Abstract. Point-of-use sensors that detect biomarkers in noninvasive biofluids, such as saliva, could provide individuals with valuable insights into their

Animal model tissues and biofluids are indispensable yet underused assets in preclinical research. Buttini et al. argue that standardized, shareable biobanks could reduce duplication, improve technical reproducibility, strengthen biomarker translation, lower animal use, and create scalable infrastructures for academia and industry.

Metabolic profiling of biofluids provides a comprehensive overview of physiological processes occurring at the molecular, cellular, tissue, and organ levels. Accounting for age-related variation in the metabolome is critical to accurately interpret these effects in blood-based metabolomics research. In this study, we sought to characterize the blood metabolome of healthy pediatric patients and assess whether metabolite concentrations differ across age groups and stages of sexual maturation. A total of 44 plasma samples from individuals aged 0-19 years were analyzed using a targeted quantitative metabolomics approach, combining direct injection with reverse-phase liquid chromatography mass spectrometry. Samples were stratified by age: infants (0-2 years), pre-teens (10-12 years), and post-pubertal adolescents (16-19 years). Asymmetric dimethylarginine, carnosine, N-acetyl-serine, and quinolinic acid had a negative association with age, whereas creatinine, homoarginine, lysoPC a C16:1, guanidoacetic acid and 5-Hydroxyindoleacetic acid had a positive association with age. Comparisons between the pre-teen and infant age groups yielded the greatest number of differences followed by the post-pubertal versus infant and post-pubertal versus pre-teen groups. These findings demonstrate age-associated heterogeneity in the pediatric plasma metabolome. Establishing normative reference ranges for metabolite concentrations will be essential to improve the accuracy of metabolomic analyses that include pediatric participants.

Background Alzheimer's disease (AD) disproportionately affects women, yet existing studies have been limited to single biofluids, individual hormones, or single dementia subtypes, leaving sex-stratifi...

Nature Reviews Bioengineering, Published online: 31 August 2026; doi:10.1038/s44222-026-00477-9Extracellular vesicles (EVs) are central mediators of intercellular communication. This Review reframes EVs by spatial distribution and function, distinguishing liquid-phase EVs, which disseminate through biofluids and enable systemic signalling, from matrix-bound EVs that are retained within the extracellular matrix and mediate localized, tissue-specific communication, evaluating their properties, functions and translational potential.

Nature Reviews Bioengineering, Published online: 31 August 2026; doi:10.1038/s44222-026-00477-9Extracellular vesicles (EVs) are central mediators of intercellular communication. This Review reframes EVs by spatial distribution and function, distinguishing liquid-phase EVs, which disseminate through biofluids and enable systemic signalling, from matrix-bound EVs that are retained within the extracellular matrix and mediate localized, tissue-specific communication, evaluating their properties, functions and translational potential.

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Top-down proteomics (TDP) advances biomedical research by providing a birds-eye view of proteoforms in cells, tissues, and biofluids. Thousands of proteoforms can be characterized using well-establish...

Position Summary:The Business Development Director (Biospecimen Solutions) is responsible for identifying, engaging, developing, and closing significant business opportunities for Precision Biospecimen Solutions in the assigned area of responsibility and/or region.Essential functions of the job include but are not limited to:Identifies opportunities for Biospecimen products and services, with an emphasis on biofluids, prospective collections, tissues, cells and other specialty- and central-la...

New England Biolabs introduces the Monarch cfRNA Extraction Kit, designed for efficient and reliable extraction of cell-free RNA from biofluids, marking a significant advancement in molecular research.

Isolate total circulating cfRNA from biofluids with mag bead-based kit for downstream detection & sequencing workflows. Includes DNase.

Extracellular vesicles (EVs) are promising liquid biopsy candidates for gastric cancer because they can capture tumor-, immune-, microbial-, and microenvironment-related signals. We argue that the main challenge is no longer simply to find more candidates but to advance EV biomarkers with demonstrated diagnostic, therapeutic-monitoring, or prognostic value toward clinical translation. In this opinion article, we highlight EVs from nonblood biofluids, non-tumor-derived EVs, and underexplored EV cargo types, particularly small noncoding RNA cargoes, as sources of biomarker potential. We further identify insufficient clinical evidence, technical bottlenecks, and incomplete quality-control and regulatory standards as key barriers to their clinical deployment.

Extracellular vesicles (EVs) are promising liquid biopsy candidates for gastric cancer because they can capture tumor-, immune-, microbial-, and microenvironment-related signals. We argue that the main challenge is no longer simply to find more candidates but to advance EV biomarkers with demonstrated diagnostic, therapeutic-monitoring, or prognostic value toward clinical translation. In this opinion article, we highlight EVs from nonblood biofluids, non-tumor-derived EVs, and underexplored EV cargo types, particularly small noncoding RNA cargoes, as sources of biomarker potential. We further identify insufficient clinical evidence, technical bottlenecks, and incomplete quality-control and regulatory standards as key barriers to their clinical deployment.

Background Alzheimer's disease (AD) disproportionately affects women, yet existing studies have been limited to single biofluids, individual hormones, or single dementia subtypes, leaving sex-stratifi...

Cells release membrane-bound extracellular vesicles into the bloodstream laden with proteins that may reflect their physiological state. How this circulating EV proteome changes across life remains poorly understood. Identifying molecular signatures of aging in accessible biofluids could facilitate earlier intervention and monitoring of age-related disease. Many circulating aging proteome studies rely on affinity-based platforms which suffer from poor cross-species translation, ambiguous signal attribution, and inconsistent agreement between platforms. Here, we present a characterization of the aging plasma EV proteome from a cross-sectional cohort of 86 male and female C57BL/6J mice (5-31 months). We leveraged a species-agnostic EV enrichment (Mag-Net) and mass spectrometry to detect 2,575 protein groups from 15,969 peptides. Protein abundance heterogeneity increased with age and the abundance of 272 proteins were significantly correlated with chronological age including established senescence and frailty markers. Proteins increasing with age were enriched in genome maintenance pathways, while those decreasing were associated with the extracellular matrix organization and lipid metabolism. Notably, several of the strongest age-increased proteins converged on Alzheimer's and Parkinson's disease pathology. We observed sexual divergence in the aging EV proteome not previously characterized at this resolution. A proteomic clock built from this data accurately predicts chronological age, and peptide-level analysis reveals aging signals invisible at protein-level. These findings demonstrate that EV-enriched plasma proteomics can identify known aging markers, reveal novel sex-specific age-related changes, and generate predictive models of chronological age. This study provides a species-agnostic foundation for proteomic clocks that complement epigenetic approaches to monitor aging and evaluate healthspan.

Menstrual blood is one of the most information-rich biofluids humans produce. Devices to analyse menstrual blood can enable non-invasive, longitudinal monitoring of reproductive, inflammatory, metabol...

Nature Reviews Bioengineering, Published online: 22 June 2026; doi:10.1038/s44222-026-00465-zMenstrual blood is one of the most information-rich biofluids humans produce. Devices to analyse menstrual blood can enable non-invasive, longitudinal monitoring of reproductive, inflammatory, metabolic and oncological conditions.

Read the full paper: A high-throughput, end-to-end pipeline for extracellular miRNA biomarker discovery from human biofluids