Hepatic fibrosis is a reversible pathological process in various chronic liver diseases and is closely associated with the development and progression of severe liver diseases such as liver cirrhosis and hepatocellular carcinoma， and it has emerged as a significant global health challenge. In recent years， studies have shown that histone lactylation， a newly discovered epigenetic modification， actively participates in regulating the progression of hepatic fibrosis. This article systematically reviews the core regulatory effect of histone lactylation modification in the interaction between inflammatory microenvironment and hepatic fibrosis， in order to clarify the cascade regulatory mechanism of “inflammation-hepatic fibrosis” and provide new insights for early diagnosis， targeted intervention， and prevention of malignant transformation in hepatic fibrosis.

BACKGROUND:SOX5 is an important transcription factor of the SRY-related HMG-box(SOX)family,which plays a key role in regulating the expression of genes related to bone development and remodeling,especially during osteoblast differentiation and chondrocyte maturation,through its unique HMG box DNA structural domains in concert with SOX6 and SOX9.In addition,the expression and activity of SOX5 and its family are regulated by a variety of diseases and different forms of exercise,among other factors,suggesting that SOX5 and its family have the potential to be effective as drugs and therapeutics to ameliorate related diseases in the future.OBJECTIVE:To provide new perspectives for future research on SOX5 and to provide scientific basis for the application of exercise intervention and drug therapy in the prevention and treatment of bone diseases.METHODS:CNKI and PubMed databases were searched for relevant literature published from 2001 to June 2024,and the search terms were"SRY-related HMG-box5,SOX5,Bone"in Chinese and English,respectively.After screening,analysis and summarization,105 articles were included in the final review.RESULTS AND CONCLUSION:(1)Role of SOX5 in bone development:SOX5 is an important member of the SOX family,which plays a central role in the regulation of skeletal development,bone metabolism and cartilage formation.In synergy with SOX6 and SOX9,SOX5 activates gene expression in osteoblasts and chondrocytes by binding to specific DNA sequences to regulate bone formation and bone remodeling.(2)Abnormal expression of SOX5 is closely related to bone and joint diseases such as chondrodysplasia,osteoporosis and osteoarthritis,suggesting that it may be a key regulator of these diseases.Currently,a variety of drugs may be used to treat bone metabolism-related diseases by regulating SOX5 and its family,and upregulation of SOX5 in mesenchymal stem cells may be effective in improving the symptoms of bone metabolism disease patients in bone tissue engineering.(3)Exercise may effectively prevent osteoporosis and related bone diseases by enhancing bone metabolism and promoting osteoblast differentiation and bone density increase.This mechanism of action may be related to the specific regulatory mechanism of SOX5,especially in different types,intensities and durations of exercise need to be further explored and studied.In conclusion,SOX5 has an important regulatory role in bone development,chondrogenesis,and prevention of bone diseases,and its activity is regulated by a variety of factors,while exercise intervention provides a new scientific basis for the treatment of bone diseases.

Objective:To explore changes in brain activity in patients with post-traumatic stress disorder(PTSD).Methods:A total of 40 participants involved in car accidents were included,and functional magnetic reso-nance imaging(fMRI)scans were collected within one week.Anxiety,depression,and personality assessments were conducted with the Hamilton Anxiety Scale(HAMA),Hamilton Depression Scale(HAMD),and Eysenck Person-ality Scale for Adult(EPQ).After two months,a second fMRI scan was conducted,and a PTSD diagnosis was made.Participants were divided into a trauma-exposed group(n=23)and a PTSD group(n=17)based on wheth-er they developed PTSD.Changes in brain functional activity between the trauma-exposed group and the PTSD group were compared using the percentage of amplitude fluctuation(perAF)method.Results:Compared to the trauma-exposed group,the PTSD group showed a decreased perAF value in the left hippocampus at 1 week,and de-creased perAF values in the right mid-cingulate gyrus and left postcentral gyrus at 2 months(P＜0.05).When comparing the PTSD group at different times,the perAF values in the left middle temporal gyrus and left medial su-perior frontal gyrus decreased at 2 months(P＜0.05).Correlation analysis revealed that PCL-5 scores were posi-tively correlated with EPQ Psychoticism(r=0.32,P=0.041),HAMA(r=0.35,P＜0.05),and HAMD(r=0.34,P＜0.05).Regression analysis found that higher scores of EPQ psychoticism(OR=11.79)and HAMA(OR=1.62)were risk factors for post-accident PTSD,while higher scores of EPQ extraversion(OR=0.32)were pro-tective factors.Conclusion:It suggests that patients with post-traumatic stress disorder may show decreased activity in the right middle cingulate cortex,left postcentral gyrus,left middle temporal gyrus,and left medial superior fron-tal gyrus within two months after the traumatic event.

Objective To explore and summarize the locations,clinical manifestations,and treatment strategies of foreign bodies in the oral and maxillofacial region(FBOMR)among patients treated in our hospital,providing clinical insights and references for the pre-vention and management of FBOMR.Methods A retrospective analysis was conducted on the clinical data of 17 FBOMR patients hos-pitalized in our hospital from May 2022 to May 2024.The demographic information,etiology of injury,characteristics of foreign bodies,extraction methods,surgical duration,complications,and follow-up outcomes were analyzed.Differences in treatment strategies among patients with varying injury patterns were compared.Results The average age of the 17 FBOMR patients was(45.71±18.19)years old,with a male to female ratio of 1∶0.7.Etiological analysis revealed:iatrogenic causes(58.82%,10/17),occupational exposure(23.53%,4/17),and accidental injuries(17.65%,3/17).Secondary infections occurred in 64.71%(11/17)of cases during foreign body retention.All cases underwent successful surgical removal,with the following approaches:conventional surgery(64.71%,11/17),computer navigation-assisted surgery(29.41%,5/17),and endoscope-assisted surgery(5.88%,1/17).Compared to the conventional group,computer navigation-assisted surgery significantly reduced intraoperative trauma(P＜0.05).Conclusion Retained FBOMR poses serious risks to patients'physical and mental health.Surgical intervention remains the gold standard for clinical manage-ment.Precise three-dimensional localization and minimally invasive techniques,such as computer-assisted navigation and endoscopy,are recommended to minimize tissue damage and improve outcomes.

Aim To clarify the mechanism by which Qishen Yixin Granules improved microcirculation vas-cular endothelial dysfunction(VED)in mice,through activating the Nrf2/HO-1 signaling pathway to regulate oxidative stress.Methods C57 mice were randomly divided into six groups:blank group,model group,pos-itive drug group,and low-,medium-,and high-dose groups of Qishen Yixin Granules.The VED model was established by long-term infusion of Ang Ⅱ combined with a high-fat diet.Each treatment group received the corresponding drug intervention.After four weeks of drug intervention,cardiac function was assessed by echocardiography.Carstairs staining was used to ob-serve the formation of microthrombi in myocardial tis-sue.The micro vascular ischemia was evaluated by Hei-denhain staining.The ultrastructure of endothelial cells was observed by electron microscopy.The levels of EMPs,ROS,NO,ET-1,TF,TM,VWF,and TXA2 in serum were measured by ELISA.The expression levels of MDA,SOD,and GSH-Px in mouse heart tissue were determined by chemical methods.Cardiac microvascu-lar density and the expression of Nrf2,Keap1,and HO-1 proteins were detected by Immunohistochemical stai-ning.The protein expressions of Keap1,cytoplasmic Nrf2,nuclear Nrf2,and HO-1 in myocardial tissue were detected by Western blot.Results Qishen Yixin Granules could effectively improve the cardiac function of mice,alleviate the damage of endothelial cells and endothelial function.They could up-regulate serum NO levels and the activities of antioxidant enzymes SOD and GSH-Px,while down-regulating the expression of ROS and vascular inflammatory injury factors such as ET-1,VWF,TXA2,TF,TM,and EMPs.Qishen Yixin Granules also increased the positive counts of CD34,Nrf2,and HO-1,as well as microvessel density.Fur-thermore,they inhibited the expression of MDA,Keap1,and cytoplasmic Nrf2 protein in myocardial tis-sue,while increasing the expression of nuclear proteins HO-1 and Nrf2.Conclusions Qishen Yixin Granules may inhibit oxidative stress and inflammatory response by regulating the Nrf2/HO-1 signaling pathway,thereby improving vascular endothelial damage and cardiac function in VED mice.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

OBJECTIVE: To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019. METHOD: Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model. RESULTS: Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00). CONCLUSION The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans ; China/epidemiology* ; Incidence ; Bayes Theorem ; Spatio-Temporal Analysis ; Tuberculosis/epidemiology* ; Socioeconomic Factors

Purpose To evaluate the value of multimodality MRI-based nomogram model for predicting peritumoral brain tissue invasion in atypical meningioma.Materials and Methods A total of 187 patients with pathologically diagnosed atypical meningioma in the First Affiliated Hospital Fujian Medical University from January 2018 to January 2023 were retrospectively enrolled,including 130 cases of peritumoral brain tissue invasion and 57 cases of none peritumoral brain tissue invasion.Clinical data and multimodality MRI features,including age,gender,tumor location,maximum diameter,peritumoral oedema,tumor-brain interface,lobulated sign,dural tail sign,cyst degeneration/necrosis,relative minimum apparent diffusion coefficient(rADCmin)and intratumoral susceptibility signal were analyzed.Univariate and multivariate Logistic regression analysis were performed to screen the independent predictors of peritumoral brain tissue invasion in atypical meningioma,then a multimodality MRI prediction model was constructed,and was visualized as a nomogram.The prediction performance of multimodality MRI-based nomogram model and each independent predictor were assessed using receiver operating characteristic curve.Results The maximum diameter(OR=0.705,95%CI 0.539-0.920,P=0.010),peritumoral oedema(OR=1.333,95%CI 1.095-1.624,P=0.004),tumor-brain interface(OR=5.121,95%CI 2.045-12.806,P＜0.001)and rADCmin(OR=0.126,95%CI 0.033-0.483,P=0.002)were independent predictors of peritumoral brain tissue invasion in atypical meningioma.The area under the curve,sensitivity and specificity of the multimodality MRI-based nomogram model for predicting peritumoral brain tissue invasion in atypical meningioma was 0.80(95%CI 0.73-0.88),87.69%and 66.67%,respectively.The multimodality MRI-based nomogram model showed significantly higher area under the curve than that of the maximum diameter,peritumoral oedema,tumor-brain interface and rADCmin of atypical meningioma(all Z=3.665,3.904,4.359,3.701,P＜0.05).Conclusion The multimodality MRI-based nomogram model may be helpful for the prediction of peritumoral brain tissue invasion in atypical meningioma.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To investigate the correlation between myocardial fibrosis(MF)and left ventricular ejection fraction(LVEF)and myocardial injury markers in heart failure patients via cardiac magnetic resonance(CMR).Methods Seventy-six patients with heart failure were selected,including 32 cases of heart failure with preserved ejection fraction(HFpEF)(HFpEF group),15 cases of heart failure with mid-range ejection fraction(HFmEF)(HFmEF group),and 29 patients of heart failure with reduced ejection fraction(HFrEF)(HFrEF group).Additionally,7 healthy individuals undergoing physical examinations were included(control group).CMR parameters and biological markers for the heart failure groups were collected for all subjects.The differences in native T1 value and extracellular volume fraction(ECV)between the heart failure group and the control group were compared,respectively.The differences in native T1 value,ECV,late gadolinium enhancement(LGE)score,serum creatine kinase-MB(CK-MB),cardiac troponin Ⅰ knockdown(cTnI-KD),and N-terminal pro-brain natriuretic peptide(NT-proBNP)among heart failure subgroups were also compared,respectively.Spearman correlation analysis was used to examine the relationships between MF imaging indicators and LVEF,as well as NT-proBNP levels.Results The differences in native T1 value,ECV,LGE score,and NT-proBNP between the heart failure group and the control group,as well as between the heart failure subgroups were statistically significant(P＜0.05).The native T1 value,ECV,and LGE score in the heart failure group were positively correlated with NT-proBNP,and negatively correlated with LVEF.Conclusion The native T1 value,ECV value and LGE score are correlated with heart failure severity.CMR can detect myocardial injury early in patients with HFpEF and provide valuable information for risk stratification of MF.