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

Objective To study the changes in serum immunoglobulin levels in children with thalassemia who undergo repeated blood transfusions and explore their correlation with delayed hemolytic transfusion reactions(DHTR).Methods Serum samples from children with thalassemia who received blood transfusion treatment from June 2022 to April 2023(ob-servation group)and healthy children who underwent physical examination(control group)in our hospital were collected.The levels of serum immunoglobulins(IgG subtype,IgM,IgA,IgE and IgD)were detected using flow cytometry CBA multi-factor quantitative detection technology,and the differences between the two groups were compared.The children were divided into 4 groups according to different transfusion numbers:≤10 numbers,11-30 numbers,31-50 numbers and＞50 numbers,and the differences between different blood transfusion numbers and serum immunoglobulin levels in each group were compared using one-way analysis of variance(ANOVA).Children with thalassemia with DHTR were in the hemolysis group,and children with thalassemia who did not experience DHTR were in the non-hemolysis group.The changes in serum immunoglobulins(IgG subtypes,IgM,IgA,IgE and IgD)between the two groups were compared to explore the correlation between serum immunoglobulins in thalassemia children with repeated transfusion and DHTR.Results The levels of IgG1,IgG3,IgG4 and IgA in the observation group were significantly higher than those in the control group,with the increase of(2.07±2.12),(0.67±2.03),(0.30±0.37)and(6.04±11.40)mg/mL,respectively,while the level of IgD in observation group was significantly lower than that in the control group,with a decrease of(0.03±0.01)mg/mL,P＜0.05.No significant difference was noticed in IgG2,IgM and IgE between the groups(P＞0.05).IgG1 and IgG4 both significantly increased with the number of blood transfusions.The IgG1 in the 4 groups increased sequentially as(0.30±0.62),(0.41±0.51)and(3.60±3.48)mg/mL,and IgG4 increased sequentially as(0.12±0.13),(0.22±0.07)and(0.21±0.38)mg/mL.IgG2,IgM and IgD showed a significant decrease,with IgG 2,IgM,and IgD in four groups decreased as(0.91±1.50),(0.14±0.10)and(0.05±0.05)mg/mL,respectively,showing significant differences with the number of blood transfusions(P＜0.05).No sig-nificant difference was found in IgG3,IgA and IgE with different number of transfusions(P＞0.05).IgG1,IgG3 and IgG4 in the hemolysis group were significantly higher than those in the non-hemolysis group,with an increase of(4.44±3.41),(0.73±1.26)and(0.52±0.40),respectively(P＜0.05).IgD in the hemolysis group was significantly lower than that in the non-hemolysis group,with a decrease of(0.00±0.06)mg/mL,P＜0.05.No significance was noticed in IgG2,IgM,IgA and IgE between the hemolysis group and the non-hemolysis group(P＞0.05).Conclusion The serum immunoglobulin levels of children with thalassemia who undergo repeated blood transfusions are abnormal.There are differences in correlation between the number of blood transfusions and serum immunoglobulin levels among children with thalassemia who undergo repeated blood transfusions.The relevant serum immunoglobulins for DHTR in children with thalassemia who undergo repeated blood transfusions are IgG1,IgG3 and IgG4.

Objective:To investigate the incidence characteristics and influencing factors of non-alcoholic fatty liver disease (NAFLD) in rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps and to provide scientific evidence for early identification and prevention of NAFLD for residents.Methods:A total of 10 158 participants were included from the Xinjiang Uygur ethnic group population cohort. A prospective cohort study and Cox proportional hazards regression model analysis were used to explore the influencing factors and clustering of NAFLD, and the dose-response relationship between related biochemical indicators and the risk of NAFLD was studied using a restricted cubic spline.Results:The cumulative incidence rate of NAFLD was 6.9%, and the incidence density of NAFLD was 12.06/1 000 person-years. The incidence density of NAFLD in females was higher than in males (14.72/1 000 person-years vs. 9.17/1 000 person-years, P<0.001). The incidence density of NAFLD gradually increased with age in the total population, both men and women (all P<0.001). In the general population, an education level of junior high school or above was a protective factor for NAFLD, while older age, divorce, widowhood, overweight, obesity, hypertension, increased glomerular filtration rate, decreased HDL-C, increased LDL-C, and increased ALT were risk factors for NAFLD. Estimated glomerular filtration rate (eGFR), HDL-C, LDL-C, and ALT were non-linearly correlated with the incidence of NAFLD, and there was a significant dose-response relationship between them. Only 19.1% of residents had no NAFLD risk factors; over 80.9% had ≥1 NAFLD risk factors. The risk of NAFLD increased with the number of risk factors. Conclusions:The incidence of NAFLD in rural Uygur ethnic group residents in Xinjiang Production and Construction Corps was relatively low, but most residents had one or more risk factors for NAFLD. Prevention and control of NAFLD in this population cannot be ignored. In addition, people of older age, divorced or widowed, low education level, overweight or obese, hypertension, and abnormal eGFR, HDL-C, LDL-C, and ALT were the high-risk groups of NAFLD that need to be paid attention to in this population.

Humans ; Myocardial Infarction/surgery* ; Bone Marrow Transplantation ; Bone Marrow Cells ; Ventricular Function, Left

Serine/arginine-rich splicing factor 7 (SRSF7), a known splicing factor, has been revealed to play oncogenic roles in multiple cancers. However, the mechanisms underlying its oncogenic roles have not been well addressed. Here, based on N⁶-methyladenosine (m⁶A) co-methylation network analysis across diverse cell lines, we find that the gene expression of SRSF7 is positively correlated with glioblastoma (GBM) cell-specific m⁶A methylation. We then indicate that SRSF7 is a novel m⁶A regulator, which specifically facilitates the m⁶A methylation near its binding sites on the mRNAs involved in cell proliferation and migration, through recruiting the methyltransferase complex. Moreover, SRSF7 promotes the proliferation and migration of GBM cells largely dependent on the presence of the m⁶A methyltransferase. The two m⁶A sites on the mRNA for PDZ-binding kinase (PBK) are regulated by SRSF7 and partially mediate the effects of SRSF7 in GBM cells through recognition by insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2). Together, our discovery reveals a novel role of SRSF7 in regulating m⁶A and validates the presence and functional importance of temporal- and spatial-specific regulation of m⁶A mediated by RNA-binding proteins (RBPs).
Humans ; Cell Line, Tumor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Glioblastoma/genetics* ; Methyltransferases/metabolism* ; RNA Splicing Factors/metabolism* ; RNA, Messenger/genetics* ; RNA-Binding Proteins/metabolism* ; Serine-Arginine Splicing Factors/metabolism* ; RNA Methylation/genetics*

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective To analyze the basic characteristics and variation trend of death causes of permanent residents in Enshi City during 2013-2018, to assess the burden of different diseases, and to provide a scientific basis for formulating disease prevention and control strategies. Methods The death monitoring data of permanent residents in Enshi City, Hubei Province from 2013 to 2018 was collected. The crude mortality, standardized mortality, life expectancy, potential years of life loss (PYLL), standard potential years of life loss (SPYLL), average years of life lost (AYLL), and annual percentage change (APC) were calculated to describe the distribution and trend of death causes. Results The average annual crude death rate and standardized death rate of residents in Enshi City from 2013 to 2018 were 679.43 per 100 000 and 615.02 per 100 000, respectively. The top 5 causes of death were circulatory system diseases, respiratory system diseases, malignant tumors, injuries, and digestive system diseases, accounting for 91.2% of the total deaths. Analysis of life expectancy found that the average life expectancy of local residents from 2013 to 2018 was 78.02 years, and the value in the male group (75.57 years) was lower than that in the female group (80.78 years). Life loss analysis revealed that PYLL caused by various diseases was 171 620 person-years, SPYLL was 171 284.62 person-years, and AYLL was 15.03 years/person in Enshi City from 2013 to 2018. Among all the death causes, the top five in terms of life loss were injuries, malignant tumors, circulatory diseases, respiratory diseases and digestive diseases. Conclusion From 2013 to 2018, the death rate of residents in Enshi City was relatively higher compared with those in other cities in China, the average annual crude death rate was on the rise, and the average annual standardized death rate was on the decline, indicating a highly ageing region. Chronic diseases such as circulatory system diseases, malignant tumors, and respiratory diseases, as well as injuries were the main death causes and caused a heavy burden of diseases, which should be the focus of future prevention and control work. Considering the higher levels of death and life loss indicators of male residents than those of women, targeted prevention and control measures should be taken to narrow the gap between men and women and improve the overall life quality of the whole population.

Objective: To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population. Methods: A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves. Results: The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95%CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95%CI 0.805-0.901). Conclusions The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.

Objective: To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population. Methods: The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve. Results: The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99). Conclusion MS risk score that included age may be a better predictor of CVD among Kazakhs population.