1.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
2.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
3.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
4.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
5.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
6.Recommendations for Standardized Reporting of Systematic Reviews and Meta-Analysis of Animal Experiments
Qingyong ZHENG ; Donghua YANG ; Zhichao MA ; Ziyu ZHOU ; Yang LU ; Jingyu WANG ; Lina XING ; Yingying KANG ; Li DU ; Chunxiang ZHAO ; Baoshan DI ; Jinhui TIAN
Laboratory Animal and Comparative Medicine 2025;45(4):496-507
Animal experiments are an essential component of life sciences and medical research. However, the external validity and reliability of individual animal studies are frequently challenged by inherent limitations such as small sample sizes, high design heterogeneity, and poor reproducibility, which impede the effective translation of research findings into clinical practice. Systematic reviews and meta-analysis represent a key methodology for integrating existing evidence and enhancing the robustness of conclusions. Currently, however, the application of systematic reviews and meta-analysis in the field of animal experiments lacks standardized guidelines for their conduct and reporting, resulting in inconsistent quality and, to some extent, diminishing their evidence value. To address this issue, this paper aims to systematically delineate the reporting process for systematic reviews and meta-analysis of animal experiments and to propose a set of standardized recommendations that are both scientific and practical. The article's scope encompasses the entire process, from the preliminary preparatory phase [including formulating the population, intervention, comparison and outcome (PICO) question, assessing feasibility, and protocol pre-registration] to the key writing points for each section of the main report. In the core methods section, the paper elaborates on how to implement literature searches, establish eligibility criteria, perform data extraction, and assess the risk of bias, based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement, in conjunction with relevant guidelines and tools such as Animal Research: Reporting of in Vivo Experiments (ARRIVE) and a risk of bias assessment tool developed by the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE). For the presentation of results, strategies are proposed for clear and transparent display using flow diagrams and tables of characteristics. The discussion section places particular emphasis on how to scientifically interpret pooled effects, thoroughly analyze sources of heterogeneity, evaluate the impact of publication bias, and cautiously discuss the validity and limitations of extrapolating findings from animal studies to clinical settings. Furthermore, this paper recommends adopting the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to comprehensively grade the quality of evidence. Through a modular analysis of the entire reporting process, this paper aims to provide researchers in the field with a clear and practical guide, thereby promoting the standardized development of systematic reviews and meta-analysis of animal experiments and enhancing their application value in scientific decision-making and translational medicine.
7.Investigation of Bartonella carried by rodents and plateau pikas in different regions of Qinghai, 2023
LIU Qiansheng ; QI Xiaodong ; WANG Chunxiang
China Tropical Medicine 2025;25(3):364-
Objective To investigate the distribution and carriage of Bartonella in rodents and plateau pikas (Ochotona curzoniae) in Xining City, Hai Prefecture, and Menyuan County in Qinghai Province, providing basic data for the prevention and control of Bartonella infections and scientific evidence for the control natural zoonotic diseases in the local area. Methods In 2023, rodents were captured using rodent traps across Xining City, Hai Prefecture, and Menyuan County in Qinghai Province. Bartonella DNA was extracted and amplified from collected liver, spleen, and kidney tissue samples of plateau pikas. Statistical analysis was performed using SPSS 28.0 software, with the chi-square test and Fisher's exact probability method employed to analyze Bartonella positivity rates across different rodent species and ecological environments. Sequence analysis was also conducted on the Bartonella-positive strains from Menyuan County. Results A total of 489 rodents and plateau pikas were captured across the three regions: 206 in Xining City, 200 in Haixi Prefecture, and 83 in Menyuan County. The Bartonella positivity rates were 40.29% (83/206), 2.00% (4/200), and 12.05% (10/83) respectively. A statistically significant difference in Bartonella positivity was observed between Menyuan County and Haixi Prefecture (χ2=10.55, P<0.01). In Menyuan County, 74 Mus musculus linnaeus were captured, 9 Ochotona were captured, 10 Mus musculus linnaeus were Bartonella positive, Ochotona was not detected, the difference was statistically significant by Fisher's exact probability test (P<0.05). There were 14 and 69 rodents captured on grassland and stone land, respectively. 10 rodents captured on stone land were positive for Bartonella, but no rodents were detected on grassland, and the difference was statistically significant by Fisher's exact probability test (P<0.05). Genomic sequence analysis showed that the 10 Bartonella strains from Menyuan County clustered into three genotypes:Bartonella sp.AR 15-3, Bartonella grahamii as4aup, and Bartonella grahamii subsp. shimonis.Conclusion Natural Bartonella infections exist in rodents and plateau pikas across Xining City, Haixi Prefecture, and Menyuan County in Qinghai Province. Furthermore, gene types related to human pathogenicity pose a risk of human infection. Therefore, the monitoring of rodent-borne pathogens in these areas should be strengthened.
8.Spatial metabolomics combined with machine learning in colon cancer diagnosis research.
Ling WENG ; Huanhuan WANG ; Chunxiang ZHAI ; Qi WANG ; Yanyan GUO ; Ziyi ZHONG ; Chenying MA ; Jing WANG
Journal of Pharmaceutical Analysis 2025;15(8):101367-101367
Image 1.
9.Surveillance analysis of CD4+T lymphocyte levels among HIV/AIDS population before and after antiviral treatment in Xining City, Qinghai Province
Qing JIA ; Ru MA ; Shicun DONG ; Yuxin MA ; Sufang YANG ; Fuchang MA ; Chunxiang WANG
Shanghai Journal of Preventive Medicine 2024;36(9):862-867
ObjectiveTo analyze the changes in CD4+T lymphocyte (CD4 cells) levels and influencing factors in patients with human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) before and after highly active anti-retroviral therapy (HAART) in Xining City, Qinghai Province, so as to provide a scientific basis for formulating corresponding follow-up intervention strategies. MethodsFrom February to July, 2023, 468 HIV/AIDS patients who received HAART in Xining, Qinghai Province were selected using a convenient sampling method for a questionnaire survey. Venous blood was collected and CD4 cell levels were detected by flow cytometry. SPSS 22.0 was used for t-test, analysis of variance and χ2⁃test, and multiple linear regression analysis was used to explore the level of CD4 cells and its main influencing factors in HIV/AIDS population after HAART. ResultsUnivariate analysis showed significant differences in baseline CD4 cell levels among people of different ages, nationalities, residential types and annual income (P<0.05). There were statistically significant differences in the most recent CD4 cell levels among people of different nationalities, different marital statuses, with or without regular physical exercise, with or without hypertension, different baseline CD4 cell count, different years since HIV diagnosis, different years of HAART treatment, and different treatment programs (P<0.05). Multiple linear regression analysis showed that the baseline CD4 cell count was 350‒499 (t=7.40) and ≥500 (t=6.69), the number of years of HAART treatment was 5‒9 (t=3.59) and ≥10 (t=4.54), the number of years of HIV diagnosis was ≥10 (t=-2.58), the number of people receiving second-line treatment (t=-2.49) and the latest CD4 cell levels after HAART were statistically correlated (P<0.05). ConclusionThe CD4 cell levels of HIV/AIDS population in Xining city of Qinghai Province are affected by many factors. Comprehensive health intervention should be carried out for this population, the implementation of early detection and treatment strategy should be strengthened, relevant physiological and biochemical indicators should be monitored regularly, and health education should be carried out, so as to encourage this population group to choose a healthy lifestyle, improving their quality of life from multiple dimensions.
10.Lumbar spine marrow MR T1 mapping radiomics for predicting clinical risk of acute lymphoblastic leukemia in children
Liying WANG ; Xinzi LI ; Ying LI ; Meimin ZHENG ; Sen CHEN ; Zhaoxiang YE ; Chunxiang WANG
Chinese Journal of Medical Imaging Technology 2024;40(9):1284-1288
Objective To observe the value of lumbar spine bone marrow MR T1 mapping radiomics for predicting clinical risk of acute lymphoblastic leukemia(ALL)in children.Methods Lumbar bone marrow T1 mappings were prospectively acquired from 77 newly diagnosed ALL children.The volume of interest(VOI)of L3 vertebral body was segmented using 3D Slicer software and 2 060 radiomics features were extracted,and the best features were screened.The children were divided into training and testing sets at the ratio of 8:2.Logistic regression(LR),support vector machine(SVM)and random forest(RF)were used to established radiomics models based on the best features,respectively,which were trained in training set and verified in testing set.The clinical risk was evaluated according to newly diagnosed risk and the response to chemotherapy after MR examination.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting clinical risk of ALL in children.Results There were 52 cases in low-medium risk group and 25 in high risk group.The training set consisted of 44 cases of low-medium risk and 17 of high risk,while the testing set consisted of 8 cases of low-medium risk and 8 of high risk.Twelve best features were selected to establish radiomics models.The sensitivity and accuracy of RF model in training set were both 100%,but its sensitivity(50.00%)and accuracy(75.00%)in testing set were both low,which indicating overfitting.The AUC(0.95)of LR model was slightly higher than that of SVM model(0.92)in testing set,but no significantly difference was found(P>0.05),and the accuracy of these two models was consistent.Conclusion Both lumbar bone marrow T1 mapping LR and SVM radiomics models could be used to predict clinical risk of ALL in children,and LR model had better predictive efficacy.

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