Biomarkers of intestinal permeability are associated with inflammation in metabolically healthy obesity but not normal-weight obesity

Systemic inflammation is reported in normal-weight obesity (NWO) and metabolically healthy obesity (MHO), which may be linked to their increased cardiovascular disease (CVD) risk. Yet, drivers of this inflammation remain unclear. We characterized factors known to influence inflammatory status (i.e., intestinal permeability, adipose tissue, diet quality, microbiota), and their relationships with measured inflammation, in NWO and MHO, healthy control subjects (CON), and metabolically unhealthy obesity (MUO; <i>N</i> = 80; <i>n</i> = 20/group). Serum indicators of intestinal permeability and inflammation were assessed by ELISA and/or multiplex. Total, visceral, and percent body fat were measured with dual-energy X-ray absorptiometry (DXA). Fecal microbiota composition was assessed via 16S rRNA sequencing (<i>n</i> = 9-10/group). For C-reactive protein (CRP), MUO > NWO > CON (<i>P</i> < 0.0001). In MHO, CRP was intermediate and similar to both MUO and NWO. Lipopolysaccharide binding protein (LBP) and the ratio of LBP to soluble CD14 (sCD14) were higher in MHO and MUO vs. CON/NWO (<i>P</i> < 0.0001). Across correlation and regression analyses, LBP consistently displayed the strongest relationships with CRP in the entire sample (<i>r</i> = 0.78; β = 0.57; <i>P</i> < 0.0001) and in MHO (<i>r</i> = 0.74; <i>P</i> < 0.01) but not NWO (<i>r</i> = 0.37; <i>P</i> = 0.11). Shannon index was higher in CON compared with MUO (<i>P</i> < 0.05) and inversely correlated with CRP in the full sample (<i>r</i> = -0.37; <i>P</i> < 0.05). These data are consistent with the notion that intestinal permeability is associated with low-grade inflammation in MHO, which could be implicated in this population's reported CVD risk.<b>NEW & NOTEWORTHY</b> This is the first study to our knowledge to examine biomarkers of intestinal permeability in normal-weight obesity and one of few assessing microbiota compositions in this population. Additionally, we report that individuals with metabolically healthy obesity and metabolically unhealthy obesity displayed similar evidence of intestinal permeability, which was more strongly associated with systemic inflammation than total and visceral adipose tissue mass.

Authors

Institutions

Publication Details

Journal
American Journal of Physiology-Heart and Circulatory Physiology
Published
2024-08-30
DOI
https://doi.org/10.1152/ajpheart.00381.2024
Citations
7
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
Field-Weighted Citation Impact
2.71

Funders

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

Biomarkers of intestinal permeability are associated with inflammation in metabolically healthy obesity but not normal-weight obesity

Bryant H. Keirns, Austin R. Medlin, Jillian Joyce, Katherine A. Maki et al.
7 citations
American Journal of Physiology-Heart and Circulatory Physiology
Adipokines, Inflammation, and Metabolic Diseases
2.71
article

Biomarkers of intestinal permeability are associated with inflammation in metabolically healthy obesity but not normal-weight obesity

Bryant H. Keirns, Austin R. Medlin, Jillian Joyce, Katherine A. Maki, Christina M. Sciarrillo, Sam R. Emerson, Kristen McClanahan, Samantha M. Hart, Sarah E Fruit, Edralin A Lucas
article en
7 citations

Abstract

Systemic inflammation is reported in normal-weight obesity (NWO) and metabolically healthy obesity (MHO), which may be linked to their increased cardiovascular disease (CVD) risk. Yet, drivers of this inflammation remain unclear. We characterized factors known to influence inflammatory status (i.e., intestinal permeability, adipose tissue, diet quality, microbiota), and their relationships with measured inflammation, in NWO and MHO, healthy control subjects (CON), and metabolically unhealthy obesity (MUO; <i>N</i> = 80; <i>n</i> = 20/group). Serum indicators of intestinal permeability and inflammation were assessed by ELISA and/or multiplex. Total, visceral, and percent body fat were measured with dual-energy X-ray absorptiometry (DXA). Fecal microbiota composition was assessed via 16S rRNA sequencing (<i>n</i> = 9-10/group). For C-reactive protein (CRP), MUO > NWO > CON (<i>P</i> < 0.0001). In MHO, CRP was intermediate and similar to both MUO and NWO. Lipopolysaccharide binding protein (LBP) and the ratio of LBP to soluble CD14 (sCD14) were higher in MHO and MUO vs. CON/NWO (<i>P</i> < 0.0001). Across correlation and regression analyses, LBP consistently displayed the strongest relationships with CRP in the entire sample (<i>r</i> = 0.78; β = 0.57; <i>P</i> < 0.0001) and in MHO (<i>r</i> = 0.74; <i>P</i> < 0.01) but not NWO (<i>r</i> = 0.37; <i>P</i> = 0.11). Shannon index was higher in CON compared with MUO (<i>P</i> < 0.05) and inversely correlated with CRP in the full sample (<i>r</i> = -0.37; <i>P</i> < 0.05). These data are consistent with the notion that intestinal permeability is associated with low-grade inflammation in MHO, which could be implicated in this population's reported CVD risk.<b>NEW & NOTEWORTHY</b> This is the first study to our knowledge to examine biomarkers of intestinal permeability in normal-weight obesity and one of few assessing microbiota compositions in this population. Additionally, we report that individuals with metabolically healthy obesity and metabolically unhealthy obesity displayed similar evidence of intestinal permeability, which was more strongly associated with systemic inflammation than total and visceral adipose tissue mass.

American Journal of Physiology-Heart and Circulatory PhysiologyVol. 327(5)
Oklahoma State University (US), Indiana University Health (US), Ball State University (US), Indiana University Bloomington (US), Oklahoma State University Oklahoma City (US), National Institute on Minority Health and Health Disparities (US), Oklahoma State University at Tulsa (US), National Institutes of Health Clinical Center (US)
American Heart Association
Good health and well-being
Openalex Percentile: Top 9%
Adipokines, Inflammation, and Metabolic Diseases
2.71
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.