2015 · Clinica chimica acta; international journal of clinical chemistry · paywalled
Urine proteome analysis to evaluate protein biomarkers in children with autism
Suganya et al.
The finding, in our words
First-void urine from autistic children showed significantly elevated kininogen-1 compared with controls, suggesting urine proteomics could yield non-invasive screening markers for autism. The finding supports decentralised diagnostics because urine can be self-collected at home, even in paediatric populations, enabling remote biomarker discovery.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
First-void urine samples from 85 Austrian school children aged six to ten showed frequent low-level exposure to mycotoxins and phytoestrogens, with 22 percent exceeding the tolerable daily intake for deoxynivalenol and some facing possible health risks from ochratoxin A. The results support urine microsampling for decentralised exposome monitoring in paediatric populations.
DNA methylation markers in first-void urine effectively detect high-grade cervical lesions in HPV-positive women, with results similar to clinician-collected samples in those over 30. This enables reliable cervical cancer screening using self-collected urine, reducing the need for invasive follow-up procedures in decentralised settings.
The study found that testing for ASCL1/LHX8 DNA methylation in at-home collected first-void urine can detect most cervical cancers and high-grade precancers, supporting a fully molecular screening pathway without a clinical visit.
Frequent dried blood spot sampling detected early changes in beta-cell function more effectively than mixed-meal tolerance tests or urine ratios, supporting its potential as a decentralised monitoring tool for clinical trials.
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.