Evidence map›Paper›PMID 40644319›Full record

ArticleDiabetes2025

Lipidomic Signatures of Insulin Resistance Identified From Hyperinsulinemic-Euglycemic Clamp Studies in Asian Men.

Sartaj Ahmad Mir, Kothandaraman Narasimhan, Jayagowtham K Annadurai, Vaitheeswari, Shanshan Ji, David Cameron-Smith, Johan G Eriksson, Melvin Khee-Shing Leow, Markus R Wenk, Federico Torta and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, 2025. 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. 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

11 authors.

Sartaj Ahmad MirSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore.ORCID 0000-0001-6032-0936
Kothandaraman NarasimhanInstitute for Human Development and Potential, A*STAR, Singapore.
Jayagowtham K AnnaduraiMetabolic Core, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
VaitheeswariSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore.
Shanshan JiSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore.
David Cameron-SmithClinical Nutrition Research Center, Singapore Institute of Food and Biotechnology Innovations, A*STAR, Singapore.
Johan G ErikssonInstitute for Human Development and Potential, A*STAR, Singapore.
Melvin Khee-Shing LeowInstitute for Human Development and Potential, A*STAR, Singapore.
Markus R WenkSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore.
Federico TortaSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore.
Chin Meng KhooMetabolic Core, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0003-1601-2391

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

article highlightsThe underlying molecular pathogenesis of the Asian phenotype of insulin resistance remains to be understood. We carried out metabolic phenotyping of study participants without diabetes according to insulin sensitivity indices derived from hyperinsulinemic-euglycemic clamp procedures. We identified lipidomic signatures of insulin resistance and metabolic plasticity. These lipidomic signatures have the potential to help in risk stratification of insulin resistance and metabolic dysfunction for early intervention.

Indexed as

Insulin ResistanceLipidomicsAdultAsian PeopleGlucose Clamp TechniqueHumansMaleMiddle Aged

Identifiers

PMID40644319
PMCPMC12365417

What OpenQuestion holds

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Registered trials

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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.