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1.
Clin Chim Acta ; 497: 147-152, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31356790

RESUMO

BACKGROUND: Defects in the human thyroid stimulating hormone receptor (TSHR) gene are reported to be one of the causes of congenital hypothyroidism (CH). We aimed to identify mutations in Chinese patients with CH and analyze the relationships between TSHR phenotypes and clinical phenotypes. METHODS: 220 patients with primary CH were screened for TSHR mutations by performing next-generation sequencing. All the exons and exon-intron boundaries of TSHR were analyzed. The function of 8 mutants in TSHR were further investigated in vitro. RESULTS: Among 220 patients with CH, 15 distinct TSHR mutations were identified in 13 patients (5.91%, 13/220, including our previous reported 110 patients, carried with 10 mutations in 8 patients). We found five distinct mutations in the additional cohort of 110 CH patients and identified 7 mutations (including a novel mutation, p.S567R) were loss-of-function mutations. CONCLUSION: Our study indicated that the prevalence of TSHR mutations was 5.91% among studied Chinese patients with CH. One novel TSHR variant was found and four genetic alterations revealed important role of the Ile216, Ala275, Asn372, Ser567 residues in signaling.

2.
Mol Cell Endocrinol ; 494: 110492, 2019 Aug 20.
Artigo em Inglês | MEDLINE | ID: mdl-31255731

RESUMO

Approximately 20% of Graves' disease (GD) patients may result eventually in hypothyroidism in their natural course. Uterus globulin-associated protein 1 (UGRP1) was associated with GD in our previous study. Here we investigated the role of UGRP1 in the development of autoimmune thyroid disease (AITD). The results showed that UGRP1 was expressed in the thyrocytes of most Hashimoto's thyroiditis (HT) patients and a proportion of GD patients (293 HT and 198 GD). The pathologic features of UGRP1-positive thyrocytes resembled "Hürthle cells", and were surrounded by infiltrated leukocytes. The positivity rate of TPOAb in UGRP1-positive GD patients was much higher than that in -negative GD patients. Moreover, UGRP1 was co-expressed with Fas and HLA-DR in the thyrocytes of AITD patients. We also found IL-1ß but not Th1 or Th2 cytokines was able to upregulate the expression of UGRP1. Our findings indicated that UGRP1 may be a novel marker in thyrocytes to predict GD patients who develop hypothyroidism.

3.
JAMA Netw Open ; 2(5): e193348, 2019 May 03.
Artigo em Inglês | MEDLINE | ID: mdl-31050781

RESUMO

Importance: Thyrotoxic periodic paralysis (TPP) is a potentially lethal complication of hyperthyroidism. However, only 1 specific susceptibility locus for TPP has been identified. Additional genetic determinants should be detected so that a prediction model can be constructed. Objective: To investigate the genetic architecture of TPP and distinguish TPP from Graves disease cohorts. Design, Setting, and Participants: This population-based case-control study used a 2-stage genome-wide association study to investigate the risk loci of TPP and weighted genetic risk score to construct a TPP prediction model with data from a Chinese Han population recruited in hospitals in China from March 2003 to December 2015. The analysis was conducted from November 2014 to August 2016. Main Outcomes and Measures: Loci specifically associated with TPP risk and those shared with Graves disease and prediction model of joint effects of TPP-specific loci. Results: A total of 537 patients with TPP (mean [SD] age, 35 [11] years; 458 male) 1519 patients with Graves disease and no history of TPP (mean [SD] age, 38 [13] years; 366 male), and 3249 healthy participants (mean [SD] age, 46 [10] years; 1648 male) were recruited from the Han population by hospitals throughout China. Two new TPP-specific susceptibility loci were identified: DCHS2 on 4q31.3 (rs1352714: odds ratio [OR], 1.58; 95% CI, 1.35-1.85; P = 1.24 × 10-8) and C11orf67 on 11q14.1 (rs2186564: OR, 1.50; 95% CI, 1.29-1.74; P = 2.80 × 10-7). One previously reported specific locus was confirmed on 17q24.3 near KCNJ2 (rs312729: OR, 2.08; 95% CI, 1.83-2.38; P = 8.02 × 10-29). Meanwhile, 2 risk loci (MHC and Xq21.1) were shared by Graves disease and TPP. After 2 years of treatment, the ratio of persistent thyrotropin receptor antibody positivity was higher in patients with TPP than in patients with Graves disease and no history of TPP (OR, 3.82; 95% CI, 2.04-7.16; P = 7.05 × 10-6). The prediction model using a weighted genetic risk score and 11 candidate TPP-specific single-nucleotide polymorphisms had an area under the curve of 0.80. Conclusions and Relevance: These findings provide evidence that TPP is a novel molecular subtype of Graves disease. The newly identified loci, along with other previously reported loci, demonstrate the growing complexity of the heritable contribution to TPP pathogenesis. A complete genetic architecture will be helpful to understand the pathophysiology of TPP, and a useful prediction model could prevent the onset of TPP.

4.
Zhongguo Zhong Yao Za Zhi ; 44(3): 500-508, 2019 Feb.
Artigo em Chinês | MEDLINE | ID: mdl-30989915

RESUMO

This Paper aimed to analyze and identify the chemical constituents from the seeds of Celosia argentea by UPLC-ESI-Q-TOF-MS. The analysis was performed on an ACQUITY HSS T3 reverse phase column(2.1 mm ×100 mm, 1.8 µm). The mobile phase consisting of 0.1% formic acid acetonitrile and 0.1% aqueous formic acid was used for gradient elution, and the flow rate was 0.4 mL·min~(-1). Mass spectrometry was applied for the qualitative analysis under positive and negative ionization modes and ESI ion source. Data was analyzed by Masslynx 4.1 software, literatures in SciFinder database, and standards. A total of 49 compounds, including 14 triterpenoids, 17 flavonoids, 11 cyclic peptides, 2 phenols, 2 organic acids, and 3 steroids were putatively identified. Among them, 19 compounds were firstly reported from this species. In-depth chemical constituent analysis for the seeds of C. argentea were accomplished here, and the findings could lay a good foundation for its quality control and clarifying the material basis of its efficacy.


Assuntos
Celosia/química , Compostos Fitoquímicos/análise , Sementes/química , Cromatografia Líquida de Alta Pressão , Espectrometria de Massas por Ionização por Electrospray
5.
J Clin Endocrinol Metab ; 104(6): 2121-2130, 2019 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-30649410

RESUMO

CONTEXT: Graves disease (GD) is a common thyroid-specific autoimmune disease and one of the most heritable diseases in the population. We present a risk-prediction model, including confirmed, known genetic variants associated with GD. DESIGN: To construct a stable-prediction model, we used known GD susceptibility single nucleotide polymorphisms (SNPs) as markers and trained and tested our model in a cohort of 4897 patients with GD and 5098 healthy controls. We weighted the contribution of each SNP to the disease to calculate the weighted genetic risk score (wGRS) for each individual. The efficiency of this model can be estimated by the area under the curve (AUC) receiver operator characteristic curve and the specificity and sensitivity of each wGRS. RESULTS: With the 20 confirmed GD risk-related SNPs, our wGRS-prediction model could predict patients with GD from the general population (AUC 0.70 [95% CI: 0.69 to 0.71]) and did especially well in predicting patients with GD with persisting thyroid-stimulating hormone receptor antibody positive [pTRAb+; AUC 0.74 (95% CI: 0.72 to 0.76)]. We also evaluated how the four pTRAb+ specific risk SNPs predicted patients with GD with pTRAb+ among all patients with GD [AUC 0.62 (95% CI: 0.61 to 0.63)]. For clinical use, we partitioned subjects in each set into different risk categories to generate the wGRS cutoff of high risk for reference. CONCLUSIONS: Our study provides an approach to predict GD risk in the general population by the calculation of the wGRS of 20 known GD susceptibility variants. The wGRS-prediction model was more stable and convenient, whereas the prediction performance was still modest.

6.
Clin Endocrinol (Oxf) ; 89(6): 840-848, 2018 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-30176063

RESUMO

OBJECTIVE: We aimed to investigate the six susceptibility loci of GD identified from European population in Chinese Han population and further to estimate the genetic heterogeneity of them in stratification of our GD patients. DESIGN: Dense mapping studies based on GWAS. PATIENTS: A total of 1536 GD patients and 1516 controls in GWAS stage and 1994 GD patients and 2085 controls and 5033 GD patients and 5389 controls in two replication stages. MEASUREMENTS: Based on our previous GWAS data, independently GD-associated SNPs in each region were identified by TagSNP analysis and logistic regression analysis. The association of these SNPs was investigated in 1994 GD patients and 2085 controls, and then, the significantly associated SNPs (P < 0.05) were further genotyped in a second cohort including 5033 GD patients and 5389 controls. RESULTS: After the first replication stage, four SNPs from three regions with Pfirst  < 0.05 were further selected and genotyped in another independent cohort. The association of two SNPs with GD was confirmed in combined Chinese cohorts: rs12575636 at 11q21 (Pcombined  = 7.55 × 10-11 , OR = 1.27) and rs1881145 in TRIB2 at 2p25.1 (Pcombined  = 5.59 × 10-8 , OR = 1.14). Further study disclosed no significant difference for these SNPs between GD subsets. However, eQTL data revealed that SESN3 could be a potential susceptibility gene of GD in 11q21 region. CONCLUSIONS: Out of the six susceptibility loci of GD identified from European population, two risk loci were confirmed in a large Chinese Han population. There is variability in GD genetic susceptibility in different ethnic groups. SESN3 is a potential susceptible gene of GD in 11q21.

7.
Eur J Endocrinol ; 178(6): 623-633, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-29650690

RESUMO

OBJECTIVE: Congenital hypothyroidism (CH), the most common neonatal metabolic disorder, is characterized by impaired neurodevelopment. Although several candidate genes have been associated with CH, comprehensive screening of causative genes has been limited. DESIGN AND METHODS: One hundred ten patients with primary CH were recruited in this study. All exons and exon-intron boundaries of 21 candidate genes for CH were analyzed by next-generation sequencing. And the inheritance pattern of causative genes was analyzed by the study of family pedigrees. RESULTS: Our results showed that 57 patients (51.82%) carried biallelic mutations (containing compound heterozygous mutations and homozygous mutations) in six genes (DUOX2, DUOXA2, DUOXA1, TG, TPO and TSHR) involved in thyroid hormone synthesis. Autosomal recessive inheritance of CH caused by mutations in DUOX2, DUOXA2, TG and TPO was confirmed by analysis of 22 family pedigrees. Notably, eight mutations in four genes (FOXE1, NKX2-1, PAX8 and HHEX) that lead to thyroid dysgenesis were identified in eight probands. These mutations were heterozygous in all cases and hypothyroidism was not observed in parents of these probands. CONCLUSIONS: Most cases of congenital hypothyroidism in China were caused by thyroid dyshormonogenesis rather than thyroid dysgenesis. This study identified previously reported causative genes for 57/110 Chinese patients and revealed DUOX2 was the most frequently mutated gene in these patients. Our study expanded the mutation spectrum of CH in Chinese patients, which was significantly different from Western countries.


Assuntos
Grupo com Ancestrais do Continente Asiático/genética , Hipotireoidismo Congênito/genética , China , Oxidases Duais/genética , Feminino , Fatores de Transcrição Forkhead/genética , Estudos de Associação Genética , Sequenciamento de Nucleotídeos em Larga Escala , Proteínas de Homeodomínio/genética , Humanos , Lactente , Recém-Nascido , Iodeto Peroxidase/genética , Masculino , Proteínas de Membrana/genética , Mutação , Fator de Transcrição PAX8/genética , Linhagem , Receptores da Tireotropina/genética , Análise de Sequência de DNA , Tireoglobulina/genética , Disgenesia da Tireoide/genética , Fator Nuclear 1 de Tireoide/genética , Fatores de Transcrição/genética
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