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.

Objective To analyze the expression of serum mannose binding lectin associated serine protease 1(MASP1)and protein kinase D2(PRKD2)in locally advanced cervical cancer(LACC)patients,and their relationship with the efficacy of neoadjuvant chemotherapy(NACT).Methods The clinical data of 98 LACC patients(LACC group)treated with NACT in the hospital from March 2019 to April 2021 were retrospective-ly selected,and they were divided into effective group(n=76)and ineffective group(n=22)according to the efficacy.Fifty patients with early cervical cancer diagnosed and treated in the same period were selected as the early cervical cancer group,and 50 female health examination subjects were selected as the healthy control group.Enzyme-linked immunosorbent assay was applied to detect serum levels of MASP1 and PRKD2.Logis-tic regression analysis was applied to analyze the influencing factors of NACT efficacy.The evaluation value of serum MASP1 and PRKD2 on the efficacy of NACT were analyzed by the receiver operating characteristic curve.Results The serum levels of MASP1 and PRKD2 in the LACC group were higher than those in the ear-ly cervical cancer group and the control group,and the differences were statistically significant(P＜0.05).The serum levels of MASP1 and PRKD2 in LACC group were correlated with International Federation of Gy-necology and Obstetrics(FIGO)stage and pathological grade,and the serum levels of MASP1 and PRKD2 in patients with FIGO stage Ⅲ and pathological grade G3 were higher(P＜0.05).FIGO stage Ⅲ proportion,se-rum MASP1 and serum PRKD2 levels in NACT ineffective group were higher than those in effective group(P＜0.05).FIGO stage Ⅲ,serum MASP1 and serum PRKD2 were independent risk factors for NACT efficacy in LACC patients(P＜0.05).The area under the curve of serum MASP1 and PRKD2 combined to evaluate the efficacy of NACT was 0.883(95％CI:0.828-0.935),which was larger than 0.802(95％CI:0.761-0.846)and 0.825(95％CI:0.764-0.852)predicted by the single index,and the difference were statistically significant(Z=4.111,5.012,both P＜0.001).Conclusion Level of serum MASP1 and PRKD2 in LACC pa-tients are increase,which are independent risk factors affecting the efficacy of NACT.Combined detection of MASP1 and PRKD2 has high predictive value for NACT efficacy.

At present,precise radiotherapy has been widely used through the development with many years,but the existing technique still is limited by the limitation of tolerance dose of normal tissues,which cannot achieve the optimal goal of treating tumor.Flash radiotherapy(Flash-RT)is one kind of radiotherapy technique that uses the beam with ultra-high dose rate(UHDR)to conduct irradiation,which can furthest treat tumors while significantly reduce radiation injury of normal tissues.But until now,the biological mechanism,key physical parameters and triggering mechanism of Flash-RT are still unclear,and its principle and clinical translational application are still in the stage of research.This review clarified the technological advance and clinical translational application of Flash-RT research through summarized the relevant research of Flash-RT.

The Flash radiotherapy(Flash-RT),which is the key breakthrough in the basic field of radiotherapy technique,which is expected to cause a new major transformation in the field of radiotherapy.In this paper,we reviewed the latest research advances of the application and the mechanism exploration of Flash-RT in tumor treatment.Current studies have found that both the Flash-RT with electron beams and photon and the Flash-RT with proton can reduce injury of normal tissue than radiotherapy with conventional dose-rate,but the relevant mechanisms are not yet clearly understood,which includes but not limited to oxygen depletion,DNA damage,cellular senescence,apoptosis and immune response.The difference of Flash-RT injury between tumor tissue and normal tissue further reduces the limitations of radiotherapy,and reduces the adverse reaction and complication compared with conventional radiotherapy,which has wide application prospects.

Radiotherapy is an important means to treat lung cancer,but it is easy to cause lung injury and reduce the quality of life of patients.Flash radiotherapy(FLASH-RT)has attracted attention due to its extremely short radiation duration and high dose rate,which can reduce toxicity of normal tissue while ensures treatment intensity of tumor.Whether Flash-RT can reduce radiation-induced lung injury has become an important research topic in recent years.Based on the literature analysis method,this review systematically assessed the effects and mechanisms of Flash-RT and radiotherapy with conventional dose rate on lung injury through searching relevant literatures at home and abroad,so as to provide scientific basis for the treatment of patients with lung cancer by reviewing the comparisons about the effects and mechanisms between Flash-RT and radiotherapy with conventional dose rate on lung injury.Compared with radiotherapy with conventional radiation rate,Flash-RT can significantly reduce lung injury and improve quality of life of patients.It is still demanded to explore the Flash-RT mechanism in future,so as to develop the Flash-RT instrument that is suitable for different tumors and to conduct larger-scale clinical researches.

Objective To explore the mediating effect of triglyceride-glucose(TyG)index on the risk of proteinuria in patients with type 2 diabetes mellitus(T2DM).Methods 734 patients with T2DM who underwent routine physical examination in Quyang Road Community Health Service Center,Shanghai from March 2023 to May 2023 were enrolled.The results of basic information,biochemical indicators,abdominal ultrasound and other results were collected.All patients were divided into the normal group,microproteinuria group,and massiveproteinuria group,and stratification analyses were underwent according to glycated hemoglobin(HbA1c),body mass index(BMI),TyG index,and presence or absence of non-alcoholic fatty liver disease(NAFLD).Factors affecting proteinuria in T2DM patients were analyzed.Multivariate logistic regression was used to analyze the impact of TyG index and NAFLD on proteinuria in type 2 diabetes population.Regression coefficient sequential test was used to analyze whether TyG mediates NAFLD associated proteinuria.Results There were statistically significant differences in age,BMI,urinary creatinine,HbA1c,TyG index,etc.among the normal group,microproteinuria group,and massiveproteinuria group(all P＜0.05);there was no statistically significant difference in gender among the three groups.Multivariate logistic regression analysis showed that taking the HbA1c＜7％and BMI＜24 kg/m2 group as a reference,the patients with HbA1c≥7％and BMI≥24 kg/m2 had the highest risk of proteinuria(P=0.022),followed by the HbA1c≥7％and BMI＜24 kg/m2 group(P=0.039).Taking the TyG index(7.65-8.69)as a reference,the risk of proteinuria in the(9.45-11.90)group was 3.321 times(P＜0.001).The mediation effect analysis showed that the TyG mediated NAFLD associated proteinuria(P＜0.001),with the mediation effect accounting for 55.70％of the total effect.Conclusion TyG index may be an independent risk factor for proteinuria in patients with T2DM,and the prevalence of proteinuria is high in patients with poor control in HbA1c and excessive BMI,and TyG may partially mediate the risk of proteinuria in patients with T2DM.

Objective:To detect pathogenic mutation in a Chinese family affected with isolated bilateral microtia.Methods:During 2022 June to December, one Chinese Han family with non-syndromic bilateral microtia was recruited at the First Hospital of Shanxi Medical University. The clinical data and peripheral blood samples were collected from the family members. Whole genome sequencing (WGS) was performed in the proband to screen all candidate variants. Quantitative PCR was applied to identify the candidate copy number variation (CNV) among the proband, the unaffected wife and the affected son to demonstrate the association between candidate variant and phenotype.Results:The patients in the family had non-syndromic bilateral concha-type microtia. WGS detected the duplication in the intergenic region of HMX1 and CPZ gene in the proband, which involved the evolutionarily conserved region (ECR). Both the proband and his affected son carried the CNV, while his unaffected wife did not have this variation.Conclusion:Duplications involving the long range HMX1 enhancer ECR are associated with the bilateral concha-type microtia in this family.

Objective:To detect pathogenic mutation in a Chinese family affected with isolated bilateral microtia.Methods:During 2022 June to December, one Chinese Han family with non-syndromic bilateral microtia was recruited at the First Hospital of Shanxi Medical University. The clinical data and peripheral blood samples were collected from the family members. Whole genome sequencing (WGS) was performed in the proband to screen all candidate variants. Quantitative PCR was applied to identify the candidate copy number variation (CNV) among the proband, the unaffected wife and the affected son to demonstrate the association between candidate variant and phenotype.Results:The patients in the family had non-syndromic bilateral concha-type microtia. WGS detected the duplication in the intergenic region of HMX1 and CPZ gene in the proband, which involved the evolutionarily conserved region (ECR). Both the proband and his affected son carried the CNV, while his unaffected wife did not have this variation.Conclusion:Duplications involving the long range HMX1 enhancer ECR are associated with the bilateral concha-type microtia in this family.

Objective:To investigate the regulatory role of mesenchymal stem cells(MSCs)on radiation-induced lung injury in mice by the ferroptosis pathway.Methods:The mice were divided into normal control group,MSCs-treated group(MSCs group),single irradiation group(IR group)and IR combined with MSCs group(IR+MSCs group)according to random number table method before irradiation.A mouse model of radiation-induced lung injury was constructed using whole thorax irradiation with cobalt 60(60Co)(20Gy each time),and TNF-α and IL-6 levels of mouse were detected by enzyme-linked immunosorbent assay(ELISA).The injury of lung tissue in mice was assessed using hematoxylin eosin(HE)staining and Masson staining.Western Blot was used to examine the expression levels of ferroptosis-related proteins in lung tissue,including nuclear factor erythroid NF-E2 related factor 2(Nrf2),4-Hydroxynonenal(4-HNE)and glutathione peroxidase 4(GPX4).The expression level of prostaglandin-endoperoxide synthase 2 Gene(PTGS2)in the lung tissue of mice was detected by using quantitative polymerase chain reaction(qPCR),and the level of reactive oxygen species(ROS)in the lung tissue of mice was detected after radiation by using dihydroethidium(DHE),and the level of malondialdehyde(MDA)content in the lung tissue was detected after radiation.And then,the level of oxidative damage in the lung tissue of mice was assessed.Results:Elisa results showed the serum TNF-α and IL-6 levels in mice after irradiation in IR group were significantly higher than those in normal control group(F=53.60,10.65,P＜0.05),respectively.The HE and MSCs staining of pathological analysis showed that MSCs treatment could significantly relieve both early radiation-induced pneumonitis and advanced pulmonary fibrosis.After radiation,the 4-HNE expression level was upregulation and the Nrf2 expression level was downregulation in the lung tissues of mice,whereas MSCs were able to significantly reduce the 4-HNE expression and upregulate the Nrf2 expression.The mRNA expression level and MDA content of the ferroptosis gene PTGS2 were significantly increased,which were significantly higher than those of normal control group,while MSCs were able to significantly reduce its expression,and the differences were statistically significant(F=105.8,7.693,P＜0.05).Conclusion:MSCs is able to relieve significantly ionizing radiation-induced ferroptosis of lung epithelial cells,thereby relieve radiation-induced lung injury.