Association between systemic immune inflammation index and adolescent obesity in a cross-sectional analysis

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 22, 2025

Abstract Obesity is a prevalent health issue among adolescents, characterized by chronic low-grade inflammation, which increases the risk of developing various diseases in future. The systemic immune-inflammation index (SII) serves as an indicator inflammation and immune response. This study conducted cross-sectional analysis using data from National Health Nutrition Examination Survey (NHANES) 2007 to 2016, including 5,676 participants. A multivariate logistic regression model, Generalized Additive Models (GAM), subgroup were used examine relationship between obesity SII. results revealed significant positive correlation log SII adolescent (1.254 [1.024–1.537]). Furthermore, increased with higher quartiles Subgroup interaction tests showed that this association persisted across factors, female gender, race (Non-Hispanic White Mexican American), non-hyperlipidemia, normal white blood cell count, PIR < 1. Additionally, U-shaped was observed, turning point at 6.410. findings suggest increase significantly associated adolescents. However, further validation through large-scale prospective studies needed.

Language: Английский

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Glutathione peroxidase 4 (GPX4) and obesity interact to impact tumor progression and treatment response in triple negative breast cancer

Cancer & Metabolism, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 25, 2025

Abstract Introduction Triple-negative breast cancer (TNBC), which tends to be more advanced when diagnosed and aggressive than other subtypes, is accelerated by obesity. Hypertrophic adipocytes cells exhibit increased oxidative stress altered redox homeostasis, influencing therapeutic outcomes. Enzymes implicated in both regulation TNBC include glutathione peroxidase 4 (GPX4; reduces lipid peroxides) pyruvate carboxylase (PC; essential protection). Using preclinical models, we characterized interactions between GPX4, PC, cells, established effects of GPX4 suppression on progression. In PC knockdown expression, while expression. inhibition erastin or RSL3 enhanced cell death vitro, antioxidants mitigated the cytotoxicity. obese mice, knockdown, versus scramble control: (i) reduced tumor burden following orthotopic transplantation cells; (ii) lung metastasis tail vein injection combination with chemotherapy (carboplatin) but not immunotherapy (anti-CTLA4 plus anti-PD1). We conclude that expression are inversely related obesity interact impact progression treatment responses. Moreover, GPX4-mediated defense, alone chemotherapy, a targetable vulnerability for treating TNBC, including obesity-related TNBC. Implication suppression, current therapies, impacts outcomes models without offers new, plausible mechanistic target treatment.

Language: Английский

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Obesity and micronutrient status predict inflammation and weaker immune function in Filipino schoolchildren

Published: Feb. 25, 2025

The study examined the association of nutritional status (i.e., anthropometric and micronutrient status) with infection, inflammation, immune cell quantities in 166 apparently healthy Filipino children aged 5–9 years attending public schools Manila. Children low, normal, high body mass index (BMI)-for-age were compared terms (iron, vitamin D, C, riboflavin), Epstein–Barr virus (EBV) quantities. Micronutrients contributing to variance inflammation abnormal identified. Inflammation poorer health (characterized by C-reactive protein (CRP) low neutrophils, respectively) more prevalent overweight obese BMI-for-age than those either normal or BMI. Previous EBV infection was found 88.7% children. After controlling for level serum C predicted while increased iron (hemoglobin) presence an neutrophil level, occurring mostly as neutropenia. Viral overweight, obesity adversely affect children’s health. Increases further impair function providing needed viral proliferation. Philippine government requires mandatory fortification staple foods voluntary processed foods. Given prevalence rising among children, policies should be reexamined ensure that is used solely address iron-deficiency anemia rather promote development EBV-associated malignancies other infections. Instead, focus on increasing intake from fresh fruits vegetables improve child immunity.

Language: Английский

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Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Abstract Aims This study investigated the role of plasma proteins in obesity to identify predictive biomarkers and explore underlying biological mechanisms. Methods In Cooperative Health Research Region Augsburg (KORA) FF4 study, 809 were measured 2045 individuals (564 obese 1481 non‐obese). Multivariate logistic regression adjusted for confounders (basic full models) was used obesity‐associated proteins. Priority‐Lasso applied feature selection, followed by machine learning models (support vector [SVM], random forest [RF], k‐nearest neighbour [KNN] adaptive boosting [Adaboost]) prediction. Correlation enrichment analyses performed elucidate relationships between protein biomarkers, risk factors perturbed pathways. Mendelian randomisation (MR) assessed causal links obesity. Results A total 16 identified as significantly associated with through multivariable basic model subsequent analysis. Enrichment highlighted immune response, lipid metabolism inflammation regulation linked Machine demonstrated robust performance area under curves (AUC) 0.820 (SVM), 0.805 (RF), 0.791 (KNN) 0.819 (Adaboost). All correlated obesity‐related such blood pressure levels. MR analysis AFM, CRP CFH potentially modifiable Conclusions The signatures our showed promising potential These findings warrant further investigation evaluate their clinical applicability, offering insights into prevention treatment strategies.

Language: Английский

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Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAge

GeroScience, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Epigenetic aging clocks represent contemporary biomarkers that predict age using methylomic data. These models can be categorized as first-generation estimate chronological or next-generation are designed to associate with health, lifestyle, and/or outcomes. Recently, we created a buccal clock called CheekAge associates all-cause mortality risk in older adults. To better understand our model, collated 25 Infinium MethylationEPIC datasets the Gene Expression Omnibus database and analyzed ability of five other well-known distinct health disease signals. outcompeted every tested by significantly associating total 33 different variables, including human immunodeficiency virus, major depressive disorder, psychological trauma, prediabetes, body mass index, non-alcoholic fatty liver disease, pulmonary fibrosis, exposure chemical endocrine disruptor PBB-153, various cancers tumors. Of six tested, outperformed clocks. underlying biology CheekAge, iteratively removed CpG inputs identify DNA methylation sites promoted antagonized each association. Finally, performed detailed enrichment analyses on these unveil overrepresented biological processes transcription factor targets.

Language: Английский

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