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1.
Genet Mol Res ; 13(4): 10909-12, 2014 Dec 19.
Artículo en Inglés | MEDLINE | ID: mdl-25526211

RESUMEN

TNF 308 gene polymorphism and IL-10 polymorphism provided evidence in diagnosing some types of cancer. We aimed to explore the relation of gene polymorphism with gastric cancer. A total of 360 cases of gastric cancer patients were included in the study. The genotypes GG, GA, and AA of the interleukin-10-1082 gene (IL-10-1082) and the tumor necrosis factor-alpha gene (TNF-α) 308 polymorphism were examined by chromogenic detection. Three hundred healthy individuals' gene as control group were also examined. The GA 308 genotype of TNF-α differed significantly between the control group and the gastric cancer group (X(2) = 9.32, P < 0.05). Genotype frequencies of A/A (17.2%), A/G (26.2%), and G/G (9.1%) of the IL-10-1082 gene polymorphism in the gastric cancer group differed significantly compared to those of the control group (X(2) = 20.32, P < 0.05). The IL-10-1082 gene and the GA 308 genotype of the TNF-α gene were found to be susceptibility genes for gastric cancer.


Asunto(s)
Pueblo Asiatico/genética , Interleucina-10/genética , Neoplasias Gástricas/genética , Factor de Necrosis Tumoral alfa/genética , Adulto , Anciano , Pueblo Asiatico/etnología , Estudios de Casos y Controles , China/etnología , Femenino , Estudios de Asociación Genética , Predisposición Genética a la Enfermedad , Genotipo , Humanos , Masculino , Persona de Mediana Edad , Polimorfismo Genético
2.
Zhonghua Er Ke Za Zhi ; 60(6): 583-587, 2022 Jun 02.
Artículo en Zh | MEDLINE | ID: mdl-35658367

RESUMEN

Objective: To summarize the clinical phenotype of patients with developmental and epileptic encephalopathy 85 caused by SMC1A gene truncating variation. Methods: The clinical data of 4 patients with epileptic encephalopathy caused by SMC1A gene truncating variation from August 2016 to June 2020 were analyzed retrospectively. Related literatures up to October 2021 with the key words "SMC1A" "Developmental and epileptic encephalopathy 85" "SMC1A, epilepsy" and "SMC1A, truncating" in PubMed, CNKI, and Wanfang databases were searched. Relevant literature was summarized and reviewed. Results: These 4 patients were all female. The onset age of seizure were all in the infantile period. They were admitted to the hospital at 3, 2, 11 and 18 months respectively. Focal seizures occurred in all 4 patients, while 1 of them experienced infantile spasm. The characteristic of cluster was observed in all of them with an interval of 14 days to 5.0 months. The seizures were all refractory to different kinds of anti-seizure medications. All 4 patients had severe developmental retardation with microcephaly (head circumference<-2 s). The interictal electroencephalogram (EEG) was characterized by diffuse slow wave. The 4 SMC1A gene variants were p.Gly655fs, p.Glu811fs, p.Arg412fs and p.Ile143fs, all of which were de novo frameshift variation after parental validation. There were another 17 cases with SMC1A gene truncating variation reported in 6 English articles and 1 Chinese article. Among these 21 patients, who were all female, the onset of seizures occurred between 0.5 and 18.0 months of age. Seventeen cases (81%) had the characteristics of cluster attacks, and the intervals of attack cycles were different. Seizure types included generalized tonic-clonic seizure (12 cases (57%)), focal seizure (11 cases(52%)), myoclonic(4 cases(19%)), spasm (4 cases(19%)), atypical absence (3 cases(14%)), tonic seizure (2 cases (10%)), and atonia (1 case(5%)). In addition, 4 cases (19%) had status epilepsy. All patients had moderate to severe mental retardation. Microcephaly was found in all patients. Among 18 cases,EEG in 8 cases had diffuse slow wave background. Brain magnetic resonance imaging (MRI) was normal in 13 cases (62%). Other MRI changes included cerebellar atrophy (3 cases), thin corpus callosum (3 cases), and lateral ventricular enlargement (2 cases). Twenty patients did not respond well to antiepileptic drugs. Conclusions: The clinical phenotypes of patients with epilepsy encephalopathy 85 caused by SMC1A gene truncating variation are characterized by female, early-onset, clustering of seizures, development delay and microcephaly. Diffuse slow waves are shown in interictal EEG in partial. Response to treatment and prognosis are poor.


Asunto(s)
Epilepsia , Microcefalia , Espasmos Infantiles , Electroencefalografía , Epilepsia/genética , Femenino , Humanos , Lactante , Estudios Retrospectivos , Convulsiones/genética , Espasmos Infantiles/genética
3.
Ann N Y Acad Sci ; 1076: 129-36, 2006 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-17119198

RESUMEN

Workers with chronic benzene poisoning (CBP) sometimes have a white blood cell count (WBC) below 4 x 10(9)/L even after cessation of workplace exposure to benzene for years. In order to explore this phenomenon, 120 workers with CBP were divided into two groups depending on the WBC, the mean diagnostic age of CBP, benzene exposure duration, and body mass index (BMI). The proportion of genotypes of cytochrome P450 2E1 (CYP2E1), glutathione-S-transferase mu-1 (GSTM1), glutathione-S-transferase theta-1 (GSTT1), myeloperoxidase (MPO), and NAD(P)H, quinone oxidoreductase 1 (NQO1) were compared between workers with WBC <4 x 10(9)/L and those with WBC > or =4 x 10(9)/L. With methods of logistic regression, a risk model was set up to predict the prognosis of CBP workers. The results indicated that the BMI of workers with WBC <4 x 10(9)/L was lower than that of workers with WBC of > or =4 x 10(9)/L (21.40 +/- 2.76 versus 23.09 +/- 3.36, P = 0.01), and the logistic regression model suggested there was a 4.5-fold increased risk among workers carrying GSTT1 null genotype (95% CI= 1.13- 17.54) compared with workers with GSTT1 non-null genotype. Our findings suggest that benzene exposure duration, BMI, and GSTT1 genotype may impact prognosis of the CBP workers.


Asunto(s)
Benceno/envenenamiento , Enzimas/genética , Polimorfismo Genético , Adulto , China , Enfermedad Crónica , Enzimas/metabolismo , Femenino , Humanos , Masculino , Persona de Mediana Edad , Pronóstico
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