Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

INTRODUCTION: Achieving low-density lipoprotein cholesterol (LDL-C) levels is key to preventing atherosclerotic cardiovascular events. However, many high-risk cardiovascular patients still experience poor LDL-C goal attainment and receive suboptimal lipid-lowering therapy (LLT) prescriptions. Herein, we evaluated LLT prescription patterns, LDL-C goal attainment and cardiovascular mortality among this population group in Singapore. METHODS: This prospective observational cohort study included 555 patients with ischaemic heart disease (IHD) admitted to the hospital in 2020. The LLT prescriptions, corresponding LDL-C levels and cardiovascular outcomes were assessed over a 24-month period. RESULTS: Most participants were male (82.3%), with 48.5% identified as Chinese. High-intensity statin prescriptions increased from 45.4% at hospital admission to 87.1% at discharge and remained stable at approximately 80% at 6, 12, and 24 months post-discharge. Combination LLT prescriptions increased from 12.3% at discharge to 33.8% by 24 months. Ezetimibe was the most commonly prescribed second-line LLT (40.8%), followed by inclisiran (1.09%) and anti-proprotein convertase subtilisin/kexin type 9 monoclonal antibody therapies (0.87%). Over 24 months, LDL-C goal attainment rates were 22.1% for LDL-C < 1.4 mmol/L and 47.2% for LDL-C < 1.8 mmol/L. Multivariable Cox proportional hazards regression indicated that achieving LDL-C < 1.8 mmol/L goal was associated with a reduction in all-cause mortality at 24 months (hazard ratio 0.53, 95% confidence interval 0.30-0.94, P = 0.030). CONCLUSION Treatment gaps in lipid management persist in 80% of the study population, indicating that statin monotherapy alone is insufficient to achieve LDL-C goals. Greater efforts to improve LDL-C goal attainment rates in high-risk cardiovascular patients are imperative.
Humans ; Male ; Cholesterol, LDL/blood* ; Female ; Myocardial Ischemia/drug therapy* ; Middle Aged ; Prospective Studies ; Aged ; Singapore/epidemiology* ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use* ; Ezetimibe/therapeutic use* ; Anticholesteremic Agents/therapeutic use* ; Treatment Outcome

OBJECTIVE: To evaluate the clinical efficacy of ultrasound-guided acupuncture at myofascial trigger points (MTrPs) on treating post-stroke foot drop. METHODS: Sixty patients with post-stroke foot drop were randomly assigned to an observation group 1 (20 cases, 1 case dropped out), an observation group 2 (20 cases, 2 casses dropped out), and a control group (20 cases). The control group received conventional acupuncture at Yanglingquan (GB34), Jiexi (ST41), Taichong (LR3), Zusanli (ST36), Xuanzhong (GB39), and Qiuxu (GB40) on the affected side, once daily. In addition to the treatment of the control group , the observation group 1 received acupuncture at the tibialis anterior and gastrocnemius MTrPs, once every other day, while the observation group 2 received ultrasound-guided acupuncture at the tibialis anterior and gastrocnemius MTrPs, once every other day. All groups were treated for two weeks. Three-dimensional gait analysis was performed using an infrared motion capture system, and the Holden walking scale was used to evaluate walking ability before and after treatment in the three groups. RESULTS: Compared before treatment, the patients in the observation groups 1 and 2 showed increased walking speed (P<0.05, P<0.01), and improved Holden walking scale grades (P<0.05, P<0.01) after treatment; the patients in the observation group 2 also showed increased ankle dorsiflexion angles (P<0.05). The walking speeds of the observation groups 1 and 2 were faster than those of the control group after treatment (P<0.05), the Holden walking scale grade in the observation group 2 was superior to that in the control group (P<0.05). CONCLUSION The ultrasound-guided acupuncture at MTrPs could effectively improve gait function in post-stroke foot drop patients.
Humans ; Acupuncture Therapy ; Male ; Female ; Middle Aged ; Stroke/physiopathology* ; Aged ; Trigger Points/physiopathology* ; Gait ; Acupuncture Points ; Adult ; Ultrasonography ; Treatment Outcome ; Gait Disorders, Neurologic/etiology*

Objective:This article reports a case of right sinonasal teratocarcinosarcoma. The patient was admitted to the hospital with symptoms of persistent nasal obstruction in both nostrils. Nasal endoscopy revealed the presence of new growths in the right nasal cavity and nasopharynx. Sinus CT imaging showed that the nasal cavity, paranasal sinuses, and nasopharynx were filled with soft tissue density shadows, with evidence of bone destruction. Transnasal endoscopic sinonasal surgery was performed, and postoperative pathology, along with immunohistochemical results, confirmed a diagnosis of sinonasal teratocarcinosarcoma. This case is analyzed, and relevant literature is reviewed.
Humans ; Carcinosarcoma ; Paranasal Sinus Neoplasms ; Nose Neoplasms ; Male ; Teratoma ; Middle Aged

Objective To investigate the factors affecting the prognosis of patients with malignant obstructive jaundice(MOJ)after receiving biliary stent placement combined with intraluminal brachytherapy with 125I seed-strip implantation.Methods The clinical data of 52 patients with MOJ,who received biliary stent placement combined with intraluminal brachytherapy with 125I seed-strip implantation at the Jiangsu Provincial Cancer Hospital of China between January 2019 and January 2023,were retrospectively analyzed.The difference value between preoperative and postoperative number of lymphoid immune cells was recorded as△X.X-tile software was used to calculate the optimal cut-off value of △X,based on which the patients were divided into two groups.Univariate and multivariate analysis were used to determine the risk factors for overall survival(OS).Results The mean survival time of the 52 patients was(201.0±32.1)days.Univariate analysis indicated that postoperative TACE,preoperative ALT,preoperative AST,△lymphocyte cell,△CD3+T cell,△CD8+T cell,△natural killer cell(NK)and △regulatory cell(Treg)were significantly associated with OS,the differences were statistically significant(all P＜0.05).Multivariate analysis revealed that △lymphocyte cell(P=0.007)and △Treg(P=0.038)were the independent risk factors for OS.Conclusion For MOJ patients whose△lymphocyte is ≥0.237 or △Treg is ≥0.21,a longer OS can be expected after receiving the treatment of biliary stent placement combined with intraluminal brachytherapy with 125I seed-strip implantation.

BACKGROUND:Gut microbiota is closely related to host energy balance and metabolism.The metabolites of intestinal flora can regulate the occurrence and development of obesity and can be a new target for the prevention and treatment of obesity. OBJECTIVE:To summarize the interaction between the intestinal flora and obesity,as well as the specific mechanism underlying regulation of obesity by metabolites of intestinal flora,thereby providing a new reference and basis for the prevention and treatment of obesity. METHODS:"Intestinal microbiota,intestinal bacteria,intestinal microbiota metabolites,short-chain fatty acids,bile acids,ipopolysaccharide,trimethylamine N-oxide,medium-chain fatty acids,tryptophan derivatives,obesity"were used as search terms in Chinese and English.Literature related to obesity from 1990 to 2022 was retrieved in PubMed and CNKI databases.According to inclusion and exclusion criteria,88 articles were finally selected. RESULTS AND CONCLUSION:Intestinal flora is closely related to the occurrence and development of obesity.For example,changes in the Firmicutes to Bacteroidetes ratio can be used as a biomarker for the diagnosis of obesity,and the occurrence of obesity can be delayed by the colonization of probiotics such as Bifidobacterium breve,Lactobacillus and Akkermansia.Intestinal flora is mainly mediated by the metabolites of intestinal flora to participate in the regulation of obesity.For example,short-chain fatty acid can regulate adipogenesis by regulating signaling pathways such as G protein-coupled receptors 41,43 and peroxisome proliferator-activated receptor γ,thus delaying the occurrence and development of obesity.Bile acids can increase insulin sensitivity and body energy expenditure by promoting the activation of G protein-coupled receptor 5 and farnesol X receptor.In addition,lipopolysaccharide,trimethylamine oxide,medium-chain fatty acids and tryptophan derivatives are also widely involved in the occurrence and development of obesity through various signaling pathways.Further studies have found that metabolites of the same bacterial community exert heterogeneous effects in the specific process of regulating obesity via different signaling pathways.For example,under the influence of high-fat diet,acetic acids can activate the parasympathetic nervous system,leading to hyperphagia and liver insulin resistance and thus accelerating the physiological course of obesity.

BACKGROUND:Intestinal flora and its metabolites can participate in the pathological process of osteoporosis and play an important role in the diagnosis and treatment of osteoporosis.In addition,exercise can regulate the intestinal flora and thus affect the occurrence and development of osteoporosis. OBJECTIVE:To summarize the effects and mechanism of intestinal flora on osteoblasts,osteoclasts,and bone marrow mesenchymal stem cells,and the potential role of exercise-mediated intestinal flora in regulating osteoporosis. METHODS:"Intestinal flora,intestinal bacteria,metabolites of intestinal flora,bone metabolism,osteoporosis,exercise"were selected as keywords.Literatures from 1990 to 2023 were retrieved from PubMed and CNKI databases. RESULTS AND CONCLUSION:Changes in the abundance and diversity of intestinal flora and changes in the levels of intestinal flora metabolites such as trimethylamine oxide and bile acid can be used as biomarkers for the diagnosis of osteoporosis.The imbalance of intestinal flora can lead to intestinal barrier dysfunction and excessive production of lipopolysaccharides and trimethylamine oxide,induce the secretion of tumor necrosis factor-α and other inflammatory cytokines,activate the nuclear factor κB signaling pathway and aggravate oxidative stress,thus promoting osteoclast differentiation,inducing osteoblast apoptosis and affecting bone marrow mesenchymal cell migration.Remodeling intestinal flora homeostasis can inhibit inflammatory response,downregulate oxidative stress,inhibit osteoclast differentiation,promote osteoblast differentiation,and regulate the osteogenic migration of bone marrow mesenchymal cells to prevent and treat osteoporosis.Exercise can regulate intestinal flora homeostasis,improve intestinal barrier function,promote the secretion of short-chain fatty acids and bile acids,down-regulate serum lipopolysaccharide level,reduce oxidative stress,and then inhibit osteocyte apoptosis,inhibit osteoclast differentiation,promote osteoblast differentiation,and regulate osteocyte nutrient metabolism to exert the potential of preventing and treating osteoporosis.