Endocrinology and Metabolic Syndrome: Epidemiology

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Epidemiology".

Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 892

Special Issue Editors


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Guest Editor
Department of Endocrinology and Diabetology, Nicolaus Copernicus University in Torun, Collegium Medicum, Bydgoszcz, Poland
Interests: insulin resistance; metabolic syndrome; diabetes mellitus; hyperglycemia; thyroid diseases

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Guest Editor
Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, 9 Skłodowskiej-Curie Street, 85-094 Bydgoszcz, Poland
Interests: endocrinology; diabetology; obesity; liver; pancreas; genetics; laboratory diagnostics

Special Issue Information

Dear Colleagues,

Metabolic syndrome is a prevalent global health and societal issue, referring to an increased likelihood of cardiovascular events resulting from the concurrent presence of obesity and other factors, including hypertension, hyperglycemia, and dyslipidemia. All elements of metabolic syndrome could be perceived as being the result of an unhealthy lifestyle. It is important to note that metabolic syndrome can lead to significant consequences, such as endocrinopathies, impaired renal function, metabolic-associated fatty liver disease, heart failure, obstructive sleep apnea, polycystic ovary syndrome, hyperuricemia, sympathetic overactivity, and inflammation associated with insulin resistance.

For this Special Issue, we invite the submission of papers addressing the endocrine and epidemiological aspects of metabolic syndrome and its individual components, with a special focus on obesity, diabetes, hypertension, and dyslipidemia. The publication of this Special Issue and the interest that it will generate will raise awareness within the scientific community and the medical field regarding the widespread health issue known as metabolic syndrome.

Our preferred article types include original papers, as well as reviews and meta-analyses.

Dr. Roman Junik
Dr. Szymon Suwała
Guest Editors

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Keywords

  • metabolic syndrome
  • obesity
  • hypertension
  • diabetes
  • dyslipidemia
  • endocrinology

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Published Papers (1 paper)

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Research

24 pages, 1605 KB  
Article
Beyond HOMA-IR: Comparative Evaluation of Insulin Resistance and Anthropometric Indices Across Prediabetes and Type 2 Diabetes Mellitus in Metabolic Syndrome Patients
by Mohamed-Zakaria Assani, Lidia Boldeanu, Anda Lorena Dijmărescu, Daniel Cosmin Caragea, Ionela Mihaela Vladu, Diana Clenciu, Adina Mitrea, Alexandra-Ștefania Stroe-Ionescu, Mariana-Emilia Caragea, Isabela Siloși and Mihail Virgil Boldeanu
Life 2025, 15(12), 1845; https://doi.org/10.3390/life15121845 - 30 Nov 2025
Viewed by 653
Abstract
Insulin resistance is central in metabolic syndrome, but indices such as Homeostasis Model Assessment-estimated Insulin Resistance (HOMA-IR) require insulin assays that are costly and not always available. Non-insulin-based indices and refined anthropometric markers may offer simpler risk stratification in prediabetes and diabetes. Our [...] Read more.
Insulin resistance is central in metabolic syndrome, but indices such as Homeostasis Model Assessment-estimated Insulin Resistance (HOMA-IR) require insulin assays that are costly and not always available. Non-insulin-based indices and refined anthropometric markers may offer simpler risk stratification in prediabetes and diabetes. Our objective was to compare insulin and non-insulin-based indices of insulin resistance, together with advanced anthropometric and lipid markers, between prediabetes (PreDM) and type 2 diabetes (T2DM) and across hypertension grades in metabolic syndrome. We conducted a cross-sectional study in 200 adults with metabolic syndrome, 80 with PreDM and 120 with T2DM. Clinical, anthropometric and biochemical parameters were recorded, and HOMA-IR, Homeostasis Model Assessment of Beta-cell function (HOMA%B), Metabolic Score for Insulin Resistance (METS-IR), triglyceride to glucose index (TyG), triglyceride-to-glucose index to high-density lipoprotein cholesterol ratio (TyG/HDL-c) and other derived indices were calculated. Group comparisons, correlations and multiple linear regression were performed. Compared with PreDM, T2DM showed higher glycemic indices and inflammation, but similar body mass index (BMI) and triglycerides. Across glycemic categories and hypertension grades, METS-IR, TyG and TyG/HDL-c increased and correlated strongly with body roundness index (BRI), abdominal volume index (AVI) and weight-adjusted waist index (WWI), while HOMA-IR contributed little independent information. In regression models, lipid adipose product (LAP) and WWI best explained METS-IR in prediabetes, whereas TyG and BRI were the main determinants of METS-IR in diabetes. In metabolic syndrome with PreDM or T2DM, METS-IR and TyG, particularly combined with BRI, AVI and WWI, outperformed traditional lipid ratios and added value beyond HOMA-IR. These composite indices appear useful for insulin resistance assessment when insulin measurement is unavailable or unreliable. Full article
(This article belongs to the Special Issue Endocrinology and Metabolic Syndrome: Epidemiology)
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