A spatio-temporal brain miRNA expression atlas identifies sex-independent age-related microglial driven miR-155-5p increase
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Abstract
An in-depth understanding of the molecular processes composing aging is crucial to develop therapeutic approaches that decrease aging as a key risk factor for cognitive decline. Herein, we present a spatio-temporal brain atlas (15 different regions) of microRNA expression across the mouse lifespan (7 time points) and two aging interventions. MicroRNAs are promising therapeutic targets, as they silence genes by complementary base-pair binding of messenger RNAs and mediate aging speed. We first established sex- and brain-region-specific microRNA expression patterns in young adult samples. Then we focused on sex-dependent and independent brain-region-specific microRNA expression changes during aging. We identified three sex-independent brain aging microRNAs (miR-146a-5p, miR-155-5p, and miR-5100). For miR-155-5p, we showed that these expression changes are driven by aging microglia and target mTOR signaling pathway components and other cellular communication pathways. In this work, we identify strong sex-brain-region-specific aging microRNAs and microglial miR-155-5p as a promising therapeutic target.
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TL;DR
This paper presents a spatio-temporal atlas of microRNA expression across 15 mouse brain regions and seven ages, identifying sex-independent aging miRNAs including miR-155-5p, miR-146a-5p, and miR-5100. It further shows that age-related miR-155-5p increase is likely driven by microglia and is associated with altered mTOR and cell-communication pathway targets.
Key findings
- From 844 bulk-sequenced samples across 15 brain regions and ages 3, 12, 15, 18, 21, 26, and 28 months, 828 samples (98%) passed QC and 1,174 miRNAs were retained; brain region explained 54% of miRNA variance, while age explained 0.6% and sex 0.2%.
- Three sex-independent cross-region aging miRNAs increased with age: miR-155-5p in eight regions, miR-146a-5p in six regions, and miR-5100 in ten regions.
- In FACS-sorted microglia from young (3 months) and aged (21 months) male mice, 59 miRNAs were upregulated and 70 downregulated; miR-155-5p showed the highest fold change among upregulated miRNAs (fold change 3.58, raw p = 0.002, adjusted p = 0.659).
- Aging interventions showed little miRNA effect: acute dietary restriction had only miR-451a significantly changed across regions, and young mouse plasma injection showed no significant expression changes in any region. Human ROSMAP data showed no overlap of age-deregulated miRNAs in the same direction with mouse motor cortex.
Methods
- Male and female C57BL/6JN mice were used for bulk small RNA sequencing of 15 brain regions across seven ages; microglia were isolated by FACS from young and aged male mice, and additional cohorts received acute dietary restriction or young mouse plasma injection.
- Analyses included Spearman rank correlations with age, differential expression using two-sided Welch’s t-tests with Benjamini-Hochberg adjustment, PVCA, UMAP, c-means trajectory clustering, GSEA via miEAA 2023, and correlation of miR-155-5p with mRNA targets from matched bulk mRNA data.
- Human validation used ROSMAP miRNA data binned by age of death and compared with mouse motor cortex as the closest matching region.
Limitations
- Stated: restricted transferability to humans; technical challenges for cell-type-specific miRNA analysis because common single-cell methods cannot assess mature miRNAs due to lack of polyA tails; FACS sorting excluded CD45+ cells, thereby excluding a subset of resident microglia whose CD45 can increase with age; uncertainty about microglial states in aDR and YMP; limited access to aged mice, especially females, so microglia data were limited to male samples; validation in other mouse strains would strengthen hypotheses.
- Evident from the text: the human ROSMAP comparison found no overlap of age-deregulated miRNAs in the same direction with mouse motor cortex, and the authors note the human time course may be too short at the end of lifespan to capture trends.
- Evident from the text: the microglial miR-155-5p increase did not reach significance after multiple-testing adjustment (adjusted p = 0.659), although the raw p-value was 0.002.
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Claims the paper makes
6 of 15 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
- Interpretationreasoning
Using NGS methods combined with a greater sample size of each sex enabled identification of more expressed miRNAs than previous micro-array-based studies with up to 13 regions in male mice.
“Previously, only micro-array-based studies were performed with up to 13 regions in male mice18,19. Using NGS methods combined with a greater sample size of each sex enabled us to identify more expressed miRNAs.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [18] Juhila, J. et al. MicroRNA expression profiling reveals miRNA families regulating specific biological pathways in mouse frontal cortex and hippocampus. PLoS One 6, e21495 (2011). source
Queued — the background check reaches it, usually within a day.
- cites [19] Bak, M. et al. MicroRNA expression in the adult mouse central nervous system. RNA 14, 432–444 (2008). source
- Findingown data
There is a strong overlap of expressed core miRNAs between our young/aged microglia and data from Walsh et al.
“We compared the miRNA expression of our young/aged microglia to data from Walsh et al.40 and found a strong overlap of expressed core miRNAs (Fig. 5b).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [40] Walsh, A. D. et al. Mouse microglia express unique miRNA-mRNA networks to facilitate age-specific functions in the developing central nervous system. Commun. Biol. 6, 555 (2023). source
- Interpretationcitation
MiR-155-5p and miR-146a-5p expression is likely driven by microglia, as both showed an over 10-fold enrichment in microglia compared to brainstem.
“MiR-155-5p and miR-146a-5p expression is likely driven by microglia, as both showed an over 10-fold enrichment in microglia compared to brainstem38,39 (Fig. 5a, Supplementary Fig. 9a).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [38] Hoye, M. L. et al. MicroRNA profiling reveals marker of motor neuron disease in ALS models. J. Neurosci. 37, 5574–5586 (2017). source
The Significance Statement (page unavailable) describes miR-155 as glial-enriched, and the Discussion says the authors identified microglia-enriched miRNAs. The passages in our copy do not identify miR-146a-5p as microglia-enriched or report over 10-fold enrichment for either miRNA compared with brainstem. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [39] Pomper, N., Liu, Y., Hoye, M. L., Dougherty, J. D. & Miller, T. M. CNS microRNA profiles: a database for cell type enriched microRNA expression across the mouse central nervous system. Sci. Rep. 10, 4921 (2020). source
The Results section’s Table 1 counts miRNAs enriched in brainstem microglia but does not identify miR-155-5p or miR-146a-5p or give their fold enrichment. Searches for both miRNAs and the claimed over-10-fold comparison found no passage in our copy that verifies it; the paper’s reference to a miR-155 study does not supply those measurements. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Findingown data
MiR-146a-5p was observed as a cross-region age-related miRNA in six brain regions: corpus callosum, mot. cortex, caudate putamen, olfactory bulb, choroid plexus and thalamus.
“miR-146a-5p in six (corpus callosum, mot. cortex, caudate putamen, olfactory bulb, choroid plexus and thalamus)”
Quote in the paperNot a substantial claim - Findingown data
In choroid plexus in males, more than 280 miRNAs were upregulated at 15 months and all later time points.
“However, more than 280 miRNAs were upregulated at 15 months and all later time points in males in this region (Fig. 3d).”
Quote in the paperNot a substantial claim
- Findingown data
miR-155-5p expression increased to different extents in all regions.
“We observed an increase of miR-155-5p to different extents in all regions.”
Quote in the paperSubstantial claim - Findingown data
A PVCA explained 36% of the observed variance with brain region identity for tRNAs.
“A PVCA explained 36% of the observed variance with brain region identity (Fig. 1e).”
Quote in the paperNot a substantial claim - Findingown data
miR-195b was sex-unspecific in cerebellum.
“miR-195b in cerebellum”
Quote in the paperNot a substantial claim - Findingown data
Twenty-six targets were significantly anti-correlated with miR-155-5p during aging in multiple regions.
“Twenty-six targets were significantly anti-correlated during aging in multiple regions (Fig. 5i).”
Quote in the paperSubstantial claim - Findingown data
Deregulation was observed for all brain regions and age comparisons to 3 months for all expression levels.
“We observed deregulation for all brain regions and age comparisons to 3 months for all expression levels (Supplementary Fig. 4g).”
Quote in the paperNot a substantial claim - Findingown data
For corpus callosum, caudate putamen, ent. cortex, hippocampus anterior, choroid plexus, SVZ and thalamus a significant anti-correlation can be observed for multiple genes like PDPK1, YWHAZ and CYCS.
“For corpus callosum, caudate putamen, ent. cortex, hippocampus anterior, choroid plexus, SVZ and thalamus a significantly anti-correlation can be observed for multiple genes like PDPK1, YWHAZ and CYCS.”
Quote in the paperSubstantial claim - Findingown data
Cluster 28 contained miR-203 trajectories originating from three different regions (cerebellum, mot. cortex, choroid plexus).
“Cluster 28 contained miR-203 trajectories originating from three different regions (cerebellum, mot. cortex, choroid plexus).”
Quote in the paperNot a substantial claim - Findingown data
The center lines of the clusters containing the miRNA trajectories for mot. cortex and cerebellum (28) increased towards 26 months.
“The center lines of the clusters containing the miRNA trajectories for mot. cortex and cerebellum (28) increased towards 26 months.”
Quote in the paperNot a substantial claim - Findingown data
Comparing deregulated miRNAs within each region and age revealed a persisting aging signature in the combined analysis.
“Comparing deregulated miRNAs within each region and age, revealed a persisting aging signature in the combined analysis (Fig. 4a, Supplementary Data 8).”
Quote in the paperSubstantial claim - Findingown data
41 common miRNAs were associated with aging in both the choroid plexus and pons.
“However, 41 common miRNAs were associated with aging in both these regions.”
Quote in the paperNot a substantial claim - Findingown data
Six of the 80 functionally validated target genes showed a significant anti-correlation with mmu-miR-155-5p for at least one brain region, including ARNTL (ADAM23, PCSK5, REPS2, NRCAM and NSG2).
“Six of the 80 target genes showed a significant anti-correlation with mmu-miR-155-5p for at least one brain region, including the previously shown ARNTL (ADAM23, PCSK5, REPS2, NRCAM and NSG2, Supplementary Fig. 10b).”
Quote in the paperNot a substantial claim - Findingown data
Three miRNAs in males and four miRNAs in females were significantly positively correlated with age in more than three brain regions.
“Three miRNAs in males and four miRNAs in females were significantly positively correlated with age in more than three brain regions (Fig. 3c).”
Quote in the paperNot a substantial claim - Findingown data
The five regions where age variation dominated were subventricular zone, olfactory bulb, vis. cortex, medulla and choroid plexus.
“These regions, namely, subventricular zone, olfactory bulb, vis. cortex and medulla and choroid plexus (18.5% of variation explainable by age) were especially interesting for the question whether age-related miRNA changes in the brain occur region specifically.”
Quote in the paperSubstantial claim - Findingown data
In males, MEF2A protein was less expressed in 18 months aged mice as compared to 8 months old mice.
“In males, MEF2A protein was less expressed in 18 months aged mice as compared to 8 months old mice (Supplementary Fig. 10d).”
Quote in the paperSubstantial claim - Findingown data
In males, a strict anatomical organization of miRNA expression was observed: olfactory bulb anterior had a distinct profile differing from central brain regions and posterior regions.
“In males, a strict anatomical organization of miRNA expression was observed as the olfactory bulb anterior had a distinct profile differing from the central brain regions (corpus callosum, subventricular zone, hypothalamus, thalamus, choroid plexus) and the posterior regions, medulla, pons, and cerebellum.”
Quote in the paperNot a substantial claim - Findingown data
miR-5100 trajectories were found within cluster 41 from five different brain regions.
“We found miR-5100 trajectories within the cluster 41 from five different brain regions (Fig. 4e).”
Quote in the paperNot a substantial claim - Findingown data
In medulla, thirteen sex-unspecific miRNAs (e.g., miR-10a/b) were observed.
“in medulla, we observed thirteen sex-unspecific miRNAs (e.g., miR-10a/b)”
Quote in the paperNot a substantial claim - Findingown data
In thalamus, only seven miRNAs were significantly upregulated between male and female.
“In the thalamus, however, only seven miRNAs were significantly upregulated between male and female.”
Quote in the paperNot a substantial claim - Findingown data
Though strong deregulation trends were observed for many miRNAs in different regions, few were significantly deregulated.
“Though we observed strong deregulation trends for many miRNAs in different regions, few were significantly deregulated (Supplementary Fig. 3c).”
Quote in the paperNot a substantial claim - Findingown data
MiR-9-3p and eleven other miRNAs were downregulated in each comparison between 12 months to 28 months.
“MiR-9-3p and eleven other miRNAs were downregulated in each comparison between 12 months to 28 months.”
Quote in the paperNot a substantial claim - Findingown data
In medulla, miR-155-5p isomiRs showed a distinct expression pattern.
“We discovered that in medulla miR-155-5p isomiRs showed a distinct expression pattern (Fig. 5h).”
Quote in the paperNot a substantial claim - Findingown data
Seven age-related miRNAs overlap with cholino-miRNAs in 7 brain regions.
“We observed an overlap of seven age-related miRNA with the cholino-miRNAs in 7 brain regions (Supplementary Fig. 4h).”
Quote in the paperNot a substantial claim - Findingown data
No significant expression changes were observed in any region after YMP.
“No significant expression changes were observed in any region after YMP (Supplementary Fig. 9j).”
Quote in the paperNot a substantial claim - Findingown data
MiR-5100 was observed as a cross-region age-related miRNA in ten brain regions: corpus callosum, cerebellum, ent. cortex, medulla, olfactory bulb, choroid plexus, pons, SVZ, thalamus and hippocampus anterior.
“MiR-5100 as a cross-region age-related miRNA was observed in ten brain regions (corpus callosum, cerebellum, ent. cortex, medulla, olfactory bulb, choroid plexus, pons, SVZ, thalamus and hippocampus anterior)”
Quote in the paperNot a substantial claim - Findingown data
The SVZ and choroid plexus share 31 common aging miRNAs.
“The SVZ and choroid plexus share 31 common aging miRNAs.”
Quote in the paperNot a substantial claim - Findingown data
Seventeen of these were commonly deregulated in all three comparisons (including miR-155-5p and miR-146a-5p).
“Seventeen of these were commonly deregulated in all three comparisons (including miR-155-5p and miR-146a-5p).”
Quote in the paperSubstantial claim - Findingown data
Out of the ten clusters harboring more than four times a single miRNA trajectory from different regions, only three were deemed region-specific.
“Out of the ten clusters harboring more than four times a single miRNA trajectory from different regions, only three were deemed region-specific.”
Quote in the paperNot a substantial claim - Findingown data
Across all regions, exclusively miR-451a showed a significant expression change during aDR.
“Across all regions, exclusively miR-451a showed a significant expression change during aDR (Supplementary Fig. 9h).”
Quote in the paperNot a substantial claim - Findingown data
A UMAP visualization of features showed a distinct separation of several brain regions, e.g. olfactory bulb and cerebellum.
“A subsequent UMAP visualization of the features (miRNAs, lncRNAs, piRNAs, rRNAs, scaRNAs, snoRNAs, snRNAs, and tRNAs) showed a distinct separation of several brain regions, e.g. olfactory bulb and cerebellum (Supplementary Fig. 1c).”
Quote in the paperNot a substantial claim - Findingown data
Across all brain regions, significant correlations with age were observed for 13.79% of miRNAs in males and 37.87% in females.
“Across all brain regions, we observed significant correlations with age for 13.79% of the miRNAs in males and 37.87% in females (Supplementary Fig. 3b).”
Quote in the paperNot a substantial claim - Findingown data
We identified unique aging signatures in choroid plexus, subventricular zone, and pons.
“We furthermore identified unique aging signatures in e.g., choroid plexus, subventricular zone, and pons as interesting targets to study region-specifically.”
Quote in the paperNot a substantial claim - Findingown data
No region-specific miRNA also exhibited strong age-related expression changes in any region in males.
“Even though there is a high number of significant age-related miRNAs, we found no region-specific miRNA that also exhibited strong age-related expression changes in any region in males.”
Quote in the paperSubstantial claim - Findingown data
For male samples, the strong unique signature of the olfactory bulb persisted.
“For the male samples, the strong unique signature of the olfactory bulb persisted.”
Quote in the paperNot a substantial claim - Findingown data
For motor cortex and caudate putamen, variation share of age was under 12%.
“Whereas the variation share of age was under 12% for both regions.”
Quote in the paperNot a substantial claim - Findingown data
miRNAs showed clear UMAP separation by brain region as driving factor over sex or age.
“Also visible in the clear UMAP separation for the 1,174 miRNAs by brain region as driving factor over sex or age (Fig. 1f, g, Supplementary Fig. 2c–e).”
Quote in the paperSubstantial claim - Findingown data
Out of these 280 miRNAs, 204 miRNAs were consistently upregulated in all consecutive time points from 15 to 28 months.
“Out of these 280 miRNAs, 204 miRNAs were consistently upregulated in all consecutive time points from 15 to 28 months.”
Quote in the paperNot a substantial claim - Findingown data
In choroid plexus, 45, 122, and 179 significantly upregulated miRNAs were determined at 15 months, 18 months, and 21 months, respectively.
“In choroid plexus, we determined 45, 122, and 179 significantly upregulated miRNAs at 15 months, 18 months, and 21 months, respectively (Supplementary Fig. 4e).”
Quote in the paperNot a substantial claim - Findingown data
No neighboring significant age-related miRNA was found on the opposite strand.
“No neighboring significant age-related miRNA was found on the opposite strand.”
Quote in the paperSubstantial claim - Findingown data
Within most brain regions like cerebellum, motor cortex, hippocampus anterior and olfactory bulb, the composition of expressed counts for all RNA classes remained constant over all ages.
“Within most brain regions like cerebellum, motor cortex, hippocampus anterior and olfactory bulb, the composition of expressed counts for all RNA classes remained constant over all ages (Supplementary Fig. 1g).”
Quote in the paperNot a substantial claim - Findingown data
In the motor cortex and caudate putamen, we determined a strong sex-driven expression signature persistent over the entire lifespan.
“In the motor cortex and caudate putamen, we determined a strong sex-driven expression signature persistent over the entire lifespan.”
Quote in the paperNot a substantial claim - Findingown data
Cluster 7, 35 and 47 revealed three distinct pons-specific aging miRNA trajectories dominated by a peak at 15 months and an overall decrease.
“Cluster 7, 35 and 47 revealed three distinct pons-specific aging miRNA trajectories dominated by a peak at 15 months and an overall decrease (Fig. 4d).”
Quote in the paperNot a substantial claim - Findingown data
MiR-155-5p was observed as a cross-region age-related miRNA in eight brain regions: corpus callosum, mot. cortex, caudate putamen, medulla, choroid plexus, SVZ, thalamus and vis. cortex.
“miR-155-5p in eight (corpus callosum, mot. cortex, caudate putamen, medulla, choroid plexus, SVZ, thalamus and vis. cortex)”
Quote in the paperSubstantial claim - Findingown data
Three choroid plexus region-specific clusters (cluster 2, 11 and 28) showed an overall increasing expression.
“In contrast, we observed an overall increasing expression for three choroid plexus region-specific clusters (cluster 2, 11 and 28).”
Quote in the paperNot a substantial claim - Findingown data
Among 15 distinctly expressed miRNAs in the olfactory bulb were miR-200a-5p, miR-200a-3p, miR-200b-5p, miR-200b-3p, and miR-200c-5p.
“Among the 15 distinctly expressed miRNAs were miR-200a-5p, miR-200a-3p, miR-200b-5p, miR-200b-3p, and miR-200c-5p.”
Quote in the paperNot a substantial claim - Findingown data
Regions with a low share of variation explained by sex, such as olfactory bulb, exhibited no significantly differentially expressed miRNAs.
“In contrast, regions with a low share of variation explained by sex, such as olfactory bulb exhibited no significantly differentially expressed miRNAs.”
Quote in the paperNot a substantial claim - Findingown data
miR-146a-5p expression trajectories show an overall increase for most brain regions.
“we explored miR-146a-5p expression trajectories for all brain regions which show an overall increase for most brain regions (Supplementary Fig. 8b).”
Quote in the paperNot a substantial claim - Findingown data
The number of miRNAs downregulated in pons varied from 46 miRNAs (15 months) to 397 miRNAs (18 months).
“The number of miRNAs downregulated in pons varied from 46 miRNAs (15 months) to 397 miRNAs (18 months) (Fig. 4a).”
Quote in the paperNot a substantial claim - Findingown data
Choroid plexus had 18.5% of variation explainable by age.
“choroid plexus (18.5% of variation explainable by age)”
Quote in the paperNot a substantial claim - Findingown data
More miRNAs were significantly downregulated in unique regions in males than in females.
“More miRNAs were significantly downregulated in unique regions in males than in females (Supplementary Fig. 4a).”
Quote in the paperNot a substantial claim - Findingown data
Within the upregulated miRNAs, miR-155-5p exhibited the highest fold change (fold change: 3.58, raw p-value: 0.002 and adjusted p-value: 0.659).
“Within the upregulated miRNAs, miR-155-5p exhibited the highest fold change (fold change: 3.58, raw p-value: 0.002 and adjusted p-value: 0.659).”
Quote in the paperSubstantial claim - Findingown data
MiR-146a-5p trajectory center lines show an overall increase in age.
“MiR-146a-5p trajectory center lines show an overall increase in age (Supplementary Fig. 8a).”
Quote in the paperNot a substantial claim - Findingown data
tRNA UMAP results failed to provide a distinct separation into brain regions, sex or age.
“Motivated by these high feature numbers exhibiting a correlation with age, we visualized tRNA UMAP results, which failed to provide a distinct separation into brain regions, sex or age (Fig. 1d, Supplementary Fig. 2a and 2b).”
Quote in the paperNot a substantial claim - Findingown data
Twenty clusters exhibited a strong region-specific signature as more than 30% of the trajectories in the cluster originate from the same brain region.
“Twenty clusters exhibited a strong region-specific signature as more than 30% of the trajectories in the cluster originate from the same brain region (Fig. 4c).”
Quote in the paperNot a substantial claim - Findingown data
miR-653-5p was sex-unspecific in hypothalamus.
“miR-653-5p in hypothalamus.”
Quote in the paperNot a substantial claim - Findingown data
For motor cortex and caudate putamen, variation introduced by sex was 20.2% and 20.3%, respectively.
“Region-wise analysis of variation shares revealed that for two regions - mot. cortex and caudate putamen - the variation introduced by the variable sex was 20.2% and 20.3%, respectively (Fig. 2c).”
Quote in the paperNot a substantial claim - Findingown data
MiR-155-5p trajectories were observed in different clusters sharing an increasing center line.
“MiR-155-5p trajectories were also observed in different clusters sharing an increasing center line (Fig. 4g).”
Quote in the paperNot a substantial claim - Findingown data
During aging, miR-9-5p expression remained mostly stable in medulla and motor cortex in both sexes.
“During aging, the miR-9-5p expression remained mostly stable in medulla and motor cortex in both sexes (Fig. 3a, Supplementary Fig. 3a).”
Quote in the paperNot a substantial claim - Findingown data
miRNAs exhibit a larger share of variance (54%) explained by brain region.
“In contrast, miRNAs exhibit a larger share of variance (54%) explained by brain region.”
Quote in the paperSubstantial claim - Findingown data
We found strong female region-specific patterns in medulla and pons that did not overlap with male expression patterns.
“Furthermore, we found strong female region-specific patterns in medulla and pons that did not overlap with male expression patterns.”
Quote in the paperSubstantial claim - Findingown data
There is no significant enrichment of age-correlated miRNAs on the same or opposite strand.
“Our data indicate no significant enrichment on the same or the opposite strand.”
Quote in the paperNot a substantial claim - Findingown data
No overlap of age-deregulated miRNAs in the same direction was found between human ROSMAP and mouse age-related miRNAs in motor cortex.
“We found no overlap of age-deregulated miRNAs in the same direction.”
Quote in the paperNot a substantial claim - Findingown data
Clusters 28 and 41 are dominated by a steady expression increase within all miRNA trajectories.
“Especially, clusters 28 and 41 are dominated by a steady expression increase within all miRNA trajectories (Fig. 4e).”
Quote in the paperNot a substantial claim - Findingown data
Multiple targets were found within important age-related pathways, such as regulation of cell communication and the mTOR signaling pathway.
“We found multiple targets within important age-related pathways, such as regulation of cell communication and the mTOR signaling pathway (Fig. 5i).”
Quote in the paperNot a substantial claim - Findingown data
In choroid plexus in males, exclusively one miRNA (mmu-miR-5100) was significantly positively correlated with age.
“In the choroid plexus in males, exclusively one miRNA (mmu-miR-5100) was significantly positively correlated with age.”
Quote in the paperNot a substantial claim - Findingown data
Sex-specific miRNAs with regional expression patterns were identified in thirteen regions for males (e.g., miR-133b-5p in cerebellum) and in all regions for females (e.g., miR-471-3p in medulla).
“we identified sex-specific miRNAs with regional expression patterns in thirteen regions for males (e.g., miR-133b-5p in cerebellum) and in all regions for females (e.g., miR-471-3p in medulla).”
Quote in the paperNot a substantial claim - Findingown data
In pons, nine sex-unspecific miRNAs were observed.
“nine in pons”
Quote in the paperNot a substantial claim - Findingown data
There were many miRNAs uniquely associated with age in one brain region, especially 134 in the choroid plexus and 82 in pons.
“There were many miRNAs uniquely associated with age in one region, especially 134 in the choroid plexus and 82 in pons.”
Quote in the paperNot a substantial claim - Findingown data
The strongest region-specific miRNA signature was observed in the olfactory bulb.
“The strongest region-specific signature was observed in the olfactory bulb.”
Quote in the paperNot a substantial claim - Findingown data
Splitting the data into male and female samples revealed differing miRNA signatures.
“Splitting the data into male and female samples, however, revealed differing signatures (Fig. 2a), underlining the importance of a sex-separable dataset.”
Quote in the paperNot a substantial claim - Findingown data
Visualizing UMAP results for young adult mice exhibited a clear separation driven by brain region identity.
“Visualizing the UMAP results exhibited a clear separation driven by the brain region identity (Supplementary Fig. 2f).”
Quote in the paperNot a substantial claim - Findingown data
The analysis of miRNA patterns in brain regions during aging revealed sex-independent miRNAs increasing with age in multiple brain regions, namely miR-146a, miR-155-5p, and miR-5100.
“The analysis of miRNA patterns in brain regions during aging revealed sex-independent miRNAs increasing with age in multiple brain regions, namely miR-146a, miR-155-5p, and miR-5100.”
Quote in the paperSubstantial claim - Findingown data
We detected an increase of miR-155-5p expression in aged microglia.
“We detected an increase of miR-155-5p expression in aged microglia.”
Quote in the paperSubstantial claim - Findingown data
Only miR-155-5p showed an increase in aged microglia.
“Only miR-155-5p showed an increase in aged microglia (Fig. 5e).”
Quote in the paperSubstantial claim - Findingown data
MiR-5100 was significantly upregulated in males in the medulla and corpus callosum.
“MiR-5100, also identified as a significant age-correlated miRNA in multiple brain regions in both sexes (Fig. 3c), was significantly upregulated in males in the medulla and corpus callosum (Fig. 3e).”
Quote in the paperNot a substantial claim - Findingown data
An in-depth analysis of miR-155-5p expression in aDR did not reveal any persisting trends.
“An in-depth analysis of miR-155-5p expression in aDR did not reveal any persisting trends (Supplementary Fig. 9i).”
Quote in the paperNot a substantial claim - Findingown data
In olfactory bulb, eleven sex-unspecific miRNAs (e.g., miR-200b/c-5p) were observed.
“eleven in the olfactory bulb (e.g., miR-200b/c-5p)”
Quote in the paperNot a substantial claim - Findingown data
86 significantly upregulated and 37 significantly downregulated miRNAs were identified between male and female in caudate putamen.
“We identified 86 significantly upregulated and 37 significantly downregulated miRNAs between male and female in the caudate putamen (Fig. 2d, cf. Methods).”
Quote in the paperNot a substantial claim - Findingown data
GSEA revealed overlaps between six brain regions for the 50 most significant enriched and depleted pathways.
“This analysis revealed overlaps between six brain regions for the 50 most significant enriched and depleted pathways (Supplementary Fig. 6a).”
Quote in the paperNot a substantial claim - Interpretationown data
The increasing expression of miR-155-5p in several brain regions is likely driven by an increased microglial expression.
“Hence, the increasing expression of miR-155-5p in several brain regions is likely driven by an increased microglial expression.”
Quote in the paperSubstantial claim - Interpretationown data
miRNAs exhibiting a strong regionally defined expression pattern in the brain have a stable expression during aging.
“Our findings indicate that miRNAs exhibiting a strong regionally defined expression pattern in the brain have a stable expression during aging.”
Quote in the paperSubstantial claim - Interpretationreasoning
Age-related microglial miR-155-5p expression changes likely regulate mTOR pathway gene expression.
“We conclude that age-related microglial miR-155-5p expression changes likely regulate mTOR pathway gene expression.”
Quote in the paperSubstantial claim - Interpretationown data
The results of the miRNA trajectory clustering confirmed the three increasing cross-sex brain aging miRNAs.
“The results of the miRNA trajectory clustering confirmed the three increasing cross-sex brain aging miRNAs.”
Quote in the paperSubstantial claim - Interpretationown data
MiR-155-5p, miR-146a-5p, and miR-5100 exhibit a strong aging signature independent from sex and region.
“MiR-155-5p, miR-146a-5p, and miR-5100 were significantly positively correlated with age in males and females, exhibiting a strong aging signature independent from sex and region.”
Quote in the paperSubstantial claim - Interpretationown data
The observed miRNA changes are likely not a result of strand-specific transcriptional effects.
“This suggests that the observed miRNA changes are likely not a result of strand-specific transcriptional effects.”
Quote in the paperNot a substantial claim - Interpretationreasoning
More age-correlated miRNAs were detected in the combined analysis than in the sex-separated one due to the higher sample size.
“Hence, we were able to detect more age-correlated miRNAs in the combined analysis than in the sex-separated one due to the higher sample size.”
Quote in the paperNot a substantial claim - Study design and conductnone given
The sample size of this study enabled us to identify sex-specific aging signatures.
“The sample size of this study enabled us to even identify sex-specific aging signatures that are currently heavily understudied.”
Quote in the paperSubstantial claim - Interpretationreasoning
miR-155-5p deregulation might not only affect its direct targets but also other downstream targets within the mTOR pathway.
“This highlights that miR-155-5p deregulation might not only affect its direct targets but also other downstream targets within this pathway.”
Quote in the paperNot a substantial claim - Study design and conductown data
By calculating correlations, the study neglected non-monotonic effects in the trajectories.
“By calculating correlations, we neglected non-monotonic effects in the trajectories.”
Quote in the paperSubstantial claim
- May combine two claims. 65
- Classified as probably not a substantial claim. 41
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationCD11b+/CD45+ brain cells are mainly infiltrating macrophages, so we exclude these macrophages with our sorting strategy.
“As CD11b+/CD45+ brain cells are mainly infiltrating macrophages53, we exclude these macrophages with our sorting strategy.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [53] Rayaprolu, S. et al. Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer's disease. Mol Neurodegener. 15, 28 (2020). source
The Methods section (Acute isolation of CD11b-positive microglia; page unavailable) says CD11b+ brain myeloid cells are predominantly microglia, while CD45high brain-infiltrating macrophages make up less than 5% of them. It also says the authors sorted CD11b+ cells rather than using a CD11b+CD45int selection strategy. This contradicts the cited premise that these cells are mainly infiltrating macrophages. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMiR-9-5p is known to be involved in neurogenesis, axon development, differentiation, and proliferation of neural progenitor cells.
“MiR-9-5p is known to be involved in neurogenesis, axon development, differentiation, and proliferation of neural progenitor cells27.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [27] Sim, S. E. et al. The brain-enriched MicroRNA miR-9-3p regulates synaptic plasticity and memory. J. Neurosci. 36, 8641–8652 (2016). source
May combine two claims.
Findingown dataFor miRNAs, sex was responsible for 0.2% of variation and 2.8% in combination with brain region.
“The variable sex was responsible for 0.2% of the variation and for 2.8% in combination with the brain region (Fig. 1g).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGSEA over miRNAs in motor cortex, caudate putamen, and thalamus revealed overlaps between regulated pathways; 'cerebral cortex radially oriented cell migration' was depleted in all three regions and 'complement-dependent cytoxicity' was enriched.
“A gene set enrichment analysis (GSEA) over the miRNAs in mot. cortex, caudate putamen, and thalamus revealed overlaps between regulated pathways (Fig. 2e). E.g., “cerebral cortex radially oriented cell migration” was depleted in all three regions and “complement-dependent cytoxicity” was enriched.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataCluster 52 contained only one trajectory and was excluded from further evaluations.
“Note, cluster 52 contained only one trajectory; hence, we excluded it from further evaluations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCorrelating each feature with age per brain region revealed 720 positive correlated tRNAs and 127 negatively correlated miRNAs (51 positively correlated miRNAs).
“Correlating each feature with age per brain region revealed 720 positive correlated tRNAs and 127 negatively correlated miRNAs (51 positively correlated miRNAs, Fig. 1b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn motor cortex, 26 miRNAs were significantly upregulated and one miRNA significantly downregulated between male and female.
“In the motor cortex, 26 miRNAs were significantly upregulated and one miRNA significantly downregulated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor the aDR study, 1345 features were obtained after filtering.
“For both, we mapped 1966 features and obtained 1345 and 1382 features after filtering, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown datamiR-5100 was not detected in microglia.
“Unfortunately, miR-5100 was not detected.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor the YMP study, 1382 features were obtained after filtering.
“For both, we mapped 1966 features and obtained 1345 and 1382 features after filtering, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn our aging brain region-specific miRNA atlas, we identified region-specific miRNA signatures, especially in the olfactory bulb and cerebellum in males and medulla and pons in females.
“In our aging brain region-specific miRNA atlas, we identified region-specific miRNA signatures, especially in the olfactory bulb and cerebellum in males and medulla and pons in females.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor YMP, no significant miR-155-5p expression changes compared to control groups were detected, but decreased expression was observed in corpus callosum, cerebellum, caudate putamen, medulla, and choroid plexus and an increase in mot. cortex.
“Similarly, for YMP, we did not detect any significant miR-155-5p expression changes compared to control groups, however we observed decreased expression in corpus callosum, cerebellum, caudate putamen, medulla, and choroid plexus and an increase in mot. cortex (Supplementary Fig. 9k).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown datamiR-155-5p and miR-146a-5p were significantly correlated with age in males and females.
“Apart from miR-5100, miR-155-5p and miR-146a-5p were significantly correlated with age in males and females”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTwo clusters (24 and 38) exhibited a continuous decrease in expression. Neither of these clusters were region-specific.
“Two clusters (24 and 38) exhibited a continuous decrease in expression. Neither of these clusters were region-specific.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAn aggregation of significant results showed a high number of significantly upregulated miRNAs in choroid plexus (214 miRNAs) and significant downregulation in pons (94 miRNAs), SVZ (82 miRNAs) and choroid plexus (54 miRNAs).
“An aggregation of the significant results resolved showed a high number of significantly upregulated miRNAs in choroid plexus (214 miRNAs) and significant downregulation in pons (94 miRNAs), SVZ (82 miRNAs) and choroid plexus (54 miRNAs) (Supplementary Fig. 4f).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn the olfactory bulb, median expression of miR-9-5p was over 100k rpmm.
“In the olfactory bulb, we detected a median expression of over 100k rpmm.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMiR-10b-3p and miR-10b-5p were signature miRNAs in the medulla and shared between medulla and pons were miR-1a-1-5p and miR-10a-3p/5p.
“MiR-10b-3p and miR-10b-5p were the signature miRNAs in the medulla and shared between medulla and pons were miR-1a-1-5p and miR-10a-3p/5p.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn combined analysis, fewer miRNAs were significantly positively correlated with age and more were significantly anti-correlated, especially driven by 75 anticorrelated miRNAs in pons.
“We found less miRNAs significantly positively correlated with age in the combined analysis and more miRNAs significantly anti-correlated, especially driven by 75 anticorrelated miRNAs in pons.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data59 miRNAs were upregulated in aged microglia and 70 miRNAs downregulated.
“A detailed analysis of deregulated miRNA between these two groups revealed 59 miRNAs upregulated in aged microglia and 70 miRNAs downregulated (cf. Methods, Fig. 5f, Supplementary Data 11).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe microglia dataset consisted of 8 samples, all of which survived filtering, and 419 features survived filtering using an adjusted threshold of 1.8 million reads.
“The microglia dataset consisted of 8 samples, of which all samples and 419 features survived the filtering using an adjusted threshold of 1.8 million reads.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor the YMP study, 68 out of 84 samples were kept after filtering.
“and 68 out of 84 samples for the YMP study.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn females, 63 miRNAs were significantly positively correlated in choroid plexus and 13 were significantly anti-correlated in the SVZ.
“In females, 63 miRNAs were significantly positively correlated in choroid plexus and 13 were significantly anti-correlated in the SVZ.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataHuman ROSMAP data after filtering yielded 203 samples and 280 miRNAs.
“So, after filtering, we obtained 203 samples and 280 miRNAs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe average number of significantly age-correlated miRNAs in a +/−10kb window is 5.27 on the same strand and 0.25 on the opposite strand.
“As a reference, the average number in this defined neighborhood is 5.27 on the same strand and 0.25 miRNAs on the opposite strand.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn females, region-specific miRNAs and significant age-related miRNAs were detected, but no simultaneously region-specific and age-related miRNAs were detected.
“In females, we detected region-specific miRNAs as well as significant age-related ones, but again, no simultaneously region-specific and age-related miRNAs were detected.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
FindingcitationFor 66 of the 82 target genes, expression values from 809 samples matching to the miRNA samples were obtained using gene data from Hahn et al.
“Using the gene data from Hahn et al.3, we obtained for 66 of the target genes expression values from 809 samples matching to the miRNA samples.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hahn et al. [3] Hahn, O. et al. Atlas of the aging mouse brain reveals white matter as vulnerable foci. Cell 186, 4117–4133 e4122 (2023). source
Queued — the background check reaches it, usually within a day.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAnalyzing the composition of expressed counts per brain region indicated a homogenous distribution.
“Analyzing the composition of expressed counts per brain region indicated a homogenous distribution (Supplementary Fig. 1f).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn females, pons and medulla exhibited strong regional expression signatures, each forming a separate cluster.
“In females, pons and medulla exhibited strong regional expression signatures, by each forming a separate cluster.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBetween oldest (92-102 years) and youngest (71-80 years) human ROSMAP groups, 144 downregulated and 10 upregulated miRNAs were found in females and 42 downregulated and 32 upregulated miRNAs in males.
“Between the oldest (92–102 years) and the youngest (71–80 years) group, we found 144 downregulated and 10 upregulated miRNAs in females and 42 downregulated and 32 upregulated miRNAs in males (Fig. 3g, cf. Methods).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFor the aging cohort, after filtering, 828 samples and 1174 miRNAs were kept.
“from which we kept 828 samples and 1174 miRNAs (3424 lncRNAs, 605 piRNAs, 194 rRNAs, 27 scaRNAs, 672 snoRNAs, 705 snRNAs and 404 tRNAs).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor five regions, the share of variation explainable by age (>12%) dominated over the share explainable by sex (<10%) and the combination between age and sex (<3%).
“However, our study focusses on age-related miRNA expression patterns and for five regions the share of variation explainable by age (>12%) dominated over the share explainable by sex (<10%) and the combination between age and sex (<3%) (Fig. 2c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCerebellum and choroid plexus stood out with 511 and 308 distinct miRNAs over all age comparisons, respectively.
“Especially the brain regions cerebellum and choroid plexus stood out with 511 and 308 distinct miRNAs over all age comparisons, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFor the aging cohort, 844 samples were sequenced and 1966 miRNAs were obtained before filtering.
“For the aging cohort, we obtained 844 sequenced samples and 1966 miRNAs (9139 lncRNAs, 30930 piRNAs, 356 rRNAs, 51 scaRNAs, 1542 snoRNAs, 1390 snRNAs and 408 tRNAs) from which we kept 828”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMiR-212-3p was significantly anti-correlated with age in males and miR-3473e in females, both for two brain regions.
“MiR-212-3p was significantly anti-correlated with age in males and miR-3473e in females, both for two brain regions, namely olfactory bulb and corpus callosum, hippocampus anterior and olfactory bulb, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data11 miRNAs were significantly anti-correlated (e.g., miR-18a-5p in olfactory bulb and pons) and 7 were significantly positively correlated in multiple tissues (e.g., miR-155-5p in corpus callosum, mot. cortex, caudate putamen, medulla, choroid plexus, SVZ, thalamus, and vis. cortex).
“We found 11 miRNAs significantly anti-correlated (e.g., miR-18a-5p in olfactory bulb and pons) and 7 significantly positively correlated in multiple tissues (e.g., miR-155-5p in corpus callosum, mot. cortex, caudate putamen, medulla, choroid plexus, SVZ, thalamus, and vis. cortex).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIsomiRs of miR-155-5p followed a similar trend of increase during aging in all regions, but the archetype form dominated.
“We found that isomiRs of miR-155-5p followed a similar trend of increase during aging in all regions, but the archetype form dominated (Fig. 5g, Supplementary Fig. 10a).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither sex nor age can be identified as strong factors driving distinct grouping in UMAP visualization of young adult mice.
“Neither sex nor age can be identified as strong factors driving a distinct grouping in the UMAP visualization (Supplementary Fig. 2g and 2h).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn females, 76 significantly positively age-correlated miRNAs were observed and a matching high count of upregulated miRNAs is observed within age comparisons across all regions.
“In females, we observed 76 significantly positively age-correlated miRNAs (Fig. 3b) and a matching high count of upregulated miRNAs is observed within the age comparisons across all regions (Fig. 3d).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCyclin H (CCNH) and the basic helix-loop protein (ARNLT) were significantly anti-correlated in five and six different regions, respectively.
“Cyclin H (CCNH) and the basic helix-loop protein (ARNLT) were significantly anti-correlated in five and six different regions, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor miRNAs, age as an independent factor introduced 0.6% of variation and 3.8% in combination with brain region.
“Age, as an independent factor, introduced 0.6% of the variation and 3.8% in combination with the brain region.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSVZ, choroid plexus, and pons shared 11 miRNAs, the highest number of shared miRNAs and regions.
“SVZ, choroid plexus, and pons shared 11 miRNAs, comprising the highest number of shared miRNAs and regions.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDuring aging, miR-9-5p expression in the olfactory bulb slightly decreased over the lifespan in males but remained mostly stable in females.
“However, the expression in the olfactory bulb slightly decreased over the lifespan in males but remained mostly stable in females.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThalamus and corpus callosum exhibited solely sex-driven variances above 10% but equally strong solely age-driven variances.
“Thalamus and corpus callosum also exhibited solely sex-driven variances above 10% but equally strong solely age-driven variances.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFor the aDR study, 118 samples were sequenced and 113 were kept after filtering.
“This resulted in 118 sequenced and 113 kept samples for the aDR study”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown datatRNA-Glu-TTC-1-1 was significantly positively correlated with age in both sexes in multiple brain regions.
“We exemplary highlight a tRNA (tRNA-Glu-TTC-1-1), which was significantly positively correlated in both sexes in multiple brain regions (Fig. 1c).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataCluster center lines containing trajectories from miR-5100 showed an increasing tendency.
“Looking at cluster center lines containing trajectories from miR-5100, we observed an increasing tendence (Supplementary Fig. 8c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn males, corpus callosum, visual cortex, and olfactory bulb were the most prominent regions affected by miRNA expression changes, as opposed to choroid plexus in females.
“In males, corpus callosum, visual cortex, and olfactory bulb were the most prominent regions affected by miRNA expression changes, as opposed to choroid plexus in females.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIf a cluster has a high region-specificity, there are no more than two to three miRNA trajectory occurrences in most cases. In contrast, clusters with multiple miRNA trajectory occurrences tend to have lower region-specificity.
“If a cluster has a high region-specificity, there are no more than two to three miRNA trajectory occurrences in most cases. In contrast, clusters with multiple miRNA trajectory occurrences tend to have lower region-specificity.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMiR-155-5p, miR-146a-5p, and miR-5100 were significantly positively correlated with age in males and females.
“MiR-155-5p, miR-146a-5p, and miR-5100 were significantly positively correlated with age in males and females, exhibiting a strong aging signature independent from sex and region.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMiR-155-5p and miR-146a-5p were expressed in microglia above a threshold of 3 rpmm, miR-5100 was not.
“MiR-155-5p and miR-146a-5p were expressed in microglia above a threshold of 3 rpmm, miR-5100 was not.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn hippocampus posterior, 196 miRNAs were commonly downregulated at 26 and 28 months of age, even though no significantly anti-correlated miRNA was found.
“In hippocampus posterior 196 miRNAs were commonly downregulated at 26 and 28 months of age, even though no significantly anti-correlated miRNA was found.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn sex-separated analysis, the most pronounced miRNA expression changes in females were in choroid plexus, SVZ, and hippocampus; in males, expression changes in the visual cortex, olfactory bulb, and corpus callosum dominated.
“In sex-separated analysis, we found the most pronounced miRNA expression changes in females in choroid plexus, SVZ, and hippocampus. While in males, expression changes in the visual cortex, olfactory bulb, and corpus callosum dominated.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWe reproduced previous findings of miR-200 exclusively expressed in olfactory bulb in males and extend this knowledge to equal region-specific expression in females.
“We reproduced previous findings of miR-200 exclusively expressed in olfactory bulb in males and extend this knowledge to equal region-specific expression in females.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn males, 12 miRNAs were significantly positively correlated in the vis. cortex and 12 miRNAs were significantly anti-correlated in olfactory bulb.
“In males, 12 miRNAs were significantly positively correlated in the vis. cortex and in olfactory bulb 12 miRNAs were significantly anti-correlated (Fig. 3b, Supplementary Data 4).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataMiR-9-5p is highly expressed in all regions, though it is not amongst the 50 most variable miRNAs.
“MiR-9-5p is highly expressed in all regions (Supplementary Fig. 2j), though it is not amongst the previously defined 50 most variable miRNAs (Supplementary Fig. 2i).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn our dataset, we discovered altered isomiR expression for miR-155-5p and an expression change in a target gene (CISH) exclusively in medulla.
“In our dataset, we discovered altered isomiR expression for miR-155-5p and an expression change in a target gene (CISH) exclusively in medulla.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn females, cerebellum exhibited an even higher upregulation trend starting at 12 months of age with 451 upregulated miRNAs, but no significant age-correlated miRNAs were observed.
“While the cerebellum exhibited an even higher upregulation trend in females starting at 12 months of age with 451 upregulated miRNAs, no significant age-correlated miRNAs were observed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataWe found an average read count per sample of over 21 million for aDR and 23 million for YMP.
“We found an average read count per sample of over 21 million for aDR and 23 million for YMP (Supplementary Fig. 9d and 9e).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor females, the signature is less pronounced, but a distinct expression of miR-200 family members persisted (miR-200b/c-5p).
“For the females, the signature is less pronounced, but a distinct expression miR-200 family members persisted (miR-200b/c-5p).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither sex nor age was identified as strong drivers for grouping in the UMAP visualization of features.
“Neither sex nor age was identified as strong drivers for grouping (Supplementary Fig. 1d and 1e).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the mTOR pathway, 67 genes are included.
“In the mTOR pathway are 67 genes included45.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Schaefer, C. F. et al. PID: the pathway interaction database. Nucleic Acids Res. 37, D674–D679 (2009). source
Queued — the background check reaches it, usually within a day.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningLimitations of our study include restricted transferability to humans and technical challenges of analysis of cell-type specific miRNA patterns.
“Limitations of our study include, aside from restricted transferability to humans, the limitations arising from technical challenges of analysis of cell-type specific miRNA patterns.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBoth miR-155-5p and miR-146a-5p regulate neuroinflammation and are implicated in neurodegenerative diseases.
“Given that both miR-155-5p and miR-146a-5p regulate neuroinflammation and are implicated in neurodegenerative diseases28, their roles in brain aging present compelling targets for further investigations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Danka Mohammed, C. P., Park, J. S., Nam, H. G. & Kim, K. MicroRNAs in brain aging. Mech. Ageing Dev. 168, 3–9 (2017). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataOn average, over 55% of the reads were mapped to miRNAs and 113 of 118 samples (96%) for aDR and 68 of 84 (81%) for YMP passed our quality control.
“On average, over 55% of the reads were mapped to miRNAs (Supplementary Fig. 9f and 9g) and 113 of 118 samples (96%) for aDR and 68 of 84 (81%) for YMP passed our quality control (Supplementary Data 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe aDR study with C3B6F1 mice was performed in accordance with FELASA recommendations and approved by the Landesamt für Natur, Umwelt und Verbraucherschutz, Nordrhein-Westfalen, Germany.
“The aDR study with C3B6F1 mice was performed in accordance with the recommendations and guidelines of the Federation of the European Laboratory Animal Science Association (FELASA), with all protocols approved by the Landesamt für Natur, Umwelt und Verbraucherschutz, Nordrhein-Westfalen, Germany (84-02.04.2015.A437).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThese sex-specific changes potentially relate to sex-specific regulation of distinct pathways.
“These changes potentially relate to sex-specific regulation of distinct pathways.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMiR-200 family members in the olfactory bulb are crucial to mediate neuronal maturation through targeting Zeb2 during postnatal development.
“MiR-200 family members in the olfactory bulb are crucial to mediate neuronal maturation through targeting Zeb2 during postnatal development22.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] Beclin, C. et al. miR-200 family controls late steps of postnatal forebrain neurogenesis via Zeb2 inhibition. Sci. Rep. 6, 35729 (2016). source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOver 55% of reads mapped to miRNAs.
“over 55% of reads mapped to miRNAs (Supplementary Fig. 1b).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductnone givenAll experiments were performed in accordance with institutional guidelines approved by the VA Palo Alto Committee on Animal Research.
“All experiments were performed in accordance with institutional guidelines approved by the VA Palo Alto Committee on Animal Research.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThis indicates a strong expression decrease between 21 and 26 months, which was not detectable via correlation.
“This indicates a strong expression decrease between 21 and 26 months, which was not detectable via correlation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAge-related miRNAs occur in a region-dependent manner, but these miRNAs were not amongst the highest variable ones between all regions.
“In contrast, even though age-related miRNAs occur in a region-dependent manner, these miRNAs were not amongst the highest variable ones between all regions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data828 of 844 samples (98%) passed quality control.
“828 of 844 samples (98%) passed quality control (Supplementary Data 1 and 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningIt is possible that trends observed within the mouse data could be present in humans but cannot be captured during this short time course at the end of the human life span.
“As the youngest human age of 71 years roughly compares to the last time point of the mouse data (28 months), it is possible that the trends observed within the mouse data could be present in humans but cannot be captured during this short time course at the end of the human life span.”
Quote in the paperNot a substantial claim- Rests on an assumption: The youngest human age of 71 years roughly compares to the last time point of the mouse data (28 months).
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationmiRTargetLink 2.0 provided 82 target genes for mmu-miR-155-5p, considering all functional ones.
“miRTargetLink 2.043 provided 82 target genes for the feature mmu-miR-155-5p, considering all functional ones.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Kern, F. et al. miRTargetLink 2.0-interactive miRNA target gene and target pathway networks. Nucleic Acids Res. 49, W409–W416 (2021). source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSex differences in pathologies as well as neural properties and associated mechanisms have been reported previously for caudate putamen, e.g., in humans for fiber connection strength.
“Sex differences in pathologies as well as neural properties and associated mechanisms have been reported previously for caudate putamen24, e.g., in humans for fiber connection strength.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Wong, J. E., Cao, J., Dorris, D. M. & Meitzen, J. Genetic sex and the volumes of the caudate-putamen, nucleus accumbens core and shell: original data and a review. Brain Struct. Funct. 221, 4257–4267 (2016). source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningExceptions like the overlap of hippocampus anterior and posterior can be explained by their anatomical and functional proximity.
“Exceptions like the overlap of hippocampus anterior and posterior can be explained by their anatomical and functional proximity.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningWe chose to exclude CD45+ cells to distinguish resident microglia from infiltrating immune cells, thereby excluding a subset of resident microglia, as the expression of CD45 can increase with age in resident microglia.
“We chose to exclude CD45+ cells to distinguish resident microglia from infiltrating immune cells. However, we thereby exclude a subset of resident microglia, as the expression of CD45 can increase with age in resident microglia.”
Quote in the paperSubstantial claim- Rests on an assumption: The expression of CD45 can increase with age in resident microglia.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataDuring sex-specific analysis, the study was limited to 14 brain regions and timepoints up to 21 months due to an insufficient number of older female samples.
“During sex-specific analysis, we were limited to 14 brain regions and timepoints up to 21 months due to an insufficient number of older female samples.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataSex-specific miRNA expression patterns persist during the entire lifespan and dominate over age-related expression changes, especially strong in the motor cortex and caudate putamen.
“In summary, we found sex-specific miRNA expression patterns that persist during the entire lifespan and dominate over age-related expression changes, especially strong in the motor cortex and caudate putamen.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll animal care and procedures complied with the Animal Welfare Act and were in accordance with institutional guidelines and approved by the institutional administrative panel of laboratory animal care at Stanford University.
“All animal care and procedures complied with the Animal Welfare Act and were in accordance with institutional guidelines and approved by the institutional administrative panel of laboratory animal care at Stanford University.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOn average, read count was over 9.5 million per group when aggregating all samples according to brain region and age.
“On average we found a read count of over 9.5 million per group, when aggregating all samples according to brain region and age (Supplementary Fig. 1a)”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIn caudate putamen the miR-155-5p increase lead to a strong ARNTL decrease, whereas in medulla the decrease was less pronounced.
“In caudate putamen the miR-155-5p increase lead to a strong ARNTL decrease, whereas in medulla the decrease was less pronounced.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown datamiR-155-5p, miR-146a-5p, and miR-5100 are cross-sex brain aging miRNAs.
“These observations indicated miR-155-5p, miR-146a-5p, and miR-5100 as cross-sex brain aging miRNAs (Supplementary Data 9).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese results indicate that expression is drastically increased between 12 and 15 months and remained constantly high thereafter.
“These results indicate that the expression is drastically increased between 12 and 15 months and remained constantly high thereafter.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMiR-1 and miR-10b were previously reported to regulate BDNF, an important protein involved in synaptogenesis, memory, and learning.
“MiR-1 and miR-10b were previously reported to regulate BDNF (brain-derived neurotrophic factor) an important protein involved in synaptogenesis, memory, and leaning23.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] Varendi, K., Kumar, A., Harma, M. A. & Andressoo, J. O. miR-1, miR-10b, miR-155, and miR-191 are novel regulators of BDNF. Cell Mol. Life Sci. 71, 4443–4456 (2014). source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn a previous study examining expression by bulk sequencing, peaks of deregulation at 12 and 18 months were observed in the brain without regional resolution.
“In our previous study, which examined the expression by bulk sequencing, we observed peaks of deregulation at 12 and 18 months in the brain without any regional resolution31.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Wagner, V. et al. Characterizing expression changes in noncoding RNAs during aging and heterochronic parabiosis across mouse tissues. Nat. Biotechnol. 42, 109–118 (2024). source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
InterpretationreasoningThis atlas offers a comprehensive map of miRNA expression across different brain regions in a sex-specific manner, which was previously nonexistent.
“In sum, this atlas offers a comprehensive map of miRNA expression across different brain regions in a sex-specific manner, which was previously nonexistent”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataRegional miRNA expression patterns occur in a sex independent manner in anterior and posterior brain regions, and strong sex-specific regional patterns rather occur in central brain regions (corpus callosum, motor cortex, choroid plexus, thalamus).
“Hence, we concluded that regional miRNA expression patterns occur in a sex independent manner in anterior and posterior brain regions, and strong sex-specific regional patterns rather occur in central brain regions (corpus callosum, motor cortex, choroid plexus, thalamus).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor the aDR study with C57BL/6JN mice, 18-months-old mice were randomly assigned to AL or aDR.
“For the aDR study with C57BL/6JN mice, 18-months-old mice were randomly assigned to AL or aDR.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Study design and conductreasoningAnother limitation is the question of whether different microglial states in aDR and YMP exist with respectively specific miRNA expression patterns.
“Another limitation is the question of whether different microglial states in aDR and YMP exist with respectively specific miRNA expression patterns.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningDue to limited access to aged mice, especially females, this was not possible in this study. Therefore, also our microglia data is also limited to male samples.
“Due to limited access to aged mice, especially females, this was not possible in this study. Therefore, also our microglia data is also limited to male samples.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThe fact that these peaks were not observed across all brain regions in this study highlights the importance of a region-specific investigation.
“The fact that we did not observe these peaks across all brain regions in this study highlights the importance of a region-specific investigation.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Inbred mouse samples minimize genetic and environmental variability, creating a baseline of miRNA expression with minimal confounding factors.
“We decided to use inbred mouse samples to minimize genetic and environmental variability, creating a baseline of miRNA expression with minimal confounding factors.”
The paper relies on this without support.
A baseline of miRNA expression with minimal confounding factors is essential for human studies.
“A baseline is essential for human studies as these are challenging due to the sparse availability of unaffected brains, genetic and environmental heterogeneity, varying post-mortem intervals, and hence varying sample quality.”
The paper relies on this without support.
The youngest human age of 71 years roughly compares to the last time point of the mouse data (28 months).
“As the youngest human age of 71 years roughly compares to the last time point of the mouse data (28 months), it is possible that the trends observed within the mouse data could be present in humans but cannot be captured during this short time course at the end of the human life span.”
The paper relies on this without support.
mmu-miR-146a-5p is a known cholino-miRNA.
“In particular, mmu-miR-146a-5p, one of the cross-region age-related miRNAs is a known cholino-miRNA.”
The paper relies on this without support.
PTPRJ activates MAPK1, which is an important player during extracellular signaling and various cellular processes.
“PTPRJ activates MAPK1, which is an important player during extracellular signaling and various cellular processes.”
The paper relies on this without support.
Changes in cell type composition and especially cell type states could drastically influence miRNA bulk expression patterns.
“Changes in cell type composition and especially cell type states could drastically influence miRNA bulk expression patterns.”
The paper relies on this without support.
Commonly used single-cell sequencing techniques cannot be applied to assess mature miRNA expression due to the lack of polyA-tails, which are essential to most protocols.
“Commonly used single-cell sequencing techniques cannot be applied to assess mature miRNA expression due to the lack of polyA-tails, which are essential to most protocols.”
The paper relies on this without support.
IsomiRs occur naturally due to either altered cleaving patterns or sequence editing.
“Sequence variations of mature miRNAs, so called isomiRs, occur naturally due to either altered cleaving patterns or sequence editing.”
The paper relies on this without support.
IsomiR patterns can vary between different organs and in disease to their archetype miRNA expression.
“IsomiR patterns can vary between different organs and in disease to their archetype miRNA expression.”
The paper relies on this without support.
IsomiRs can alter the target spectrum of a miRNA.
“IsomiRs can alter the target spectrum of a miRNA”
The paper relies on this without support.
The expression of CD45 can increase with age in resident microglia.
“as the expression of CD45 can increase with age in resident microglia.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Feature-specific cluster cutoff differs between figure and methods
MinorThe figure caption uses an incidence that exceeds 4, whereas the methods define feature-specific clusters using 4 or more occurrences. A cluster with exactly four occurrences meets only the methods' cutoff.
“Dot color indicates brain region if occurrence exceeds 30%, dark green if the most frequent features incidence exceeds 4, otherwise light green.”
“We called a cluster brain region specific if more or equal than 30% of the elements in this cluster belonged to only one brain region, and feature specific if 4 or more occurrences of one feature could be found in the cluster.”
Conflicting thresholds for anti-correlated target genes
MinorThe figure defines the plotted anti-correlated genes using |R| ≥ 0.3. The corresponding methods instead call a gene negatively correlated when its coefficient is ≤ 0.3, which would also admit weak negative coefficients between −0.3 and 0.
“For this part of the analysis, we called a gene significantly negatively correlated if the correlation value was smaller than or equal to 0.3 and the adjusted p-value was smaller than 0.05.”
“Upset plot shows significantly anti-correlated genes ((|R| ≥ 0.3, adjusted p-value < 0.05, two-sided Spearman’s rank correlation test, Benjamini-Hochberg procedure) with brain region assignment.”
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373 · see citing works
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
UMAP: Uniform Manifold Approximation and Projection
McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software · doi:10.21105/joss.00861 · Cited by 9,826 · see citing works
Hallmarks of aging: An expanding universe
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2023) · Cell · doi:10.1016/j.cell.2022.11.001 · Cited by 6,549 · see citing works
miRBase: from microRNA sequences to function
Kozomara, A., Birgaoanu, M., & Griffiths-Jones, S. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1141 · Cited by 4,684 · see citing works
Ageing as a risk factor for neurodegenerative disease
Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., & Bohr, V. A. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0244-7 · Cited by 3,310 · see citing works
Mfuzz: A software package for soft clustering of microarray data
Kumar, L., & Futschik, M. E. (2007) · Bioinformation · doi:10.6026/97320630002005 · Cited by 2,000 · see citing works
Gu, Z. (2022) · iMeta · doi:10.1002/imt2.43 · Cited by 1,897 · see citing works
Ambros, V. (2001) · Cell · doi:10.1016/s0092-8674(01)00616-x · Cited by 1,704 · see citing works
PID: the Pathway Interaction Database
Schaefer, C. F., Anthony, K., Krupa, S., Buchoff, J., Day, M., Hannay, T., & Buetow, K. H. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn653 · Cited by 1,603 · see citing works
Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260 · see citing works
Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice
Villeda, S. A., Plambeck, K. E., Middeldorp, J., Castellano, J. M., Mosher, K. I., Luo, J., Smith, L. K., Bieri, G., Lin, K., Berdnik, D., et al. (2014) · Nature Medicine · doi:10.1038/nm.3569 · Cited by 1,081 · see citing works
Self-citationEmerging concepts of miRNA therapeutics: from cells to clinic
Diener, C., Keller, A., & Meese, E. U. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.02.006 · Cited by 981 · see citing works
Self-citationSustainable data analysis with Snakemake
Mölder, F., Jablonski, K. P., Letcher, B., Hall, M. B., Tomkins-Tinch, C. H., Sochat, V., Forster, J., Lee, S., Twardziok, S. O., Kanitz, A., et al. (2021) · F1000Research · doi:10.12688/f1000research.29032.1 · Cited by 786 · see citing works
Aging-induced type I interferon response at the choroid plexus negatively affects brain function
Baruch, K., Deczkowska, A., David, E., Castellano, J. M., Miller, O., Kertser, A., Berkutzki, T., Barnett-Itzhaki, Z., Bezalel, D., Wyss-Coray, T., et al. (2014) · Science · doi:10.1126/science.1252945 · Cited by 615 · see citing works
Self-citationHypothalamic stem cells control ageing speed partly through exosomal miRNAs
Zhang, Y., Kim, M. S., Jia, B., Yan, J., Zuniga-Hertz, J. P., Han, C., & Cai, D. (2017) · Nature · doi:10.1038/nature23282 · Cited by 564 · see citing works
NOISE-ROBUST SOFT CLUSTERING OF GENE EXPRESSION TIME-COURSE DATA
Futschik, M. E., & Carlisle, B. (2005) · Journal of Bioinformatics and Computational Biology · doi:10.1142/s0219720005001375 · Cited by 543 · see citing works
Alteration of the microRNA network during the progression of Alzheimer's disease
Lau, P., Bossers, K., Janky, R., Salta, E., Frigerio, C. S., Barbash, S., Rothman, R., Sierksma, A. S. R., Thathiah, A., Greenberg, D., et al. (2013) · EMBO Molecular Medicine · doi:10.1002/emmm.201201974 · Cited by 474 · see citing works
MicroRNA expression in the adult mouse central nervous system
Bak, M., Silahtaroglu, A., Møller, M., Christensen, M., Rath, M. F., Skryabin, B., Tommerup, N., & Kauppinen, S. (2008) · RNA · doi:10.1261/rna.783108 · Cited by 463 · see citing works
What, If Anything, Is Rodent Prefrontal Cortex?
Laubach, M., Amarante, L. M., Swanson, K., & White, S. R. (2018) · eNeuro · doi:10.1523/eneuro.0315-18.2018 · Cited by 449 · see citing works
MicroRNA regulation of Alzheimer's Amyloid precursor protein expression
Hébert, S. S., Horré, K., Nicolaï, L., Bergmans, B., Papadopoulou, A. S., Delacourte, A., & De Strooper, B. (2009) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.11.009 · Cited by 436 · see citing works
Cardoso, A. L., Guedes, J. R., Pereira de Almeida, L., & Pedroso de Lima, M. C. (2012) · Immunology · doi:10.1111/j.1365-2567.2011.03514.x · Cited by 336 · see citing works
microRNA-9 regulates axon extension and branching by targeting Map1b in mouse cortical neurons
Dajas‐Bailador, F., Bonev, B., Garcez, P. P., Stanley, P., Guillemot, F., & Papalopulu, N. (2012) · Nature Neuroscience · doi:10.1038/nn.3082 · Cited by 270 · see citing works
miR-146 and miR-155: Two Key Modulators of Immune Response and Tumor Development
Testa, U., Pelosi, E., Castelli, G., & Labbaye, C. (2017) · Non-Coding RNA · doi:10.3390/ncrna3030022 · Cited by 270 · see citing works
Atlas of the aging mouse brain reveals white matter as vulnerable foci
Hahn, O., Foltz, A. G., Atkins, M., Kedir, B., Moran-Losada, P., Guldner, I. H., Munson, C., Kern, F., Pálovics, R., Lu, N., et al. (2023) · Cell · doi:10.1016/j.cell.2023.07.027 · Cited by 213 · see citing works
Self-citationmiRTargetLink 2.0—interactive miRNA target gene and target pathway networks
Kern, F., Aparicio-Puerta, E., Li, Y., Fehlmann, T., Kehl, T., Wagner, V., Ray, K., Ludwig, N., Lenhof, H.-P., Meese, E., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab297 · Cited by 203 · see citing works
Self-citationmiEAA: microRNA enrichment analysis and annotation
Backes, C., Khaleeq, Q. T., Meese, E. U., & Keller, A. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw345 · Cited by 178 · see citing works
Self-citationAssessing cognitive decline in the aging brain: lessons from rodent and human studies
Brito, D. V. C., Esteves, F., Rajado, A. T., Silva, N., ALFA score Consortium, Andrade, R., Apolónio, J., Calado, S., Faleiro, L., Matos, C., et al. (2023) · npj Aging · doi:10.1038/s41514-023-00120-6 · Cited by 177 · see citing works
Guo, Y.-W., Hong, W., Wang, X., Zhang, P., Körner, H., Tu, J., & Wei, W. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00125 · Cited by 151 · see citing works
Novel MicroRNAs Differentially Expressed during Aging in the Mouse Brain
Inukai, S., de Lencastre, A., Turner, M., & Slack, F. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040028 · Cited by 147 · see citing works
miR-1, miR-10b, miR-155, and miR-191 are novel regulators of BDNF
Varendi, K., Kumar, A., Härma, M.-A., & Andressoo, J.-O. (2014) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-014-1628-x · Cited by 144 · see citing works
Wahl, D., Solon‐Biet, S. M., Wang, Q., Wali, J. A., Pulpitel, T., Clark, X., Raubenheimer, D., Senior, A. M., Sinclair, D. A., Cooney, G. J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.070 · Cited by 135 · see citing works
Yin, Z., Herron, S., Silveira, S., Kleemann, K., Gauthier, C., Mallah, D., Cheng, Y., Margeta, M. A., Pitts, K. M., Barry, J.-L., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01355-y · Cited by 120 · see citing works
The Brain-Enriched MicroRNA miR-9-3p Regulates Synaptic Plasticity and Memory
Sim, S.-E., Lim, C.-S., Kim, J.-I., Seo, D., Chun, H., Yu, N.-K., Lee, J., Kang, S. J., Ko, H.-G., Choi, J.-H., et al. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0630-16.2016 · Cited by 116 · see citing works
miEAA 2023: updates, new functional microRNA sets and improved enrichment visualizations
Aparicio‐Puerta, E., Hirsch, P., Schmartz, G. P., Kern, F., Fehlmann, T., & Keller, A. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad392 · Cited by 110 · see citing works
Self-citationMicroRNAs and the Genetic Network in Aging
Inukai, S., & Slack, F. J. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.01.023 · Cited by 99 · see citing works
MicroRNA Profiling Reveals Marker of Motor Neuron Disease in ALS Models
Hoye, M. L., Koval, E. D., Wegener, A. J., Hyman, T. S., Yang, C., O'Brien, D. R., Miller, R. L., Cole, T., Schoch, K. M., Shen, T., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3582-16.2017 · Cited by 82 · see citing works
Shaheen, N., Shaheen, A., Osama, M., Nashwan, A. J., Bharmauria, V., & Flouty, O. E. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00791-2 · Cited by 77 · see citing works
Yang, Z., Zhong, L., Zhong, S., Xian, R., & Yuan, B. (2015) · Molecular Immunology · doi:10.1016/j.molimm.2015.01.019 · Cited by 75 · see citing works
Studying micro RNA Function and Dysfunction in Alzheimer’s Disease
Lukiw, W. J., Андреева, Т. В., Grigorenko, A. P., & Rogaev, E. I. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2012.00327 · Cited by 75 · see citing works
Juhila, J., Sipilä, T., Icay, K., Nicorici, D., Ellonen, P., Kallio, A., Korpelainen, E., Greco, D., & Hovatta, I. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021495 · Cited by 73 · see citing works
Rayaprolu, S., Gao, T., Xiao, H., Ramesha, S., Weinstock, L. D., Shah, J., Duong, D. M., Dammer, E. B., Webster, J. A., Lah, J. J., et al. (2019) · doi:10.1101/802694 · Cited by 71 · see citing works
Wagner, V., Kern, F., Hahn, O., Schaum, N., Ludwig, N., Fehlmann, T., Engel, A., Henn, D., Rishik, S., Isakova, A., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01751-6 · Cited by 71 · see citing works
Self-citationDanka Mohammed, C. P., Park, J. S., Nam, H. G., & Kim, K. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2017.01.007 · Cited by 68 · see citing works
Global and tissue-specific aging effects on murine proteomes
Keele, G. R., Zhang, J., Szpyt, J., Korstanje, R., Gygi, S. P., Churchill, G. A., & Schweppe, D. K. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112715 · Cited by 63 · see citing works
miRMaster 2.0: multi-species non-coding RNA sequencing analyses at scale
Fehlmann, T., Kern, F., Laham, O., Backes, C., Solomon, J., Hirsch, P., Volz, C., Müller, R., & Keller, A. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab268 · Cited by 59 · see citing works
Self-citationComputation of significance scores of unweighted Gene Set Enrichment Analyses
Keller, A., Backes, C., & Lenhof, H. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-290 · Cited by 54 · see citing works
Self-citationBrain regions vulnerable and resistant to aging without Alzheimer’s disease
Feng, X., Guo, J., Sigmon, H. C., Sloan, R. P., Brickman, A. M., Provenzano, F. A., Small, S. A., & Initiative, A. D. N. (2020) · PLoS ONE · doi:10.1371/journal.pone.0234255 · Cited by 48 · see citing works
Aloi, M. S., Prater, K. E., Sánchez, R. E. A., Beck, A., Pathan, J. L., Davidson, S., Wilson, A., Keene, C. D., de la Iglesia, H., Jayadev, S., et al. (2023) · Journal of Neuroinflammation · doi:10.1186/s12974-023-02745-6 · Cited by 43 · see citing works
Pomper, N., Liu, Y., Hoye, M. L., Dougherty, J. D., & Miller, T. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-61307-5 · Cited by 39 · see citing works
miR-200 family controls late steps of postnatal forebrain neurogenesis via Zeb2 inhibition
Beclin, C., Follert, P., Stappers, E., Barral, S., Coré, N., de Chevigny, A., Magnone, V., Lebrigand, K., Bissels, U., Huylebroeck, D., et al. (2016) · Scientific Reports · doi:10.1038/srep35729 · Cited by 39 · see citing works
Evolution and Complexity of Micro RNA in the Human Brain
Lukiw, W. J. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00166 · Cited by 37 · see citing works
miR-29 is an important driver of aging-related phenotypes
Swahari, V., Nakamura, A., Hollville, É., Hung, Y.-H., Kanke, M., Kurtz, C. L., Caravia, X. M., Roiz‐Valle, D., He, S., Krishnamurthy, J., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06735-z · Cited by 36 · see citing works
Wu, J., Li, H., He, J., Tian, X., Luo, S., Li, J., Li, W., Zhong, J., Zhang, H., Huang, Z., et al. (2021) · Cell Death and Disease · doi:10.1038/s41419-020-03329-5 · Cited by 34 · see citing works
Hart, M., Diener, C., Rheinheimer, S., Kehl, T., Keller, A., Lenhof, H., & Meese, E. U. (2025) · RNA Biology · doi:10.1080/15476286.2025.2449775 · Cited by 34 · see citing works
Self-citationPérez, R. F., Tezanos, P., Peñarroya, A., González-Ramón, A., Urdinguio, R. G., Gancedo-Verdejo, J., Tejedor, J. R., Santamarina‐Ojeda, P., Alba‐Linares, J. J., Sainz‐Ledo, L., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49608-z · Cited by 32 · see citing works
Wong, J. E., Cao, J., Dorris, D. M., & Meitzen, J. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1158-9 · Cited by 29 · see citing works
The intricacies of isomiRs: from classification to clinical relevance
Wagner, V., Meese, E. U., & Keller, A. (2024) · Trends in Genetics · doi:10.1016/j.tig.2024.05.007 · Cited by 29 · see citing works
Self-citationA high-resolution map of the human small non-coding transcriptome
Fehlmann, T., Backes, C., Alles, J., Fischer, U., Hart, M., Kern, F., Langseth, H., Rounge, T., Umu, S. U., Kahraman, M., et al. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx814 · Cited by 26 · see citing works
Self-citationZhao, L., Zhang, L., Zhu, W., Chen, H., Ding, Y., & Cui, G. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113190 · Cited by 26 · see citing works
miR-203, fine-tunning neuroinflammation by juggling different components of NF‐κB signaling
Li, S., Li, L., Li, J., Liang, X., Song, C., & Zou, Y. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02451-9 · Cited by 23 · see citing works
Cholino‐ncRNAs modulate sex‐specific‐ and age‐related acetylcholine signals
Madrer, N., & Soreq, H. (2020) · FEBS Letters · doi:10.1002/1873-3468.13789 · Cited by 20 · see citing works
MicroRNAs: Possible Regulatory Molecular Switch Controlling the BBB Microenvironment
Chakraborty, C., Sharma, A. R., Sharma, G., Bhattacharya, M., & Lee, S. (2020) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.12.024 · Cited by 18 · see citing works
Trontti, K., Väänänen, J., Sipilä, T., Greco, D., & Hovatta, I. (2018) · RNA · doi:10.1261/rna.064881.117 · Cited by 17 · see citing works
Thompson, J. W., Hu, R., Huffaker, T. B., Ramstead, A. G., Ekiz, H. A., Bauer, K. M., Tang, W. W., Ghazaryan, A., Round, J. L., Fujinami, R. S., et al. (2023) · The Journal of Immunology · doi:10.4049/jimmunol.2200478 · Cited by 15 · see citing works
Walsh, A. D., Stone, S., Freytag, S., Aprico, A., Kilpatrick, T. J., Ansell, B. R. E., & Binder, M. D. (2023) · Communications Biology · doi:10.1038/s42003-023-04926-8 · Cited by 9 · see citing works
<Bushel@Niehs.Nih.Gov>, P. B. (2017) · NCI BioConductor · doi:10.18129/b9.bioc.pvca · Cited by 8 · see citing works
Béclin, C., Follert, P., Stappers, E., Barral, S., Coré, N., de Chevigny, A., Magnone, V., Lebrigand, K., Bissels, U., Huylebroeck, D., et al. (2016) · Scientific Reports · doi:10.1038/srep39368 · Cited by 6 · see citing works
LaraMangravite (2016) · Synapse · doi:10.7303/syn3219045 · Cited by 4 · see citing works
CCB-SB/2024_brain_aging_miRNA: 2024_brain_aging_miRNA
CCB-SB (2025) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.15211021 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Grandke, F., Rishik, S., Wagner, V., Engel, A., Ludwig, N., Calcuttawala, K., Kern, F., Keller, V., Krawczyk, M., Stodieck, L., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68737-1 · Cited by 5 · see citing works
Self-citationGizowski, C., Popova, G., Shin, H., Mader, M. M.-D., Craft, W., Kong, W., Shibuya, Y., Wranik, B. J., Fu, Y. H. H., Depp, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.02.673859 · Cited by 4 · see citing works
Self-citationVillalba‐Benito, L., Mathoux, J., Auer, T., Narasimhan, K., Colbert, R., Reynolds, J. R., Brindley, E., Batool, A., Hill, T. D. M., Diviney, M., et al. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107284 · Cited by 2 · see citing works
DYRK1A and Parkinson’s disease, facts and hypotheses
Meijer, L., Lindberg, M. F., Hogrel, G., & Khor, B. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107379 · Cited by 2 · see citing works
Low-Dose Radiation-Induced Expression of Exosomal miRNAs in the Serum of Medical Radiation Workers
Wang, P., Wei, L., Gao, Y., Niu, X., Li, J., Du, S., Cheng, Y., Zhang, Y., Fang, S., Li, X., et al. (2026) · Dose-Response · doi:10.1177/15593258261488713 · Cited by 1 · see citing works
Multiomic Integration Reveals Novel miRNA–mRNA–Protein Expression Profile in the Aged Female Retina
Bariesheff, N. W., Wooff, Y., Blackmore, D. G., & Cioanca, A. V. (2026) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.67.11.37 · Cited by 1 · see citing works
RNALens: Study on 5’ UTR Modeling and Cell-Specificity
Mao, L., Tian, Y., Qian, K.-W., & Song, Y. (2025) · doi:10.1101/2025.07.20.665722 · Cited by 1 · see citing works
Human brain microRNAs exhibit cell-type specificity and age dependence
Dubnov, S., Laski, L., Zchut, I., Avidan, O., Bennett, E. R., Greenberg, D. S., Turjeman, A., Nitzan, M., Paldor, I., & Soreq, H. (2026) · doi:10.64898/2026.01.04.697535
Aging Rhesus Macaque show tissue and sex-specific balance of drifting and coordinated miRNA programsPreprint
Rishik, S., Nutma, E., Ludwig, N., Fischer, U., Tänzer, T., Rheinheimer, S., Hart, M., Gröger, L., Meerjanssen, J., Flotho, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.27.720577
Self-citationRecent advances in microRNA-based nanosystems for disease management: From design to applications
Gong, Y., & Dong, H. (2026) · Chinese Chemical Letters · doi:10.1016/j.cclet.2026.112900
tRNA-derived fragments are elevated in the aging brain and may contribute to neurodegenerationPreprint
Nguyen, L. D., Kobayashi, A., Ndayisaba, A., Khurana, V., Ivanov, P., & Krichevsky, A. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.15.725455
A microRNA atlas of the human prefrontal cortex across the adult lifespanPreprint
Valenzuela-Arzeta, I. E., Yeganeh, P. N., Rai, A., Banahan, J., Iatrou, A., Sejour, L., Uyemura, M. M., Solomon, I. H., Daskalakis, N. P., Vlachos, I., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.27.728239
Richter, K., Markmann, H., Kaps, P., Wolff, A., Simm, S., Dubinski, D., Gessler, F. A., Freiman, T. M., Kirschstein, T., Junghanss, C., et al. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01750-6
Zhang, Y., Zhan, Y., Wu, H., Huang, W., & Du, J. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1873599
Recent advances in brain aging and epigenetics
Hong-Da, L. I. U., ZHANG, J., & Qiang, L. I. U. (2026) · Shengming kexue · doi:10.3724/cbls.2026086
Dzigurski, S., Al-Abri, R., Li, X., Grasty, M. R., Rodrigues, A. C., Weed, M. R., Elsworth, J. D., Lawrence, M. S., Heng, Y. J., Bogsan, C. S. B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.07.743104
Beganovic, A., Flotho, M., Li, J., Guldner, I. H., Reich, M., Wahl, V., Graf, S., Donate, P., Rishik, S., Dashdorj, E. D., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.03.745468
Self-citationQu, J., Yang, J., Li, W., Zeng, X., He, X., Guo, H., Lu, J., Jiang, X., Zhuang, X., Qian, C., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.08.022
- Authors
- Engel, A., Wagner, V., Hahn, O., Foltz, A. G., Atkins, M., Beganovic, A., Guldner, I. H., Lu, N., Saksena, A., Fischer, U., Ludwig, N., Meese, E., Wyss-Coray, T., & Keller, A.
- Affiliations
- Saarland University (DE)
- Stanford Medicine (US)
- Helmholtz Institute for Pharmaceutical Research Saarland (DE)
- Corresponding author
- Keller, Andreas
- ORCID
- Venue
- Nature Communications
- Published
- 2025-05-17
- Volume
- 16
- Issue
- 1
- Pages
- 4588-4588
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC12085673
- OpenAlex
- W4410455182
- Cited by
- 18
- References
- 72
- Citations by year
- 2026: 16 · 2025: 2
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Michael J. Fox Foundation for Parkinson's Research (MJFF-021418)
- American Heart Association (23BHCICG1188316)
- Georgetown University
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft (469073465)
- Universität des Saarlandes
- National Institutes of Health (1k99ag088304-01, 5k99ag088304-02)
- Centro Nacional de Biotecnología
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- microRNA expression, brain aging, microglia, miR-155-5p, miR-146a, sex differences, brain region-specific expression, mTOR signaling, cognitive decline, aging interventions, mouse lifespan
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 2026-11-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-06.
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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