Current issues in molecular biology · 2026
Comparative Serum Proteomic Analysis of Different Habitual Coffee Consumption Among Healthy and Obese with and Without Hypertension Groups.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sirivarasai Jintana, Muttrarak Sorsia, Shantavasinkul Prapimporn Chattranukulchai, Roytrakul Sittiruk, Malilas Waraporn, Panpunuan Pachara, Sritara Piyamitr
Аннотация
Coffee consumption has been associated with metabolic and cardiovascular health, but the molecular mechanisms underlying these associations remain unclear. This study investigated the association between coffee intake and circulating proteomic profiles across metabolic conditions using a pooled-serum, exploratory design. Participants were classified into four groups: normal weight (NW), normal weight with coffee intake (NWC), obese with hypertension (OBHT), and obese with hypertension with coffee intake (OBHTC). Differentially expressed proteins (DEPs) were identified using volcano plot criteria (|log2FC| ≥ 1, FDR < 0.05), followed by Reactome pathway enrichment, Gene Ontology (GO) molecular function, and Enrichr-derived protein-protein interaction (PPI) analyses. Results: In NW vs. NWC, coffee intake was associated with proteins enriched in receptor-mediated signaling and phosphoinositide pathways. In OBHT vs. OBHTC, DEPs were linked to mitochondrial respiration and oxidoreductase activity. The NW vs. OBHT comparison showed downregulation of metabolic and signaling proteins with enrichment of mitochondrial and stress-response functions. In NWC vs. OBHTC, proteins related to cytokine signaling and vascular function were reduced, while redox-associated regulators were increased. PPI networks highlighted interconnected hubs integrating signaling, metabolism, and immune responses. Conclusion: These findings suggest context-dependent proteomic patterns associated with coffee intake. Given the pooled design and small sample size, results are hypothesis-generating and require validation.