Evidence map›Paper›PMID 35763080›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2022

Ethnic disparities attributed to the manifestation in and response to type 2 diabetes: insights from metabolomics.

Sampara Vasishta, Kailash Ganesh, Shashikiran Umakanth, Manjunath B Joshi

Open access · hybridAbstract readReview
In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
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  14. Change in Metabolic Markers and the Risk of Skin Cancer: Results from the Lifelines Cohort Study in the Netherlands.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  15. Review
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  18. Metabolomic heterogeneity of ageing with ethnic diversity: a step closer to healthy ageing.Metabolomics : Official journal of the Metabolomic Society · 2024
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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 at 1 institution in 1 country.

Sampara VasishtaDepartment of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, 576104, Manipal, India.
Kailash GaneshDepartment of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, 576104, Manipal, India.
Shashikiran UmakanthDepartment of Medicine, Dr. T.M.A. Pai Hospital, 576101, Udupi, India.
Manjunath B JoshiDepartment of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, 576104, Manipal, India. manjunath.joshi@manipal.edu.
Manipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) associated health disparities among different ethnicities have long been known. Ethnic variations also exist in T2D related comorbidities including insulin resistance, vascular complications and drug response. Genetic heterogeneity, dietary patterns, nutrient metabolism and gut microbiome composition attribute to ethnic disparities in both manifestation and progression of T2D. These factors differentially regulate the rate of metabolism and metabolic health. Metabolomics studies have indicated significant differences in carbohydrate, lipid and amino acid metabolism among ethnicities. Interestingly, genetic variations regulating lipid and amino acid metabolism might also contribute to inter-ethnic differences in T2D. Comprehensive and comparative metabolomics analysis between ethnicities might help to design personalized dietary regimen and newer therapeutic strategies. In the present review, we explore population based metabolomics data to identify inter-ethnic differences in metabolites and discuss how (a) genetic variations, (b) dietary patterns and (c) microbiome composition may attribute for such differences in T2D.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeAmino AcidsHumansLipidsMetabolomicsAmino AcidsLipidsDietEthnicitiesGeneticsMetabolomicsType 2 diabetes

Identifiers

PMID35763080
PMCPMC9239976
OpenAlexW4283641357

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.