OBJECTIVES: To investigate the effect of Haematococcus pluvialis (HP) on bleomycin (BLM)-induced pulmonary fibrosis in mice and on TGF-β1-induced human fetal lung fibroblasts (HFL1). METHODS: Thirty male C57BL/6 mice were randomly divided into control group, BLM-induced pulmonary fibrosis model group, low- and high-dose HP treatment groups (3 and 21 mg/kg, respectively), and 300 mg/kg pirfenidone (positive control) group. The effects of drug treatment for 21 days were assessed by examining respiratory function, lung histopathology, and expression of fibrosis markers in the lung tissues of the mouse models. In TGF-β1-induced HFL1 cell cultures, the effects of treatment with 120, 180 and 240 μg/mL HP or 1.85 μg/mL pirfenidone for 48 h on expression levels of fibrosis markers were evaluated. Transcriptome analysis was carried out using the control cells and cells treated with TGF-β1 and 240 μg/mL HP. RESULTS: HP obviously alleviated BLM-induced lung function damage and fibrotic changes in mice, evidenced by improved respiratory function, lung tissue morphology and structure, inflammatory infiltration, and collagen deposition and reduced expressions of fibrotic proteins. HP at the high dose produced similar effect to PFD. In TGF-β1-induced HFL1 cells, treatment with 240 μg/mL HP significantly reduced the mRNA and protein expression levels of α-SMA and FN. Transcriptome analysis revealed that multiple key genes and pathways mediated the protective effect of HP against pulmonary fibrosis. CONCLUSIONS HP alleviates pulmonary fibrosis in both the mouse model and cell model, possibly as the result of the synergistic effects of its multiple active components.
Animals ; Pulmonary Fibrosis/chemically induced* ; Bleomycin/adverse effects* ; Mice, Inbred C57BL ; Male ; Mice ; Fibroblasts/drug effects* ; Lung/pathology* ; Transforming Growth Factor beta1/pharmacology* ; Myofibroblasts/drug effects* ; Humans ; Pyridones

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Endothelial dysfunction is a key factor linking obstructive sleep apnea hypopnea syndrome (OSAHS) with cardiovascular diseases. In this study, we used advanced proteomics and metabolomics approaches to investigate the impact of extracellular vesicles (EVs) derived from the serum of OSAHS patients on endothelial function. Our multi-omics analysis identified dysregulated pathways related to fatty acid metabolism, apoptosis regulation, and inflammatory responses, highlighting fatty acid synthase (FASN) as a crucial player in OSAHS-induced endothelial dysfunction. Both in vitro and in vivo experiments demonstrated that FASN-enriched EVs impair endothelial cell viability and disrupt metabolic homeostasis, offering new insights for the development of targeted therapies for cardiovascular complications associated with OSAHS.

Linxian County in Henan Province, Northern China is known as the region with the highest incidence and mortality rate of esophageal cancer worldwide. Since 1959, the Henan medical team has conducted field work on esophageal cancer prevention and treatment in Linxian. Through three generations of effort exerted by oncologists over 65 years of research on esophageal cancer prevention and treatment in Linxian, the incidence rate of esophageal squamous cell carcinoma in this area has dropped by nearly 50%, and the 5-year survival rate has increased to 40%, reaching the international leading level. This article aims to summarize the history, present opportunities and new challenges, and explore the experience of esophageal cancer prevention and treatment in Linxian (referred to as the “Linxian experience”), providing reference and guidance to cancer prevention and treatment research in China.

Objective:To explore the factors influencing the recovery of swallowing function after a brainstem hemorrhage and to construct a prediction model.Methods:Clinical data on 134 persons with dysphagia after a brainstem hemorrhage were collected retrospectively. According to their swallowing ability at discharge, the patients were divided into a swallowing recovery group and a non-recovery group. Univariate correlation analysis and multivariate logistic regression analysis were used to explore the independent factors influencing the recovery of swallowing function and to construct a prediction nomogram. The receiver operating characteristics (ROC) curves were evaluated to analyze the nomogram′s predictive value and those of the relevant influencing factors.Results:Sixty-two of the patients (46%) had recovered their swallowing function at discharge, while 72 (54%) had not. Univariate correlation analysis showed that there had been significant differences in tracheal intubation, NIHSS score, FOIS score, Barthel index and Glasgow coma scale (GCS )score between the two groups, on average. The multivariate logistic regressions showed that a low NIHSS score, a high FOIS score and a high GCS score were independent predictors of swallowing function recovery, so they were used in the prediction model. ROC curve analysis showed that the area under the curve (AUC) of the prediction model was 0.953 (95% CI: 0.902~0.982) with a sensitivity of 87% and a specificity of 93%. The model′s predictions were thus better than using an NIHSS score, GCS score or FOIS score alone. Conclusions:NIHSS score, GCS score and FOIS score can independently predict the recovery of swallowing function after a brainstem hemorrhage. A prediction model constructed using all three has good predictive power.

Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.

In order to establish a method for the detection of serum antibodies to donkey-derived e-quine coronavirus(ECoV),recombinant ECoV N protein was expressed in E.coli system,purified by nickel column affinity chromatography and identified by Western blot.After optimizing the re-action conditions,the indirect ELISA(iELISA)detection method was established using the puri-fied recombinant protein as coating antigen and used to detect 143 clinical serum samples.The re-sults showed that the recombinant N protein,which has good reaction activity with serum antibod-y,was successfully expressed.The optimum conditions of the established iELISA method were as follows:the amount of antigen coated was 0.2 μg/well and overnight at 4 ℃,10％skimmed milk powder solution was sealed at 37℃ for 1.5 h,the dilution concentration of serum was 1∶200,and the enzyme-labeled secondary antibody diluted at 1∶10 000.The sensitivity test results showed that the positive serum could be diluted to 1∶6 400.The specificity test results showed that all an-tibodies to several donkey pathogens were negative.The repetitive test results showed that the in-tra-and inter-batch coefficients of variation were 2.90％-6.12％and 2.29％-7.88％respectively.The positive rate of clinical donkey serum was 57.3％.The iELISA established in this study pro-vides a technical support for epidemiological investigation and antibody surveillance.

Objective:To study the correlations of neutrophil-lymphocyte ratio(NLR)and platelet-lymphocyte ratio(PLR)with arte-riovenous fistula(AVF)stenosis in hemodialysis(HD)patients.Methods:Data were collected from 625 patients who underwent arterio-venous fistula hemodialysis at the Department of Nephrology,Affiliated Hospital of North Sichuan Medical College between January 2021 and June 2022.Of these,395 eligible patients with complete information were selected as subjects of study.The 245 patients with AVF stenosis were designated as group 1 and the 150 patients with-out AVF stenosis were designated as group 2.The routine biochemi-cal parameters and complete blood count were recorded for all pa-tients.Results:①Compared with patients in group 2,those in group 1 showed significantly higher NLR(5.07(4.00,6.66)vs.3.46(2.63,4.15),P<0.001),PLR(169.52(127.56,227.11)vs.125.66(89.31,165.31),P<0.001),and C-reactive protein(Hs-CRP)(1.90(0.80,2.99)vs.0.82(0.42,1.27),P<0.001).②Multivariate logistic regression analysis,which was corrected for age,sex,body mass index,AVF anastomosis,puncture method,and diabetes,showed that NLR(OR=2.195,95%CI=1.674～2.878,P<0.001),PLR(OR=1.008,95%CI=1.002～1.012,P=0.007),and Hs-CRP(OR=2.170,95%CI=1.607～2.751,P<0.001)were independent risk factors for AVF ste-nosis in HD patients.③Receiver operating characteristic curve analysis showed that the area under the NLR curve(0.799,95%CI=0.756～0.838,P<0.001),PLR(0.694,95%CI=0.646～0.740,P<0.001),and Hs-CRP(0.717,95%CI=0.670～0.761,P<0.001)could be used to predict AVF stenosis.Their optimal critical values for prediction were 4.08,122.49,and 1.62,respectively.Their combina-tion showed improved prediction effect(AUC 0.870,95%CI=0.833～0.901,P<0.001),high sensitivity(79.18%),and high specificity(81.33%).Conclusion:NLR,PLR,and Hs-CRP were independent risk factors and predictors of AVF stenosis,and their combination has higher predictive value.