Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0028754 (obesity)
 124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Unlike simple rare Mendelian disorders, the genetic basis for common disorders is unclear. A general model of the genetics of common complex disorders is proposed which emphasizes the shared nature of common alleles in related common disorders, such as schizophrenia and bipolar disorder, Type II diabetes and obesity, and among autoimmune diseases. This model, the common variants/multiple disease hypothesis, emphasizes that many disease genes may not be disease specific. Common deleterious alleles, found at a relatively high frequency in the population may play a role in related clinical phenotypes in the context of different genetic backgrounds and under different environmental conditions.
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PMID:The common variants/multiple disease hypothesis of common complex genetic disorders. 1496 46

Obesity and diabetes continue to be national health epidemics. Greater than 50% of adults in the United States are overweight, and >17 million people have diabetes--one third of whom are not diagnosed. Diabetes ranks number 1 in direct health care costs of any disease category. Patients who suffer from schizophrenia may be at twice the risk of developing diabetes compared with the general population. Some new antipsychotic agents are among several types of medications that may potentially impair glucose metabolism. For example, studies have shown that people treated with clozapine and olanzapine have developed elevated fasting serum insulin levels, suggestive of insulin resistance. Insulin resistance may be a result of irregularities in the insulin action sequence and it may occur long before overt diabetes. The further study of the effects of medications on glucose metabolism and their mechanisms, therefore, is essential to developing better treatment regimens that minimize insulin resistance and avoid associated health risks such as obesity and diabetes.
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PMID:Obesity, diabetes, and the metabolic syndrome: new challenges in antipsychotic drug therapy. 1497 54

With the widespread use of atypical antipsychotics over the past several years, adverse metabolic effects have emerged as the most serious medical consequences of pharmacotherapy with some of these agents. Initially, weight gain and obesity were observed (especially with clozapine and olanzapine), but subsequently, type 2 diabetes and dyslipidemia became apparent as well. Further, many reports suggest that sudden and severe (occasionally fatal) diabetes ketoacidosis (DKA) can emerge during treatment with some atypical antipsychotics, even in the absence of adiposity. A marked increase of serum lipids (especially triglycerides) has also been reported, to varying degrees, with different atypicals. This article reviews the data regarding metabolic dysfunction in patients with psychosis (schizophrenia and bipolar disorder). Populations with psychosis have a 2-3-fold higher prevalence of diabetes even before treatment with any antipsychotics, suggesting a possible genetic linkage or comorbidity; this was confirmed with glucose regulation studies in schizophrenia and mania. The induction of type 2 diabetes with atypicals has further increased the prevalence of noninsulin-dependent diabetes from about 6% to 8% to 11% to 15% according to recent studies, and even higher rates of subclinical hyperglycemia. Serious weight gain (eg, 26-29 lbs after 1 year of clozapine or olanzapine treatment) is an important risk factor, but sudden DKA has now been reported in patients with minimal weight gain, suggesting alternative mechanisms, such as insulin resistance, as a direct effect of some atypicals. Psychiatrists can reduce the risk of metabolic disorders in schizophrenia and bipolar disorder by avoiding the use of certain atypicals as first-line treatment in patients with a personal or family history of diabetes, obesity, and hyperlipidemias. Regulatory agencies in some countries have already taken action in this regard.
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PMID:Factors in antipsychotic drug selection: tolerability considerations. 1497 55

BACKGROUND: Weight gain is a significant side effect associated with typical and atypical antipsychotic agents. It has the potential to add to the increased morbidity and mortality associated with schizophrenia and schizoaffective disorder. Because the newer antipsychotic medications have proved to be superior to traditional agents in controlling the positive and negative symptoms of schizophrenia, it is additionally critical to address the relationship of these newer agents to weight gain. METHOD: Prior to the availability of novel antipsychotic medication, we looked at a group of 17 residents, of whom 71% had significant weight gain on treatment with traditional antipsychotic medications between 1991 and 1994. This prompted our interest in weight gain, especially after the introduction of novel antipsychotic medications, and our decision to look closely at their diets and help them make changes that would minimize their weight gain. We monitored the effect of a comprehensive primary intervention strategy on controlling obesity in a retrospective study of 32 patients with DSM-IV schizophrenia or schizoaffective disorders. All patients were residents in an adult care facility for formerly homeless persons with serious mental illness. Intervention consisted of complete medical and psychiatric care; switch to a patient-optimal atypical drug; low-calorie, monitored diet; nutritional education; and supportive care. RESULTS: There was no significant change in mean body weight at 12 and 18 months after initiation of intervention. Weight gain was observed in only 30% of study patients after the intervention as opposed to 71% at the start of the study. In general, as the negative symptoms of schizophrenia improved, patients were found to become more receptive to education and to become proactive in their health care. The lack of weight gain was consistently seen with all 3 agents tested-clozapine, olanzapine, and risperidone. CONCLUSION: A patient's diet appears to be a better predictor of weight gain than the choice of novel antipsychotic medication. Clinicians might prescribe nutritional and lifestyle changes alongside medication with weight gain potential.
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PMID:Interventions for Weight Gain in Adults Treated With Novel Antipsychotics. 1501 64

The antipsychotic drugs (APDs) are fundamental tools in current psychiatric practice. A new generation of agents, the atypical APDs, represents an important progress in the treatment of psychotic disorders. Unfortunately, some of them induce excessive body weight gain (BWG), obesity, hyperglycemia and dyslipidemia in the following order: clozapine approximately equal to olanzapine > quetiapine > risperidone > ziprasidone = aripiprazole. Appetite stimulation is probably the main mechanism of BWG and this is strongly correlated with the APD affinity for H1 (histaminergic) and alpha1 (adrenergic) receptors. A composed ratio of the APD affinity for diverse neurotransmitters involved in food intake (FI) regulation correlates with BWG as well. Endocrine/metabolic mechanisms, such as the activation of the hypothalamus-pituitary-adrenal axis, changes in insulin sensitivity (by conventional and atypical agents), hyperprolactinemia and gonadal dysfunction (by conventional APDs and risperidone) may also be involved. Importantly, patients with schizophrenia may have a genetically-based predisposition to appetite dysregulation, insulin resistance and endocrine imbalance involving gonadal steroids. Excessive BWG must be prevented or attenuated by proper drug selection, combining or switching agents, nutritional assistance and physical exercise. Amantadine. metformin and reboxetine proved to significantly lessen APD-induced BWG. Notwithstanding this, novel strategies are necessary to treat this side effect in a clinical population particularly prone to poor compliance and under a high risk of negative drug interaction.
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PMID:Drug induced weight gain, an impediment to successful pharmacotherapy: focus on antipsychotics. 1505 13

Evidence that the quality of fetal growth and development has strong and, in widely varying populations, reproducible effects on susceptibility to many common adult human diseases has only been acquired relatively recently. The importance of this largely environmentally determined process in relation to genetic factors remains a topic of great debate. Diseases that have been implicated include cardiovascular disease, hypertension, osteoporosis, schizophrenia, depression, breast cancer, and the polycystic ovary syndrome. This short review focuses on fetal programming of appetite and obesity, coronary artery disease and hypertension, type-2 diabetes, and cancer. The enormous importance of establishing the precise role of environmentally determined poor fetal growth in causing susceptibility to adult disease, usually in combination with adult obesity, (which may itself be a consequence of the same process) is emphasized. Once this is clear, there will be a major opportunity for disease prevention.
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PMID:Fetal growth and adult diseases. 1505 5

Dietary fat has a dual role in human physiology: a) it functions as a source of energy and structural components for cells; b) it functions as a regulator of gene expression that impacts lipid, carbohydrate, and protein metabolism, as well as cell growth and differentiation. Fatty acid effects on gene expression are cell-specific and influenced by fatty acid structure and metabolism. Fatty acids interact with the genome through several mechanisms. They regulate the activity or nuclear abundance of several transcription factors, including PPAR, LXR, HNF-4, NFkappaB, and SREBP. Fatty acids or their metabolites bind directly to specific transcription factors to regulate gene transcription. Alternatively, fatty acids indirectly act on gene expression through their effects on a) specific enzyme-mediated pathways, such as cyclooxygenase, lipoxygenase, protein kinase C, or sphingomyelinase signal transduction pathways; or b) pathways that involve changes in membrane lipid/lipid raft composition that affect G-protein receptor or tyrosine kinase-linked receptor signaling. Further definition of these fatty acid-regulated pathways will provide insight into the role dietary fat plays in human health and the onset and progression of several chronic diseases, like coronary artery disease and atherosclerosis, dyslipidemia and inflammation, obesity and diabetes, cancer, major depressive disorders, and schizophrenia.
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PMID:Fatty acid regulation of gene transcription. 1507 23

We report that perospirone may have had positive effects on the obesity of three patients with schizophrenia and on the fasting blood sugar (FBS) and HbA1C of two of them who had type 2 diabetes mellitus.
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PMID:Use of perospirone for obesity and diabetes mellitus in patients with schizophrenia: three case reports. 1510 70

Topiramate is an anti-convulsant often used off-label for the treatment of several conditions, including obesity and schizophrenia. This case report describes palmar erythema as a side effect in a patient using topiramate for paranoid schizophrenia.
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PMID:Palmar erythema due to topiramate. 1517 70

Single nucleotide polymorphisms (SNPs) are the most common genetic variation in mammalian populations. Their significance is illustrated by their potential contribution to common disease but also by their potential for use in genetic association and mapping experiments. We have examined the genetic variation between commonly used inbred rat strains by using an efficient SNP discovery and typing assay based on enzyme-based (CEL I) heteroduplex cleavage. Screening of a panel of 96 different rat (sub-)strains for 100 genomic loci in 55 genes, whose human homologs are implicated in clinically relevant diseases like neurological disorder, cancer, schizophrenia, and obesity, resulted in the identification of 103 novel polymorphisms. As all strains are simultaneously genotyped in this setup, this allowed us to make an estimate of the genetic variation between and within commonly used rat inbred strains. Interestingly, we observed substantial genetic variation between colonies of the same inbred strain, maintained at different locations. Furthermore, we identified 17 non-synonymous SNPs that may have an effect on protein function and contribute to phenotypic differences between different laboratory strains.
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PMID:Genetic variation in coding regions between and within commonly used inbred rat strains. 1523 44


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