PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

Pyroptosis is the programmed death of cells accompanied by an inflammatory response and is widely involved in the development of a variety of diseases, such as infectious diseases, cardiovascular diseases, and neurodegeneration. It has been shown that cellular scorching is involved in the pathogenesis of pulmonary arterial hypertension ( PAH) in cardiovascular diseases. Patients with PAH have perivascular inflammatory infiltrates in lungs, pulmonary vasculopathy exists in an extremely inflam-matory microenvironment, and pro-inflammatory factors in cellular scorching drive pulmonary vascular remodelling in PAH patients. This article reviews the role of cellular scorch in the pathogenesis of PAH and the related research on drugs for the treatment of PAH, with the aim of providing new ideas for clinical treatment of PAH.

In this study, we designed and synthesized 12 novel aloperine derivatives with different core structures. Among them, compound 3 with a ten-membered ring core was obtained through a special ring expansion reaction after γ-H Huffman elimination of quaternary ammonium salt, and the structure was verified by X-single crystal diffraction. Furthermore, their antiviral activity against human β-coronavirus HCoV-OC43 was evaluated by CCK-8 assay. Quaternary ammonium salt 2a and 3 had a good inhibitory effect against HCoV-OC43, and 2a had the highest anti-HCoV-OC43 activity with an EC₅₀ values of 3.77 μmol·L^-1 and a SI value of over 53.1. Schrӧdinger molecular docking results showed that both 2a and 3 might display their anti-HCoV-OC43 activity by directly acting on host TMPRSS2 and SR-B1. The results expanded the structural types of endocyclic aloperine and the function against coronavirus, and provided useful scientific data for the development of pharmaceutical applications of these compounds.

Objective To investigate the effect of chemokine CXC ligand 9(CXCL9)on cognitive function impairment in patients with breast cancer brain metastases undergoing whole-brain radiotherapy(WBRT)using bioinformatics methods.Methods The mRNA of breast cancer brain metastases datasets GSE43837 and GSE12276 and Alzheimer's disease(AD)dataset GSE161199 were screened and downloaded from GEO database.Limma method and Venn diagrams were used to identify common differentially expressed genes(DEGs),and protein-protein interaction and functional prediction through GeneMANIA website assays were performed.A total of 42 patients with breast cancer brain metastases who first visited the Department of Radiotherapy at the First Affiliated Hospital of Hebei North University from January 2021 to January 2023 were selected.Patients were divided into normal cognitive function group and cognitive function impairment group based on cognitive status.Enzyme-linked immunosorbent assay(ELISA)was employed to detect serum CXCL9 levels one week before and three months after radiotherapy.The mini-mental state examination(MMSE)was used to assess patients'cognitive function.Results The DEGs from datasets GSE43837 and GSE12276 included PKP1,POLDIP2,SPAG5,ALDOC,PTPRZ1,PKIA,TLCD1,CPE,PMP22 and CXCL9.The DEGs from GSE161199 included RPS16,CD79A,LYPD3,RPL28,HBG2,RPL23AP7,TRNR,CXCL9.Venn diagram showed that CXCL9 was a common DEG between breast cancer brain metastasis and AD.Functional enrichment analysis indicated that CXCL9 was involved in cellular responses to chemokines,negative regulation of immune system processes,negative regulation of vascular morphogenesis,Toll-like receptor signaling pathway,nucleotide oligomerization domain(NOD)-like receptor signaling pathway,and JAK-STAT signaling pathway.Before radiotherapy,patients with cognitive function impairment and normal cognitive function accounted for 61.9%and 38.1%,respectively,with a statistically significant difference in MMSE scores[(24.53±2.19)vs.(28.89±1.36),P＜0.01].Compared with normal cognitive function group,patients with cognitive function impairment had a significantly increased number of brain metastases and significantly lower Karnofsky performance status(KPS)scores and serum CXCL9 levels(P＜0.05).Three months after radiotherapy,patients with cognitive function impairment and normal cognitive function accounted for 47.6%and 52.4%,respectively,with a statistically significant difference in MMSE scores[(25.16±1.98)vs.(28.18±1.08),P＜0.01].Compared with normal cognitive function group,patients with cognitive function impairment had significantly lower CXCL9 levels(P=0.003).In patients with normal cognitive function,CXCL9 levels were remarkably lower after radiotherapy compared to those before radiotherapy(P=0.009).Conclusions Patients with cognitive function impairment had significantly lower CXCL9 levels than those with normal cognitive function,and whole-brain radiotherapy may be related to a certain degree of reduction in CXCL9 levels.

This work was aimed at predicting and verifying B-cell epitopes of SARS-CoV-2 E protein through bioinformatics methods,and clarifying the dominant B cell epitopes with mouse polyclonal antibody serum prepared through SARS-CoV-2 re-combinant E protein immunization and human positive serum vaccinated with inactivated SARS-CoV-2 vaccine.The structural and B-cell linear epitopes of SARS-CoV-2 E protein were predicted with SOPMA,Expasy,SWISS-MODEL,IEDB database,and Bepid-2.0 software.Candidate epitopes were expressed as GST-tagged recombinant protein fragments in an E.coli sys-tem,and their immunoreactivity with mouse and human poly-clonal positive serum against SARS-CoV-2 E protein was de-tected by western blotting and indirect ELISA,respectively.The epitope prediction results showed that E protein contained linear B cell epitopes Ser6-Val14 and Tyr57-Pro71,and the conformational epitopes of Glu8-Val12,Leu39-Tyr59,and Ser60-Leu65.The GST tagged recombinant E protein fragments of E1 and E3,containing Ser6-Val14 and Tyr57-Pro71 epitopes,respectively,as well as E2 without an epitope sequence as a control,were expressed in an E.coli expression system and successfully purified with an Ni-NTA column.Western blotting and indirect ELISA analysis indicated that all mouse and human SARS-CoV-2 positive sera positively reacted with only E1 and E3 proteins,but negatively reacted with E2 protein,thus indicating that the corresponding epitope prediction with Ser6-Val14 and Tyr57-Pro71 was correct.This study successfully predicted and preliminarily identified two linear B cell epitopes of SARS-CoV-2 E protein,thus providing a reference for the preparation of new coronavirus vaccines and the analysis of immune response characteristics.

Objective To enhance the quality of medical services in the intensive care unit(ICU)of provincial traditional Chinese medicine(TCM)hospitals.Methods In November 2023,Sichuan Provincial Critical Care Medicine Quality Control Center of TCM launched the"quality control supervision project scoring standard for critical care medicine of TCM"to conduct quality control evaluation and business guidance for all TCM hospitals with independent ICU.The survey covered structural indicators,control indicators,participation of TCM,development of new technologies,and diagnosis and treatment programs for dominant diseases.Results In terms of structural indicators:a total of 110 TCM hospitals in the province have independent ICU,an increase of 1.12 times compared with 2019.The control indicators showed that the ICU patients admission rate was higher than that of the national ICU admission rate in 2017,and the admission rate of patients with acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score≥15 points increased.However,the mortality of ICU exceeded the national average.The implementation of core indicators had been significantly improved,but the incidence of outcome indicators such as ICU ventilator-associated pneumonia(VAP),ICU intravascular catheter-related bloodstream infection(CRBSI),and ICU catheter-related urinary tract infection(CAUTI)had increased since 2019,mainly in secondary hospitals.The average number of new technologies was about(5.5±3.4),the participation rate of TCM decreased,and the dominant diseases increased compared with 2019,mainly sepsis,respiratory failure and hemorrhagic stroke.Conclusions The number of ICU units in TCM hospitals at all levels in Sichuan province has grown rapidly,and key performance indicators have also improved compared to previous periods.However,greater efforts are still needed in preventing the occurrence rates of VAP,CRBSI,and CAUTI.There is a shortage of medical resources allocation,and the imbalance in regional medical resources and professional training remains an urgent issue to be addressed.Additionally,the participation rate of TCM and the dominant diseases need further enhancement.

Objective:To explore the mechanism of hypertension inducing erectile dysfunction(ED)using transcriptomics and network pharmacology.Methods:We randomly divided 12 male rats with spontaneous hypertension(SHT)into an L-arginine(LA)group(n=6)and an SHT model control(MC)group(n=6),took another 6 Wistar Kyoto male rats as normal controls(NC),and treated the animals in the LA group by intraperitoneal injection of LA at 400 mg/kg and those in the latter two groups with physio-logical saline,once a day,all for 7 days.Then we observed the blood pressure and penile erection of the rats,and determined the ex-pressions of the cGMP/PKG signaling pathway-related proteins and mRNAs in different groups using ELISA,Western blot and RT-qPCR.Results:Transcriptomics combined with network pharmacology showed that the cGMP/PKG signaling pathway played a key role in hypertension-induced ED.In vivo animal experiments revealed a significantly lower frequency of penile erections in the MC than in the NC group(1.33±0.52 vs 2.67±0.51,P＜0.05).The protein expressions of eNOS,PKG and sGC were markedly de-creased in the model controls compared with those the normal controls(P＜0.05),but remarkably upregulated in the LA group com-pared with those in the MC group(P＜0.05).Conclusion:Hypertension decreases the expressions of eNOS,NO,sGC,cGMP and PKG proteins and the level of testosterone by inhibiting the cGMP/PKG signaling pathway,which consequently suppresses the relaxa-tion of the penile vascular smooth muscle and reduces erectile function.

Ginsenoside Rg1 is one of the most important saponins in ginseng. It has a wide range of pharmacological activities. It is considered to be a powerful neuroprotective agent. It has neuroprotective effects such as anti-neuroinflammation, anti-oxidative stress, anti-neuronal apoptosis, and enhancing memory. Rg1 shows a good application prospect in the prevention and treatment of neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, stroke, and mental diseases such as depression. This paper reviews the research on the neuroprotective mechanism of Rg1 at home and abroad in recent years, in order to provide new research ideas for the clinical treatment of nervous system diseases.

Objective: To observe the clinical pathology features, and immune microenvironment of HER-2 intratumoral heterogeneity breast cancer. Methods: Thirty cases of HER-2 intratumoral heterogeneous breast cancer were retrospectively analyzed in Tianjin Medical University Cancer Institute and Hospital from November 2017 to June 2020. HER-2 expression was detected by immunohistochemistry and verified by dual color silver-enhanced in-situ hybridization (D-SISH). HER-2 intratumoral positive and negative regions were divided. The pathological characteristics, subtype, and the level of tumor infiltrating lymphocytes (TILs) and the expression of programmed cell death-ligand 1 (PD-L1) were evaluated respectively. Results: The proportion of HER-2 positive cells of the breast cancer ranged from 10% to 90%. The pathological type was mainly invasive non-special typecarcinoma. Six cases presented different pathological types between HER-2 positive and negative regions. The HER-2-positive areas included 2 cases of carcinoma with apocrine differentiation, and the negative areas included 2 cases of invasive micropapillary carcinoma, 1 case of invasive papillary carcinoma, and 1 case of carcinoma with apocrine differentiation. In HER-2 positive regions, 17 cases were Luminal B and 13 cases were HER-2 overexpressed types. There were 22 cases of Luminal B and 8 cases of triple negative tumors in the HER-2 negative areas. The levels of TILs in HER-2 positive and negative areas accounted for 53.3% (16/30) and 26.7% (8/30), respectively, with a statistically significant difference (P=0.035). The positive expression of PD-L1 in HER-2 positive area and HER-2 negative area were 6 cases and 9 cases, respectively. Among 8 cases with HER-2 negative regions containing triple negative components, 4 cases were positive for PD-L1 expression. Conclusions: In the case of HER-2 intratumoral heterogeneity, it is necessary to pay attention to both HER-2 positive and negative regions, and evaluate subtype separately as far as possible. For HER-2 intratumoral heterogeneous breast cancer containing triple negative components, the treatment mode can be optimized by refining the intratumoral expression of PD-L1.
Humans ; Female ; Breast Neoplasms/pathology* ; Retrospective Studies ; B7-H1 Antigen/metabolism* ; Lymphocytes, Tumor-Infiltrating/pathology* ; Carcinoma ; Tumor Microenvironment ; Triple Negative Breast Neoplasms/pathology* ; Prognosis ; Biomarkers, Tumor/metabolism*

We reported a rare case with metastatic prostate cancer complicated with hemorrhagic syndrome caused byprimary hyperfibrinolysis.The correct diagnosis of bleeding disorders is a prerequisite for choosing the correct treatment.Tranexamic acid can be used as the preferred treatment for patients with bleeding caused by primary hyperfibrinolysis. In this case, the combination of antifibrinolytics and antiandrogen therapy effectively controlled the severe bleeding symptoms caused by primary hyperfibrinolysis in metastatic prostate cancer. Appropriate treatment after early diagnosis is essential to prevent bleeding and improve prognosis.