Evidence map›Paper›PMID 41006893›Full record

ArticleJournal of racial and ethnic health disparities2025

Comparative Analysis of White and African American Groups Reveals Unique Lipid and Inflammatory Features of Diabetes.

Gabriela Pacheco Sanchez, Miranda Lopez, Leandro M Velez, Ian Tamburini, Naveena Ujagar, Julio Ayala Angulo, Gabriela De Robles, Hannah Choi, John Arriola, Rubina Kapadia and 5 more

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2025. 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

15 authors.

Gabriela Pacheco Sanchez *Department of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-0394-0589
Miranda Lopez *Department of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
Leandro M VelezDepartment of Biological Chemistry, and Center for Epigenetics and Metabolism, School of Medicine, University of California, Irvine, CA, USA.
Ian TamburiniDepartment of Biological Chemistry, and Center for Epigenetics and Metabolism, School of Medicine, University of California, Irvine, CA, USA.
Naveena UjagarDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
Julio Ayala AnguloDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
Gabriela De RoblesDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
Hannah ChoiDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
John ArriolaDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
Rubina KapadiaDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA.
Alan B ZondermanThe Laboratory of Epidemiology and Population Sciences, National Institute On Aging, National Institutes of Health, Maryland, USA.
Michele K EvansThe Laboratory of Epidemiology and Population Sciences, National Institute On Aging, National Institutes of Health, Maryland, USA.
Cholsoon JangDepartment of Biological Chemistry, and Center for Epigenetics and Metabolism, School of Medicine, University of California, Irvine, CA, USA.
Marcus M SeldinDepartment of Biological Chemistry, and Center for Epigenetics and Metabolism, School of Medicine, University of California, Irvine, CA, USA.
Dequina A NicholasDepartment of Molecular Biology and Biochemistry, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, USA. dequinaa@uci.edu.ORCID http://orcid.org/0000-0003-4996-2190

Funding

Sex Differences in lipid antigen presentation, impact of lipid antigen presentation on peripheral lipid metabolismDP2AI171121 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Dequina Angelina Nicholas · 2022 to 2026
$2.8M
Impact of aging on human B cell vaccine responsesU01AI180164 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Dequina Angelina Nicholas, Dorota Skowronska-Krawczyk · 2024 to 2026
$1.7M
NIAID NIH HHS DP2 AI171121NIAID NIH HHS U01 AI180164NIDDK NIH HHS U24DK132746-01NIDDK NIH HHS UCLA LIFT-UP (Leveraging Institutional support for TalentedNIDDK NIH HHS Underrepresented Physicians and/or Scientists)NIH HHS DP2AI171121
6 · The paper itself

Abstract

Diabetes is a metabolic and inflammatory disease that disproportionately affects African American populations, yet clinical diagnostics often rely on biomarkers discovered and validated predominantly in White cohorts. This study investigates race-specific lipid and inflammatory features of diabetes to uncover biologically distinct disease signatures that may contribute to disparities in diagnosis and management. We analyzed clinical parameters from a well-matched subset of the HANDLS cohort (N = 40) and conducted targeted plasma lipidomics and multiplex cytokine profiling across African American and White individuals from the HANDLS cohort with and without diabetes. Then we validated key findings using a large and diverse cohort of African American and White individuals with type 2 diabetes from the NIH AllofUs program (N = 17,339). Our results reveal racially divergent signatures of diabetes. White individuals with diabetes exhibited elevated Cholesterol:HDL ratios, triglycerides, and classical inflammatory markers such as hs-CRP. In contrast, African American individuals with diabetes displayed minimal lipid elevations but showed increased Th17-related cytokines1. These differences were independent of statin use, age, and body mass index. Additionally, correlations between lipid to cytokine ratios and the glycemic marker hemoglobin A1C differed sharply by race, suggesting that the pathophysiology of diabetes is not uniform across populations. Our findings challenge standard diabetes biomarkers and emphasize the need for more inclusive diagnostic frameworks. By identifying population-specific biological patterns of diabetes, this study provides important insight into the roots of persistent health disparities and underscores the value of precision approaches to equitable diabetes care.

Indexed as

DiabetesHealth disparitiesInflammationLipidomics

Identifiers

PMID41006893
PMCPMC13097115

What Socratic 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 Socratic graph.