Fernanda-Isadora Corona-Meraz1,2, Mónica Vázquez-Del Mercado1,3,4, Francisco José Ortega5,6, Sandra-Luz Ruiz-Quezada7, Milton-Omar Guzmán-Ornelas8, Rosa-Elena Navarro-Hernández1,2. 1. 1 Instituto de Investigación en Reumatología y del Sistema Musculo Esquelético, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México. 2. 2 UDG-CA-701, Grupo de Investigación Inmunometabolismo en Enfermedades Emergentes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México. 3. 3 Servicio de Reumatología, División de Medicina Interna, Hospital Civil 'Dr. Juan I. Menchaca', Universidad de Guadalajara, Guadalajara, México. 4. 4 UDG-CA-703, Grupo de Investigación en Inmunología y Reumatología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México. 5. 5 CIBER de la Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. 6. 6 Service of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain. 7. 7 UDG-CA-817 Investigación Genómica y Biomédica, Departamento de Farmacobiología, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, México. 8. 8 Departamento de Ciencias de la Salud-Enfermedad como Proceso Individual, División de Ciencias de la Salud, Centro Universitario de Tonalá, Universidad de Guadalajara, Tonalá, México.
Abstract
OBJECTIVE: The identification of circulating microRNAs related to abnormal metabolic function may be useful in the context of ageing, adiposity and insulin resistance. The miR-33 a/b has been shown to control the expression of genes involved in fatty acid biosynthesis, impaired metabolism and insulin resistance. In this study, we aimed to identify differences in circulating miR-33 a/b levels according to age-related metabolic impairment and increased adiposity. METHODS: This study included 80 individuals (30.2% with obesity, 70% females) classified according to insulin resistance (Stern's criteria) and age [young (20-39 years) and senior (40-59 years)]. Body fat was evaluated using bioelectrical impedance, biochemical markers by colorimetric, enzymatic and immuno-turbidimetry methods. TaqMan measures of circulating miR-33 a and miR-33 b with quantitative reverse transcription polymerase chain reaction in serum were assessed in association with clinical outputs. RESULTS: Circulating miR-33 a and miR-33 b levels showed significant association with fatness, the lipid profile and biomarkers of impaired glucose metabolism. Both miR-33 a and miR-33 b were associated with visceral adiposity index in non-insulin resistance and insulin resistance individuals. More important, for miR-33 a circulating levels in senior group, receiver operating characteristic curve analyses showed area under the curve 0.804 ( p = 0.010; 95% confidence interval = 0.655-0.952). CONCLUSION: Ageing influenced the relationship of circulating miR-33 a and miR-33 b with insulin resistance and increased adiposity.
OBJECTIVE: The identification of circulating microRNAs related to abnormal metabolic function may be useful in the context of ageing, adiposity and insulin resistance. The miR-33 a/b has been shown to control the expression of genes involved in fatty acid biosynthesis, impaired metabolism and insulin resistance. In this study, we aimed to identify differences in circulating miR-33 a/b levels according to age-related metabolic impairment and increased adiposity. METHODS: This study included 80 individuals (30.2% with obesity, 70% females) classified according to insulin resistance (Stern's criteria) and age [young (20-39 years) and senior (40-59 years)]. Body fat was evaluated using bioelectrical impedance, biochemical markers by colorimetric, enzymatic and immuno-turbidimetry methods. TaqMan measures of circulating miR-33 a and miR-33 b with quantitative reverse transcription polymerase chain reaction in serum were assessed in association with clinical outputs. RESULTS: Circulating miR-33 a and miR-33 b levels showed significant association with fatness, the lipid profile and biomarkers of impaired glucose metabolism. Both miR-33 a and miR-33 b were associated with visceral adiposity index in non-insulin resistance and insulin resistance individuals. More important, for miR-33 a circulating levels in senior group, receiver operating characteristic curve analyses showed area under the curve 0.804 ( p = 0.010; 95% confidence interval = 0.655-0.952). CONCLUSION: Ageing influenced the relationship of circulating miR-33 a and miR-33 b with insulin resistance and increased adiposity.
Entities:
Keywords:
Insulin resistance; ageing; body adiposity; metabolic markers; microRNAs
Authors: Daniel C Parker; Ma Wan; Kurt Lohman; Li Hou; Anh Tram Nguyen; Jingzhong Ding; Alain Bertoni; Steve Shea; Gregory L Burke; David R Jacobs; Wendy Post; David Corcoran; Ina Hoeschele; John S Parks; Yongmei Liu Journal: Diabetes Date: 2022-04-01 Impact factor: 9.461