A Comparison of the Predictive Power of DNA Methylation with Carbohydrate Deficient Transferrin for Heavy Alcohol Consumption
Miller et al.
The finding, in our words
DNA methylation analysis of saliva predicted heavy alcohol consumption more accurately than serum carbohydrate-deficient transferrin, with area under the ROC curve of 0.96 versus 0.87 (p<0.001). This shows that a patient-friendly saliva specimen can outperform the conventional blood-based biomarker, supporting decentralised diagnostic approaches.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
This systematic review of 67 studies involving 34,739 kidney disease patients found dried blood microsampling was mainly used for immunosuppressant therapeutic drug monitoring and kidney function assessment. The approach offered cost savings, was preferred by patients for home self-collection, and provides a patient-centric opportunity to upscale longitudinal sampling and reduce participation bias in decentralised kidney disease research.
Lamond et al., Journal of clinical laboratory analysis · source ↗
The Guangzhou Nutrition and Health Study integrates 14-day real-time continuous glucose monitoring with multi-omics data, including serum and faecal metabolomes, proteomes, and gut microbiome sequencing, to explore biomarkers and mechanisms of metabolic disease.
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This study of 184 individuals showed that home collection of dried blood spots and saliva can identify genetic polymorphisms linked to cardiac serum markers. Seven SNPs associated significantly with markers such as Apo B, LDL Direct, and hsCRP, while a polygenic risk score correlated strongly with NT-proBNP (r²=0.82, P=.03) and ox-LDL (r²=0.94, P=.005). These results indicate decentralised genetic sampling could enable early cardiovascular risk assessment and identify patients requiring closer serological monitoring.
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Jaszczak et al., The journals of gerontology. Series B, Psychological sciences and social sciences (paywalled) · source ↗