Objective To investigate the causal relationship between metabolic syndrome and breast cancer by using a bidirectional two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary statistics for metabolic syndrome and breast cancer were acquired from the Integrative Epidemiology Unit GWAS database and the GWAS Catalog, with populations encompassing the United States and East Asia. A bidirectional causal design was employed: a forward analysis with metabolic syndrome as the exposure and breast cancer as the outcome, followed by a reverse analysis wherein their roles were interchanged. The inverse-variance weighting (IVW) method was primarily used for effect estimation, supplemented by MR-Egger regression, the weighted median method, the simple mode method, and the weighted mode method. Instrument variable strength was screened using the F-statistic (F>10). Robustness of the results was assessed through heterogeneity tests, horizontal pleiotropy tests, forest plots, and leave-one-out sensitivity analyses. Results The IVW analysis indicated no significant causal relationship between metabolic syndrome and breast cancer (OR=1.00, 95%CI: 0.97-1.03), P>0.05). Sensitivity analyses yielded consistent results, suggesting the good robustness of the study findings. Conclusion This study found no evidence to support a causal relationship, either positive or negative, between metabolic syndrome and breast cancer.

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.

OBJECTIVES: To verify whether hesperetin (Hes) alleviates doxorubicin (DOX)-induced cardiotoxicity by reducing inflammation via regulating the AMPK/NLRP3 pathway. METHODS: C57/bl6 mice and H9c2 cells treated with DOX to mimic cardiotoxicity were randomly divided into Sham (or control) group, DOX group, DOX+Hes group, DOX+Hes+compound C (CC, an AMPK inhibitor) group. Cardiac function and myocardial pathologies of the mice were evaluated, and the changes in H9c2 cell morphology and viability were assessed. Lactate dehydrogenase (LDH) activity in mouse myocardial tissues and H9c2 cells was measured using ELISA, and H9c2 cell apoptosis was detected with TUNEL staining. In both H9c2 cells and the myocardial tissues of the mice, cellular expression levels of TNF-α, IL-6 and IL-1β mRNAs and cleaved caspase-3, Bcl2, Bax, IL-1β, IL-18, p-AMPK, AMPK, p-mTOR, mTOR, NLRP3, ASC and caspase-1 proteins were detected using RT-PCR and Western blotting. RESULTS: DOX treatment caused cell swelling, decreased cell viability and increased LDH activity in H9c2 cells, resulting also in significantly increased cell apoptosis and cleaved caspase-3 expression and decreased Bcl2/Bax ratio. The DOX-treated mice showed obvious myocardial fiber swelling and inflammatory infiltration, decreased cardiac function and significantly increased myocardial LDH activity. In H9c2 cells, DOX treatment significantly increased the mRNA expressions of TNF-α, IL-6 and IL-1β and protein expressions of IL-1β and IL-18, lowered the expressions of p-AMPK and p-mTOR, and increased the expressions of NLRP3, ASC and caspase-1. Hes treatment obviously reduced these toxic effects of DOX in H9c2 cells, but its protective effects were blocked by application of compound C. CONCLUSIONS Hes reduces DOX-induced cardiotoxicity by inhibiting inflammation via regulating the AMPK/NLRP3 pathway.
Animals ; Doxorubicin/toxicity* ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Mice, Inbred C57BL ; Mice ; Signal Transduction/drug effects* ; Cardiotoxicity ; AMP-Activated Protein Kinases/metabolism* ; Apoptosis/drug effects* ; Cell Line ; Myocytes, Cardiac/drug effects* ; Rats

In recent years, the bacteriophage Φ29 (Phi29) DNA polymerase has garnered increasing attention due to its high-fidelity amplification capacity at constant temperatures. To advance the industrial application of this type of isothermal polymerases, this study mined and characterized new enzymes from the microbial metagenome based on the known Phi29 DNA polymerase sequence. The results revealed that a new enzyme, Php29 DNA polymerase, was identified in the microbial metagenome with plants as the hosts. This enzyme exhibited higher strand displacement activity, with a 59.5% similarity to bacteriophage Φ29. Experimental validation demonstrated that the enzyme had 3'→5' exonuclease activity, and its amplification products can serve as substrates for further catalytic reactions. The discovery and validation of Php29 DNA polymerase gives insights into the future industrial application of isothermal polymerases.
DNA-Directed DNA Polymerase/metabolism* ; Bacillus Phages/genetics* ; Metagenome

Abstract Among women of reproductive age, pelvic inflammatory disease is a prevalent gynecological condition. In its early stages, it may be mild or asymptomatic. If treatment is delayed, there is a high likelihood of recurrence, which can have a major impact on women′s reproductive health and raise the financial, emotional, and physical load on the family. Significant advancements in the treatment of chronic pelvic inflammatory disease have been made possible by the thorough investigation of this condition. In an effort to advance the health management of this illness and offer fresh concepts for clinical treatment, this review discusses a number of facets of both Chinese and Western medicine.

Objective: To evaluate the clinical effectiveness of transcutaneous electrical acupoint stimulation (TEAS) in the treatment of sequelae of inflammatory pelvic diseases in women. Methods: A total of 100 patients diagnosed with sequelae of inflammatory pelvic diseases were selected . They were randomly divided into three groups : transcutaneous electrical acupoint stimulation (TEAS) treatment group (40 cases) , drug treatment group (30 cases) and combined treatment group (30 cases) . The three groups received treatment for four weeks : the medication group received Kangfu xiaoyan shuan ; the combination treatment group received TEAS combined with Kangfu xiaoyan shuan ; and the TEAS treatment group received the highest level of electrical stimulation that the human body could withstand via medium_low frequency pulsed electrotherapy instrument on the Guanyuan acupoints or the uterine acupoints . Prior to and following treatment , the three patient groups ’local sign score , symptom and sign score (McCormack score) , visual analogue scale ( VAS) score for lower abdomen pain , and SF_36 scale score were observed . Additionally , the three groups ’incidence of adverse events was noted . Results: Following the intervention , all three groups ’local sign score , McCormack score , and VAS score for lower abdomen pain were considerably lower than they were before the intervention (P < 0. 05) . These three scores showed significant differences (P < 0. 05) between the combination treatment group and the TEAS treatment and drug treatment groups . The combined treatment group ’s scores were lower. The three groups ’total somatic health score and total mental health score before and after the intervention differed significantly (P < 0. 05) after the period of therapy. Additionally , the combined treatment group ’s total somatic health score and total mental health score were higher than those of the medication group . In all three groups , there were no notable negative reactions . Conclusion TEAS treatment is effective in relieving the symptoms of chronic pelvic pain due to the sequelae of inflammatory pelvic disease , and the combination of medication is better than monotherapy in improving pain symptoms and quality of life . Key words sequelae of inflammatory pelvic diseases ; chronic pelvic pain ; transcutaneous electrical acupoint stimulation ; randomized controlled trial;clinical efficacy

Objective:Taking the main international collaborative innovation network management modes for clinical research as a reference, to promote the construction of a collaborative innovation network for clinical research in China.Methods:Using literature research, case study, comparative analysis, and interview methods, this study systematically studied the collaborative innovation network management modes of clinical research in the United States, the United Kingdom, Japan, South Korea, and China from the perspective of integrating and sharing clinical research resources.Results:Based on the comparative results and drawing on foreign experience, suggestions were proposed to optimize the management mode of the clinical research collaborative innovation network in China and promote the construction of clinical research collaborative innovation network.Conclusions:It is recommended to establish national medical research institutions, increase investment in clinical research funds, build a platform for integrating volunteer resources based on clinical research collaborative innovation networks, and establish a clinical sample resource service platform to further supplement and improve the structure and layout of China’s clinical research collaborative innovation network.

In the central nervous system,CX3CL1 is a transmembrane chemokine expressed on neurons,and its specific receptor CX3CR1 is located on microglia.The combination of CX3CL1 and CX3CR1 is regarded as the bond of interaction between neurons and microglia.Bidirectional communication between microglia and neurons is essential for maintaining brain homeostasis and overcoming neuroinflammation,which is thought to play an important role in neurode-generative and cerebrovascular diseases.This article reviews the mechanisms of CX3CL1/CX3CR1 signaling pathway in the proliferation,metabolism,activation,polarization and regulation of synaptic plasticity of microglia,and uses this sig-naling pathway as a target to regulate the role of microglia in the disease process,which may provide a new target for the treatment of inflammation-related diseases.