Based on the theory of the liver's"using bitter herbs to nourish or purge"from Huangdi Neijing,this paper systematically elucidates the theoretical foundation for treating functional constipation from liver.Focusing on the physiological characteristic of"liver desires to disperse"and the pathological manifestation of"liver bitterness and urgency,"combined with the"liver communicates with the large intestine"theory,this paper establishes a diagnostic and therapeutic framework for managing functional constipation by regulating liver function.The pathological evolution of functional constipation manifests in three distinct stages:in the early stage,liver qi stagnation leads to large intestine qi obstruction,where damaged by an excess of seven emotions resulting in symptoms such as difficult defecation,abdominal bloating,and hypochondriac pain;in the middle stage,liver depression transforms into fire,scorching bodily fluids to generate dryness,thereby creating a pathological interplay of stagnation,fire,and dryness,which is marked by anal heat,dry mouth,and yellow urine;in the late stage,yin deficiency in liver and kidney causes large intestine malnutrition,resulting in a complex pathological state where yin deficiency,collateral blockage,dryness accumulation,and blood stasis intertwine,clinically manifesting as pellet-like stools(resembling sheep feces)and soreness and weakness of the waist and knees.In treatment,the formula design follows the principle of"sweetness to relieve,acridity to tonify,and sourness to purge,"with treatment principles varying across stages.In the early stage,the focus is on dispersing liver and regulating qi,and unblocking the zang-fu viscera;in the middle stage,the priority shifts to clearing heat-fire,nourishing large intestine,and promoting fluid production;whereas,in the late stage,the emphasis lies on nourishing yin,unblocking collaterals,and promoting blood circulation.This staged treatment of functional constipation overcomes the limitations of solely focusing on nourishing large intestine and facilitating feces excretion,thereby advancing the treatment of different stages based on syndrome differentiation and personalized treatment.It provides theoretical support for improving patients' intestinal function and enhancing overall health outcomes.

Objective:To explore the influencing factors of self-management of first-treatment pulmonary tuberculosis patients based on the random forest model, and to provide a theoretical basis for clinical staff to improve the self-management of pulmonary tuberculosis patients by providing efficient, high-quality, and individualized interventions.Methods:A cross-sectional study was used to select pulmonary tuberculosis patients who were hospitalized in the Department of Respiratory Medicine of the Fourth People′s Hospital of the Ningxia Hui Autonomous Region and who met the inclusion and exclusion criteria from December 2023 to February 2024 by using the convenience sampling method as the study subjects. General information questionnaire, Chronic Disease Patients′ Self-health Management Ability Assessment Scale, Perceived Social Support Scale, Hospital Anxiety and Depression Scale, and a tuberculosis prevention and treatment knowledge questionnaire were used to conduct the survey, and Spearman′s correlation was used to analyze the correlation between variables, and multivariate linear regression and a random forest model were used to analyze the influencing factors of self-management.Results:A total of 204 first-treatment pulmonary tuberculosis patients, 111 males and 93 females, 64 patients aged 18-44 years, 59 patients aged 45-59 years, and 81 patients ≥60 years were finally investigated. The total self-management score of tuberculosis patients was 162.00 (148.00, 176.75), and the total self-management score was positively correlated with the total perceived social support score, family support, friend support, and other support, respectively ( r values were 0.307-0.400, all P<0.01), negatively correlated with the anxiety and depression scores, respectively ( r=-0.195, -0.313, both P<0.01), and positively correlated with the total score of knowledge of tuberculosis control ( r=0.257, P<0.01); the results of multiple linear stepwise regression analysis showed that literacy, family support, other support, anxiety, and knowledge of tuberculosis control were the influencing factors of self-management ability ( t values were -2.89-2.98, all P<0.05), which explained a total of 23.1% of the total variance; and the random forest model ranked the importance of the influencing factors in the order of high to low were other support, family support, knowledge of tuberculosis control, literacy, and anxiety. Conclusions:The self-management of first-treatment pulmonary tuberculosis patients is at an intermediate level, In order to improve the self-management ability of first-treatment pulmonary tuberculosis patients, clinical personnel should establish a "patient-centered" self-management education concept, pay attention to the construction of their social support system, provide adequate, continuous, individualized knowledge education and information support, promote their psychological health, and reduce their negative emotions.

Objective To evaluate the modeling characteristics and predictive performance of models for predicting post-stroke neurological deterioration(ND)published in existing literatures.Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)guidance for scoping reviews,a comprehensive search was conducted in PubMed,CINAHL,Cochrane Library,Embase,Web of Science,Scopus,CNKI,Wanfang Data,and VIP databases from inception to December 15,2024.The search strategy combined Medical Subject Headings(MeSH)and free-text terms,with key words including"Stroke""Ischemic Stroke""Neurological Deterioration""Nomograms""Risk Prediction""Predictive Models""卒中""脑梗死""脑出血""神经功能恶化"and"预测模型".Base on the data extraction checklist and critical appraisal,data extraction covered three domains:(1)basic characteristics,including author,publication year,country,study design(retrospective,prospective,registry-based),sample source(single-center,multicenter),stroke subtypes(acute ischemic stroke[AIS]-conservative therapy,AIS-intravenous thrombolysis[IVT],AIS-endovascular therapy[EVT],intracerebral hemorrhage[ICH]),ND time windows(acute[≤72 h],subacute[≤ 7 d],long-term[≤90 d]),and outcome types(single/composite endpoints);(2)model evaluation metrics,including missing data handling(complete-case analysis,multiple imputation),model development methodologies(multivariate Logistic regression,least absolute shrinkage and selection operator regression,machine learning),presentation formats(nomograms,web calculators,risk prediction tool),discrimination(area under the curve,C-index),calibration(Hosmer-Lemeshow test,calibration curve and slope),clinical utility(decision curve analysis[DCA],global metrics Brier score,R2,AIC),sample size(training set,internal validation set,external validation set),sample size requirements(events per variable[EPV]≥10 to mitigate overfitting),and validation(internal/external);(3)predictor features,including selection strategies(prior knowledge-driven,univariate analysis),quantity,and attributes(demographics,medical history,physical examination,treatment intervention information,imaging/laboratory indicators).Predictive models that meet exclusion criteria from prior literature were analyzed by their discrimination,calibration,clinical utility and global metrics.Forest plots were utilized to visualize discrimination(evaluated via difference in area under the curve)of the extracted models.The prediction model risk of bias assessment tool(PROBAST)was applied to assess bias risk and clinical applicability.Occurrence frequencies of the post-stroke neurological deterioration predictors were ranked and the top 6 high-frequency predictors were extracted.Results(1)Among 3 728 screened studies,25 were included based on the inclusion and exclusion criteria.(2)Basic characteristics:retrospective(72％[18/25])and single-center(64％[16/25])designs dominated.With most models targeted on AIS(92％[23/25]),and the rest(8％[2/25])on ICH.ND was primarily defined by neurological scale changes(60％[15/25];e.g.,National Institutes of Health stroke scale[NIHSS]score increase or Glasgow coma scale[GCS]score decrease),with time windows categorized as acute(36％[9/25]),subacute(48％[12/25]),or long-term(16％[4/25]).(3)Model evaluation:multivariate Logistic regression(96％[24/25])and nomograms(88％[22/25])were predominant.Only 24％(6/25)explicitly addressed missing data handling methods,and 52％(13/25)with EPV≥10.The median area under the curve was 0.865(range:0.650-0.981).44％(11/25)of the studies reported calibration curves,and 4％(1/25)reported calibration slopes.All studies utilized DCA to validate their clinical applicability,84％(21/25)of the studies conducted internal validation,while only 32％(8/25)conducted external validation.PROBAST evaluation revealed low overall bias risk in 8％(2/25;no error across participant,predictor,outcome,or analysis domains)and low clinical applicability risk in 44％(11/25;alignment with target populations,accessible predictors,and clinically relevant outcomes)of the studies.(4)Predictors:64％(16/25)of the predictor were screened predominantly through the prior knowledge-driven based strategy.The top 6 high-frequency predictors are NIHSS score(64％[16/25]),age(36％[9/25]),blood glucose/diabetes(36％[9/25]),blood pressure/hypertension(32％[8/25]),the Alberta stroke program early CT score(20％[5/25]),and neutrophil-to-lymphocyte ratio(20％[5/25]).AIS-ND predictors emphasized readily available metrics,such as NIHSS(65％[15/23]),age(35％[8/23]),while ICH-ND primarily relied on imaging markers(e.g.,baseline hematoma volume[2/2],location[1/2]).Conclusion Current post-stroke ND predictive models demonstrate satisfactory performance on discrimination and multimodal integration,but their practical application are hindered by insufficient calibration quantification,high bias risk,and limited clinical translatability.

To characterize the genomes of different emm-type group A Streptococcus (GAS), their virulence genes and drug resistance profiles in Tianjin City from 2011 to 2024. After PCR, a total of 42 strains with different years and emm types were selected for whole genome sequencing and multi-locus sequence typing (MLST), and the core genomes were used to generate a phylogenetic tree, after which the virulence genes and resistance genes were identified and analyzed, followed by the drug susceptibility test. In this study, the GAS strains were dominated by emm1 (50.0%) and emm12 (40.4%), and the MLST phenotypes were categorized into six types: ST36 (40.4%), ST1274 (26.1%), ST28 (23.8%), ST921 (4.7%), ST46 (2.3%), and ST403 (2.3%). There was a high consistency between their emm-types and ST types. A total of 68 virulence genes were detected in the genomes of 42 GAS strains, involving functional genes encoding exotoxin, bacterial adhesion, extracellular enzymes, etc. The virulence genes they carried were significantly different between emm1-type and emm12-type strains, such as speA. At the same time, the carrying rates of some virulence genes in the same emm-type strains changed with time, such as hyl. The resistance genes were basically the same among different emm-type strains except for the vanSE gene detected in all emm12 strains. The results of drug sensitivity showed that the GAS strains isolated in Tianjin City from 2011 to 2024 were sensitive to penicillin, cefazolin, chloramphenicol, vancomycin, and levofloxacin, while the resistance rates to erythromycin, azithromycin, clarithromycin, and clindamycin ranged from 88.5% to 100.0%, and there was a certain degree of consistency between the resistance phenotypes and the detected resistance genes. Overall, the main emm types and evolutionary features of GAS in Tianjin City from 2011 to 2024 were consistent with the dominant types in China, and the carrying rate of virulence genes and drug resistance genes differed significantly among different emm-type strains, and there were continuous evolution and variation in the prevalence of virulence genes in GAS.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

The number of maintenance hemodialysis patients in China has been steadily increasing. With the continuous iteration of technological innovations, healthcare has entered a new phase of digital healthcare development. This paper summarizes the overview and development of digital healthcare and its application in patients with maintenance hemodialysis. It also discusses existing challenges and corresponding strategies, aiming to provide references for the development of digital healthcare in hemodialysis.

Objective:To explore effect of Yishen Paidu Formula on inflammatory response in chronic renal failure(CRF)rats and role of Calcineurin/nuclear factor of activated T cell(NFAT).Methods:CRF rat model was constructed,and randomly grouped into model group,low,medium and high doses Yishen Paidu Formula groups,with 10 rats in each group,another 10 rats were fed normally as a blank group;general situation of rats was recorded;urine protein quantification kit was applied to detect 24-hour urine protein level of CRF rats in each group;serum creatinine and urea nitrogen levels of CRF rats were detected;ELISA was applied to detect serum IL-1β,IL-6 and TNF-α levels in CRF rats;pathological changes of renal tissue were observed by HE staining;Western blot was applied to detect expressions of fibroblast growth factor 23(FGF23),Klotho protein,Calcineurin,NFAT protein in renal tissue of CRF rats in each group.Results:Compared with blank group,levels of creatinine,urea nitrogen in serum,24 h urine protein in urine,IL-1β,IL-6,TNF-α in serum,and protein levels of FGF23,Calcineurin,NFAT in kidney tissue were obviously increased in model group,level of Klotho protein was obviously decreased(P<0.05).Compared with model group,levels of creatinine,urea nitrogen in serum,24 h urine protein in urine,IL-1β,IL-6,TNF-α in serum,and protein levels of FGF23,Calcineurin,NFAT in kidney tissue were obviously decreased in low,medium and high doses Yishen Paidu Formula groups,level of Klotho protein was obviously increased,which were more significant with dosage increase(P<0.05).Conclusion:Yishen Paidu Formula may alleviate inflammatory response in CRF rats by inhibiting Calcineurin/NFAT signaling pathway.

Dampness-heat syndrome of the spleen and stomach refers to the evil dampness-heat invading the spleen and stomach,the abnormal rise and fall of the middle jiaoqi machinery,dampness-heat depression and steaming,the physiological dysfunction of the spleen and stomach,with abdominal distention and distention,nausea and lethargy of the limbs,poor loose stool,red tongue and yellow greasy fur,and slippery pulse as the main symptoms of the syndrome,most common in digestive system diseases,among which chronic gastritis is the first.This paper summarized the research results in the past decade and related fields.In the mode of combination of disease and syndrome,based on the principle of corresponding prescription and syndrome,combined with the etiology and pathogenesis evolution of spleen and stomach damp-heat syndrome,the biological connotation of spleen and stomach damp-heat syndrome was explained from various aspects such as inflammation and immune disorders,gastrointestinal motivity disorders,water and humidity loss,endoplasmic reticulum function,and micro-ecological disorders.Enrich the research of the essence of syndrome.

N-acetyl-p-aminophenol （APAP） is an antipyretic analgesic commonly used in clinical practice， and APAP overdose can cause severe liver injury and even death. In recent years， the incidence rate of APAP-induced liver injury （AILI） tends to increase， and it has become the second most common cause of liver transplantation worldwide. Autophagy is a highly conserved catabolic process that removes unwanted cytosolic proteins and organelles through lysosomal degradation to achieve the metabolic needs of cells themselves and the renewal of organelles. A large number of studies have shown that autophagy plays a key role in the pathophysiology of AILI， involving the mechanisms such as APAP protein conjugates， oxidative stress， JNK activation， mitochondrial dysfunction， inflammatory response and apoptosis. This article elaborates on the biological mechanism of autophagy in AILI， in order to provide a theoretical basis for the treatment of AILI and the development of autophagy regulators.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis