Evidence map›Paper›PMID 39281745›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans.

Pik Fang Kho, Laurel Stell, Shirin Jimenez, Daniela Zanetti, Daniel J Panyard, Kathleen L Watson, Ashish Sarraju, Ming-Li Chen, Lars Lind, John R Petrie and 7 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Pik Fang KhoDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Laurel StellDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.ORCID 0000-0003-2971-4317
Shirin JimenezDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Daniela ZanettiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Daniel J PanyardDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-5480-4803
Kathleen L WatsonDepartment of Psychiatry, Stanford University School of Medicine, Stanford, CA, USA.
Ashish SarrajuDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Ming-Li ChenDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
John R PetrieSchool of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Khin N ChanVA Palo Alto Healthcare System, Palo Alto, CA, USA.
Holly FondaVA Palo Alto Healthcare System, Palo Alto, CA, USA.
Kyla KentVA Palo Alto Healthcare System, Palo Alto, CA, USA.
Jonathan N MyersDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Latha PalaniappanDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Fahim AbbasiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Themistocles L AssimesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-2349-0009

Funding

Determinants of Insulin Mediated Glucose uptake in South AsiansK23DK088942 · NIDDK · STANFORD UNIVERSITY · PI ASSIMES, THEMISTOCLES LEONARD · 2011 to 2014
$724k
NIDDK NIH HHS K23 DK088942
6 · The paper itself

Abstract

Objective: South Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between 'gold standard' measures of adiposity, fitness, selected proteomic biomarkers, and insulin sensitivity among a cohort of SAs and Europeans (EURs). Methods: A total of 46 SAs and 41 EURs completed 'conventional' (lifestyle questionnaires, standard physical exam) as well as 'gold standard' (dual energy X-ray absorptiometry scan, cardiopulmonary exercise test, and insulin suppression test) assessments of adiposity, fitness, and insulin sensitivity. In a subset of 28 SAs and 36 EURs, we also measured the blood-levels of eleven IR-related proteins. We conducted Spearman correlation to identify correlates of steady-state plasma glucose (SSPG) derived from the insulin suppression test, followed by multivariable linear regression analyses of SSPG, adjusting for age, sex and ancestral group. Results: Sixteen of 30 measures significantly associated with SSPG, including one conventional and eight gold standard measures of adiposity, one conventional and one gold standard measure of fitness, and five proteins. Multivariable regressions revealed that gold standard measures and plasma proteins attenuated ancestral group differences in IR, suggesting their potential utility in assessing IR, especially among SAs. Conclusion: Ancestral group differences in IR may be explained by accurate measures of adiposity and fitness, with specific proteins possibly serving as useful surrogates for these measures, particularly for SAs.

Identifiers

PMID39281745
PMCPMC11398600

What Socratic holds

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LicenceCC BY
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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 Socratic graph.