Dissecting unique and common variance across body and brain health indicators using age prediction.

Ageing is a heterogeneous multisystem process involving different rates of decline in physiological integrity across biological systems. The current study dissects the unique and common variance across body and brain health indicators and parses inter-individual heterogeneity in the multisystem ageing process. Using machine-learning regression models on the UK Biobank data set (N = 32,593, age range 44.6-82.3, mean age 64.1 years), we first estimated tissue-specific brain age for white and gray matter based on diffusion and T1-weighted magnetic resonance imaging (MRI) data, respectively. Next, bodily health traits, including cardiometabolic, anthropometric, and body composition measures of adipose and muscle tissue from bioimpedance and body MRI, were combined to predict 'body age'. The results showed that the body age model demonstrated comparable age prediction accuracy to models trained solely on brain MRI data. The correlation between body age and brain age predictions was 0.62 for the T1 and 0.64 for the diffusion-based model, indicating a degree of unique variance in brain and bodily ageing processes. Bayesian multilevel modelling carried out to quantify the associations between health traits and predicted age discrepancies showed that higher systolic blood pressure and higher muscle-fat infiltration were related to older-appearing body age compared to brain age. Conversely, higher hand-grip strength and muscle volume were related to a younger-appearing body age. Our findings corroborate the common notion of a close connection between somatic and brain health. However, they also suggest that health traits may differentially influence age predictions beyond what is captured by the brain imaging data, potentially contributing to heterogeneous ageing rates across biological systems and individuals.

Kidney Transplant Recipient Behavior During the Early COVID-19 Pandemic: A National Survey Study in Norway.

RATIONALE & OBJECTIVE: Studies published from countries with a high prevalence of COVID-19 have found increased incidence and a more severe disease course of coronavirus disease 2019 (COVID-19) in kidney transplant recipients than in the general population. We investigated how the first wave of the COVID-19 pandemic affected the everyday life of kidney transplant recipients in a country with a low infection burden. STUDY DESIGN: Prospective case-control study. SETTING & PARTICIPANTS: All adult kidney transplant recipients in Norway with a functioning graft and listed in the public phone registry (n = 3,060) and a group of randomly recruited individuals >18 years from the general population (n = 20,000) were invited to participate in the study by an SMS text message. In parallel, all kidney transplant recipients in Norway were invited to measure severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG from mid-June to October 2020. PREDICTORS: The participants were asked to fill out a questionnaire focused on everyday life, travel history, exposure to known COVID-19 cases, and demographics. ANALYTICAL APPROACH: Groups were compared with independent tests using 2-sided 0.05 significance levels. RESULTS: A total of 1,007 kidney transplant recipients and 4,409 controls answered the questionnaire. The kidney transplant recipients reported being more concerned about SARS-CoV-2 infection (27%) than the control group (7%; P value < 0.001); ie, they behaved more carefully in their everyday life (not going to the grocery store, 5.9% vs 0.9%, P < 0.001; keeping at least 1 meter distance, 16.6% vs 5.8%, P < 0.001). Of the kidney transplant responders, 81% had a SARS-CoV-2 IgG taken; all were negative. LIMITATIONS: Mortality data is not reliable because of the low number of SARS-CoV-2 infected kidney transplant recipients in Norway. The relatively low questionnaire response rate for kidney transplant recipients is not optimal. CONCLUSIONS: The questionnaire shows that kidney transplant recipients have behaved more carefully compared with the general population with less social interaction and a very high degree of adherence to governmental advice.