A polymorphic region flanking the human insulin gene on the short arm of chromosome 11, the insulin-gene-linked DNA polymorphism, can be described as a locus with at least three classes of alleles: a common small “class 1” allele averaging 570 base pairs, a rare intermediate “class 2” allele of about 1320 base pairs, and a large “class 3” allele averaging 2470 base pairs in size.

We have determined the genotype at this locus of 393 unrelated diabetic and nondiabetic individuals. Differences were observed in the genotypie and allelic frequencies between groups of different races. Asians [17 nondiabetic, 2 with insulin-dependent diabetes mellitus (IDDM), and 8 with non-insulin-dependent diabetes mellitus (NIDDM)] exhibited the least variation in the size of this locus and 98% of the alleles in this group were class 1. A group of American blacks (32 nondiabetic, 5 with IDDM, and 40 with NIDDM) exhibited considerable variation in the size of this locus, and about 22% of the individuals examined had a genotype that included a rare class 2 allele. In neither of these two racial groups were the genotypie or allelic frequencies different between the nondiabetic and diabetic segments of these groups.

However, in a group of Caucasians (83 nondiabetic, 113 with IDDM, and 76 with NIDDM), there was a significantly higher frequency of class 1 alleles and genotypes containing two class 1 alleles in the diabetic patients compared with nondiabetic controls. A strikingly higher frequency of class 1 alleles (P < 0.0001) and genotypes containing two class 1 alleles (P < 0.0001) was observed in the IDDM group compared with nondiabetic Caucasians, whereas the difference between NIDDM and controls was only near the level of statistical significance (P = 0.025). Analysis of the combined data of our Caucasian population and those reported from studies of Caucasians from Denmark and St. Louis, Missouri, continued to show an increased frequency of class 1 alleles and genotypes containing two class 1 alleles in the IDDM group (P = 0.0001) compared with the nondiabetic group; however, there were no longer differences in genotypic or allelic frequencies between NIDDM and nondiabetic groups.

A polymorphic locus near the human insulin gene is associated with insulin-dependent diabetes mellitus.

Background There is increasing evidence of genetic factors leading to obesity, but the exact genes involved have not been defined. Peroxisome-proliferator–activated receptor γ2 (PPARγ2) is a transcription factor that has a key role in adipocyte differentiation, and therefore mutations of the gene for this factor might predispose people to obesity. Methods We studied 358 unrelated German subjects, including 121 obese subjects (defined as those with a body-mass index [the weight in kilograms divided by the square of the height in meters] of more than 29). We evaluated these subjects for mutations in the gene for PPARγ2 at or near a site of serine phosphorylation at position 114 that negatively regulates the transcriptional activity of the protein, using a polymerase-chain-reaction–based assay coupled with specific endonuclease digestion. The activity of the mutation identified was analyzed by retroviral transfection and overexpression in murine fibroblasts. Results Four of the 121 obese subjects had a misse...

Obesity associated with a mutation in a genetic regulator of adipocyte differentiation.

Clinical course of genetic diseases of the insulin receptor (type A and Rabson-Mendenhall syndromes): a 30-year prospective.

Alstrom syndrome is a rare autosomal recessive genetic disorder characterized by cone-rod dystrophy, hearing loss, childhood truncal obesity, insulin resistance and hyperinsulinemia, type 2 diabetes, hypertriglyceridemia, short stature in adulthood, cardiomyopathy, and progressive pulmonary, hepatic, and renal dysfunction. Symptoms first appear in infancy and progressive development of multi-organ pathology leads to a reduced life expectancy. Variability in age of onset and severity of clinical symptoms, even within families, is likely due to genetic background.

Alstrom syndrome is caused by mutations in ALMS1, a large gene comprised of 23 exons and coding for a protein of 4,169 amino acids. In general, ALMS1 gene defects include insertions, deletions, and nonsense mutations leading to protein truncations and found primarily in exons 8, 10 and 16. Multiple alternate splice forms exist. ALMS1 protein is found in centrosomes, basal bodies, and cytosol of all tissues affected by the disease. The identification of ALMS1 as a ciliary protein explains the range of observed phenotypes and their similarity to those of other ciliopathies such as Bardet-Biedl syndrome.

Studies involving murine and cellular models of Alstrom syndrome have provided insight into the pathogenic mechanisms underlying obesity and type 2 diabetes, and other clinical problems. Ultimately, research into the pathogenesis of Alstrom syndrome should lead to better management and treatments for individuals, and have potentially important ramifications for other rare ciliopathies, as well as more common causes of obesity and diabetes, and other conditions common in the general population.

Alström syndrome: genetics and clinical overview.

The mechanism of action of metformin was studied by comparing glucose turnover before and after a 75-g oral glucose load in 10 nonobese men with non-insulin-dependent diabetes mellitus (NIDDM) during metformin and placebo therapy by the combined application of the forearm and double-isotope techniques. During the study, 9 of the 10 patients were regularly receiving glibenclamide therapy. In 5 of the men, the first study was performed during metformin therapy, and the second study was done during placebo administration; in the other 5 subjects, the order was reversed. The interval between the studies was at least 3 mo. The metformin dosage was 1 g twice daily in 9 of the patients and 850 mg thrice daily in the 10th subject. In the basal state, metformin administration reduced plasma glucose levels from 172 +/- 14 to 103 +/- 9 mg/dl (P less than .005), hepatic glucose output (HGO) from 2.67 +/- 0.15 to 2.20 +/- 0.20 mg X kg-1 X min-1 (P less than .02), and forearm glucose uptake (FGU) from 0.106 +/- 0.18 to 0.039 +/- 0.016 mg X 100 ml-1 forearm X min-1 (P less than .005), whereas insulin (23 +/- 6 microU/ml) and lactate (1.56 +/- 0.18 mM) levels were unchanged. Although the oral glucose tolerance curve (OGTC) was significantly lowered by metformin, the incremental area under the curve and the insulin response were unchanged. The systemic appearance of ingested glucose was unaffected by metformin; 64 +/- 2% of the load was recovered peripherally in 3 h.(ABSTRACT TRUNCATED AT 250 WORDS)

Mechanism of Metformin Action in Non-Insulin-Dependent Diabetes

Novel laboratory techniques such as the determination of proinsulin, insulin, C-peptide and insulin receptors have allowed further subclassification of diabetes mellitus today as representing a symptom rather than a disease. Numerous pathogenetic mechanisms of diabetes have been identified, many of these being genetically determined and this may extend possibilities for genetic counselling. As a geneticist's view, the pathogenetic concept of diabetes presented here is mostly confined to genetic mechanisms, leaving aside other influences on the development of diabetes such as hormones, viruses, nutrition and drugs. Mendelian inherited diabetic disorders are related to different pathogenetic principles where possible, being speculative in some cases.

Pathogenetic mechanisms of hereditary diabetes mellitus.

The stimulation of glucose uptake and RNA synthesis by insulin was studied in cultured fibroblasts from patients with an inherited affinity defect of the insulin receptor. Additional cell cultures were set up of two patients with Alstrom syndrome, a genetic disease with insulin resistance but normal insulin receptor, and of eight healthy individuals. In receptor-defective patients we found a corresponding defect of the insulin-mediated stimulation of RNA synthesis but a normal stimulation of glucose uptake. We conclude that both postreceptor effects are controlled by different insulin-directed mechanisms.

Impaired insulin-induced RNA synthesis secondary to a genetically defective insulin receptor

We describe a new familial syndrome in three siblings; it is biochemically characterized by a combined defect of the action of the three related peptides insulin, insulin-like growth factor I (IGF I) and epidermal growth factor (EGF). Clinically, the disease has features of Werner syndrome with lipodystrophy, scleroderma-like alterations of the skin, alterations of the skeleton and contractures of joints. In addition, one of the patients has an insulin-resistant diabetes mellitus. Studies with cultured fibroblasts obtained from skin biopsies show a markedly reduced stimulation of RNA synthesis by the three growth factors and a decreased insulin stimulation of 2-deoxy-D-glucose uptake as compared with normal controls. Receptor binding of the three peptides occurred with normal capacity and affinity. We conclude that the signal transfer of different growth factors has a common denominator at the postreceptor level.

A new familial syndrome with impaired function of three related peptide growth factors.

Defects of insulin and IGF-1 action at receptor and postreceptor level in a patient with type A syndrome of insulin resistance.

Morfan: A new syndrome characterized by mental retardation, pre‐ and postnatal overgrowth, remarkable face and acanthosis nigricans in 5‐year‐old boy

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

M. Dreyer

Author Tools

Chat about Author