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.

Inflammatory bowel disease (IBD) is a chronic inflammatory disorder of the gastrointestinal tract, which increases the incidence of colorectal cancer (CRC). In the pathophysiology of IBD, ubiquitination/deubiquitination plays a critical regulatory function. Josephin domain containing 2 (JOSD2), a deubiquitinating enzyme, controls cell proliferation and carcinogenesis. However, its role in IBD remains unknown. Colitis mice model developed by dextran sodium sulfate (DSS) or colon tissues from individuals with ulcerative colitis and Crohn's disease showed a significant upregulation of JOSD2 expression in the macrophages. JOSD2 deficiency exacerbated the phenotypes of DSS-induced colitis by enhancing colon inflammation. DSS-challenged mice with myeloid-specific JOSD2 deletion developed severe colitis after bone marrow transplantation. Mechanistically, JOSD2 binds to the C-terminal of inosine-5'-monophosphate dehydrogenase 2 (IMPDH2) and preferentially cleaves K63-linked polyubiquitin chains at the K134 site, suppressing IMPDH2 activity and preventing activation of nuclear factor kappa B (NF-κB) and inflammation in macrophages. It was also shown that JOSD2 knockout significantly exacerbated increased azoxymethane (AOM)/DSS-induced CRC, and AAV6-mediated JOSD2 overexpression in macrophages prevented the development of colitis in mice. These outcomes reveal a novel role for JOSD2 in colitis through deubiquitinating IMPDH2, suggesting that targeting JOSD2 is a potential strategy for treating IBD.

Objective:To explore the efficacy of non-invasive prenatal testing (NIPT) of fetal free DNA in maternal peripheral blood in fetuses with increased nuchal translucency (NT).Methods:A retrospective analysis was conducted on 1 184 singleton pregnant women that underwent chromosomal microarray analysis (CMA) at Nanjing Drum Tower Hospital, Nanjing University Medical School from June 2014 to December 2022 due to fetal increased NT (≥3.0 mm). These subjects were categorized based on whether the increased NT was accompanied by other high-risk factors into isolated increased NT without advanced maternal age (further subdivided into 3.0 mm≤NT<3.5 mm, 3.5 mm≤NT<4.0 mm, and NT≥4.0 mm subgroups), isolated increased NT with advanced maternal age, increased NT with nasal bone abnormalities, increased NT with other soft markers, and increased NT with structural abnormalities groups. Assuming the sensitivity and specificity of NIPT and expanded NIPT at this center were both 100%, genomic abnormalities outside the detection range of NIPT or expanded NIPT were termed as residual risk of NIPT or expanded NIPT. Chi-square test and Bonferroni correction were used to compare the residual risks of NIPT and expanded NIPT among the three subgroups of isolated increased NT without advanced maternal age group. Results:(1) In the group of isolated increased NT without advanced maternal age: For the 3.0 mm≤NT<3.5 mm subgroup (329 cases), 19 abnormalities were detected by CMA [12 cases of chromosome aneuploidy, seven cases of pathogenic copy number variation (pCNV)], with residual risks of NIPT and expanded NIPT both at 2.1% (7/329). For the 3.5 mm≤NT<4.0 mm subgroup (173 cases), 29 abnormalities were detected by CMA (17 cases of chromosome aneuploidy, nine cases of pCNV, three cases of chromosome unbalanced translocation), with residual risks of NIPT at 8.1% (14/173) and expanded NIPT at 7.5% (13/173). For the NT≥4.0 mm subgroup (270 cases), CMA detected abnormalities in 70 cases (50 cases of chromosome aneuploidy, 16 cases of pCNV, three cases of unbalanced translocations, and one case of sex chromosome abnormality combined with pCNV). The residual risk of NIPT was 12.2% (33/270), and the residual risk of expanded NIPT was 7.0% (19/270). The residual risks of NIPT and expanded NIPT in the 3.0 mm≤NT<3.5 mm subgroup were lower than those in the 3.5 mm≤NT<4.0 mm and NT≥4.0 mm subgroups (Bonferroni correction, all P<0.017). (2) In the group of 92 cases with isolated increased NT and advanced maternal age, CMA detected abnormalities in 36 cases (29 cases of chromosome aneuploidy, five cases of pCNV, one case of trisomy 21 combined with sex chromosome abnormality, and one case of trisomy 18 combined with sex chromosome abnormality). The residual risk of NIPT was 7.6% (7/92), and that of expanded NIPT was 5.4% (5/92). (3) In the group of 49 cases with increased NT combined with nasal bone abnormalities, CMA detected abnormalities in 24 cases (23 cases of chromosome aneuploidy and one case of pCNV). The residual risks of NIPT and expanded NIPT were both 2.0% (1/49). (4) In the group of 26 cases with increased NT combined with other soft markers, CMA detected abnormalities in nine cases (six cases of chromosome aneuploidy, one case of pCNV, and two cases of chromosome unbalanced translocations). The residual risks of NIPT and expanded NIPT were both 11.5% (3/26). (5) In the group of 245 cases with increased NT combined with structural abnormalities, CMA detected abnormalities in 121 cases (107 cases of chromosome aneuploidy, seven cases of pCNV, four cases of chromosome unbalanced translocations, one case of trisomy 21 combined with trisomy 20, and two cases of trisomy 18 combined with sex chromosome abnormalities). The residual risk of NIPT was 16.7% (41/245), and that of expanded NIPT was 4.1% (10/245). Conclusions:For isolated NT≥3.5 mm or NT≥3.0 mm combined with other high-risk factors, chorionic villus sampling in early pregnancy can be recommended, advancing the timing of prenatal diagnosis from the second trimester to the first trimester. For fetuses with isolated 3.0 mm≤NT<3.5 mm, the 2.1% residual risk of chromosomal abnormalities should be fully informed during counseling, even if the risk of NIPT is low.

Objective:To predict pre-treatment clinical parameters that are associated with poor response and prognosis to ursodeoxycholic acid (UDCA) in patients with primary biliary cholangitis (PBC) and to use second-line treatment drugs in the early stages to delay the progression of the disease so that patients can benefit from early-stage treatment.Methods:Patients diagnosed with PBC at the Second Affiliated Hospital of Kunming Medical University from 2013 to 2022 were collected. Two hundred fifty-seven cases were screened in accordance with the inclusion and exclusion criteria. The response and prognosis conditions one year after treatment were followed up in outpatient and inpatient departments, as well as through telephone calls. Statistical analyses were performed using t-tests, Mann-Whitney U test, χ2 test, Fisher's exact test, and logistic regression analysis according to different data. Results:A total of 257 PBC cases were included, with 223 females (86.80%) and 34 males (13.20%). Univariate and multivariate binary logistic regression analyses showed that baseline high albumin levels [odds ratio ( OR): 0.882, 95% confidence interval ( CI): 0.805～0.967, P=0.008] were a protective factor for PBC patients' response to UDCA treatment after adjusting for different confounding factors, while baseline high alkaline phosphatase ( OR: 1.012, 95% CI: 1.008～1.016, P<0.001) and baseline high neutrophil/lymphocyte ratio (NLR) level ( OR: 1.462, 95% CI:1.079～1.981, P=0.014) were risk factors for a poor response to UDCA. Trend analysis showed that the baseline NLR quantile was positively correlated with the risk of poor response to UDCA ( OR: 5.512, 95% CI: 1.040～29.216, P=0.045) in patients with PBC. Cox proportional hazards regression analysis identified that age [hazard ratio ( HR): 1.050, 95% CI: 1.019～1.082] and NLR value ( HR:1.089, 95% CI:1.021～1.161) were independent influencing risk factors for all-cause mortality in PBC patients ( P<0.05). Conclusion:Baseline high albumin levels are protective factors against a poor biochemical response to UDCA, while baseline high alkaline phosphatase levels and high NLR are risk factors for a poor biochemical response to UDCA in patients with PBC. Additionally, baseline high NLR values are positively correlated with poor biochemical response to UDCA treatment.

This article introduces Professor Zhou Peng's clinical experience in treating generalized anxiety disorder(GAD)using spirit-regulating and root-strengthening integrated acupuncture.Based on the pathological characteristics of GAD,Professor Zhou Peng summarizes its pathogenesis as"disharmony of qi,blood,yin,and yang,"pointing out that"deficiency"is the essence of its onset,with spleen and kidney deficiency being the root cause.He advocates treating GAD from the perspective of"deficiency and decline,"focusing on strengthening the spleen and kidneys,consolidating the root,and nourishing the source,while also regulating the mind.The integrated acupuncture therapy includes needling,refined moxibustion,and intradermal needle embedding.Needling is used to harmonize qi and blood,refined moxibustion to regulate and supplement yin and yang to consolidate the root,and intradermal needle embedding to regulate the mind and consolidate the therapeutic effects of acupuncture.Starting from improving patients'compliance with treatment and ensuring sustained therapeutic effects,Professor Zhou emphasizes that acupuncture manipulation should be fast,gentle,and soft,with needle insertion resembling a swift crane touching the waves and needle manipulation like a deer drinking from a clear spring.He places great importance on patients'sensations and aims to holistically regulate the body's qi,blood,yin,and yang,restoring the balance of body and mind,thereby effectively treating generalized anxiety disorder.

Objective To investigate the gene expression profile in rat pancreatic ductal stem cells(PDSCs)when induced to differentiate into insulin-secreting cells(IPCs),with the goal of identifying key genes involved in this differentiation process.Methods The expanded PDSCs were categorized into a normal control(NC)group and an induced(Tre)group.PDSCs continued expansion culture in NC group,and cultured in induction medium for 28 days to facilitate the differentiation of PDSCs into IPCs in Tre group.Dithizone staining was employed to morphologically assess whether the cells exhibited a reddish-brown coloration,indicating a positive result.The immunofluorescence staining method was used to detect the expression of insulin(Ins)and PDX1 in the cells following induction.Additionally,ELISA was conducted to measure the Ins release from IPCs,thereby verifying the responsiveness of the induced cells to glucose-stimulated Ins secretion.Concurrently,cells were collected on induction days 0 and 28 for RNA sequencing(RNA-seq),and differentially expressed genes(DEGs)were analyzed and functionally annotated.The analysis revealed that regulatory factor X3(RFX3)was overexpressed in PDSCs,and the impact of RFX3 upregulation on differentiation induction was subsequently verified.Results Compared with NC group,DTZ staining was positive,PDX1 and Ins proteins were expressed,and an increased release of Ins in response to sugar stimulation was demonstrated in the Tre group.RNA-seq analysis identified 4270 DEGs,and functional enrichment analysis utilizing the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases revealed associations with Ins response,positive regulation of Ins secretion,pancreatic endocrine cell development,and overall pancreatic development.Additionally,functionally related genes such as ALDHA2,CREB5,EIF6,FOXO1,RFX3,WNT5a,OGT,GPR39,SMAD6,and TRPM2 were identified,indicating involvement in the cell cycle,TGF-β1 signaling pathway,FOXO signaling pathway,and Wnt signaling pathway in the regulation of the differentiation of pancreatic ductal stem cells(PDSCs)into insulin-producing cells(IPCs).Furthermore,the upregulation of RFX3 can inhibit the expression of TGF-β1 within 72 hours,thereby promoted the formation and release of Ins from insulin-positive cells.Conclusions Multiple genes and signaling pathways associated with pancreatic β-cell function collectively regulate the differentiation of rat PDSCs into IPCs.Notably,the upregulation of RFX3 enhances this differentiation process.

Objective To explore the motor coordination characteristics of the attack leg of the athletes under scoring actions in the front roundhouse kick of competitive taekwondo,and provide a theoretical basis for coaches to formulate precise training strategies in stages and segments so as to enhance the efficiency and success rate of the athletes' movements.Methods Kinematic data and surface electromyography signals were collected from 15 elite Taekwondo athletes during different phases of the front roundhouse kick.The continuous relative phase(CRP)method was used to calculate the joint coordination and variability of continuous relative phase(VCRP),while non-negative matrix factorization and k-means clustering were used to analyze muscle synergy characteristics.Results The coupling of the neural launch phase was dominated by knee-ankle coupling in coronal axis and hip-ankle coupling in sagittal axis.The coupling of the kicking phase was dominated by hip-knee,hip-ankle in coronal axis,and knee-ankle coupling in vertical axis.The coupling of the recovery phase was dominated by hip-knee,hip-ankle coupling in coronal axis,and knee-ankle coupling in sagittal axis.These coupling relationships remained relatively stable around 0 rad.Approximately 80.0％VCRP remained stable across all phases,with minor fluctuations occurring at phase transitions.A total of 4,5,and 4 muscle synergy clusters were identified in neural launch,kicking,recovery phases,respectively.There were significant differences in the mean gap values among phases(P＜0.001).However,there were no significant differences in the mean sparsity values among phases(P＞0.05).Some muscle synergies were shared across phases,while others differentiated to form phase-specific coordination patterns.Conclusions Joint coordination in each phase exhibited 1-3 primary stable patterns with flexibility during transitions.Muscle coordination was dynamically adjusted throughout the motion,and a general muscle synergy pattern functioned consistently across different phases,whereas a differentiated muscle synergy pattern fulfilled the phase-specific functional demands.The neural launch and kicking phases should be focused on during training,with the emphasis on controling over critical points to optimize performance.

Objective To investigate the protective effect and mechanism of paeoniflorigenone(PFG),a natural active com-ponent in Xiongshao Capsule,against oxidized low-density lipoprotein(ox-LDL)induced vascular endothelial cell injury.Methods Network pharmacology and molecular docking were employed to identify hub targets and key active components of Xiongshao Capsulefor treating atherosclerosis.Human umbilicalvein endothelial cells(HUVECs)were divided into control,ox-LDL(100 μg/mL),PFG low-dose(20 μmol/L),and PFG high-dose(80 μmol/L)groups.Thecytotoxicity of PFG(10-160 μmol/L)and ox-LDL(5-200 μg/mL)was evaluated using the cell counting kit-8(CCK-8)assay.The effects of PFG(10,20,40,80 μmol/L)on ox-LDL-induced HUVEC viability after 24 hours of intervention were detected.Apoptosis was measured by flow cytome-try.The release of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and interleukin-1β(IL-1β)were quantified by enzyme-linked immunosorbent assay(ELISA).The mRNA expression levels of hub genes(EGFR,PIK3CA,SRC)were assessed by re-verse transcription quantitative PCR(qRT-PCR).Results Network pharmacology and molecular docking analysis demonstrated that PFG was a key active component of Xiongshao Capsule for treating atherosclerosis,stably binding to hub targets(EGFR,PIK3CA,and SRC)with binding affinities＜-7.0 kcal/mol.In vitro experiments revealed that compared to the control group,PFG-treated HUVECs showed no significant change in viability,while the ox-LDL group exhibited significantly reduced cell vi-ability,increased apoptosis levels,elevated concentrations of pro-inflammatory cytokines(TNF-α,IL-6,IL-1β),and upregulated mRNA expression of hub targets(EGFR,PIK3CA,SRC)(all P＜0.05).Compared to the ox-LDL group,PFG intervention sig-nificantly increased cell viability and decreased apoptosis levels,pro-inflammatory cytokine concentrations,and mRNA expres-sion of hub targets(all P＜0.05)in a dose-dependent manner.Conclusion This study demonstrates that PFG,the pivotal active ingredient of Xiongshao Capsule,may attenuate ox-LDL-induced vascular endothelial cell injury through the EGFR/PIK3CA/SRC regulatory axis.

AIM:A strain was isolated and identified as the H3N8 subtype of the avian influenza virus from a sick chicken at a farm in Yangjiang,Guangdong Province,named A/chicken/Yangjiang/552/2023(abbreviated as YJ/552).The aim of this research is to determine its genetic evolution,biological properties and pathogenicity in hamsters.This study may provide a theoretical strategy for preventing and treating the H3N8 subtype avian influenza virus-induced epidemic.METHODS:A strain of H3N8 avian influenza virus from chickens was characterised by phylogenetic analy-sis,antigenic diversity,receptor-binding specificity,neuraminidase activity,replication,and transmission in hamsters and a systematic pathological analysis was conducted.RESULTS:This novel avian influenza virus was generated through complex recombination of Eurasian avian H3 genes,North American avian N8 genes and six internal genes of H9N2 sub-type AIV.The cleavage site of the outer protein,HA,was PEKQTR↓GLF,which is characteristic of the low pathogenic avian influenza virus.The HA gene of YJ/552 exhibited the highest nucleotide homology with A/China/ZMD-22-2/2022(H3N8)at 99.09%,while the NA gene showed the highest homology with A/chicken/Dongguan/879/2022(H3N8)at 99.01%.This strain preferentially binds to avian-type receptors and could bind to human-type receptors.This virus could effectively replicate in the trachea and lungs of inoculated and contact hamsters.CONCLUSION:YJ/552 is a recombi-nant H3N8 avian influenza virus replicated in the upper respiratory system and transmitted in hamsters.This study pro-vides data support for the early warning and prevention of H3 subtype avian influenza viruses.