Relationship between heart rate variability and inflammation induced by physical exercise in a sedentary healthy population
Ramiro-Cortijo et al.
The finding, in our words
Wearable heart rate variability measurement and capillary blood sampling in sedentary young adults showed exercise acutely increased sympathetic and reduced parasympathetic activity, with plasma cytokines increasing two hours later. Greater parasympathetic activation correlated with lower pro-inflammatory markers, suggesting HRV may indicate inflammatory responses to exercise.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
The study examines how oestradiol influences exercise-induced muscle damage and heart rate variability in thirty-six untrained women, using a Polar H10 wearable band and plasma biomarker measurements. The abstract is incomplete and reports no results, but the design shows how decentralised tools can be applied in exercise physiology research.
Ramiro-Cortijo et al., Experimental physiology · source ↗
Merck describes a digitally enabled, patient-centric trial initiative that combines outpatient PK/PD sampling with digital biomarkers and smart dosing technologies to improve exposure-response understanding and reduce patient burden, while acknowledging adoption challenges.
Dockendorf et al., Clinical and translational science · source ↗
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 ↗
Higher plasma BDNF levels were associated with a lower prevalence of sarcopenia and better kinetic and spatiotemporal gait performance in older adults.
Zhang et al., Journal of cachexia, sarcopenia and muscle · source ↗
The High-Definition Oncology feasibility study in 30 women with metastatic cancer demonstrated high adherence to biospecimen collection (97.4% plasma, 80.7% stool) and wearable monitoring (70–95% of days captured for activity, heart rate, sleep, and oxygen saturation). This establishes a viable framework for decentralised, multimodal data collection in oncology to support individualised treatment models.
Garma et al., JCO precision oncology (paywalled) · source ↗