1.Efficacy and safety of acupuncture-moxibustion for cerebral palsy-induced speech impairment:a systematic review and meta-analysis
Jiahui WANG ; Taocheng ZHOU ; Chao BAO ; Jianbing LI ; Yuhang SUI
Journal of Acupuncture and Tuina Science 2023;21(3):229-238
Objective:To evaluate the efficacy and safety of acupuncture-moxibustion in the treatment of cerebral palsy-related speech impairment.Methods:A systematic literature search of 7 electronic databases was conducted between January 7,2000 and January 12,2021 to find randomized controlled trials(RCTs)examining the benefits of acupuncture-moxibustion combined with rehabilitation training to cerebral palsy-induced speech impairment.The included trials'quality was assessed using the Cochrane Reviewers'Handbook as a guide,and statistical analysis was carried out using the RevMan 5.3 software.Results:A total of 17 RCTs with 1238 subjects were finally recruited and analyzed.When acupuncture-moxibustion was combined with rehabilitation training,the results showed a considerable improvement in speech impairment compared with the rehabilitation training alone.The most commonly used points for the treatment of speech disorders are Baihui(GV20),Speech Area,Zhisanzhen[Shenting(GV24)and bilateral Benshen(GB13)],Niesanzhen[2 Cun above the ear tip as the first point,with 1.0 Cun anterior and posterior to the current point as the second and third points],and Sishenzhen[1.5 Cun anterior,posterior,and bilateral to Baihui(GV20)].Conclusion:Acupuncture-moxibustion has a stronger effect on children's development of receptive and expressive language,as well as the developmental quotient.Acupuncture-moxibustion in combination with rehabilitation training is not only more successful than the control treatment,but also safer and more dependable.Baihui(GV20),Speech Area,Zhisanzhen,Niesanzhen,and Sishenzhen are the most widely used points for speech impediment.
2.Study on acupoint selection law of acupuncture for autism spectrum disorder based on data mining
Ruolan MAO ; Xinxiang YU ; Dong CHEN ; Yancai LI ; Yaruo XUE ; Yuhang SUI ; Chao BAO
International Journal of Traditional Chinese Medicine 2023;45(8):1039-1043
Objective:To analyze the acupoint selection law of acupuncture for autism spectrum disorder (ASD) using data mining techniques.Methods:Literature related to acupuncture for ASD was retrieved from the CNKI, SinoMed, VIP, Wanfang, and PubMed databases from the establishment of the databases to April 1, 2022, and then a database of acupuncture prescriptions was established. The frequency analysis of acupoint use was performed using Microsoft Excel 2019; the Apriori algorithm was used to analyze the association law of acupoints/acupoint areas; SPSS 26.0 was used to perform intergroup cluster analysis.Results:A total of 97 relevant articles with 97 acupuncture prescriptions and 98 acupoints/acupoint areas were included. The most frequently used acupoint was Shenmen (HT 7). The acupoint area of Jin's three-needle therapy and the Governor Vessel acupoints are commonly used. The most frequently occurring part of the acupoint/acupoint area was the head, and the most commonly used specific acupoint was the rendezvous acupoint. Association rule analysis yielded 40 groups of acupoints/acupoint areas, and the most commonly used combination was Laogong (PC 8) and Shenmen (HT 7). Four categories were extracted among high-frequency acupoints/acupoint areas by cluster analysis.Conclusion:Acupuncture treatment for ASD mainly selects the head acupoints, mainly selecting the acupoint area of Jin's three-needle therapy and the Governor Vessel acupoints, and paying attention to the use of specific acupoints.
3.Research progress on sex hormone-binding globulin involved in the occurrence and development of diabetes mellitus
Yuhang BAO ; Hong SU ; Rendong ZHENG
Chinese Journal of Primary Medicine and Pharmacy 2023;30(7):1112-1115
Sex hormone-binding globulin (SHBG) is significantly associated with abnormal glucose metabolism. Low SHBG level is a risk factor for insulin resistance and the occurence of diabetes mellitus. SHBG is negatively correlated with the risk of type 2 diabetes mellitus and plays an important role in regulating insulin resistance while predicting its development. The genotype of SHBG has been found to be closely related to the occurrence of diabetes mellitus. Fatty liver and DNA methylation are also important factors mediating the relationship between SHBG and type 2 diabetes mellitus. The change in SHBG level may be related to insulin resistance by influencing hepatocyte nuclear factor 4a and regulating glucose transporter.