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 explore the risk factors of acute kidney injury (AKI) in patients with moderate and severe renal insufficiency after receiving voriconazole for injection and to establish a model for predicting the occurrence risk.Methods:The study was designed as a retrospective study. The subjects were selected from patients with moderate to severe renal insufficiency who were hospitalized in Jiaozuo People′s Hospital of Henan Province from January 1, 2020 to December 31, 2022 and received treatment with voriconazole for injection. Through the hospital information system, clinical data of patients were collected, including basic information, clinical diagnosis, laboratory test indexes, comorbid diseases, and co-medication. Patients were divided into AKI and non-AKI groups according to whether voriconazole-related AKI occurred. AKI risk factors were analyzed using multiple logistic regression, and prediction models were established accordingly. Calibration curves were plotted using R4.2.3 software, and the model was internally validated using the k-fold cross-validation method.Results:A total of 146 patients were enrolled in the study with an age of 72.4±13.8 years, including 84 males and 62 females; 61 patients (41.8%) of which developed voriconazole-related AKI. Compared with the non-AKI group, the white blood cell count, neutrophils percentage, proportion of patients with basic renal diseases, and proportion of patients with cardiovascular diseases were higher in the AKI group; the days of voriconazole injection treatment, proportion of patients with hematological diseases, and proportion of patients receiving glycopeptide drugs were lower in the AKI group. The results of multiple logistic regression showed that albumin [X 1, odds ratio( OR)=0.946, 95% confidence interval( CI): 0.915-0.977, P=0.001], neutrophil percentage (X 2, OR=1.013, 95 %CI: 1.000- 1.026, P=0.001), and complicated with underlying renal diseases (X 3, OR=2.230, 95 %CI: 1.110-4.483, P= 0.046) were independent influencing factors of AKI caused by voriconazole for injection in patients with moderate and severe renal insufficiency. The prediction model was established and the joint prediction factor Y=14.32X 1+0.23X 2-X 3. When the maximum value of Youden index was 0.382, the best tangent point of receiver operating characteristic curve was -11.33. The internal cross-validation results showed that the accuracy of the model was 0.70 and the Kappa coefficient (consistency) was 0.37. Conclusions:The incidence of AKI in patients with moderate and severe renal insufficiency after receiving voriconazole for injection was 41.8%. Albumin, neutrophil percentage and underlying renal diseases were the independent influencing factors. The calculation of joint predictors based on the above indicators was helpful to predict the risk of AKI and had a certain reference value for clinic.

Objective:To explore the risk factors of acute kidney injury (AKI) in patients with moderate and severe renal insufficiency after receiving voriconazole for injection and to establish a model for predicting the occurrence risk.Methods:The study was designed as a retrospective study. The subjects were selected from patients with moderate to severe renal insufficiency who were hospitalized in Jiaozuo People′s Hospital of Henan Province from January 1, 2020 to December 31, 2022 and received treatment with voriconazole for injection. Through the hospital information system, clinical data of patients were collected, including basic information, clinical diagnosis, laboratory test indexes, comorbid diseases, and co-medication. Patients were divided into AKI and non-AKI groups according to whether voriconazole-related AKI occurred. AKI risk factors were analyzed using multiple logistic regression, and prediction models were established accordingly. Calibration curves were plotted using R4.2.3 software, and the model was internally validated using the k-fold cross-validation method.Results:A total of 146 patients were enrolled in the study with an age of 72.4±13.8 years, including 84 males and 62 females; 61 patients (41.8%) of which developed voriconazole-related AKI. Compared with the non-AKI group, the white blood cell count, neutrophils percentage, proportion of patients with basic renal diseases, and proportion of patients with cardiovascular diseases were higher in the AKI group; the days of voriconazole injection treatment, proportion of patients with hematological diseases, and proportion of patients receiving glycopeptide drugs were lower in the AKI group. The results of multiple logistic regression showed that albumin [X 1, odds ratio( OR)=0.946, 95% confidence interval( CI): 0.915-0.977, P=0.001], neutrophil percentage (X 2, OR=1.013, 95 %CI: 1.000- 1.026, P=0.001), and complicated with underlying renal diseases (X 3, OR=2.230, 95 %CI: 1.110-4.483, P= 0.046) were independent influencing factors of AKI caused by voriconazole for injection in patients with moderate and severe renal insufficiency. The prediction model was established and the joint prediction factor Y=14.32X 1+0.23X 2-X 3. When the maximum value of Youden index was 0.382, the best tangent point of receiver operating characteristic curve was -11.33. The internal cross-validation results showed that the accuracy of the model was 0.70 and the Kappa coefficient (consistency) was 0.37. Conclusions:The incidence of AKI in patients with moderate and severe renal insufficiency after receiving voriconazole for injection was 41.8%. Albumin, neutrophil percentage and underlying renal diseases were the independent influencing factors. The calculation of joint predictors based on the above indicators was helpful to predict the risk of AKI and had a certain reference value for clinic.

Coronary heart disease (CHD) and stroke are the most well-known cardiovascular diseases, which share many common pathological basis. Yindan Xinnaotong soft capsule (YDXNT) is a commonly used Chinese patent medicine in the treatment of stroke and CHD. However, its action of mechanism of co-treatment for stroke and CHD is still unclear. The aim of this study was to explore the common mechanism of YDXNT in co-treatment of CHD and stroke using network pharmacology, experimental verification and molecular docking. An integrated literature mining and databases of IPA, ETCM, HERB, Swiss Target Prediction, OMIM and GeneCards were used to screen and predict active ingredients and potential targets of YDXNT in co-treatment of CHD and stroke. The protein-protein interaction network, GO analysis and pathway analysis were analyzed by IPA software. The effect of YDXNT on core targets was verified by immunofluorescence. UPLC-QTOF/MS and molecular docking were used to screen and predict the main active constituents of YDXNT and their interactions with core targets. A total of 151 potential targets are predicted for YDXNT in co-treatment of CHD and stroke. Hypoxia-inducible factor-1α (HIF1α)-matrix metalloproteinase-9 (MMP9)-mediated HIF1α signaling pathway serves as one of the common mechanisms. YDXNT could reduce the increase of mitochondrial fluorescence intensity and the protein expression of HIF1α and MMP9 in HL-1 and HA induced by oxygen and glucose deprivation/reperfusion (OGD/R) in a dose-dependent manner. Baicalin may be the material basis for treating stroke and CHD with YDXNT. In conclusion, the HIF1α signaling pathway is one of the common key mechanisms of YDXNT in the co-treatment of stroke and CHD. The study provides support and basis for the in-depth scientific connotation of the traditional Chinese medicine theory of "same treatment to different diseases".

Objective:To explore the clinical outcomes of recipients with refractory heart failure requiring an insertion of mechanical circulation support(MCS)device prior to heart transplantation(HT).Methods:From March 2017 to December 2021, retrospective review is performed for clinical data of 7 recipients with refractory heart failure requiring a bridging placement of MCS.There are 2 males and 5 females with an average age of(39.0±16.3)years(7~56 years)and an average weight of(57.6±19.9)kg(7~56 kg).The primary diseases of recipients are dilated cardiomyopathy(4 cases)severe viral myocarditis(2 cases)and ischemic cardiomyopathy(1 case).All of them develope acute decompensation of congestive heart failure.Before implanting MCS, two or more inotropic drugs are offered at maximal doses ages or IABP device, 6 cases required cardio-pulmonary resuscitation treatment and another patient for Heartcon assistance.All the patients bridge to heart transplatation.Results:Adjuvant therapy of MCS was offered for(20.0±11.5)d(7~34 d).Emergency HT is performed.Two post-HT deaths occurr due to multiple organ failure(1 case)and severe infection(1 case).The remainders recover smoothly during a follow-up period of(6~24 months).Conclusions:MCS device is recommended as a bridging too for HT recipients with refractory heart failure.It is imperative to improve clinical outcomes with MCS support before an onset of multiple organ dysfunction.Despite a perioperative mortality, long-term prognosis is generally satisfactory.

Objective:To investigate Helicobactor pylori (H. pylori) infection status and interfamilial transmission pattern in Zhengzhou area. Methods:A cross-sectional study was conducted from September 2020 to march 2021, among 731 individual from 266 families randomly selected from 9 communities of Zhengzhou area. H. pylori infection status was determined by serum antibody tests, and 13C-urea breath test was performed in the previously eradicated population to clarify the current infection status. The individual and familial infection rate, infection status for couples and children and adolescent were analyzed. Results:Among 731 individuals from 266 families, 397 of them were H. pylori positive. The individual infection rate was 54.31% (397/731); among infected individuals 77.83% (307/397) were infected with type Ⅰ strain, 22.67% (90/397) were infected by type Ⅱ strain. Annual household income ( χ2=0.419, 0.410, 0.213, all P>0.05), smoking history (χ 2=0.071, P>0.05), drinking history ( χ2=0.071, P>0.05), dining place ( χ2=0.009, P>0.05), gastrointestinal symptoms ( χ2=0.047, P>0.05), family history of gastric disease ( χ2=0.069, P>0.05), and history of gastric cancer ( χ2=0.004, P>0.05) had no significant differences between H. pylori-positive and -negative groups, but the infection rate in individuals with higher education level was lower ( χ2=4.449, P<0.05). The infection rate was significantly higher in≥18 age groups compared with<18 age groups ( χ2=6.531, 23.362, 20.671, 24.244, 37.948, 14.597 and 5.170, all P<0.05). The familial H. pylori infection rate was 87.59% (233/266), and in 61 families all member were infected (26.18%, 61/233). The positive rate was 23.08% (6/26) in 50 families with children under 18 years when both parents were infected. Among 231 coupled families, both couples were infected in 78 families (33.76%), one couple was infected in 113 families (48.92%), and both couples were not infected in 40 (17.32%). With the increase of marriage time, the infection rate of both spouses increased significantly ( χ2=7.775, 12.662, 15.487, all P<0.05). Conclusions:The distribution of H. pylori infection presents a family cluster pattern, and intrafamilial infection is an important transmission rout of H. pylori. The type I strain of H. pylori is the dominate strain in this area.

A randomized, double-blind, placebo-controlled, multi-center phase Ⅱ clinical trial design was used in this study to recruit subjects who were in line with the syndrome of excess heat and fire toxin, and were diagnosed as recurrent oral ulcers, gingivitis, and acute pharyngitis. A total of 240 cases were included and randomly divided into a placebo group and a Huanglian Jiedu Pills group. The clinical efficacy of Huanglian Jiedu Pills in treating the syndrome of excess heat and fire toxin was evaluated by using the traditional Chinese medicine(TCM) syndrome scale. Enzyme-linked immunosorbent assay(ELISA) was used to determine and evaluate the levels of adenosine triphosphate(ATP), 4-hydroxynonenal(4-HNE), and adrenocorticotropic hormone(ACTH) in plasma of the two groups before and after administration and to predict their application value as clinical biomarkers. The results showed that the disappearance rate of main symptoms in the Huanglian Jiedu Pills group was 69.17%, and that in the placebo group was 50.83%. The comparison between the Huanglian Jiedu Pills group and the placebo group showed that 4-HNE before and after administration was statistically significant(P<0.05). The content of 4-HNE in the Huanglian Jiedu Pills group decreased significantly after administration(P<0.05), but that in the placebo group had no statistical significance and showed an upward trend. After administration, the content of ATP in both Huanglian Jiedu Pills group and placebo group decreased significantly(P<0.05), indicating that the energy metabolism disorder was significantly improved after administration of Huanglian Jiedu Pills and the body's self-healing ability also alleviated the increase in ATP level caused by the syndrome of excess heat and fire toxin to a certain extent. ACTH in both Huanglian Jiedu Pills group and placebo group decreased significantly after administration(P<0.05). It is concluded that Huanglian Jiedu Pills has a significant clinical effect, and can significantly improve the abnormal levels of ATP and 4-HNE in plasma caused by the syndrome of excess heat and fire toxin, which are speculated to be the effective clinical biomarkers for Huanglian Jiedu Pills to treat the syndrome of excess heat and fire toxin.
Humans ; Adrenocorticotropic Hormone ; Hot Temperature ; Medicine, Chinese Traditional ; Adenosine Triphosphate

We reported a 54-year-old female patient with severe tricuspid regurgitation, who received mechanic valve in the mitral position 15 years ago. The patient’s Society of Thoracic Surgeons score was 8.27%, and was intolerant to open heart surgery, so she was recommended for transcatheter tricuspid valve replacement via right vena jugularis interna. The procedures were guided by echocardiography and X ray fluoroscopy on November 13, 2021, the prosthesis was implanted successfully, and the patient was recoved without any adverse events. After 1 month follow-up, her general condition was apparently improved.

Objective:To analyze the sequence characteristics，chromosomal location，gene structure，conserved motifs，phylogenetic evolution and differential gene expressions of the Cannabis sativa YABBY transcription factor family，in order to provide a molecular basis for in-depth study of YABBY gene function and theoretical support for the selection and breeding of superior hemp varieties. Method:The bio-informatics method was used to identify and analyze the CsYABBY gene family of the original hemp seed plant. PlantTFDB，ExPASy，MEME，CELLO，PLANTCARE and other online websites and TBtools，MEGA，DNAMAN and other software were used for prediction，visualization and analysis. Result:C. sativa contains 6 YABBY gene members distributed on 5 chromosomes，in which 5 members are localized in the nucleus and 1 in extracellular， they consist of 185-235 amino acids， and the isoelectric point is between 5.05 and 9.34， the molecular weight is between 20 582.45-26 282.7 Da. All of CsYABBY proteins contain two conserved domains， namely Zinc finger domain and YABBY domain. CsYABBY genes have multiple cis-acting elements，and their expressions differ in different tissues and cultivars. Conclusion:The expressions of CsYABBY may be affected by hormones and externally environmental factors. CsYABBY gene expressions are tissue-specific. In addition，YABBY transcription factor family may play an important role in regulating the development of C. sativa female flowers，and subfamilies YAB1 and YAB5 may be involved in the synthesis of cannabinoids.