Multi-omics microsampling for the profiling of lifestyle-associated changes in health

Abstract

Current healthcare practices are reactive and use limited physiological and clinical information, often collected months or years apart. Moreover, the discovery and profiling of blood biomarkers in clinical and research settings are constrained by geographical barriers, the cost and inconvenience of in-clinic venepuncture, low sampling frequency and the low depth of molecular measurements. Here we describe a strategy for the frequent capture and analysis of thousands of metabolites, lipids, cytokines and proteins in 10 μl of blood alongside physiological information from wearable sensors. We show the advantages of such frequent and dense multi-omics microsampling in two applications: the assessment of the reactions to a complex mixture of dietary interventions, to discover individualized inflammatory and metabolic responses; and deep individualized profiling, to reveal large-scale molecular fluctuations as well as thousands of molecular relationships associated with intra-day physiological variations (in heart rate, for example) and with the levels of clinical biomarkers (specifically, glucose and cortisol) and of physical activity. Combining wearables and multi-omics microsampling for frequent and scalable omics may facilitate dynamic health profiling and biomarker discovery.

Graphene Transistors for In Vitro Detection of Health Biomarkers

“…Small biomolecules are key biomarkers in early disease diagnosis, including glucose, [80] dopamine, [149] adenosine triphosphate, [150] urea, [151] and metabolites with an average molecular weight of <500 kDa. [5,11,152] This section analyzes notable progress in GFET small biomolecular sensors by categorizing their recognition probes.…”

“…There is an everlasting demand for sensitive detection of healthrelated biomarkers, including nucleic acids, [78] proteins, [79] small biomolecules, [5,80] and cell-related products. [9,81] This section summarizes the recent progress in GFET biosensors for biochemical sensing and related fitness applications over the past few decades.…”

“…[34,52,164,165] Among existing wearable sensor systems, GFETs have demonstrated major advantages such as fast response speed, reliable material quality, high compatibility with flexible substrates, and large deformations on human skin. [5,44,166] Furthermore, they are capable of detecting various disease indicators in complex biological fluids and monitoring human activity in real time.…”

“…[1,2] They are associated with human tissue biological characteristics and can provide valuable information for early diagnosis, treatment, and prevention of diseases. [2][3][4][5] Thus, identifying a health-related biomarker at an early stage is of vital importance in healthcare applications. Conventional analytical techniques suffer from temporal heterogeneities, invasive procedures, insufficient sensitivity, and time-consuming and sophisticated operation.…”

Gut Microbiome Wellness Index 2 for Enhanced Health Status Prediction from Gut Microbiome Taxonomic Profiles

“…and AI-based models has the potential to open up exciting possibilities for healthy aging 41 and preventative healthcare and wellness strategies 42,43 , driven by insights from our gut microbiome.…”