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Biomedical subjects

Lisa M Hines

Publications and source records attributed to Lisa M Hines.

8 recordsLinked to original sources

A sex-specific role of type VII adenylyl cyclase in depression.

Major depression represents a complex mental disorder. The identification of biological markers that define subtypes of major depressive disorder would greatly facilitate appropriate medical treatments, as well as provide insight into etiology. Reduced activity of the cAMP signaling system has been implicated in the etiology of major depression. Previous work has shown low adenylyl cyclase activity in platelets and postmortem brain tissue of depressed individuals. Here, we investigate the role of the brain type VII isoform of adenylyl cyclase (AC7) in the manifestation of depressive symptoms in genetically modified animals, using a combination of in vivo behavioral experiments, gene expression profiling, and bioinformatics. We also completed studies with humans on the association of polymorphisms in the AC7 gene with major depressive illness (unipolar depression) based on Diagnostic and Statistical Manual of Mental Disorders IV criteria. Collectively, our results demonstrate a sex-specific influence of the AC7 gene on a heritable form of depressive illness.

Adenylyl Cyclases↗

Functional proteomics approach to investigate the biological activities of cDNAs implicated in breast cancer.

Functional proteomics approaches that comprehensively evaluate the biological activities of human cDNAs may provide novel insights into disease pathogenesis. To systematically investigate the functional activity of cDNAs that have been implicated in breast carcinogenesis, we generated a collection of cDNAs relevant to breast cancer, the Breast Cancer 1000 (BC1000), and conducted screens to identify proteins that induce phenotypic changes that resemble events which occur during tumor initiation and progression. Genes were selected for this set using bioinformatics and data mining tools that identify genes associated with breast cancer. Greater than 1000 cDNAs were assembled and sequence verified with high-throughput recombination-based cloning. To our knowledge, the BC1000 represents the first publicly available sequence-validated human disease gene collection. The functional activity of a subset of the BC1000 collection was evaluated in cell-based assays that monitor changes in cell proliferation, migration, and morphogenesis in MCF-10A mammary epithelial cells expressing a variant of ErbB2 that can be inducibly activated through dimerization. Using this approach, we identified many cDNAs, encoding diverse classes of cellular proteins, that displayed activity in one or more of the assays, thus providing insights into a large set of cellular proteins capable of inducing functional alterations associated with breast cancer development.

Breast Neoplasms↗

Platelet adenylyl cyclase activity: a biological marker for major depression and recent drug use.

BACKGROUND: Adenylyl cyclase (AC) is an enzyme that can regulate the physiologic effects of numerous drugs and hormones through the production of cyclic adenosine-3',5'-monophosphate (cAMP). Some studies suggest that certain measures of AC activity are lower among depressed subjects. We examined the relationship between various measures of AC activity and major depression, taking into account potential confounders, such as drug use and gender. METHODS: We assessed the relationship between platelet levels of AC activity and lifetime diagnosis of major depression among 1481 participants (226 subjects with a history of major depression and 1255 control subjects) in an international, cross-sectional study initiated by the World Health Organization and the International Society on Biomedical Research on Alcoholism. RESULTS: After accounting for recent drug use, subjects with a history of major depression had markedly lower mean levels for all measures of platelet AC activity compared with control subjects. The adjusted odds ratios for major depression comparing the bottom to the top quartile of AC activity were 2.69 for basal (95% confidence interval [CI] 1.30-5.56), 3.72 for cesium fluoride-stimulated (95% CI 1.54-8.98), 6.20 for forskolin-stimulated (95% CI 2.04-18.80), and 2.20 for Gpp(NH)p-stimulated (95% CI 1.03-4.70). CONCLUSIONS: Subjects with major depression have lower platelet AC activity levels, and this relationship is dramatically attenuated by various types of drug use.

Adenylyl Cyclases↗

Alcohol consumption and high-density lipoprotein levels: the effect of ADH1C genotype, gender and menopausal status.

We previously demonstrated that a functional polymorphism in alcohol dehydrogenase type 1C (ADH1C, also known as ADH3) modifies the association between moderate alcohol consumption and high-density lipoprotein (HDL) levels and risk of myocardial infarction among older men. In this study, we investigated the effect of the ADH1C gamma(1) and gamma(2) alleles on the relationship between alcohol consumption and HDL levels among four populations with varied exposure to endogenous and exogenous estrogens: premenopausal women, middle-to-older aged men, postmenopausal women currently using postmenopausal hormones (PMH) and postmenopausal women not currently using PMH. We observed an interaction between moderate alcohol consumption and ADH1C genotype on HDL level that was similar among middle-to-older aged men and postmenopausal women not using PMH. Among the moderate drinkers (approximately a half a drink per day for women and a full drink per day for men), there was a significant 5.3mg/dL (P=0.02) higher level of multivariate adjusted HDL level comparing the gamma(2) homozygotes (slow oxidizers) to the gamma(1) homozygotes (fast oxidizers). This interaction was not present among premenopausal women or postmenopausal women using PMH, who had higher overall HDL levels irrespective of alcohol consumption. Our results confirm that ADH1C genotype modifies the association between alcohol consumption and HDL levels among men and postmenopausal women not using PMH who drink moderately. However, this was not observed among individuals with estrogen-elevated HDL levels, specifically premenopausal women and postmenopausal women taking PMH, suggesting that these populations may benefit less from alcohol consumption with respect to coronary heart disease.

Adult↗

Alcoholism: the dissection for endophenotypes.

Alcohol dependence (alcoholism) is a complex disorder attributed to the interaction of genetic and environmental factors that form a collage of "disease" predisposition, which is not identical for every alcohol-dependent individual. There is considerable evidence to demonstrate that genetic predisposition accounts for roughly half the risk in the development of alcohol dependence. Both family and population studies have identified a number of genomic regions with suggestive links to alcoholism, yet there have been relatively few definitive findings with regard to genetic determinants of alcoholism. This ambiguity can be attributed to a multitude of complications of studying complex mental disorders, such as clinical heterogeneity, polygenic determinants, reduced penetrance, and epistatic effects. Complex mental disorders are clinical manifestations described by combinations of various signs and symptoms. One approach to overcoming the ambiguity in studying the association between genetic risk factors and disease is to dissect the complex, heterogeneous disorder by using intermediate phenotypes--or endophenotypes--to generate more homogeneous diagnostic groupings than an all-encompassing definition, such as the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV)-derived term "alcohol dependence" or the commonly used term "alcoholism." The advantage of using endophenotypes is that the number of influential factors that contribute to these characteristics should be fewer and more easily identified than the number of factors affecting the heterogeneous entity of alcohol dependence (alcoholism). A variety of alcohol-related characteristics have been investigated in epidemiological, clinical, and basic research as potential endophenotypes of alcohol dependence. These include phenotypes related to alcohol metabolism, physiological and endocrine measures, neural imaging, electrophysiology, personality, drinking behavior, and responses to alcohol and alcohol-derived cues. This review summarizes the current literature, focused on human data, of promising endophenotypes for dissecting alcoholism.

Alcoholism↗

Cooperation of the ErbB2 receptor and transforming growth factor beta in induction of migration and invasion in mammary epithelial cells.

MCF10A mammary epithelial cells form growth-arrested structures when cultured in three-dimensional basement membrane gels. Activation of the receptor tyrosine kinase ErbB2 induces formation of proliferative structures that share properties with noninvasive early stage lesions. We conducted a genetic screen to identify cDNAs that can cooperate with ErbB2 to induce migration in these cells, with the hypothesis that they would represent candidate "second hits" in the development of invasive breast carcinomas. We found that expression of transforming growth factor (TGF)beta1 and TGFbeta3 in cells expressing activated ErbB2 induces migration in transwell chambers and invasive behavior in both basement membrane cultures and invasion chambers. The ability of ErbB2 to cooperate with TGFbeta correlated with sustained, elevated activation of extracellular signal-regulated kinase (Erk)-mitogen-activated protein kinase. Pharmacological reduction of Erk activity inhibited the cooperative effect of TGFbeta and ErbB2 on migration and expression of activated Erk kinase was sufficient to cooperate with TGFbeta to induce migration and invasion, suggesting that sustained Erk activation is critical for ErbB2/TGFbeta cooperation. In addition, we show that costimulation of ErbB2 and TGFbeta induces autocrine secretion of factors that are sufficient to induce migration, but not invasion, by means of both epidermal growth factor receptor-dependent and -independent processes. These results support the role of TGFbeta as a pro-invasion factor in the progression of breast cancers with activated ErbB2 and suggest that activation of the Erk and epidermal growth factor receptor pathways are key in mediating these events.

Breast Neoplasms↗

Genetic modification of the effect of alcohol consumption on CHD.

The deleterious health effects of high alcohol consumption are numerous and well recognized; however, the effect of moderate alcohol consumption on overall health continues to be a debated issue. Among the more prevalent diseases in Westernized countries, epidemiological research suggests that alcohol in moderation substantially reduces the risk of CHD, while it modestly increases the risk for certain cancers, such as breast and colon cancer. Despite the overwhelming data supporting the beneficial effect of moderate alcohol consumption on the cardiovascular system, some researchers are not convinced. Sceptics argue that the reduction in risk is attributed to a favourable lifestyle factor associated with moderate alcohol consumption, or that it may be attributed to constituents of alcoholic beverages other than ethanol, such as the antioxidants in the grapes. In order to promote overall health for the general public, it is necessary to elucidate these issues. One approach is to study population differences in alcohol metabolic efficiency, which is likely to contribute to an individual's susceptibility to alcohol-associated diseases. Among the population there is substantial variability in the efficiency to metabolize alcohol. Genetic variation among the alcohol-metabolizing genes is known to produce isoenzymes with distinct kinetic properties. Studying genetic differences that potentially influence disease susceptibility among populations may provide insight into the mechanism(s) for the relationship between risk factor and disease, such as alcohol and CHD.

Alcohol Dehydrogenase↗

Analysis of genomic and proteomic data using advanced literature mining.

High-throughput technologies, such as proteomic screening and DNA micro-arrays, produce vast amounts of data requiring comprehensive analytical methods to decipher the biologically relevant results. One approach would be to manually search the biomedical literature; however, this would be an arduous task. We developed an automated literature-mining tool, termed MedGene, which comprehensively summarizes and estimates the relative strengths of all human gene-disease relationships in Medline. Using MedGene, we analyzed a novel micro-array expression dataset comparing breast cancer and normal breast tissue in the context of existing knowledge. We found no correlation between the strength of the literature association and the magnitude of the difference in expression level when considering changes as high as 5-fold; however, a significant correlation was observed (r = 0.41; p = 0.05) among genes showing an expression difference of 10-fold or more. Interestingly, this only held true for estrogen receptor (ER) positive tumors, not ER negative. MedGene identified a set of relatively understudied, yet highly expressed genes in ER negative tumors worthy of further examination.

Abstracting and Indexing↗