Influence of oestradiol on exercise induced muscular damage and heart rate variability in a non-trained healthy population
Ramiro-Cortijo et al.
The finding, in our words
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.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
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 ↗
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.
Ramiro-Cortijo et al., Frontiers in physiology · source ↗
The Fluispotter device automated serial dried blood spot collection with high accuracy and precision for cortisol quantification across a haematocrit range of 22–55% when validated against plasma. This supports its use for reliable, patient-centric microsampling of steroid hormones in decentralised diagnostics.
Adhikari et al., Bioanalysis (paywalled) · 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 ↗