1.Danggui Shaoyaosan Alleviates Cognitive Impairment by Regulating Ketone Body Metabolism and Glutamate/AMPAR Pathway
Shasha WANG ; Xin WANG ; Kexin GONG ; Yi QIU ; Yanzi YU ; Jiaqun SUN ; Wenxuan CHEN ; Huifei WU ; Weirong LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(18):44-52
ObjectiveTo investigate whether the effect of Danggui Shaoyaosan (DSS) on cognitive impairment is related to its promotion of ketone body metabolism in the brain and regulation of glutamate/α-amino-3-hydroxy-5-methyl-4-isox-azolepropionic acid receptor (AMPAR) pathway. MethodsMale APP/PS1 mice were randomized into model, low-dose (3.2 g
2.Association between cannabis use and risk of gynecomastia: commentary on "Gynecomastia in adolescent males: current understanding of its etiology, pathophysiology, diagnosis, and treatment"
Jia-Lin WU ; Jun-Yang LUO ; Xin-Yi DENG ; Zai-Bo JIANG
Annals of Pediatric Endocrinology & Metabolism 2025;30(1):52-53
3.Research of DIP grouping of malignant tumor chemotherapy patients based on a decision tree model
Yun WU ; Zhen REN ; Yi ZHU ; Fudi SU ; Yiqi XIN
Chinese Journal of Hospital Administration 2025;41(3):223-228
Objective:To explore the grouping and standard cost of malignant tumors chemotherapy patients under the diagnosis-intervention packet (DIP) system based on the decision tree model, for references for optimizing the detailed grouping scheme of this disease.Methods:The data of the first page of medical records of malignant tumors chemotherapy patients in a tertiary hospital in 2022 were collected. Univariate analysis and multiple linear regression were used to analyze the influencing factors of patients′ hospitalization expenses. The Chi squared automatic interaction detection was used to construct the decision tree model to obtain the case grouping scheme and its standard expenses. The coefficient of variation and chi-square test were used to evaluate the grouping effect.Results:A total of 27 235 patients were included in this study. The number of surgical operations, length of hospital stay, gender, the number of other diagnoses, chemotherapy pathways and targeted therapy were taken as classification nodes and included in the decision tree model. A total of 13 groups were formed. The homogeneity within the groups was good(CV<0.70), and the heterogeneity between the groups was strong( χ2= 9 564.65, P<0.001). Conclusions:Based on the decision tree model, the grouping scheme for chemotherapy cases of malignant tumors was established by comprehensively considering factors such as surgical operations within the group, length of hospital stay, other diagnostic and chemotherapy pathways is relatively reasonable, which could provide references for relevant management departments to optimize the detailed grouping scheme of this disease and formulate relevant payment standards.
4.Interpretation of the group standard of " Humanistic Caring Management Standards for Patients in the Operating Room"
Ruiying YU ; Xinyue MIAO ; Qingmin ZHANG ; Yilan LIU ; Shujie GUO ; Huiling LI ; Guo CHEN ; Chunlan ZHOU ; Ting LIU ; Shuhua DENG ; Hongzhen XIE ; Yu CHENG ; Yinglan LI ; Yanlan MA ; Xia XIN ; Yanjin LIU ; Yongyi CHEN ; Gendi LU ; Xiaoqin GAN ; Feng XU ; Zuwei XIA ; Li HE ; Qinqin CHEN ; Fukang ZHANG ; Songmei WU ; Yi LI ; Wenjuan ZHOU
Chinese Journal of Hospital Administration 2025;41(7):512-517
Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.
5.HIV-1 pretreatment drug resistance and molecular transmission network characteristics in Yubei District,Chongqing
Difei LI ; Ying XU ; Mao YE ; Xin HUANG ; Xuemei MA ; Yi JIN ; Songsong SUN ; Jinping XIONG ; Hui LIU ; Guohui WU
Chongqing Medicine 2025;54(3):719-724,730
Objective To analyze the characteristics of HIV-1 pretreatment drug resistance(PDR)and molecular transmission networks in Yubei District,Chongqing,providing evidence for targeted interventions.Methods Using a cross-sectional design,plasma samples were collected from HIV/AIDS patients receiving antiretroviral therapy(ART)in Yubei District from January 2022 to December 2023.Pol gene fragments were extracted and amplified for HIV-1 genotyping and drug resistance analysis.Molecular transmission networks were constructed based on genetic distance calculations.Results Among 478 HIV-1 pol sequences,eight geno-types were identified:with CRF07_BC(60.4%,289/478),CRF08_BC(15.5%,74/478),CRF01_AE(11.7%,56/478),and CRF85_BC(5.9%,28/478).The overall PDR rate was 6.3%(30/478),with resistance to nucleoside reverse transcriptase inhibitors(NRTIs)and non-nucleoside reverse transcriptase inhibitors(NNRTIs)at 1.7%(8/478)and 5.2%(25/478),respectively.No protease inhibitor(PI)resistance was de-tected.The molecular network included 177 cases(37.0%network entry rate),forming 53 clusters with 198 connections.Cluster sizes ranged from 2 to 17 nodes,and 75.3%(149/198)of connections were associated with five subdistricts/towns:Shuanglonghu Street,Huixing Street,Luoqi Town,Gulu Town,and Baoshenghu Street.Conclusion HIV-1 genotypes in Yubei District exhibit diversity and complexity,with moderate PDR prevalence.Regional clustering of transmission networks suggests the need for enhanced molecular surveil-lance and targeted interventions based on analytical findings.
6.Development of A Low Field Ion Extraction System for Time-of-Flight Secondary Ion Mass Spectrometry
De-Ze WANG ; Chen-Xin WU ; Yi CHEN ; Fu-Xin DU ; Lei HUA ; Hai-Yang LI ; Jian-Hua WANG ; Ping CHEN
Chinese Journal of Analytical Chemistry 2025;53(7):1072-1081
Time-of-flight secondary ion mass spectrometer(TOF-SIMS)is a highly sensitive surface analysis instrument with high spatial resolution.Traditional TOF-SIMS instruments for sample targets use high field extraction methods.Although the ion collection efficiency is high,it is prone to issues such as low-energy ion beam defocusing,sample morphology sensitivity,and organic molecule ion dissociation.This study aimed to develope an efficient low-field ion extraction system suitable for TOF-SIMS with a continuous beam source.The SIMION simulation software was used to construct a model of the secondary ion optical extraction system.The key factors affecting the extraction efficiency were studied,and the structural parameters of the extraction cone were optimized.Using an indium target as the sample,an experimental test of the performance of the ion extraction system was carried out on the TOF-SIMS instrument.The influences of the voltages of the ion extraction cone and the single lens on the ion extraction efficiency were consistent with the simulation results.By adopting the technology of deflection and coaxial dynamic compensation,the imaging field of view of the ion extraction system was increased to 500 μm×500 μm.The energy window of the ion extraction system reached 10 eV,and the large imaging depth of field of 400 μm was achieved.In the test of a 5 mg/L cholesterol thin film sample,the signal-to-noise ratio of the characteristic peak[M-OH]+reached 4453.The results showed that this low-field secondary ion extraction system effectively improved the performance of the continuous beam TOF-SIMS instrument.
7.Recommendation for Forensic Identification Guidelines on Insulin Overdoes
Yu-Hao YUAN ; Zhong-Hao YU ; Jia-Xin ZHANG ; Long-Da MA ; Shu-Quan ZHAO ; Ning-Guo LIU ; Rong-Qi WU ; Biao ZHANG ; Xin-Biao LIAO ; Xin CHEN ; Guang-Long HE ; Yi-Wu ZHOU
Journal of Forensic Medicine 2025;41(2):168-175
Insulin is an important protein hormone that participates in multiple metabolic pathways.Biosynthetic insulin has been widely used in the treatment of type 1 and type 2 diabetes.Currently,the number of reported cases of insulin overdose both at home and abroad is gradually increasing,and insulin homicide is no longer a means of"committing murder without leaving a trace".At present,there are no systematic protocols for the identification of insulin overdose in the field of forensic medi-cine in China.This article introduces the causes,toxicological characteristics,forensic examination,labo-ratory testing methods and indicator reference of insulin overdose.Based on the identification practice and research results and referring to relevant studies on insulin overdose at home and abroad,this pa-per aims to provide recommendations and references for the formulation of forensic identification guide-lines for insulin overdose cases.
8.Association between cannabis use and risk of gynecomastia: commentary on "Gynecomastia in adolescent males: current understanding of its etiology, pathophysiology, diagnosis, and treatment"
Jia-Lin WU ; Jun-Yang LUO ; Xin-Yi DENG ; Zai-Bo JIANG
Annals of Pediatric Endocrinology & Metabolism 2025;30(1):52-53
9.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
10.Impact of human papillomavirus and coinfection with other sexually transmitted pathogens on male infertility.
Xin FAN ; Ya XU ; Li-Feng XIANG ; Lu-Ping LIU ; Jin-Xiu WAN ; Qiu-Ting DUAN ; Zi-Qin DIAN ; Yi SUN ; Ze WU ; Yun-Hua DONG
Asian Journal of Andrology 2025;27(1):84-89
This study primarily aimed to investigate the prevalence of human papillomavirus (HPV) and other common pathogens of sexually transmitted infections (STIs) in spermatozoa of infertile men and their effects on semen parameters. These pathogens included Ureaplasma urealyticum, Ureaplasma parvum, Chlamydia trachomatis, Mycoplasma genitalium , herpes simplex virus 2, Neisseria gonorrhoeae, Enterococcus faecalis, Streptococcus agalactiae, Pseudomonas aeruginosa , and Staphylococcus aureus . A total of 1951 men of infertile couples were recruited between 23 March 2023, and 17 May 2023, at the Department of Reproductive Medicine of The First People's Hospital of Yunnan Province (Kunming, China). Multiplex polymerase chain reaction and capillary electrophoresis were used for HPV genotyping. Polymerase chain reaction and electrophoresis were also used to detect the presence of other STIs. The overall prevalence of HPV infection was 12.4%. The top five prevalent HPV subtypes were types 56, 52, 43, 16, and 53 among those tested positive for HPV. Other common infections with high prevalence rates were Ureaplasma urealyticum (28.3%), Ureaplasma parvum (20.4%), and Enterococcus faecalis (9.5%). The prevalence rates of HPV coinfection with Ureaplasma urealyticum, Ureaplasma parvum, Chlamydia trachomatis, Mycoplasma genitalium , herpes simplex virus 2, Neisseria gonorrhoeae, Enterococcus faecalis, Streptococcus agalactiae , and Staphylococcus aureus were 24.8%, 25.4%, 10.6%, 6.4%, 2.4%, 7.9%, 5.9%, 0.9%, and 1.3%, respectively. The semen volume and total sperm count were greatly decreased by HPV infection alone. Coinfection with HPV and Ureaplasma urealyticum significantly reduced sperm motility and viability. Our study shows that coinfection with STIs is highly prevalent in the semen of infertile men and that coinfection with pathogens can seriously affect semen parameters, emphasizing the necessity of semen screening for STIs.
Humans
;
Male
;
Infertility, Male/epidemiology*
;
Coinfection/microbiology*
;
Papillomavirus Infections/virology*
;
Adult
;
Sexually Transmitted Diseases/complications*
;
China/epidemiology*
;
Staphylococcus aureus/isolation & purification*
;
Chlamydia trachomatis/isolation & purification*
;
Prevalence
;
Mycoplasma genitalium/isolation & purification*
;
Ureaplasma urealyticum/isolation & purification*
;
Neisseria gonorrhoeae/isolation & purification*
;
Enterococcus faecalis/isolation & purification*
;
Streptococcus agalactiae/isolation & purification*
;
Herpesvirus 2, Human/genetics*
;
Pseudomonas aeruginosa/isolation & purification*
;
Semen/virology*
;
Sperm Motility
;
Spermatozoa/microbiology*
;
Human Papillomavirus Viruses

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