1.Qualitative and Quantitative Analysis of Chemical Constituents in Gualou Niubangtang by UPLC-Q-TOF-MS/MS and HPLC
Yiyi ZHANG ; Jing YANG ; Yuqing CHENG ; Huimin GAO ; Jin QIN ; Li YAO ; Xiyang DU ; Raorao LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):179-187
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.
2.Correlation Between Gut Microbiota Characteristics and Immunotherapy Efficacy in Patients with Advanced Microsatellite Stable Gastrointestinal Tumors
Yanfei LIU ; Ting GE ; Xi XIE ; Yujie ZHOU ; Min CHENG ; Yan ZHANG ; Guang FU ; Hongyan JIN
Cancer Research on Prevention and Treatment 2026;53(8):600-608
Objective To investigate the correlation between gut microbiota characteristics and immunotherapy efficacy in patients with advanced microsatellite stable (MSS) advanced gastrointestinal tumors. Methods Thirty patients with advanced MSS gastrointestinal tumors, including fourteen cases of gastric cancer and sixteen cases of colorectal cancer, who were admitted from November 1, 2022, to July 31, 2025 were enrolled. All patients underwent gut microbiota testing and received corresponding interventions on the basis of the results, followed by treatment with antiangiogenic agents combined with immunotherapy. Some patients additionally received probiotics or fecal microbiota transplantation. The primary endpoints were disease control rate (DCR) and objective response rate (ORR). The secondary endpoints were progression-free survival (PFS) and overall survival (OS). Univariate and multivariate Cox regression analyses were used to assess potential prognostic factors. Results Among the thirty patients, no complete response was observed. Two cases of partial response (PR), twelve cases of stable disease, and sixteen cases of progressive disease were recorded. The ORR was 6.7%, and the DCR was 46.7%. The median PFS was 6.4 months, and the median OS was 8.3 months. Both PR patients were classified as having a medium risk of gut microbiota dysbiosis and exhibited a Bacteroides-dominated enterotype. Multivariate analysis indicated that tumor type, liver metastasis, and bone metastasis were potential prognostic factors for PFS and OS. Conclusion Patients with a medium risk of gut dysbiosis may exhibit a relatively favorable response to immunotherapy, suggesting that gut microbiota status could serve as a potential biomarker for predicting treatment efficacy in advanced MSS gastrointestinal tumors.
3.Effect of Wulao Qisun Prescription on Proliferation and Osteogenic Differentiation of AS Fibroblasts by Regulating Wnt/β-catenin Signaling Pathway
Juanjuan YANG ; Ping CHEN ; Haidong WANG ; Zhendong WANG ; Haolin LI ; Zhimin ZHANG ; Yuping YANG ; Weigang CHENG ; Jin SU ; Jingjing SONG ; Dongsheng LU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):67-73
ObjectiveTo investigate the effect and underlying mechanism of the Wulao Qisun prescription on pathological new bone formation in ankylosing spondylitis (AS). MethodsSynovial fibroblasts were isolated from the hip joints of AS patients and observed under a microscope to assess cell morphology. The cells were identified using immunofluorescence staining. The isolated AS fibroblasts were divided into blank group, low drug-containing serum group, medium drug-containing serum group, high drug-containing serum group, and positive drug group. After drug intervention, cell proliferation was measured using the cell counting kit-8 (CCK-8) assay to observe fibroblast growth and determine the optimal intervention time. Alkaline phosphatase (ALP) activity was measured using the alkaline phosphatase assay. Protein expression of osteocalcin (OCN), osteopontin (OPN), and runt-related transcription factor 2 (Runx2) was detected by Western blot. The mRNA expression levels of Wnt5a, β-catenin, and Dickkopf-1 (DKK-1) were measured by real-time quantitative polymerase chain reaction (Real-time PCR). ResultsCompared with the blank group, each drug-containing serum group of Wulao Qisun prescription and the positive drug group inhibited the proliferation of AS fibroblasts and reduced ALP expression (P<0.01). Compared with the blank group, the low drug-containing serum group of Wulao Qisun prescription downregulated β-catenin mRNA expression (P<0.05). The medium and high drug-containing serum groups and the positive drug group significantly downregulated Wnt5a and β-catenin mRNA expression (P<0.05, P<0.01), with the positive drug group showing the most pronounced effect (P<0.01). The high drug-containing serum group and the positive drug group significantly upregulated DKK-1 mRNA expression (P<0.01). Compared with the blank group, the low drug-containing serum group of Wulao Qisun prescription inhibited the expression of OPN and Runx2 proteins (P<0.05, P<0.01), while the medium and high drug-containing serum groups and the positive drug group inhibited the expression of OCN, OPN, and Runx2 proteins (P<0.05, P<0.01). ConclusionThe Wulao Qisun prescription can inhibit the proliferation and osteogenic differentiation of AS fibroblasts, thereby delaying the formation of pathological new bone in AS. The possible mechanism involves the regulation of Wnt/β-catenin-related gene expression, further inhibiting the transcription of downstream target genes.
4.OpenSim-based prediction of lower-limb biomechanical behavior in adolescents with plantarflexor weakness
Enhong FU ; Hang YANG ; Cheng LIANG ; Xiaogang ZHANG ; Yali ZHANG ; Zhongmin JIN
Chinese Journal of Tissue Engineering Research 2025;29(9):1789-1795
BACKGROUND:The plantarflexor weakness is a common muscle defect in patients with spastic cerebral palsy and Charcot-Marie-Tooth,which clinically manifests abnormal gaits,and the relationship between plantarflexor weakness and abnormal gaits is unclear. OBJECTIVE:To explore the biomechanical behavior of the lower limb under the action of a single factor of plantarflexor weakness to reveal the mechanism of abnormal gait induced by plantarflexor weakness and to provide guidance for the rehabilitation training of patients with plantarflexor weakness. METHODS:A predictive framework of musculoskeletal multibody dynamics in the sagittal plane was established based on OpenSim Moco to predict lower limb joint angles and muscle activation changes during walking in normal subjects.The validity of the framework was verified by combining the inverse kinematics and electromyogram activation time of the experimental data.Reduced isometric muscle forces were used to model plantarflexor weakness and to compare predicted lower extremity joint angles,joint moments,and muscle energy expenditure with normal subjects to analyze the effects of plantarflexor weakness on lower extremity biomechanics. RESULTS AND CONCLUSION:(1)The Moco-based prediction framework realistically predicted the biomechanical changes of the lower limbs during walking in normal subjects(joint angles:normalized correlation coefficient≥0.73,root mean square error≤7.10°).(2)The musculoskeletal model used a small stride support phase to increase the"heel-walking"gait during plantarflexor weakness.When the plantarflexor weakness reached 80%,the muscle energy expenditure was 5.691 4 J/kg/m,and the maximum activation levels of the gastrocnemius and soleus muscles were 0.72 and 0.53,which might cause the plantarflexor weakness patients to be more prone to fatigue when walking.(3)Muscle energy expenditure was significantly higher when the weakness of plantarflexors exceeded 40%,and the joint angles and moments of the lower limbs deteriorated significantly when the weakness of plantarflexors exceeded 60%,suggesting that there may be a"threshold"for the effect of plantarflexor weakness on gait,which may correspond to the point at which health care professionals should intervene in the clinical setting.
5.Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study
Yu Meng TIAN ; Wei Sen ZHANG ; Chao Qiang JIANG ; Feng ZHU ; Ya Li JIN ; Shiu Lun Au YEUNG ; Jiao WANG ; Kar Keung CHENG ; Tai Hing LAM ; Lin XU
Diabetes & Metabolism Journal 2025;49(1):60-79
Background:
The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies.
Methods:
MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function.
Results:
Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores.
Conclusion
Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.
6.Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study
Yu Meng TIAN ; Wei Sen ZHANG ; Chao Qiang JIANG ; Feng ZHU ; Ya Li JIN ; Shiu Lun Au YEUNG ; Jiao WANG ; Kar Keung CHENG ; Tai Hing LAM ; Lin XU
Diabetes & Metabolism Journal 2025;49(1):60-79
Background:
The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies.
Methods:
MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function.
Results:
Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores.
Conclusion
Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.
7.Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study
Yu Meng TIAN ; Wei Sen ZHANG ; Chao Qiang JIANG ; Feng ZHU ; Ya Li JIN ; Shiu Lun Au YEUNG ; Jiao WANG ; Kar Keung CHENG ; Tai Hing LAM ; Lin XU
Diabetes & Metabolism Journal 2025;49(1):60-79
Background:
The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies.
Methods:
MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function.
Results:
Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores.
Conclusion
Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.
8.Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study
Yu Meng TIAN ; Wei Sen ZHANG ; Chao Qiang JIANG ; Feng ZHU ; Ya Li JIN ; Shiu Lun Au YEUNG ; Jiao WANG ; Kar Keung CHENG ; Tai Hing LAM ; Lin XU
Diabetes & Metabolism Journal 2025;49(1):60-79
Background:
The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies.
Methods:
MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function.
Results:
Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores.
Conclusion
Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.
9.Isolation,identification and antimicrobial susceptibility of a strain of Haemophi-lus parasuis
Xi LIU ; Geng WANG ; Zhengdan LIN ; Xiuxiu SUN ; Xinxin JIN ; Li LI ; Junjie YANG ; Xue-ying HU ; Changqin GU ; Wanpo ZHANG ; Xiaoli LIU ; Teng YU ; Guofu CHENG
Chinese Journal of Veterinary Science 2025;45(2):219-226
Porcine arthritis,one of the common chronic diseases in large-scale pig farms,can signifi-cantly reduce the production performance of meat pigs.In this study,a strain of Haemophilus pa-rasuis(HPS)was isolated from the joint fluid of a lame pig.The HPS was analyzed in terms of se-rotypes,virulence genes,and resistance genes.Additionally,it was treated with sensitive antibiotics to provide a theoretical basis for the comprehensive prevention and treatment of arthritis in meat pigs in future production settings.A strain of HPS type 14 was isolated from the joint fluid of dis-eased pigs.The HPS isolate demonstrated sensitivity to β-lactams and tetracyclines,while florfeni-col and polymyxin effectively inhibited its growth at low concentrations.However,the bacteria ex-hibited resistance to sulfonamides and ciprofloxacin.The treatment of affected pigs with clinical ar-thritis using doxycycline and enrofloxacin injections proved effective.Compared to the infected group,in which the sick pigs experienced difficulty flexing their carpal and tarsal joints and exhibi-ted significant lameness,the pigs in the treatment group showed marked improvement.Their joints were only slightly swollen,and the clinical symptoms of arthropathy were alleviated.
10.Integrative analysis reveals enhancer-based prognostic risk prediction model for non-small cell lung cancer
Weiguo ZHANG ; Xiuhong LU ; Gang HUANG ; Mingming JIN ; Yunzhang CHENG
Chinese Journal of Medical Physics 2025;42(1):112-121
Objective To construct an enhancer-based prognostic risk prediction model for non-small cell lung cancer (NSCLC) by integrating DNA methylome data and transcriptome data. Methods The weighted gene co-expression network analysis (WGCNA) was used to identify NSCLC related genes from the differentially methylated positions (DMPs) of enhancers. Based on the transcriptome data,the prognostic risk prediction model was constructed using LASSO-Cox regression algorithm. Results Through the analysis on DNA methylome data of NSCLC,19784 DMPs were obtained and their distribution patterns were characterized,including 6089 DMPs of enhancers. WGCNA analysis screened 79 highly correlated DMPs of enhancer with NSCLC from the 6089 DMPs. After analyzing the target genes of 79 DMPs with LASSO-Cox regression based on the transcriptome data,10 genes were used to construct a prognostic risk prediction model. The prognostic risk prediction model was evaluated by calculating the areas under the curve (AUC) of 3-,5-,and 10-year time-dependent receiver operating characteristic (ROC) curves in training set and validation set;and the results showed that the 3-,5-,and 10-year AUC in training set and validation set were all higher than 0.7. Finally,a nomogram was constructed to predict the 3-,5-,and 10-year survival probabilities of NSCLC. Conclusion This study provides new insights into the role of enhancers in NSCLC and has the potential to improve the prognosis by guiding personalized treatment decisions.

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