1.Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine.
Xin-Ran DU ; Meng-Yi WU ; Mao-Can TAO ; Ying LIN ; Chao-Ying GU ; Min-Feng WU ; Yi CAO ; Da-Can CHEN ; Wei LI ; Hong-Wei WANG ; Ying WANG ; Yi WANG ; Han-Zhi LU ; Xin LIU ; Xiang-Fei SU ; Fu-Lun LI
Journal of Integrative Medicine 2025;23(6):641-653
Traditional Chinese medicine (TCM) is a well-accepted therapy for atopic dermatitis (AD). However, there are currently no evidence-based guidelines integrating TCM and Western medicine for the treatment of AD, limiting the clinical application of such combined approaches. Therefore, the China Association of Chinese Medicine initiated the development of the current guideline, focusing on key issues related to the use of TCM in the treatment of AD. This guideline was developed in accordance with the principles of the guideline formulation manual published by the World Health Organization. A comprehensive review of the literature on the combined use of TCM and Western medicine to treat AD was conducted. The findings were extensively discussed by experts in dermatology and pharmacy with expertise in both TCM and Western medicine. This guideline comprises 23 recommendations across seven major areas, including TCM syndrome differentiation and classification of AD, principles and application scenarios of TCM combined with Western medicine for treating AD, outcome indicators for evaluating clinical efficacy of AD treatment, integration of TCM pattern classification and Western medicine across disease stages, daily management of AD, the use of internal TCM therapies and proprietary Chinese medicines, and TCM external treatments. Please cite this article as: Du XR, Wu MY, Tao MC, Lin Y, Gu CY, Wu MF, Cao Y, Chen DC, Li W, Wang HW, Wang Y, Wang Y, Lu HZ, Liu X, Su XF, Li FL. Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine. J Integr Med. 2025; 23(6):641-653.
Dermatitis, Atopic/drug therapy*
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Humans
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Medicine, Chinese Traditional/methods*
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Integrative Medicine
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Drugs, Chinese Herbal/therapeutic use*
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Practice Guidelines as Topic
2.NFKBIE: Novel Biomarkers for Diagnosis, Prognosis, and Immunity in Colorectal Cancer: Insights from Pan-cancer Analysis.
Chen Yang HOU ; Peng WANG ; Feng Xu YAN ; Yan Yan BO ; Zhen Peng ZHU ; Xi Ran WANG ; Shan LIU ; Dan Dan XU ; Jia Jia XIAO ; Jun XUE ; Fei GUO ; Qing Xue MENG ; Ren Sen RAN ; Wei Zheng LIANG
Biomedical and Environmental Sciences 2025;38(10):1320-1325
3.Study on the potential allergen and mechanism of pseudo-allergic reactions induced by combined using of Reduning injection and penicillin G injection based on metabolomics and bioinformatics
Yu-long CHEN ; You ZHAI ; Xiao-yan WANG ; Wei-xia LI ; Hui ZHANG ; Ya-li WU ; Liu-qing YANG ; Xiao-fei CHEN ; Shu-qi ZHANG ; Lu NIU ; Ke-ran FENG ; Kun LI ; Jin-fa TANG ; Ming-liang ZHANG
Acta Pharmaceutica Sinica 2024;59(2):382-394
Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and
4.LI Fei's Experience in Treating Facial Paralysis with Acupuncture and Moxibustion
Xin-Hua ZHOU ; Wei-Ran LI ; Ke-Po WANG ; Fei LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(4):1041-1047
This article aims to analyze LI Fei's academic thinking and experience in treating facial paralysis.LI Fei proposes that the diagnosis and treatment of facial paralysis should follow the principle of"identify the cause of the disease when it is occured at first time,followed by exploring the pathogenesis of the disease,then differentiating the syndrome and treating the disease,and recognizing the syndrome and treating the disease",and that the basic treatment principle should be"dispelling wind and unblocking the collaterals,regulating the tendons and meridians".In clinical treatment,"put emphasis on anatomy,treat the disease according to symptoms"is the basic policy;meanwhile,integrating Chinese and western theories,combining the anatomical structure of the expression muscle,dynamically judging the recovery of nerves and muscles,and selecting the corresponding empirical acupoints according to the symptoms.LI Fei emphasizes the integration of theories and summarizes the"triple"methods of differentiation by reasoning,staging and symptoms,and the"triple"theory of treatment by regulating menstruation,tendon and spirit,which is worthy of reference in the clinic.
5.Exploring the risk "time interval window" of sequential medication of Reduning injection and penicillin G injection based on the correlation between biochemical indexes and metabolomics characteristics
Ming-liang ZHANG ; Yu-long CHEN ; Xiao-yan WANG ; Xiao-fei CHEN ; Hui ZHANG ; Ya-li WU ; Liu-qing YANG ; Shu-qi ZHANG ; Lu NIU ; Ke-ran FENG ; Wei-xia LI ; Jin-fa TANG
Acta Pharmaceutica Sinica 2024;59(7):2098-2107
Exploring the risk "time interval window" of sequential medication of Reduning injection (RDN) and penicillin G injection (PG) by detecting the correlation between serum biochemical indexes and plasma metabonomic characteristics, in order to reduce the risk of adverse reactions caused by the combination of RDN and PG. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). The changes of biochemical indexes in serum of rats were detected by enzyme-linked immunosorbent assay. It was determined that RDN combined with PG could cause pseudo-allergic reactions (PARs) activated by complement pathway. Further investigation was carried out at different time intervals (1.5, 2, 3.5, 4, 6, and 8 h PG+RDN). It was found that sequential administration within 3.5 h could cause significant PARs. However, PARs were significantly reduced after administration interval of more than 4 h. LC-MS was used for plasma metabolomics analysis, and the levels of serum biochemical indicators and plasma metabolic profile characteristics were compared in parallel. 22 differential metabolites showed similar or opposite trends to biochemical indicators before and after 3.5 h. And enriched to 10 PARs-related pathways such as arachidonic acid metabolism, steroid hormone biosynthesis, linoleic acid metabolism, glycerophospholipid metabolism, and tryptophan metabolism. In conclusion, there is a risk "time interval window" phenomenon in the adverse drug reactions caused by the sequential use of RDN and PG, and the interval medication after the "time interval window" can significantly reduce the risk of adverse reactions.
6.CT radiomics for differentiating spinal bone island and osteoblastic bone metastases
Xin WEN ; Liping ZUO ; Yong WANG ; Ziyu TIAN ; Fei LU ; Shuo SHI ; Lingyu CHANG ; Yu JI ; Ran ZHANG ; Dexin YU
Chinese Journal of Medical Imaging Technology 2024;40(5):758-763
Objective To observe the value of CT radiomics for differentiating spinal bone islands(BI)and osteoblastic metastases(OBM).Methods Data of 109 BI lesions in 98 patients and 282 OBM lesions in 158 patients(including 103 OBM in 48 lung cancer cases,86 OBM in 52 breast cancer cases and 93 OBM in 58 prostate cancer cases)from 3 medical institutions were retrospectively analyzed.Data obtained from institution 1 were used as the internal dataset and divided into internal training set and internal validation set at a ratio of 7∶3,from institution 2 and 3 were used as external dataset.All datasets were divided into female data subset(including OBM of female lung cancer and breast cancer)and male data subset(including OBM of male lung cancer and prostate cancer).Radiomics features were extracted and screened to construct 3 different support vector machine(SVM)models,including model1 for distinguishing BI and OBM,model2 for differentiating OBM of female lung cancer and breast cancer,and model3 for differentiating OBM of male lung cancer and prostate cancer.Diagnostic efficacy of model1,CT value alone and 3 physicians(A,B,C)for distinguishing BI and OBM were assessed,as well as differentiating efficacy for different OBM of model2 and model3.Receiver operating characteristic(ROC)curves were drawn,and area under the curves(AUC)were calculated and compared.The differential diagnostic efficacy of model2 and model3 were also assessed with ROC analysis and AUC.Results AUC of model1 for distinguishing spinal OBM from BI in internal training set,internal validation set and external dataset was 0.99,0.98 and 0.86,respectively.In internal training set,model1 had higher AUC for distinguishing BI and OBM than that of physician A(AUC=0.78),B(AUC=0.87)and C(AUC=0.93)as well as that of mean CT value(AUC=0.78,all P<0.05).AUC in internal training set,internal validation set and external dataset of model2 for identifying female lung cancer and breast cancer OBM was 0.79,0.75 and 0.73,respectively,of model3 for discriminating male lung cancer from prostate cancer OBM was 0.77,0.74 and 0.77,respectively.Conclusion CT radiomics SVM model might reliablely distinguish OBM and BI.
7.MTHFD2 Is a Negative Regulatory Molecule for the Formation of Heterotypic Cell-in-Cell Structures
Peng-Fei FENG ; Chen-Yu LIU ; Yi-Nuo HUANG ; Zhuo-Ran SUN ; Yang-Yi ZHANG ; Hong-Yan HUANG ; Chen-Xi WANG ; Xiao-Ning WANG
Chinese Journal of Biochemistry and Molecular Biology 2024;40(6):819-826
Heterotypic cell-in-cell structures(heCICs)mediate unique non-autonomous cell death,which are widely involved in a variety of important pathological processes,such as tumorigenesis,pro-gression and clinical prognosis.Methylenetetrahydrofolata dehydrogenase 2(MTHFD2),one of the key enzymes of one-carbon metabolism,is highly expressed in a variety of tumor cells.In this study,in order to investigate the effect of MTHFD2 on the formation of heCICs,liver cancer cells and immune cells were first labeled separately by live cell dyes,and the heCIC model was established by using fluorescence mi-croscopy for cell imaging and analysis.After transiently knocking down MTHFD2 in cells by RNAi,we found that the ability of PLC/PRF/5 and Hep3B to form heCICs with immune cells was significantly in-creased(all P<0.01).MTHFD2 recombinant expression plasmid was constructed by the homologous re-combination method,and MTHFD2 overexpression cell lines were further constructed.Then,the effect of MTHFD2 overexpression on the ability to form heCICs was detected by co-culturing the overexpression cell lines with immune cells.The results showed that the rate of heCIC formation was significantly re-duced after overexpression of MTHFD2(all P<0.001).In conclusion,this study demonstrated that MTHFD2 is a negative regulator of heCIC formation,providing a research basis for targeting MTHFD2 to promote heCIC formation and enhance the in-cell killing of immune cells.
9.Clinical practice of whole-genome sequencing in the rapid diagnosis of critically ill neonates.
Fei-Fan XIAO ; Yu-Lan LU ; Bing-Bing WU ; Xin-Ran DONG ; Guo-Qiang CHENG ; Li-Yuan HU ; Wen-Hao ZHOU ; Xiao-Min PENG ; Lin YANG ; Hui-Jun WANG
Chinese Journal of Contemporary Pediatrics 2023;25(2):135-139
OBJECTIVES:
To explore the application of whole-genome sequencing (WGS) in the rapid clinical diagnosis of critically ill neonates.
METHODS:
The critically ill neonates who admitted to the neonatal intensive care unit of Children's Hospital of Fudan University and underwent WGS from August to September, 2019 were enrolled in this prospective study. The genetic testing results and clinical outcome were analyzed with reference to the sequencing data and clinical features of the neonates.
RESULTS:
A total of 15 neonates were tested, among whom there were 9 boys and 6 girls. The main reason for hospitalization included abnormal breathing in 7 neonates, poor response in 2 neonates, feeding difficulty in 2 neonates, fever in 1 neonate, hypothermia in 1 neonate, preterm birth in 1 neonate, and convulsion in 1 neonate. The mean turn-around time was 4.5 days for WGS. Finally a genetic diagnosis was obtained for 3 neonates, with a positive diagnostic rate of 20% (3/15). Among the 3 neonates, 2 neonates were withdrawn from the treatment due to severe conditions and 1 neonate died on the day when the sample was sent for genetic testing, whose etiology could be explained by the results of genetic testing.
CONCLUSIONS
WGS technique can provide a timely and effective diagnosis for critically ill neonates suspected of genetic diseases and provide genetic evidence for clinical treatment of critically ill cases.
Infant, Newborn
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Male
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Child
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Female
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Humans
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Critical Illness
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Prospective Studies
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Premature Birth
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Dyspnea
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Fever
10.Influencing factors and risk prediction model for depression in primary school children aged 9-10 years in Jiangsu Province
Guangjun JI ; Shisen QIN ; Rongxun LIU ; Chenghao JIA ; Ning WANG ; Dongshuai WEI ; Fengyi LIU ; Luhan YANG ; Yange WEI ; Yang WANG ; Ran ZHANG ; Fei WANG ; Jie YANG
Chinese Journal of Applied Clinical Pediatrics 2023;38(10):774-778
Objective:To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province, and to construct a risk prediction model.Methods:A retrospective study.A total of 1 162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected, and they were surveyed by the Depression Anxiety Stress Scales-21 (DASS-21), the Strengths and Difficulties Questionnaire (SDQ), and the Family Environment Scale (FES). Children were divided into control group (1 059 cases) and depression group (103 cases) based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model. Results:There were significant differences in the economic development region, physical activities, academic performance, student cadres, parents′ education level, frequency of parental quarrels, SDQ and FES dimension scores between control group and depression group (all P<0.05). Among them, economic development areas (Northern Jiangsu and Southern Jiangsu), student cadres, father′s education level (elementary school and below) and intimacy of the FES scale were protective factors for depression in elementary school children; while emotional symptoms, peer problems and the total difficulty score in the SDQ scale, and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors: Logit ( P)=-1.390×economic development area (Northern Jiangsu) -1.508×economic development area (Southern Jiangsu) -1.248×student cadres -2.206×father′s education level (primary school and below) -1.145×father′s education level (junior high school)+ 3.316×emotional symptoms in the SDQ+ 0.979×peer problems in the SDQ+ 2.520×total difficulty score in the SDQ -1.697×cohesion in the FES + 0.760×conflict in the FES -0.678.The area under the curve of receiver operating characteristic was 0.931, with the sensitivity and specificity of 85.42% and 91.83%, respectively. Conclusions:The regional level of economic development, class or school cadres, father′s education level, peer problems, total difficulty score, cohesion and conflict in the family are influencing factors for depression among primary school children aged 9-10 years in Jiangsu Province.The created prediction model can effectively assess the depressive risk factors in this population, which is conductive to achieve the early recognition and intervention of depression in them.

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