1.Exploring the Medication Rules and Mechanism of Traditional Chinese Medicine Master XUAN Guo-Wei in the Treatment of Vitiligo Based on Data Mining and Network Pharmacology
Qin LIU ; Ting-Jing ZHONG ; Yue PEI ; Jin-Dian DONG ; Wen-Feng WU ; Jia-Fen LIANG ; Hong-Yi LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(11):3025-3034
Objective To deeply explore the principles of drug combinations in the treatment of vitiligo by traditional Chinese medicine master XUAN Guo-Wei by data mining technology,and to analyze the potential mechanism of action of the core drug pairs by network pharmacology.Methods The original case records of Professor XUAN Guo-Wei in treating vitiligo were compiled,and then TCM inheritance Computing Platform was used to analyze the frequency of drugs in the prescriptions,the association rules between drugs,and the core combinations of drugs by the association rule method,and the core drug pairs of Professor XUAN Guo-Wei's treatment of vitiligo were obtained based on the results of the data mining,additionally,the mechanism of the core pairs of drugs was analyzed by using the method of network pharmacology.Results A total of 243 prescriptions were collected,among which the high-frequency drugs were Glycyrrhizae Radix et Rhizoma,Tribuli Fructus,Ecliptae Herba,Cuscutae Semen,Scrophulariae Radix,Angelicae Dahuricae Radix,etc.,and the core pair was Tribuli Fructus-Ecliptae Herba.The main components of Tribuli Fructus-Ecliptae Herba for the treatment of vitiligo were quercetin,kaempferol,etc.,there were 47 targets for the intersection of the active ingredients with the disease,among which TP53,TNF,IL-1β,CASP3,VEGFA,PTGS2,IL10,IL2,IFNG,and IL4 may be the core targets for the treatment of vitiligo by Tribuli Fructus-Ecliptae Herba.The main pathways of Tribuli Fructus-Ecliptae Herba drug pairs against the disease were PI3K-Akt signaling pathway,NF-κB signaling pathway,JAK-STAT signaling pathway and MAPK signaling pathway.Conclusion The core drug pair of Professor XUAN Guo-Wei in the treatment of vitiligo is Tribuli Fructus-Ecliptae Herba,which involves targets such as TP53,TNF,IL-1β,CASP3,VEGFA,PTGS2,IL10,IL2,IFNG,IL4,etc.,Tribuli Fructus-Ecliptae Herba drug pair maybe exert an effect in the treatment of vitiligo through PI3K-Akt signaling pathway,NF-κB signaling pathway,JAK-STAT signaling pathway and MAPK signaling pathway.
2.Research progress on acquired RET fusion induces secondary resistance to EGFR therapy in advanced EGFR-mutated non-small cell lung cancer
An WANG ; Tao LI ; Di LU ; Yun-Ye MAO ; Jia-Pei QIN ; Xin ZHOU ; Hao FAN ; Yi HU
Medical Journal of Chinese People's Liberation Army 2024;49(9):1080-1087
With the in-depth study of molecular biology,non-small cell lung cancer(NSCLC)has opened the era of precision medicine based on mutation-based molecular targeting therapy.Epidermal growth factor receptor(EGFR)driver mutations are closely related to the progression of NSCLC,and EGFR-tyrosine kinase inhibitors(TKIs)developed based on this have achieved significant therapeutic effects,but acquired drug resistance is still one of the major factors limiting their long-term use.As resistance mechanisms are further investigated,in addition to secondary EGFR mutation,MET amplification,HER2 amplification,histologic transformation,etc.,receptor tyrosine kinase(RTK)fusion mutation have been shown to be a targetable mechanism of acquired resistance.Among the acquired RTK fusion mutations,rearranged during transfection(RET)fusion mutations are the accessible targets of our concern.As the RET molecule continues to be explored,drugs targeting RET fusions have been approved and marketed.There are different clinical strategies to deal with acquired RET fusion mutation mediating resistance to EGFR-TKIs treatment.In this review,the structure and function of RET,its relationship with EGFR-TKIs resistance,and treatment strategies are reviewed to further improve patient survival outcomes.
3.Data Mining of Medication Rules for the Treatment of Atopic Dermatitis the Children by Chinese Medical Master XUAN Guo-Wei
Jin-Dian DONG ; Cheng-Cheng GE ; Yue PEI ; Shu-Qing XIONG ; Jia-Fen LIANG ; Qin LIU ; Xiu-Mei MO ; Hong-Yi LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(3):752-758
Objective Data mining technology was used to mine the medication rules of the prescriptions used in the treatment of pediatric atopic dermatitis by Chinese medical master XUAN Guo-Wei.Methods The medical records of effective cases of pediatric atopic dermatitis treated by Professor XUAN Guo-Wei at outpatient clinic were collected,and then the medical data were statistically analyzed using frequency statistics,association rule analysis and cluster analysis.Results A total of 242 prescriptions were included,involving 101 Chinese medicinals.There were 23 commonly-used herbs,and the 16 high-frequency herbs(frequency>100 times)were Glycyrrhizae Radix et Rhizoma,Saposhnikoviae Radix,Glehniae Radix,Perillae Folium,Ophiopogonis Radix,Cynanchi Paniculati Radix et Rhizoma,Microctis Folium,Dictamni Cortex,Scrophulariae Radix,Coicis Semen,Cicadae Periostracum,Lilii Bulbus,Rehmanniae Radix,Kochiae Fructus,Sclerotium Poriae Pararadicis,and Euryales Semen.The analysis of the medicinal properties showed that most of the herbs were sweet and cold,and mainly had the meridian tropism of the spleen,stomach and liver meridians.The association rule analysis yielded 24 commonly-used drug combinations and 20 association rules.Cluster analysis yielded 2 core drug combinations.Conclusion For the treatment of pediatric atopic dermatitis,Professor XUAN Guo-Wei focuses on the clearing,supplementing and harmonizing therapies,and the medication principle of"supporting the healthy-qi to eliminate the pathogen,and balancing the yin and yang"is applied throughout the treatment.
4.Mechanism of DNA methyltransferase 3a mediating progression of lung squamous cell carcinoma and prognostic correlation analysis
Xin ZHOU ; Hao FAN ; An WANG ; Jia-Pei QIN ; Yi-Bing BAI ; Zhi-Qiang MA ; Yi HU
Medical Journal of Chinese People's Liberation Army 2024;49(12):1426-1436
Objective To investigate the correlation between DNA methyltransferase 3a(DNMT3a)expression and prognosis of lung squamous cell carcinoma(LSCC),as well as to elucidate the potential molecular mechanisms of DNMT3a in LSCC progression.Methods A retrospective analysis was conducted on a cohort of 47 LSCC patients who underwent surgery in the Department of Thoracic Surgery,the Second Affiliated Hospital of Air Force Medical University between May 2009 and January 2014.DNMT3a expression in LSCC tissues and paired adjacent non-cancerous tissues was assessed using immunohistochemical(IHC)staining.Patients were categorized into two groups based on the median IHC score of DNMT3a in LSCC tissues:high DNMT3a expression group(n=25)and low DNMT3a expression group(n=22).Prognostic correlation was analyzed in combination with clinicopathological data and public biological databases.To explore the molecular mechanisms of DNMT3a in LSCC progression,H1703 LSCC cell lines with overexpressed DNMT3a were established using a lentiviral infection method,with the creation of DNMT3a overexpression group and control group.Functional phenotype experiments were then conducted to test the differences in cell proliferation and migration between the two groups.DNMT3a overexpression tumor xenograft models were also established in nude mice,with the creation of DNMT3a overexpression group and control group(3 mice per group),to observe the growth of subcutaneous xenograft tumors.Western blotting analysis was employed to detect the expression of related proteins in the two groups of cells and subcutaneous xenograft tumors.Functional rescue experiments involved treating DNMT3a overexpression cells with c-Myc inhibitor(10058-F4)and assessing cell proliferation using EdU proliferation staining.Subsequently,DNMT3a overexpression cells were infected with RNAi-Zinc finger E-box binding homeobox 1(ZEB1)lentivirus to knock down ZEB1 expression,and a Transwell migration assay was utilized to detect cell migration.Finally,DNMT3a overexpression group and control group were treated with DNMT specific inhibitor(SGI-1027),and the effects of DNMT3a inhibition on cell proliferation and migration were observed in both overexpression and control groups.Results IHC analysis revealed significantly higher DNMT3a level in LSCC tissues compared to adjacent non-cancerous tissues(P<0.0001).High DNMT3a expression was closely associated with N stage,clinical stage and tumor differentiation degree(P<0.05 or P<0.01),and it was identified as an independent risk factor for poor prognosis in LSCC patients(P<0.05).Functional phenotype experiments indicated that DNMT3a overexpression group exhibited significantly higher colony formation number,proportion of EdU-positive cells,wound healing migration rate,and Transwell cell migration number compared with control group(P<0.05).The volume and weight of subcutaneous xenograft tumors in DNMT3a overexpression group were significantly higher than those in control group(P<0.001).Western blotting showed that the protein expression levels of c-Myc and ZEB1 in DNMT3a overexpression group were significantly higher than those in control group.Functional rescue experiments demonstrated a significant reduction in the proportion of EdU-positive cells after 10058-F4 treatment in DNMT3a overexpression group(P<0.05).Knockdown of ZEB1 led to a significant decrease in the number of Transwell cell migration in DNMT3a overexpression group(P<0.05),with no significant change in DNMT3a protein expression.Additionally,inhibition of DNMT3a with SGI-1027 resulted in a significant decrease in colony formation number and migration rate in both DNMT3a overexpression group and control group(P<0.05).Conclusions High expression of DNMT3a is a significant independent risk factor for poor prognosis of LSCC patients.DNMT3a is likely to promote the proliferation of LSCC by upregulating c-Myc expression and to enhance the migration of LSCC by increasing ZEB1 expression.
5.Effect of High-Concentration Uric Acid on Nitric Oxide.
Si-Yu QIN ; Rong-Yu LAN ; Jia ZENG ; Xue BAI ; Jing-Tao WANG ; Xiang-Lin YIN ; Rui-Jie QU ; Ming-Hai QU ; Hao JIANG ; Wen-Long LI ; Si-Ying PEI ; Zhi-Ling HOU ; Bao-Sheng GUAN ; Hong-Bin QIU
Acta Academiae Medicinae Sinicae 2023;45(4):666-671
Uric acid (UA) is the final product of purine metabolism in human body,and its metabolic disorder will induce hyperuricemia (HUA).The occurrence and development of HUA are associated with a variety of pathological mechanisms such as oxidative stress injury,activation of inflammatory cytokines,and activation of renin-angiotensin-aldosterone system.These mechanisms directly or indirectly affect the bioavailability of endogenous nitric oxide (NO).The decrease in NO bioavailability is common in the diseases with high concentration of UA as an independent risk factor.In this review,we summarize the mechanisms by which high concentrations of UA affect the endogenous NO bioavailability,with a focus on the mechanisms of high-concentration UA in decreasing the synthesis and/or increasing the consumption of NO.This review aims to provide references for alleviating the multisystem symptoms and improving the prognosis of HUA,and lay a theoretical foundation for in-depth study of the correlations between HUA and other metabolic diseases.
Humans
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Nitric Oxide
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Uric Acid
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Hyperuricemia
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Biological Availability
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Cytokines
6.Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population.
Meng Fan LIU ; Rui Xia MA ; Xian Bao CAO ; Hua ZHANG ; Shui Hong ZHOU ; Wei Hong JIANG ; Yan JIANG ; Jing Wu SUN ; Qin Tai YANG ; Xue Zhong LI ; Ya Nan SUN ; Li SHI ; Min WANG ; Xi Cheng SONG ; Fu Quan CHEN ; Xiao Shu ZHANG ; Hong Quan WEI ; Shao Qing YU ; Dong Dong ZHU ; Luo BA ; Zhi Wei CAO ; Xu Ping XIAO ; Xin WEI ; Zhi Hong LIN ; Feng Hong CHEN ; Chun Guang SHAN ; Guang Ke WANG ; Jing YE ; Shen Hong QU ; Chang Qing ZHAO ; Zhen Lin WANG ; Hua Bin LI ; Feng LIU ; Xiao Bo CUI ; Sheng Nan YE ; Zheng LIU ; Yu XU ; Xiao CAI ; Wei HANG ; Ru Xin ZHANG ; Yu Lin ZHAO ; Guo Dong YU ; Guang Gang SHI ; Mei Ping LU ; Yang SHEN ; Yu Tong ZHAO ; Jia Hong PEI ; Shao Bing XIE ; Long Gang YU ; Ye Hai LIU ; Shao wei GU ; Yu Cheng YANG ; Lei CHENG ; Jian Feng LIU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(6):579-588
Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
Female
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Humans
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Adolescent
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SARS-CoV-2
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Smell
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COVID-19/complications*
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Cross-Sectional Studies
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COVID-19 Vaccines
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Incidence
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Olfaction Disorders/etiology*
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Taste Disorders/etiology*
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Prognosis
7.EPOSTER • DRUG DISCOVERY AND DEVELOPMENT
Marwan Ibrahim ; Olivier D LaFlamme ; Turgay Akay ; Julia Barczuk ; Wioletta Rozpedek-Kaminska ; Grzegorz Galita ; Natalia Siwecka ; Ireneusz Majsterek ; Sharmni Vishnu K. ; Thin Thin Wi ; Saint Nway Aye ; Arun Kumar ; Grace Devadason ; Fatin Aqilah Binti Ishak ; Goh Jia Shen ; Dhaniya A/P Subramaniam ; Hiew Ke Wei ; Hong Yan Ren ; Sivalingam Nalliah ; Nikitha Lalindri Mareena Senaratne ; Chong Chun Wie ; Divya Gopinath ; Pang Yi Xuan ; Mohamed Ismath Fathima Fahumida ; Muhammad Imran Bin Al Nazir Hussain ; Nethmi Thathsarani Jayathilake ; Sujata Khobragade ; Htoo Htoo Kyaw Soe ; Soe Moe ; Mila Nu Nu Htay ; Rosamund Koo ; Tan Wai Yee ; Wong Zi Qin ; Lau Kai Yee ; Ali Haider Mohammed ; Ali Blebil ; Juman Dujaili ; Alicia Yu Tian Tan ; Cheryl Yan Yen Ng ; Ching Xin Ni ; Michelle Ng Yeen Tan ; Kokila A/P Thiagarajah ; Justin Jing Cherg Chong ; Yong Khai Pang ; Pei Wern Hue ; Raksaini Sivasubramaniam ; Fathimath Hadhima ; Jun Jean Ong ; Matthew Joseph Manavalan ; Reyna Rehan ; Tularama Naidu ; Hansi Amarasinghe ; Minosh Kumar ; Sdney Jia Eer Tew ; Yee Sin Chong ; Yi Ting Sim ; Qi Xuan Ng ; Wei Jin Wong ; Shaun Wen Huey Lee ; Ronald Fook Seng Lee ; Wei Ni Tay ; Yi Tan ; Wai Yew Yang ; Shu Hwa Ong ; Yee Siew Lim ; Siddique Abu Nowajish ; Zobaidul Amin ; Umajeyam Anbarasan ; Lim Kean Ghee ; John Pinto ; Quek Jia Hui ; Ching Xiu Wei ; Dominic Lim Tao Ran ; Philip George ; Chandramani Thuraisingham ; Tan Kok Joon ; Wong Zhi Hang ; Freya Tang Sin Wei ; Ho Ket Li ; Shu Shuen Yee ; Goon Month Lim ; Wen Tien Tan ; Sin Wei Tang
International e-Journal of Science, Medicine and Education 2022;16(Suppl1):21-37
8.Development of novel-nanobody-based lateral-flow immunochromatographic strip test for rapid detection of recombinant human interferon α2b
Xi QIN ; Maoqin DUAN ; Dening PEI ; Jian LIN ; Lan WANG ; Peng ZHOU ; Wenrong YAO ; Ying GUO ; Xiang LI ; Lei TAO ; Youxue DING ; Lan LIU ; Yong ZHOU ; Chuncui JIA ; Chunming RAO ; Junzhi WANG
Journal of Pharmaceutical Analysis 2022;12(2):308-316
Recombinant human interferon α2b(rhIFNα2b)is widely used as an antiviral therapy agent for the treatment of hepatitis B and hepatitis C.The current identification test for rhIFNα2b is complex.In this study,an anti-rhIFNα2b nanobody was discovered and used for the development of a rapid lateral flow strip for the identification of rhIFNα2b.RhIFNα2b was used to immunize an alpaca,which established a phage nanobody library.After five steps of enrichment,the nanobody I22,which specifically bound rhIFNα2b,was isolated and inserted into the prokaryotic expression vector pET28a.After subsequent purification,the physicochemical properties of the nanobody were determined.A semiquantitative detection and rapid identification assay of rhIFNα2b was developed using this novel nanobody.To develop a rapid test,the nanobody I22 was coupled with a colloidal gold to produce lateral-flow test strips.The developed rhIFNα2b detection assay had a limit of detection of 1 μg/mL.The isolation of I22 and successful construction of a lateral-flow immunochromatographic test strip demonstrated the feasibility of performing ligand-binding assays on a lateral-flow test strip using recombinant protein products.The principle of this novel assay is generally applicable for the rapid testing of other com-mercial products,with a great potential for routine use in detecting counterfeit recombinant protein products.
9.Application of pretrained model based on electronic medical record in recognition of acute respiratory infection.
Meng Meng JIA ; Xi Zhao LIU ; Li QI ; Pei Xi DAI ; Qin LI ; Minig Yue JIANG ; Wen Ge TANG ; Ming Wei TAN ; Ting Ting LI ; Bin Shan JIANG ; Yu Hua REN ; Jun Li RAO ; Zhao Yang YAN ; Yan Lin CAO ; Wei Zhong YANG ; Hua RAN ; Luzhao FENG
Chinese Journal of Preventive Medicine 2022;56(11):1543-1548
Objective: To evaluate the recognition of acute respiratory infection (ARI) by a pretrained model based on electronic medical records (EMRs). Methods: 38 581 EMRs were obtained from Chongqing University Three Gorges Hospital in December 2021. Bidirectional encoder representation from transformers (BERT) pretrained model was used to identify ARI in EMRs. The results of medical professionals were considered as the gold standard to calculate the sensitivity, specificity, Kappa value, and area under the curve of the receiver operating characteristic (AUC). Results: There were 3 817 EMRs in the test set, with 1 200 ARIs. A total of 1 205 cases were determined as ARI by the model, with a sensitivity of 92.67% (1 112/1 200) and a specificity of 96.45% (2 524/2 617). The model identified ARI with similar accuracy in males and females (AUCs 0.95 and 0.94, respectively), and was more accurate in identifying ARI cases in those aged less than 18 than in adults 18-59 and adults 60 and older (AUCs 0.94, 0.89 and 0.94, respectively). The current model had a better identification of ARIs in outpatient patients than that in hospitalized patients, with AUCs of 0.74 and 0.95, respectively. Conclusion: The use of the BERT pretrained model based on EMRs has a good performance in the recognition of ARI cases, especially for the outpatients and juveniles. It shows a great potential to be applied to the monitoring of ARI cases in medical institutions.
Adult
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Male
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Female
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Humans
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Electronic Health Records
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Respiratory Tract Infections/diagnosis*
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Outpatients
10.Association between body mass index and coronary heart disease in Qingdao: a prospective study.
Jia Hui SONG ; Chi PAN ; Fei Fei LI ; Xiao Jia XUE ; Yu GUO ; Pei PEI ; Xiao Cao TIAN ; Shao Jie WANG ; Ru Qin GAO ; Zeng Chang PANG ; Zhengming CHEN ; Liming LI
Chinese Journal of Epidemiology 2022;43(9):1357-1363
Objective: To analyze the association between body mass index (BMI) and coronary heart disease. Methods: The data for the present study were from the prospective cohort study of China Kadoorie Biobank (CKB) in Qingdao, a total of 33 355 participants aged 30-79 years were included in the study. Cox regression analyses were performed to evaluate the association between BMI and coronary heart disease. Results: During the follow-up for an average 9.2 years, a total of 2 712 cases of ischemic heart disease (IHD) and 420 cases of major coronary events (MCE) were found. Multivariate Cox regression analysis showed that, compared with participants with normal BMI, the participants who were overweight had a 41% and 87% higher risk of IHD and MCE, the adjusted HR were 1.41 (95%CI: 1.27-1.56) and 1.87 (95%CI: 1.43-2.44), respectively. The participants who were obesity had 91% and 143% higher risk of IHD and MCE, the adjusted HR were 1.91 (95%CI: 1.72-2.13) and 2.43 (95%CI: 1.82-3.24), respectively. Conclusion: Overweight and obesity might increase the risk for IHD and MCE.
Body Mass Index
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Coronary Disease/epidemiology*
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Humans
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Myocardial Ischemia/epidemiology*
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Obesity/epidemiology*
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Overweight/epidemiology*
;
Prospective Studies


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