Evidence map›Paper›PMID 39606342›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Cross-sectional, interventional, and causal investigation of insulin sensitivity using plasma proteomics in diverse populations.

Pik Fang Kho, Neil Wary, Daniela Zanetti, Fahim Abbasi, Joshua W Knowles, Daniel J Panyard, Katie T Watson, Laurel Stell, Laura C Lazzeroni, Stefan Gustafsson and 3 more

Abstract readPreprint
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. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Pik Fang KhoDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA.
Neil WaryDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA.
Daniela ZanettiInstitute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), Cagliari, Italy.
Fahim AbbasiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA.
Joshua W KnowlesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA.
Daniel J PanyardDepartment of Genetics, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0001-5480-4803
Katie T WatsonDepartment of Psychiatry, Stanford University School of Medicine.
Laurel StellDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0003-2971-4317
Laura C LazzeroniDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA.
Stefan GustafssonDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
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.
Themistocles L AssimesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0003-2349-0009

Funding

Proteomic determinants of direct measures of insulin sensitivityR01DK114183 · NIDDK · STANFORD UNIVERSITY · PI ASSIMES, THEMISTOCLES LEONARD · 2018 to 2022
$3.5M
Characterization of novel insulin resistance genes by gene editing, high-throughput phenotyping and in vivo studiesR01DK120565 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$3.2M
Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Molecular Mechanisms of Insulin Resistance Associated LociR01DK137889 · NIDDK · STANFORD UNIVERSITY · PI Joshua Wiley Knowles · 2024 to 2026
$1.8M
NIDDK NIH HHS R01 DK106236NIDDK NIH HHS R01 DK114183NIDDK NIH HHS R01 DK120565NIDDK NIH HHS R01 DK137889
6 · The paper itself

Abstract

Background: We previously reported significant correlations between a direct measure of insulin sensitivity (IS) and blood levels of proteins measured using the Proximity Extension Assay (PEA) in two European cohorts. However, protein correlations with IS within non-European populations, in response to short-term interventions that improve IS, and any causal associations with IS have not yet been established. Methods: We measured 1,470 proteins using the PEA in the plasma of 1,015 research participants at Stanford University who underwent one or more direct measures of IS. Association analyses were carried out with multivariable linear regression within and across Stanford subgroups and within each of the two European cohorts. Association statistics were also meta-analyzed after transformation and harmonization of the two direct measures of IS. Lastly, we performed genome-wide association studies of IS and used genetic instruments of plasma proteins from the UK Biobank to identify candidate causal proteins for IS through Mendelian Randomization (MR) analysis. Results: In age and sex adjusted model, 810 proteins were associated with baseline IS among 652 self-reported European participants in the Stanford cohort at a false discovery rate (FDR) < 0.05. Effect sizes for these proteins were highly correlated with those observed in 122 South Asian, 92 East Asian, 85 Hispanic, and 52 Black/African American persons (r= 0.68 to 0.83, all P≤4.3×10 Conclusion: Plasma proteins measured using the PEA provide a robust signature for IS across diverse populations and after short-term insulin sensitizing interventions highlighting their potential value as universal biomarkers of insulin resistance. A small subset of markers provided insights into potential causal molecular mechanisms and therapeutic targets.

Indexed as

causal inferenceInsulin sensitivityMendelian Randomizationplasma proteinthiazolidinedionesweight loss

Identifiers

PMID39606342
PMCPMC11601714

What Socratic holds

Textmetadata
LicenceCC BY-ND
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 Socratic graph.