Evidence map›Paper›PMID 39776539›Full record

ReviewGut microbiome (Cambridge, England)2024

Establishment and perturbation of human gut microbiome: common trends and variations between Indian and global populations.

Nisha Chandel, Anwesh Maile, Suyesh Shrivastava, Anil Kumar Verma, Vivek Thakur

Abstract readReview
In one paragraph

Review in Gut microbiome (Cambridge, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Nisha ChandelDepartment of Systems and Computational Biology, University of Hyderabad, Hyderabad, India.ORCID https://orcid.org/0009-0003-1248-5893
Anwesh MaileDBT-Centre for Microbial Informatics, University of Hyderabad, Hyderabad, India.
Suyesh ShrivastavaICMR-National Institute of Research in Tribal Health (NIRTH), Jabalpur, India.
Anil Kumar VermaICMR-National Institute of Research in Tribal Health (NIRTH), Jabalpur, India.
Vivek ThakurDepartment of Systems and Computational Biology, University of Hyderabad, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human gut microbial species are crucial for dietary metabolism and biosynthesis of micronutrients. Digested products are utilised by the host as well as several gut bacterial species. These species are influenced by various factors such as diet, age, geographical location, and ethnicity. India is home to the largest human population in the world. It is spread across diverse ecological and geographical locations. With variable dietary habits and lifestyles, Indians have unique gut microbial composition. This review captures contrasting and common trends of gut bacterial community establishment in infants (born through different modes of delivery), and how that bacterial community manifests itself along infancy, through old age between Indian and global populations. Because dysbiosis of the gut community structure is associated with various diseases, this review also highlights the common and unique bacterial species associated with various communicable as well as noncommunicable diseases such as diarrhoea, amoebiasis, malnutrition, type 2 diabetes, obesity, colorectal cancer, inflammatory bowel disease, and gut inflammation and damage to the brain in the global and Indian population.

Indexed as

communicable and noncommunicable diseasesdiet and lifestyledysbiosisgut microbiome developmenthuman gut microbiome

Identifiers

PMID39776539
PMCPMC11704572

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.