SLC3A2 emerged as a candidate biomarker that may complement existing clinical scoring systems, although its incremental and independent prognostic value requires confirmation in larger external cohorts.
Abstract
Accurate prognostication in critically ill patients remains a central challenge. This study aimed to explore serum proteomic changes associated with the near-death state and to evaluate candidate biomarkers. We conducted a two-phase study, beginning with data-independent acquisition mass spectrometry (DIA-MS) on a discovery cohort of patients with acute cerebral infarction (
n
= 6). Candidate biomarkers were then evaluated via ELISA in an independent, heterogeneous cohort of critically ill neurological patients (
n
= 60). Exploratory proteomic profiling suggested broad molecular differences between the near-death and stable states, although no protein remained statistically significant after multiple-testing correction in the small discovery cohort. Candidate prioritization nevertheless identified Solute Carrier Family 3 Member 2 (SLC3A2) for downstream validation. Serum SLC3A2 concentrations were higher in near-death patients than in stable controls (
P
= 0.008) and showed moderate discrimination between the two states (AUC = 0.722). After adjustment for APACHE II, the association of SLC3A2 with ND status was not statistically significant, and its addition did not significantly improve model discrimination. Exploratory decision-curve analysis suggested possible net-benefit advantages over selected threshold probabilities. In conclusion, exploratory proteomic analysis identified nominal protein-level differences associated with the near-death state. SLC3A2 emerged as a candidate biomarker that may complement existing clinical scoring systems, although its incremental and independent prognostic value requires confirmation in larger external cohorts.
This large-scale proteome-wide study not only reveals significant proteomic changes preceding SLD diagnosis but also establishes GDF15 as both a promising preclinical biomarker and opening new avenues for early intervention in at-risk individuals.
Acute-on-chronic liver failure (ACLF) is associated with high short-term mortality. Valid prognostic biomarkers are required to refine risk stratification and improve clinical management. This study aimed to identify potential prognostic biomarkers for predicting clinical outcomes in ACLF patients.
Seventy-f...
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Findings show that a non-invasive plasma multi-analyte panel can differentiate MSA from PD with clinically meaningful accuracy, and support prospective validation in larger cohorts.
Background Sensitive biomarkers that objectively stage Huntington disease (HD) are needed to improve participant stratification and facilitate the enrichment of clinical trials with biologically and clinically homogeneous populations. The HDClarity study, an international longitudinal biofluid collection initiative for...
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Despite significant scientific progress in recent years, a notable gap remains in the availability of reliable non-invasive biomarkers for the early diagnosis of Parkinson’s disease (PD). This study aimed to identify and validate novel plasma biomarkers for PD using integrated bioinformatics and machine learning. Trans...
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