Publications by authors named "N M Leite"

Background/aims: The prognostic importance of changes in vibration-controlled transient elastography (VCTE) parameters, liver stiffness measurement (LSM), and controlled attenuation parameter (CAP), in individuals with type 2 diabetes (T2D) and metabolic dysfunction-associated steatotic liver disease (MASLD) is unknown.

Methods: A prospective cohort of 288 patients underwent 2 VCTE exams at least 2 years apart, and the relative percentage changes in LSM and CAP were calculated. Outcomes were the occurrence of any liver-related events (LREs), cardiovascular events (CVEs), and all-cause mortality.

View Article and Find Full Text PDF

Background/objectives: The associations between low birth weight (LBW) and the aggregation of metabolic risk factors (MRF) in youth remain ambiguous. Thus, this study analysed the interrelationship among MRF, LBW, and behavioural factors in adolescents.

Methods: The sample of the present cross-sectional study comprised 491 youth (229 males, 262 females) aged 14-17 years.

View Article and Find Full Text PDF

The expansion of adipose tissue, characteristic of obesity, releases inflammatory cytokines, leading to metabolic disorders. Physical activity, on the other hand, promotes fat loss and changes inflammatory profile. This study aimed to investigate the associations of 20 gene variants (TLR2, TLR4, IL1B, IL6, NFKB1, TNF, NFKBIA, NLRC4, CARD8 and NEK7) with anthropometric and biochemical changes induced by physical exercise programs.

View Article and Find Full Text PDF

Background: Reliable, noninvasive tools to diagnose at-risk metabolic dysfunction-associated steatohepatitis (MASH) are urgently needed to improve management. We developed a risk stratification score incorporating proteomics-derived serum markers with clinical variables to identify high-risk patients with MASH (NAFLD activity score >4 and fibrosis score >2).

Methods: In this 3-phase proteomic study of biopsy-proven metabolic dysfunction-associated steatotic fatty liver disease, we first developed a multi-protein predictor for discriminating NAFLD activity score >4 based on SOMAscan proteomics quantifying 1305 serum proteins from 57 US patients.

View Article and Find Full Text PDF