原发性纤毛运动障碍一例并文献复习

目的:报道1例原发性纤毛运动障碍(primary ciliary dyskinesia,PCD)患者的临床和病理资料,总结其临床特征和诊治要点。方法:对1例可疑原发性纤毛运动障碍患者进行病史采集、体格检查、胸部X线和CT、肺功能检查、支气管镜检查及支气管黏膜活检、电镜超微病理观察、染色体检查等相关检查,确诊为原发性纤毛运动障碍。结合该例患者诊治过程进行文献分析,明确原发性纤毛运动障碍的诊治要点及注意事项。结果:该例患者具有咳嗽、喘息等呼吸道症状,胸部X线及CT提示肺部感染及脏器全反位;肺功能提示基本正常且支气管激发试验为阴性;支气管镜检查示支气管反位及支气管炎症,取黏膜活检提示支气管黏膜慢性炎症改变;超微病理发现气道上皮细胞呈现形态扁平化、纤毛极性消失、细胞内纤毛,纤毛动力臂结构未见异常;染色体检查:46,XX,400-550条带阶段未见染色体异常;确诊为原发性纤毛运动障碍。结论:原发性纤毛运动障碍临床少见且复杂多样,容易漏诊和误诊。临床症状、胸部影像学、纤毛超微结构观察以及基因检测等相关检查联合应用有助于原发性纤毛运动障碍的临床诊断和治疗。对于呼吸道感染迁延不愈并发内脏反位者,无论有无鼻窦炎和支气管扩张,均应考虑原发性纤毛运动障碍存在可能,应当及时进行呼吸道黏膜超微病理学检查,以便尽早进行诊断和干预,减少和延缓并发症的发生。     

Cardiac ion channel gene mutations in Greek long QT syndrome patients

The long QT syndrome (LQTS) is an inherited cardiac arrhythmia that may lead to sudden death in the absence of structural heart disease. Mutations in the cardiac potassium and sodium channel genes can be found in approximately 70% of patients with a highly probable clinical diagnosis. In this study, we aimed to genotype and explore the yield of genetic testing of LQTS patients from Greece, for whom there are no collective published data available. We clinically evaluated and genetically screened 17 unrelated patients for mutations in theKCNQ1, KCNH2, SCN5A, KCNE1, andKCNE2 cardiac ion channel genes. Genetic testing was positive in 6 out of 8 patients with a highly probable clinical diagnosis of LQTS and negative for all the other patients. Two patients carriedKCNQ1 mutations (c.580G>C, c.1022C>T), while 4 patients carriedKCNH2 mutations (c.202T>C, c.1714G>A, c.3103delC, c.3136C>T). To the best of our knowledge, the last mentioned mutation (c.3136C>T) is novel. Moreover, 27 single-nucleotide polymorphisms (SNPs) were detected, 5 of which are novel. Our preliminary data indicate a low genetic diversity of the Greek LQTS genetic pool, and are in accordance with international data that genetic testing of the major LQTS genes is efficient in genotyping the majority of patients with a strong clinical diagnosis. Therefore, the transition of an LQTS genetic screening program from research to the diagnostic setting within our ethnic background is feasible.     

Tracking Genomic Cancer Evolution for Precision Medicine: The Lung TRACERx Study

The importance of intratumour genetic and functional heterogeneity is increasingly recognised as a driver of cancer progression and survival outcome. Understanding how tumour clonal heterogeneity impacts upon therapeutic outcome, however, is still an area of unmet clinical and scientific need. TRACERx (TRAcking non-small cell lung Cancer Evolution through therapy [Rx]), a prospective study of patients with primary non-small cell lung cancer (NSCLC), aims to define the evolutionary trajectories of lung cancer in both space and time through multiregion and longitudinal tumour sampling and genetic analysis. By following cancers from diagnosis to relapse, tracking the evolutionary trajectories of tumours in relation to therapeutic interventions, and determining the impact of clonal heterogeneity on clinical outcomes, TRACERx may help to identify novel therapeutic targets for NSCLC and may also serve as a model applicable to other cancer types.     

MitoPhen database: a human phenotype ontology-based approach to identify mitochondrial DNA diseases

Diagnosing mitochondrial disorders remains challenging. This is partly because the clinical phenotypes of patients overlap with those of other sporadic and inherited disorders. Although the widespread availability of genetic testing has increased the rate of diagnosis, the combination of phenotypic and genetic heterogeneity still makes it difficult to reach a timely molecular diagnosis with confidence. An objective, systematic method for describing the phenotypic spectra for each variant provides a potential solution to this problem. We curated the clinical phenotypes of 6688 published individuals with 89 pathogenic mitochondrial DNA (mtDNA) mutations, collating 26 348 human phenotype ontology (HPO) terms to establish the MitoPhen database. This enabled a hypothesis-free definition of mtDNA clinical syndromes, an overview of heteroplasmy-phenotype relationships, the identification of under-recognized phenotypes, and provides a publicly available reference dataset for objective clinical comparison with new patients using the HPO. Studying 77 patients with independently confirmed positive mtDNA diagnoses and 1083 confirmed rare disease cases with a non-mitochondrial nuclear genetic diagnosis, we show that HPO-based phenotype similarity scores can distinguish these two classes of rare disease patients with a false discovery rate <10% at a sensitivity of 80%. Enriching the MitoPhen database with more patients will improve predictions for increasingly rare variants.     

X染色体变异对男性精神发育迟滞致病性的研究进展

精神发育迟滞(旧称智力低下)作为儿科神经科常见的一组疾患,具有高度的遗传和表型异质性,大约25%~50%的精神发育迟滞是由遗传因素引起的,其中X染色体基因/基因组变异占25%~30%,导致X连锁的精神发育迟滞。X连锁的精神发育迟滞患者占所有精神发育迟滞患者的10%~15％以上,约20%~25％的男性精神发育迟滞归因于X连锁的精神发育迟滞。精神发育迟滞男女患病比例为1.3:1,这与男性只有一条X染色体的遗传背景有关。随着新一代基因组检测技术的快速发展和临床应用,尤其是全外显子测序、高深度测序、X染色体深度测序和全基因组芯片杂交,这些大大改善了精神发育迟滞患者的X染色体基因/基因组变异检出。本文综述了致精神发育迟滞的X染色体基因组/基因变异特点、其对男性精神发育迟滞的致病性,以及如何采用新测序技术提高检出率,旨在促进科研人员认识X染色体变异在男性精神发育迟滞的致病性,拓宽精神发育迟滞遗传病因的认识,同时也为遗传咨询和产前诊断提供理论依据。     

非梗阻性无精子症的遗传学基础及研究进展

非梗阻性无精子症(non-obstructive azoospermia,NOA)是导致男性不育的重要原因,影响着约0.6%的男性或10%的不育男性.NOA是一种由多因素引起的具有高度遗传异质性和表型异质性的复杂疾病,其中遗传学病因包括染色体异常、Y染色体微缺失、基因突变以及表观遗传修饰等.目前临床上针对NOA患者的遗传学检测,还仅限于结合附睾和睾丸穿刺活检的核型分析及Y染色体微缺失检测,而且一直缺乏理想的治疗方案.因此,深入解析NOA的具体分子机理,对阐明NOA的病因、提高男性不育的临床诊断和治疗具有重要意义.本综述将从NOA的遗传学基础、NOA的病理特征、临床诊断及治疗等方面进行系统的探讨.     

Diagnosis and treatment of metal-induced side-effects

Environmental factors are recognized as a cause of the increasing frequency of allergic and autoimmune diseases. In addition to external pollutants, metal ions released from dental restorations or from other body implants might trigger inflammation in susceptible subjects. In humans, genes governing metal-induced inflammation and autoimmunity are not yet known. In clinical praxis, metal-sensitive patients will present various symptoms ranging from oral mucosal changes and skin disease to excessive fatigue and autoimmune diseases. Since genetic markers of genetic susceptibility in man are not known, one has to rely on the phenototypic markers. Such biomarkers might be certain detoxification enzymes but also the presence of metal-specific memory cells in the blood. With the increasing use of metal implants in medicine and dentistry, it is important to have a proper tool for the diagnosis of metal allergy in susceptible subjects. After nickel, gold is now the second most common sensitizer. In addition to patch test, an in vitro blood test, an optimized commercially available lymphocyte transformation test (MELISA) is discussed. Both tests were used for the diagnosis of metal allergy in a selected group of 15 patients who suffered from clinical metal sensitivity in addition to other health problems. The concordance of the two tests was good but MELISA detected more metal allergies than patch test. The removal of incompatible dental material (RID) resulted in long-term health improvement in the majority of patients. We postulate that in vivo, metal ions activate T-cells, initiating systemic inflammation, which, through cytokines, affects the brain and hypothalamus-pituitary-adrenal axis. We postulate that in vivo metal ions will activate T-cells starting systemic inflammation which, through cytokines affect the brain and hypothalamus-pituitary-adrenal (HPA) axis. The treatment and rehabilitation of metal sensitive patients is based on a firm understanding and recognition of individual susceptibility. RID has to be done done with extreme caution and according to standard working protocol. If performed properly, this treatment can result in decreased systemic inflammation and improved health in sensitized patients.     

Genetic variation screening of TNNT2 gene in a cohort of patients with hypertrophic and dilated cardiomyopathy

Mutations in troponin T (TNNT2) gene represent the important part of currently identified disease-causing mutations in hypertrophic (HCM) and dilated (DCM) cardiomyopathy. The aim of this study was to analyze TNNT2 gene exons in patients with HCM and DCM diagnosis to improve diagnostic and genetic consultancy in affected families. All 15 exons and their flanking regions of the TNNT2 gene were analyzed by DNA sequence analysis in 174 patients with HCM and DCM diagnosis. We identified genetic variations in TNNT2 exon regions in 56 patients and genetic variations in TNNT2 intron regions in 164 patients. Two patients were found to carry unique mutations in the TNNT2 gene. Limited genetic screening analysis is not suitable for routine testing of disease-causing mutations in patients with HCM and DCM as only individual mutation-positive cases may be identified. Therefore, this approach cannot be recommended for daily clinical practice even though, due to financial constraints, it currently represents the only available strategy in a majority of cardio-centers.     

Review disorders of sex development: The evolving role of genomics in diagnosis and gene discovery

Disorders of Sex Development (DSDs) are a major paediatric concern and are estimated to occur in around 1.7% of all live births (Fausto‐Sterling, Sexing the Body: Gender Politics and the Construction of Sexuality, Basic Books, New York, 2000). They are often caused by the breakdown in the complex genetic mechanisms that underlie gonadal development and differentiation. Having a genetic diagnosis can be important for patients with a DSD: it can increase acceptance of a disorder often surrounded by stigma, alter clinical management and it can assist in reproductive planning. While Massively Parallel Sequencing (MPS) is advancing the genetic diagnosis of rare Mendelian disorders, it is not yet clear which MPS assay is best suited for the clinical diagnosis of DSD patients and to what extent other established methods are still relevant. To complicate matters, DSDs represent a wide spectrum of disorders caused by an array of different genetic changes, many of which are yet unknown. Here we discuss the different genetic lesions that are known to contribute to different DSDs, and review the utility of a range of MPS approaches for diagnosing DSD patients. Birth Defects Research (Part C) 108:337–350, 2016. © 2016 Wiley Periodicals, Inc.     

Ethical issues in the diagnostic genetic testing process

The diagnostic genetic testing process has certain unique ethical features and deserves special consideration. The purpose of this study was to determine through empirical research, using focussed interview, what ethical issues are involved in the diagnostic genetic testing process. This article describes views and perceptions of adult patients, parents of child patients and various personnel groups (n = 30). The ethical issues were analysed classified into three main categories: a) personnel characteristics, including personality, professional skills, morals and values; b) realization of ethical principles in the examination process, with subcategories of knowledge, autonomy, data protection and equity; and c) consequences of genetic testing, including patients' control over their own lives, manifestation of heterogeneity and outlook on the world. Problematic ethical issues in all three main categories were described in a more many‐sided way by parents and personnel than by adult patients. In the future, attention should be paid to the content areas highlighted by the study, in both clinical practice and further studies.     

Ethical issues in the diagnostic genetic testing process

The diagnostic genetic testing process has certain unique ethical features and deserves special consideration. The purpose of this study was to determine through empirical research, using focussed interview, what ethical issues are involved in the diagnostic genetic testing process. This article describes views and perceptions of adult patients, parents of child patients and various personnel groups (n=30). The ethical issues were analysed classified into three main categories: a) personnel characteristics, including personality, professional skills, morals and values; b) realization of ethical principles in the examination process, with subcategories of knowledge, autonomy, data protection and equity; and c) consequences of genetic testing, including patients' control over their own lives, manifestation of heterogeneity and outlook on the world. Problematic ethical issues in all three main categories were described in a more many-sided way by parents and personnel than by adult patients. In the future, attention should be paid to the content areas highlighted by the study, in both clinical practice and further studies.     

Personalized diagnosis by cached solutions with hypertension as a study model

Statistical modeling of links between genetic profiles with environmental and clinical data to aid in medical diagnosis is a challenge. Here, we present a computational approach for rapidly selecting important clinical data to assist in medical decisions based on personalized genetic profiles. What could take hours or days of computing is available on-the-fly, making this strategy feasible to implement as a routine without demanding great computing power. The key to rapidly obtaining an optimal/nearly optimal mathematical function that can evaluate the "disease stage" by combining information of genetic profiles with personal clinical data is done by querying a precomputed solution database. The database is previously generated by a new hybrid feature selection method that makes use of support vector machines, recursive feature elimination and random sub-space search. Here, to evaluate the method, data from polymorphisms in the renin-angiotensin-aldosterone system genes together with clinical data were obtained from patients with hypertension and control subjects. The disease "risk" was determined by classifying the patients' data with a support vector machine model based on the optimized feature; then measuring the Euclidean distance to the hyperplane decision function. Our results showed the association of renin-angiotensin-aldosterone system gene haplotypes with hypertension. The association of polymorphism patterns with different ethnic groups was also tracked by the feature selection process. A demonstration of this method is also available online on the project's web site.     

超声心动图对高血压心室肥厚患者左心功能的评价及意义

目的:本研究利用超声心动图检测高血压心室肥厚患者左心房结构,探讨当左心结构发生变化时心脏功能所受到的影响,为高血压及其并发症的临床诊断提供检测及诊断参考。方法:选取2011年5月-2013年1月在我院接受检查的高血压心室肥厚患者76例作为观察组,另选取同期经体检的健康人群60例为健康对照组,利用超声心动图观察左心功能和结构,比较两组研究对象的左心房内径(LAD)、心肌质量(LVMM)、舒张末容积(LVEDV)、收缩末容积(LVESV)、左心室射血分数(LVEF)及二尖瓣口舒张末期流速比值(E/A)。结果:两组间心室收缩功能无显著性差异(P0.05);高血压组LAD高于对照组,LVEF及E/A低于对照组,差异具有统计学意义(P0.05);高血压Ⅰ期、Ⅱ期、Ⅲ期患者间比较,左房内径随血压的升高逐渐递增,而左心室射血分数和二尖瓣口舒张期流速比值则逐渐递减,差异具有统计学意义(P0.05)。结论:超声心动图可以直观的显示高血压心室肥厚患者左心功能及血流动力学的变化,对临床诊断具有积极的意义。     

Bayesian nonparametric inference for panel count data with an informative observation process

In this paper, the panel count data analysis for recurrent events is considered. Such analysis is useful for studying tumor or infection recurrences in both clinical trial and observational studies. A bivariate Gaussian Cox process model is proposed to jointly model the observation process and the recurrent event process. Bayesian nonparametric inference is proposed for simultaneously estimating regression parameters, bivariate frailty effects, and baseline intensity functions. Inference is done through Markov chain Monte Carlo, with fully developed computational techniques. Predictive inference is also discussed under the Bayesian setting. The proposed method is shown to be efficient via simulation studies. A clinical trial dataset on skin cancer patients is analyzed to illustrate the proposed approach.     

Automatic Diagnosis of Pathological Myopia from Heterogeneous Biomedical Data

Pathological myopia is one of the leading causes of blindness worldwide. The condition is particularly prevalent in Asia. Unlike myopia, pathological myopia is accompanied by degenerative changes in the retina, which if left untreated can lead to irrecoverable vision loss. The accurate diagnosis of pathological myopia will enable timely intervention and facilitate better disease management to slow down the progression of the disease. Current methods of assessment typically consider only one type of data, such as that from retinal imaging. However, different kinds of data, including that of genetic, demographic and clinical information, may contain different and independent information, which can provide different perspectives on the visually observable, genetic or environmental mechanisms for the disease. The combination of these potentially complementary pieces of information can enhance the understanding of the disease, providing a holistic appreciation of the multiple risks factors as well as improving the detection outcomes. In this study, we propose a computer-aided diagnosis framework for Pathological Myopia diagnosis through Biomedical and Image Informatics(PM-BMII). Through the use of multiple kernel learning (MKL) methods, PM-BMII intelligently fuses heterogeneous biomedical information to improve the accuracy of disease diagnosis. Data from 2,258 subjects of a population-based study, in which demographic and clinical information, retinal fundus imaging data and genotyping data were collected, are used to evaluate the proposed framework. The experimental results show that PM-BMII achieves an AUC of 0.888, outperforming the detection results from the use of demographic and clinical information 0.607 (increase , ), genotyping data 0.774 (increase , ) or imaging data 0.852 (increase , ) alone. The accuracy of the results obtained demonstrates the feasibility of using heterogeneous data for improved disease diagnosis through our proposed PM-BMII framework.     

Five-Year Prognosis Model of Esophageal Cancer Based on Genetic Algorithm Improved Deep Neural Network

ObjectivesEsophageal cancer is a high occult malignant tumor. Even with good diagnosis and treatment, the 5-year survival rate of esophageal cancer patients is still less than 30%. Considering the influence of clinical characteristics on postoperative esophageal cancer patients, the construction of a neural network model will help improve the poor prognosis of patients in the five years.Material and methodsIn this study, genetic algorithm optimized deep neural network is exploited to the clinical dataset of esophageal cancer. The independent prognostic factors are screened by Relief algorithm and Cox proportional risk regression. FTD prognostic staging system is established to assess the risk level of esophageal cancer patients.ResultsFTD staging system and independent prognostic factors are integrated into the genetic algorithm optimized deep neural network. The Area Under Curve (AUC) of FTD staging system is 0.802. FTD staging system is verified by the Kaplan-Meier survival curve, and the median survival time is divided for different risk grades. The FTD staging system is superior to the TNM stages in the prognosis effect. The AUC of deep neural network optimized by genetic algorithm is 0.91.ConclusionThe deep neural network optimized by genetic algorithm has good performance in predicting the 5-year survival status of esophageal cancer patients. The FTD staging system has a significant prognostic effect. The FTD staging system and genetic algorithm optimized deep neural network can be successfully availed in clinical diagnosis and treatment.     

血清学指标检验在脂肪肝患者临床诊断中的应用价值研究

目的:探讨血清学指标检验在脂肪肝患者临床诊断中的应用价值。方法:收集2013年3月-2014年3月于我院接受治疗的脂肪肝患者42例,作为观察组;选取同一时间我院体检科健康查体者42例,作为对照组。比较两组血清学指标检验结果,并分析其在脂肪肝临床诊断中的价值。结果:观察组患者丙氨酸氨基转移酶(ALT)、天冬氨酸转氨酶(AST)水平明显高于对照组健康查体者,两组比较差异均具有统计学意义(t=11.42、13.17,P0.05);观察组患者血清甘油三酯(TG)、总胆固醇(TC)水平明显高于对照组健康查体者,两组比较差异均具有统计学意义(t=7.35、8.02,P0.05)。结论:血清ALT、AST、TG、TC指标在脂肪肝患者临床诊断中存在重要的临床应用价值,可作为临床监测脂肪肝的重要方法,值得推广。     

Mitochondriale Erkrankungen

As outlined in other articles of this issue mitochondrial medicine is a complex area in clinical genetics. Due to the wide variability of clinical presentation in both pediatric and adult patients there are frequent constellations of symptoms that may suggest an underlying mitochondrial disorder. This is a challenge in genetic counseling because basically all patterns of inheritance have to be taken into account??including maternal transmission??but a straightforward genetic testing to confirm or exclude the suggested diagnosis is hampered by the immense genetic heterogeneity of the mitochondrial disease spectrum. This article focuses on a diagnostic strategy and specific aspects of genetic counseling in mitochondrial disorders.     

Smith-Magenis syndrome: clinical evaluation in seven Brazilian patients

Smith-Magenis syndrome (SMS) is a complex congenital anomaly characterized by craniofacial anomalies, neurological and behavioral disorders. SMS is caused by a deletion in region 17p11.2, which includes the RAI1 gene (90% of cases), or by point mutation in the RAI1 gene (10% of cases). Laboratory diagnosis is through cytogenetic analysis by GTG banding and molecular cytogenetic analysis by FISH. We carried out an active search for patients in Associations of Parents and Friends of Exceptional Children (APAE) of S?o Paulo and genetic centers in Brazil. Forty-eight patients were screened for mental retardation, craniofacial abnormalities and stereotyped behavior with a diagnosis of SMS. In seven of them, chromosome banding at high resolution demonstrated chromosome 17p11.2 deletions, confirmed by FISH. We also made a meta-analysis of 165 cases reported between 1982 and 2010 to compare with the clinical data of our sample. We demonstrated differences between the frequencies of clinical signs among the cases reported and seven Brazilian cases of this study, such as dental anomalies, strabismus, ear infections, deep hoarse voice, hearing loss, and cardiac defects. Although the gold standard for diagnosis of SMS is FISH, we found that the GTG banding technique developed to evaluate chromosome 17 can be used for the SMS diagnosis in areas where the FISH technique is not available.     

Rapid analysis of amplified double-stranded DNA by capillary electrophoresis with laser-induced fluorescence detection

DNA amplification technology has been applied to clinical diagnosis of infectious disease, genetic disorder, and cancer. After in vitro amplification of a particular DNA region, the methods of analysis for these amplified samples play a pivotal role in clinical diagnosis. Conventional gel electrophoresis has been routinely used in the lab for checking DNA. The whole procedure is time consuming and requires more than 1 ng of DNA for detection. To achieve greater performance in DNA diagnosis, we demonstrated capillary electrophoresis with laser induced fluorescence detection for analysis of amplified DNA. The analysis of DNA could be completed within 3 min and the data is directly entered into the computer. Considering the automatic and rapid process, we believe that this method could be routinely utilized for the clinical diagnosis of amplified DNA products.