The Cross-Talk Between Obesity and Metabolism

A special issue of Cells (ISSN 2073-4409).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 834

Special Issue Editor

Augusta University, Medical College of Georgia, Department of Medicine, Augusta, GA 30912, USA
Interests: cardiovascular disease; metabolic syndrome; systemic lupus erythematosus

Special Issue Information

Dear Colleagues,

As Guest Editor, I am pleased to introduce this Special Issue dedicated to unraveling the complex interplay between obesity and metabolic disorders, which are two interconnected public health challenges driving the global burden of diseases such as type 2 diabetes, cardiovascular conditions, and certain cancers. The intricate biological mechanisms linking obesity to metabolic dysfunction are multifaceted and include dynamic interactions among adipose tissues, systemic inflammation, insulin resistance, and disruptions in lipid and glucose metabolism.

This Special Issue seeks to gather cutting-edge research that advances our understanding of the molecular, cellular, and systemic pathways underlying obesity-induced metabolic dysregulation. I encourage submissions from a diverse range of disciplines, including molecular biology, endocrinology, immunology, and metabolism, to provide a holistic perspective on how obesity and metabolic disturbances influence one another. I welcome cellular and molecular research and view that offers practical insights into the prevention, management, and treatment of obesity-related metabolic disorders.

I invite researchers to contribute original research, reviews, and perspectives that explore novel therapeutic targets, experimental models, highlighting the cross-talk between obesity and metabolism. Submissions should aim to push the boundaries of current knowledge, foster interdisciplinary dialogue, and inspire new avenues for research and practice. As Guest Editor, I am committed to ensuring a rigorous peer-review process and selecting high-quality contributions that will shape the scientific discourse on this critical topic.

Dr. Hong Shi
Guest Editor

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Keywords

  • obesity
  • metabolic disorders
  • insulin resistance
  • adipose tissue
  • inflammation
  • glucose metabolism
  • lipid metabolism
  • cardiovascular disease
  • type 2 diabetes
  • therapeutic targets

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Published Papers (1 paper)

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Research

13 pages, 1068 KB  
Article
Integrated Inflammatory Biomarker Profiling Differentiates Degrees of Body Mass Index Beyond Intestinal Barrier-Related Markers
by Theocharis Koufakis, Areti Kourti, Katerina Thsiadou, Paraskevi Karalazou, Ioannis Georgiadis, Dimitrios Patoulias, Djordje S. Popovic, Giuseppe Maltese, Alexander Kokkinos, Kalliopi Kotsa, Michael Doumas, Carel W. le Roux and Kali Makedou
Cells 2026, 15(9), 763; https://doi.org/10.3390/cells15090763 - 24 Apr 2026
Viewed by 393
Abstract
Obesity is characterized by low-grade systemic inflammation and alterations in gut-related immune pathways that may contribute to metabolic dysfunction. Composite biomarker indices may better capture these complex processes than individual markers, although their performance may differ across biological domains. In this cross-sectional study, [...] Read more.
Obesity is characterized by low-grade systemic inflammation and alterations in gut-related immune pathways that may contribute to metabolic dysfunction. Composite biomarker indices may better capture these complex processes than individual markers, although their performance may differ across biological domains. In this cross-sectional study, 88 adults without diabetes or infection were categorized as BMI < 25 kg/m2 (n = 20), BMI 25–29.9 kg/m2 (n = 34), or BMI ≥ 30 kg/m2 (n = 34). Circulating biomarkers reflecting systemic inflammation (high-sensitivity C-reactive protein, ferritin, interleukin-6, presepsin) and intestinal barrier-related activity (β-defensin-2, regenerating islet-derived protein 3 alpha) were measured and subsequently combined into two composite indices: the Inflammatory Load Index, derived from inflammatory markers, and the Barrier Activation Index, derived from barrier-related markers. Group differences were assessed using analysis of variance with post hoc testing. Additional analyses included effect size estimation, receiver operating characteristic (ROC) analysis, and logistic regression. Individual biomarkers showed limited differences across BMI categories. The Inflammatory Load Index differed significantly across BMI categories (p = 0.040), with higher values observed in individuals with BMI ≥ 30 kg/m2 compared with those with BMI 25–29.9 kg/m2 (p = 0.032; Cohen’s d = 0.80), while the Barrier Activation Index did not differ (p = 0.257). In ROC analysis, the Inflammatory Load Index discriminated BMI ≥ 30 kg/m2 with an area under the curve of 0.720 (95% confidence interval 0.576–0.851), yielding 77.8% sensitivity and 67.7% specificity. Each one standard deviation increase in the index was associated with higher odds of obesity (odds ratio 2.34, 95% confidence interval 1.22–4.49; p = 0.011). In conclusion, a composite inflammatory biomarker index, but not a barrier-related index, differentiates degrees of BMI in individuals without diabetes. These findings support integrated biomarker approaches for reflecting obesity-related biological burden beyond single markers. However, these observations are based on cross-sectional data and do not imply causality. Full article
(This article belongs to the Special Issue The Cross-Talk Between Obesity and Metabolism)
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