miR-21, miR-221, miR-29 and miR-34 are distinguishable molecular features of a metabolically unhealthy phenotype in young adults

• Published in: PloS one Vol. 19; no. 4; p. e0300420
• Main Authors: Méndez-Mancilla, Alejandro, Turiján-Espinoza, Eneida, Vega-Cárdenas, Mariela, Hernández-Hernández, Gloria Estela, Uresti-Rivera, Edith Elena, Vargas-Morales, Juan M, Portales-Pérez, Diana P
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25.04.2024; Public Library of Science (PLoS)
• Subjects: Analysis; Biology and life sciences; Biomarkers - blood; Body Mass Index; Care and treatment; Complications and side effects; Diagnosis; Female; Health aspects; Humans; Leptin - blood; Leptin - genetics; Leptin - metabolism; Male; Medicine and Health Sciences; Metabolic diseases; Metabolic Syndrome - genetics; Metabolic Syndrome - metabolism; MicroRNA; MicroRNAs - blood; MicroRNAs - genetics; MicroRNAs - metabolism; Obesity; Obesity - genetics; Obesity - metabolism; Phenotype; Risk factors; Sirtuin 1 - genetics; Sirtuin 1 - metabolism; Young Adult; Young adults; Mexico
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0300420

Discrepancies between the measurement of body mass index (BMI) and metabolic health status have been described for the onset of metabolic diseases. Studying novel biomarkers, some of which are associated with metabolic syndrome, can help us to understand the differences between metabolic health (MetH) and BMI. A group of 1469 young adults with pre-specified anthropometric and blood biochemical parameters were selected. Of these, 80 subjects were included in the downstream analysis that considered their BMI and MetH parameters for selection as follows: norm weight metabolically healthy (MHNW) or metabolically unhealthy (MUNW); overweight/obese metabolically healthy (MHOW) or metabolically unhealthy (MUOW). Our results showed for the first time the differences when the MetH status and the BMI are considered as global MetH statures. First, all the evaluated miRNAs presented a higher expression in the metabolically unhealthy group than the metabolically healthy group. The higher levels of leptin, IL-1b, IL-8, IL-17A, miR-221, miR-21, and miR-29 are directly associated with metabolic unhealthy and OW/OB phenotypes (MUOW group). In contrast, high levels of miR34 were detected only in the MUNW group. We found differences in the SIRT1-PGC1α pathway with increased levels of SIRT1+ cells and diminished mRNA levels of PGCa in the metabolically unhealthy compared to metabolically healthy subjects. Our results demonstrate that even when metabolic diseases are not apparent in young adult populations, MetH and BMI have a distinguishable phenotype print that signals the potential to develop major metabolic diseases.