Heat-Treated <i>Limosilactobacillus fermentum</i> PS150 Improves Sleep Quality with Severity-Dependent Benefits: A Randomized, Placebo-Controlled Trial
Lee et al.
The finding, in our words
The study found that a heat-treated probiotic formulation did not significantly improve sleep scores in the full cohort but did modulate endocrine markers, showing up-regulated nocturnal melatonin and improved daytime orexin levels, with a tendency toward reduced nocturnal salivary cortisol. Benefits were more pronounced in participants with higher baseline insomnia severity, suggesting the intervention may be most useful for symptomatic populations.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
A US survey of 3,400 adults aged 62 to 90 collected up to 15 biomeasures at home, including saliva, dried blood spots and urine, with Salivette and Oragene among the devices used, which shows that several patient-centric sampling methods can run together in home-based research.
Jaszczak et al., The journals of gerontology. Series B, Psychological sciences and social sciences (paywalled) · source ↗
Salivary cortisol is suitable as an adjunctive measure in decentralised monitoring, with lateral-flow assays providing rapid low-cost discrete measurements and wearable platforms enabling higher-frequency collection but facing biofouling and calibration challenges. Suitability requires validation in authentic saliva against reference methods, not merely low detection limits.
The study demonstrated that longitudinal remote monitoring using wearable sleep electroencephalography, actigraphy, and self-collected saliva samples is feasible in older adults with mild cognitive impairment or dementia, with high retention and data completeness rates over eight weeks.
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.
Wearable biochemical monitoring requires a complete measurement chain that integrates quality-controlled biofluid sampling, sensor fusion and metadata capture to convert raw sensor outputs into clinically valid digital biomarkers.