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Biomedical subjects

Matthew J Huentelman

Publications and source records attributed to Matthew J Huentelman.

17 recordsLinked to original sources

Harsh Parenting Predicts Novel HPA Receptor Gene Methylation and NR3C1 Methylation Predicts Cortisol Daily Slope in Middle Childhood.

Adverse experiences in childhood are associated with altered hypothalamic-pituitary-adrenal (HPA) axis function and negative health outcomes throughout life. It is now commonly accepted that abuse and neglect can alter epigenetic regulation of HPA genes. Accumulated evidence suggests harsh parenting practices such as spanking are also strong predictors of negative health outcomes. We predicted harsh parenting at 2.5&#xa0;years old would predict HPA gene DNA methylation similarly to abuse and neglect, and cortisol output at 8.5&#xa0;years old. Saliva samples were collected three times a day across 3 days to estimate cortisol diurnal slopes. Methylation was quantified using the Illumina Infinium MethylationEPIC array BeadChip (850&#xa0;K) with DNA collected from buccal cells. We used principal components analysis to compute a summary statistic for CpG sites across candidate genes. The first and second components were used as outcome variables in mixed linear regression analyses with harsh parenting as a predictor variable. We found harsh parenting significantly predicted methylation of several HPA axis genes, including novel gene associations with AVPRB1, CRHR1, CRHR2, and MC2R (FDR corrected p&#x2009;<&#x2009;0.05). Further, we found NR3C1 methylation predicted a steeper diurnal cortisol slope. Our results extend the current literature by demonstrating harsh parenting may influence DNA methylation similarly to more extreme early life experiences such as abuse and neglect. Further, we show NR3C1 methylation is associated with diurnal HPA function. Elucidating the molecular consequences of harsh parenting on health can inform best parenting practices and provide potential treatment targets for common complex disorders.

Child↗

Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease.

The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1) and two replication stages (stages 2 and 3). Both joint analysis and meta-analysis approaches were used. We obtained genome-wide significant results at MS4A4A (rs4938933; stages 1 and 2, meta-analysis P (P(M)) = 1.7 &#xd7; 10(-9), joint analysis P (P(J)) = 1.7 &#xd7; 10(-9); stages 1, 2 and 3, P(M) = 8.2 &#xd7; 10(-12)), CD2AP (rs9349407; stages 1, 2 and 3, P(M) = 8.6 &#xd7; 10(-9)), EPHA1 (rs11767557; stages 1, 2 and 3, P(M) = 6.0 &#xd7; 10(-10)) and CD33 (rs3865444; stages 1, 2 and 3, P(M) = 1.6 &#xd7; 10(-9)). We also replicated previous associations at CR1 (rs6701713; P(M) = 4.6 &#xd7; 10(-10), P(J) = 5.2 &#xd7; 10(-11)), CLU (rs1532278; P(M) = 8.3 &#xd7; 10(-8), P(J) = 1.9 &#xd7; 10(-8)), BIN1 (rs7561528; P(M) = 4.0 &#xd7; 10(-14), P(J) = 5.2 &#xd7; 10(-14)) and PICALM (rs561655; P(M) = 7.0 &#xd7; 10(-11), P(J) = 1.0 &#xd7; 10(-10)), but not at EXOC3L2, to late-onset Alzheimer's disease susceptibility.

Adaptor Proteins, Signal Transducing↗

Identification of the genetic basis for complex disorders by use of pooling-based genomewide single-nucleotide-polymorphism association studies.

We report the development and validation of experimental methods, study designs, and analysis software for pooling-based genomewide association (GWA) studies that use high-throughput single-nucleotide-polymorphism (SNP) genotyping microarrays. We first describe a theoretical framework for establishing the effectiveness of pooling genomic DNA as a low-cost alternative to individually genotyping thousands of samples on high-density SNP microarrays. Next, we describe software called "GenePool," which directly analyzes SNP microarray probe intensity data and ranks SNPs by increased likelihood of being genetically associated with a trait or disorder. Finally, we apply these methods to experimental case-control data and demonstrate successful identification of published genetic susceptibility loci for a rare monogenic disease (sudden infant death with dysgenesis of the testes syndrome), a rare complex disease (progressive supranuclear palsy), and a common complex disease (Alzheimer disease) across multiple SNP genotyping platforms. On the basis of these theoretical calculations and their experimental validation, our results suggest that pooling-based GWA studies are a logical first step for determining whether major genetic associations exist in diseases with high heritability.

Alzheimer Disease↗

SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays.

MOTIVATION: The technology to genotype single nucleotide polymorphisms (SNPs) at extremely high densities provides for hypothesis-free genome-wide scans for common polymorphisms associated with complex disease. However, we find that some errors introduced by commonly employed genotyping algorithms may lead to inflation of false associations between markers and phenotype. RESULTS: We have developed a novel SNP genotype calling program, SNiPer-High Density (SNiPer-HD), for highly accurate genotype calling across hundreds of thousands of SNPs. The program employs an expectation-maximization (EM) algorithm with parameters based on a training sample set. The algorithm choice allows for highly accurate genotyping for most SNPs. Also, we introduce a quality control metric for each assayed SNP, such that poor-behaving SNPs can be filtered using a metric correlating to genotype class separation in the calling algorithm. SNiPer-HD is superior to the standard dynamic modeling algorithm and is complementary and non-redundant to other algorithms, such as BRLMM. Implementing multiple algorithms together may provide highly accurate genotyping calls, without inflation of false positives due to systematically miss-called SNPs. A reliable and accurate set of SNP genotypes for increasingly dense panels will eliminate some false association signals and false negative signals, allowing for rapid identification of disease susceptibility loci for complex traits. AVAILABILITY: SNiPer-HD is available at TGen's website: http://www.tgen.org/neurogenomics/data.

Algorithms↗

Common Kibra alleles are associated with human memory performance.

Human memory is a polygenic trait. We performed a genome-wide screen to identify memory-related gene variants. A genomic locus encoding the brain protein KIBRA was significantly associated with memory performance in three independent, cognitively normal cohorts from Switzerland and the United States. Gene expression studies showed that KIBRA was expressed in memory-related brain structures. Functional magnetic resonance imaging detected KIBRA allele-dependent differences in hippocampal activations during memory retrieval. Evidence from these experiments suggests a role for KIBRA in human memory.

Adolescent↗

Recessive symptomatic focal epilepsy and mutant contactin-associated protein-like 2.

Contactin-associated protein-like 2 (CASPR2) is encoded by CNTNAP2 and clusters voltage-gated potassium channels (K(v)1.1) at the nodes of Ranvier. We report a homozygous mutation of CNTNAP2 in Old Order Amish children with cortical dysplasia, focal epilepsy, relative macrocephaly, and diminished deep-tendon reflexes. Intractable focal seizures began in early childhood, after which language regression, hyperactivity, impulsive and aggressive behavior, and mental retardation developed in all children. Resective surgery did not prevent the recurrence of seizures. Temporal-lobe specimens showed evidence of abnormalities of neuronal migration and structure, widespread astrogliosis, and reduced expression of CASPR2.

Child↗

SNiPer: improved SNP genotype calling for Affymetrix 10K GeneChip microarray data.

BACKGROUND: High throughput microarray-based single nucleotide polymorphism (SNP) genotyping has revolutionized the way genome-wide linkage scans and association analyses are performed. One of the key features of the array-based GeneChip Mapping 10K Array from Affymetrix is the automated SNP calling algorithm. The Affymetrix algorithm was trained on a database of ethnically diverse DNA samples to create SNP call zones that are used as static models to make genotype calls for experimental data. We describe here the implementation of clustering algorithms on large training datasets resulting in improved SNP call rates on the 10K GeneChip. RESULTS: A database of 948 individuals genotyped on the GeneChip Mapping 10K 2.0 Array was used to identify 822 SNPs that were called consistently less than 75% of the time. These SNPs represent on average 8.25% of the total SNPs on each chromosome with chromosome 19, the most gene-rich chromosome, containing the highest proportion of poor performers (18.7%). To remedy this, we created SNiPer, a new application which uses two clustering algorithms to yield increased call rates and equivalent concordance to Affymetrix called genotypes. We include a training set for these algorithms based on individual genotypes for 705 samples. SNiPer has the capability to be retrained for lab-specific training sets. SNiPer is freely available for download at http://www.tgen.org/neurogenomics/data. CONCLUSION: The correct calling of poor performing SNPs may prove to be key in future linkage studies performed on the 10K GeneChip. It would prove particularly invaluable for those diseases that map to chromosome 19, known to contain a high proportion of poorly performing SNPs. Our results illustrate that SNiPer can be used to increase call rates on the 10K GeneChip without sacrificing accuracy, thereby increasing the amount of valid data generated.

Algorithms↗

Identification of disease causing loci using an array-based genotyping approach on pooled DNA.

BACKGROUND: Pooling genomic DNA samples within clinical classes of disease followed by genotyping on whole-genome SNP microarrays, allows for rapid and inexpensive genome-wide association studies. Key to the success of these studies is the accuracy of the allelic frequency calculations, the ability to identify false-positives arising from assay variability and the ability to better resolve association signals through analysis of neighbouring SNPs. RESULTS: We report the accuracy of allelic frequency measurements on pooled genomic DNA samples by comparing these measurements to the known allelic frequencies as determined by individual genotyping. We describe modifications to the calculation of k-correction factors from relative allele signal (RAS) values that remove biases and result in more accurate allelic frequency predictions. Our results show that the least accurate SNPs, those most likely to give false-positives in an association study, are identifiable by comparing their frequencies to both those from a known database of individual genotypes and those of the pooled replicates. In a disease with a previously identified genetic mutation, we demonstrate that one can identify the disease locus through the comparison of the predicted allelic frequencies in case and control pools. Furthermore, we demonstrate improved resolution of association signals using the mean of individual test-statistics for consecutive SNPs windowed across the genome. A database of k-correction factors for predicting allelic frequencies for each SNP, derived from several thousand individually genotyped samples, is provided. Lastly, a Perl script for calculating RAS values for the Affymetrix platform is provided. CONCLUSION: Our results illustrate that pooling of DNA samples is an effective initial strategy to identify a genetic locus. However, it is important to eliminate inaccurate SNPs prior to analysis by comparing them to a database of individually genotyped samples as well as by comparing them to replicates of the pool. Lastly, detection of association signals can be improved by incorporating data from neighbouring SNPs.

Alleles↗

Protection from angiotensin II-induced cardiac hypertrophy and fibrosis by systemic lentiviral delivery of ACE2 in rats.

Angiotensin converting enzyme 2 (ACE2), a newly discovered member of the renin-angiotensin system (RAS), is a potential therapeutic target for the control of cardiovascular disease owing to its key role in the formation of vasoprotective peptides from angiotensin II. The aim of the present study was to evaluate whether overexpression of ACE2 could protect the heart from angiotensin II-induced hypertrophy and fibrosis. Lentiviral vector encoding mouse ACE2 (lenti-mACE2) or GFP was injected intracardially in 5-day-old Sprague-Dawley rats. This resulted in expression of mACE2 in cardiac tissue for the duration of the study. Infusion of 200 ng kg-1 min-1 angiotensin II for 4 weeks resulted in an 80 mmHg increase in systolic blood pressure, a significant increase in the heart weight to body weight ratio (HW:BW), and marked myocardial fibrosis in control rats. Transduction with lenti-mACE2 resulted in significant attenuation of the increased HW:BW and myocardial fibrosis induced by angiotensin II infusion. These observations demonstrate that ACE2 overexpression results in protective effects on angiotensin II-induced cardiac hypertrophy and fibrosis.

Angiotensin II↗

ACE2: A novel therapeutic target for cardiovascular diseases.

Hypertension afflicts over 65 million Americans and poses an increased risk for cardiovascular morbidity such as stroke, myocardial infarction and end-stage renal disease resulting in significant mortality. Overactivity of the renin-angiotensin system (RAS) has been identified as an important determinant that is implicated in the etiology of these diseases and therefore represents a major target for therapy. In spite of the successes of drugs inhibiting various elements of the RAS, the incidence of hypertension and cardiovascular diseases remain steadily on the rise. This has lead many investigators to seek novel and innovative approaches, taking advantage of new pathways and technologies, for the control and possibly the cure of hypertension and related pathologies. The main objective of this review is to forward the concept that gene therapy and the genetic targeting of the RAS is the future avenue for the successful control and treatment of hypertension and cardiovascular diseases. We will present argument that genetic targeting of angiotensin-converting enzyme 2 (ACE2), a newly discovered member of the RAS, is ideally poised for this purpose. This will be accomplished by discussion of the following: (i) summary of our current understanding of the RAS with a focus on the systemic versus tissue counterparts as they relate to hypertension and other cardiovascular pathologies; (ii) the newly discovered ACE2 enzyme with its physiological and pathophysiological implications; (iii) summary of the current antihypertensive pharmacotherapy and its limitations; (iv) the discovery and design of ACE inhibitors; (v) the emerging concepts for ACE2 drug design; (vi) the current status of genetic targeting of the RAS; (vii) the potential of ACE2 as a therapeutic target for hypertension and cardiovascular disease treatment; and (viii) future perspectives for the treatment of cardiovascular diseases.

Angiotensin-Converting Enzyme 2↗

The Autism Genome Project: goals and strategies.

Autism is a complex neurodevelopmental disorder with a broad spectrum of symptoms and varying severity. Currently, no biological diagnosis exists. Although there has been a significant increase in autism genetics research recently, validated susceptibility genes for the most common, sporadic forms of autistic disorder, as well as familial autism, have yet to be identified. The identification of autism-susceptibility genes will not only assist in the identification and/or development of better medications that can help improve the health and neurodevelopment of children with autism, but will also allow for better perinatal diagnosis. The Autism Genome Project (AGP) is a large-scale, collaborative genetics research project initiated by the National Alliance for Autism Research and the National Institutes of Health, and is aimed at sifting through the human genome in search of autism-susceptibility genes. Phase I of the AGP will consist of genome-wide scans utilizing both SNP array and microsatellite technologies. Linkage analysis will subsequently be performed on approximately 1500 pedigrees as will downstream fine-mapping and sequencing of the critical linkage intervals. Ultimately, the vision will be to identify the exact nucleotide variants within genes which give rise to predisposition. The AGP intends to move the field of autism clinical management forward by answering questions about the causal mechanisms underlying the pathophysiology of autism. From this knowledge, therapeutic targets for drug treatments, and ultimately, a newborn screening diagnostic that would allow for early intervention, can begin to be developed.

Autistic Disorder↗

Structure-based discovery of a novel angiotensin-converting enzyme 2 inhibitor.

Angiotensin-converting enzyme 2 (ACE2) is considered an important therapeutic target for controlling cardiovascular diseases and severe acute respiratory syndrome (SARS) outbreaks. Recently solved high-resolution crystal structures of the apo-bound and inhibitor-bound forms of ACE2 have provided the basis for a novel molecular docking approach in an attempt to identify ACE2 inhibitors and compounds that block SARS coronavirus spike protein-mediated cell fusion. In this study, approximately 140 000 small molecules were screened by in silico molecular docking. In this structure-activity relation study, the molecules with the highest predicted binding scores were identified and assayed for ACE2 enzymatic inhibitory activity and for their ability to inhibit SARS coronavirus spike protein-mediated cell fusion. This approach identified N-(2-aminoethyl)-1 aziridine-ethanamine as a novel ACE2 inhibitor that also is effective in blocking the SARS coronavirus spike protein-mediated cell fusion. Thus, the molecular docking approach resulting in the inhibitory capacity of N-(2-aminoethyl)-1 aziridine-ethanamine provides an attractive small molecule lead compound on which the development of more effective therapeutic agents could be developed to modulate hypertension and for controlling SARS infections.

Angiotensin-Converting Enzyme 2↗

Cloning and characterization of a secreted form of angiotensin-converting enzyme 2.

Angiotensin-converting enzyme 2 (ACE2) is a newly discovered, membrane-bound aminopeptidase responsible for the production of vasodilatory peptides such as angiotensin 1-7 (Ang 1-7). Thus, ACE2 is important in counteracting the adverse, vasoconstrictor effects of angiotensin II (Ang II). The objective of the present study was to clone and characterize a constitutively secreted form of ACE2 as a prelude to an investigation into its therapeutic potential in hypertension. A truncated form of ACE2 was cloned into a lentiviral vector behind the human elongation factor 1 alpha promoter (lenti-shACE2). Transfection experiments demonstrated that secreted human ACE2 (shACE2) was secreted constitutively into the medium. The kinetic properties of shACE2 were comparable to the human recombinant enzyme (rACE2). Transduction of human coronary artery endothelial cells and rat cardiomyocytes with lenti-shACE2 showed a significant secretion of the enzyme into the medium compared to its native, membrane-bound homolog (human ACE2 [hACE2]). In addition, systemic administration of lenti-shACE2 into neonatal rats resulted in a eightfold increase in ACE2 activity in the serum above control values. These observations establish that lenti-shACE2 can be used to transduce cardiovascularly relevant cells for the secretion of functional ACE2 enzyme both in vitro and in vivo. Collectively, these results set the stage for the use of these vectors to investigate the consequences of ACE2 over-expression in the pathogenesis of hypertension.

Angiotensin-Converting Enzyme 2↗

Prevention of cardiac hypertrophy by angiotensin II type-2 receptor gene transfer.

The role of the angiotensin II type-2 receptor (AT2R) in cardiac hypertrophy remains elusive despite its demonstrated involvement in cardiovascular development. We have previously shown that a lentiviral vector gene delivery system is able to transduce cardiac tissue with high efficiency in vivo. Using such an approach, our objectives in the present study were 2-fold: (1) to overexpress the AT2R in cardiac tissue after completion of natural embryonic development of the heart and (2) to determine the effects of this overexpression on cardiac hypertrophy and basal blood pressure (BP). A lentiviral vector encoding the AT2R (lenti-AT2R) was administered (1.5x10(8) transducing units) into the left ventricular space of 5-day-old spontaneously hypertensive rats (SHRs). AT2R transgene expression increased in these animals and persisted for 30 weeks. In contrast, the expression of the angiotensin II type-1 receptor remained unchanged following lenti-AT2R treatment. At 21 weeks following gene transduction, the lenti-AT2R-treated SHRs exhibited decreased left ventricular wall thickness compared with control animals. In contrast, basal BP did not differ between the two SHR groups. Finally, heart weight to body weight ratios indicated a significant decrease in lenti-AT2R-treated SHRs compared with SHR controls. Our data indicate that AT2R overexpression attenuates cardiac hypertrophy in the SHR. This beneficial outcome was observed despite the existence of elevated BP.

Animals↗

Efficient large-scale production and concentration of HIV-1-based lentiviral vectors for use in vivo.

The aim of this study was to develop an efficient method for packaging and concentrating lentiviral vectors that consistently yields high-titer virus on a scale suitable for in vivo applications. Transient cotransfection of 293T packaging cells with DNA plasmids encoding lentiviral vector components was optimized using SuperFect, an activated dendrimer-based transfection reagent. The use of SuperFect allowed reproducible and efficient production of high-titer lentiviral vector at concentrations greater than 1 x 10(7) transducing units per ml (TU/ml) and required less than one-third of the total amount of DNA used in traditional calcium phosphate transfection methods. Viral titers were further increased using a novel concentration protocol that yielded an average final titer of 1.4 x 10(10) TU/ml. Lentiviruses produced using these methods exhibited efficient transduction of central nervous system and peripheral tissues in vivo. The method is reproducible and can be scaled up to facilitate the use of these vectors in animal studies.

Alkaline Phosphatase↗

Characterization of mitotic neurons derived from adult rat hypothalamus and brain stem.

Embryonic or neonatal rat neurons retain plasticity and are readily grown in tissue culture, but neurons of the adult brain were thought to be terminally differentiated and therefore difficult to culture. Recent studies, however, suggest that it may be possible to culture differentiated neurons from the hippocampus of adult rats. We modified these procedures to grow differentiated neurons from adult rat hypothalamus and brain stem. At day 7 in tissue culture and beyond, the predominant cell types in hypothalamic and brain stem cultures had a stellate morphology and could be subdivided into two distinct groups, one of which stained with antibodies to the immature neuron marker alpha-internexin, while the other stained with the astrocyte marker GFAP. The alpha-internexin positive cells were mitotic and grew to form a characteristic two-dimensional cellular network. These alpha-internexin positive cells coimmunostained for the neuronal markers MAP2, type III beta-tubulin, and tau, and also bound tetanus toxin, but were negative for the oligodendrocyte marker GalC and also for the neurofilament triplet proteins NF-L, NF-M, and NF-H, markers of more mature neurons. Patch-clamp analysis of these alpha-internexin positive cells revealed small Ca(2+) currents with a peak current of -0.5 +/- 0.1 pA/pF at a membrane potential of -20 mV (n = 5) and half-maximal activation at -30 mV (n = 5). Na(+) currents with a peak current density of -154.5 +/- 49.8 pA/pF at a membrane potential of -15 mV (n = 5) were also present. We also show that these cells can be frozen and regrown in tissue culture and that they can be efficiently infected by viral vectors. These cells therefore have the immunological and electrophysiological properties of immature mitotic neurons and should be useful in a variety of future studies of neuronal differentiation and function.

Age Factors↗