CoChat
Sign Up
Cited by 43

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Implications of Sortilin in Lipid Metabolism and Lipid Disorder Diseases

Gao, Anbo, Cayabyab, Francisco S., Chen, Xi, Yang, Jing, Wang, Li, Peng, Tianhong, Lv, Yuncheng·2017·DNA and Cell Biology
DOI 10.1089/dna.2017.3853
Open this paper in CoChat — free account

Abstract

The present review provides a summary of recent evidence of sortilin expression, function, and regulation and its implications in lipid metabolism and development of lipid disorder diseases. As a member of the vacuolar protein sorting 10 protein (Vps10p) receptor family, sortilin mediates intracellular trafficking of diverse endogenous or exogenous protein substrates between the trans-Golgi network (TGN) and plasma membrane compartments. Recent studies reveal that sortilin regulates the expression of lipid genes, plasma lipid level, and the development of lipid disorder diseases. Sortilin promotes atherogenesis by regulating hepatic very low density lipoprotein (VLDL) secretion and plasma lipid level and subsequently macrophage lipid accumulation. Sortilin deficiency is caused by accelerated proteasome degradation under insulin resistance conditions and is thereby implicated in the hyperlipidemia of type 2 diabetes mellitus (T2DM). Sortilin facilitates hepatic cholesterol accumulation by inhibiting hepatic cholesterol catabolism, which promotes the development of nonalcoholic fatty liver disease (NAFLD). Sortilin plays an important role in lipid metabolism and represents a promising therapeutic target for lipid disorder diseases.

Overview

Integrity signals

Registry

Crossref · 10.1089/dna.2017.3853

Cites

7 of 7 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: 91

  1. 10.1172/JCI61248 · DOI
  2. 10.1016/j.jjcc.2014.02.012 · DOI
  3. 10.1161/CIRCRESAHA.115.306361 · DOI · Paper page
  4. 10.1002/jmv.24367 · DOI
  5. 10.1194/jlr.M046524 · DOI
  6. 10.1186/s12860-016-0085-9 · DOI
  7. 10.1371/journal.pone.0084969 · DOI
  8. 10.1016/j.ajhg.2010.11.002 · DOI · Paper page
  9. 10.1210/jc.2015-3940 · DOI
  10. 10.1152/ajpgi.00472.2005 · DOI
  11. Chow M.D., 2017, Mol Aspects Med, 17, 1
  12. 10.1097/MOL.0000000000000175 · DOI
  13. 10.1055/s-0033-1358519 · DOI
  14. 10.1161/CIRCGENETICS.114.000534 · DOI
  15. 10.1111/j.1600-0854.2009.01017.x · DOI
  16. 10.1091/mbc.12.2.475 · DOI
  17. 10.1091/mbc.02-07-0105 · DOI
  18. 10.1074/jbc.M112295200 · DOI
  19. 10.1002/bies.201100003 · DOI
  20. 10.1001/jamacardio.2016.0096 · DOI
  21. 10.2165/11590330-000000000-00000 · DOI
  22. Fisher E., 2014, J Biomed Res, 28, 178, 10.7555/JBR.28.20140019 · DOI
  23. 10.1155/2011/783976 · DOI
  24. Gibbons G.F., 2002, J R Soc Med, 95, 23
  25. 10.1161/ATVBAHA.116.308932 · DOI
  26. 10.1016/j.atherosclerosis.2016.06.011 · DOI
  27. 10.1172/JCI80851 · DOI
  28. 10.4238/2015.August.7.18 · DOI
  29. 10.1016/j.ihj.2015.05.020 · DOI
  30. Haas M.E., 2013, TEM, 24, 391
  31. 10.1007/s004390100504 · DOI
  32. 10.1007/s00018-009-0043-1 · DOI
  33. 10.1016/j.ijcard.2016.11.064 · DOI
  34. 10.1016/j.arteri.2015.11.001 · DOI
  35. 10.1099/mic.0.28627-0 · DOI
  36. 10.3724/SP.J.1005.2013.00830 · DOI
  37. 10.1038/jid.2010.187 · DOI
  38. 10.1007/s11883-015-0496-7 · DOI
  39. 10.1016/j.cmet.2010.08.006 · DOI · Paper page
  40. Kleber M.E., 2010, The Ludwigshafen Risk and Cardiovascular Health Study. Atherosclerosis, 209, 492
  41. 10.2169/internalmedicine.56.7796 · DOI
  42. 10.1093/cvr/cvw094 · DOI
  43. 10.1210/jc.2009-0141 · DOI · Paper page
  44. 10.3109/10409238.2011.562481 · DOI
  45. 10.1210/en.2003-0288 · DOI
  46. 10.1074/jbc.M115.641225 · DOI
  47. 10.1074/jbc.M114.548933 · DOI
  48. 10.1074/jbc.M116.762005 · DOI
  49. 10.1016/j.atherosclerosis.2009.06.034 · DOI · Paper page
  50. 10.1172/JCI76002 · DOI
  51. 10.18632/oncotarget.5098 · DOI
  52. 10.1093/emboj/18.3.595 · DOI
  53. 10.1016/j.atherosclerosis.2016.03.041 · DOI
  54. 10.1038/ncomms6068 · DOI
  55. 10.1002/pro.2512 · DOI
  56. 10.1016/j.jhep.2014.08.030 · DOI
  57. 10.1161/01.HYP.22.1.56 · DOI
  58. 10.1016/j.jsbmb.2017.02.013 · DOI
  59. 10.1155/2015/678924 · DOI
  60. 10.1186/s12933-016-0412-7 · DOI
  61. 10.1080/00325481.2016.1208895 · DOI
  62. 10.1007/s00109-008-0387-2 · DOI
  63. 10.1016/j.atherosclerosis.2015.11.027 · DOI
  64. 10.1016/j.yjmcc.2015.04.004 · DOI
  65. 10.1097/MOL.0000000000000244 · DOI
  66. 10.1016/j.bbrc.2015.11.068 · DOI
  67. 10.1016/j.bbrc.2016.07.096 · DOI · Paper page
  68. 10.1007/s11883-012-0248-x · DOI
  69. 10.1097/MOL.0000000000000110 · DOI
  70. 10.1161/CIRCRESAHA.115.306256 · DOI · Paper page
  71. 10.1074/jbc.M106737200 · DOI
  72. 10.2174/1566524053766086 · DOI · Paper page
  73. 10.1038/nature09270 · DOI · Paper page
  74. 10.1097/CRD.0000000000000008 · DOI
  75. 10.3892/mmr.2015.3472 · DOI
  76. 10.1038/srep29332 · DOI
  77. 10.1111/j.1469-1809.2011.00646.x · DOI
  78. 10.1016/j.tiv.2016.08.011 · DOI
  79. 10.1074/jbc.M408873200 · DOI
  80. 10.1038/ng.76 · DOI · Paper page
  81. 10.1097/MOL.0b013e328350fad2 · DOI
  82. 10.1097/MOL.0b013e3283416f2b · DOI
  83. 10.1038/nrn2516 · DOI
  84. 10.1080/19420889.2015.1130192 · DOI
  85. 10.1002/hep.26714 · DOI
  86. 10.1097/WNR.0b013e3283619f43 · DOI
  87. 10.7150/ijbs.14027 · DOI
  88. 10.1194/jlr.M800277-JLR200 · DOI
  89. 10.1016/j.ijcard.2013.11.093 · DOI
  90. 10.1016/j.cca.2016.06.013 · DOI
  91. Zhou Y.J., 2015, Int J Clin Exp Pathol, 8, 9543

Cited by

Sorted by citations

Metadata

Authors
Gao, A., Cayabyab, F. S., Chen, X., Yang, J., Wang, L., Peng, T., & Lv, Y.
Affiliations
  • Clinical Anatomy & Reproductive Medicine Application Institute, University of South China, Hengyang, China.
  • Department of Surgery, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
  • Department of Metabolism & Endocrinology, The First Affiliated Hospital, University of South China, Hengyang, China.
Venue
DNA and Cell Biology
Publisher
SAGE Publications
Published
2017-12
Volume
36
Issue
12
Pages
1050-1061
ISSN
  • 1044-5498
  • 1557-7430
DOI
10.1089/dna.2017.3853
Cited by
43
References
7
Language
en
Licence
www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)

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