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.

This study investigated the prevalence of hepatitis E virus(HEV)in rodents within the Inner Mongolia Autonomous Region.In 2024,liver,spleen,kidney,and lung tissue samples were collected from rodents in 11 leagues and cities across the Inner Mongolia Autonomous Region,including Hohhot,Baotou,Hulunbuir,Xing'an League,Tongliao,Chifeng,Xilin Gol League,Ulan-qab,Ordos,Bayannur,and Wuhai.Nested PCR(RT-PCR)was used to detect the conserved regions of the HEV open reading frame 1(ORF1)gene.The RT-PCR-positive products were sequenced,and phylogenetic and homology analysis of the obtained sequences was performed.A total of 816 rodents were captured in this investigation,including 319 Rattus norvegicus(39.09%,319/816),206 Musmusculus(25.25%,206/816),and 140 Mongolian gerbils(17.16%,140/816).The HEV infection rate among rodents in the In-ner Mongolia region was 3.68%(30/816).Sequencing of the RT-PCR-positive results and analysis of the nucleotide sequences yielded 30 HEV-positive rodent samples.Phylogenetic analysis identified these sequences as belonging to the HEV-C1 genotype.The prevalence of HEV was observed in brown rats(Rattus norvegicus)in five leagues and cities within the Inner Mongolia region,includ-ing Xing'an League,Chifeng City,Hulunbuir City,Xilin Gol League,and Tongliao City,with infection rates of 16.67%,10.00%,5.98%,3.30%,and 2.50%,respectively.Brown rats,a species of house rats,frequently inhabit areas near human residences and have close interactions with humans and livestock.Studies have shown that multiple subtypes of HEV can cause zoonotic infections.Therefore,strengthening the monitoring of pathogens carried by rodents in residential environments and optimizing the prevention and control of rodent-borne diseases will be essential.Timely dissemination of relevant infectious disease knowledge to local communities will also be crucial,to decrease the risk of human infection.

Aim To investigate the mechanism of Guanxinning injection regulating cardiac immune mi-croenvironment to improve myocardial infarction in mice.Methods In this study,MI model was estab-lished by permanent ligation of left anterior descending coronary artery in mice.The mice were divided into five groups:sham operation group,model group,Guanxinning injection low dose group,Guanxinning in-jection high dose group and positive drug captopril group.Hearts were weighed,heart tissues were collect-ed,and Masson staining was used for pathological anal-ysis of heart tissues;immunofluorescence staining was used to detect apoptosis and CCL21 expression in the infarct border zone;flow cytometry was used to detect the proportion of immune cells in myocardial ischemia tissues and lymph nodes;PCR was used to detect CCL21 expression in heart and in vitro human lymphat-ic endothelial cells(HLEC).Results Compared with the model group,the low and high dose groups of Guanxinning injection significantly improved cardiac hypertrophy.Apoptosis in the border zone of myocardi-al infarction was reduced in the low and high dose groups of Guanxinning injection and captopril group.Compared with the model group,the proportion of leu-kocytes in the infarct border zone was dreduced and the proportion of CD4+T cells,Treg cells,and CD8+T cells in the mediastinal lymph nodes and infarct border zone of the heart was regulated in the low and high dose groups of Guanxinning injection;CCL21 secretion by the heart and lymphatic vessels increased.Conclu-sions Guanxinning injection can significantly improve cardiac hypertrophy and fibrosis in MI mice,reduce ap-optosis in the infarct border zone,and play a role in an-ti-myocardial ischemia injury by promoting CCL21 ex-pression in lymphatic vessels to regulate the proportion of mediastinal lymph nodes and cardiac T cells after myocardial infarction.

This study investigated the prevalence of hepatitis E virus(HEV)in rodents within the Inner Mongolia Autonomous Region.In 2024,liver,spleen,kidney,and lung tissue samples were collected from rodents in 11 leagues and cities across the Inner Mongolia Autonomous Region,including Hohhot,Baotou,Hulunbuir,Xing'an League,Tongliao,Chifeng,Xilin Gol League,Ulan-qab,Ordos,Bayannur,and Wuhai.Nested PCR(RT-PCR)was used to detect the conserved regions of the HEV open reading frame 1(ORF1)gene.The RT-PCR-positive products were sequenced,and phylogenetic and homology analysis of the obtained sequences was performed.A total of 816 rodents were captured in this investigation,including 319 Rattus norvegicus(39.09%,319/816),206 Musmusculus(25.25%,206/816),and 140 Mongolian gerbils(17.16%,140/816).The HEV infection rate among rodents in the In-ner Mongolia region was 3.68%(30/816).Sequencing of the RT-PCR-positive results and analysis of the nucleotide sequences yielded 30 HEV-positive rodent samples.Phylogenetic analysis identified these sequences as belonging to the HEV-C1 genotype.The prevalence of HEV was observed in brown rats(Rattus norvegicus)in five leagues and cities within the Inner Mongolia region,includ-ing Xing'an League,Chifeng City,Hulunbuir City,Xilin Gol League,and Tongliao City,with infection rates of 16.67%,10.00%,5.98%,3.30%,and 2.50%,respectively.Brown rats,a species of house rats,frequently inhabit areas near human residences and have close interactions with humans and livestock.Studies have shown that multiple subtypes of HEV can cause zoonotic infections.Therefore,strengthening the monitoring of pathogens carried by rodents in residential environments and optimizing the prevention and control of rodent-borne diseases will be essential.Timely dissemination of relevant infectious disease knowledge to local communities will also be crucial,to decrease the risk of human infection.

Aim To investigate the mechanism of Guanxinning injection regulating cardiac immune mi-croenvironment to improve myocardial infarction in mice.Methods In this study,MI model was estab-lished by permanent ligation of left anterior descending coronary artery in mice.The mice were divided into five groups:sham operation group,model group,Guanxinning injection low dose group,Guanxinning in-jection high dose group and positive drug captopril group.Hearts were weighed,heart tissues were collect-ed,and Masson staining was used for pathological anal-ysis of heart tissues;immunofluorescence staining was used to detect apoptosis and CCL21 expression in the infarct border zone;flow cytometry was used to detect the proportion of immune cells in myocardial ischemia tissues and lymph nodes;PCR was used to detect CCL21 expression in heart and in vitro human lymphat-ic endothelial cells(HLEC).Results Compared with the model group,the low and high dose groups of Guanxinning injection significantly improved cardiac hypertrophy.Apoptosis in the border zone of myocardi-al infarction was reduced in the low and high dose groups of Guanxinning injection and captopril group.Compared with the model group,the proportion of leu-kocytes in the infarct border zone was dreduced and the proportion of CD4+T cells,Treg cells,and CD8+T cells in the mediastinal lymph nodes and infarct border zone of the heart was regulated in the low and high dose groups of Guanxinning injection;CCL21 secretion by the heart and lymphatic vessels increased.Conclu-sions Guanxinning injection can significantly improve cardiac hypertrophy and fibrosis in MI mice,reduce ap-optosis in the infarct border zone,and play a role in an-ti-myocardial ischemia injury by promoting CCL21 ex-pression in lymphatic vessels to regulate the proportion of mediastinal lymph nodes and cardiac T cells after myocardial infarction.

Objective To develop and validate a transgenic mouse model enabling specific and inducible optogenetic activation of oligodendrocyte precursor cells(OPCs).Methods A conditional allele for the photosensitive opsin chicken opsin 5(cOpn5)(Rosa26-LSL-cOpn5)was generated using CRISPR/Cas9 technology.These mice were subsequently crossed with NG2-CreERT transgenic mice to produce NG2-CreERT;cOpn5 animals.In this model,tamoxifen administration induces Cre-mediated recombination,leading to specific expression of cOpn5 in NG2-positive OPCs.The specificity and efficiency of cOpn5 expression in OPCs were confirmed by immunofluorescent staining.Functional validation of light-induced OPC activation was performed by using calcium imaging in acute brain slices after stimulation with 470 nm blue light.Results Immunofluorescence analysis confirmed robust and specific expression of cOpn5 within NG2-positive OPCs in the brains of tamoxifen-treated NG2-CreERT;cOpn5 mice.Crucially,calcium imaging of acute brain slices from these mice demonstrated a significant increase in intracellular calcium levels in cOpn5-expressing OPCs upon stimulation with 470 nm blue light,indicating successful optogenetic activation.Conclusion We have successfully generated and validated a novel transgenic mouse model(NG2-CreERT;cOpn5)that permits specific and inducible optogenetic activation of OPCs.This model provides a novel tool for subsequent in vivo studies of the role and regulating mechanisms of OPCs in the central nervous system.

Off-label drug use in psychiatry has long been prevelent, with common clinical practices lacking standardized guidance and associated risks warranting close attention. To address the practical needs of frontline clinicians, the Mental Health Branch of the China National Narcotic Drugs Association, in collaboration with multiple institutions, has launched a project to formulate the Guidelines on Off-label Use of Common Psychiatric Medications in China ("Guideline"). The Guidelines focuses on evaluating evidence and formulating recommendations regarding off-label use scenarios of common psychiatric medications, including indications, dosage, administration, and specific populations. It employs standard methodological frameworks, notably the GRADE-ADOLOPMENT approach (Grading of Recommendations Assessment, Development, and Evaluation Evidence to Decision frameworks for adoption, adaptation, and de?novo development of recommendations), to ensure both scientific rigor and practical applicability. This proposal systematically outlines the background, objectives, processes, organizational structure, and methodologies of the Guideline, aiming to provide psychiatrists with practical and evidence-based prescribing recommendations.

Objective To develop and validate a transgenic mouse model enabling specific and inducible optogenetic activation of oligodendrocyte precursor cells(OPCs).Methods A conditional allele for the photosensitive opsin chicken opsin 5(cOpn5)(Rosa26-LSL-cOpn5)was generated using CRISPR/Cas9 technology.These mice were subsequently crossed with NG2-CreERT transgenic mice to produce NG2-CreERT;cOpn5 animals.In this model,tamoxifen administration induces Cre-mediated recombination,leading to specific expression of cOpn5 in NG2-positive OPCs.The specificity and efficiency of cOpn5 expression in OPCs were confirmed by immunofluorescent staining.Functional validation of light-induced OPC activation was performed by using calcium imaging in acute brain slices after stimulation with 470 nm blue light.Results Immunofluorescence analysis confirmed robust and specific expression of cOpn5 within NG2-positive OPCs in the brains of tamoxifen-treated NG2-CreERT;cOpn5 mice.Crucially,calcium imaging of acute brain slices from these mice demonstrated a significant increase in intracellular calcium levels in cOpn5-expressing OPCs upon stimulation with 470 nm blue light,indicating successful optogenetic activation.Conclusion We have successfully generated and validated a novel transgenic mouse model(NG2-CreERT;cOpn5)that permits specific and inducible optogenetic activation of OPCs.This model provides a novel tool for subsequent in vivo studies of the role and regulating mechanisms of OPCs in the central nervous system.

Objective:To analyze the prevalence of the Dabie bandavirus among rats in Taipusi Banner, Xilingol League, Inner Mongolia Autonomous Region.Methods:The cytochrome b gene for the identification of rat species was amplified. Real-Time RT-PCR and RT-PCR were used to amplify and sequence DBV positive rat tissues and detected by XilinGol League Center for Disease Control and Prevention, and the gene evolution was analyzed.Results:The rat was identified as Spermophilus dauricus. Through molecular detection on 20 samples, 15 samples showed positive result in Real Time RT-PCR nucleic acid test, and 7 samples showed positive result in RT-PCR nucleic acid test. Seven base sequences were obtained through sequencing, and they were compared with those in the National Center for Biotechnology Information (NCBI) of the United States by BLAST. It was determined that they were the S gene sequences of DBV. It has been uploaded to GenBank with serial numbers PV231886, PV231887 and PV231888.Conclusions:DBV was detected for the first time in the mice of Inner Mongolia Autonomous Region. In future work, monitoring of DBV carried by rodents and ectoparasites such as ticks and fleas in this area should be strengthened. Publicity and education on severe fever with thrombocytopenia syndrome should be carried out in this area to improve the local medical system′s ability to identify such cases, ensuring early detection, early diagnosis, and early treatment, and reducing the occurrence of human cases and clustered outbreaks.