Inflammation and dyslipidaemia in combined diabetes and tuberculosis; a cohort study

Diabetes mellitus (DM) increases tuberculosis (TB) susceptibility and worsens outcomes. Since inflammation and lipid metabolism are implicated in both diseases, we examined if combined TB and DM (TB-DM) increases inflammation or dyslipidaemia. In plasma from individuals with DM (<i>n</i> = 96), TB (<i>n</i> = 93), and TB-DM (<i>n</i> = 91), we measured 92 inflammatory proteins and 250 primarily lipid-related metabolites, repeating measurements after two months of TB treatment. Inflammation was primarily driven by TB, but higher in TB-DM. In TB-DM, the proteins osteoprotegerin (OPG), signaling lymphocytic activation molecule (SLAMF1), adenosine deaminase (ADA), interleukin-10 receptor subunit beta (IL-10RB), and tumor necrosis factor receptor superfamily member 9 (TNFSR9) were differentially abundant, and IL-17A/C predicted treatment failure. Disease severity correlated with inflammation and dyslipidaemia. Inflammation decreased with TB treatment, both in TB and TB-DM. Dyslipidaemia was primarily driven by DM, but more pro-atherogenic in TB-DM, with elevated VLDL and apolipoprotein B (ApoB). Despite TB treatment, pro-atherogenicity persisted. Stronger inflammation and dyslipidaemia may account for worse disease outcomes in TB-DM and warrant further action to prevent cardiovascular events.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-05-27
DOI
https://doi.org/10.1016/j.isci.2025.112760
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inflammation and dyslipidaemia in combined diabetes and tuberculosis; a cohort study

Prayudi Santoso, Nanny Natalia Mulyani Soetedjo, Bachti Alisjahbana, Philip C. Hill et al.
2 citations
iScience
Tuberculosis Research and Epidemiology
2.79
article

Inflammation and dyslipidaemia in combined diabetes and tuberculosis; a cohort study

Prayudi Santoso, Nanny Natalia Mulyani Soetedjo, Bachti Alisjahbana, Philip C. Hill, Nicholas A. Sumpter, Mandala Ajie, Raspati Cundarani Koesoemadinata, Rovina Ruslami, Reinout van Crevel, J. Brake
article en
2 citations

Abstract

Diabetes mellitus (DM) increases tuberculosis (TB) susceptibility and worsens outcomes. Since inflammation and lipid metabolism are implicated in both diseases, we examined if combined TB and DM (TB-DM) increases inflammation or dyslipidaemia. In plasma from individuals with DM (<i>n</i> = 96), TB (<i>n</i> = 93), and TB-DM (<i>n</i> = 91), we measured 92 inflammatory proteins and 250 primarily lipid-related metabolites, repeating measurements after two months of TB treatment. Inflammation was primarily driven by TB, but higher in TB-DM. In TB-DM, the proteins osteoprotegerin (OPG), signaling lymphocytic activation molecule (SLAMF1), adenosine deaminase (ADA), interleukin-10 receptor subunit beta (IL-10RB), and tumor necrosis factor receptor superfamily member 9 (TNFSR9) were differentially abundant, and IL-17A/C predicted treatment failure. Disease severity correlated with inflammation and dyslipidaemia. Inflammation decreased with TB treatment, both in TB and TB-DM. Dyslipidaemia was primarily driven by DM, but more pro-atherogenic in TB-DM, with elevated VLDL and apolipoprotein B (ApoB). Despite TB treatment, pro-atherogenicity persisted. Stronger inflammation and dyslipidaemia may account for worse disease outcomes in TB-DM and warrant further action to prevent cardiovascular events.

iScienceVol. 28(6)
Radboud University Nijmegen (NL), Leiden University Medical Center (NL), Radboud University Medical Center (NL), University of Oxford (GB), Dr. Hasan Sadikin General Hospital (ID), McGill University (CA), University of Otago (NZ), Padjadjaran University (ID)
European Commission, Seventh Framework Programme, European and Developing Countries Clinical Trials Partnership
Good health and well-being
Openalex Percentile: Top 10%
Tuberculosis Research and Epidemiology
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.