Adiponectin exerts an antidiabetic function through the adiponectin receptors 1 and 2 (AdipoR1 and AdipoR2). The mechanism regulating the expression of adiponectin receptors remains to be elucidated. Bioinformatics analysis demonstrated that microRNA (miR)‑218 targets the 3' untranslated region (3'UTR) of the AdipoR2 mRNA. The present study aimed to investigate whether miR-218 regulated the expression of AdipoR2 using immunoblotting, reverse transcription quantitative polymerase chain reaction and luciferase assays. The protein level and the mRNA level of AdipoR2 were reduced when miR‑218 was expressed in HepG2 cells. Additionally, overexpression of miR‑218 repressed the activity of a luciferase reporter containing the 3'UTR of AdipoR2. Furthermore, the present study aimed to determine whether miR-218 regulated glucose metabolism through detecting signaling pathways and glucose uptake. The phosphorylation of AMP‑activated protein kinase and p38 mitogen‑activated protein kinase was reduced in miR‑218‑expressing cells. In addition, miR‑218 inhibited adiponectin‑induced glucose uptake. The present results suggested that miR‑218 targets AdipoR2 to inhibit adiponectin signaling.

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Kidney disease is manifested in a wide variety of phenotypes, many of which have an important hereditary component. To delineate the genotypic and phenotypic spectrum of pediatric nephropathy, a multicenter registration system is being implemented based on the Chinese Children Genetic Kidney Disease Database (CCGKDD). In this study, all the patients with kidney and urological diseases were recruited from 2014 to 2020. Genetic analysis was conducted using exome sequencing for families with multiple affected individuals with nephropathy or clinical suspicion of a genetic kidney disease owing to early-onset or extrarenal features. The genetic diagnosis was confirmed in 883 of 2256 (39.1%) patients from 23 provinces in China. Phenotypic profiles showed that the primary diagnosis included steroid-resistant nephrotic syndrome (SRNS, 23.5%), glomerulonephritis (GN, 32.2%), congenital anomalies of the kidney and urinary tract (CAKUT, 21.2%), cystic renal disease (3.9%), renal calcinosis/stone (3.6%), tubulopathy (9.7%), and chronic kidney disease of unknown etiology (CKDu, 5.8%). The pathogenic variants of 105 monogenetic disorders were identified. Ten distinct genomic disorders were identified as pathogenic copy number variants (CNVs) in 11 patients. The diagnostic yield differed by subgroups, and was highest in those with cystic renal disease (66.3%), followed by tubulopathy (58.4%), GN (57.7%), CKDu (43.5%), SRNS (29.2%), renal calcinosis /stone (29.3%) and CAKUT (8.6%). Reverse phenotyping permitted correct identification in 40 cases with clinical reassessment and unexpected genetic conditions. We present the results of the largest cohort of children with kidney disease in China where diagnostic exome sequencing was performed. Our data demonstrate the utility of family-based exome sequencing, and indicate that the combined analysis of genotype and phenotype based on the national patient registry is pivotal to the genetic diagnosis of kidney disease.

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