1.A minimally invasive, fast on/off "odorgenetic" method to manipulate physiology.
Yanqiong WU ; Xueqin XU ; Shanchun SU ; Zeyong YANG ; Xincai HAO ; Wei LU ; Jianghong HE ; Juntao HU ; Xiaohui LI ; Hong YU ; Xiuqin YU ; Yangqiao XIAO ; Shuangshuang LU ; Linhan WANG ; Wei TIAN ; Hongbing XIANG ; Gang CAO ; Wen Jun TU ; Changbin KE
Protein & Cell 2025;16(7):615-620
2.Analysis of influencing factors on postoperative olfactory function in patients with chronic rhinosinusitis with nasal polyps
Xiuqin XU ; Qiyu ZHAO ; Yang SHEN ; Yucheng YANG ; Suling HONG ; Xia KE
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(2):118-126
Objective:To analyze the recovery of olfactory function in patients diagnosed with chronic rhinosinusitis with nasal polyps (CRSwNP) after endoscopic sinus surgery and to identify factors influencing recovery to provide a theoretical foundation for taking effective measures.Methods:This was a retrospective analysis included 277 CRSwNP patients with olfactory dysfunction who underwent endoscopic sinus surgery at the First Affiliated Hospital of Chongqing Medical University from October 2021 to September 2023. This study included 189 males and 88 females, with a median age of 46 years (range: 18-84 years). Routine laboratory tests, sinus CT Lund-Mackay score, modified sinus CT score, endoscopic polyp score, and nasal endoscopic Lund-Kennedy score were included for preoperative assessments. Eosinophil counts were obtained from nasal polyp tissues during surgery. The University of Pennsylvania smell identification test (UPSIT) was administered before surgery and 6 months after surgery to evaluate olfactory function. Based on results of postoperative olfactory test, patients were divided into two groups: the group with improved olfactory function and without improvement of olfactory function. Chi-square test and multivariate Logistic regression were used to analyze relevant factors affecting postoperative olfactory function of CRSwNP patients, and the prediction model was constructed to verify its consistency and to analyze its prediction efficiency.Results:Of the 277 patients, 155 (56%) showed improved olfactory function and 122 (44%) did not improve after surgery. Multivariate Logistic regression analysis identified following independent factors associated with improved postoperative olfactory function: concurrent allergic rhinitis ( OR=2.34), long duration of olfactory dysfunction ( OR=1.13), higher total score of CT olfactory zone ( OR=1.26), higher Lund-Kennedy score ( OR=1.23), presence of olfactory cleft polyps ( OR=4.72), higher tissue eosinophil count ( OR=1.01) and high IL-6 levels ( OR=1.51). Conversely, a higher endoscopic polyp score ( OR=0.74) was associated with a lower likelihood of olfactory improvement. The nomogram model, validated using receiver operating characteristic (ROC) analysis, demonstrated good clinical efficacy with an area under the curve (AUC) of 0.80 (95%CI: 0.748-0.852). The calibration curve showed an absolute error of 0.021, indicating good consistency and predictive accuracy. Conclusions:Factors such as a medical history of allergic rhinitis, duration of olfactory dysfunction, total score of sinus CT olfactory zone, endoscopic Lund-Kennedy score, olfactory cleft polyps, tissue eosinophil count, IL-6 level and endoscopic polyp score independently influence postoperative olfactory function of CRSwNP patients. The nomogram model based on these independent factors has good clinical efficacy, which can be used to predict the postoperative olfactory function in CRSwNP patients with olfactory dysfunction.
3.Prediction of pathological classification of ground glass nodules based on artificial intelligence CT quantitative parameters and histogram parameters
Jie XU ; Ruibin YANG ; Lihua ZHAO ; Lizhen LUO ; Xiuqin GUO
Chinese Journal of Postgraduates of Medicine 2025;48(4):318-321
Objective:To analyze the prediction of pathological classification of ground glass nodules based on artificial intelligence computed tomography (CT) quantitative parameters combined with histogram parameters.Methods:The clinical data of 268 suspected patients with ground glass nodules admitted to Foshan Fosun Chancheng Hospital from June 2021 to June 2023 were retrospectively selected as the research subjects. They were divided into pre invasive lesions group (100 cases) and invasive lesions group(168 cases) according to pathological classification. Basic data of patients with different pathological classifications and the CT characteristics were compared, the prediction of pathological classification of ground glass nodules based on CT quantitative parameters combined and histogram parameters were analyzed by receiver operating characteristic (ROC) curve.Results:The edge and boundary of the tumor, shape of the lesion, the peripheral signs of the lesion and the boundary between the two groups had statistical differences ( P<0.05). The CT quantitative parameters of maximum diameter, lesion volume, average CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (15.29 ± 3.20) cm vs. (9.75 ± 2.14) cm, (1.54 ± 0.31) cm 3 vs. (0.51 ± 0.10) cm 3, (- 328.16 ± 46.35) HU vs. (-541.25 ± 100.30) HU, P<0.05. The CT histogram parameters of inproportion of solid components, entropy and maximum CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (66.39 ± 13.25)% vs. (42.65 ± 11.20)%, 4.31 ± 0.52 vs. 3.32 ± 0.39, (-75.34 ± 21.27) HU vs. (-141.72 ± 32.43)HU, P<0.05. Compared with the single prediction of CT quantitative parameters and CT histogram parameters, the combined prediction of the two parameters had higher value in predicting different pathological subtypes of ground glass nodules (the area under the curve was 0.877, P = 0.001). Conclusions:The combined detection of CT quantitative parameters and histogram parameters based on artificial intelligence can effectively evaluate the invasion status of ground glass nodules, which is beneficial for improving the detection of different pathological types of ground glass nodules.
4.Prediction of pathological classification of ground glass nodules based on artificial intelligence CT quantitative parameters and histogram parameters
Jie XU ; Ruibin YANG ; Lihua ZHAO ; Lizhen LUO ; Xiuqin GUO
Chinese Journal of Postgraduates of Medicine 2025;48(4):318-321
Objective:To analyze the prediction of pathological classification of ground glass nodules based on artificial intelligence computed tomography (CT) quantitative parameters combined with histogram parameters.Methods:The clinical data of 268 suspected patients with ground glass nodules admitted to Foshan Fosun Chancheng Hospital from June 2021 to June 2023 were retrospectively selected as the research subjects. They were divided into pre invasive lesions group (100 cases) and invasive lesions group(168 cases) according to pathological classification. Basic data of patients with different pathological classifications and the CT characteristics were compared, the prediction of pathological classification of ground glass nodules based on CT quantitative parameters combined and histogram parameters were analyzed by receiver operating characteristic (ROC) curve.Results:The edge and boundary of the tumor, shape of the lesion, the peripheral signs of the lesion and the boundary between the two groups had statistical differences ( P<0.05). The CT quantitative parameters of maximum diameter, lesion volume, average CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (15.29 ± 3.20) cm vs. (9.75 ± 2.14) cm, (1.54 ± 0.31) cm 3 vs. (0.51 ± 0.10) cm 3, (- 328.16 ± 46.35) HU vs. (-541.25 ± 100.30) HU, P<0.05. The CT histogram parameters of inproportion of solid components, entropy and maximum CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (66.39 ± 13.25)% vs. (42.65 ± 11.20)%, 4.31 ± 0.52 vs. 3.32 ± 0.39, (-75.34 ± 21.27) HU vs. (-141.72 ± 32.43)HU, P<0.05. Compared with the single prediction of CT quantitative parameters and CT histogram parameters, the combined prediction of the two parameters had higher value in predicting different pathological subtypes of ground glass nodules (the area under the curve was 0.877, P = 0.001). Conclusions:The combined detection of CT quantitative parameters and histogram parameters based on artificial intelligence can effectively evaluate the invasion status of ground glass nodules, which is beneficial for improving the detection of different pathological types of ground glass nodules.
5.Analysis of influencing factors on postoperative olfactory function in patients with chronic rhinosinusitis with nasal polyps
Xiuqin XU ; Qiyu ZHAO ; Yang SHEN ; Yucheng YANG ; Suling HONG ; Xia KE
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(2):118-126
Objective:To analyze the recovery of olfactory function in patients diagnosed with chronic rhinosinusitis with nasal polyps (CRSwNP) after endoscopic sinus surgery and to identify factors influencing recovery to provide a theoretical foundation for taking effective measures.Methods:This was a retrospective analysis included 277 CRSwNP patients with olfactory dysfunction who underwent endoscopic sinus surgery at the First Affiliated Hospital of Chongqing Medical University from October 2021 to September 2023. This study included 189 males and 88 females, with a median age of 46 years (range: 18-84 years). Routine laboratory tests, sinus CT Lund-Mackay score, modified sinus CT score, endoscopic polyp score, and nasal endoscopic Lund-Kennedy score were included for preoperative assessments. Eosinophil counts were obtained from nasal polyp tissues during surgery. The University of Pennsylvania smell identification test (UPSIT) was administered before surgery and 6 months after surgery to evaluate olfactory function. Based on results of postoperative olfactory test, patients were divided into two groups: the group with improved olfactory function and without improvement of olfactory function. Chi-square test and multivariate Logistic regression were used to analyze relevant factors affecting postoperative olfactory function of CRSwNP patients, and the prediction model was constructed to verify its consistency and to analyze its prediction efficiency.Results:Of the 277 patients, 155 (56%) showed improved olfactory function and 122 (44%) did not improve after surgery. Multivariate Logistic regression analysis identified following independent factors associated with improved postoperative olfactory function: concurrent allergic rhinitis ( OR=2.34), long duration of olfactory dysfunction ( OR=1.13), higher total score of CT olfactory zone ( OR=1.26), higher Lund-Kennedy score ( OR=1.23), presence of olfactory cleft polyps ( OR=4.72), higher tissue eosinophil count ( OR=1.01) and high IL-6 levels ( OR=1.51). Conversely, a higher endoscopic polyp score ( OR=0.74) was associated with a lower likelihood of olfactory improvement. The nomogram model, validated using receiver operating characteristic (ROC) analysis, demonstrated good clinical efficacy with an area under the curve (AUC) of 0.80 (95%CI: 0.748-0.852). The calibration curve showed an absolute error of 0.021, indicating good consistency and predictive accuracy. Conclusions:Factors such as a medical history of allergic rhinitis, duration of olfactory dysfunction, total score of sinus CT olfactory zone, endoscopic Lund-Kennedy score, olfactory cleft polyps, tissue eosinophil count, IL-6 level and endoscopic polyp score independently influence postoperative olfactory function of CRSwNP patients. The nomogram model based on these independent factors has good clinical efficacy, which can be used to predict the postoperative olfactory function in CRSwNP patients with olfactory dysfunction.
6.Expression Levels and Regulation of Selenoprotein Genes in Patients With Coronavirus Disease 2019
Jing LI ; Rongqiang ZHANG ; Lingzhi ZHANG ; Yan QI ; Jie HAO ; Aoyue HE ; Xu ZHAO ; Xiuqin LI
Acta Academiae Medicinae Sinicae 2024;46(3):316-323
Objective To investigate the expression levels of selenoprotein genes in the patients with coronavirus disease 2019(COVID-19)and the possible regulatory mechanisms.Methods The dataset GSE177477 was obtained from the Gene Expression Omnibus,consisting of a symptomatic group(n=11),an asymptomatic group(n=18),and a healthy control group(n=18).The dataset was preprocessed to screen the differentially expressed genes(DEG)related to COVID-19,and gene ontology functional annotation and Kyoto encyclopedia of genes and genomes enrichment analysis were performed for the DEGs.The protein-protein interaction network of DEGs was established,and multivariate Logistic regression was employed to analyze the effects of selenoprotein genes on the presence/absence of symptoms in the patients with COVID-19.Results Compared with the healthy control,the symptomatic COVID-19 patients presented up-regulated expression of GPX1,GPX4,GPX6,DIO2,TXNRD1,SELENOF,SELENOK,SELENOS,SELENOT,and SELENOW and down-regulated ex-pression of TXNRD2 and SELENON(all P<0.05).The asymptomatic patients showcased up-regulated expres-sion of GPX2,SELENOI,SELENOO,SELENOS,SELENOT,and SELENOW and down-regulated expression of SELP(all P<0.05).The results of multivariate Logistic regression analysis showed that the abnormally high expression of GPX1(OR=0.067,95%CI=0.005-0.904,P=0.042)and SELENON(OR=56.663,95%CI=3.114-856.999,P=0.006)was the risk factor for symptomatic COVID-19,and the abnormally high expres-sion of SELP was a risk factor for asymptomatic COVID-19(OR=15.000,95%CI=2.537-88.701,P=0.003).Conclusions Selenoprotein genes with differential expression are involved in the regulation of COVID-19 development.The findings provide a new reference for the prevention and treatment of COVID-19.
7.Current Status and Challenges of Biological Sample Management in Clinical Trials
Rui PAN ; Xianglin ZUO ; Xiaolin LIU ; Jie WANG ; Xiuqin WANG ; Xu HUANG ; Lili SHA ; Niu ZHANG ; Li WAN ; Jun BAO
Chinese Medical Ethics 2023;36(6):606-612
With the rapid development of clinical trials, the relevant medical research and molecular detection based on biological samples are closely related to the progress of clinical trials, making the role of biological samples in clinical trials increasingly obvious. The standardized supervision mode of biological samples is an important prerequisite for carrying out high-quality clinical trials. Although the laws and regulations related to clinical trials are becoming more and more perfect, there are still a large number of adverse events related to biological samples, which seriously affects the progress and results of clinical trials, and is one of the important challenges currently facing. Therefore, it is urgent to enhance the supervision of biological samples and improve the management methods of biological samples in clinical trials at this stage. Through in-depth discussion of the current status of biological sample management in clinical trials at home and abroad, this paper analyzed the issues existed during the supervision of biological samples, and supplemented the biological sample management methods by further combing the existing relevant laws and regulations and the Guidelines for the Ethical Management of Biological Samples in Clinical Trials, with a view to providing suggestions and ideas for optimizing the management mode of biological samples in clinical trials.
8.Evaluation of parasitic diseases prevention and control abilities of professional technicians in Shandong Province based on competition
Yan XU ; Yongbin WANG ; Benguang ZHANG ; Changlei ZHAO ; Xiuqin BU ; Longjiang WANG ; Xiangli KONG
Chinese Journal of Endemiology 2021;40(6):464-469
Objective:To understand the knowledge and skills of professional technicians in prevention and control of parasitic diseases in Shandong Province, and to provide a basis for further capacity building.Methods:On October 12 and 13, 2017, five professional technicians from each of 17 prefectures and cities in Shandong Province participated in the "Shandong Province Parasitic Diseases Prevention and Control Job Skills Competition in 2017". This competition included theoretical knowledge examination (written test) and operation skill examination (operation test). The written test included basic knowledge of parasites life history, pathogen, diagnosis, epidemic and prevention; the operation test included blood smear making, Kato-Katz thick smear making, microscopic examination of Plasmodium and Helminth eggs. The competition results of the competitors were statistically analyzed, and the pass rate, correct answer rate and accuracy of microscopic examination were calculated. According to the report of malaria cases from 2010 to 2017, 17 prefectures and cities in Shandong Province were divided into malaria classⅠreport area (≥100 cases) and malaria classⅡreport area (< 100 cases), and the competition results of the two types of areas were compared. Results:A total of 85 competitors in Shandong Province participated in the competition, including 19 males (22.35%) and 66 females (77.65%); the age was (34.67±6.04) years old, the youngest was 25 years old, and the oldest was 51 years old. The scores of written test and operation test were (67.06±12.73) and (59.31±14.23) points, respectively, and the difference between them was statistically significant ( t=4.949, P < 0.01). The pass rate of written test was 74.12% (63/85); the correct answer rates of morphology, life history, pathogenicity, diagnosis, epidemic and prevention were 71.76% (366/510), 71.61% (913/1 275), 67.94% (462/680), 71.18% (847/1 190), 66.91% (455/680) and 65.76% (1 062/1 615), respectively, there was statistically significant difference in the correct answer rates of different knowledge points (χ 2=18.185, P < 0.01). The pass rate of operation test was 55.29% (47/85); among them, the pass rates of blood smear making, Kato-Katz thick smear making, microscopic examination of Plasmodium and Helminth eggs were 98.82% (84/85), 98.82% (84/85), 70.59% (60/85) and 31.76% (27/85), respectively. Four Plasmodium species were examined, and the overall accuracy of microscopic examination was 61.41% (261/425), there was no statistically significant difference in the accuracy of microscopic examination between different Plasmodium species (χ 2=4.791, P > 0.05). Nine common Helminth eggs were examined, and the overall accuracy of microscopic examination was 47.29% (402/850), there was statistically significant difference in the accuracy of microscopic examination between different Helminth eggs (χ 2=180.064, P < 0.01). The scores [(28.27±3.74) and (23.20±3.39) points, n=30] of microscopic examination of Plasmodium and Helminth eggs in the malaria classⅠ report area were higher than those in the malaria classⅡreport area [(22.40±5.81) and (18.25±3.41) points, n=55], and the differences were statistically significant ( t=2.217, 2.860, P < 0.05). Conclusions:For professional technicians, the mastery of theoretical knowledge in prevention and control of parasitic diseases is better than operation skills in Shandong Province. So the training and assessment of prevention and control skills of parasitic diseases should be strengthened in areas with weak abilities.
9.Predicting fall related injury risk of patients in hospital
Shuangyan XU ; Minqi YAO ; Xin HUANG ; Xiuqin FENG ; Jianping SONG ; Jie XU
Chinese Journal of Practical Nursing 2021;37(19):1468-1472
Objective:To develop and internally validate a fall related injury risk nomogram in of patients in Patients in hospital.Methods:Patients who fall during the hospital stay from a grade-three general hospital of Zhejiang province were recruited. Data were collected from January 2014 to December 2019. Data was collected after patients fall in hospital, including age, sex, and 18 other predictive factors. The LASSO regression model and multivariable logistic regression analysis were applied to build a predicting model. Discrimination and calibration of the predicting model were assessed using the C-index and calibration plot. Internal validation was assessed using the bootstrapping validation.Results:Of the 243 patients included in the study, 70 patients had fall related injury. The fall related injury probability was 28.81%. Predictors contained in the prediction nomogram included age≥60, dysfunction, combined utilization of special drugs, no-escort, hypocalcemia. The model displayed good discrimination with a C-index of 0.823 (95% confidence interval 0.756-0.875) and good calibration. High C-index value of 0.803 could still be reached in the interval validation.Conclusion:This fall related injury risk nomogram in of patients in Patients in hospital incorporating the age≥60, dysfunction, combined utilization of special drugs, no-escort, hypocalcemia could be conveniently used to predict fall related injury risk of patients in hospital.
10.Research advances in the role of myeloid-derived suppressor cells in liver diseases
Lijun XU ; Xiuqin AN ; Yue LI ; Jinchun LIU
Journal of Clinical Hepatology 2020;36(12):2851-2855
In recent years, more and more studies have shown that myeloid-derived suppressor cells (MDSCs) participate in the development and progression of various chronic liver diseases including chronic viral hepatitis, alcoholic liver disease, nonalcoholic fatty liver disease, autoimmune liver diseases, and liver cancer. As a type of cells derived from bone marrow progenitor cells and immature myeloid cells, MDSCs play an important role in the development, progression, and repair of liver diseases by regulating inflammatory response and the differentiation and function of immune cells. This article reviews the research advances in the association between MDSCs and various liver diseases, in order to provide new thoughts for the clinical diagnosis, prognosis, and treatment of chronic liver diseases.

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