1.Visualization analysis on research hotspots and trends of Ganmai Dazao Decoction based on CiteSpace
Jufang CHEN ; Ruoyi LIAO ; Qianxi LI ; Xiyan LI
International Journal of Traditional Chinese Medicine 2025;47(6):849-854
Objective:To analyze the current status, hotspots, and future research trends of Ganmai Dazao Decoction.Methods:Literature about Ganmai Dazao Decoction was retrieved from the CNKI, Wanfang Data, Chongqing VIP, and CBM from January 1, 1994, to June 30, 2024. CiteSpace 6.3.R1 software was used for co-occurrence analysis of authors and institutions, as well as co-occurrence, clustering, timeline, and burst analysis of keywords.Results:A total of 696 articles were included, with an overall fluctuating upward trend in annual publications in this field, peaking in 2018 (51 articles). The institution with the most publications was Nanjing University of Chinese Medicine (12 articles); the journal with the most publications was Inner Mongolia Journal of Traditional Chinese Medicine (28 articles); among the authors, five published the most, with only 3 articles each. Research mainly focused on clinical applications of TCM, theory exploration, animal experiments, and other areas. Conclusions:The publication volume of Ganmai Dazao Decoction research shows an overall upward trend, with high attention on the treatment of diseases such as depression, organ dysregulation, and perimenopausal syndrome. The research hotspots include the mechanism of Ganmai Dazao Decoction in anti-depression and endocrine regulation and so on.
2.Efficacy study of eltrombopag in the treatment of systemic lupus erythematosus with refractory thrombocytopenia
Zhuoyu LI ; Xue WU ; Qianxi XU ; Mengsi MA ; Lijun WU
Chinese Journal of Rheumatology 2025;29(9):776-780
Objective:To evaluated the efficacy and safety of eltrombopag in patients with systemic lupus erythematosus (SLE)-related refractory immune thrombocytopenia (ITP).Methods:Nine patients with severe SLE-associated refractory ITP were recruited the People's Hospital of Xinjiang Uygur Automomous Region from Septermber 2021 to February 2024 and received eltrombopag 50 mg orally daily for 1 month; basic patient information, platelet counts, other laboratory parameters and adverse events were recorded. Normally distributed continuous data were expressed as mean±standard deviation ( Mean±SD) and compared using paried samples t-test; non-normally distributed data were presented as median (interquartile range) [ M( Q1, Q3)]; categorical variables were described as n (%). Results:Eight participants (88.9%) completed the study, and at 1 month, five patients showed significant improvement in subcutaneous bleeding and erythema of the skin and mucous membranes, and three patients showed significant relief of joint and muscle involvement, and the patients′ platelet counts were (16.9±9.6)×10 9/L before treatment and increased to (114.0±53.9)×10 9/L. Differences in platelet levels before and after treatment in intergroup comparisons ( t=-4.881 , P=0.002), of which 4 patients achieved complete remission of platelet involvement, 3 patients achieved partial remission of platelet involvement, 4 cases were significantly efficacious and 3 cases efficacious. Follow-up data showed that platelet counts remained normal with no significant adverse events and one patient discontinued the study after 2 weeks of eltrombopag due to abnormal blood counts. Conclusion:Eltrombopag may be a promising new option for patients with SLE-associated refractory ITP with satisfactory remission rates, but large sample studies are needed for validation.
3.The hypothalamic paraventricular nucleus CBS reduces blood pressure in spontaneously hypertensive rats by affecting PGC-1α
Xiaojing YU ; Yanan GAO ; Ying LI ; Limei TU ; Qianxi GAO ; Yaojun SUN ; Rongli HE ; Yuming KANG ; Xiaolian SHI
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(2):227-237
Objective To elucidate how the overexpression of cystathionine-β-synthase(CBS)plays an antihypertensive role by affecting peroxisome proliferator-activated receptor γ coactivator-1α(PGC-1α)expression.Methods The adeno-associated viruses(AAVs),ones that overexpressed CBS,and another knocked down PGC-1α,were injected into the hypothalamic paraventricular nucleus(PVN)of spontaneously hypertensive rats(SHRs).The rats'blood pressure was monitored,and the level of norepinephrine(NE)was examined by ELISA;PVN inflammatory response,oxidative stress and tyrosine hydroxylase(TH)expression were detected with RT-qPCR and immunofluorescence.Results PVN overexpression of CBS could increase the transcription level of CBS(by 3.8 times,P<0.05)and PGC-1α(by 1.6 times,P<0.05)in PVN of SHR.PVN overexpression of CBS could reduce blood pressure in SHR(from 177.81 mmHg to 128.77 mmHg,P<0.001),but PVN knockdown of PGC-1αweakened such effect(from 128.77 mmHg to 152.79 mmHg,P<0.05).PVN overexpression of CBS could alleviate PVN inflammatory response and oxidative stress,but this effect was weakened or even eliminated when knocking down PGC-1α was performed at the same time.Conclusion PVN overexpression of CBS can reduce blood pressure in SHR,and this effect may be achieved by increasing the transcriptional level of PGC-1α,alleviating PVN inflammatory response,oxidative stress,and improving sympathetic nerve excitation.
4.RNA in situ sequencing reveals immune cells composition and viral distribution in lymph node follicles of HIV-infected individuals
Qianxi GUO ; Chao ZHANG ; Jun ZOU ; Jianning DENG ; Zhiman XIE ; Mingju ZHOU ; Jing LI ; Xia LI ; Peifeng HE ; Lei HUANG
Chinese Journal of Microbiology and Immunology 2025;45(4):293-303
Objective:To investigate the composition of immune cells and fibroblastic reticular cells (FRCs) in the lymph nodes (LNs) follicles of human immunodeficiency virus (HIV)-infected individuals with varying immune statuses, and their association with HIV replication.Methods:Neck LNs samples were collected from 4 treatment-naive, newly diagnosed HIV-infected individuals with diverse immune statuses. RNA in situ sequencing was employed, with imaging achieved via rolling circle amplification and fluorescence labeling. By integrating cell segmentation and nuclear staining, single-cell data from up to one hundred thousand cells were generated per paraffin tissue section. Using lymphoid follicles as the unit of analysis, compositional changes in immune cells and FRCs were characterized, and their correlations with viral replication were evaluated. Results:The peripheral blood CD4 + T cell counts of samples LN_1, LN_2, LN_3, and LN_4 exhibited a sequential decrease. A total of 31, 15, 16, and 18 structurally intact follicles were identified in each sample, respectively. In the follicles of LN_1, the proportion of HIV-replicating cells positively correlated with cDCs abundance ( R2=0.2, P=0.011), and HIV RNA signals were spatially colocalized with cDCs and FRCs. In the follicles of LN_2, HIV RNA molecules showed preferential enrichment within FRCs. In sample LN_3, HIV RNA enrichment was observed in both cDCs and CD4 + T cells. In sample LN_4, the proportion of cells with HIV replication was positively correlated with the proportions of the following cells: cDCs ( R2=0.38, P=0.006 4), CD4 + T cells ( R2=0.28, P=0.025), and FRCs ( R2=0.26, P=0.029), and HIV RNA molecules were detected in cDCs, CD4 + T cells, and FRCs. LN_1 and LN_2 samples showed a trend toward negative correlation between HIV-replicating cell proportion and CD8 + T cells proportion. LN_4 sample demonstrated a significant positive correlation between HIV-replicating cell proportion and CD8 + T cells proportion ( R2=0.23, P=0.046). Conclusions:RNA in situ sequencing technology reveals unique distribution patterns of immune cells and viral replication in LNs follicles of HIV-infected individuals. The follicular immune microenvironment exhibits distinct characteristics associated with peripheral blood CD4 + T cell counts, providing novel insights into the spatial dynamics of HIV persistence and immune cell interactions during infection.
5.Prediction of hematologic toxicity in patients with locally advanced cervical cancer based on radiomics and dosiomics
Qionghui ZHOU ; Luqiao CHEN ; Qianxi NI ; Jing LAN ; Li ZHANG ; Xizi LONG ; Jun ZHU
Chinese Journal of Radiological Medicine and Protection 2025;45(3):188-193
Objective:To explore the application of machine learning (ML) models based on radiomics and dosiomics to the assessment of hematologic toxicity (HT) in patients with locally advanced cervical cancer, and to preliminarily explore the comprehensive application of multi-omics features.Methods:A retrospective study was conducted on the clinical data, planning computed tomography (CT) images, and dose files of 205 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy at the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, from January 2022 to June 2023. Patients were categorized according to the severity of HT. Radiomics and dosiomics features were extracted from the same regions of interest (ROIs), followed by feature selection utilizing a random forest algorithm. Then, radiomics, dosiomics, and hybrid models were established based on extreme gradient boosting (XGBoost). The classification performance of these models was assessed by calculating their sensitivity, specificity, and area under the receiver operating characteristic curve (AUC).Results:The radiomics model yielded sensitivity, specificity, and AUC of 0.42, 0.86, and 0.78, respectively. The dosiomics model exhibited sensitivity, specificity, and AUC of 0.50, 0.90, and 0.74, respectively. In contrast, the hybrid model achieved sensitivity, specificity, and AUC of 0.50, 0.83, and 0.83, respectively. These findings suggest that the hybrid model possessed an enhanced classification capability compared to the individual radiomics and dosiomics models.Conclusions:It is feasible to use ML models based on radiomics and dosiomics to conduct the classification and prediction of HT in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy. Furthermore, integrating both radiomics features and dosiomics features can improve the classification performance of relevant prediction models, thus holding application potentials to optimize treatment strategies for patients with locally advanced cervical cancer.
6.Influencing factors for employment self-confidence in non-medical senior students in medical colleges and universities
Ao HUANG ; Jie LI ; Qianxi ZHANG ; Xiaoqiang YANG
Chinese Journal of Medical Education Research 2025;24(1):82-86
Objective:To investigate the influencing factors for employment self-confidence in non-medical senior students in medical colleges and universities, and to provide a reference for decision-making of student employment work in the employment guidance center of medical colleges and universities.Methods:Based on the valid questionnaire data of 519 non-medical senior students in medical colleges and universities, SPSS 26.0 was used to perform structural validity analysis, reliability analysis, correlation analysis, and multiple linear regression analysis.Results:Career orientation skills and college employment support were significantly and positively correlated with employment self-confidence ( r=0.52 and 0.47, both P<0.001). Career orientation skills had a positive influence on employment self-confidence ( β=0.38, P<0.001), and college employment support had a positive influence on employment self-confidence ( β=0.26, P<0.001), while negative emotions of the epidemic had no influence on employment self-confidence ( β=0.07, P>0.05). Conclusions:Medical colleges and universities need to pay more attention to the psychological aspects of employment in non-medical senior students, enhance their support for employment, and emphasize the development of career orientation skills for non-medical senior students, so as to improve their self-confidence in employment.
7.Prediction of hematologic toxicity in patients with locally advanced cervical cancer based on radiomics and dosiomics
Qionghui ZHOU ; Luqiao CHEN ; Qianxi NI ; Jing LAN ; Li ZHANG ; Xizi LONG ; Jun ZHU
Chinese Journal of Radiological Medicine and Protection 2025;45(3):188-193
Objective:To explore the application of machine learning (ML) models based on radiomics and dosiomics to the assessment of hematologic toxicity (HT) in patients with locally advanced cervical cancer, and to preliminarily explore the comprehensive application of multi-omics features.Methods:A retrospective study was conducted on the clinical data, planning computed tomography (CT) images, and dose files of 205 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy at the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, from January 2022 to June 2023. Patients were categorized according to the severity of HT. Radiomics and dosiomics features were extracted from the same regions of interest (ROIs), followed by feature selection utilizing a random forest algorithm. Then, radiomics, dosiomics, and hybrid models were established based on extreme gradient boosting (XGBoost). The classification performance of these models was assessed by calculating their sensitivity, specificity, and area under the receiver operating characteristic curve (AUC).Results:The radiomics model yielded sensitivity, specificity, and AUC of 0.42, 0.86, and 0.78, respectively. The dosiomics model exhibited sensitivity, specificity, and AUC of 0.50, 0.90, and 0.74, respectively. In contrast, the hybrid model achieved sensitivity, specificity, and AUC of 0.50, 0.83, and 0.83, respectively. These findings suggest that the hybrid model possessed an enhanced classification capability compared to the individual radiomics and dosiomics models.Conclusions:It is feasible to use ML models based on radiomics and dosiomics to conduct the classification and prediction of HT in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy. Furthermore, integrating both radiomics features and dosiomics features can improve the classification performance of relevant prediction models, thus holding application potentials to optimize treatment strategies for patients with locally advanced cervical cancer.
8.The hypothalamic paraventricular nucleus CBS reduces blood pressure in spontaneously hypertensive rats by affecting PGC-1α
Xiaojing YU ; Yanan GAO ; Ying LI ; Limei TU ; Qianxi GAO ; Yaojun SUN ; Rongli HE ; Yuming KANG ; Xiaolian SHI
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(2):227-237
Objective To elucidate how the overexpression of cystathionine-β-synthase(CBS)plays an antihypertensive role by affecting peroxisome proliferator-activated receptor γ coactivator-1α(PGC-1α)expression.Methods The adeno-associated viruses(AAVs),ones that overexpressed CBS,and another knocked down PGC-1α,were injected into the hypothalamic paraventricular nucleus(PVN)of spontaneously hypertensive rats(SHRs).The rats'blood pressure was monitored,and the level of norepinephrine(NE)was examined by ELISA;PVN inflammatory response,oxidative stress and tyrosine hydroxylase(TH)expression were detected with RT-qPCR and immunofluorescence.Results PVN overexpression of CBS could increase the transcription level of CBS(by 3.8 times,P<0.05)and PGC-1α(by 1.6 times,P<0.05)in PVN of SHR.PVN overexpression of CBS could reduce blood pressure in SHR(from 177.81 mmHg to 128.77 mmHg,P<0.001),but PVN knockdown of PGC-1αweakened such effect(from 128.77 mmHg to 152.79 mmHg,P<0.05).PVN overexpression of CBS could alleviate PVN inflammatory response and oxidative stress,but this effect was weakened or even eliminated when knocking down PGC-1α was performed at the same time.Conclusion PVN overexpression of CBS can reduce blood pressure in SHR,and this effect may be achieved by increasing the transcriptional level of PGC-1α,alleviating PVN inflammatory response,oxidative stress,and improving sympathetic nerve excitation.
9.Influencing factors for employment self-confidence in non-medical senior students in medical colleges and universities
Ao HUANG ; Jie LI ; Qianxi ZHANG ; Xiaoqiang YANG
Chinese Journal of Medical Education Research 2025;24(1):82-86
Objective:To investigate the influencing factors for employment self-confidence in non-medical senior students in medical colleges and universities, and to provide a reference for decision-making of student employment work in the employment guidance center of medical colleges and universities.Methods:Based on the valid questionnaire data of 519 non-medical senior students in medical colleges and universities, SPSS 26.0 was used to perform structural validity analysis, reliability analysis, correlation analysis, and multiple linear regression analysis.Results:Career orientation skills and college employment support were significantly and positively correlated with employment self-confidence ( r=0.52 and 0.47, both P<0.001). Career orientation skills had a positive influence on employment self-confidence ( β=0.38, P<0.001), and college employment support had a positive influence on employment self-confidence ( β=0.26, P<0.001), while negative emotions of the epidemic had no influence on employment self-confidence ( β=0.07, P>0.05). Conclusions:Medical colleges and universities need to pay more attention to the psychological aspects of employment in non-medical senior students, enhance their support for employment, and emphasize the development of career orientation skills for non-medical senior students, so as to improve their self-confidence in employment.
10.RNA in situ sequencing reveals immune cells composition and viral distribution in lymph node follicles of HIV-infected individuals
Qianxi GUO ; Chao ZHANG ; Jun ZOU ; Jianning DENG ; Zhiman XIE ; Mingju ZHOU ; Jing LI ; Xia LI ; Peifeng HE ; Lei HUANG
Chinese Journal of Microbiology and Immunology 2025;45(4):293-303
Objective:To investigate the composition of immune cells and fibroblastic reticular cells (FRCs) in the lymph nodes (LNs) follicles of human immunodeficiency virus (HIV)-infected individuals with varying immune statuses, and their association with HIV replication.Methods:Neck LNs samples were collected from 4 treatment-naive, newly diagnosed HIV-infected individuals with diverse immune statuses. RNA in situ sequencing was employed, with imaging achieved via rolling circle amplification and fluorescence labeling. By integrating cell segmentation and nuclear staining, single-cell data from up to one hundred thousand cells were generated per paraffin tissue section. Using lymphoid follicles as the unit of analysis, compositional changes in immune cells and FRCs were characterized, and their correlations with viral replication were evaluated. Results:The peripheral blood CD4 + T cell counts of samples LN_1, LN_2, LN_3, and LN_4 exhibited a sequential decrease. A total of 31, 15, 16, and 18 structurally intact follicles were identified in each sample, respectively. In the follicles of LN_1, the proportion of HIV-replicating cells positively correlated with cDCs abundance ( R2=0.2, P=0.011), and HIV RNA signals were spatially colocalized with cDCs and FRCs. In the follicles of LN_2, HIV RNA molecules showed preferential enrichment within FRCs. In sample LN_3, HIV RNA enrichment was observed in both cDCs and CD4 + T cells. In sample LN_4, the proportion of cells with HIV replication was positively correlated with the proportions of the following cells: cDCs ( R2=0.38, P=0.006 4), CD4 + T cells ( R2=0.28, P=0.025), and FRCs ( R2=0.26, P=0.029), and HIV RNA molecules were detected in cDCs, CD4 + T cells, and FRCs. LN_1 and LN_2 samples showed a trend toward negative correlation between HIV-replicating cell proportion and CD8 + T cells proportion. LN_4 sample demonstrated a significant positive correlation between HIV-replicating cell proportion and CD8 + T cells proportion ( R2=0.23, P=0.046). Conclusions:RNA in situ sequencing technology reveals unique distribution patterns of immune cells and viral replication in LNs follicles of HIV-infected individuals. The follicular immune microenvironment exhibits distinct characteristics associated with peripheral blood CD4 + T cell counts, providing novel insights into the spatial dynamics of HIV persistence and immune cell interactions during infection.

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