrightFocus Foundation
  • St. Louis Children's Hospital (CDI-CORE-2019-813, CDI-CORE-2015-505)
  • Foundation for Barnes-Jewish Hospital (4642, 3770)
  • Children's Discovery Institute
  • University of Washington
  • National Institute on Aging (U19AG069701, AG083977, F30AG081100)
  • Center for Cellular Imaging, Washington University
  • School of Medicine, Washington University in St. Louis
  • National Institutes of Health

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.

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 ›

Are you an author, or do you see a problem with this page? Request a review