1.Textual Research on Key Information of Famous Classical Formula Jiegengtang
Yang LEI ; Yuli LI ; Xiaoming XIE ; Zhen LIU ; Shanghua ZHANG ; Tieru CAI ; Ying TAN ; Weiqiang ZHOU ; Zhaoxu YI ; Yun TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):182-190
Jiegengtang is a basic formula for treating sore throat and cough. By means of bibliometrics, this study conducted a textual research and analysis on the key information such as formula origin, decocting methods, and clinical application of Jiegengtang. After the research, it can be seen that Jiegengtang is firstly contained in Treatise on Febrile and Miscellaneous Disease, which is also known as Ganjietang, and it has been inherited and innovated by medical practitioners of various dynasties in later times. The origins of Chinese medicines in this formula is basically clear, Jiegeng is the dried roots of Platycodon grandiflorum, Gancao is the dried roots and rhizomes of Glycyrrhiza uralensis, the two medicines are selected raw products. The dosage is 27.60 g of Glycyrrhizae Radix et Rhizoma and 13.80 g of Platycodonis Radix, decocted with 600 mL of water to 200 mL, taken warmly after meals, twice a day, 100 mL for each time. In ancient times, Jiegengtang was mainly used for treating Shaoyin-heat invasion syndrome, with cough and sore throat as its core symptoms. In modern clinical practice, Jiegengtang is mainly used for respiratory diseases such as pharyngitis, esophagitis, tonsillitis and lung abscess, especially for pharyngitis and lung abscess with remarkable efficacy. This paper can provide literature reference basis for the modern clinical application and new drug development of Jiegengtang.
2.Textual Research on Key Information of Famous Classical Formula Jiegengtang
Yang LEI ; Yuli LI ; Xiaoming XIE ; Zhen LIU ; Shanghua ZHANG ; Tieru CAI ; Ying TAN ; Weiqiang ZHOU ; Zhaoxu YI ; Yun TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):182-190
Jiegengtang is a basic formula for treating sore throat and cough. By means of bibliometrics, this study conducted a textual research and analysis on the key information such as formula origin, decocting methods, and clinical application of Jiegengtang. After the research, it can be seen that Jiegengtang is firstly contained in Treatise on Febrile and Miscellaneous Disease, which is also known as Ganjietang, and it has been inherited and innovated by medical practitioners of various dynasties in later times. The origins of Chinese medicines in this formula is basically clear, Jiegeng is the dried roots of Platycodon grandiflorum, Gancao is the dried roots and rhizomes of Glycyrrhiza uralensis, the two medicines are selected raw products. The dosage is 27.60 g of Glycyrrhizae Radix et Rhizoma and 13.80 g of Platycodonis Radix, decocted with 600 mL of water to 200 mL, taken warmly after meals, twice a day, 100 mL for each time. In ancient times, Jiegengtang was mainly used for treating Shaoyin-heat invasion syndrome, with cough and sore throat as its core symptoms. In modern clinical practice, Jiegengtang is mainly used for respiratory diseases such as pharyngitis, esophagitis, tonsillitis and lung abscess, especially for pharyngitis and lung abscess with remarkable efficacy. This paper can provide literature reference basis for the modern clinical application and new drug development of Jiegengtang.
3.Da Chaihutang for Treatment of Sepsis with Yang Syndrome:A Randomized Controlled Trial
Na HUANG ; Guangmei CHEN ; Xingyu KAO ; Zhen YANG ; Weixian XU ; Kang YUAN ; Junna LEI ; Jingli CHEN ; Mingfeng HE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):55-63
ObjectiveTo explore the clinical efficacy and safety of Da Chaihutang (DCH) for the treatment of sepsis with Yang syndrome. MethodsA total of 70 patients suffering from sepsis with Yang syndrome were randomly divided into an observation group and a control group, with 35 cases in each group. They both received standard Western medicine treatment. The observation group was additionally given a dose of DCH, which was boiled into 100 mL and taken twice. The control group was additionally given an equal volume and dosage of warm water. The intervention lasted for three days. The 28-day all-cause mortality and the changes in the following indicators before and after intervention were compared between the two groups, including sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score,white blood cell (WBC),the percentage of neutrophils (NEU%),C-reactive protein (CRP),procalcitonin (PCT),alanine transaminase (ALT),aspartate transaminase (AST),total bilirubin (TBil),creatinine (Cr),blood urea nitrogen (BUN),acute gastrointestinal injury (AGI) grade,gastrointestinal dysfunction score (GDS),serum intestinal fatty acid-binding protein (iFABP), citrulline (CR),platelet (PLT),prothrombin time(PT),activated partial thromboplastin time (APTT),fibrinogen (Fib),international normalized ratio (INR),and D-dimer (D-D). ResultsThere was no significant difference between the two groups regarding 28-day all-cause mortality. After the intervention,SOFA,WBC,PCT,and Cr were significantly decreased, and PLT was significantly increased in the control group (P<0.05). SOFA,APACHE Ⅱ,NEU%,CRP,PCT,ALT,AST,Cr,BUN,AGI grade,GDS,and serum iFABP and CR were significantly improved in the observation group (P<0.05). After the intervention,APACHE Ⅱ,PCT,AGI grade,GDS,and serum iFABP in the observation group were significantly lower than those in the control group ,while CR and PLT were higher (P<0.05,P<0.01). There were significant differences regarding the gap of SOFA,APACHE Ⅱ,AST,TBil,AGI grade,GDS,iFABP,CR, and PLT between the two groups (P<0.05,P<0.01). There were slight differences regarding PT,APTT,Fib,INR,and D-D between the two groups,which were in the clinical normal range. ConclusionOn the basis of Western medicine, DCH helped to reduce sepsis severity and improved multiple organ dysfunction with high clinical efficacy and safety, but further research on its impact on the prognosis of patients with sepsis is still required.
4.Analysis of Treatment of Diabetic Kidney Disease with Modified Buyang Huanwutang Based on 5hmC-Seal Sequencing Technology
Baixin ZHEN ; Haoyu CHEN ; Duolikun MAIMAITIYASEN ; Xuehui LI ; Hong XIAO ; Xiaxuan LI ; Kuerban SUBINUER ; Lei ZHANG ; Hangyu CHEN ; Jian LIN ; Linlin LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):208-217
ObjectiveTo improve the therapeutic effect of Buyang Huanwutang(BYHW) on diabetic kidney disease (DKD) and explore new methods for developing new Chinese medicine decoctions,we utilized 5-hydroxymethylcytosine (5hmC)-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus (DM) patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA (cfDNA) in the patients’ plasma was sequenced. After data processing and screening, we performed temporal clustering analysis to select a DKD 5hmC gene set, which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the Encyclopedia of Traditional Chinese Medicine (ETCM), and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction (PPI) network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed on non-common DKD genes, and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes, and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass, random blood glucose, urinary microalbumin (mALB), serum creatinine (Scr), and blood urea nitrogen (BUN) and by hematoxylin-eosin staining, periodic acid-Schiff staining, Masson staining, immunofluorescence assay, and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes, of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 (IL-6), Toll-like receptor 4 (TLR4), lactotransferrin (LTF), lipoprotein lipase (LPL), and sterol regulatory element-binding transcription factor 1 (SREBF1). Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes, among which TBC1 domain family member 5 (TBC1D5), RAD51 paralog B (RAD51B), and proteasome 20S subunit alpha 6 (PSMA6) had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine, glycine, myristicin, serine, and tyrosine, corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus, Ginseng Radix et Rhizoma, Dioscoreae Rhizoma, Rehmanniae Radix Praeparata, Isatidis Radix, Glehniae Radix, Ophiopogonis Radix, Allii Sativi Bulbus, Isatidis Folium, and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory, the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice, with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions, potentially offering new perspectives for the exploration of these prescriptions
5.Analysis of Treatment of Diabetic Kidney Disease with Modified Buyang Huanwutang Based on 5hmC-Seal Sequencing Technology
Baixin ZHEN ; Haoyu CHEN ; Duolikun MAIMAITIYASEN ; Xuehui LI ; Hong XIAO ; Xiaxuan LI ; Kuerban SUBINUER ; Lei ZHANG ; Hangyu CHEN ; Jian LIN ; Linlin LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):208-217
ObjectiveTo improve the therapeutic effect of Buyang Huanwutang(BYHW) on diabetic kidney disease (DKD) and explore new methods for developing new Chinese medicine decoctions,we utilized 5-hydroxymethylcytosine (5hmC)-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus (DM) patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA (cfDNA) in the patients’ plasma was sequenced. After data processing and screening, we performed temporal clustering analysis to select a DKD 5hmC gene set, which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the Encyclopedia of Traditional Chinese Medicine (ETCM), and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction (PPI) network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed on non-common DKD genes, and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes, and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass, random blood glucose, urinary microalbumin (mALB), serum creatinine (Scr), and blood urea nitrogen (BUN) and by hematoxylin-eosin staining, periodic acid-Schiff staining, Masson staining, immunofluorescence assay, and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes, of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 (IL-6), Toll-like receptor 4 (TLR4), lactotransferrin (LTF), lipoprotein lipase (LPL), and sterol regulatory element-binding transcription factor 1 (SREBF1). Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes, among which TBC1 domain family member 5 (TBC1D5), RAD51 paralog B (RAD51B), and proteasome 20S subunit alpha 6 (PSMA6) had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine, glycine, myristicin, serine, and tyrosine, corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus, Ginseng Radix et Rhizoma, Dioscoreae Rhizoma, Rehmanniae Radix Praeparata, Isatidis Radix, Glehniae Radix, Ophiopogonis Radix, Allii Sativi Bulbus, Isatidis Folium, and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory, the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice, with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions, potentially offering new perspectives for the exploration of these prescriptions
6.Prenatal Mental Health and Its Stress-Process Mechanisms During a Pandemic Lockdown: A Moderated Parallel Mediation Model
Man JIANG ; Lei CHEN ; Nan TUO ; Dongjian YANG ; Shimeng LIU ; Zhen HUANG
Psychiatry Investigation 2025;22(3):221-230
Objective:
Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood.
Methods:
This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken.
Results:
In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies.
Conclusion
This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.
7.Prenatal Mental Health and Its Stress-Process Mechanisms During a Pandemic Lockdown: A Moderated Parallel Mediation Model
Man JIANG ; Lei CHEN ; Nan TUO ; Dongjian YANG ; Shimeng LIU ; Zhen HUANG
Psychiatry Investigation 2025;22(3):221-230
Objective:
Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood.
Methods:
This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken.
Results:
In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies.
Conclusion
This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.
8.Prenatal Mental Health and Its Stress-Process Mechanisms During a Pandemic Lockdown: A Moderated Parallel Mediation Model
Man JIANG ; Lei CHEN ; Nan TUO ; Dongjian YANG ; Shimeng LIU ; Zhen HUANG
Psychiatry Investigation 2025;22(3):221-230
Objective:
Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood.
Methods:
This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken.
Results:
In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies.
Conclusion
This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.
9.Prenatal Mental Health and Its Stress-Process Mechanisms During a Pandemic Lockdown: A Moderated Parallel Mediation Model
Man JIANG ; Lei CHEN ; Nan TUO ; Dongjian YANG ; Shimeng LIU ; Zhen HUANG
Psychiatry Investigation 2025;22(3):221-230
Objective:
Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood.
Methods:
This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken.
Results:
In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies.
Conclusion
This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.
10.Prenatal Mental Health and Its Stress-Process Mechanisms During a Pandemic Lockdown: A Moderated Parallel Mediation Model
Man JIANG ; Lei CHEN ; Nan TUO ; Dongjian YANG ; Shimeng LIU ; Zhen HUANG
Psychiatry Investigation 2025;22(3):221-230
Objective:
Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood.
Methods:
This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken.
Results:
In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies.
Conclusion
This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

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