Sleep biology

Biological processes work hard during our sleep. Our immune system in particular benefits a great deal from undisturbed sleep. This is the simplest summary of the study by Kabrita et al. (2024).
We can study the temporal expression pattern of major histocompatibility complex MHC class I for example in mice. 2 groups of sleep-restricted versus normal mice reveal the biological impact of sleep restriction. In comparison to the control group sleep restriction in mice produced a bimodal pattern of Splenocytes with higher protein levels during the resting period. Such an increased protein expression during resting periods indicates a “preparedness for a potential infection”. Sleep recovery, even if short compared to the longer sleep restriction, allows to return to the baseline of protein levels. The good message is that at least mice seem to recover rather quickly from sleep deprivation with their immune response system.
The biology of repeated phases of longer sleep deprivation could inform us on the implications of sleep deprivation on aging processes. The biological responses in single event sleep deprivation seem to show a fast recovery pattern. Probably it is worth studying the same recovery process of groups of young versus aged mice.
Anecdotal evidence from myself indicates that recovery after sleep deprivation in older humans is no longer as fast as at younger ages. Behavioural responses might be less sleep deprivation (less fun) or longer recovery periods (stay in bed longer). The behavioural response of humans appears to be an obvious one. Instead of either or, we tend to go for both at the same time.
(AI Image: BING +Dall-E. one group of mice is partying in a club at night. Another group of mice is sleeping tight in another room. Cartoon-like images. 2024-3-18)

Personal Health

Most people would agree, health is a personal issue. From the onset of life, we have package of genes that predetermine a number of factors of our personal health. Epigenetics has taught us there are many factors to take into account additionally. Environmental factors have huge impacts as well. Improvements in the availability of medical devices in the hands of individuals as well as AI systems on portable devices like smartphones facilitate the monitoring of personal health. Several indicators of early-onset of illness can be retrieved from such devices. Dunn et al. (2024) show that prior to the onset of symptoms of Covid-19 or influenza portable devices can indicate the presence of infections through indicators of resting body temperature, heart rate/min, heart rate variability/millisecond or respiratory rate/min. Combined with the indicators of air quality, indoors as well as outdoors, the presence of allergens a much more personalized data set emerges which can easily be part of an AI-assisted diagnosis. More abundant personal health data and analytical power allows remote and digital health applications to inform patients, medical doctors and the public at large. Digital health technologies are only at the beginning to unfold their potential. Prevention becomes more feasible using such devices, medical professionals should be allowed to focus on interpretation of data and treatment rather than simple data gathering. Thinking about digital health technologies points in the direction of dealing with climate and environmental hazards as sickening causes more forcefully. Personal medicine and personal health are, after all, still heavily dependent on health and safety at work, commuting practices and all sorts of pollution. Personal health, however, is a good starting point to raise awareness of the potentials of digital health technologies to better our lives.
(Image: AI MS-Copilot: 2 robots run in a city. They sweat. The air is full of smog. 2 other robots rest near pool. All look at their wrist watch showing heart beats)