Indonesian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Diabetologia 1999-Jun

The PPARgamma2 amino acid polymorphism Pro 12 Ala is prevalent in offspring of Type II diabetic patients and is associated to increased insulin sensitivity in a subgroup of obese subjects.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
M Koch
K Rett
E Maerker
A Volk
K Haist
M Deninger
W Renn
H U Häring

Kata kunci

Abstrak

OBJECTIVE

Recently a mutation in the coding sequence of the adipocyte specific isoform peroxisome proliferator-activated receptor gamma2 (PPARgamma2) was described, leading to the substitution of Proline to Alanine at codon 12. Mutations in PPARgamma2 could have a role in people who are at increased risk for the development of obesity and Type II (non-insulin-dependent) diabetes mellitus.

METHODS

Non-diabetic first-degree relatives (n = 108) of subjects with Type II diabetes were characterized by oral glucose tolerance tests and euglycaemic hyperinsulinaemic glucose clamp to determine insulin sensitivity.

RESULTS

We found 75 (69%) probands without the PPARgamma ProAla12 substitution, 28 heterozygotes (26%) and 5 (4%) homozygotes. When the whole group was analysed for an association between the mutation and insulin sensitivity, no statistical significance could be shown. Only in the group with severe obesity more than 30 kg/m2, an association (p = 0.016) of the polymorphism with an increase in insulin sensitivity was found.

CONCLUSIONS

These observations suggest that the mutation in the PPARgamma2 molecule may have a role in subgroups prone to the development of obesity and Type II diabetes.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge