Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.

Search

Type in a keyword to search

On page 1 showing 1 ~ 3 papers out of 3 papers

The relationship of sterol regulatory element-binding protein cleavage-activation protein and apolipoprotein E gene polymorphisms with metabolic changes during weight reduction.

  • Tuomo Nieminen‎ et al.
  • Metabolism: clinical and experimental‎
  • 2007‎

Sterol regulatory element-binding protein cleavage-activating protein (SCAP) and apolipoprotein E (apo E) regulate cellular and plasma lipid metabolism. Therefore, variations in the corresponding genes might influence weight reduction and obesity-associated metabolic changes. We investigated the relationships of SCAP (Ile796Val) and apo E polymorphisms on metabolic changes during weight reduction by using a 12-week very low-energy diet. Body composition, serum lipids, plasma glucose, and insulin were assessed in 78 healthy premenopausal women (initial body mass index, 34 +/- 4 kg/m(2); age, 40 +/- 4 years) before and after the intervention. The SCAP genotype groups did not differ in the responses of any parameters measured during weight reduction. Apo E did not differentiate the weight loss, but the changes in total and low-density lipoprotein cholesterol for the genotype groups apo E epsilon2/3, epsilon3/3, as well as epsilon3/4 and epsilon4/4 combined were -0.94 +/- 0.56 and -0.59 +/- 0.32, -0.71 +/- 0.49 and -0.49 +/- 0.45, and -0.55 +/- 0.47 and -0.37 +/- 0.39 mmol/L, respectively (P < .05 for both). In conclusion, neither the SCAP Ile796Val nor the apo E polymorphism was associated with weight loss in obese premenopausal women. However, the apo E-but not SCAP genotype-seems to be one of the modifying factors for serum cholesterol concentrations during very low-energy diet in obese premenopausal women.


The APOE -219G/T and +113G/C polymorphisms affect insulin resistance among Turks.

  • Evrim Komurcu-Bayrak‎ et al.
  • Metabolism: clinical and experimental‎
  • 2011‎

The -219G/T (rs405509) and +113G/C (rs440446) polymorphisms within the regulatory region of the apolipoprotein E (APOE) gene have been related to the transcriptional activity of the gene. We examined the effect of the stated polymorphisms and their construct haplotypes with the APOE ɛ2/ɛ3/ɛ4 polymorphism on lipid levels and insulin resistance in the Turkish Adult Risk Factor Study. Randomly selected 1774 adults (mean age, 55.0 ± 11.7 years; 51.2% women) participating in the population-based Turkish Adult Risk Factor Study were cross-sectionally analyzed for the -219G/T, +113G/C, and ɛ2/ɛ3/ɛ4 polymorphisms as well as their haplotypes. Insulin resistance was defined as the 70th percentile in the sample (>2.51) of the homeostatic model assessment (HOMA). The frequencies of the -219T and +113C alleles were 0.477 and 0.423, respectively; and those of haplotype 1 (GGɛ3) and haplotype 2 (TCɛ3) were 44.1% and 41.9%, respectively. The -219G/T and +113G/C genotypes (both P < .04) and diplotypes of haplotype 2 (TCɛ3) (P < .014) were inversely related to serum fasting insulin and the HOMA index, even after controlling for 8 relevant covariates, but not to serum lipids. Within the APOE3 group, haplotype 2 (TC-/TC+) heterozygotes had an odds ratio of 0.66 (95% confidence interval, 0.42-0.99) for HOMA of insulin resistance after adjusting for 8 covariates. APOE promoter polymorphisms and their diplotypes are independently related with serum fasting insulin levels and HOMA index among Turks.


Low serum adiponectin is associated with high circulating oxidized low-density lipoprotein in patients with type 2 diabetes mellitus and coronary artery disease.

  • Riikka Lautamäki‎ et al.
  • Metabolism: clinical and experimental‎
  • 2007‎

Decrease in adiponectin level, a common feature in patients with type 2 diabetes mellitus, is considered to predict cardiovascular events. Elevated oxidized low-density lipoprotein (oxLDL), formed within the arterial wall, is commonly seen as part of the atherogenic profile. We investigated the association of adiponectin and oxLDL in 58 patients with type 2 diabetes mellitus and ischemic coronary artery disease. In addition to adiponectin, the serum lipid profile (including oxLDL), plasminogen activator inhibitor 1, high-sensitivity C-reactive protein, and whole-body glucose uptake determined by euglycemic-hyperinsulinemic clamp were evaluated. The average adiponectin level was 7.1 +/- 3.5 microg/mL and was higher in female than in male patients (P = .011). Adiponectin level correlated with whole-body glucose uptake (P = .037) and high-density lipoprotein (HDL) cholesterol concentration (P = .007) and was inversely associated with oxLDL (P = .005), triglycerides (P = .010), and plasminogen activator inhibitor 1 (P = .004). No association was found between adiponectin and high-sensitivity C-reactive protein or LDL cholesterol levels. In multiple linear regression analysis, adiponectin contributed to oxLDL concentration, whereas total cholesterol, LDL and HDL cholesterol, and triglycerides did not. In conclusion, our results suggest that low adiponectin concentration indicates increased oxidative state in the arterial wall, which further supports previous data on the role of adipose tissue in atherogenesis.


  1. SciCrunch.org Resources

    Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Facets

    Here are the facets that you can filter your papers by.

  9. Options

    From here we'll present any options for the literature, such as exporting your current results.

  10. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

Publications Per Year

X

Year:

Count: