Through consulting herbal medicine， medical books， and local chronicles from past dynasties to modern times， this paper systematically researched Spatholobi Caulis from name， origin， producing areas， harvesting， processing， usage， quality evaluation， functions and indications， providing a reference for the development and utilization of famous classical formulas containing Spatholobi Caulis. According to the research， Spatholobi Caulis was first recorded in the Annals of Shunning Prefecture from the Qing dynasty. It was originally a medicinal herb commonly used in Shunning， Yunnan， and was named from the red juice resembling chicken blood that flowed out after the vein was cut off. The mainstream original plants of each dynasty were Kadsura heteroclita and Spatholobus suberectus. Among them， K. heteroclita mainly focused on dispersing blood stasis and unblocking meridians， mainly treating rheumatic pain and injuries caused by falls or blows， and it is mostly used as the raw material of Jixueteng ointments. S. suberectus was commonly used as decoction pieces in decoction， which had the functions of promoting blood circulation and replenishing blood， activating meridians and collaterals， and mainly used for treating anemia， irregular menstruation， and rheumatic bone pain. The production area of Spatholobi Caulis recorded in the Qing dynasty was Yunnan. Currently， the main production area of S. suberectus is Guangxi， while the main production area of K. interior is Yunnan. In the Qing dynasty， the usage of Spatholobi Caulis was an individual prescription with other herbs before making ointments， which was usually composed of the juice of it， safflower， angelica， and glutinous rice. But in modern times， Spatholobi Caulis is mostly sliced and dried for use. The quality of Spatholobi Caulis is often determined by the number of reddish-brown concentric circles on the cut surface， with a higher number indicating better quality. Additionally， the presence of resinous secretions is also considered desirable. Based on the research findings， it is suggested that when developing famous classical formulas containing Spatholobi Caulis， the choice of the primary source should be S. suberectus or K. heteroclita， taking into consideration the therapeutic effects of the formula. It is also recommended that the latest plant classification be referenced in the next edition of Chinese Pharmacopoeia， adjusting the primary source of Kadsurae Caulis to K. heteroclita to avoid confusion caused by inconsistent original names， and the functions adjust to promote Qi circulation and relieve pain， disperse blood stasis and unblock collaterals， treating injuries caused by falls and bruises.

Hepatic encephalopathy is a difficult and critical disease with rapid progression and limited treatment methods in the field of liver disease， and it is urgently needed to make breakthroughs in its pathogenesis. Selection of appropriate prevention and treatment strategies is of great importance in delaying disease progression and reducing the incidence and mortality rates. This article reviews the theory of “turbid toxin pathogenesis” and related prevention and treatment strategies for hepatic encephalopathy in traditional Chinese medicine/Zhuang medicine， proposes a new theory of “turbid toxin pathogenesis”， analyzes the scientific connotations of “turbid”， “toxin”， and the theory of “turbid toxin pathogenesis”， and constructs the “four-step” prevention and treatment strategies for hepatic encephalopathy， thereby establishing the new clinical prevention and treatment regimen for hepatic encephalopathy represented by “four prescriptions and two techniques” and clarifying the effect mechanism and biological basis of core prescriptions and techniques in the prevention and treatment of hepatic encephalopathy， in order to provide a reference for the prevention and treatment of hepatic encephalopathy.

Ulcerative colitis（UC） is a chronic non-specific inflammatory bowel disease characterized by inflammation and ulceration of the colonic mucosa and submucosa， and its complex pathogenesis involves immune abnormality， oxidative stress and other factors. The nuclear transcription factor E₂-related factor 2（Nrf2）， encoded by the Nfe212 gene， plays a central role in antioxidant responses. It not only activates various antioxidant response elements such as heme oxygenase-1（HO-1） and quinone oxidoreductase 1（NQO1）， but also enhances the activity of glutathione-S-transferase（GST） and superoxide dismutase 1（SOD1）， effectively eliminating reactive oxygen species（ROS） accumulated in the body， and mitigating oxidative stress-induced damage to intestinal mucosa. In addition， Nrf2 can reduce the release of inflammatory factors and infiltration of immune cells by regulating immune response， cell apoptosis and autophagy pathways， thereby alleviating intestinal inflammation and promoting the repair and regeneration of damaged mucosa. Based on this， this paper reviews the research progress of Chinese materia medica in the prevention and treatment of UC by modulating the Nrf2 signaling pathway. It deeply explores the physiological role of Nrf2， the molecular mechanism of activation， the protective effect in the pathological process of UC， and how active ingredients in Chinese materia medica regulate the Nrf2 signaling pathway through multiple pathways to exert their potential mechanisms. These studies have revealed in depth that Chinese materia medica can effectively combat oxidative stress by regulating the Nrf2 signaling pathway. It can also play a role in anti-inflammatory， promoting autophagy， inhibiting apoptosis， protecting the intestinal mucosal barrier， and promoting intestinal mucosal repair， providing new ideas and methods for the multi-faceted treatment of UC.

The interleukin-10 （IL-10） family is expressed in various types of cells and has a wide range of biological functions， and it plays an important role in the development and progression of hepatic fibrosis. Hepatic fibrosis is a chronic liver disease characterized by abnormal repair of hepatic tissues after injury， activation of hepatic stellate cells， and excessive accumulation of extracellular matrix. The IL-10 family members include IL-10， IL-19， IL-20， IL-22， IL-24， IL-26， IL-28， IL-29， and IL-35， with similarities in structure and function， and changes in their expression levels are closely associated with the progression of hepatic fibrosis. Moderate upregulation of the expression of IL-10 family members can help maintain the quiescent state of hepatic stellate cells， promote the transformation of macrophages to anti-inflammatory phenotype， and regulate the activity of natural killer cells， thereby inhibiting inflammatory response， regulating cell apoptosis and autophagy， and finally reversing the progression of hepatic fibrosis. This article discusses the mechanism of action of IL-10 family members and their application in traditional Chinese medicine and Western medicine therapies， in order to provide new thoughts for the treatment of hepatic fibrosis.

This article systematically analyzes the historical evolution of the name， origin， medicinal parts， harvesting and processing， and other aspects of Manjiao and Zanthoxyli Radix by referring to the herbal medicine， medical books， prescription books and other documents of the past dynasties， combined with the relevant modern research materials， in order to provide a basis for the development of famous classical formulas containing the two medicinal materials. According to the herbal textual research， Manjiao was first recorded in Shennong Bencaojing of the Han dynasty with aliases such as Zhujiao， Goujiao and Zhijiao. Throughout history， Manjiao was sourced from the stems and roots of Zanthoxylum armatum in the Rutaceae family， and its leaves and fruits can also be used in medicine. The traditional recorded production area was mainly in Yunzhong（now Tuoketuo region in Inner Mongolia）， with mentions in Zhejiang， Hunan， Fujian， Guangdong， Guangxi， Yunnan， Taiwan， and other provinces. Presently， this species is distributed from the south of Shandong， to Hainan， Taiwan， Tibet and other regions. The roots can be harvested year-round， while the fruits are harvested in autumn after maturity. In ancient times， the roots and stems were mostly used for brewing or soaking in wine， whereas nowadays， the roots are often sliced and then used as a raw material in traditional Chinese medicine， and the fruits should be stir-fried before use. Manjiao has a bitter taste and warm property， and was historically used to treat wind-cold dampness， joint pain， limb numbness， and knee pain. Modern researches have summarized its effects as dispelling wind， dispersing cold， promoting circulation， and relieving pain， and it is used for treating rheumatoid arthritis， toothache， bruises， as well as an anthelmintic. Zanthoxyli Radix initially known as Rudi Jinniugen， recorded in Bencao Qiuyuan of the Qing dynasty， with the alternate name of Liangbianzhen. In recent times， it is more commonly referred to as Liangmianzhen， sourced from the dried roots of Z. nitidum of the Rutaceae family， mainly produced in Guangxi and Guangdong. It can be harvested throughout the year， cleaned， sliced， and dried after harvesting. Zanthoxyli Radix is pungent， bitter， warm and slightly toxic， with the functions of promoting blood circulation， removing stasis， relieving pain， dispelling wind， and resolving swelling. Based on the results of herbal textual research， it is clarified that the ancient Manjiao and the modern Zanthoxyli Radix are not the same species. This article corrects the mistaken belief of by previous scholars that Zanthoxyli Radix is the same as ancient Manjiao， and suggests that formulas described as Manjiao should use Z. armatum as the medicinal herb， while those described as Liangmianzhen or Rudi Jinniu should use Z. nitidum. The processing was performed according to the processing requirements prescribed in the formulas， otherwise， the raw products are recommended for use.

This article systematically analyzes the historical evolution of the name， origin， medicinal parts， harvesting and processing， and other aspects of Manjiao and Zanthoxyli Radix by referring to the herbal medicine， medical books， prescription books and other documents of the past dynasties， combined with the relevant modern research materials， in order to provide a basis for the development of famous classical formulas containing the two medicinal materials. According to the herbal textual research， Manjiao was first recorded in Shennong Bencaojing of the Han dynasty with aliases such as Zhujiao， Goujiao and Zhijiao. Throughout history， Manjiao was sourced from the stems and roots of Zanthoxylum armatum in the Rutaceae family， and its leaves and fruits can also be used in medicine. The traditional recorded production area was mainly in Yunzhong（now Tuoketuo region in Inner Mongolia）， with mentions in Zhejiang， Hunan， Fujian， Guangdong， Guangxi， Yunnan， Taiwan， and other provinces. Presently， this species is distributed from the south of Shandong， to Hainan， Taiwan， Tibet and other regions. The roots can be harvested year-round， while the fruits are harvested in autumn after maturity. In ancient times， the roots and stems were mostly used for brewing or soaking in wine， whereas nowadays， the roots are often sliced and then used as a raw material in traditional Chinese medicine， and the fruits should be stir-fried before use. Manjiao has a bitter taste and warm property， and was historically used to treat wind-cold dampness， joint pain， limb numbness， and knee pain. Modern researches have summarized its effects as dispelling wind， dispersing cold， promoting circulation， and relieving pain， and it is used for treating rheumatoid arthritis， toothache， bruises， as well as an anthelmintic. Zanthoxyli Radix initially known as Rudi Jinniugen， recorded in Bencao Qiuyuan of the Qing dynasty， with the alternate name of Liangbianzhen. In recent times， it is more commonly referred to as Liangmianzhen， sourced from the dried roots of Z. nitidum of the Rutaceae family， mainly produced in Guangxi and Guangdong. It can be harvested throughout the year， cleaned， sliced， and dried after harvesting. Zanthoxyli Radix is pungent， bitter， warm and slightly toxic， with the functions of promoting blood circulation， removing stasis， relieving pain， dispelling wind， and resolving swelling. Based on the results of herbal textual research， it is clarified that the ancient Manjiao and the modern Zanthoxyli Radix are not the same species. This article corrects the mistaken belief of by previous scholars that Zanthoxyli Radix is the same as ancient Manjiao， and suggests that formulas described as Manjiao should use Z. armatum as the medicinal herb， while those described as Liangmianzhen or Rudi Jinniu should use Z. nitidum. The processing was performed according to the processing requirements prescribed in the formulas， otherwise， the raw products are recommended for use.

BACKGROUND:Previous studies by our research group discovered that Jiawei Xiaoyao San has a significant anti-liver cancer effect,but the specific mechanism of action was unclear. OBJECTIVE:To investigate the regulatory effects of the traditional Chinese medicine formula Jiawei Xiaoyao San on the levels of miRNAs in plasma exosomes of rats with diethylnitrosamine chronically induced primary liver cancer,based on high-throughput sequencing combined with bioinformatics. METHODS:SD rats were randomly divided into a blank control group,a liver cancer model group,and a Jiawei Xiaoyao San treatment group.Liver cancer models were induced by continuous administration of diethylnitrosamine for 12 weeks.Starting from the 17th week,rats in the Jiawei Xiaoyao San treatment group were administered Jiawei Xiaoyao San once daily until the end of the 20th week,while rats in the blank control and liver cancer model groups were given an equivalent volume of saline.Anti-hepatocellular carcinoma effects were validated by assessing the morphological structure of rat liver tissues,along with the expression of the hepatocellular carcinoma markers,Glypican-3 protein and serum alpha-fetoprotein.Plasma exosomes from each group of rats were isolated using ultracentrifugation.High-throughput sequencing technology was used to screen for differentially expressed miRNAs in rat plasma exosomes.Bioinformatics was used to predict the potential biomarkers through which Jiawei Xiaoyao San exerts its anti-liver cancer effects via liver cancer-derived exosomal miRNAs,followed by functional analysis. RESULTS AND CONCLUSION:(1)Jiawei Xiaoyao San significantly improved the morphological structure of liver tissues in a rat model of liver cancer.Compared with the liver cancer model group,the expression of liver cancer markers Glypican-3 protein and serum alpha-fetoprotein was significantly reduced in the Jiawei Xiaoyao San treatment group.(2)Bioinformatics analysis showed that in the Jiawei Xiaoyao San group,upregulated miR-223-3p in the liver cancer model group had target binding sites with genes E2F1 and NCOA1,which were closely related to liver cancer survival and prognosis.Therefore,Jiawei Xiaoyao San has a therapeutic effect on liver cancer,possibly by targeting negative regulation of NCOA1/E2F1 through liver cancer plasma-derived exosomal miR-223-3p,thereby playing anti-liver cancer effect.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.