Transcriptomic Signature of 3D Hierarchical Porous Chip Enriched Exosomes for Early Detection and Progression Monitoring of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a highly lethal malignant tumor, and the current non-invasive diagnosis method based on serum markers, such as α-fetoprotein (AFP), and des-γ-carboxy-prothrombin (DCP), has limited efficacy in detecting it. Therefore, there is a critical need to develop novel biomarkers for HCC. Recent studies have highlighted the potential of exosomes as biomarkers. To enhance exosome enrichment, a silicon dioxide (SiO2) microsphere-coated three-dimensional (3D) hierarchical porous chip, named a SiO2-chip is designed. The features of the chip, including its continuous porous 3D scaffold, large surface area, and nanopores between the SiO2 microspheres, synergistically improved the exosome capture efficiency. Exosomes from both non-HCC and HCC subjects are enriched using an SiO2-chip and performed RNA sequencing to identify HCC-related long non-coding RNAs (lncRNAs) in the exosomes. This study analysis reveales that LUCAT-1 and EGFR-AS-1 are two HCC-related lncRNAs. To further detect dual lncRNAs in exosomes, quantitative real time polymerase chain reaction (qRT-PCR) is employed. The integration of dual lncRNAs with AFP and DCP significantly improves the diagnostic accuracy. Furthermore, the integration of dual lncRNAs with DCP effectively monitors the prognosis of patients with HCC and detects disease progression. In this study, a liquid biopsy-based approach for noninvasive and reliable HCC detection is developed.

Stroke Phase Is Essential for Pneumonia in Dysphagia Patients After Cerebral Infarction.

BACKGROUND: The risk of pneumonia increases after stroke, especially in poststroke dysphagia patients. Propensity score matching (PSM) is a statistical method in SPSS, which can be used to balance the difference between the 2 groups of known factors. Nasogastric tube feeding is an important factor of stroke-associated pneumonia. However, few studies have used PSM to eliminate the effect of confounding factor. METHODS: Our research was a retrospective case-control study. Retrospective review of the patient database between December 1, 2019, and June 30, 2022, to identify consecutive dysphagia patients after cerebral infarction during hospitalization. An 1:1 PSM in SPSS 25.0 was used to balance nasogastric tube feeding between patients with and without pneumonia. The characteristics of these 2 groups were analyzed. Univariate and binary logistic regression analyses were used to screen the risk factors of dysphagia after cerebral infarction. RESULTS: After 1:1 PSM, 198 subjects met our criteria and were included in the analysis. Age [odds ratio (OR)=1.047, 95% CI: 1.013-1.081, P =0.006], stroke phase (acute stroke) (OR=5.931, 95% CI: 1.133-31.054, P =0.035), admission National Institutes of Health Stroke Scale score (OR=1.058, 95% CI: 1.004-1.115, P =0.034), and length of hospital stay (OR=1.025, 95% CI: 1.001-1.049, P =0.042) had statistically significant correlation with pneumonia in patients with dysphagia after cerebral infarction. CONCLUSION: In clinical practice, for the prevention of pneumonia in patients with dysphagia after cerebral infarction, we should pay more attention to admission National Institutes of Health Stroke Scale score, age, and stroke phase, especially in acute cerebral infarction patients.