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This study identifies novel proteomic and metabolomic biomarkers linked to cardiac dysfunction and remodeling in breast cancer patients treated with cardiotoxic therapies, revealing potential pathways for early detection and intervention.
Comprehensive plasma proteomics reveal three molecular subtypes of transthyretin cardiac amyloidosis linked to distinct prognoses and differential tafamidis treatment responses, highlighting personalized therapeutic opportunities.
Large-scale proteomic analysis identifies novel maternal plasma protein biomarkers that improve detection of fetal death beyond established markers, highlighting both shared and unique pathological pathways with preeclampsia.
Comprehensive proteomic and phosphoproteomic profiling of 267 neuroendocrine carcinomas across multiple tissues reveals distinct molecular subtypes, biomarkers, and a novel NAD+ metabolic vulnerability, advancing personalized precision medi
A large-scale proteomic study identified distinct MASLD subtypes influenced by sex differences and developed a four-protein score predicting all-cause mortality, advancing personalized risk assessment beyond traditional liver-centric models
This review synthesizes evidence on neurofilament light chain (NFL) as a minimally invasive plasma biomarker predictive of diabetic retinopathy progression and vascular complications, based on integrated intraocular-plasma proteomics and mu
This study identifies six plasma proteins associated with 3-year progression from impaired fasting glucose to diabetes, enhancing risk prediction and offering new mechanistic insights.
This review synthesizes findings from a landmark proteomic study identifying 23 plasma proteins associated with VTE risk, highlighting novel pathways in immunity and vascular senescence while exploring causal links through Mendelian Randomi
This large-scale proteomic analysis identifies 15 novel protein markers for venous thromboembolism, offering new insights into the roles of immunity and extracellular matrix regulation in VTE pathogenesis beyond traditional coagulation path
Researchers from the ARIC study have identified five specific proteomic markers that uniquely predict heart failure risk in individuals with diabetes. These findings, including four novel proteins, suggest distinct pathophysiological pathwa
A comprehensive review of the ARIC study’s identification of five unique proteomic markers—four novel—that specifically predict heart failure risk in patients with diabetes, offering new insights into lipid metabolism and inflammatory
This review synthesizes cutting-edge findings from multi-ethnic longitudinal cohorts using high-throughput proteomics to identify novel biomarkers and causal pathways for venous thromboembolism, moving beyond traditional clotting factors.
A groundbreaking large-scale proteomic study identified 15 novel plasma markers for venous thromboembolism, highlighting biological pathways in extracellular matrix regulation and vascular senescence.
The OmniHeart trial reveals that replacing dietary carbohydrates with unsaturated fats or protein favorably modifies 15 minor protein-based HDL subspecies, shifting the proteomic profile toward lower coronary heart disease risk, independent
This study identifies key plasma biomarkers—including NT-proBNP, FGF-23, and GDF-15—that predict heart failure hospitalization in patients with atrial fibrillation. Findings also reveal distinct pathophysiological pathways for HFrEF and HFp
A large-scale proteomic analysis identifies VEGFR1 as a significant, independent predictor of 180-day mortality in patients with cardiogenic shock, offering incremental prognostic value beyond traditional markers like serum lactate and SAPS
A comprehensive multi-cohort proteomic study identifies Oligodendrocyte Myelin Glycoprotein (OMG) as a causal biomarker for neurodegenerative resiliency, linking its peripheral abundance to axonal integrity and reduced risk of dementia and
New research identifies a protein signature in blood that detects ALS years before symptoms, challenging previous perceptions and offering hope for early diagnosis and intervention.
Bayesian modelling of combined systolic and diastolic function trajectories in older adults reveals distinct patterns predicting heart failure subtypes and identifies potential proteomic targets for therapy.
This study integrates longitudinal systolic and diastolic cardiac function measures using Bayesian modeling to identify trajectories associated with distinct heart failure subtypes and proteomic signatures, enhancing risk prediction and the