1.Syndrome Differentiation and Treatment of Rosacea Using the Method of Venting Heat and Resolving Stagnation
Yuan SUN ; Yang SHEN ; Runan FANG ; Wenjing CHEN ; Yan ZHAO ; Di GE ; Jianhong LI
Journal of Traditional Chinese Medicine 2026;67(5):571-574
This paper summarizes the clinical experience in the syndrome differentiation and treatment of rosacea using the method of venting heat and resolving stagnation. It is considered that the key pathogenesis of rosacea is the accumulation of heat with stagnation. Accordingly, the method of venting heat and resolving stagnation is proposed, which vents and disperses constraint heat by applying approaches such as dredging defensive qi, clearing qi, venting ying (营) level, and cooling blood, while eliminating stagnation and masses through regulating qi, resolving dampness, dispelling phlegm and removing stasis. In clinical practice, a core prescription for venting heat and resolving stagnation is formulated, with flexible modifications made according to the clinical characteristics of different rosacea subtypes, including erythematotelangiectatic, papulopustular, phymatous, and ocular types, thereby providing therapeutic insights for the treatment of rosacea with traditional Chinese medicine.
2.The application of autologous NK cells in the treatment of advanced renal cell carcinoma and the changes of immune function and tumor markers in patients with advanced renal cell carcinoma
Juntian TANG ; Peng NIE ; Yongping XIAO ; Yingyuan HUANG ; Yun YANG ; Jianhong YAN
The Journal of Practical Medicine 2025;41(11):1674-1680
Objective To study the application of autologous natural killer(NK)cells in the treatment of advanced renal cell carcinoma and the changes of immune function and tumor markers in patients.Methods 61 patients with advanced renal cell carcinoma admitted to Gansu Wuwei Tumour Hospital from March 2023 to April 2024 were divided into targeting group(31 cases,given supportive treatment combined with sunitinib malate capsules)and cell group(30 cases,autologous NK cells combined with targeting group)according to the patient's willingness to treat combined with propensity score matching.6 weeks was a treatment cycle,and all patients were treated for 4 cycles.The clinical efficacy of the two groups after 4 cycles of treatment and the occurrence of adverse reactions during treatment were statistically analyzed.The levels of serum cytokines,tumor markers,lymphocyte function and immune function were compared between the two groups before and after 4 cycles of treatment.Results After 4 cycles of treatment,the objective remission rate and disease control rate in the cell group were higher than those in the targeting group(P<0.05).After 4 cycles of treatment,the levels of serum hypoxia-inducible factor-1α(HIF-1α),vascular endothelial growth factor(VEGF),platelet-derived growth factor(PDGF),carcinoembryonic antigen,carbohydrate antigen 125,carbohydrate antigen 199 and alpha-fetoprotein in the two groups were lower than those before treatment,and those in the cell group were lower than those in the targeting group(P<0.012 5).After 4 cycles of treatment,the levels of serum interleukin-2,interleukin-6,tumor necrosis factor-β,interferon-γ,peripheral blood CD3+,CD4+,NK cells and CD4+/CD8+in the two groups were higher than those before treatment.The levels of serum interleukin-2,tumor necrosis factor-β,interferon-γ,peripheral blood CD3+and NK cells in the cell group were higher than those in the targeting group(P<0.012 5).The level of CD8+in peripheral blood was lower than that before treatment(P<0.012 5),but there was no significant difference between the two groups(P>0.012 5).During the treatment,there was no significant difference in the incidence of diarrhea,nausea and vomiting,alopecia,liver function damage,decreased platelet level and decreased neutrophil level between the cell group and the targeting group(P>0.05).Conclusion The treatment of advanced renal cell carcinoma with autologous NK cells could improve the level of serum cytokines,reduce the level of tumor markers,regulate the function of lymphocytes and immune function,and had a good therapeutic effect.At the same time,it would not increase the incidence of adverse reactions,and the safety was good.
3.Risk prediction models for neonatal early-neonatal sepsis:a systematic review
Qingqing WU ; Ruyue LI ; Yingqi YAN ; Yingying WANG ; Shuangli ZHANG ; Jianhong QIAO
Chinese Journal of Infection Control 2025;24(11):1584-1593
Objective To systematically evaluate the risk prediction models for neonatal early-onset sepsis(EOS),aiming to provide reference for the construction and optimization of models,as well as for clinical selection of appro-priate prediction models.Methods PubMed,Web of Science,Embase,Cochrane Library,China National Know-ledge Infrastructure(CNKI),Wanfang Data,China Biology Medicine disc(CBM),and VIP databases were re-trieved,and studies relevant to neonatal EOS risk prediction models were collected.The retrieval period was from the inception of the database to January 18,2025.Two researchers independently screened literatures,extracted da-ta,and evaluated the quality of the included literatures using PROBAST tool.Any disagreements were resolved through consultation with a third reviewer.Results A total of 14 literatures were included in analysis,containing 19 risk prediction models.The area under receiver operating characteristic(ROC)curve(AUC)of the included model ranged 0.71-0.999.The number of prediction factors ranged 3-21.Common prediction factors included young gestational age,low birth weight,1-minute Apgar score,abnormal neonatal temperature,prolonged prema-ture rupture of membranes,amniotic fluid turbidity,maternal Group B streptococcal infection,maternal chorioam-nionitis,as well as elevated levels of procalcitonin and C-reactive protein in neonates.The risk of model overall bias was high,mainly due to insufficient number of outcome variable events in the analysis field,improper processing of missing data,screening of prediction factors based on univariate analysis,lacking model performance evaluation,and overfitting of model.Conclusion The neonatal EOS risk prediction model is still at the development stage.Al-though the current prediction models have better overall predictive performance,the overall quality needs to be im-proved.Future modeling can follow the PROBAST and TRIPOD specifications to reduce bias risk,explore the com-bination of multiple modeling methods,and focus on strengthening external validation and localized application to enhance the clinical applicability and promotion value of the model.
4.Effect and Mechanism of Warming Moxibustion at Shenque Point in the Treatment of Primary Dysmenorrhea in College Students
Yanru ZHANG ; Xiaowen YAN ; Jiaxin CHEN ; Haiyan MA ; Haiyan WANG ; Yingfeng MA ; Xiangdong ZHU ; Baoyou LI ; Jianhong GUO
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):337-345
Objective This study aims to observe the impact of warm moxibustion on menstrual pain in college students with primary dysmenorrhea and explore its potential mechanism.Methods College students with primary dysmenorrhea were recruited and treated with warm moxibustion at Shenque acupoint for three consecutive menstrual cycles.Healthy subjects were also recruited for comparison.Pain scale,uterine artery hemodynamics,and related inflammatory factors were assessed before and after treatment.Results ①The results of scale study showed that the severity and duration of dysmenorrhea were gradually alleviated with the prolongation of treatment time through the analysis of variance of repeated measurements of the total scores of McGill pain inquiry scale and CMSS dysmenorrhea symptom scale before and after 3 treatments.The results of variance analysis and pairwise comparison of repeated measurements of PRI,VAS and PPI of McGill pain inquiry scale before and after 3 times treatment in warm moxibustion group also showed that each index decreased gradually with the prolongation of treatment time.The comparison of the scores of each item of CMSS scale showed that the severity and duration of low back before treatment were significantly different from those in the healthy group(P<0.001),but the difference was weakened after the third treatment.The severity of vomiting,the duration of vomiting,the severity of diarrhea and the duration of diarrhea were significantly different from those in the healthy group before treatment(P<0.001),but they were still higher than those in the healthy group after the third treatment.but the difference was not statistically significant.②Prior to treatment,PD college students exhibited significantly higher S/D and PI values on both sides compared to healthy subjects,with a statistically significant difference observed for PI on the left side(P<0.001).Following treatment,all aforementioned indexes decreased significantly,particularly PI on the left side which showed a significant difference from pre-treatment levels(P<0.001).③Before treatment,the levels of serum IL-1β,TNF-α,and CRP in PD college students were significantly higher compared to those in the healthy group.The difference in IL-1β level was statistically significant(P<0.001).After treatment,there was a noticeable decrease in the levels of IL-1β,TNF-α,and CRP.Specifically,IL-1β showed a significant reduction(P<0.01),and this time the comparison with the healthy group did not reveal any significant difference in IL-1β levels.Conclusion The application of warm moxibustion at the Shenque acupoint demonstrates a significant improvement in both the dysmenorrhea pain rating index and severity among college students with primary dysmenorrhea,while also alleviating the severity and duration of associated symptoms.These positive effects may be attributed to warm moxibustion's ability to enhance uterine microcirculation in individuals with primary dysmenorrhea,and ameliorating inflammatory conditions.
5.Risk prediction models for neonatal early-neonatal sepsis:a systematic review
Qingqing WU ; Ruyue LI ; Yingqi YAN ; Yingying WANG ; Shuangli ZHANG ; Jianhong QIAO
Chinese Journal of Infection Control 2025;24(11):1584-1593
Objective To systematically evaluate the risk prediction models for neonatal early-onset sepsis(EOS),aiming to provide reference for the construction and optimization of models,as well as for clinical selection of appro-priate prediction models.Methods PubMed,Web of Science,Embase,Cochrane Library,China National Know-ledge Infrastructure(CNKI),Wanfang Data,China Biology Medicine disc(CBM),and VIP databases were re-trieved,and studies relevant to neonatal EOS risk prediction models were collected.The retrieval period was from the inception of the database to January 18,2025.Two researchers independently screened literatures,extracted da-ta,and evaluated the quality of the included literatures using PROBAST tool.Any disagreements were resolved through consultation with a third reviewer.Results A total of 14 literatures were included in analysis,containing 19 risk prediction models.The area under receiver operating characteristic(ROC)curve(AUC)of the included model ranged 0.71-0.999.The number of prediction factors ranged 3-21.Common prediction factors included young gestational age,low birth weight,1-minute Apgar score,abnormal neonatal temperature,prolonged prema-ture rupture of membranes,amniotic fluid turbidity,maternal Group B streptococcal infection,maternal chorioam-nionitis,as well as elevated levels of procalcitonin and C-reactive protein in neonates.The risk of model overall bias was high,mainly due to insufficient number of outcome variable events in the analysis field,improper processing of missing data,screening of prediction factors based on univariate analysis,lacking model performance evaluation,and overfitting of model.Conclusion The neonatal EOS risk prediction model is still at the development stage.Al-though the current prediction models have better overall predictive performance,the overall quality needs to be im-proved.Future modeling can follow the PROBAST and TRIPOD specifications to reduce bias risk,explore the com-bination of multiple modeling methods,and focus on strengthening external validation and localized application to enhance the clinical applicability and promotion value of the model.
6.Construction and Validation of a Predictive Model for Influencing Factors of Serum Uric Acid in Preeclampsia
Kun YAN ; Jin LU ; Jianhong ZHOU
Journal of Medical Research 2025;54(9):98-102,192
Objective To construct and validate a predictive model for influencing factors of serum uric acid(SUA)in preeclampsia(PE),providing a scientific basis for early identification and intervention.Methods This study collects 19 variables from 171 PE preg-nant women admitted to the Department of Obstetrics at Bengbu Third People's Hospital between March 1,2021 to June 30,2024 inclu-ding hospitalization number,age,height,weight,urine protein,gestational week,SUA,oral glucose tolerance test(OGTT),alanine aminotransferase(ALT),hemoglobin(HB),albumin(ALB),aspartate aminotransferase(AST),serum creatinine(SCR),triglycer-ides(TG),total cholesterol(TC),serum urea(SUR),low-density lipoprotein cholesterol(LDL),high-density lipoprotein choles-terol(HDL),and D-dimer(D2D).According to the expression level of SUA,the important variables affecting SUA were screened by LASSO,multi-factor Logistic and neural network model,and the nomogram prediction model was constructed.The predictive perform-ance and clinical utility of the model were validated using the receiver operating characteristic(ROC)curve,decision curve analysis(DCA),and calibration curve.Results Three variables-ALB(OR=0.893,95%CI:0.808-0.986),AST(OR=4.292,95%CI:2.043-9.016)and SCR(OR=4.2,95%CI:1.495-11.801)-were identified as significant influencing factors of SUA in PE pregnant women through LASSO,multivariate Logistic regression,and neural network models.A nomogram prediction model for SUA was success-fully established,achieving an ROC value of 0.7646.The net benefit range of DCA was 20%-100%,and the calibration curve showed high consistency with the ideal curve.Conclusion ALB,AST,and SCR are critical variables influencing SUA in PE pregnant women,offering a scientific basis for early prediction and intervention.
7.Construction and Validation of a Predictive Model for Influencing Factors of Serum Uric Acid in Preeclampsia
Kun YAN ; Jin LU ; Jianhong ZHOU
Journal of Medical Research 2025;54(9):98-102,192
Objective To construct and validate a predictive model for influencing factors of serum uric acid(SUA)in preeclampsia(PE),providing a scientific basis for early identification and intervention.Methods This study collects 19 variables from 171 PE preg-nant women admitted to the Department of Obstetrics at Bengbu Third People's Hospital between March 1,2021 to June 30,2024 inclu-ding hospitalization number,age,height,weight,urine protein,gestational week,SUA,oral glucose tolerance test(OGTT),alanine aminotransferase(ALT),hemoglobin(HB),albumin(ALB),aspartate aminotransferase(AST),serum creatinine(SCR),triglycer-ides(TG),total cholesterol(TC),serum urea(SUR),low-density lipoprotein cholesterol(LDL),high-density lipoprotein choles-terol(HDL),and D-dimer(D2D).According to the expression level of SUA,the important variables affecting SUA were screened by LASSO,multi-factor Logistic and neural network model,and the nomogram prediction model was constructed.The predictive perform-ance and clinical utility of the model were validated using the receiver operating characteristic(ROC)curve,decision curve analysis(DCA),and calibration curve.Results Three variables-ALB(OR=0.893,95%CI:0.808-0.986),AST(OR=4.292,95%CI:2.043-9.016)and SCR(OR=4.2,95%CI:1.495-11.801)-were identified as significant influencing factors of SUA in PE pregnant women through LASSO,multivariate Logistic regression,and neural network models.A nomogram prediction model for SUA was success-fully established,achieving an ROC value of 0.7646.The net benefit range of DCA was 20%-100%,and the calibration curve showed high consistency with the ideal curve.Conclusion ALB,AST,and SCR are critical variables influencing SUA in PE pregnant women,offering a scientific basis for early prediction and intervention.
8.A near-complete genomic analysis of aggregated outbreaks of norovirus subtype GⅡ.17P17 in Beijing Chaoyang District from 2014 to 2024
Xiangyu HU ; Jianhong ZHAO ; Shan WANG ; Xiao QI ; Taoli HAN ; Yanhui YANG ; Yan GAO ; Shi CONG ; Lijiao CAO ; Lingli SUN ; Miao JIN ; Yang JIAO
Chinese Journal of Preventive Medicine 2025;59(5):640-649
Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.
9.Effect and Mechanism of Warming Moxibustion at Shenque Point in the Treatment of Primary Dysmenorrhea in College Students
Yanru ZHANG ; Xiaowen YAN ; Jiaxin CHEN ; Haiyan MA ; Haiyan WANG ; Yingfeng MA ; Xiangdong ZHU ; Baoyou LI ; Jianhong GUO
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):337-345
Objective This study aims to observe the impact of warm moxibustion on menstrual pain in college students with primary dysmenorrhea and explore its potential mechanism.Methods College students with primary dysmenorrhea were recruited and treated with warm moxibustion at Shenque acupoint for three consecutive menstrual cycles.Healthy subjects were also recruited for comparison.Pain scale,uterine artery hemodynamics,and related inflammatory factors were assessed before and after treatment.Results ①The results of scale study showed that the severity and duration of dysmenorrhea were gradually alleviated with the prolongation of treatment time through the analysis of variance of repeated measurements of the total scores of McGill pain inquiry scale and CMSS dysmenorrhea symptom scale before and after 3 treatments.The results of variance analysis and pairwise comparison of repeated measurements of PRI,VAS and PPI of McGill pain inquiry scale before and after 3 times treatment in warm moxibustion group also showed that each index decreased gradually with the prolongation of treatment time.The comparison of the scores of each item of CMSS scale showed that the severity and duration of low back before treatment were significantly different from those in the healthy group(P<0.001),but the difference was weakened after the third treatment.The severity of vomiting,the duration of vomiting,the severity of diarrhea and the duration of diarrhea were significantly different from those in the healthy group before treatment(P<0.001),but they were still higher than those in the healthy group after the third treatment.but the difference was not statistically significant.②Prior to treatment,PD college students exhibited significantly higher S/D and PI values on both sides compared to healthy subjects,with a statistically significant difference observed for PI on the left side(P<0.001).Following treatment,all aforementioned indexes decreased significantly,particularly PI on the left side which showed a significant difference from pre-treatment levels(P<0.001).③Before treatment,the levels of serum IL-1β,TNF-α,and CRP in PD college students were significantly higher compared to those in the healthy group.The difference in IL-1β level was statistically significant(P<0.001).After treatment,there was a noticeable decrease in the levels of IL-1β,TNF-α,and CRP.Specifically,IL-1β showed a significant reduction(P<0.01),and this time the comparison with the healthy group did not reveal any significant difference in IL-1β levels.Conclusion The application of warm moxibustion at the Shenque acupoint demonstrates a significant improvement in both the dysmenorrhea pain rating index and severity among college students with primary dysmenorrhea,while also alleviating the severity and duration of associated symptoms.These positive effects may be attributed to warm moxibustion's ability to enhance uterine microcirculation in individuals with primary dysmenorrhea,and ameliorating inflammatory conditions.
10.Establishment of real-time fluorescence quantitative PCR method for detecting the N subgenome of SARS-CoV-2
Taoli HAN ; Zhi ZHANG ; Jiaxin ZHAO ; Pan LU ; Yang JIAO ; Jianhong ZHAO ; Yan GAO ; Shiyao ZHANG ; Kuankuan LIU ; Yujie LIU ; Ru FAN ; Wenjing LI ; Lingli SUN
Chinese Journal of Experimental and Clinical Virology 2025;39(1):96-101
Objective:To establish a fluorescent quantitative RT-PCR assay based on N_sgRNA of SARS-CoV-2 and preliminarily apply it on real samples.Methods:Recombinant plasmid, specific primers and probes of N_sgRNA were designed and synthesized based on Wuhan-Hu-1/2019_MN908947 and synthesis mechanism of subgenomic RNA (sgRNA). Using recombinant plasmid as amplification templates, the optimal reaction conditions and reaction system were screened according to the Ct value, fluorescence intensity, and shape of amplification curve and was evaluated for sensitivity, reproducibility, and specificity. Meanwhile, the possibility of practical application of the method was explored by testing 172 clinical samples and 256 municipal wastewater samples. Results:A qRT-PCR assay for N_sgRNA in SARS-CoV-2 was initially established. The detection limit of the assay was 20 copies/mL, and the variation coefficients of in-batch (0.002%~0.767%) and batch to batch repetition (0.016%~0.752%) were less than 1%. Only N_sgRNA recombinant plasmid was detected in the specificity assay. So the method is more highly sensitive, specific and reproducible. The RatiosgRNA/ gRNA of clinical samples HK.3, EG.5.1, JN.1 and their sub-lineages and their corresponding urban sewage samples in epidemic period were significantly different ( P<0.05). There is a strong correlation between the median of RatiosgRNA/ gRNA in clinical samples and sewage samples in the same period (correlation coefficient r=1.000, P=0.010). Conclusions:In this study, a qRT-PCR method for detecting N_sgRNA of SARS-CoV-2 was established and the method has the characteristics of higher sensitivity, stronger specificity and better repeatability, and it can be used to detect SARS-CoV-2 infectivity.

Result Analysis
Print
Save
E-mail