Exploratory serum proteomics and independent validation identify SLC3A2 as a candidate biomarker associated with the near-death state

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.

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Publication Details

Journal
Scientific Reports
Published
2026-09-16
DOI
https://doi.org/10.1038/s41598-026-71021-3
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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Exploratory serum proteomics and independent validation identify SLC3A2 as a candidate biomarker associated with the near-death state

Shenglin Wang, Liang Wang, Wei Wang, Xia Yan
Scientific Reports
Advanced Proteomics Techniques and Applications
article

Exploratory serum proteomics and independent validation identify SLC3A2 as a candidate biomarker associated with the near-death state

Shenglin Wang, Liang Wang, Wei Wang, Xia Yan
article en

Abstract

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.

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Exploratory serum proteomics and independent validation identify SLC3A2 as a candidate biomarker associated with the near-death state — Shenglin Wang, Liang Wang, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS