ObjectiveThis study aimed to investigate whether Bushen Tongluo prescription inhibits macrophage polarization by regulating the Wnt3a/β-catenin signaling pathway， thereby reducing epithelial-mesenchymal transition and excessive extracellular matrix deposition， in order to elucidate the anti-pulmonary fibrosis mechanisms of Bushen Tongluo prescription and provide a new theoretical basis for the clinical treatment of pulmonary fibrosis. MethodsFifty male Sprague-Dawley （SD） rats were randomly divided into a blank group， model group， pirfenidone group， and high- and low-dose Bushen Tongluo prescription groups. Except for the blank group， the pulmonary fibrosis model was established by intratracheal instillation of bleomycin. Intervention was initiated on day 28 after modeling. The high- and low-dose Bushen Tongluo prescription groups were administered Bushen Tongluo prescription at doses of 30.88， 15.44 g·kg^-1， respectively， by intragastric gavage. The pirfenidone group was administered pirfenidone capsules at 110 mg·kg^-1 by intragastric gavage. The blank and model groups were given an equal volume of normal saline by gavage， once daily for 90 days. After treatment， the level of transforming growth factor-β₁ （TGF-β₁） in bronchoalveolar lavage fluid （BALF） was detected by enzyme-linked immunosorbent assay （ELISA）. Morphological changes in lung tissue and the collagen volume fraction were compared. The protein distribution and expression of E-cadherin， cytokeratin 19， α-smooth muscle actin （α-SMA）， vimentin， collagen type Ⅰ （Col Ⅰ）， and collagen type Ⅲ （Col Ⅲ） in lung tissue were detected by immunohistochemistry. The protein distribution and expression of CD68， arginase-1 （Arg-1）， inducible nitric oxide synthase （iNOS）， Wnt3a， and β-catenin in lung tissue were detected by immunofluorescence. The protein expression of Wnt3a and β-catenin in lung tissue was detected by Western blot， and the mRNA expression of Wnt3a and β-catenin was detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， a large number of inflammatory cells infiltrated the airway walls， alveolar spaces， and interstitial tissue in the model group， with obvious fibrous tissue hyperplasia. The level of TGF-β₁ in BALF was significantly increased. The protein expression of E-cadherin and cytokeratin 19 in lung tissue was decreased， whereas the protein expression of α-SMA， Vimentin， Wnt3a， β-catenin， Col Ⅰ， and Col Ⅲ was increased. The fluorescence-positive area ratios of CD68， Arg-1， iNOS， Wnt3a， and β-catenin in lung tissue were increased. The protein and mRNA expression levels of Wnt3a and β-catenin in lung tissue were significantly increased （P<0.01）. Compared with the model group， all treatment groups showed varying degrees of improvement in inflammatory cell infiltration and fibrous tissue hyperplasia in the airway walls， alveolar spaces， and interstitial tissue， decreased TGF-β₁ levels in BALF， increased protein expression of E-cadherin and cytokeratin 19 in lung tissue， decreased protein expression of α-SMA， Vimentin， Col Ⅰ， and Col Ⅲ， decreased fluorescence-positive area ratios of CD68， Arg-1， iNOS， Wnt3a， and β-catenin in lung tissue， and decreased protein and mRNA expression levels of Wnt3a and β-catenin in lung tissue （P<0.05， P<0.01）. ConclusionBushen Tongluo prescription can improve bleomycin-induced pulmonary fibrosis in rats by inhibiting epithelial-mesenchymal transition and reducing excessive extracellular matrix deposition. The mechanism may be related to inhibition of the Wnt3a/β-catenin signaling pathway and the macrophage polarization mediated by this pathway.

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 establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

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 se-rotonin 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.

Autoimmune hepatitis(AIH)is a type of chronic hepatitis caused by the attack of hepatocytes by the autoimmune system,and with the prolongation of disease course,it may gradually progress to liver cirrhosis and even hepatocellular carcinoma.Although great achievements have been made in the understanding and treatment of AIH,its etiology and pathogenesis still remain unclear.T cells play a crucial role in the development and progression of AIH,and by focusing on follicular helper T cells,this article elaborates on the research advances in follicular helper T cells in AIH,in order to provide new ideas and strategies for the clinical treatment of AIH.

Autoimmune hepatitis(AIH)is chronic hepatitis caused by the attack of live cells by the immune system,and at present,the pathogenesis of AIH remains unclear.Inflammasomes are important components of innate immunity and are involved in a variety of pathophysiological processes.Studies have shown that inflammatory response associated with nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)plays an important role in the pathogenesis of AIH,which mainly mediates the release of proinflammatory factors and pyroptosis,thereby participating in the pathophysiological process of AIH.Therefore,the development and progression of AIH can be delayed by inhibiting the activation of NLRP3 inflammasomes,which provides new ideas for the prevention and treatment of AIH.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

Objective To explore the common features of Chinese ethnic groups.Methods Eight body indexes of 62 ethnic groups in China were analyzed.Results The cluster analysis showed that 52 males and 59 females ethnic groups were grouped into the mixed group dominated by the northern ethnic group and the mixed group dominated by the southern ethnic group.Eight Han ethnic groups were grouped into each group,but no Han group was aggregated.The result of body index classification showed that the main body types of Chinese male population were long trunk,middle chest,wide shoulder,wide pelvis and middle leg.Middle body,wide chest,wide shoulder,wide pelvis and middle leg were the main body types of Chinese female population.This showed that the characteristics of Chinese ethnic groups had obvious consistency.The consistency of Chinese group features was related to its close origin.It should be said that Han nationality played an important role in the process of communication and integration of various ethnic groups in China.In the history of the Han nationality,there had been many large-scale population migration.The southern movement of the northern ethnic minorities into the northern Han and the southward movement of the northern Han into the south promoted the formation of the Southern Han,which made the southern Han and the northern Han had similar body features,and also promoted the southern ethnic minorities into the southern Han.In addition,the Han nationality who moved into minority areas also gradually integrated into minority areas.Conclusion There are obvious commonalities in Chinese ethnic groups.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To explore root cause of poor prognosis after successful endovascular treatment(EVT)in patients with acute ischemic stroke with large vascular occlusion(AIS-LVO)of anterior circulation.Methods Patients with AIS-LOV of anterior circulation who received successful EVT(postoperative modified thrombolysis incerebral infarction[mTICI]grade≥2b)were retrospectively and continuously collected in the Department of Neurology of Bozhou People's Hospital from January 2022 to March 2024.The baseline and clinical data of the patients were collected,including gender,age,vascular risk factors(hypertension,diabetes,coronary heart disease,hyperlipidemia,valvular heart disease,atrial fibrillation,smoking,and alcohol consumption),prior stroke or transient ischemic attack,baseline blood pressure,baseline National Institutes of Health Stroke scale(NIHSS)score,laboratory test indicators(pre-operative C-reactive protein and D-dimer,post-operative fasting blood glucose,lipid levels,homocysteine,etc).Meanwhile,the data of perioperative indicators was collected,including the time from onset to admission,the time from admission to puncture,the time from puncture to revascularization,the time from onset to puncture,the time from onset to revascularization,remedial measures(balloon dilation,stent placement,arterial thrombolysis)during the surgery or not,using tirofiban or not,postoperative complications(stroke-related pneumonia,stress ulcers,deep vein thrombosis,acute heart failure or renal failure,etc)or not.The patient's medical history and imaging data were collected,and these indicators were defined and collected,including Alberta stroke program early CT score(ASPECTS),location of occlusion(C1 segment of the internal carotid artery,C2 segment to C7 segment of the internal carotid artery,M1 segment of the middle cerebral artery),and the trial of org 10172 in acute stroke treatment(TOAST)classification and a postoperative transformation of cerebral infarction after ischemic stroke and symptomatic intracranial hemorrhage or not.According to the modified Rankin scale(mRS)score at 90 d after surgery,all patients were divided into poor prognosis group(mRS score≥ 3)and good prognosis group(mRS score≤2).The baseline and clinical data of two groups were compared using univariate analysis.Variables with P＜0.1 in the univariate analysis were selected as independent variables,and the poor prognosis was used as the dependent variable.Further,multivariate Logistic regression analysis was performed to identify the influencing factors of poor prognosis after EVT.Results Finally,a total of 192 patients with AIS-LVO of anterior circulation who received successful revascularization were included in this study.There were 101 male patients and 91 female patients.The poor prognosis group had 102 cases and the good prognosis group had 90 cases.Univariate analysis showed that the poor prognosis group had statistically significant differences with the good prognosis group in terms of age(Z=-3.088,P=0.002)and age distribution(x2=13.457,P=0.001),fasting blood glucose(Z=-3.347,P=0.001),baseline NIHSS score(Z=-4.469,P＜0.01),location of occlusion(x2=10.488,P=0.005),transformation of hemorrhage after ischemic stroke(x2=16.943,P＜0.01),and symptomatic intracranial hemorrhage(X2=25.449,P＜0.01),and the baseline ASPECTS of the poor prognosis group was significantly lower than that of the good prognosis group(Z=-4.547,P＜0.01).There were no significant differences in other baseline and clinical data(all P＞0.05).Further multivariate Logistic regression analysis showed that age＞80 years(OR,3.224,95％CI 1.033-10.058,P=0.044),baseline NIHSS score(OR,1.102,95％CI 1.013-1.199,P=0.023),baseline ASPECTS(OR,0.375,95％CI 0.212-0.665,P=0.001),and symptomatic intracranial hemorrhage(OR,7.127,95％CI 1.296-39.203,P=0.024)were independent influencing factors of poor prognosis.Conclusion The independent factors of 90 d poor prognosis after successful EVT in patients with AIS-LVO of anterior circulation are age＞80 years,baseline NIHSS score,baseline ASPECTS,and symptomatic intracranial hemorrhage.