1.Association between plant-based dietary patterns and gestational weight gain among pregnant women with gestational diabetes mellitus
SHI Meiqi ; YIN Yuhua ; WANG Xuhong ; FU Yuanqing ; MIAO Zelei ; HU Wensheng
Journal of Preventive Medicine 2025;37(5):503-506
Objective:
To investigate the association between plant-based dietary patterns and gestational weight gain (GWG) among pregnant women with gestational diabetes mellitus (GDM), so as to provide the evidence for guiding the reasonable diet during pregnancy.
Methods:
GDM pregnant women who participated in the WeBirth project in Hangzhou Obstetrics and Gynecology Hospital were selected. Maternal age and pre-pregnancy body mass index (BMI) were collected. The Chinese version of Pregnancy Physical Activity questionnaire was used to assess the daily activity equivalent. The food frequency questionnaire was used to collect the frequency and amount of food intake in the last month before enrollment. The overall plant-based diet index (PDI), healthy plant-based diet index (HPDI), and unhealthy plant-based diet index (UPDI) were constructed based on food intake and grouped by quartiles. Multiple linear regression models were used to analyze the association between plant-based dietary patterns and GWG.
Results:
A total of 1 943 pregnant women with GDM, with a median age of 30.91 (interquartile range, 4.92) years. The median BMI of pre-pregnancy was 21.51 (interquartile range, 4.06) kg/m2. The medians of PDI, HPDI and UPDI were 32.42 (interquartile range, 4.60), 32.48 (interquartile range, 4.41) and 32.40 (interquartile range, 5.36), respectively. The median of GWG was 11.30 (interquartile range, 4.52) kg. Multiple linear regression analysis showed that PDI (Q3 group, β=0.674, 95%CI: 0.064-1.285; Q4 group, β=0.702, 95%CI: 0.098-1.306), UPDI (Q3 group, β=1.332, 95%CI: 0.771-1.894; Q4 group, β=1.115, 95%CI: 0.550-1.681) were positively associated with GWG after adjusting for age, pre-pregnancy BMI, daily activity equivalent and daily energy intake. No significant association was found between HPDI and GWG (all P>0.05).
Conclusion
UPDI was associated with a higher risk of GWG in pregnant women with GDM.
2.Expert consensus on the prevention and treatment of enamel demineralization in orthodontic treatment.
Lunguo XIA ; Chenchen ZHOU ; Peng MEI ; Zuolin JIN ; Hong HE ; Lin WANG ; Yuxing BAI ; Lili CHEN ; Weiran LI ; Jun WANG ; Min HU ; Jinlin SONG ; Yang CAO ; Yuehua LIU ; Benxiang HOU ; Xi WEI ; Lina NIU ; Haixia LU ; Wensheng MA ; Peijun WANG ; Guirong ZHANG ; Jie GUO ; Zhihua LI ; Haiyan LU ; Liling REN ; Linyu XU ; Xiuping WU ; Yanqin LU ; Jiangtian HU ; Lin YUE ; Xu ZHANG ; Bing FANG
International Journal of Oral Science 2025;17(1):13-13
Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans
;
Consensus
;
Dental Caries/etiology*
;
Dental Enamel/pathology*
;
Tooth Demineralization/etiology*
;
Tooth Remineralization
3.Expert consensus on early orthodontic treatment of class III malocclusion.
Xin ZHOU ; Si CHEN ; Chenchen ZHOU ; Zuolin JIN ; Hong HE ; Yuxing BAI ; Weiran LI ; Jun WANG ; Min HU ; Yang CAO ; Yuehua LIU ; Bin YAN ; Jiejun SHI ; Jie GUO ; Zhihua LI ; Wensheng MA ; Yi LIU ; Huang LI ; Yanqin LU ; Liling REN ; Rui ZOU ; Linyu XU ; Jiangtian HU ; Xiuping WU ; Shuxia CUI ; Lulu XU ; Xudong WANG ; Songsong ZHU ; Li HU ; Qingming TANG ; Jinlin SONG ; Bing FANG ; Lili CHEN
International Journal of Oral Science 2025;17(1):20-20
The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans
;
Malocclusion, Angle Class III/classification*
;
Orthodontics, Corrective/methods*
;
Consensus
;
Child
4.Effect of Echinacea purpurea extract on digestive ability and intestinal barrier function of Bamei ternary pigs
Zixin CHEN ; Hua WU ; Wensheng WANG ; Jiayi LIU ; Jiewei SHEN ; Long LI ; Guohong ZHAO ; Shulei MA
Chinese Journal of Veterinary Science 2025;45(7):1525-1534
The aim of the experiment was to study the effects of Echinacea purpurea extract on the digestive ability,immune function and intestinal barrier of the Bamei ternary pigs.Forty-eight healthy pigs of 50 days old were randomly divided into four groups,each with three replicates and four pigs in each replicate.The control group(CON)was fed a basal diet,and the experimental group was divided into 5 g/kg(T1),10 g/kg(T2)and 15 g/kg(T3)of Echinacea extract in the basal diet.The pre-test period was 5 days and the main test period was 35 days with free feeding and drinking during the test period.The results showed that:There was no significant effect on the apparent digestibility of nutrients and jejunum morphology in the test group compared to the CON group(P>0.05).Amylase and trypsin activities were significantly higher in the experimental group and lipase activities were significantly higher in T2 and T3 groups compared to CON group(P<0.05).GSH,CAT and T-AOC activities were significantly higher in the experimental group compared to CON group(P<0.05).In comparison with CON group,the levels of IL-1 and IL-6 were significantly lower in the experimental group(P<0.05),and the levels of TNF-α were significantly lower in the T2 and T3 groups(P<0.05);and the levels of IL-10 were signifi-cantly higher in the T3 group(P<0.05).The mRNA and protein expression levels of TLR4,MyD88,TRAF6,and NF-κB were significantly lower in the experimental group(P<0.05).The mRNA and protein expression levels of CLDN-1,OCLN and ZO-1 were significantly increased in the test group(P<0.05).The results between the test groups showed that the protein expression levels of CLDN-1 and OCLN were significantly increased in the T3 group compared with the T1 group(P<0.05).In conclusion,the addition of Echinacea extract to the ration can,to a certain ex-tent,improve the digestive ability,balance the immune ability,and improve the intestinal barrier function of the Bamei ternary pigs,thus promoting the intestinal health of pigs.
5.Application and effect evaluation of different deep learning models in predicting lung cancer spread through air spaces
Baotan HAO ; Linyi JIA ; Xi WANG ; Hongyu SHAO ; Jing ZHANG ; Wensheng LIU
Journal of Practical Radiology 2025;41(8):1310-1314
Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.
6.Analysis of Clinical Diagnosis and Traditional Chinese Medicine Medication Rule of Children with Nephrotic Syndrome in Single Center
Tingting XU ; Xia ZHANG ; Ying DING ; Long WANG ; Shanshan XU ; Yijin WANG ; Yue WANG ; Feiyu YAO ; Chundong SONG ; Wensheng ZHAI ; Xianqing REN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):176-184
ObjectiveTo analyze the clinical treatment plan and traditional Chinese medicine (TCM) medication rule of children with primary nephrotic syndrome (PNS) in the First Affiliated Hospital of Henan University of Chinese Medicine. MethodsThe gender and age of children firstly diagnosed with nephrotic syndrome in the pediatric nephrology department of the First Affiliated Hospital of Henan University of Chinese Medicine from November 2019 to December 2022 were collected, and the use of immunosuppressive agents and related frequencies were counted. According to the inclusion and exclusion criteria, an independent TCM prescription database for children with nephrotic syndrome was established. Excel was used to analyze the relevant information of the literature. The frequency counting, association rule analysis, and cluster analysis were carried out on TCM in the prescription, and the high-frequent drugs were analyzed. Results(1) General information: A total of 711 children were included, consisting of 522 males (73.42%) and 189 females (26.58%). The ratio of male to female was about 2.76∶1. The disease mainly occurred in infants and preschool age, and the average age of onset was (4.74 ± 3.48) years old. (2) Clinical treatment plan and use of immunosuppressive agents: Of the 711 children with PNS, 237 were treated with hormone alone (32.33%), and 474 (66.67%) received immunosuppressive agents combined with hormones. In the initial treatment, hormone combined with Tacrolimus (TAC) was the preferred treatment (32.91%). For children with refractory PNS who exhibited poor clinical efficacy, Rituximab (RTX) was mostly used for treatment, with a ratio of up to 23.63%. (3) TCM syndrome and medication rule: In PNS syndrome differentiation, Qi and Yin deficiency was identified as the main syndrome. This involved a total of 477 cases, accounting for 67.09%. Yang deficiency of spleen and kidney was observed in 118 cases, accounting for 16.60%. A total of 711 children were included, of which 706 children were treated with TCM. This involved a total of 706 prescriptions, 226 TCM, and 9 793 frequencies. There were 30 herbs used more than 95 times. The top five TCM were Radix et Rhizoma Glycyrrhizae (81.16%), Radix Astragali (71.81%), Poria (68.84%), Rhizoma Atractylodis Macrocephalae (63.60%), and Fructus Corni (57.37%). The drug association rules and network diagram showed that the combination of ''Radix Astragali-Rhizoma Atractylodis Macrocephalae-Poria'' was the closest, and five types of combinations were obtained by cluster analysis. ConclusionIn the diagnosis and treatment of PNS in children, TAC combined with hormones shows good clinical efficacy and high safety. For children with refractory PNS, RTX combined with hormones can be used. TCM medication for PNS should follow the basic principles of strengthening the body and vital Qi and make good use of drugs such as Radix Astragali, Poria, Rhizoma Atractylodis Macrocephalae, and cornus to regulate the Yin and Yang balance and achieve better clinical efficacy.
7.Analysis of Clinical Diagnosis and Traditional Chinese Medicine Medication Rule of Children with Nephrotic Syndrome in Single Center
Tingting XU ; Xia ZHANG ; Ying DING ; Long WANG ; Shanshan XU ; Yijin WANG ; Yue WANG ; Feiyu YAO ; Chundong SONG ; Wensheng ZHAI ; Xianqing REN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):176-184
ObjectiveTo analyze the clinical treatment plan and traditional Chinese medicine (TCM) medication rule of children with primary nephrotic syndrome (PNS) in the First Affiliated Hospital of Henan University of Chinese Medicine. MethodsThe gender and age of children firstly diagnosed with nephrotic syndrome in the pediatric nephrology department of the First Affiliated Hospital of Henan University of Chinese Medicine from November 2019 to December 2022 were collected, and the use of immunosuppressive agents and related frequencies were counted. According to the inclusion and exclusion criteria, an independent TCM prescription database for children with nephrotic syndrome was established. Excel was used to analyze the relevant information of the literature. The frequency counting, association rule analysis, and cluster analysis were carried out on TCM in the prescription, and the high-frequent drugs were analyzed. Results(1) General information: A total of 711 children were included, consisting of 522 males (73.42%) and 189 females (26.58%). The ratio of male to female was about 2.76∶1. The disease mainly occurred in infants and preschool age, and the average age of onset was (4.74 ± 3.48) years old. (2) Clinical treatment plan and use of immunosuppressive agents: Of the 711 children with PNS, 237 were treated with hormone alone (32.33%), and 474 (66.67%) received immunosuppressive agents combined with hormones. In the initial treatment, hormone combined with Tacrolimus (TAC) was the preferred treatment (32.91%). For children with refractory PNS who exhibited poor clinical efficacy, Rituximab (RTX) was mostly used for treatment, with a ratio of up to 23.63%. (3) TCM syndrome and medication rule: In PNS syndrome differentiation, Qi and Yin deficiency was identified as the main syndrome. This involved a total of 477 cases, accounting for 67.09%. Yang deficiency of spleen and kidney was observed in 118 cases, accounting for 16.60%. A total of 711 children were included, of which 706 children were treated with TCM. This involved a total of 706 prescriptions, 226 TCM, and 9 793 frequencies. There were 30 herbs used more than 95 times. The top five TCM were Radix et Rhizoma Glycyrrhizae (81.16%), Radix Astragali (71.81%), Poria (68.84%), Rhizoma Atractylodis Macrocephalae (63.60%), and Fructus Corni (57.37%). The drug association rules and network diagram showed that the combination of ''Radix Astragali-Rhizoma Atractylodis Macrocephalae-Poria'' was the closest, and five types of combinations were obtained by cluster analysis. ConclusionIn the diagnosis and treatment of PNS in children, TAC combined with hormones shows good clinical efficacy and high safety. For children with refractory PNS, RTX combined with hormones can be used. TCM medication for PNS should follow the basic principles of strengthening the body and vital Qi and make good use of drugs such as Radix Astragali, Poria, Rhizoma Atractylodis Macrocephalae, and cornus to regulate the Yin and Yang balance and achieve better clinical efficacy.
8.Application and effect evaluation of different deep learning models in predicting lung cancer spread through air spaces
Baotan HAO ; Linyi JIA ; Xi WANG ; Hongyu SHAO ; Jing ZHANG ; Wensheng LIU
Journal of Practical Radiology 2025;41(8):1310-1314
Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.
9.A Study of Nasalance Characteristics of School Children in Tibet under Different Test Materials
Yanjing CAO ; Wensheng ZHAO ; Xiaoyu WANG ; HaKyung KIM ; Lamu QUNI
Journal of Audiology and Speech Pathology 2025;33(1):59-61
Objective To develop Tibetan nasalance test materials,and to determine the normal range of na-salance in Tibetan-speaking children,and to investigate the characteristics of nasalance in Tibetan schoolchildren in different Chinese and Tibetan corpora.Methods Three corpora,including three Chinese test sentences,three Ti-betan test materials,and three Tibetan rhymes,were selected to test the nasalance of 50 children(7~12 years old)in the context of Tibetan as their mother tongue in the Tibetan region during pronunciation.Results Differences in nasalance between Chinese and Tibetan nasal sentences were statistically significant(P<0.01)and lower in Tibetan than in Chinese among Tibetan schoolchildren.The mean nasalance of Tibetan rhymes showed/i/>/u/>/a/.Na-sal sentences of Tibetan corpus,oral sentences,oral-nasal sentences and Tibetan rhyming/i/had statistically signif-icant differences in nasalance between genders(P<0.05 or P<0.01).Conclusion When assessing the nasalance of Tibetan schoolchildren with Tibetan,a special dialect of Tibetan,as their mother tongue and main language of com-munication in Tibet,the choice of corpus is one of the important factors influencing the nasalance in addition to age and gender,and the application of the Tibetan corpus provides important reference information for the phonological assessment of Tibetan children with nasal resonance disorders.
10.Liquiritin inhibits osteoclast differentiation and alleviates bone loss
Wensheng ZHANG ; Haiwei GUO ; Rui WENG ; Ling MO ; Zhenjie SONG ; Han TIAN ; Yelin ZHONG ; Yuancheng WANG ; Hanwu TANG ; Caijun LIU ; Chao YUAN ; Ying LI
Chinese Journal of Tissue Engineering Research 2025;29(12):2429-2437
BACKGROUND:Relatively or absolutely active bone resorption function of osteoclasts is one of the causative factors of osteoporosis. Therefore,how to inhibit the formation of osteoclasts and reduce the bone resorption activity is a key element in the prevention and treatment of osteoporosis. Liquiritin,which is derived from licorice,plays a role in the clinical treatment of bone diseases,but there are fewer studies addressing the application of liquiritin in osteoporosis and the mechanism is unknown.OBJECTIVE:To confirm,through both in vivo and in vitro experiments,that liquiritin inhibits osteoclast differentiation and alleviates bone loss.METHODS:Cell counting kit-8 was used to detect whether Liquiritin exerts toxic or proliferative effects on mouse bone marrow-derived macrophages,and tartrate-resistant acid phosphatase staining was performed to observe the effect of liquiritin in inhibiting osteoclast differentiation. The affinity of liquiritin binding to proteins related to osteoclast differentiation was verified by network pharmacology. RT-PCR and western blot assays were performed to detect the inhibitory effects of liquiritin on osteoclast-specific protein and gene expression as well as relevant signaling pathways. Finally,the mitigating effect of liquiritin on bone loss was verified in the C57BL/6J mouse osteoporosis model.RESULTS AND CONCLUSION:Liquiritin,at concentrations of 20 μmol/L and below,could inhibit the formation and differentiation of osteoclasts. Concurrently,it exhibited a high affinity with osteoclast-specific proteins such as nuclear factor of activated T-cells 1,Cathepsin K,c-Fos,and matrix metalloproteinase 9,and reduced the relative expression levels of these genes and proteins. Liquiritin could also effectively lower the phosphorylation expression level of JNK in the MAPK signaling pathway at the 15th,30th,45th,and 60th minutes,and it could salvage the degradation of nuclear factor-κB inhibitor α in the nuclear factor-κB signaling pathway at the 60th minute. In vivo experiments demonstrated that liquiritin could mitigate bone loss caused by osteoclasts and improve parameters related to trabecular bone. To conclude,liquiritin possesses the capacity to inhibit osteoclast differentiation and alleviate bone loss,thereby exerting a protective role against osteoporosis.


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