Evidence map›Paper›PMID 37113148›Full record

ArticleFrontiers in neuroscience2023

Comparative

Vipin Chauhan, Nitin K Chauhan, Somit Dutta, Dhruv Pathak, Upendra Nongthomba

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

5 authors at 2 institutions in 1 country.

Vipin ChauhanDevelopmental and Biomedical Genetics Laboratory, Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Nitin K ChauhanSchool of Computational and Integrative Science, Jawaharlal Nehru University, New Delhi, India.
Somit DuttaDevelopmental and Biomedical Genetics Laboratory, Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Dhruv PathakDevelopmental and Biomedical Genetics Laboratory, Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Upendra NongthombaDevelopmental and Biomedical Genetics Laboratory, Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Indian Institute of Science Bangalore · INJawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A healthy gut flora contains a diverse and stable commensal group of microorganisms, whereas, in disease conditions, there is a shift toward pathogenic microbes, termed microbial dysbiosis. Many studies associate microbial dysbiosis with neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), Multiple sclerosis (MS), and Amyotrophic lateral sclerosis (ALS). Although, an overall comparative analysis of microbes and their metabolic involvement in these diseases is still lacking. In this study, we have performed a comparative analysis of microbial composition changes occurring in these four diseases. Our research showed a high resemblance of microbial dysbiosis signatures between AD, PD, and MS. However, ALS appeared dissimilar. The most common population of microbes to show an increase belonged to the phyla,

Indexed as

Alzheimer's diseaseAmyotrophic lateral sclerosismicrobial dysbiosisMultiple sclerosisneuro-immunomodulatory compoundneuroprotective compoundneurotransmitterParkinson's disease

Identifiers

PMID37113148
PMCPMC10126365
OpenAlexW4364380134

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.