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Association of metabolic syndrome traits with urinary biomarkers in Japanese adults

BACKGROUND: Although metabolic syndrome traits are risk factors for chronic kidney disease, few studies have examined their association with urinary biomarkers. METHODS: Urinary biomarkers, including A-megalin, C-megalin, podocalyxin, albumin, α(1)-microglobulin, β(2)-microglobulin, and N-acetyl-β-D...

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Detalles Bibliográficos
Autores principales: Kabasawa, Keiko, Hosojima, Michihiro, Ito, Yumi, Matsushima, Kazuo, Tanaka, Junta, Hara, Masanori, Nakamura, Kazutoshi, Narita, Ichiei, Saito, Akihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760661/
https://www.ncbi.nlm.nih.gov/pubmed/35033174
http://dx.doi.org/10.1186/s13098-021-00779-5
Descripción
Sumario:BACKGROUND: Although metabolic syndrome traits are risk factors for chronic kidney disease, few studies have examined their association with urinary biomarkers. METHODS: Urinary biomarkers, including A-megalin, C-megalin, podocalyxin, albumin, α(1)-microglobulin, β(2)-microglobulin, and N-acetyl-β-D-glucosaminidase, were cross-sectionally assessed in 347 individuals (52.7% men) with a urine albumin-to-creatinine ratio (ACR)  < 300 mg/g in a health checkup. Metabolic syndrome traits were adopted from the National Cholesterol Education Program (third revision) of the Adult Treatment Panel criteria modified for Asians. RESULTS: Participants had a mean body mass index, estimated glomerular filtration rate (eGFR), and median ACR of 23.0 kg/m(2), 74.8 mL/min/1.73 m(2), and 7.5 mg/g, respectively. In age- and sex-adjusted logistic regression analysis, A-megalin and albumin were significantly associated with the clustering number of metabolic syndrome traits (3 or more). After further adjustment with eGFR, higher quartiles of A-megalin and albumin were each independently associated with the clustering number of metabolic syndrome traits (adjusted odds ratio for A-megalin: 1.30 per quartile, 95% CI 1.03–1.64; albumin: 1.42 per quartile, 95% CI 1.12–1.79). CONCLUSIONS: Both urinary A-megalin and albumin are associated with the clustering number of metabolic syndrome traits. Further research on urinary A-megalin is warranted to examine its role as a potential marker of kidney damage from metabolic risk factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00779-5.