ObjectiveThis paper aims to clarify the material basis of Gualou Niubangtang and establish a quantitative analysis method for its main constituents， providing a reference for the overall quality control of this preparation. MethodsThe constituents in the formula were systematically characterized based on ultra-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry （UPLC-Q-TOF-MS/MS）. Identification was performed by matching with the UNIFI 9.6 software and utilizing database platforms such as PubChem， ChemicalBook， and ChemSpider， combined with relevant literature reports. A quantitative analysis method for the seven main constituents in Gualou Niubangtang was established by using high performance liquid chromatography （HPLC）. ResultsUPLC-Q-TOF-MS/MS analysis identified 155 constituents， including 69 flavonoids， 36 terpenoids， 23 phenylpropanoids， 8 phenylethanoid glycosides， and 19 other types of constituents. In the established quantitative analysis method， the seven main constituents showed good linearity within their respective linear ranges. The precision， repeatability， stability， and spike recovery all met the required standards. The results showed that the content ranges of geniposide， liquiritin， hesperidin， arctiin， baicalin， oroxylin A-7-O-β-D-glucuronide， and wogonoside in 15 batches of Gualou Niubangtang were 13.67-21.25， 1.20-7.64， 5.45-7.45， 22.97-33.51， 29.95-39.07， 2.58-4.80， and 6.56-9.31 mg·g^-1， respectively. ConclusionThis study successfully characterizes and attributes multi-category constituents in Gualou Niubangtang， clarifying that its material basis is primarily composed of flavonoids， terpenoids， phenylethanoid glycosides， and phenylpropanoids. Furthermore， it enables the quantification of seven constituents within the formula. This work lays a foundation for research on the quality control， action mechanism， and clinical application of this formula.

OBJECTIVE To explore the effect and mechanism of Prunus mume against hepatic fibrosis （HF）. METHODS Male SD rats were randomly divided into normal control group （n＝10） and modeling group （n＝50）. The modeling group established HF model using carbon tetrachloride. The modeled rats were randomly divided into model group （normal saline）， positive control group [colchicine， 0.09 mg/（kg·d）]， and P. mume low-dose， medium-dose and high-dose groups [1.35， 2.70， 5.40 g/（kg·d）]， with 9 rats in each group. They were given the corresponding drug/normal saline intragastrically， once a day， for 8 consecutive weeks. After the last medication， the liver index was calculated， while liver function indexes， liver fiber indexes， oxidative stress indicators and inflammatory factors of rats were measured. HE staining was used to observe the pathological changes in liver tissue of rats； Masson staining was used to observe the degree of HF in liver tissue of rats； transmission electron microscopy was used to observe the ultrastructure of liver tissue in rats； TUNEL staining was used to detect liver cell apoptosis in each group of rats. Western blot method was used to detect the protein expressions of transforming growth factor-β1 （TGF-β1） and platelet-derived growth factor （PDGF） in liver tissue of rats. RESULTS Compared with normal control group， the levels of alanine transaminase， alkaline phosphatase， aspartate transaminase， total bilirubin， malondialdehyde， procollagen type Ⅲ protein， Ⅳ-type pre collagenase， laminin， hyaluronic acid， interleukin-6， tumor necrosis factor-α， as well as the protein expressions of TGF-β1 and PDGF in model group were increased significantly， while the levels of superoxide dismutase and glutathione peroxidase were significantly reduced （P＜0.01）； the HE， Masson staining and transmission electron microscopy observation results showed obvious HF characteristics in rats of model group. Compared with model group， varying degrees of improvement in above indexes were observed in P. mume groups， and the above 2021BSZR011） indicators of rats in P. mume medium-dose and high-dose groups were reversed significantly （P＜0.05 or P＜0.01）. CONCLUSIONS P. mume has an anti-HF effect， which may be achieved through mechanisms such as antioxidation， anti-inflammation， reduction of collagen production， inhibition of PDGF protein expression， and regulation of TGF- β1 signaling pathway.

OBJECTIVE To explore the effect and mechanism of Prunus mume against hepatic fibrosis （HF）. METHODS Male SD rats were randomly divided into normal control group （n＝10） and modeling group （n＝50）. The modeling group established HF model using carbon tetrachloride. The modeled rats were randomly divided into model group （normal saline）， positive control group [colchicine， 0.09 mg/（kg·d）]， and P. mume low-dose， medium-dose and high-dose groups [1.35， 2.70， 5.40 g/（kg·d）]， with 9 rats in each group. They were given the corresponding drug/normal saline intragastrically， once a day， for 8 consecutive weeks. After the last medication， the liver index was calculated， while liver function indexes， liver fiber indexes， oxidative stress indicators and inflammatory factors of rats were measured. HE staining was used to observe the pathological changes in liver tissue of rats； Masson staining was used to observe the degree of HF in liver tissue of rats； transmission electron microscopy was used to observe the ultrastructure of liver tissue in rats； TUNEL staining was used to detect liver cell apoptosis in each group of rats. Western blot method was used to detect the protein expressions of transforming growth factor-β1 （TGF-β1） and platelet-derived growth factor （PDGF） in liver tissue of rats. RESULTS Compared with normal control group， the levels of alanine transaminase， alkaline phosphatase， aspartate transaminase， total bilirubin， malondialdehyde， procollagen type Ⅲ protein， Ⅳ-type pre collagenase， laminin， hyaluronic acid， interleukin-6， tumor necrosis factor-α， as well as the protein expressions of TGF-β1 and PDGF in model group were increased significantly， while the levels of superoxide dismutase and glutathione peroxidase were significantly reduced （P＜0.01）； the HE， Masson staining and transmission electron microscopy observation results showed obvious HF characteristics in rats of model group. Compared with model group， varying degrees of improvement in above indexes were observed in P. mume groups， and the above 2021BSZR011） indicators of rats in P. mume medium-dose and high-dose groups were reversed significantly （P＜0.05 or P＜0.01）. CONCLUSIONS P. mume has an anti-HF effect， which may be achieved through mechanisms such as antioxidation， anti-inflammation， reduction of collagen production， inhibition of PDGF protein expression， and regulation of TGF- β1 signaling pathway.

ObjectiveTo investigate the prevalence rate of chronic non-communicable diseases （NCDs） and the association with quality of life in middle-aged and elderly patients with HIV/AIDS. MethodsThis cross-sectional study surveyed 432 patients with HIV/AIDS （aged≥45 years） in the Infectious Disease Center in Guangzhou Eighth People’s Hospital of Guangzhou Medical University， and 366 participants were included in the analysis after quality control. A questionnaire and the EuroQol 5-Dimensional 3-level version （EQ-5D-3L） were used to investigate NCDs and quality of life and Tobit regression model was used to estimate the association between chronic diseases and quality of life. ResultsAmong the 366 participants， 29（7.9%） had cardiovascular disease， 45（12.3%） had hypertension， 122（33.3%） had hyperglycemia， 151（41.3%）had hyperlipidemia，7（1.9%） had cancer， 17 （4.6%） had chronic kidney disease， 38 （10.4%） had chronic liver disease， 21（5.7%） had musculoskeletal disorders， and 253（69.1%） suffered from at least one type of chronic diseases. The median （lower and upper quartiles） of EQ-5D utility index was 1.000（0.964~1.000）. Multivariate Tobit regression results of the total population showed that cancer ［b_a=-0.08，95%CI （-0.15，-0.01），P=0.036］， chronic kidney disease ［b_a=-0.07， 95%CI （-0.12，-0.02），P=0.006］， musculoskeletal disease ［b_a=-0.09， 95%CI （-0.13， -0.05），P<0.001］， and ≥3 types of chronic diseases［b_a=-0.05， 95%CI（-0.08，-0.01），P=0.013］ were negatively correlated with EQ-5D utility index. The stratified analysis results of different CD4+T cell levels showed that hypertension ［b_a=-0.07， 95%CI （-0.12， -0.02）， P=0.007］， chronic kidney disease ［b_a=-0.10，95%CI （-0.18，-0.03）， P=0.006］， musculoskeletal disease ［b_a=-0.15， 95%CI （-0.22，-0.07）， P<0.001］ and ≥3 types of chronic diseases ［b_a=-0.09， 95%CI （-0.09， -0.01）， P<0.001］ were negatively correlated with EQ-5D utility index in the group with CD4≤500 （cells/μL）， whereas cancer［b_a=-0.11， 95%CI （-0.20，-0.01）， P=0.031］ was negatively correlated with EQ-5D utility index in the group with CD4＞500（cells/μL）. ConclusionsThe prevalence rate of chronic non-communicable diseases in middle-aged and elderly patients with HIV/AIDS is relatively high. The classification of NCDs such as cancer or chronic kidney disease or other chronic diseases and the numbers of NCDs categories are negatively correlated with quality of life. However，this association varies among patients with HIV/AIDS of different CD4+T cell levels. It is suggested that we should try to prevent and identify NCDs at an early stage， strengthen linkages and integration of health services for AIDS and chronic NCDs， and jointly manage and control AIDS with chronic diseases to improve the quality of life among people living with HIV/AIDS.

Objective To systematically evaluate the risk prediction model of anastomotic fistula after radical resection of esophageal cancer, and to provide objective basis for selecting a suitable model. Methods A comprehensive search was conducted on Chinese and English databases including CNKI, Wanfang, VIP, CBM, PubMed, EMbase, Web of Science, The Cochrane Library for relevant studies on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer from inception to April 30, 2023. Two researchers independently screened literatures and extracted data information. PROBAST tool was used to assess the risk of bias and applicability of included literatures. Meta-analysis was performed on the predictive value of common predictors in the model with RevMan 5.3 software. Results A total of 18 studies were included, including 11 Chinese literatures and 7 English literatures. The area under the curve (AUC) of the prediction models ranged from 0.68 to 0.954, and the AUC of 10 models was >0.8, indicating that the prediction performance was good, but the risk of bias in the included studies was high, mainly in the field of research design and data analysis. The results of the meta-analysis on common predictors showed that age, history of hypertension, history of diabetes, C-reactive protein, history of preoperative chemotherapy, hypoproteinemia, peripheral vascular disease, pulmonary infection, and calcification of gastric omental vascular branches are effective predictors for the occurrence of anastomotic leakage after radical surgery for esophageal cancer (P<0.05). Conclusion The study on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer is still in the development stage. Future studies can refer to the common predictors summarized by this study, and select appropriate methods to develop and verify the anastomotic fistula prediction model in combination with clinical practice, so as to provide targeted preventive measures for patients with high-risk anastomotic fistula as soon as possible.

Objective: Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression. Methods: Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis. Results: Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers. Conclusion Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.

Objective: Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression. Methods: Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis. Results: Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers. Conclusion Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.

Objective: Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression. Methods: Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis. Results: Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers. Conclusion Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.

Objective: Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression. Methods: Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis. Results: Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers. Conclusion Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.

Objective: Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression. Methods: Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis. Results: Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers. Conclusion Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.