1.Current Situation, Problems and Countermeasures of Experimental Research on Traditional Chinese Medicine Regulating PI3K/Akt Signaling Pathway in Rats with Polycystic Ovary Syndrome
Pengxuan YAN ; Yiqing LIU ; Nanxing XIAN ; Linjing PENG ; Kun LI ; Jingchun ZHANG ; Yukun ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):259-266
Polycystic ovary syndrome(PCOS) and its resulting infertility is one of the common diseases of gynecology and reproductive endocrinology. The phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt) signaling pathway is relatively well-studied in the development of intervention in PCOS, and the experiments on PCOS in rats conducted by traditional Chinese medicine through this signaling pathway is also the main direction of mechanistic research. In this paper, 20 articles published in academic journals in the past 5 years were selected through the corresponding criteria, and the objective situation and existing problems of the selected research projects were analyzed from five aspects, namely, baseline data, modeling and treatment, grouping, evaluative indexes, and pharmacodynamic indexes. It is found that there were different degrees of problems in each research project, such as the observation indicators of modeling, criteria for judging the success of the model, the treatment period, the calculation of dosage of prescription/active ingredients and specific dosage were not clearly defined, which could easily lead the bias of the results or reduce the validity of experimental data. Based on this, the list of PCOS rat experimental research operations was formed, involving five categories of experimental rats, model construction, study implementation, outcome measures and analysis and report with a total of 21 operation lists, with a view to provide a reference for the subsequent PCOS experiments related to scientific research and helping to form high-quality results.
2.Source, Structure, Biological Activity and Application of Natural Arabinogalactan: A Review
Peng ZHAO ; Man ZHANG ; Dan MU ; Wenming BAI ; Rina SU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):353-362
Natural arabinogalactan, an important polysaccharide, has a wide range of sources, a complex structure, various biological activities, and great application potential. Natural arabinogalactan is mainly rich in plants and microorganisms, and its structure varies due to different sources, including types Ⅰ, type Ⅱ, type Ⅱ-related types, and new configurations. Natural arabinogalactan has shown a variety of biological activities, such as anti-tumor, anti-oxidation, anti-coagulation, anti-aging, blood glucose-lowering, intestinal health-maintaining, anti-inflammatory, and immunomodulatory activities. In addition, natural arabinogalactan shows good biocompatibility and low toxicity, serving as a potential material in the biomedical field. Natural arabinogalactan has been designed as a carrier in the drug delivery system to effectively improve drug stability and targeting. Natural arabinogalactan is often added to skin care products to help delay skin aging and enhance skin barrier function because of their moisturizing and antioxidant properties. Additionally, natural arabinogalactan acts as a thickener, stabilizer, and emulsifier to improve the texture and taste while enhancing the nutritional value of food products. The review of latest research reports is helpful to further understand the relationship between the structure, biological activity, and functional application of natural arabinogalactan and provides an important reference for future research and development.
3.Risk factors of malaria infection and risk prediction model research in in labor export in Langfang City
Xuejun ZHANG ; Kun ZHAO ; Jing ZHAO ; ZHUO WANG ; Qiang GUO ; Jie XIAO ; Juanjuan GUO ; Jinhong PENG
Journal of Public Health and Preventive Medicine 2025;36(1):118-122
Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school (OR=1.723,95% CI:1.361-2.173), and residence in rural areas(OR=2.091,95%CI:1.760 -3.100)were risk factors (OR>1), while protective measures(OR=0.826,95% CI : 0.781 - 0.901) and high malaria education scores (OR=0.872,95% CI : 0.621 - 0.899)were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.
4.Gut microbiota and osteoporotic fractures
Wensheng ZHAO ; Xiaolin LI ; Changhua PENG ; Jia DENG ; Hao SHENG ; Hongwei CHEN ; Chaoju ZHANG ; Chuan HE
Chinese Journal of Tissue Engineering Research 2025;29(6):1296-1304
BACKGROUND:Osteoporotic fracture is the most serious complication of osteoporosis.Previous studies have demonstrated that gut microbiota has a regulatory effect on skeletal tissue and that gut microbiota has an important relationship with osteoporotic fracture,but the causal relationship between the two is unclear. OBJECTIVE:To explore the causal relationship between gut microbiota and osteoporotic fractures using Mendelian randomization method. METHODS:The genome-wide association study(GWAS)datasets of gut microbiota and osteoporotic fracture were obtained from the IEU Open GWAS database and the Finnish database R9,respectively.Using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,Mendelian randomization analyses with random-effects inverse variance weighted,MR-Egger regression,weighted median,simple model,and weighted model methods were performed to assess whether there is a causal relationship between gut microbiota and osteoporotic fracture.Sensitivity analyses were performed to test the reliability and robustness of the results.Reverse Mendelian randomization analyses were performed to further validate the causal relationship identified in the forward Mendelian randomization analyses. RESULTS AND CONCLUSION:The results of this Mendelian randomization analysis indicated a causal relationship between gut microbiota and osteoporotic fracture.Elevated abundance of Actinomycetales[odds ratio(OR)=1.562,95%confidence interval(CI):1.027-2.375,P=0.037),Actinomycetaceae(OR=1.561,95%CI:1.027-2.374,P=0.037),Actinomyces(OR=1.544,95%CI:1.130-2.110,P=0.006),Butyricicoccus(OR=1.781,95%CI:1.194-2.657,P=0.005),Coprococcus 2(OR=1.550,95%CI:1.068-2.251,P=0.021),Family ⅩⅢ UCG-001(OR=1.473,95%CI:1.001-2.168,P=0.049),Methanobrevibacter(OR=1.274,95%CI:1.001-1.621,P=0.049),and Roseburia(OR=1.429,95%CI:1.015-2.013,P=0.041)would increase the risk of osteoporotic fractures in patients.Elevated abundance of Bacteroidia(OR=0.660,95%CI:0.455-0.959,P=0.029),Bacteroidales(OR=0.660,95%CI:0.455-0.959,P=0.029),Christensenellacea(OR=0.725,95%CI:0.529-0.995,P=0.047),Ruminococcaceae(OR=0.643,95%CI:0.443-0.933,P=0.020),Enterorhabdus(OR=0.558,95%CI:0.395-0.788,P=0.001),Eubacterium rectale group(OR=0.631,95%CI:0.435-0.916,P=0.016),Lachnospiraceae UCG008(OR=0.738,95%CI:0.546-0.998,P=0.048),and Ruminiclostridium 9(OR=0.492,95%CI:0.324-0.746,P=0.001)would reduce the risk of osteoporotic fractures in patients.We identified 16 gut microbiota associated with osteoporotic fracture by the Mendelian randomization method.That is,using gut microbiota as the exposure factor and osteoporotic fracture as the outcome variable,eight gut microbiota showed positive causal associations with osteoporotic fracture and another eight gut microbiota showed negative causal associations with osteoporotic fracture.The results of this study not only identify new biomarkers for the early prediction of osteoporotic fracture and potential therapeutic targets in clinical practice,but also provide an experimental basis and theoretical basis for the study of improving the occurrence and prognosis of osteoporotic fracture through gut microbiota in bone tissue engineering.
5.Application of bilateral hip magnetic resonance imaging to predict risk of osteonecrosis of femoral head
Jiming JIN ; Yangquan HAO ; Rushun ZHAO ; Yuting ZHANG ; Yonghong JIANG ; Peng XU ; Chao LU
Chinese Journal of Tissue Engineering Research 2025;29(9):1890-1896
BACKGROUND:Magnetic resonance imaging is the gold standard for the diagnosis of osteonecrosis of femoral head,and previous methods of predicting osteonecrosis of femoral head collapse based on magnetic resonance images mostly require the combined assessment of coronal and sagittal images.However,osteonecrosis of femoral head tends to occur bilaterally,most hospitals perform bilateral hip magnetic resonance imaging scans during clinical examinations,but the bilateral hip scans can only view coronal and cross-sectional images,and it is difficult to obtain sagittal images,which affects the assessment of the risk of collapse.Therefore,it is of clinical value to establish a method to assess the risk of early osteonecrosis of femoral head collapse by applying the images that can be obtained after bilateral hip magnetic resonance scanning. OBJECTIVE:To establish a method of applying coronal and cross-sectional images of bilateral hip magnetic resonance imaging to assess the risk of osteonecrosis of femoral head collapse. METHODS:The medical records of 111 patients(181 hips)with early-stage osteonecrosis of femoral head diagnosed at the outpatient clinic of Honghui Hospital Affiliated to Xi'an Jiaotong University from October 2017 to October 2019 were retrospectively analyzed.They were categorized into collapsed and non-collapsed groups according to the femoral head collapse at the final follow-up,with 69 hips in the collapsed group and 112 hips in the non-collapsed group.The angle of necrotic range on the images of median coronal plane,transverse plane or one level above and below it was measured on the magnetic resonance imaging system.The sum of the two angles of necrotic angle on the coronal and transverse planes was used as the combined necrotic angle.The average of the three combined necrotic angles of each hip was taken to get the average combined necrotic angle of each hip.Finally,the correlation between the three combined necrotic angles and the average combined necrotic angle with the collapse of osteonecrosis of femoral head was analyzed,and the specificity and sensitivity of the four combined necrotic angles in predicting collapse were evaluated by using receiver operating characteristic curves. RESULTS AND CONCLUSION:(1)Totally 69 hips(38.1%)had femoral head collapse at the last follow-up and were included in the collapsed group;112 hips(61.9%)did not have progression of collapse and were included in the non-collapsed group.(2)The difference between the collapsed group and the non-collapsed group in terms of Association Research Circulation Osseous(ARCO)stage was significant(P<0.001).The difference in age,body mass index,follow-up time,gender distribution,side of onset,and causative factors was not significant(P>0.05).(3)The results of independent samples t-test suggested that all four combined necrotic angles were significantly correlated with collapse(P<0.000 1);and the differences in combined necrotic angles between the collapsed group and the non-collapsed group of ARCO stage I and the two groups of ARCO stage II were all significant(P<0.000 1).(4)In the analysis of the receiver operating characteristic,the area under the curve of the average combined necrotic angle was greater than that of the combined necrotic angle on the lower level of the median,the middle level,and the upper level of the median.(5)The average combined necrotic angle had a higher accuracy in the prediction of collapse than the lower level of the median,the middle level,and the upper level of the combined necrotic angle.(6)It is concluded that the accuracy of the average combined necrotic angle in predicting the risk of osteonecrosis of femoral head collapse is higher,and the clinical practicability is stronger,so we can consider using this method to predict the risk of osteonecrosis of femoral head collapse.
6.Effective-compounds of Jinshui Huanxian formula ameliorates pulmonary fibrosis by inhibiting lipid droplet catabolism and thus macrophage M2 polarization
Wen-bo SHAO ; Jia-ping ZHENG ; Peng ZHAO ; Qin ZHANG
Acta Pharmaceutica Sinica 2025;60(2):369-378
This study aims to investigate the effects and mechanisms of the effective-compounds of Jinshui Huanxian formula (ECC-JHF) in improving pulmonary fibrosis. Animal experiments were approved by the Ethics Committee of the Animal Experiment Center of Henan University of Chinese Medicine (approval number: IACUC-202306012). The mouse model of pulmonary fibrosis was induced using bleomycin (BLM). Hematoxylin-eosin (H&E) staining was used to detect the histopathological changes of lung tissues. Masson staining was used to assess the degree of fibrosis in lung tissues. Immunofluorescence (IF) and real-time quantitative PCR (qPCR) were performed to measure the expression of collagen type I (
7.Correlation Between Quality of Life and Traditional Chinese Medicine Syndromes in Patients with Myasthenia Gravis
Yibin ZHANG ; Qi LU ; Baitong WANG ; Yixun QI ; Hanying XU ; Peng XU ; Meijin SONG ; Peixi ZHAO ; Zhiguo LYU ; Jian WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):275-281
ObjectiveThis study aimed to explore the correlation between the quality of life (QOL) and different traditional Chinese medicine (TCM) syndromes in patients with myasthenia gravis (MG), identifying potential influencing factors to provide new insights for clinical interventions and improving the QOL of patients with MG. MethodsA questionnaire survey was conducted on 93 adults with MG who visited the Department of Neurology at the Affiliated Hospital of Changchun University of Chinese Medicine from March 2023 to January 2024. Statistical analysis was performed on the clinical data collected using SPSS 24.0 software. ResultsAmong the 93 patients with MG, the average score for myasthenia gravis quality of life-15 (MGQOL-15) was 17.65±6.27, and that for the 36-item short form health survey (SF-36) was (106.13±11.83) scores. The QOL was rated as good for 16 patients and moderate for 77 patients. There were no statistically significant differences in the scores of MGQOL-15, SF-36, and their individual scales by gender or education level. Age showed statistically significant differences in MGQOL-15 and the role physical (RP) scale (P<0.05), and occupational type showed significant differences in the vitality (VT) scale (P<0.01). The Myasthenia Gravis Foundation of America (MGFA) classification had statistical significance on the total SF-36 score (P<0.01), VT scale (P<0.01), role emotional (RE) scale (P<0.05), social functioning (SF) scale (P<0.05), and physical functioning (PF) scale (P<0.01). Among patients with different TCM syndromes, there were significant differences in MGQOL-15 scores (F=4.919, P<0.01). Moreover, significant differences were observed in SF-36 scores (P<0.01), VT scale (P<0.01), RE scale (P<0.05), mental health (MH) scale (P<0.01), and SF scale (P<0.05). ConclusionFactors affecting the QOL of patients with MG include age, occupational type, and clinical classification of MG. Specifically, a greater impact on the QOL of older patients is observed, while physical laborers have a poorer QOL compared to non-physical laborers. Patients classified as MGFA type Ⅱ and higher have a poorer QOL. Additionally, there is a potential correlation between the QOL and TCM syndromes, with patients presenting with spleen and kidney Qi deficiency having a lower QOL than those with spleen and stomach Qi deficiency or Qi and Yin deficiency, which is particularly evident in the VT, RE, MH, and SF scales.
8.Association between ambient ozone exposure during pregnancy and risk of preterm birth in Guangdong Province
Peng HU ; Shanshan RAN ; Qingmei LIN ; Yin YANG ; Zilong ZHANG ; Xiaoling GUO ; Yonggui GAO ; Jinde ZHAO ; Hualiang LIN
Journal of Environmental and Occupational Medicine 2025;42(4):379-384
Background Air pollution exposure has a significant impact on maternal and child health. However, the research on the association between ambient ozone (O3) exposure during pregnancy and the risk of premature birth in newborns is limited, and the conclusions are inconsistent. Objective To investigate the association of ambient O3 exposure during pregnancy with the risk of preterm birth in Guangdong Province. Methods Data of pregnant women in Guangzhou from 2013 to 2019 and Foshan from 2018 to 2023 were collected, and O3 concentrations during different trimesters were assessed according to maternal residential addresses. Bilinear interpolation was used to evaluate the concentrations of air pollution. A cohort study design was adopted in our study. Restricted cubic spline curves were used to evaluate the exposure-response relationship between O3 exposure and preterm birth risk and explore potential exposure threshold of O3. Logistic regression models were used to evaluate the association of O3 exposure with preterm birth. Results A total of 702 924 pregnant women were included in this study, of whom 43 051 (6.12%) were preterm. The average O3 exposure concentrations of pregnant women during the first, second, third, and whole trimesters were 95.51, 97.51, 100.60, and 97.87 μg·m−3, respectively. We observed J-shaped associations between O3 exposure and preterm birth risk during the second, third, and whole trimesters of pregnancy using restricted cubic spline curves. This study found that there were threshold concentrations between O3 exposure and preterm birth risk during different gestational periods, and the threshold concentrations in the first, second, third, and whole trimesters were 112.32, 99.83, 111.74, and 112.46 μg·m−3, respectively. During the second, third, and whole trimesters of pregnancy, after adjusting for maternal age, baby sex, pre-pregnancy body mass index, mode of delivery, baby birth weight, gestational diabetes, and gestational hypertension, the odds ratios (OR) of preterm birth were 1.02 (95%CI: 1.01, 1.04), 1.02 (95%CI: 1.00, 1.03), and 1.17 (95%CI: 1.13, 1.21) for each 10 μg·m−3 increase in O3 concentration above the O3 threshold. No significant association was found between O3 exposure and the risk of preterm birth during the first trimester. Conclusion There is a nonlinear association between the risk of preterm birth and O3 exposure during pregnancy, and higher concentrations of O3 exposure during pregnancy are associated with the risk of preterm birth. Above the O3 threshold concentration during pregnancy, especially during the second, third, and whole trimesters, the risk of preterm birth elevates with the increase of O3 exposure concentrations.
9.Analysis of the nutritional status and influencing factors of Tibetan and Mongolian children and adolescents in Golmud City, Qinghai Province in 2022
Chinese Journal of School Health 2025;46(5):651-656
Objective:
To investigate the nutritional status and influencing factors among Tibetan and Mongolian children and adolescents aged 7-18 years in high-altitude regions, so as to provide evidence for early prevention and control of malnutrition in this population.
Methods:
From May to June 2022, a cluster sampling method was employed to recruit 1 019 Tibetan and Mongolian children and adolescents aged 7-18 years from two primary and secondary schools in Golmud City. Physical examinations, dietary frequency questionnaires, and physical activity assessments were conducted. Nutritional status was classified as obesity, combined overweight/obesity, underweight, or central obesity according to national standards including Screening for Overweight and Obesity among School-age Children and Adolescents, Screening Standard for Malnutrition of School-age Children and Adolescents, Blue Book on Obesity Prevention and Control in China. Chi-square tests, t-test and Logistic regression analyses were performed to identify factors associated with different nutritional statuses.
Results:
The detection rates of obesity, combined overweight/obesity, underweight, and central obesity were 8.0%, 18.1%, 5.2%, and 19.7%, respectively. The height of children and adolescents across all age groups was generally lower than the national standard values. Tibetan participants exhibited significantly lower height-for-age Z-scores (HAZ)(9-10, 13-17 years, Z =2.01, 2.78, 4.16, 3.38, 4.12, 3.63, 3.00) and BMI-for-age Z-scores (BAZ) compared to Mongolian participants ( Z =-2.95, -2.47, -2.31, -2.89, -2.14, -2.17)( P < 0.05 ). Multivariate Logistic regression revealed that Mongolian children and adolescents had higher risks of obesity ( OR =2.20) and combined overweight/obesity ( OR = 2.18 ) ( P <0.05). Additionally, insufficient moderate-to-vigorous physical activity (MVPA) was associated with an increased risk of central obesity ( OR =1.48, P <0.05), compared with children and adolescents who meet the standard of MVPA.
Conclusions
The rates of overweight and obesity among Tibetan and Mongolian children and adolescents in Golmud City are higher, influenced by multiple factors. Nutrition interventions and physical activity strategies tailored to ethnic characteristics should be implemented, with emphasis on promoting MVPA to improve nutritional outcomes in this population.
10.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.


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