1.Exploring Vascular Recruitment in Tracheobronchial Adenoid Cystic Carcinoma from Perspective of Abnormal Collateral
Jun TENG ; Lei LI ; Junyan XIA ; Yi LUO ; Qinyan HONG ; Shuiping CHEN ; Hongwu WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(6):260-269
Tracheobronchial adenoid cystic carcinoma (TACC) is a low-grade malignant tumor originating from the airway mucosa. Despite its slow progression,it is characterized by high invasiveness,frequent recurrence,and a strong tendency for metastasis. Preclinical studies have shown that vascular-targeted therapy holds significant potential. However,an effective systemic treatment for TACC has not been established yet. This study explored TACC from the perspective of "Feiji" in traditional Chinese medicine (TCM) as the starting point. It deeply investigated the mechanisms of abnormal collaterals and tumor vascular recruitment and further elaborated on the theoretical connection between abnormal collaterals and tumor vascular recruitment. Firstly,collateral hyperactivity led to disordered and erratic pulmonary collaterals. Their abnormal structures were similar to the disorderly and tortuous nature of tumor (pseudo)angiogenesis. This resulted in imbalances in the functions of circulation,perfusion,and reverse injection of the pulmonary collaterals,and then led to unrestrained collateral dysfunction and the accumulation of pathogenic factors. Secondly,the remodeling of the extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) in TACC were critical processes in vascular co-option (VCO),representing the micro-level manifestation of the displacement of nutrient and defense. During this process,ECM remodeling made TACC cells more likely to hijack normal blood vessels,creating a complex vascular microenvironment conducive to tumor growth. In terms of treatment,this study proposed a TCM strategy of "regulating collaterals to expel pathogenic factors and nourishing collaterals to strengthen the healthy Qi",and listed potential TCM. These were intended to regulate the Qi and blood in the collaterals,repair the functions of abnormal collaterals,and intervene in the vascular recruitment process of TACC. Future research should focus on improving the TCM clinical syndrome characteristics of TACC. Through modern molecular biology techniques,it is necessary to deeply analyze the micro-level pattern of vascular recruitment in TACC. This would enrich the understanding of the profound connection between abnormal collaterals and tumor vascular recruitment,providing empirical evidence for TCM-targeted therapies for vascular recruitment in TACC.
2.Spinal curvature abnormalities and related factors among primary and secondary school students in Guangxi in 2023
LUO Yuemei, LI Yan, REN Yiwen, DONG Yonghui, CHEN Li, ZHANG Dengcheng, ZHANG Yi, MA Jun, DONG Yanhui
Chinese Journal of School Health 2025;46(5):712-716
Objective:
To investigate the prevalence and associated factors of spinal curvature abnormalities among primary and secondary school students in the Guangxi Zhuang Autonomous Region, so as to provide a scientific basis for the prevention and control of such abnormalities.
Methods:
From September to November 2023, adopting a stratified cluster random sampling method, spinal curvature screenings and questionnaire surveys were conducted among 168 931 students from grade 4 of primary school to grade 12 of high school in 111 districts and counties across 14 cities in Guangxi. Chi square tests and binary Logistic regression analysis were used to analyze influencing factors of spinal curvature abnormalities.
Results:
In 2023, the detection rate of poor posture among students above grade 4 in Guangxi was 4.24% , and the detection rate of spinal curvature abnormalities was 2.13%. The detection rate was higher among urban students (2.84%) than rural students (1.66%), boarding students (2.61%) than non-boarding students (1.60%), and high school students (3.16%) than junior high (2.45%) and primary school students (1.15%), and the differences were statistically significant ( χ 2=269.85, 221.44, 565.10, P <0.01). A trend of increasing detection rates with higher grade levels was observed ( χ 2 trend =617.63, P <0.01). Binary Logistic regression analysis indicated that students without boarding at school ( OR =0.82, 95% CI =0.75-0.90), engaging in high-intensity physical activity for over 60 min per day ≥5 days per week ( OR =0.90, 95% CI =0.82-0.98), and adequate sleep ( OR =0.87, 95% CI =0.81-0.94) had lower risks of detecting spinal curvature abnormalities ( P <0.05).
Conclusions
The prevalence of spinal curvature abnormalities increases with grade level among primary and secondary school students in Guangxi. Regular moderate-to-vigorous physical activity demonstrates protective effects against spinal abnormalities.
3.Association of habitual reading and writing postures with common diseases and comorbidities among children and adolescents in Ningxia
WEI Rong, LUO Haiyan, MA Ning, ZHAO Yu, YANG Yi, CHEN Yaogeng
Chinese Journal of School Health 2025;46(5):723-727
Objective:
To investigate the association between habitual reading/writing postures and the co-occurrence of common health conditions (overweight/obesity, visual impairment, hypertension, and scoliosis) and comorbidities among children and adolescents, in order to provide data support for the joint prevention of common diseases and comorbidities among children and adolescents.
Methods:
From September 2021 to June 2022, a multi-stage cluster random sampling method was used to select a total of 4 577 children and adolescents from 16 primary and secondary schools in Ningxia: Jinfeng District of Yinchuan City, Shapotou District of Zhongwei City, Yanchi County of Wuzhong City, and Pingluo County of Shizuishan City. A weighted complex sampling design was used to investigate the association of habitual reading and writing postures with common comorbidities in children and adolescents.
Results:
The prevalence rates of common diseases among children and adolescents in Ningxia were as follows: overweight/obesity was 22.87%, visual impairment was 62.52%, scoliosis was 2.30%, and hypertension was 1.30%. The prevalence of multimorbidity (co-occurrence of ≥2 conditions) among Ningxia children and adolescents was 15.95%. Multivariate unconditional Logistic regression analysis showed that frequent/always collapsing waist and sitting forward with head lowered increased the risk of common comorbidities in children and adolescents ( OR =1.90, P <0.05). Compared with the corresponding reference group, male children and adolescents aged 9 to 12 years and boys had relatively lower risks of overweight/obesity ( OR =0.71, 0.70); the risk of poor vision among children and adolescents aged 9 to 12 years, male, and urban was relatively low ( OR =0.59, 0.60, 0.73)( P < 0.05 ). Children and adolescents who often/always sat leaning to the left or right were at higher risk of poor vision ( OR =1.78); urban children and adolescents had a higher risk of developing scoliosis ( OR =3.71); children and adolescents aged 9 to 12 had a relatively low risk of developing hypertension ( OR =0.09), and children and adolescents who often/always bent their backs and sat forward on their knees had a higher risk of hypertension ( OR =5.03)( P <0.05).
Conclusions
Ningxia has a high incidence of common diseases and multiple diseases among children and adolescents, frequent or always collapsing waist and sitting forward with head lowered is associated with common comorbidities in children and adolescents in Ningxia. Proper postural measures for reading and writing should be carried out as soon as possible to encourage children and adolescents to develop good reading and writing habits for effectively preventing and controlling the occurrence of common diseases.
4.Correlation between screen time, screen behavior type and anxiety, depression among children and adolescents in Jiangxi Province
CHEN Ting, LUO Yaling, HU Huaxiong, SONG Xiaoguang, CHEN Fuhui, FAN Yi, FANG Xiaoyan, ZHU Hui
Chinese Journal of School Health 2024;45(3):370-374
Objective:
To analyze the status and correlation between screen time, screen behavior type, and anxiety, depression among children and adolescents in Jiangxi Province, so as to provide a basis for effective intervention measures.
Methods:
Using the method of stratified random sampling, 8 851 primary and secondary school students in 11 districts of Jiangxi Province were investigated by questionnaire during September to December in 2020. Anxiety and depression status were investigated using the State Trait Anxiety Inventory (STAI) and the Center for Epidemiological Studies Depression Scale for Children(CES-DC), respectively. Single factor analysis using χ 2-test, t-test,analysis of variance,and multivariate analysis using generalized linear models.
Results:
On school days and weekends, 4.7% and 20.4% of primary and secondary school students in Jiangxi Province had a total screen time of over 2 hours per day, respectively. The weighted scores of the total screen time (primary school students: 1.88± 0.68, junior middle school students: 1.96±0.71, high school students: 2.03±0.80) and time spent for playing video games (primary school students: 1.51±0.64, junior middle school students: 1.62±0.69, high school students: 1.68±0.75) daily showed an upward trend with the increase of educational stage ( F =31.48, 42.13), and with significantly higher in boys (1.97±0.74, 1.66± 0.72) than girls (1.93±0.72, 1.53±0.66)( t =2.48, 9.07)( P <0.05). The average scores of state anxiety and trait anxiety were (42.20±9.05) and (40.65±9.85), which showed an upward trend with the increase of educational stage ( F =168.12, 241.98 ), and were higher in girls than boys ( t =6.63, 8.48)( P <0.01). The average score of depression was (11.99±11.00), which was lower in elementary school students than middle school students and high school students ( F =136.42), with significantly higher in girls ( t =6.85)( P <0.01). On school days, with the increase of total screen time and time spent for playing video games daily, the risk of state anxiety, trait anxiety, and depression among primary and secondary school students significantly increased ( OR = 6.70- 818.98, P <0.01). On weekends, among primary and secondary school students, the total screen time of >1-2 hours daily reduced the risk of state anxiety ( OR =0.30). The risk of developing trait anxiety among students playing video games for more than 2 hours daily was 2.50 times higher than those without screen behavior ( OR =2.50). The risk of developing depression with a total screen time of more than 2 hours daily was 3.15 times higher those whithout screen behavior ( OR =3.15). The risk of developing depression among students playing video games >0-1, >1-2, >2 h daily was 2.14, 2.50, 4.90 times that of those without screen behaviors ( OR =2.14, 2.50, 4.90), and showed an upward trend with the increase of educational stage ( P <0.05).
Conclusions
Screen behaviors of primary and middle school students in Jiangxi Province are positively associated with the risk of anxiety and depression, but the total daily video time of >1-2 h on weekends was negatively associated with state anxiety. It is necessary to control the screen time as much as possible and reduce the risk of anxiety and depression.
5.Real-time Analysis of Organic Composition of Oral and Nasal Breath Air by High Resolution Mass Spectrometry
Kang-Yi WANG ; Chen TAO ; Xin LUO ; Zhi-Feng TANG ; Te BAI ; Hang LI ; Li-Gang HU ; Wei ZHANG ; Xue LI
Chinese Journal of Analytical Chemistry 2024;52(1):72-79,中插14-中插37
Human exhaled breath has great application prospects,e.g.,monitoring pharmacokinetics,disease diagnosis,due to its advantages such as non-invasive and high-frequency sampling.Breath samples can be collected from the oral and nasal cavity.However,the oral and nasal environment affect the chemical composition of breath sample.Therefore,the investigation on the chemical composition of mouth-exhaled breath and nose-exhaled breath is crucial for selection of appropriate sampling strategy for individual studies.In this work,secondary electrospray ionization-high resolution mass spectrometry(SESI-HRMS)was applied to analysis of respiratory metabolomics in real time.A quantitative analysis approach was established for 9 kinds of volatile organic compounds(VOCs)e.g.2-butanone,2-pentanone,ethyl acetate,methyl methacrylate,toluene,styrene,mesitylene,isoprene and limonene.The limit of detection was 2.3?240.8 ng/m3.The intra-day(n=6)and inter-day(n=18)relative standard deviations were 0.6%?4.6%and 4.3%?12.2%,respectively.Nine healthy subjects were recruited to investigate the chemical composition of mouth-exhaled and nose-exhaled breath.The results showed the good performance in quantitative analysis of 9 VOCs in breath air.It was found that the number of unique component(m/z)detected in mouth-exhaled breath(167)was 2.2 times greater than that detected in nose-exhaled breath(76),which might result from the complex environment in oral cavity.The signal intensity of commun component(163)was significantly different between mouth-exhaled breath and nose-exhaled breath.Additionally,the elemental composition analysis showed that the proportion of polar compounds detected in nose-exhaled breath was higher than that in mouth-exhaled breath.This study demonstrated that there was significant differences in the chemical composition between mouth-exhaled and nose-exhaled breath,which provided a theoretical basis for selection of exhalation mode.
6.Visualization Analysis of Artificial Intelligence Literature in Forensic Research
Yi-Ming DONG ; Chun-Mei ZHAO ; Nian-Nian CHEN ; Li LUO ; Zhan-Peng LI ; Li-Kai WANG ; Xiao-Qian LI ; Ting-Gan REN ; Cai-Rong GAO ; Xiang-Jie GUO
Journal of Forensic Medicine 2024;40(1):1-14
Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.
7.Analysis of Knowledge Map of Acupoint Catgut Embedd Therapy for Pain Based on Citespace
Hong-Fen YI ; Xin-Yu CHEN ; Han PENG ; Qian LI ; Tao-Hong LUO ; Qing-Long XUE ; Hao-Lin ZHANG ; Jian ZHUANG ; Mai-Lan LIU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(1):154-160
Objective To comprehensively excavate and analyze the research status,research hotspots and future trends of the literature related to the field of acupoint catgut embedding therapy for pain treatment in the CNKI database.Methods We searched the CNKI database from its establishment to June 2022,and scientifically analyzed the authors,keywords,and institutions of the included literature of acupoint catgut embedding therapy for pain treatment through specific algorithms of Citespace to generate a visual knowledge map.Results A total of 319 documents were included for statistical analysis,the number of publications in the field of acupoint catgut embedding therapy for the treatment of pain was generally on the rise,the number of publications by various authors was on the low side,and there was a lack of co-operation between the research teams,with the main institutions being the Guang'anmen Hospital,Chinese Academy of Chinese Medical Sciences,Affiliated Hospital of Youjiang Medical Universities of Nationalities and the Guangzhou University of Chinese Medicine,forming a 10-keyword clustering,and the hotspots of diseases under study were mainly mixed haemorrhoids,postoperative pain,low back and leg pain and dysmenorrhoea,etc..The main interventions were pure acupoint catgut embedding therapy and the combination of acupoint catgut embedding therapy and other acupuncture therapies,and the main research method was clinical research.Conclusion Acupoint catgut embedding therapy for the treatment of pain has a good development prospect,the future needs to deepen the clinical research,strengthen the mechanism research,pay attention to the joint use of acupoint catgut embedding therapy and other traditional Chinese medicine methods,and pay attention to the research of different thread materials.
8.Polysaccharide of Alocasia cucullata Exerts Antitumor Effect by Regulating Bcl-2, Caspase-3 and ERK1/2 Expressions during Long-Time Administration.
Qi-Chun ZHOU ; Shi-Lin XIAO ; Ru-Kun LIN ; Chan LI ; Zhi-Jie CHEN ; Yi-Fei CHEN ; Chao-Hua LUO ; Zhi-Xian MO ; Ying-Bo LIN
Chinese journal of integrative medicine 2024;30(1):52-61
OBJECTIVE:
To study the in vitro and in vivo antitumor effects of the polysaccharide of Alocasia cucullata (PAC) and the underlying mechanism.
METHODS:
B16F10 and 4T1 cells were cultured with PAC of 40 µg/mL, and PAC was withdrawn after 40 days of administration. The cell viability was detected by cell counting kit-8. The expression of Bcl-2 and Caspase-3 proteins were detected by Western blot and the expressions of ERK1/2 mRNA were detected by quantitative real-time polymerase chain reaction (qRT-PCR). A mouse melanoma model was established to study the effect of PAC during long-time administration. Mice were divided into 3 treatment groups: control group treated with saline water, positive control group (LNT group) treated with lentinan at 100 mg/(kg·d), and PAC group treated with PAC at 120 mg/(kg·d). The pathological changes of tumor tissues were observed by hematoxylin-eosin staining. The apoptosis of tumor tissues was detected by TUNEL staining. Bcl-2 and Caspase-3 protein expressions were detected by immunohistochemistry, and the expressions of ERK1/2, JNK1 and p38 mRNA were detected by qRT-PCR.
RESULTS:
In vitro, no strong inhibitory effects of PAC were found in various tumor cells after 48 or 72 h of administration. Interestingly however, after 40 days of cultivation under PAC, an inhibitory effect on B16F10 cells was found. Correspondingly, the long-time administration of PAC led to downregulation of Bcl-2 protein (P<0.05), up-regulation of Caspase-3 protein (P<0.05) and ERK1 mRNA (P<0.05) in B16F10 cells. The above results were verified by in vivo experiments. In addition, viability of B16F10 cells under long-time administration culture in vitro decreased after drug withdrawal, and similar results were also observed in 4T1 cells.
CONCLUSIONS
Long-time administration of PAC can significantly inhibit viability and promote apoptosis of tumor cells, and had obvious antitumor effect in tumor-bearing mice.
Mice
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Animals
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Alocasia/metabolism*
;
MAP Kinase Signaling System
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Caspase 3/metabolism*
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Apoptosis
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RNA, Messenger/metabolism*
9.Research Path and Paradigm of Digitization and Intelligentization of Ancient TCM Books Based on the Deep Integration of Knowledge Element Theory and Clinical Needs
Feng YANG ; Yi ZHANG ; Xiaohua TAO ; Jianfeng LI ; Tao LUO ; Jingling CHANG ; Jian CHEN ; Liyun CHEN ; Ming DAI ; Fenglan WANG ; Xiang LU
Journal of Traditional Chinese Medicine 2024;65(12):1201-1207
With the rapid development of information technology, research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service, thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory, we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books, built a knowledge sharing service platform for ancient TCM books by integrating database, cloud platform, knowledge graph and other technologies, and carried out the thematic literature research and developed databases for four major diseases including stroke, heart failure, liver cirrhosis, and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally, through "digital processing plus intelligent application", the two-way interaction between ancient TCM books and current clinical practice is realized, and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed, providing reference for the innovative utilization of ancient TCM books.
10.Optimization of water extraction technology of Xiangqin jiere granules by orthogonal design based on G1-entropy weight compared with BP neural network
Bingduo CHENG ; Liqin LUO ; Yuanzeng LI ; Jie JIANG ; Yiying CHEN ; Ji ZHAO ; Rui XUE ; Yunshu MA
China Pharmacy 2024;35(1):27-32
OBJECTIVE Optimizing the water extraction technology of Xiangqin jiere granules. METHODS The orthogonal test of 3 factors and 3 levels was designed, and comprehensive scoring was conducted for the above indexes by using G1-entropy weight to obtain the optimized water extraction technology of Xiangqin jiere granules with water addition ratio, extraction time and extraction times as factors, using the contents of forsythoside A, baicalin, phillyrin, oroxylin A-7-O-β-D-glycoside, wogonoside, baicalein and wogonin, and extraction rate as evaluation indexes. BP neural network modeling was used to optimize the network model and water extraction process using the results of 9 groups of orthogonal tests as test and training data, the water addition multiple, decocting time and extraction times as input nodes, and the comprehensive score as output nodes. Then the two analysis methods were compared by verification test to find the best water extraction process parameters. RESULTS The water extraction technology optimized by the orthogonal test was 8-fold water, extracting 3 times, extracting for 1 h each time. Comprehensive score was 96.84 (RSD=0.90%). The optimal water extraction technology obtained by BP neural network modeling included 12-fold water, extracting 4 times, extracting for 0.5 h each time. The comprehensive score was 92.72 (RSD=0.77%), which was slightly lower than that of the orthogonal test. CONCLUSIONS The water extraction technology of Xiangqin jiere granules is optimized successfully in the study, which includes adding 8-fold water, extracting 3 times, and extracting for 1 hour each time.


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