Evidence map›Paper›PMID 34360568›Full record

ReviewInternational journal of molecular sciences2021

MicroRNAs, Multiple Sclerosis, and Depression.

Hsiuying Wang

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Depression and anxiety in multiple sclerosis. Review of a fatal combination.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. MicroRNAs in spinal cord injury: A narrative review.Frontiers in molecular neuroscience · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Molecular Research in Multiple Sclerosis.International journal of molecular sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Hsiuying WangInstitute of Statistics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.ORCID 0000-0002-5863-0756
National Yang Ming Chiao Tung University · TW

Funding

Ministry of Science and Technology, Taiwan 107-2118-M-009 -002 -MY2
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic disease of the central nervous system that affects the brain and spinal cord. There are several disease courses in MS including relapsing-remitting MS (RRMS), primary progressive MS (PPMS), and secondary progressive MS (SPMS). Up to 50% of MS patients experience depressive disorders. Major depression (MD) is a serious comorbidity of MS. Many dysfunctions including neuroinflammation, peripheral inflammation, gut dysbiosis, chronic oxidative and nitrosative stress, and neuroendocrine and mitochondrial abnormalities may contribute to the comorbidity between MS and MD. In addition to these actions, medical treatment and microRNA (miRNA) regulation may also be involved in the mechanisms of the comorbidity between MS and MD. In the study, I review many common miRNA biomarkers for both diseases. These common miRNA biomarkers may help further explore the association between MS and MD.

Indexed as

Gene Expression RegulationAnimalsDepressionHumansMicroRNAsMultiple SclerosisMicroRNAsbiomarkerdepressionmicroRNAmultiple sclerosistreatment

Identifiers

PMID34360568
PMCPMC8346048
OpenAlexW3186104490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.