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.

Aim To investigate the antibacterial activity and anti-resistant mutation ability of Qiguiyin decoction (a traditional Chinese herbal formula) combined with levofloxacin against pseudomonas aeruginosa byantibacterial experiment in vitro and serum pharmacology. Methods The minimal inhibitory concentrations (MICs) of levofloxacin and Qiguiyin decoction were detected respectively by the broth dilution technique.The MIC of the combination of two drugs was determined by the micro chessboard dilution method. The effects of combined drugs on enhancing the antibacterial activity of different strains were evaluated respectively by calculating the fractional inhibitory concentration index (FICI). The drug-containing serum of levofloxa-cin group, Qiguiyin decoction group, Qiguiyin decoction combined with levofloxacin group and control group was prepared. The antibacterial rate, MIC and MBC of 10% ~ 90% serum against the two strains were determined. Results Combined with Qiguiyin decoction, MIC of levofloxacin against pseudomonas aeruginosa (standard/resistant) decreased significantly, 0. 5 < FICI ^ 1. With the increase of the proportion of serum, the inhibitory rate of 10% ~ 90% drug-containing serum to pseudomonas aeruginosa (standard/resistant) increased gradually.compared with the control group, the inhibitory effect of the Qiguiyin group on bacteria was significantly enhanced. The MIC

[This corrects the article DOI: 10.1016/j.apsb.2022.10.016.].

Objective To explore the expression of PD-1 and CTLA-4 in osteosarcoma and their clinical significance. Methods Fifty-eight cases of osteosarcoma encountered from 2007 to 2016 were enrolled. The expression levels of PD-1 and CTLA-4 were detected through immunohistochemistry (EnVision method). Results PD-1 was positively expressed in 31 (53.4%) cases and negatively expressed in 27 (46.6%) cases. CTLA-4 was positively expressed in 19 (32.8%) cases and negatively expressed in 39 (67.2%) cases. A total of 12 (20.7%) cases were PD-1 and CTLA-4 double positive, whereas 20 (34.5%) cases were double negative, and 26 (44.8%) cases were single positive. The positive expression of PD-1 was correlated with neoadjuvant chemotherapy, tumor metastasis and relapse, and shortened survival time (P < 0.05). The positive expression of CTLA-4 was partly related with late Ennecking stage (P=0.051). Double positive expression was related to the highest tumor metastasis and relapse rates and the worst prognosis (P < 0.05), compared with double negative and single positive expression. Conclusion Positive expression of PD-1 and CTLA-4 in osteosarcoma is associated with worse prognosis, whereas double positive expression is associated with the highest tumor relapse and metastasis rates and shortest survival time. These results are potential valuable references for osteosarcoma immunotherapy.

ObjectiveTo investigate the value of percutaneous and intravenous contrast-enhanced ultrasound（P-Ⅳ-CEUS） in sentinel lymph nodes（SLNs） after resection of early-stage primary breast cancer. MethodsA retrospective analysis was done on the clinical and imaging data of 42 early breast cancer patients. Following primary tumor resection， all these patients underwent reoperation in our hospital. SLNs were examined by preoperative P-Ⅳ-CEUS and intraoperative sentinel lymph node biopsy（SLNB） was performed by using Methylene blue as a tracer. Then we analyzed the detection and false-negative rate in CEUS and SLNB respectively. By using the surgical pathological results as the gold standard， the diagnostic efficacy of CEUS for SLNs was explored. ResultsThe detection rate and false negative rate of SLNs in percutaneous contrast-enhanced ultrasound （P-CEUS） were 92.9% （39/42） and 7.1% （3/42）， respectively. The detection rate in methylene blue staining was 100% （41/41） and one patient underwent neoadjuvant therapy due to biopsy-confirmed metastasis. The sensitivity， specificity， positive predictive value， negative predictive value and accuracy of P-Ⅳ-CEUS were 66.7% （2/3）， 100% （37/37）， 100% （2/2）， 97.3% （36/37） and 97.4% （38/39）， respectively. ConclusionsP-Ⅳ-CEUS after resection of early-stage primary breast cancer can accurately detect SLNs and characterize their status， which is a reliable clinical basis for reducing invasive SLNB.

OBJECTIVE: To observe the impacts of acupuncture on depressive mood and sleep quality in patients with comorbid mild-to-moderate depressive disorder and insomnia, and explore its effect mechanism. METHODS: A total of 60 patients with comorbid mild-to-moderate depressive disorder and insomnia were randomly divided into an observation group (30 cases, 1 case dropped off) and a control group (30 cases, 2 cases dropped off). In the observation group, acupuncture and low frequency repeated transcranial magnetic stimulation (rTMS) were combined for the intervention. Acupuncture was applied to Baihui (GV 20), Yintang (GV 24⁺), Neiguan (PC 6) and Yanglingquan (GB 34), etc., the needles were retained for 30 min; and the intradermal needles were embedded at Xinshu (BL 15) and Danshu (BL 19) for 2 days. After acupuncture, the rTMS was delivered at the right dorsolateral prefrontal cortex (R-DLPFC), with 1 Hz and 80% of movement threshold, lasting 30 min in each treatment. In the control group, the sham-acupuncture was adopted, combined with low frequency rTMS. The acupoint selection and manipulation were the same as the observation group. In the two groups, acupuncture was given once every two days, 3 times weekly; while, rTMS was operated once daily, for consecutive 5 days a week. The duration of treatment consisted of 4 weeks. Hamilton depression scale-17 (HAMD-17) and Pittsburgh sleep quality index (PSQI) scores were observed before and after treatment, as well as 1 month after the treatment completion (follow-up period) separately. Besides, the levels of nerve growth factor (BDNF) and γ-aminobutyric acid (GABA) in the serum were detected before and after treatment in the two groups. RESULTS: After treatment and in follow-up, the HAMD-17 scores were lower than those before treatment in the two groups (P<0.05), and the scores in the observation group were lower than the control group (P<0.05). After treatment, the total scores and the scores of each factor of PSQI were reduced in the two groups in comparison with those before treatment except for the score of sleep efficiency in the control group (P<0.05); the total PSQI score and the scores for sleep quality, sleep latency, sleep efficiency and daytime dysfunction in the observation group were all lower than those in the control group (P<0.05). In the follow-up, except for the scores of sleep duration and sleep efficiency in the control group, the total PSQI score and the scores of all the other factors were reduced compared with those before treatment in the two groups (P<0.05); the total PSQI score and the scores of sleep quality, sleep latency, sleep duration, sleep efficiency and daytime dysfunction in the observation group were lower than the control group (P<0.05). After treatment, the levels of serum BDNF and GABA were increased in comparison with those before treatment in the observation group (P<0.05), and the level of serum BDNF was higher than that in the control group (P<0.05). CONCLUSION Acupuncture relieves depressive mood and improves sleep quality in patients with comorbid mild-to-moderate depressive disorder and insomnia. The effect mechanism may be related to the regulation of BDNF and GABA levels and the promotion of brain neurological function recovery.
Humans ; Sleep Initiation and Maintenance Disorders/therapy* ; Transcranial Magnetic Stimulation ; Brain-Derived Neurotrophic Factor ; Treatment Outcome ; Acupuncture Therapy ; Acupuncture Points ; gamma-Aminobutyric Acid ; Depressive Disorder

Child ; Humans ; Toxoplasmosis, Cerebral ; Hematopoietic Stem Cell Transplantation ; Thalassemia