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 establish a UPLC-MS/MS method for the simultaneous content determination of Asp,Guad,Adeno,Arg,Ade,Cyti,Phe,Leu,Ile,Glu,Ser,Gln,Gly,Ala,Hyp,Thr,Pro and Lys in Asini Corii Colla.METHODS The analysis was performed on a 45℃ thermostatic Waters BEH C18column(2.1 mm×50 mm,1.7 μm),with the mobile phase comprising of acetonitrile(containing 0.1% formic acid)-water flowing at 0.35 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive ion scanning with multiple reaction monitoring mode.Subsequently,chemical pattern recognition was performed by hierarchical clustering analysis,principal component analysis and orthogonal partial least squares-discriminant analysis.RESULTS Eighteen nucleosides and free amino acids showed good linear relationships within their own ranges(r≥0.999 0),whose average recoveries were 98.0%-104.9% with the RSDs of 1.6%-4.9% .Seventeen batches of samples were clustered into two categories,two principal components demonstrated the accumulative variance contribution rate of 60.75%,Leu,Phe,Ade and Guad were potential index constituents.CONCLUSION This stable and reliable method can be used for the quality control of Asini Corii Colla.

Endocrine-resistance remains a major challenge in estrogen receptor α positive (ERα⁺) breast cancer (BC) treatment and constitutively active somatic mutations in ERα are a common mechanism. There is an urgent need to develop novel drugs with new mode of mechanism to fight endocrine-resistance. Given aberrant ERα activity, we herein report the identification of novel covalent selective estrogen receptor degraders (cSERDs) possessing the advantages of both covalent and degradation strategies. A highly potent cSERD 29c was identified with superior anti-proliferative activity than fulvestrant against a panel of ERα⁺ breast cancer cell lines including mutant ERα. Crystal structure of ERα‒ 29c complex alongside intact mass spectrometry revealed that 29c disrupted ERα protein homeostasis through covalent targeting C530 and strong hydrophobic interaction collied on H11, thus enforcing a unique antagonist conformation and driving the ERα degradation. These significant effects of the cSERD on ERα homeostasis, unlike typical ERα degraders that occur directly via long side chains perturbing the morphology of H12, demonstrating a distinct mechanism of action (MoA). In vivo, 29c showed potent antitumor activity in MCF-7 tumor xenograft models and low toxicity. This proof-of-principle study verifies that novel cSERDs offering new opportunities for the development of innovative therapies for endocrine-resistant BC.

A gas chromatography-triple quadrupole mass spectrometry(GC-MS) method was established for the simultaneous determination of eleven volatile components in Cinnamomi Oleum and the chemical pattern recognition was utilized to evaluate the quality of essential oil obtained from Cinnamomi Fructus medicinal materials in various habitats. The Cinnamomi Fructus medicinal materials were treated by water distillation, analyzed using GC-MS, and detected by selective ion monitoring(SIM), and the internal standards were used for quantification. The content results of Cinnamomi Oleum from various batches were analyzed by hierarchical clustering analysis(HCA), principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) for the statistic analysis. Eleven components showed good linear relationships within their respective concentration ranges(R~2>0.999 7), with average recoveries of 92.41%-102.1% and RSD of 1.2%-3.2%(n=6). The samples were classified into three categories by HCA and PCA, and 2-nonanone was screened as a marker of variability between batches in combination with OPLS-DA. This method is specific, sensitive, simple, and accurate, and the screened components can be utilized as a basis for the quality control of Cinnamomi Oleum.
Gas Chromatography-Mass Spectrometry ; Plant Oils ; Oils, Volatile ; Drugs, Chinese Herbal/analysis* ; Cluster Analysis

OBJECTIVE: To observe the clinical therapeutic effect of filiform-fire needling of "Biaoben acupoint combination" on the sequelae of patients with coronavirus disease 2019 (COVID-19) during the recovery period. METHODS: A total of 33 patients with COVID-19 during the recovery period were treated with filiform-fire needling at the acupoints of Mingmen (GV 4), Shenzhu (GV 12), Gaohuang (BL 43), Zusanli (ST 36) and Shangjuxu (ST 37), etc., once every other day, 3 times a week, and 3 times was one course of treatment and totally 2 courses of treatment were required. The TCM symptom, Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD) scores, pulmonary function indexes (forced vital capacity [FVC], forced expiratory volume in one second [FEV1], peak expiratory flow [PEF]) and chest CT imaging change were observed before and after treatment, and the therapeutic effect was evaluated. RESULTS: After treatment, the scores of TCM symptom, HAMA and HAMD were decreased compared with those before treatment (P<0.05), and the levels of FVC, FEV1 and PEF were increased compared with those before treatment (P<0.05), and the recovery rate of 22 patients with pulmonary ventilation dysfunction was 86.4% (19/22). After treatment, the lung shadow area was smaller than that before treatment (P<0.05). The effective rate of 25 patients with lung CT abnormalities was 84.0% (21/25). After treatment, 23 cases were cured, 5 cases were markedly effective, 4 cases were effective, 1 case was ineffective, the cured and markedly effective rate was 84.8%. CONCLUSION The filiform-fire needling of "Biaoben acupoint combination" could significantly reduce the sequelae of cough, fatigue, chest tightness, etc. and mental symptoms such as anxiety and depression in patients with COVID-19 during the recovery period, and promote inflammatory exudation absorption of pulmonary lesion and improve lung ventilation function.
Acupuncture Points ; Acupuncture Therapy ; COVID-19/therapy* ; Humans ; Lung ; Vascular Surgical Procedures

ObjectiveTo retrospectively analyze the clinical data of 52 patients with coronavirus disease-2019 （COVID-19） and explore the clinical efficacy of modified Sanxiaoyin on mild/moderate COVID-19 patients. MethodThe propensity score matching method was used to collect the clinical data of mild or moderate COVID-19 patients enrolled in the designated hospital of the Second Hospital of Jingzhou from December 2019 to May 2020. A total of 26 eligible patients who were treated with modified Sanxiaoyin were included in the observation group， and the 26 patients treated with conventional method were the regarded as the control. The disappearance of clinical symptoms， disappearance time of main symptoms， efficacy on traditional Chinese medicine （TCM） symptoms， hospitalization duration， laboratory test indicators， and CT imaging changes in the two groups were compared. ResultThe general data in the two groups were insignificantly different and thus they were comparable. After 7 days of treatment， the disappearance rate of fever， cough， fatigue， dry throat， anorexia， poor mental state， and poor sleep quality in the observation group was higher than that in the control group （P<0.05）， and the difference in the disappearance rate of expectoration and chest distress was insignificant. For the cases with the disappearance of symptoms， the main symptoms （fever， cough， fatigue， dry throat， anorexia， chest distress） disappeared earlier in the observation group than in the control group （P<0.01）. After 7 days of treatment， the scores of the TCM symptom scale of both groups decreased （P<0.01）， and the decrease of the observation group was larger that of the control group （P<0.01）. All patients in the two groups were cured and discharged. The average hospitalization duration in the observation group ［（12.79±2.68） d］ was shorter than that in the control group ［（15.27±3.11） d］ （P<0.01）. The effective rate in the observation group （92.31%， 24/26） was higher than that in the control group （76.92%， 20/26） . After 7 days of treatment， the lymphocyte （LYM） count increased （P<0.05）， and white blood cell （WBC） count and neutrophil （NEUT） count decreased insignificantly in the two groups. Moreover， levels of C-reactive protein （CRP）， erythrocyte sedimentation rate （ESR）， and procalcitonin （PCT） reduced in the two groups after treatment （P<0.01） and the reduction in the observation group was larger than that in the control group （P<0.01）. Through 7 days of treatment， the total effective rate on pulmonary shadow in the observation group （90.00%， 18/20） was higher than that in the control group （77.27%， 17/22） （P>0.05） and the improvement of lung shadow in the observation group was better than that in the control group （P<0.01）. ConclusionModified Sanxiaoyin can significantly alleviate fever， cough， fatigue， anorexia， chest distress， poor sleep quality， and other symptoms of patients with mild or moderate COVID-19， improve biochemical indicators， and promote the recovery of lung function. This paper provides clinical evidence for the application of modified Sanxiaoyin in the treatment of mild or moderate COVID-19.

ObjectiveTo establish a traditional Chinese medicine （TCM） syndrome model with yin deficiency and internal heat， discuss the rationality of model evaluation， and analyze differentially expressed genes in multiple dimensions to explore the molecular mechanism-signaling pathways as well as key targets of Baihe Dihuangtang （BHDH） in treating depression with Yin deficiency and internal heat. MethodForty male SD rats were randomly divided into a blank control group，a model group，a fluoxetine group （positive drug），a BHDH group， and a Zhibai Dihuangtang group （positive drug for Yin deficiency and internal heat）. The depression model with Yin deficiency and internal heat was induced by chronic unpredictable mild stress （CUMS）combined with Chinese herbal drugs with warm and heat nature. The model established was comprehensively evaluated by the detection of the basic condition， behavioral performance， and biochemical indicators of rats in each group. The differentially expressed genes were screened out by mRNA sequencing and underwent Gene Ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analyses. The protein-protein interaction （PPI） network was plotted and key genes were analyzed to explore the underlying mechanism of BHDH in treating depression with Yin deficiency and internal heat. ResultThe comparison of basic conditions， behavioral assays， energy metabolism， endocrine hormones， cytokines， and neurotransmitters showed that the model was properly induced. BHDH could significantly improve depression with Yin deficiency and internal heat by regulating the pathways related to the nervous system， endocrine system， and inflammatory and immune system. The key genes of the PPI network were Fos， Epha8， Npy2r， Htr2c， and Nr4a1. ConclusionUnder the guidance of TCM theories of treatment based on syndrome differentiation and etiology and pathogenesis，this study established a depression model with yin deficiency and internal heat in animals and evaluation system in accordance with the symptoms and signs of emotional diseases， and further confirmed the scientificity of the modeling method and the underlying mechanism of BHDH in interfering with depression with Yin deficiency and internal heat based on the results of mRNA sequencing.