Diarrhea-predominant irritable bowel syndrome （IBS-D） is a common digestive system disease with high prevalence and recurrence rates for years， high treatment costs， and serious impacts on patients' quality of life and economic burden. Therefore， it is important to explore new and safe treatment methods. The pathogenesis of IBS-D is complex， in which the gut-brain axis is a key factor. The gut-brain axis， a bidirectional signaling pathway connecting the gastrointestinal tract and the central nervous system， regulates gastrointestinal motility， secretion， and immune responses， playing a key role in the occurrence and development of IBS-D. Up to now， antidiarrheal agents， probiotics， and neurotransmitter modulators are the main methods for the clinical treatment of IBS-D. Although they can partially curb the progression of this disease， the therapeutic effects remain to be improved. Studies have confirmed that traditional Chinese medicine （TCM） has significant advantages in the treatment of IBS-D since it can regulate the gut-brain axis via multiple pathways and targets to improve the gastrointestinal motility and strengthen immune defenses. However， there is a lack of systematic reviews on the regulation of the gut-brain axis by TCM in the treatment of IBS-D. Based on the review of IBS-D-related articles published in recent years， this paper systematically summarized the relationship between the gut-brain axis and IBS-D and the role of TCM in the treatment， providing new ideas for the treatment of IBS-D.

Objective To explore the phenotypic conversion of regulatory T cells (Tregs) in the lungs of mice with bronchopulmonary dysplasia (BPD)-affected mice. Methods A total of 20 newborn C57BL/6 mice were divided into air group and hyperoxia group, with 10 mice in each group. The BPD model was established by exposing the newborn mice to hyperoxia. Lung tissues from five mice in each group were collected on postnatal days 7 and 14, respectively. Histopathological changes of the lung tissues was detected by HE staining. The expression level of surfactant protein C (SP-C) in the lung tissues was examined by Western blot analysis. Flow cytometry was performed to assess the proportion of FOXP3⁺ Tregs and RORγt⁺FOXP3⁺ Tregs in CD4⁺ lymphocytes. The concentrations of interleukin-17A (IL-17A) and IL-6 in lung homogenate were measured by using ELISA. Spearman correlation analysis was used to analyze the correlation between FOXP3⁺Treg and the expression of SP-C and the correlation between RORγt⁺FOXP3⁺ Tregs and the content of IL-17A and IL-6. Results The hyperoxia group exhibited significantly decreased levels of SP-C and radical alveolar counts in comparison to the control group. The proportion of FOXP3⁺Tregs was reduced and that of RORγt⁺FOXP3⁺Tregs was increased. IL-17A and IL-6 concentrations were significantly increased. SP-C was positively correlated with the expression level of RORγt⁺FOXP3⁺ Tregs. RORγt⁺FOXP3⁺ Tregs and IL-17A and IL-6 concentrations were also positively correlated. Conclusion The number of FOXP3⁺ Tregs in lung tissue of BPD mice is decreased and converted to RORγt⁺ FOXP3⁺ Tregs, which may be involved in hyperoxy-induced lung injury.
Animals ; Mice ; Mice, Inbred C57BL ; Bronchopulmonary Dysplasia ; T-Lymphocytes, Regulatory ; Interleukin-17 ; Nuclear Receptor Subfamily 1, Group F, Member 3 ; Hyperoxia ; Interleukin-6 ; Forkhead Transcription Factors ; Lung

Objective To investigate the value of 4D-CTA combined with SDF-1a/CXCR4 signaling pathway in evaluating the risk of intracranial aneurysm rupture.Methods Fifty patients with unruptured intracranial posterior communicating aneurysms and 50 patients with ruptured intracranial posterior communicating aneurysms were divided into unruptured group 1 and ruptured group 1.All patients underwent 4D-CTA examination and serumSDF-1alevel was detected.Non-ruptured group 1 was followed up for 12 months(After conservative treatment),on this basis,patients with ruptured posterior communicating aneurysms were included in ruptured group 2,and patients with unruptured posterior communicating aneurysms were included in non-ruptured group 2.Results The AUC values of Wn,AR,L,SR,SDF-1a and their combinations in diagnosing ruptured intracranial posterior communicating aneurysms were all greater than 0.70.The AUC values of Wn,AR,L,SR,SDF-1a and their combinations in predicting ruptured intracranial posterior communicating aneurysms in ruptured group 2 were all greater than 0.70.Conclusion 4D-CTA combined with SDF-1acan effectively distinguish ruptured intracranial posterior communicating aneurysms and predict the risk of rupture.

Objective     To evaluate the risk factors for postoperative in-hospital mortality in elderly patients receiving cardiac valvular surgery, and develop a new prediction models using the least absolute shrinkage and selection operator (LASSO)-logistic regression. Methods     The patients≥65 years who underwent cardiac valvular surgery from 2016 to 2018 were collected from the Chinese Cardiac Surgery Registry (CCSR). The patients who received the surgery from January 2016 to June 2018 were allocated to a training set, and the patients who received the surgery from July to December 2018 were allocated to a testing set. The risk factors for postoperative mortality were analyzed and a LASSO-logistic regression prediction model was developed and compared with the EuroSCOREⅡ. Results     A total of 7 163 patients were collected in this study, including 3 939 males and 3 224 females, with a mean age of 69.8±4.5 years. There were 5 774 patients in the training set and 1 389 patients in the testing set. Overall, the in-hospital mortality was 4.0% (290/7 163). The final LASSO-logistic regression model included 7 risk factors: age, preoperative left ventricular ejection fraction, combined coronary artery bypass grafting, creatinine clearance rate, cardiopulmonary bypass time, New York Heart Association cardiac classification. LASSO-logistic regression had a satisfying discrimination and calibration in both training [area under the curve (AUC)=0.785, 0.627] and testing cohorts (AUC=0.739, 0.642), which was superior to EuroSCOREⅡ. Conclusion     The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high. LASSO-logistic regression model can predict the risk of in-hospital mortality in elderly patients receiving cardiac valvular surgery.

In 2009,the World Health Organization included snakebite on the list of neglected tropical diseases,acknowledging it as a common occupational hazard for farmers,plantation workers,and others,causing tens of thousands of deaths and chronic physical disabilities every year.This guideline aims to provide practical information to help clinical professionals evaluate and treat snakebite victims.These recommendations are based on clinical experience and clinical research evidence.This guideline focuses on the following topics:snake venom,clinical manifestations,auxiliary examination,diagnosis,treatments,and prevention.

Objective:To explore the predictive value of lipoproteins on the progression of critically ill patients to chronic critical illness (CCI).Methods:A retrospective cohort study was conducted to analyze clinical data of patients admitted to the intensive care unit (ICU) of Nanjing Drum Tower Hospital from January 1, 2020, to December 31, 2022. The levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) and apolipoproteins (ApoA-Ⅰ, ApoB) at 1, 3, 7, 14 and 21 days after admission to ICU were collected. The progression to CCI was recorded. CCI was defined as the length of ICU stay ≥14 days with sustained organ dysfunction [sequential organ failure assessment (SOFA) score ≥2]. Differences in lipoprotein levels between the patients with and without CCI were compared. Multivariate Logistic regression was used to analyze risk factors for critically ill patients progressing to CCI. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of lipoproteins on critically ill patients progressing to CCI.Results:A total of 200 patients were enrolled in the final analysis. 137 patients (68.5%) progressed to CCI, and 63 patients (31.5%) did not. The lipoprotein indicators in the CCI group showed a decrease after the acute phase, while the lipoprotein indicators in the non-CCI group showed an increase. The levels of HDL, LDL, ApoA-Ⅰ, and ApoB at various time points in the CCI group were significantly lower than those in the non-CCI group. HDL at 7 days in the CCI group was significantly lower than that in the non-CCI group [mmol/L: 0.44 (0.31, 0.61) vs. 0.67 (0.49, 0.75), P < 0.01]. Multivariate Logistic regression analysis showed that 7-day HDL was an independent risk factor for critically ill patients progressing to CCI [odds ratio ( OR) = 0.033, 95% confidence interval (95% CI) was 0.004-0.282, P = 0.002]. ROC curve analysis showed that the area under the ROC curve (AUC) of 7-day HDL for predicting critically ill patients progressing to CCI was 0.702, with a 95% CI of 0.625-0.779, P < 0.001. When the optimal cut-off value was 0.59 mmol/L, the sensitivity was 69.8%, and the specificity was 72.4%. Conclusions:The low level of lipoproteins is closely related to the progression of critically ill patients, and 7-day HDL has a certain predictive value for critically ill patients progressing to CCI. Continuously observation of the change trend of lipoprotein level is helpful to judge the progression of CCI in critically ill patients.

Objectives:To evaluate and predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery preferably,we developed a new prediction model using machine learning. Methods:Clinical data including baseline characteristics,peri-operative data and primary endpoint of 7 163 elderly patients aged 65 years or older undergoing cardiac valvular surgery from January 2016 to December 2018 from 87 hospitals were collected from the Chinese Cardiac Surgery Registry(CCSR).Patients from January 2016 to June 2018 were assigened to the training cohort(n=5 774)and patients from July to December 2018 were assigened to the validation cohort(n=1 389).The primary endpoint was in-hospital mortality.Machine learning algorithms were used to analyze risk factors and develop prediction model. Results:Overall in-hospital mortality was 4.1%.Linear discriminant analysis(LDA),support vector classification(SVC)and logistic regression(LR)models in the training cohort all have high AUCs and low Brier scores,with good discrimination and calibration.In validation cohort,the AUC of LDA,SVC and LR were 0.744,0.744 and 0.746 respectively,which were significantly better than that of 0.642 using the European System for Cardiac Operative Risk Evaluation II(EuroSCORE II)model(P<0.05). Conclusions:The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high.LDA,SVC and LR can predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery with high accuracy.

Objective:To explore the pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) from imaging perspective by analyzing voxel-based morphology (VBM) and functional connectivity (FC) in resting state functional magnetic resonance imaging (rs-fMRI).Methods:Thirty-five patients with NPSLE and 30 patients with non-NPSLE admitted to Department of Rheumatology and Immunology, Taizhou People's Hospital Affiliated to Nanjing Medical University from June 2020 to March 2023 were enrolled; 31 healthy subjects were included as healthy control group during the same period. All subjects completed routine MRI and rs-fMRI, laboratory tests (C3, C4, IgA, IgM and IgG levels), mini-mental state examination (MMSE), hospital anxiety and depression scale (HADS), and fatigue scale for motor and cognitive functions (FSMC). Whole brain gray matter volume in subjects of the 3 groups was analyzed by VBM method, and the brain regions enjoying significant differences in gray matter volume between the NPSLE group and non-NPSLE group were selected as regions of interest (ROIs) for whole brain FC analysis. Partial correlation method was used to analyze the correlations of imaging indexes in brain regions enjoying significant differences with clinical indexes and imaging scores between NPSLE group and non-NPSLE group. Efficacy of imaging indexes in brain regions enjoying significant difference in differentiating NPSLE from non-NPSLE was analyzed by receiver operating characteristic (ROC) curve.Results:(1) Covariance analysis among the 3 groups showed that the gray matter volume in the left inferior frontal gyrus of orbit, left superior frontal gyrus, right rectus gyrus, right transverse temporal gyrus, and right superior frontal gyrus was significantly different among the 3 groups ( P<0.001, FDR corrected); compared with the healthy control group, the NPSLE group had significantly reduced gray matter volume in the left inferior frontal gyrus of orbit, left superior frontal gyrus of orbit, right rectus gyrus, right transverse temporal gyrus, and right superior frontal gyrus ( P<0.001, FDR corrected); compared with the non-NPSLE group, the NPSLE group had significantly decreased gray matter volume in the left inferior frontal gyrus of orbit, right rectus gyrus, and right transverse temporal gyrus ( P<0.001, FDR corrected). (2) Whole brain FC analysis with brain regions enjoying significant differences as seed points showed that Fisher z-transformed FC (zFC) in the right transverse temporal gyrus and bilateral postcentral gyrus of the NPSLE group were significantly decreased ( P<0.001, FDR corrected). (3) Partial correlation analysis showed that, in the NPSLE group, zFC from the right transverse temporal gyrus to left posterior central gyrus was negatively correlated with disease course ( r=-0.390, P=0.027); gray matter volume in the right orbital superior frontal gyrus was negatively correlated with FSMC-cognitive ( r=-0.401, P=0.023); the gray matter volume in the right orbital superior frontal gyrus was negatively correlated with FSMC-motor ( r=-0.374, P=0.035). (4) ROC curve found that gray matter volume in the right rectus gyrus and zFC from the right transverse temporal gyrus to the right posterior central gyrus had relatively high efficacy in differentiating NPSLE from non-NPSLE, with AUC of 0.771 (95% CI: 0.658-0.885, P<0.001) and 0.794 (95% CI: 0.685-0.904, P<0.001), respectively. Conclusion:NPSLE patients have reduced gray matter volume in multiple brain regions (concentrating in the prefrontal limbic system); and reduced FC with some brain regions is noted; multiple indexes are correlated with clinical indexes.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Aim To explore the effect of Pueraria Lobata Flowers Extract(PFE)on lipid accumulation in mac-rophage-derived foam cells.Methods The concentration of PFE in THP-1-derived foam cells was screened by MTT,intracellular lipid accumulation was detected by oil red O staining and cholesterol detection kit,intracellular cholesterol ef-flux levels were detected by cholesterol efflux assay kit,RT-qPCR and Western blot were used to analyze mRNA and pro-tein expression.Results PFE significantly reduced lipid accumulation in THP-1-derived foam cells.PFE did not affect the mRNA expression of CD36,scavenger receptor-A Ⅰ(SR-A Ⅰ),sterol regulatory element-binding protein 2(SREBP2),3-hydroxy-3-methylglutaryl-CoA reductase(HMGCR),but it could upregulate the mRNA and protein expres-sion levels of ATP-binding cassette transporter A1(ABCA1)(P＜0.05),and promote the intracellular cholesterol efflux of macrophage-derived foam cells(P＜0.01).PFE could activate the activity of peroxisome proliferator-activated receptor y(PPARγ)(P＜0.01)and upregulate the mRNA and protein expression levels of PPARγ(P＜0.05).Compared with the PFE control group,the expression of PPARγ and ABCA1 proteins decreased and cholesterol efflux decreased after GW9662 treatment(all P＜0.01).Conclusion PFE could significantly prevent the lipid accumulation in THP-1-derived foam cells and inhibit the formation of foam cells by upregulating ABCA1 expression and cholesterol efflux mediated by PPARγ.