Evidence map›Paper›PMID 36458229›Full record

ReviewIndian journal of microbiology2022

Gut-Brain Axis, Neurodegeneration and Mental Health: A Personalized Medicine Perspective.

Alisha Chunduri, S Deepak Mohan Reddy, M Jahanavi, C Nagendranatha Reddy

Abstract readReview
In one paragraph

Review in Indian journal of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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

4 authors.

Alisha ChunduriDepartment of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana 500075 India.
S Deepak Mohan ReddyDepartment of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana 500075 India.
M JahanaviDepartment of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana 500075 India.
C Nagendranatha ReddyDepartment of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana 500075 India.ORCID 0000-0001-7836-5083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurological conditions such as neurodegenerative diseases and mental health disorders are a result of multifactorial underpinnings, leading to individual-based complex phenotypes. Demystification of these multifactorial connections will promote disease diagnosis and treatment. Personalized treatment rather than a one-size-fits-all approach would enable us to cater to the unmet healthcare needs based on protein-protein and gene-environment interactions. Gut-brain axis, as the name suggests, is a two-way biochemical communication pathway between the central nervous system (CNS) and enteric nervous system (ENS), enabling a mutual influence between brain and peripheral intestinal functions. The gut microbiota is a major component of this bidirectional communication, the composition of which is varied depending on the age, and disease conditions, among other factors. Gut microbiota profile is typically unique and personalized therapeutic intervention can aid in treating or delaying neurodegeneration and mental health conditions. Besides, research on the gut microbial influence on these conditions is gaining attention, and a better understanding of this concept can lead to identification of novel targeted therapies. Graphical Abstract:

Indexed as

Gut–brain axisGut microbiotaMental healthNeurodegenerationPersonalized medicine

Identifiers

PMID36458229
PMCPMC9705676

What OpenQuestion holds

Textmetadata
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.