Background: Metabolically healthy obesity seems to be a unique phenotype for the risk of cardiometabolic diseases. However, it is not known whether this phenotype is associated with the risk of proteinuria.

Methods: Study subjects were 9,185 non-diabetic Japanese male workers aged 40-55 years who had no proteinuria, an estimated glomerular filtration rate ≥60 mL/min/1.73 m, no history of cancer, and no use of antihypertensive or lipid-lowering medications at baseline. Obesity was defined as body mass index ≥25.0 kg/m. Metabolic health was defined as the presence of no Adult Treatment Panel III components of the metabolic syndrome criteria, excluding waist circumference, and metabolic unhealth was defined as the presence of one or more metabolic syndrome components, excluding waist circumference. "Consecutive proteinuria" was considered positive if proteinuria was detected twice consecutively as 1+ or higher on urine dipstick at annual examinations to exclude chance proteinuria as much as possible.

Results: During the 81,660 person-years follow-up period, we confirmed 390 cases of consecutive proteinuria. Compared with metabolically healthy non-obesity, metabolically healthy obesity was not associated with the risk of consecutive proteinuria (multiple-adjusted hazard ratio [HR] 0.86; 95% confidence interval [CI], 0.37-1.99), but metabolically unhealthy non-obesity with ≥2 metabolic syndrome components (HR 1.77; 95% CI, 1.30-2.42), metabolically unhealthy obesity with one component (HR 1.71; 95% CI, 1.12-2.61), and metabolically unhealthy obesity with ≥2 metabolic syndrome components (HR 2.77; 95% CI, 2.01-3.82) were associated with an increased risk of consecutive proteinuria.

Conclusions: Metabolically healthy obesity did not increase the risk of consecutive proteinuria in Japanese middle-aged men.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048297PMC
http://dx.doi.org/10.2188/jea.JE20170082DOI Listing

Publication Analysis

Top Keywords

metabolically healthy
20
healthy obesity
16
metabolic syndrome
16
syndrome components
12
consecutive proteinuria
12
risk consecutive
12
metabolically unhealthy
12
associated risk
8
defined presence
8
excluding waist
8

Similar Publications

Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.

View Article and Find Full Text PDF

Unlabelled: Although tryptophan (Trp) is the largest and most structurally complex amino acid, it is the least abundant in the proteome. Its distinct indole ring and high carbon content enable it to generate various biologically active metabolites such as serotonin, kynurenine (Kyn), and indole-3-pyruvate (I3P). Dysregulation of Trp metabolism has been implicated in diseases ranging from depression to cancer.

View Article and Find Full Text PDF

Dupuytren Disease (DD) is a chronic progressive disease that can result in disabling hand deformities. The most common treatments have high rates of complications and early recurrence. Dupuytren lacks a staging biomarker profile to develop preventive therapeutics to improve long-term outcomes.

View Article and Find Full Text PDF

Atherosclerosis, a major contributor to cardiovascular disease, involves lipid accumulation and inflammatory processes in arterial walls, with oxidized low-density lipoprotein (OxLDL) playing a central role. OxLDL is increased during aging and stimulates monocyte transformation into foam cells and induces metabolic reprogramming and pro-inflammatory responses, accelerating atherosclerosis progression and contributing to other age-related diseases. This study investigated the effects of Mdivi-1, a mitochondrial fission inhibitor, and S1QEL, a selective complex I-associated reactive oxygen species (ROS) inhibitor, on OxLDL-induced responses in monocytes.

View Article and Find Full Text PDF

CD4 T cell activation induces dramatic changes to cellular metabolism for supporting their growth and differentiation into effector subsets. While the cytokines IL-4, TGF-β and IL-21 promote differentiation into Th9 cells, metabolic factors regulating this process remain poorly understood. To assess the role of lipid metabolism in human Th9 cell differentiation, naïve CD4 T cells were purified from blood of healthy volunteers and cultured in the presence or absence of compounds targeting PPAR-γ, acetyl-CoA-carboxylase 1 (ACC1), and AMP-activated protein kinase (AMPK) for four days.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!