1.Experts consensus on standard items of the cohort construction and quality control of temporomandibular joint diseases (2024)
Min HU ; Chi YANG ; Huawei LIU ; Haixia LU ; Chen YAO ; Qiufei XIE ; Yongjin CHEN ; Kaiyuan FU ; Bing FANG ; Songsong ZHU ; Qing ZHOU ; Zhiye CHEN ; Yaomin ZHU ; Qingbin ZHANG ; Ying YAN ; Xing LONG ; Zhiyong LI ; Yehua GAN ; Shibin YU ; Yuxing BAI ; Yi ZHANG ; Yanyi WANG ; Jie LEI ; Yong CHENG ; Changkui LIU ; Ye CAO ; Dongmei HE ; Ning WEN ; Shanyong ZHANG ; Minjie CHEN ; Guoliang JIAO ; Xinhua LIU ; Hua JIANG ; Yang HE ; Pei SHEN ; Haitao HUANG ; Yongfeng LI ; Jisi ZHENG ; Jing GUO ; Lisheng ZHAO ; Laiqing XU
Chinese Journal of Stomatology 2024;59(10):977-987
Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.
2.2-(2-Phenylethyl)chromones from agarwood of Aquilaria agallocha and their inhibitory activity against KRAS mutant NSCLC
Bao-juan XING ; Yi-fan FU ; He CUI ; Qian ZHOU ; Zhi-kang WANG ; Peng CAO ; Fa-ping BAI ; Xue-ting CAI
Acta Pharmaceutica Sinica 2024;59(9):2519-2528
The 2-(2-phenylethyl)chromones were separated from agarwood of
3.Inheritance,Innovation and Research Application of Lingnan Liver-Soothing and Spirit-Regulating Acupuncture and Moxibustion Technique
Wen-Bin FU ; Bai-Le NING ; Qian WU ; Cong WANG ; Rui MA ; Ding LUO ; Jun-He ZHOU ; Xue-Song LIANG ; Shan-Ze WANG
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(10):2740-2745
The lingnan liver-soothing and spirit-regulating acupuncture and moxibustion technique,developed by Professor FU Wen-Bin,a renowned traditional Chinese medicine expert in Guangdong Province,represents an innovative achievement in acupuncture therapy for depression-related disorders.Drawing upon the rich legacy of master scholars,meticulous study of medical literature,and over three decades of continuous research and innovation,Professor FU has formulated this technique with profound influence and widespread application.By tracing the developmental trajectory of the Lingnan liver-soothing and spirit-regulating technique,this paper sheds light on its significant guiding principles and reference value for the development of other distinctive acupuncture techniques.Furthermore,it offers insights and inspiration for advancement in various fields of traditional Chinese medicine.
4.Study on the features of Clostridioides difficile infection among diarrhea patients in Kunming from 2018 to 2020.
Gui Man LI ; Wen Peng GU ; Min HOU ; Sen Quan JIA ; Yuan Yuan WANG ; Lu Lu BAI ; Jian Wen YIN ; Yong Ming ZHOU ; Xiao Qing FU ; Jin Xing LU ; Yuan WU
Chinese Journal of Epidemiology 2023;44(4):624-628
Objective: We analyze the characteristics of Clostridioides difficile (C. difficile) infection among diarrhea patients in Kunming from 2018 to 2020 and provide evidence for follow-up surveillance and prevention. Methods: A total of 388 fecal samples of diarrhea patients from four sentinel hospitals in Yunnan Province from 2018 to 2020 were collected. Real-time quantitative PCR was used to detect the fecal toxin genes of C. difficile. The positive fecal samples isolated the bacteria, and isolates were identified by mass spectrometry. The genomic DNA of the strains was extracted for multi-locus sequence typing (MLST). The fecal toxin, strain isolation, and clinical patient characteristics, including co-infection with other pathogens, were analyzed. Results: Among the 388 fecal samples, 47 samples with positive reference genes of C. difficile were positive, with a total positive rate of 12.11%. There were 4 (8.51%) non-toxigenic and 43 (91.49%) toxigenic ones. A total of 18 strains C. difficile were isolated from 47 positive specimens, and the isolation rate of positive specimens was 38.30%. Among them, 14 strains were positive for tcdA, tcdB, tcdC, tcdR, and tcdE. All 18 strains of C. difficile were negative for binary toxins. The MLST results showed 10 sequence types (ST), including 5 strains of ST37, accounting for 27.78%; 2 strains of ST129, ST3, ST54, and ST2, respectively; and 1 strain of ST35, ST532, ST48, ST27, and ST39, respectively. Fecal toxin gene positive (tcdB+) results were statistically associated with the patient's age group and with or without fever before the visit; positive isolates were only statistically associated with the patient's age group. In addition, some C. difficile patients have co-infection with other diarrhea-related viruses. Conclusions: The infection of C. difficile in diarrhea patients in Kunming is mostly toxigenic strains, and the high diversity of strains was identified using the MLST method. Therefore, the surveillance and prevention of C. difficile should be strengthened.
Humans
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Bacterial Toxins/genetics*
;
Enterotoxins/genetics*
;
Clostridioides difficile/genetics*
;
Multilocus Sequence Typing
;
Coinfection
;
Bacterial Proteins/genetics*
;
China/epidemiology*
;
Clostridium Infections/epidemiology*
;
Diarrhea/microbiology*
5.Comparisons of the efficacy of drug injections for the treatment of keloid: a network meta-analysis
Hongfan DING ; Xiao XU ; Shiyi LI ; Yichen WANG ; Qian WU ; Ruiqi BAI ; Guiwen ZHOU ; Qiang FU ; Yue LIU ; Minliang CHEN
Chinese Journal of Plastic Surgery 2023;39(12):1311-1323
Objective:To conduct a network meta-analysis comparing the efficacy and safety of various drug injections for treating keloids.Methods:The search terms of "triamcinolone acetonide, 5-fluorouracil, verapamil, botulinum toxin, platelet rich plasma, keloid, scar, drug injection" were retrieved in PubMed, Embase, Web of Science, CNKI and Wanfang database to obtain the publicly published randomized controlled trials comparing single or combined drug injection for treating keloid from January 2010 to February 2023. The outcome index was the effective proportion of treatment, incidence proportion of adverse reactions, and recurrence proportion. NoteExpress, RevMan 5.4, and Stata 16.0 statistical software were utilized to perform a network meta-analysis of eligible studies that met the inclusion and exclusion criteria.Results:A total of 1 679 patients were enrolled in 21 studies that evaluated nine treatment modalities: triamcinolone (TAC), 5-fluorouracil (5-FU), botulinum toxin type A (BTA), platelet-rich plasma (PRP), Verapamil, BTA+ 5-FU, TAC+ 5-FU, TAC+ BTA, and TAC+ PRP. The network diagram revealed that there were 36 pairwise comparisons among the 9 treatment measures, with direct comparisons in 13 of them. The funnel plot demonstrated a symmetrical distribution of effect size points, and both Beggs test and Eggers test yielded P values greater than 0.05, indicating a low likelihood of publication bias. Nine treatment measures formed five closed loops with good consistency. The result of the network meta-analysis indicated that BTA+ 5-FU was more effective than TAC, 5-FU, or PRP alone; TAC+ 5-FU was more effective than TAC, 5-FU, or PRP alone; TAC+ BTA was more effective than TAC, 5-FU, BTA, or PRP alone; Verapamil was more effective than 5-FU and BTA was more effective than 5-FU. All result were found to be statistically significant ( P<0.05). A surface under the cumulative ranking area (SUCRA) map was generated, displaying the efficacy ranking and corresponding SUCRA values for each treatment: BTA+ 5-FU (85.6%)>TAC+ 5-FU (84.8%)>BTA+ TAC (76.7%)>Verapamil (48.9%)>BTA (45.0%)>TAC+ PRP (43.8%)>PRP (32.1%)>TAC (24.7%)>5-FU(8.3%). In terms of recurrence rate, the incidence of recurrence was higher with 5-FU compared to BTA or TAC+ 5-FU, and the incidence of recurrence was higher with TAC compared to TAC+ 5-FU; these differences were statistically significant ( P<0.05). A SUCRA map was generated with the ranking and SUCRA value for each treatment as follows: 5-FU (80.4%)>TAC (73.5%)>Verapamil (65.7%)>TAC+ BTA (52.5%)>PRP (34.8%)>BTA+ 5-FU (33.7%)>TAC+ 5-FU (30.2%)>BTA (29.3%). The qualitative analysis revealed a significantly lower incidence of systemic and local adverse reactions following combined drug injection compared to single drug injection. Conclusion:In the treatment of keloids using drug injection, combination therapy utilizing multiple drugs has demonstrated superior efficacy, lower recurrence rates, and fewer adverse reactions in comparison to single-drug therapy. Notably, the utilization of BAT, 5-FU, and TAC in combination may yield the most favorable outcomes.
6.Comparisons of the efficacy of drug injections for the treatment of keloid: a network meta-analysis
Hongfan DING ; Xiao XU ; Shiyi LI ; Yichen WANG ; Qian WU ; Ruiqi BAI ; Guiwen ZHOU ; Qiang FU ; Yue LIU ; Minliang CHEN
Chinese Journal of Plastic Surgery 2023;39(12):1311-1323
Objective:To conduct a network meta-analysis comparing the efficacy and safety of various drug injections for treating keloids.Methods:The search terms of "triamcinolone acetonide, 5-fluorouracil, verapamil, botulinum toxin, platelet rich plasma, keloid, scar, drug injection" were retrieved in PubMed, Embase, Web of Science, CNKI and Wanfang database to obtain the publicly published randomized controlled trials comparing single or combined drug injection for treating keloid from January 2010 to February 2023. The outcome index was the effective proportion of treatment, incidence proportion of adverse reactions, and recurrence proportion. NoteExpress, RevMan 5.4, and Stata 16.0 statistical software were utilized to perform a network meta-analysis of eligible studies that met the inclusion and exclusion criteria.Results:A total of 1 679 patients were enrolled in 21 studies that evaluated nine treatment modalities: triamcinolone (TAC), 5-fluorouracil (5-FU), botulinum toxin type A (BTA), platelet-rich plasma (PRP), Verapamil, BTA+ 5-FU, TAC+ 5-FU, TAC+ BTA, and TAC+ PRP. The network diagram revealed that there were 36 pairwise comparisons among the 9 treatment measures, with direct comparisons in 13 of them. The funnel plot demonstrated a symmetrical distribution of effect size points, and both Beggs test and Eggers test yielded P values greater than 0.05, indicating a low likelihood of publication bias. Nine treatment measures formed five closed loops with good consistency. The result of the network meta-analysis indicated that BTA+ 5-FU was more effective than TAC, 5-FU, or PRP alone; TAC+ 5-FU was more effective than TAC, 5-FU, or PRP alone; TAC+ BTA was more effective than TAC, 5-FU, BTA, or PRP alone; Verapamil was more effective than 5-FU and BTA was more effective than 5-FU. All result were found to be statistically significant ( P<0.05). A surface under the cumulative ranking area (SUCRA) map was generated, displaying the efficacy ranking and corresponding SUCRA values for each treatment: BTA+ 5-FU (85.6%)>TAC+ 5-FU (84.8%)>BTA+ TAC (76.7%)>Verapamil (48.9%)>BTA (45.0%)>TAC+ PRP (43.8%)>PRP (32.1%)>TAC (24.7%)>5-FU(8.3%). In terms of recurrence rate, the incidence of recurrence was higher with 5-FU compared to BTA or TAC+ 5-FU, and the incidence of recurrence was higher with TAC compared to TAC+ 5-FU; these differences were statistically significant ( P<0.05). A SUCRA map was generated with the ranking and SUCRA value for each treatment as follows: 5-FU (80.4%)>TAC (73.5%)>Verapamil (65.7%)>TAC+ BTA (52.5%)>PRP (34.8%)>BTA+ 5-FU (33.7%)>TAC+ 5-FU (30.2%)>BTA (29.3%). The qualitative analysis revealed a significantly lower incidence of systemic and local adverse reactions following combined drug injection compared to single drug injection. Conclusion:In the treatment of keloids using drug injection, combination therapy utilizing multiple drugs has demonstrated superior efficacy, lower recurrence rates, and fewer adverse reactions in comparison to single-drug therapy. Notably, the utilization of BAT, 5-FU, and TAC in combination may yield the most favorable outcomes.
7.A multicenter epidemiological study of acute bacterial meningitis in children.
Cai Yun WANG ; Hong Mei XU ; Jiao TIAN ; Si Qi HONG ; Gang LIU ; Si Xuan WANG ; Feng GAO ; Jing LIU ; Fu Rong LIU ; Hui YU ; Xia WU ; Bi Quan CHEN ; Fang Fang SHEN ; Guo ZHENG ; Jie YU ; Min SHU ; Lu LIU ; Li Jun DU ; Pei LI ; Zhi Wei XU ; Meng Quan ZHU ; Li Su HUANG ; He Yu HUANG ; Hai Bo LI ; Yuan Yuan HUANG ; Dong WANG ; Fang WU ; Song Ting BAI ; Jing Jing TANG ; Qing Wen SHAN ; Lian Cheng LAN ; Chun Hui ZHU ; Yan XIONG ; Jian Mei TIAN ; Jia Hui WU ; Jian Hua HAO ; Hui Ya ZHAO ; Ai Wei LIN ; Shuang Shuang SONG ; Dao Jiong LIN ; Qiong Hua ZHOU ; Yu Ping GUO ; Jin Zhun WU ; Xiao Qing YANG ; Xin Hua ZHANG ; Ying GUO ; Qing CAO ; Li Juan LUO ; Zhong Bin TAO ; Wen Kai YANG ; Yong Kang ZHOU ; Yuan CHEN ; Li Jie FENG ; Guo Long ZHU ; Yan Hong ZHANG ; Ping XUE ; Xiao Qin LI ; Zheng Zhen TANG ; De Hui ZHANG ; Xue Wen SU ; Zheng Hai QU ; Ying ZHANG ; Shi Yong ZHAO ; Zheng Hong QI ; Lin PANG ; Cai Ying WANG ; Hui Ling DENG ; Xing Lou LIU ; Ying Hu CHEN ; Sainan SHU
Chinese Journal of Pediatrics 2022;60(10):1045-1053
Objective: To analyze the clinical epidemiological characteristics including composition of pathogens , clinical characteristics, and disease prognosis acute bacterial meningitis (ABM) in Chinese children. Methods: A retrospective analysis was performed on the clinical and laboratory data of 1 610 children <15 years of age with ABM in 33 tertiary hospitals in China from January 2019 to December 2020. Patients were divided into different groups according to age,<28 days group, 28 days to <3 months group, 3 months to <1 year group, 1-<5 years of age group, 5-<15 years of age group; etiology confirmed group and clinically diagnosed group according to etiology diagnosis. Non-numeric variables were analyzed with the Chi-square test or Fisher's exact test, while non-normal distrituction numeric variables were compared with nonparametric test. Results: Among 1 610 children with ABM, 955 were male and 650 were female (5 cases were not provided with gender information), and the age of onset was 1.5 (0.5, 5.5) months. There were 588 cases age from <28 days, 462 cases age from 28 days to <3 months, 302 cases age from 3 months to <1 year of age group, 156 cases in the 1-<5 years of age and 101 cases in the 5-<15 years of age. The detection rates were 38.8% (95/245) and 31.5% (70/222) of Escherichia coli and 27.8% (68/245) and 35.1% (78/222) of Streptococcus agalactiae in infants younger than 28 days of age and 28 days to 3 months of age; the detection rates of Streptococcus pneumonia, Escherichia coli, and Streptococcus agalactiae were 34.3% (61/178), 14.0% (25/178) and 13.5% (24/178) in the 3 months of age to <1 year of age group; the dominant pathogens were Streptococcus pneumoniae and the detection rate were 67.9% (74/109) and 44.4% (16/36) in the 1-<5 years of age and 5-<15 years of age . There were 9.7% (19/195) strains of Escherichia coli producing ultra-broad-spectrum β-lactamases. The positive rates of cerebrospinal fluid (CSF) culture and blood culture were 32.2% (515/1 598) and 25.0% (400/1 598), while 38.2% (126/330)and 25.3% (21/83) in CSF metagenomics next generation sequencing and Streptococcus pneumoniae antigen detection. There were 4.3% (32/790) cases of which CSF white blood cell counts were normal in etiology confirmed group. Among 1 610 children with ABM, main intracranial imaging complications were subdural effusion and (or) empyema in 349 cases (21.7%), hydrocephalus in 233 cases (14.5%), brain abscess in 178 cases (11.1%), and other cerebrovascular diseases, including encephalomalacia, cerebral infarction, and encephalatrophy, in 174 cases (10.8%). Among the 166 cases (10.3%) with unfavorable outcome, 32 cases (2.0%) died among whom 24 cases died before 1 year of age, and 37 cases (2.3%) had recurrence among whom 25 cases had recurrence within 3 weeks. The incidences of subdural effusion and (or) empyema, brain abscess and ependymitis in the etiology confirmed group were significantly higher than those in the clinically diagnosed group (26.2% (207/790) vs. 17.3% (142/820), 13.0% (103/790) vs. 9.1% (75/820), 4.6% (36/790) vs. 2.7% (22/820), χ2=18.71, 6.20, 4.07, all P<0.05), but there was no significant difference in the unfavorable outcomes, mortility, and recurrence between these 2 groups (all P>0.05). Conclusions: The onset age of ABM in children is usually within 1 year of age, especially <3 months. The common pathogens in infants <3 months of age are Escherichia coli and Streptococcus agalactiae, and the dominant pathogen in infant ≥3 months is Streptococcus pneumoniae. Subdural effusion and (or) empyema and hydrocephalus are common complications. ABM should not be excluded even if CSF white blood cell counts is within normal range. Standardized bacteriological examination should be paid more attention to increase the pathogenic detection rate. Non-culture CSF detection methods may facilitate the pathogenic diagnosis.
Adolescent
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Brain Abscess
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Child
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Child, Preschool
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Escherichia coli
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Female
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Humans
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Hydrocephalus
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Infant
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Infant, Newborn
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Male
;
Meningitis, Bacterial/epidemiology*
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Retrospective Studies
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Streptococcus agalactiae
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Streptococcus pneumoniae
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Subdural Effusion
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beta-Lactamases
8.Metabolomics based protective effect of Amygdalus mongolica on pulmonary fibrosis in rats
Jia-qi LIU ; Hong-bing ZHOU ; Bo-wen QUAN ; Wan-fu BAI ; Jia WANG ; Ying-chun BAI ; Hong CHANG ; Song-li SHI
Acta Pharmaceutica Sinica 2022;57(8):2484-2493
This study used pharmacology combined with metabolomics to explore the effect of
9.Professor
Wen FU ; Meng-Yu WANG ; Bai-le NING ; Peng ZHOU ; Wen-Bin FU
Chinese Acupuncture & Moxibustion 2021;41(10):1140-1144
The paper summarizes the ideas and characteristics of acupoint selection in treatment of mental disorder with acupuncture and moxibustion by professor
Acupuncture Points
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Acupuncture Therapy
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Humans
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Mental Disorders/therapy*
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Meridians
;
Moxibustion
10.Construction and verification of an intelligent measurement model for diabetic foot ulcer.
Nan ZHAO ; Qiuhong ZHOU ; Jianzhong HU ; Weihong HUANG ; Jingcan XU ; Min QI ; Min PENG ; Wenjing LUO ; Xinyi LI ; Jiaojiao BAI ; Liaofang WU ; Ling YU ; Xiaoai FU
Journal of Central South University(Medical Sciences) 2021;46(10):1138-1146
OBJECTIVES:
The measurement of diabetic foot ulcers is important for the success in diabetic foot ulcer management. At present, it lacks the accurate and convenient measurement tools in clinical. In recent years, artificial intelligence technology has demonstrated the potential application value in the field of image segmentation and recognition. This study aims to construct an intelligent measurement model of diabetic foot ulcers based on the deep learning method, and to conduct preliminary verification.
METHODS:
The data of 1 042 diabetic foot ulcers clinical samples were collected. The ulcers and color areas were manually labeled, of which 782 were used as the training data set and 260 as the test data set. The Mask RCNN ulcer tissue color semantic segmentation and RetinaNet scale digital scale target detection were used to build a model. The training data set was input into the model and iterated. The test data set was used to verify the intelligent measurement model.
RESULTS:
This study established an intelligent measurement model of diabetic foot ulcers based on deep learning. The mean average precision@.5 intersection over union (mAP@.5IOU) of the color region segmentation in the training set and the test set were 87.9% and 63.9%, respectively; the mAP@.5IOU of the ruler scale digital detection in the training set and the test set were 96.5% and 83.4%, respectively. Compared with the manual measurement result of the test sample, the average error of the intelligent measurement result was about 3 mm.
CONCLUSIONS
The intelligent measurement model has good accuracy and robustness in measuring the diabetic foot ulcers. Future research can further optimize the model with larger-scale data samples.
Artificial Intelligence
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Diabetes Mellitus
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Diabetic Foot
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Humans

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