Cited by 249

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Regulation of Lipid and Lipoprotein Metabolism by PPAR Activators

Gervois, Philippe, Torra, Inés Pineda, Fruchart, Jean-Charles, Staels, Bart·2000·cclm

Abstract

The peroxisome proliferator-activated receptors (PPARs) are ligand-activated transcription factors belonging to the nuclear hormone receptor superfamily. PPARα, the first identified PPAR family member, is principally expressed in tissues exhibiting high rates of β-oxidation such as liver, kidney, heart and muscle. PPARγ, on the other hand, is expressed at high levels in adipose tissue. PPARs are activated by dietary fatty acids and eicosanoids, as well as by pharmacological drugs, such as fibrates for PPARα and glitazones for PPARγ. PPARα mediates the hypolipidemic action of fibrates in the treatment of hypertriglyceridemia and hypoalphalipoproteinemia. PPARα is considered a major regulator of intra- and extracellular lipid metabolism. Upon fibrate activation, PPARα down-regulates hepatic apolipoprotein C-III and increases lipoprotein lipase gene expression, key players in triglyceride metabolism. In addition, PPARα activation increases plasma HDL cholesterol via the induction of hepatic apolipoprotein A-I and apolipoprotein A-II expression in humans. Glitazones exert a hypotriglyceridemic action via PPARγ-mediated induction of lipoprotein lipase expression in adipose tissue. PPARs play also a role in intracellular lipid metabolism by up-regulating the expression of enzymes involved in conversion of fatty acids in acyl-coenzyme A esters, fatty acid entry into mitochondria and peroxisomal and mitochondrial fatty acid catabolism. These observations have provided the molecular basis leading to a better understanding of the mechanism of action of fibrates and glitazones on lipid and lipoprotein metabolism and identify PPARs as attractive targets for the rational design of more potent lipid-lowering drugs.

Overview

Integrity signals

Registry

Crossref · 10.1515/cclm.2000.002

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 102

  1. 10.1016/S0140-6736(94)90566-5 · DOI
  2. 10.1016/S0735-1097(98)00560-9 · DOI
  3. Haim M, 1999, Circulation, 100, 475, 10.1161/01.CIR.100.5.475 · DOI
  4. Staels B, 1998, Circulation, 98, 2088, 10.1161/01.CIR.98.19.2088 · DOI · Paper page
  5. 10.1016/S0140-6736(96)91343-4 · DOI
  6. Frick MH, 1997, Circulation, 96, 2137, 10.1161/01.CIR.96.7.2137 · DOI
  7. Reddy J, 1979, Br J Cancer, 40, 476, 10.1038/bjc.1979.203 · DOI
  8. 10.1038/347645a0 · DOI · Paper page
  9. Vanden Heuvel JP, 1999, J Nutr, 129, 575S, 10.1093/jn/129.2.575S · DOI
  10. Lee SS, 1995, Mol Cell Biol, 15, 3012, 10.1128/MCB.15.6.3012 · DOI
  11. Schoonjans K, 1996, Biochim Biophys Acta, 1302, 93, 10.1016/0005-2760(96)00066-5 · DOI
  12. Cullingford TE, 1998, J Neurochem, 70, 1366, 10.1046/j.1471-4159.1998.70041366.x · DOI
  13. 10.1210/en.137.1.354 · DOI · Paper page
  14. 10.2337/diabetes.46.8.1319 · DOI
  15. 10.1016/0092-8674(92)90031-7 · DOI
  16. 10.1210/en.139.6.2748 · DOI
  17. 10.2337/diabetes.47.4.507 · DOI
  18. 10.1016/S1097-2765(00)80047-7 · DOI
  19. 10.1038/2036 · DOI
  20. 10.1038/2042 · DOI
  21. 10.1038/2030 · DOI
  22. 10.1016/S1367-5931(97)80015-4 · DOI
  23. 10.1016/S0092-8674(00)81574-3 · DOI
  24. 10.1074/jbc.274.10.6718 · DOI
  25. 10.1210/me.13.3.400 · DOI
  26. 10.1038/31701 · DOI
  27. 10.1038/34178 · DOI · Paper page
  28. 10.1038/35154 · DOI · Paper page
  29. Sakai M, 1995, Cancer Res, 53, 5370
  30. Delerive P, 1999, Circ Res, 85, 394, 10.1161/01.RES.85.5.394 · DOI
  31. Lemberger T, 1994, J Biol Chem, 269, 24527, 10.1016/S0021-9258(17)31420-5 · DOI
  32. 10.1111/j.1432-1033.1994.0967b.x · DOI
  33. 10.1074/jbc.274.25.17541 · DOI
  34. 10.1073/pnas.96.5.2391 · DOI
  35. 10.1172/JCI6223 · DOI · Paper page
  36. 10.1074/jbc.271.3.1764 · DOI
  37. 10.1210/me.13.9.1535 · DOI
  38. Palmer CN, 1998, Mol Pharmacol, 53, 14, 10.1124/mol.53.1.14 · DOI
  39. 10.1073/pnas.92.17.7921 · DOI
  40. 10.1074/jbc.272.30.18779 · DOI
  41. 10.1074/jbc.272.32.20230 · DOI
  42. Wu Z, 1996, Mol Cell Biol, 16, 4128, 10.1128/MCB.16.8.4128 · DOI
  43. 10.1074/jbc.274.15.10505 · DOI
  44. 10.1038/24634 · DOI
  45. 10.1210/en.137.10.4499 · DOI
  46. 10.1074/jbc.272.43.27295 · DOI
  47. 10.1126/science.274.5295.2100 · DOI
  48. 10.1210/en.140.1.392 · DOI
  49. 10.1074/jbc.274.27.19228 · DOI · Paper page
  50. 10.1074/jbc.274.22.15775 · DOI
  51. 10.1074/jbc.273.10.5678 · DOI
  52. 10.1074/jbc.272.45.28210 · DOI · Paper page
  53. 10.1074/jbc.273.27.16710 · DOI
  54. 10.1074/jbc.273.15.8560 · DOI · Paper page
  55. 10.1074/jbc.273.37.23786 · DOI
  56. 10.1074/jbc.273.49.32901 · DOI
  57. 10.1172/JCI3949 · DOI · Paper page
  58. 10.1073/pnas.96.13.7473 · DOI · Paper page
  59. 10.1210/en.139.12.4920 · DOI
  60. 10.2337/diabetes.48.6.1217 · DOI
  61. 10.1006/bbrc.1999.0555 · DOI
  62. 10.1101/gad.8.10.1224 · DOI
  63. Tontonoz P, 1995, Mol Cell Biol, 15, 351, 10.1128/MCB.15.1.351 · DOI
  64. 10.1074/jbc.270.33.19269 · DOI
  65. 10.1111/j.1432-1033.1993.tb18181.x · DOI
  66. Schoonjans K, 1996, EMBO J, 15, 5336, 10.1002/j.1460-2075.1996.tb00918.x · DOI · Paper page
  67. 10.1007/BF00544015 · DOI
  68. 10.1016/0021-9150(89)90075-0 · DOI
  69. 10.1172/JCI107904 · DOI
  70. Caslake MJ, 1993, Arterioscler Thromb, 13, 702, 10.1161/01.ATV.13.5.702 · DOI
  71. 10.1172/JCI118118 · DOI
  72. Vu-Dac N, 1994, J Biol Chem, 269, 31012, 10.1016/S0021-9258(18)47383-8 · DOI
  73. 10.1172/JCI118687 · DOI
  74. 10.2337/diabetes.39.10.1218 · DOI
  75. 10.1021/jm00092a012 · DOI
  76. 10.2337/diabetes.43.2.204 · DOI
  77. 10.2337/diabetes.44.9.1087 · DOI
  78. 10.1021/jm970444e · DOI
  79. 10.1021/jm9805541 · DOI
  80. Lefebvre AM, 1997, Arterioscler Thromb Vasc Biol, 17, 1756, 10.1161/01.ATV.17.9.1756 · DOI
  81. Hertz R, 1995, J Biol Chem, 270, 13470, 10.1074/jbc.270.22.13470 · DOI
  82. 10.1074/jbc.272.43.27307 · DOI
  83. Ladias JA, 1992, J Biol Chem, 267, 15849, 10.1016/S0021-9258(19)49613-0 · DOI
  84. 10.1074/jbc.273.40.25713 · DOI
  85. Duez H, 1998, Circulation, 98, 2363, 10.1161/01.CIR.98.22.2363 · DOI
  86. 10.1074/jbc.273.49.32833 · DOI
  87. 10.1074/jbc.274.5.2672 · DOI
  88. 10.2165/00003495-199040040-00006 · DOI
  89. 10.1016/0021-9150(85)90095-4 · DOI
  90. 10.1016/0026-0495(92)90208-R · DOI
  91. 10.1111/j.1432-1033.1995.tb20797.x · DOI
  92. 10.1074/jbc.273.45.29577 · DOI
  93. Hennuyer N, 1999, Circulation, 99, 2445, 10.1161/01.CIR.99.18.2445 · DOI
  94. Staels B, 1992, Arterioscler Thromb, 12, 286, 10.1161/01.ATV.12.3.286 · DOI
  95. Staels B, 1992, Biochim Biophys Acta, 1123, 227, 10.1016/0005-2760(92)90115-C · DOI
  96. Staels B, 1992, J Lipid Res, 33, 727, 10.1016/S0022-2275(20)41436-1 · DOI
  97. 10.1126/science.271.5248.518 · DOI · Paper page
  98. Calvo D, 1997, Arterioscler Thromb Vasc Biol, 17, 2341, 10.1161/01.ATV.17.11.2341 · DOI
  99. 10.1074/jbc.272.34.20982 · DOI
  100. 10.1073/pnas.96.16.9322 · DOI
  101. 10.1074/jbc.273.40.25573 · DOI
  102. 10.1016/S0021-9150(99)80435-3 · DOI

Cited by

Sorted by citations

Metadata

Authors
Gervois, P., Torra, I. P., Fruchart, J.-C., & Staels, B.
Venue
cclm
Published
2000-01-08
Volume
38
Issue
1
Pages
3-11
ISSN
1434-6621
Cited by
249
References
8
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review