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.

BACKGROUND: Arsenic trioxide (ATO) is indicated as a broad-spectrum medicine for a variety of diseases, including cancer and cardiac disease. While the role of ATO in hepatic ischemia/reperfusion injury (HIRI) has not been reported. Thus, the purpose of this study was to identify the effects of ATO on HIRI. METHODS: In the present study, we established a 70% hepatic warm I/R injury and partial hepatectomy (30% resection) animal models in vivo and hepatocytes anoxia/reoxygenation (A/R) models in vitro with ATO pretreatment and further assessed liver function by histopathologic changes, enzyme-linked immunosorbent assay, cell counting kit-8, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay. Small interfering RNA (siRNA) for extracellular signal-regulated kinase (ERK) 1/2 was transfected to evaluate the role of ERK1/2 pathway during HIRI, followed by ATO pretreatment. The dynamic process of autophagic flux and numbers of autophagosomes were detected by green fluorescent protein-monomeric red fluorescent protein-LC3 (GFP-mRFP-LC3) staining and transmission electron microscopy. RESULTS: A low dose of ATO (0.75 μmol/L in vitro and 1 mg/kg in vivo ) significantly reduced tissue necrosis, inflammatory infiltration, and hepatocyte apoptosis during the process of hepatic I/R. Meanwhile, ATO obviously promoted the ability of cell proliferation and liver regeneration. Mechanistically, in vitro  studies have shown that nontoxic concentrations of ATO can activate both ERK and phosphoinositide 3-kinase-serine/threonine kinase (PI3K-AKT) pathways and further induce autophagy. The hepatoprotective mechanism of ATO, at least in part, relies on the effects of ATO on the activation of autophagy, which is ERK-dependent. CONCLUSION Low, non-toxic doses of ATO can activate ERK/PI3K-AKT pathways and induce ERK-dependent autophagy in hepatocytes, protecting liver against I/R injury and accelerating hepatocyte regeneration after partial hepatectomy.
Animals ; Arsenic Trioxide ; Autophagy/physiology* ; Reperfusion Injury/prevention & control* ; Mice ; Male ; Proto-Oncogene Proteins c-akt/physiology* ; Arsenicals/therapeutic use* ; Oxides/therapeutic use* ; Liver/metabolism* ; Extracellular Signal-Regulated MAP Kinases/metabolism* ; Mice, Inbred C57BL

Autism Spectrum Disorder (ASD) is marked by early-onset neurodevelopmental anomalies, yet the temporal dynamics of genetic contributions to these processes remain insufficiently understood. This study aimed to elucidate the role of the Shank3 gene, known to be associated with monogenic causes of autism, in early developmental processes to inform the timing and mechanisms for potential interventions for ASD. Utilizing the Shank3B knockout (KO) mouse model, we examined Shank3 expression and its impact on neuronal maturation through Golgi staining for dendritic morphology and electrophysiological recordings to measure synaptic function in the anterior cingulate cortex (ACC) across different postnatal stages. Our longitudinal analysis revealed that, while Shank3B KO mice displayed normal neuronal morphology at one week postnatal, significant impairments in dendritic growth and synaptic activity emerged by two to three weeks. These findings highlight the critical developmental window during which Shank3 is essential for neuronal and synaptic maturation in the ACC.
Animals ; Nerve Tissue Proteins/metabolism* ; Mice, Knockout ; Dendrites/metabolism* ; Mice ; Synapses/metabolism* ; Gyrus Cinguli/metabolism* ; Male ; Mice, Inbred C57BL ; Autism Spectrum Disorder/genetics* ; Microfilament Proteins

Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.

Xiaoji Yinzi is one of the classic prescriptions for treating urinary diseases， originated from the Yan's Prescriptions to Aid the Living （Yan Shi Ji Sheng Fang） written by YAN Yonghe in the Song dynasty. Xiaoji Yinzi is composed of Rehmanniae Radix， Cirsii Herba， Talcum， Akebiae Caulis， Typhae Pollen， Nelumbinis Rhizomatis Nodus， Lophatheri Herba， Angelicae Sinensis Radix， Gardeniae Fructus， and Glycyrrhizae Radix et Rhizoma and has the effects of cooling blood and stopping bleeding， draining water and relieving stranguria. The medical experts of later generations have inherited the original prescription recorded in the Yan's Prescriptions to Aid the Living， while dispute has emerged during the inheritance of this prescription. In this study， the method of bibliometrics was employed to review and analyze the ancient documents and modern clinical studies involving Xiaoji Yinzi. The results showed that Xiaoji Yinzi has two dosage forms： powder and decoction. According to the measurement system in the Song Dynasty， the modern doses of hers in Xiaoji Yinzi were transformed. In the prepration of Xiaoji Yinzi powder， 149.2 g of Rehmanniae Radix and 20.65 g each of Cirsii Herba， Talcum， Akebiae Caulis， stir-fried Typhae Pollen， Nelumbinis Rhizomatis Nodus， Lophatheri Herba， wine-processed Angelicae Sinensis Radix， stir-fried Gardeniae Fructus， and stir-fried Glycyrrhizae Radix et Rhizoma are grounded into fine powder with the particle size of 4-10 meshes and a decocted with 450 mL water to reach a volume of 240 mL. After removal of the residue， the decoction was taken warm before meals， 3 times a day （i.e.， 7.77 g Rehmanniae Radix and 0.97 g each of the other herbs each time）. In the preparation of Xiaoji Yinzi decoction， 20.65 g each of the above 10 herbs are used， with stir-fried Typhae Pollen， wine-processed Angelica Sinensis Radix， stir-fired Gardeniae Fructus， stir-fired Glycyrrhizae Radix et Rhizoma， and raw materials of other herbs. Xiaoji Yinzi is specialized in treating hematuresis and blood stranguria due to heat accumulation in lower energizer， which causes injury of the blood collaterals of gallbladder and dysfunction of Qi transformation. In modern clinical practice， Xiaoji Yinzi is specifically used for treating urinary diseases and can be expanded to treat diseases of the cardiovascular system and other systems according to pathogenesis. The comprehensive research on the key information could provide a scientific reference for the future development of Xiaoji Yinzi.

Objective To analyze the methodology and reporting quality of acupuncture related randomized controlled trials(RCTs)in order to provide a basis for improving the design and reporting of acupuncture studies.Methods Literatures on RCTs included in acupuncture were obtained from two systematic reviews of acupuncture studies.Two reviewers were selected independently according to the exclusion criteria,and RoB2.0,CONSORT statement and STRICTA criteria were used to evaluate the methodology and report quality.Results 95 literatures on acupuncture RCTs were included,including 51 in Chinese and 44 in English,involving 38 diseases and 54 outcome indicators.CONSORT declared that there were 8 items with high reporting rate,15 items with low reporting rate and 2 items with medium reporting rate in the evaluation.The STRICTA criteria included 8 items with high reporting rate,4 items with low reporting rate,and 4 items with medium reporting rate.As for RoB2.0 bias risk assessment,11.6%of the literature in the overall bias area that served as a summary was high risk,50.5%was likely risk,and 37.9%was low risk.Conclusion The current published RCTs research methodology and report quality evaluation are not high,the future research should improve the scientific and rigorous program design,to form a transparent and complete research report.

This article summarized the current status and challenges of manipulation therapy for musculoskeletal pain and its placebo effect in clinical trials, analyzing the impact of the placebo effect on the evaluation of therapeutic efficacy. The efficacy of different manual manipulation techniques remains uncertain, and the degree of blinding and patient expectations play a crucial role in efficacy assessment. The article suggested improving trial design through standardized placebo intervention design, comprehensive investigation of patient expectations and psychological states, rigorous training of practitioners, and optimized diagnostic and treatment scenarios and doctor-patient relationship, to ensure consistency between intervention and placebo groups. Specific measures include the application of the DITTO (Deconstruct, Identify, Take out, Think, Optimize) framework, the use of standardized questionnaire tools, and multi-center, large-sample randomized controlled trials to enhance the external validity and statistical power of research results, thereby providing more scientifically reliable evidence for clinical practice.

Objective To investigate the characteristic distribution of traditional Chinese medicine(TCM)syndrome types in gouty arthritis patients complicated with bone erosion,and to analyze the associated factors.Methods A total of 318 gouty arthritis patients hospitalized in the Rheumatology and Immunology Department of Foshan Hospital of Traditional Chinese Medicine between November 2021 and November 2023 were included.The patients were allocated to a bone erosion group(142 cases)and a non-bone erosion group(176 cases)according to the findings of musculoskeletal ultrasound.The clinical data of gender,age,body height,body mass,body mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),course of gout,findings of musculoskeletal ultrasound,complete blood count[white blood cell count(WBC),platelet count(PLT),hemoglobin(Hb),and red blood cell count(RBC)],blood uric acid(UA),creatinine(Cr),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),total cholesterol(TC),and low-density lipoprotein cholesterol(LDL-C)of the patients during hospitalization were collected.Differences in general information,laboratory parameters,and distribution of TCM syndrome types were compared between the two groups,and then the potential influencing factors of bone erosion in gouty arthritis patients were explored.Results(1)Analysis of general information showed that the bone erosion group had longer course of gout and slightly lower BMI than that the non-bone erosion group,and the differences were statistically significant(P＜0.05 or P＜0.01).However,there were no statistically significant differences in age,body height,body mass,SBP and DBP among the patients of the two groups(P>0.05).(2)Analysis of laboratory indicators showed that the levels of Cr,UA,ESR and TC in the bone erosion group were significantly higher than those in the non-bone erosion group,and the differences were statistically significant(P＜0.05 or P＜0.01).However,no statistically significant differences in the levels of CRP,WBC,RBC,PLT and LDL-C were presented between the two groups(P＞0.05).(3)Analysis of the distribution of TCM syndromes showed that in the bone erosion group,stagnant-heat obstruction syndrome accounted for the largest proportion(33.10%),followed by phlegm-turbidity obstruction syndrome(29.58%),damp-heat accumulation syndrome(22.54%),and liver-kidney yin deficiency syndrome(14.79%);in the non-bone erosion group,damp-heat accumulation syndrome accounted for the largest proportion(38.07%),followed by liver-kidney yin deficiency syndrome(32.95%),phlegm-turbidity obstruction(14.77%),and stagnant-heat obstruction(14.20%).There was statistically significant difference in the distribution of TCM syndromes between the two groups(P＜0.01).(4)The results of logistic regression analysis suggested that the higher the levels of ESR,UA,and TC,the longer the course of gout.And the TCM syndromes of stagnant-heat obstruction and phlegm-heat obstruction were the risk factors for bone erosion in gouty arthritis(P＜0.05 or P＜0.01).Conclusion Gouty arthritis patients with bone erosion exhibit higher UA,ESR,Cr,and TC levels,longer course of disease,and higher incidence of stagnant-heat obstruction syndrome and phlegm-turbidity obstruction syndrome.Bone erosion in gouty arthritis is closely associated with elevated UA,ESR,TC,and some specific TCM syndrome patterns.

Objective To explore the efficacy of carotid color Doppler ultrasonography(CDU)combined with transcranial color Doppler ultra sonography(TCCD)in the diagnosis of carotid artery stenosis in elderly patients with acute cerebral infarction(ACI).Methods The clinical data of 306 elderly patients with suspected ACI who were admitted to the Second Affiliated Hospital of Air Force Medical University,and received CDU and TCCD from May 2021 to May 2023 were retrospectively analyzed.The result of digital subtraction angiography(DSA)was taken as the gold standard.The patients were assigned to cerebral infarction group or non-cerebral infarction group according to the gold standard.CDU parameters(peak systolic velocity[PSV]and end diastolic velocity[EDV]of the common carotid artery])and TCCD parameters(resistance index[RI]and pulsatility index[PI]of posterior cerebral artery[PCA])were compared between the two groups.According to the degree of carotid artery stenosis,ACI patients were assigned to mild stenosis subgroup,moderate stenosis subgroup or severe stenosis subgroup.CDU parameters(PSV,EDV)and TCCD parameters(RI,PI)were compared among subgroups.The efficacy of related parameters in the diagnosis of ACI and the degree of carotid artery stenosis was evaluated by receiver operating characteristic(ROC)curve.Results There were 155 patients(50.65%)in the cerebral infarction group and 151 patients(49.35%)in the non-cerebral infarction group.The cerebral infarction group had higher EDV,PSV and RI and lower PI than the non-cerebral infarction group(P＜0.05).The areas under curve(AUC)values of ROC curves of EDV,PSV,RI,PI and their combination in the diagnosis of ACI were 0.577,0.563,0.644,0.643 and 0.726(P＜0.05).The levels of EDV,PSV and RI in the subgroups were as follows:severe stenosis subgroup＞moderate stenosis subgroup＞mild stenosis subgroup,and the change trend of PI was shown as mild stenosis subgroup＞moderate stenosis subgroup＞severe stenosis subgroup(P＜0.05).The AUC values of ROC curves of EDV,PSV,RI,PI and their combination in evaluating the degree of carotid artery stenosis in ACI patients were 0.767,0.802,0.845,0.846 and 0.952(P＜0.05).Conclusion Carotid CDU combined with TCCD can effectively diagnose ACI and carotid artery stenosis,and has high application value for the evaluation of carotid artery stenosis in elderly ACI patients.