Interaction between mental and cardiometabolic health in relation to telomere length among university staff in Australia
Khanal et al.
The finding, in our words
Among 126 Australian university staff, age was the primary correlate of telomere length. Burnout, sleep-related impairment, and mental quality of life moderated the association between fasting plasma glucose and telomere length, showing that combining wearable-measured sleep and autonomic data with blood biomarkers can reveal how mental and cardiometabolic health interact in occupational populations.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In progressive multiple sclerosis, higher serum neurofilament light chain levels were associated with reduced daily step counts from wearables, while higher step counts were linked to lower sNfL. A ten percent increase in steps corresponded to a 0.015 decrease in sNfL z-score, suggesting rising sNfL may predict subsequent mobility decline.
Joseph et al., Annals of clinical and translational neurology (paywalled) · source ↗
The Human Phenotype Project enrolled 28,000 participants in a deep-phenotyping cohort that combines blood and microbiome sampling with continuous glucose and sleep monitoring. An AI model trained on dietary and glucose data predicted disease onset more accurately than existing methods, showing how integrating continuous digital signals with multi-omic data can support personalised risk assessment for decentralised diagnostics.
Reicher et al., Nature medicine (paywalled) · source ↗
The study demonstrates that frequent collection of 10 microlitres of capillary blood, combined with wearable sensor data, enables simultaneous measurement of thousands of metabolites, lipids, cytokines and proteins, revealing individualised metabolic and inflammatory responses to dietary interventions and molecular fluctuations linked to intra-day changes in heart rate, glucose, cortisol and physical activity, supporting dynamic health profiling outside the clinic.
Shen et al., Nature biomedical engineering · source ↗
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.
Menstrual blood offers a noninvasive, patient-centric matrix for detecting endometriosis, cervical cancer, and hormonal disorders through self-collected samples. Wearable in-pad biosensors enabling real-time monitoring and long-term tracking could transform fertility evaluation and early disease detection, though standardisation and large-scale validation remain critical gaps.
Shafiq et al., Annals of medicine and surgery · source ↗