Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 17

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

MicroRNA signatures in genetic frontotemporal dementia and amyotrophic lateral sclerosis

Kmetzsch, Virgilio, Latouche, Morwena, Saracino, Dario, Rinaldi, Daisy, Camuzat, Agnès, Gareau, Thomas, the French Research Network on FTD/ALS, Le Ber, Isabelle, Colliot, Olivier, Becker, Emmanuelle·2022·Annals of Clinical and Translational Neurology

Abstract

Objective: MicroRNAs are promising biomarkers of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), but discrepant results between studies have so far hampered their use in clinical trials. We aim to assess all previously identified circulating microRNA signatures as potential biomarkers of genetic FTD and/or ALS, using homogeneous, independent validation cohorts of C9orf72 and GRN mutation carriers. Methods: 104 individuals carrying a C9orf72 or a GRN mutation, along with 31 controls, were recruited through the French research network on FTD/ALS. All subjects underwent blood sampling, from which circulating microRNAs were extracted. We measured differences in the expression levels of 65 microRNAs, selected from 15 published studies about FTD or ALS, between 31 controls, 17 C9orf72 presymptomatic subjects, and 29 C9orf72 patients. We also assessed differences in the expression levels of 30 microRNAs, selected from five studies about FTD, between 31 controls, 30 GRN presymptomatic subjects, and 28 GRN patients. Results: More than half (35/65) of the selected microRNAs were differentially expressed in the C9orf72 cohort, while only a small proportion (5/30) of microRNAs were differentially expressed in the GRN cohort. In multivariate analyses, only individuals in the C9orf72 cohort could be adequately classified (ROC AUC up to 0.98 for controls versus presymptomatic subjects, 0.94 for controls versus patients, and 0.77 for presymptomatic subjects versus patients) with some of the signatures. Interpretation: Our results suggest that previously identified microRNAs using sporadic or mixed cohorts of FTD and ALS patients could potentially serve as biomarkers of C9orf72‐associated disease, but not GRN‐associated disease.

Overview

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

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

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

Integrity signals

Registry

Crossref · 10.1002/acn3.51674

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Area under the ROC curve results when classifying groups from the C9orf72 cohort. The solid circles indicate the areas under the ROC curves obtained for each pairwise comparison using 18 different miRNA signatures. The whiskers denote empirical 90% confidence intervals obtained with 2000 bootstrap samples.
Figure 1 Area under the ROC curve results when classifying groups from the C9orf72 cohort. The solid circles indicate the areas under the ROC curves obtained for each pairwise comparison using 18 different miRNA signatures. The whiskers denote empirical 90% confidence intervals obtained with 2000 bootstrap samples.CC BY-NC-ND · PubMed Central
Figure 2 Area under the ROC curve results when classifying groups from the GRN cohort. The solid circles indicate the areas under the ROC curves obtained for each pairwise comparison using seven different miRNA signatures. The whiskers denote empirical 90% confidence intervals obtained with 2000 bootstrap samples.
Figure 2 Area under the ROC curve results when classifying groups from the GRN cohort. The solid circles indicate the areas under the ROC curves obtained for each pairwise comparison using seven different miRNA signatures. The whiskers denote empirical 90% confidence intervals obtained with 2000 bootstrap samples.CC BY-NC-ND · PubMed Central

Verification

Claims the paper makes

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

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

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

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

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

Citations

Cites

Show all 44 references

Cited by

See all 17

Metadata

Authors
Kmetzsch, V., Latouche, M., Saracino, D., Rinaldi, D., Camuzat, A., Gareau, T., the French Research Network on FTD/ALS, Le Ber, I., Colliot, O., & Becker, E.
Affiliations
  • Sorbonne Université, Institut du Cerveau – Paris Brain Institute – ICM, CNRS, Inria, Inserm AP‐HP, Hôpital de la Pitié Salpêtrière F‐75013 Paris France
  • Sorbonne Université, Institut du Cerveau – Paris Brain Institute – ICM, CNRS, Inserm AP‐HP, Hôpital de la Pitié Salpêtrière F‐75013 Paris France
  • Univ Rennes, Inria, CNRS, IRISA F‐35000 Rennes France
Venue
Annals of Clinical and Translational Neurology
Publisher
Wiley
Published
2022-10-20
Volume
9
Issue
11
Pages
1778-1791
ISSN
2328-9503
Cited by
17
References
44
Language
en
Funders
  • Agence Nationale de la Recherche (ANR‐10‐IAIHU‐06, ANR‐11‐INSB‐0013, ANR‐14‐CE15‐0016‐07, ANR‐19‐P3IA‐0001)
  • Fondation Plan Alzheimer
  • Fondation Vaincre Alzheimer (FR‐17035)
  • Institut Français de Bioinformatique

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MicroRNA signatures in genetic frontotemporal dementia and amyotrophic lateral sclerosis. https://app.cochat.ai/papers/10.1002/acn3.51674
The paper
Kmetzsch, V., Latouche, M., Saracino, D., Rinaldi, D., Camuzat, A., Gareau, T., the French Research Network on FTD/ALS, Le Ber, I., Colliot, O., & Becker, E. (2022). MicroRNA signatures in genetic frontotemporal dementia and amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. https://doi.org/10.1002/acn3.51674

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.