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1.
Aging Cell ; 22(1): e13756, 2023 01.
Artigo em Inglês | MEDLINE | ID: mdl-36547004

RESUMO

Aging is believed to occur across multiple domains, one of which is body composition; however, attempts to integrate it into biological age (BA) have been limited. Here, we consider the sex-dependent role of anthropometry for the prediction of 10-year all-cause mortality using data from 18,794 NHANES participants to generate and validate a new BA metric. Our data-driven approach pointed to sex-specific contributors for BA estimation: WHtR, arm and thigh circumferences for men; weight, WHtR, thigh circumference, subscapular and triceps skinfolds for women. We used these measurements to generate AnthropoAge, which predicted all-cause mortality (AUROC 0.876, 95%CI 0.864-0.887) and cause-specific mortality independently of ethnicity, sex, and comorbidities; AnthropoAge was a better predictor than PhenoAge for cerebrovascular, Alzheimer, and COPD mortality. A metric of age acceleration was also derived and used to assess sexual dimorphisms linked to accelerated aging, where women had an increase in overall body mass plus an important subcutaneous to visceral fat redistribution, and men displayed a marked decrease in fat and muscle mass. Finally, we showed that consideration of multiple BA metrics may identify unique aging trajectories with increased mortality (HR for multidomain acceleration 2.43, 95%CI 2.25-2.62) and comorbidity profiles. A simplified version of AnthropoAge (S-AnthropoAge) was generated using only BMI and WHtR, all results were preserved using this metric. In conclusion, AnthropoAge is a useful proxy of BA that captures cause-specific mortality and sex dimorphisms in body composition, and it could be used for future multidomain assessments of aging to better characterize the heterogeneity of this phenomenon.


Assuntos
Envelhecimento , Composição Corporal , Masculino , Humanos , Feminino , Inquéritos Nutricionais , Composição Corporal/fisiologia , Antropometria , Comorbidade , Índice de Massa Corporal , Tecido Adiposo/metabolismo
2.
Nutr Metab Cardiovasc Dis ; 31(2): 506-517, 2021 02 08.
Artigo em Inglês | MEDLINE | ID: mdl-33279372

RESUMO

BACKGROUND AND AIMS: Both insulin resistance (IR) and visceral adipose tissue (VAT) are related cardiometabolic risk factors; nevertheless, their joint effect on endothelial functionality is controversial. This study aims to evaluate the joint effect of IR and VAT on endothelial functionality using the pulse-waveform analysis and explore the mediating role of VAT on the effect of IR on arterial pressure, arterial stiffness and incident arterial hypertension. METHODS AND RESULTS: We measured VAT (n = 586) using two methods (dual-energy X-ray absorptiometry and a clinical surrogate), arterial stiffness (with pulse-waveform velocity), and IR (using three methods: HOMA2-IR (n = 586), a frequently sampled intravenous glucose tolerance test (n = 131) and euglycemic hyperinsulinemic clamping (n = 97)) to confirm the mediator effect of IR on VAT. The incidence of arterial hypertension attributable to the mediating effect of IR related to VAT was evaluated using a prospective cohort (n = 6850). Adjusted linear regression models, causal mediation analysis, and Cox-proportional hazard risk regression models were performed to test our objective. IR and VAT led to increased arterial stiffness and increased blood pressure; the combination of both further worsened vascular parameters. Nearly, 57% (ΔE→MY 95% CI: 31.7-100.0) of the effect of IR on altered pulse-wave velocity (PWV) analysis was mediated through VAT. Moreover, VAT acts as a mediator of the effect of IR on increased mean arterial pressure (ΔE→MY 35.7%, 95% CI: 23.8-59) and increased hypertension risk (ΔE→MY 69.1%, 95% CI: 46.1-78.8). CONCLUSION: VAT acts as a mediator of IR in promoting arterial stiffness and arterial hypertension. Both phenomena should be targeted to ameliorate the cardiometabolic risk.


Assuntos
Adiposidade , Pressão Arterial , Hipertensão/epidemiologia , Resistência à Insulina , Gordura Intra-Abdominal/fisiopatologia , Rigidez Vascular , Adulto , Biomarcadores/sangue , Glicemia/metabolismo , Fatores de Risco Cardiometabólico , Estudos Transversais , Feminino , Humanos , Hipertensão/sangue , Hipertensão/diagnóstico , Hipertensão/fisiopatologia , Incidência , Insulina/sangue , Gordura Intra-Abdominal/diagnóstico por imagem , Masculino , México/epidemiologia , Pessoa de Meia-Idade , Estudos Prospectivos , Medição de Risco
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