Clinical manifestations of anxiety and depression in sepsis-associated encephalopathy and multi-omics identification of cluster of differentiation 38 as an early biomarker
Bibliographic record
Abstract
BACKGROUND Sepsis-associated encephalopathy (SAE) is a common complication of sepsis, characterized by cognitive impairment, altered consciousness, and psychiatric symptoms, including anxiety and depression. These psychiatric symptoms often exacerbate the overall prognosis and quality of life of affected patients. However, the underlying metabolic and proteomic features associated with SAE-induced psychiatric symptoms remain poorly understood. AIM To investigate the clinical manifestations of anxiety and depression in patients with sepsis and SAE and to explore their associated metabolic and proteomic characteristics. METHODS A total of 88 patients were enrolled, comprising 30 healthy controls, 29 patients with sepsis, and 29 with SAE. Anxiety and depression symptoms were evaluated using the Hamilton anxiety rating scale (HAM-A) and Hamilton depression rating scale (HAM-D) in sepsis and SAE. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), and quality of life was measured using the 36-Item Short Form Health Survey. Plasma samples were analyzed for metabolomic and proteomic profiling. Metabolic alterations were identified through liquid chromatography-mass spectrometry, while protein expression was assessed using Olink targeted proteomics. RESULTS Compared to the sepsis group, patients with SAE exhibited significantly higher levels of anxiety (HAM-A: 15.2 ± 4.0 vs 10.4 ± 3.0, P = 0.012) and depression (HAM-D: 16.0 ± 3.5 vs 9.1 ± 2.3, P = 0.003). Cognitive function, as measured by MoCA, was notably impaired in the SAE group (MoCA: 18.5 ± 4.0 vs 24.5 ± 3.2, P = 0.007). Quality of life scores, particularly in physical functioning, emotional well-being, and mental health, were significantly lower in patients with SAE. Metabolomic and proteomic analyses revealed substantial alterations in oxidative stress and nicotinamide adenine dinucleotide (NAD+) metabolism pathways, with cluster of differentiation (CD) 38 emerging as a potential biomarker associated with psychiatric symptoms in SAE. Further validation in an independent cohort confirmed the diagnostic relevance of CD38. CONCLUSION This study highlights the significant psychological burden of SAE, manifested as anxiety and depression. Multi-omics analysis identified distinct metabolic alterations, particularly in NAD+ metabolism, that may contribute to psychiatric symptom development and progression. Furthermore, CD38 was identified as a promising biomarker for the early detection of SAE, providing potential avenues for early intervention and therapeutic targeting.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".