ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveTo investigate the effects of Jianpi Qinghua granules on blood glucose fluctuations in patients with newly diagnosed overweight/obese type 2 diabetes mellitus （T2DM） and Qi-Yin deficiency syndrome from the perspective of skeletal muscle mass and function， while providing new insights for the treatment of diabetes. MethodsThis study employed a randomized， double-blind， placebo-controlled design. A total of 110 newly diagnosed overweight/obese T2DM patients meeting the inclusion criteria were randomly assigned to either the traditional Chinese medicine （TCM） group （54 cases） or the control group （56 cases）. Patients in the TCM group received Jianpi Qinghua Granules， while those in the control group received a placebo. Both groups underwent dietary and exercise guidance. After 12 weeks of intervention， blood glucose fluctuations were assessed using the following parameters： time in the target blood glucose range （TIR）， mean daily blood glucose （MBG）， standard deviation of mean daily blood glucose （SDBG）， mean amplitude of glycemic excursions （MAGE）， coefficient of variation of blood glucose （CV）， glycated hemoglobin （HbA1c） achievement rate， fasting plasma glucose （FPG）， and 2 hour postprandial glucose （2 hPG）. Skeletal muscle mass was measured by dual-energy X-ray absorptiometry （DXA）， while skeletal muscle function was evaluated using a handheld dynamometer for distal muscle strength and a 5-time sit-to-stand test for lower limb function. Additionally， pancreatic islet function and TCM syndrome scores were analyzed. ResultsNo significant differences were observed in baseline data between the two groups before intervention， ensuring comparability. After treatment， compared to the control group， the TCM group showed a significant increase in TIR （P<0.01）. While the SDBG and CV decreased， and MBG and MAGE increased in the TCM group， these differences were not statistically significant. Notably， the TCM group exhibited significant reductions in 2 hPG （P<0.01） and HbA1c （P<0.05）， though the decrease in FPG was not statistically significant. The HbA1c achievement rate in the TCM group was significantly higher than that in the control group （χ²=45.498， P<0.01）. In terms of skeletal muscle mass and function， the TCM group demonstrated a significant increase in handgrip strength （P<0.01） and a significant reduction in the 5-time sit-to-stand duration （P<0.05）. However， although body fat percentage increased， leading to a decrease in skeletal muscle mass and the ratio of skeletal muscle to fat， these changes were not statistically significant. For pancreatic islet function， the TCM group showed significant reductions in fasting insulin （FINS） and homeostasis model assessment of insulin resistance （HOMA-IR） （P<0.01）. Additionally， the TCM syndrome score in the TCM group was significantly reduced （P<0.01）. ConclusionJianpi Qinghua granules may reduce blood glucose fluctuations in newly diagnosed overweight/obese T2DM patients with Qi-Yin deficiency syndrome by enhancing skeletal muscle function， improving pancreatic islet function， and ameliorating related TCM syndromes.

Parkinson's disease （PD） is a common neurodegenerative disorder characterized by motor impairments， with its pathological mechanisms involving multiple processes such as the degeneration of dopaminergic neurons and the abnormal aggregation of α-synuclein. Current Western medical treatments face challenges including diminished long-term efficacy and motor complications. In recent years， Traditional Chinese Medicine （TCM） has demonstrated advantages in the prevention and treatment of PD through its systematic regulatory capabilities， featuring multi-component， multi-target， and multi-pathway approaches.This article systematically reviews the roles of seven key signaling pathways-NF-κB， AMPK/mTOR， PI3K/Akt， MAPKs， Nrf2/ARE， Wnt/β-catenin， and BDNF/TrkB-in the pathological process of PD and the regulatory mechanisms of TCM. Research indicates that active ingredients of Chinese herbs and compound formulations can synergistically modulate these pathways， exerting comprehensive effects in inhibiting neuroinflammation， alleviating oxidative stress， promoting autophagy to clear abnormal proteins， and enhancing neurotrophic support. These signaling pathways form a complex regulatory network through crosstalk among key nodal molecules， constituting an intricate regulatory system in PD pathology. The multi-target intervention characteristics of TCM align well with this network-based regulatory requirement， achieving integrated anti-inflammatory， antioxidant， autophagy-regulating， and neurorestorative effects through synergistic multi-pathway modulation. This article systematically outlines the mechanisms of TCM in the coordinated regulation of multiple pathways， providing a theoretical basis for elucidating the pathological process of PD and the intervention mechanisms of TCM， while also offering new perspectives and directions for modern research on TCM in the prevention and treatment of PD.

OBJECTIVE: To explore the effectiveness of arthroscopic release of elbow joint assisted by medial small incision ulnar nerve release in the treatment of non-traumatic elbow stiffness. METHODS: The clinical data of 15 patients with non-traumatic elbow stiffness treated with arthroscopic release of elbow joint assisted by medial small incision ulnar nerve release between April 2019 and September 2023 were retrospectively analyzed. There were 6 males and 9 females with an average age of 46 years ranging from 34 to 56 years. The causes included rheumatoid arthritis in 3 cases, gouty arthritis in 2 cases, loose bodies in 3 cases, and elbow osteoarthritis in 7 cases. There were 4 cases with ulnar neuritis and 3 cases with synovial osteochondromatosis. The duration of elbow stiffness ranged from 6 to 18 months, with an average of 10 months. The operation time and intraoperative blood loss were recorded. The effectiveness was evaluated by visual analogue scale (VAS) score, range of elbow motion (maximum flexion, maximum extension, and total flexion and extension), Mayo score, and Hospital for Special Surgery (HSS) elbow score. RESULTS: The operation time was 60-90 minutes, with an average of 65 minutes, and the intraoperative blood loss was 40-100 mL, with an average of 62 mL. All patients were followed up 13-18 months, with an average of 14 months. There was no complication such as vascular and nerve injury, poor wound healing, collateral ligament injury, elbow joint space narrowing, osteophyte proliferation, or loose body formation around the joint. At last follow-up, the elbow range of motion (maximum flexion, maximum extension, and total flexion and extension), VAS score, and Mayo score significantly improved when compared with those before operation ( P<0.05). The HSS elbow score was 85-95, with an average of 92; 12 cases were excellent, 3 cases were good, and the excellent and good rate was 100%. CONCLUSION Arthroscopic release of elbow joint assisted by medial small incision ulnar nerve release is an effective way to treat non-traumatic elbow stiffness, which has the advantages of small trauma, short operation time, and good effectiveness. It can carry out early elbow rehabilitation training and significantly improve elbow function.
Humans ; Male ; Female ; Arthroscopy/methods* ; Adult ; Middle Aged ; Elbow Joint/physiopathology* ; Retrospective Studies ; Range of Motion, Articular ; Treatment Outcome ; Ulnar Nerve/surgery* ; Operative Time

Objective To establish an animal model of hand,foot,and mouth disease(HFMD)in Syrian hamsters coinfected with coxsackievirus A6(CVA6)and coxsackievirus B1(CVB1).Methods 42 Syrian hamsters were divided into a CVA6 infection group,CVB1 infection group,CVA6 and CVB1 coinfection group and control group.A HFMD model was established by nasal instillation of virus solution and phosphate-buffered saline.Clinical and physiological indicators and detoxification status were monitored and recorded for 15 d,and animals were selected on day 7(D7)after infection for histopathology and viral antigen and nucleic acid testing.Results Hamsters in the single-infection and coinfection groups showed clinical symptoms similar to human HFMD.White blood cell,neutrophil,and lymphocyte result were characteristic of viral infection.Both viral nucleic acids were detected in throat swabs,feces,blood,and tissues and both viruses were isolated from fecal samples.Pathological damage and positive co-localization of CVA6 and CVB1 viral antigen proteins and nucleic acids were found in brain and other tissues.Conclusions Nasal instillation of a CVA6 and CVB1 mixture can successfully coinfect Syrian hamsters,replicate herpes infection similar to human HFMD,and cause pathological viral myocarditis and encephalitis damage.The result showed that the coinfection group was more seriously affected than the single-infection group,with worse clinical symptoms,increased viral replication,and obvious tissue pathological damage.This study provides a reference for further basic and clinical research into human enterovirus coinfection.

Objective To investigate the characteristics of liver injury in the Lieber-DeCarli alcoholic liver disease(ALD)mouse model and to analyze its transcriptomic profile.Methods Eighteen male C57BL/6J mice were randomly divided into an alcohol-fed group(n = 10)and a control group(n = 8).The alcohol-fed group received a Lieber-DeCarli ethanol diet,starting with an adaptive one-week phase using incremental concentrations of ethanol(10～57.3 mL/L),followed by 2 weeks of a 57.3 mL/L concentration of 95％ethanol,for a total of 3 weeks.The control group was provided with an isocaloric control diet for 3 weeks.At the end of the study,mice were sacrificed,and serum and liver tissue samples were collected.Serum liver function markers(ALT,AST),hepatic lipids(TC,TG),reduced glutathione(GSH),total superoxide dismutase(T-SOD),and malondialdehyde(MDA)were measured using biochemical assays.The levels of inflammatory cytokines(IL-6,IL-10,TNF-α,TGF-β1)in liver tissue were assessed by ELISA.Histopathological changes in liver tissue were examined using hematoxylin-eosin(HE)and Oil Red O staining.Immunohistochemical staining using the F4/80 antibody was employed to assess changes in macrophage expression.RNA-seq analysis was conducted to identify differentially expressed genes between the two groups of liver tissues,followed by GO and KEGG pathway enrichment analysis.qRT-PCR was used to validate the expression of these differentially expressed genes.Results Compared with the control group,the alcohol-fed mice exhibited a significant decrease in body weight(P<0.01).Serum ALT and AST levels were significantly elevated(P<0.01),while liver tissue levels of TC,TG,and MDA were significantly increased(P<0.05).Conversely,GSH and T-SOD levels were significantly reduced(P<0.05).The levels of inflammatory factors IL-6,TNF-α,and TGF-β1 were increased,which was consistent with the qRT-PCR validation results(P<0.05).Histological examination revealed disrupted hepatic lobular structure,with macrovesicular steatosis,microvesicular steatosis,and ballooning degeneration.Additionally,fat droplets in liver tissue were significantly increased,and macrophage expression was upregulated.Differential gene expression analysis,using a threshold of|log2 FC|>1 and q<0.05,identified 2063 differentially expressed genes,of which 1236 were upregulated and 827 downregulated.Enriched pathways included xenobiotic metabolism via cytochrome P450,cytokine-cytokine receptor interaction,chemokine signaling,steroid hormone biosynthesis,glutathione metabolism,and retinol metabolism.(P<0.05).qRT-PCR validation confirmed the significant upregulation(e.g.,Mmp12,Gstm3,Cyp2a22)and downregulation(e.g.,Serpina1e,Acmsd,Mup3d)of 10 genes from each category,consistent with the transcriptome sequencing results.Conclusions The primary pathological mechanisms underlying alcoholic liver injury involve pathways related to xenobiotic metabolism and act via cytochrome P450,cytokine-cytokine receptor interaction,chemokine signaling,glutathione metabolism,and retinol metabolism.

With the increasing awareness of health among the public and the widespread use of low-dose spiral CT screening, the detection rate of pulmonary nodules has risen significantly.Notably, the incidence of pulmonary nodules is considerably higher among the elderly population, which presents unique challenges due to their specific physiological conditions.This article aims to review and explore the commonly employed treatment methods for pulmonary nodules, including surgical interventions, stereotactic radiation therapy, image-guided local ablation therapy, and systemic treatment strategies.We will analyze the clinical application status and technical characteristics of these various treatment modalities, with a particular focus on the current research hotspot of ground glass nodules(GGNs)within the context of pulmonary nodules.This analysis will provide insights for developing personalized treatment strategies tailored to elderly patients.Additionally, we will examine the role of multidisciplinary team(MDT)management and collaborative decision-making between doctors and patients in achieving precise and personalized diagnosis and treatment for individuals with pulmonary nodules.

Objective:To characterize fine motor function in middle-aged and elderly individuals utilizing a novel wearable inertial motion capture device.Additionally, it seeks to investigate the relationship between fine motor deficits and overall cognitive function, as well as various cognitive dimensions.Methods:Participants aged 50 years and older were recruited between November 2022 and April 2023.The Montreal Cognitive Assessment Scale(MoCA)was employed to evaluate the cognitive function of the subjects, and a radar chart was utilized to illustrate the extent of impairment across different cognitive dimensions.An independent computerized fine motor evaluation system was developed using the motion capture technology of a novel wearable microelectromechanical system(MEMS)inertial sensor, enabling a quantitative assessment of fine motor skills.The differences in fine motor function characteristics between the two groups were compared.Spearman's correlation analysis and multivariate logistic regression were conducted to examine the relationship between fine motor deficits and cognitive dysfunction.Results:A total of 289 participants were recruited, among whom 140(48.4%)were classified into the cognitive impairment group.The mean MoCA scores for the cognitive impairment group and the non-cognitive impairment group were 22.2 ± 2.79 and 27.7 ± 1.19, respectively( P<0.001).The electronic assessment of fine motor function revealed that the motion parameters of hand function in the cognitive impairment group were significantly poorer across all three numerical evaluation tasks.Spearman's correlation analysis demonstrated a robust correlation between deficits in fine motor function and cognitive dysfunction.Furthermore, in the multiple logistic regression model, after adjusting for potential confounding factors including age, gender, and education level, a significant association between cognitive dysfunction and fine motor dysfunction persisted. Conclusions:A novel wearable motion capture technology was employed to facilitate the digital assessment of fine motor function.The findings revealed a significant correlation between deficits in fine motor function and cognitive dysfunction among middle-aged and elderly populations.

Objective To compare the serological and pathological characteristics of 3 nonalcoholic steatohepatitis(NASH)models:high-fat diet(HFD)with carbon tetrachloride(CCl4)injection,methionine and choline deficient diet(MCD),and Aymlin liver NASH(AMLN)diet-induced NASH models.Methods 3 NASH models were established by feeding mice an HFD with CCl4 injection for 10 weeks,MCD for 8 weeks and NASH for 26 weeks.After feeding,serum alanine aminotransferase(ALT),aspartate aminotransferase(AST),glucose(GLU),liver triglyceride(TG),total cholesterol(TC),and malondialdehyde(MDA)levels and superoxide dismutase(SOD)activity were measured.Insulin levels were measured by enzyme-linked immunosorbent assay(ELISA)and the homeostasis model assessment of insulin resistant(HOMA-IR)index was calculated.Hematoxylin-eosin(HE),Sirius red,and oil red staining were used to indicate pathological changes to the liver.The NAS score was used to grade the pathology.Results Compared to each normal control(NC)group mice,all mice in the 3 model groups had an obvious increase in serum transaminase and liver TG,TC,MDA levels and SOD activity.The levels of serum FINS,GLU and the HOMA-IR index were significantly increased in the AMLN and CCl4+HFD model groups but decreased in the MCD model group.According to the HE,oil red staining and NAS score,mice in all 3 groups had NASH phenotypic changes.Liver collagen deposition was most obvious in mice in theCCl4+HFD model group.Liver lipid droplets were most abundant in the AMLN model group.Conclusions All the above 3 animal models can stably simulate the serological and pathological changes of NASH in human.The AMLN model can simulate the progress and mechanism of the disease,as well as systemic metabolic disorders such as insulin resistance and oxidative stress.However,it is time-consuming and the fibrosis progression rate is slow.The MCD diet can simulate the serological and pathological features of NASH in 8 weeks,but no obesity or insulin resistance occurred.The CCl4 combined with HFD model can induce NASH model in 10 weeks,which can simulate its serological and pathological changes,and the liver has obvious fibrous deposition and oxidative stress damage.