Literature DB >> 9126813

Liver regeneration: methods for monitoring and their applications.

N Assy1, G Y Minuk.   

Abstract

Liver regeneration is an essential component of the reparative process following liver injury and surgical resection. It can be assessed by different tissue-based tests such as liver weights, mitotic counts, DNA contents and synthesis rates, immunohistochemical staining of nuclear antigens, gene expressions and certain protein levels or various serum-based tests that largely consist of specific enzyme determinations or documentation of certain proliferation markers. Although the simplest tissue-based test of liver regeneration is measurement of liver weights, these determinations are influenced by the extent of deposition of various materials not directly related to regeneration, such as lipids, glycogen and blood volumes. Because mitosis constitutes a very short segment of the cell cycle, mitotic counts are infrequently observed by light microscopy. Thymidine and BrdU incorporation into DNA are the reference tools for studying DNA synthesis, but their use requires pre-injection with radioactive isotopes or nucleotides which render them impractical for human studies. Flow cytometry is an accurate and objective method of monitoring hepatic regenerative activity but requires sophisticated equipment that is not generally available in many laboratories. Immunohistochemical staining for nuclear antigens (Ki-67, proliferating cell nuclear antigen [PCNA], DNA polymerase alpha and nucleolar organizer region [NOR] proteins) are acceptable and commonly used methods of monitoring regenerative activity but are subject to inter- and intra-observer variability. Gene expression rates such as Histone-3 mRNA abundance are hampered by the relatively low rates of gene transcription and the need for recombinant DNA technology. Protein and enzyme levels in liver tissues, such as putrescine, ornithine decarboxylase and thymidine kinase, are not precise and are confounded by the nutritional status of the host. While PCNA protein levels measured by immunoblot hold promise as a simple, accurate and reproducible marker of liver regeneration, additional studies are required to determine if this is a valid marker of regenerative activity in various models of hepatic injury and in humans. Of the serum-based determinations: thymidine kinase, ornithine decarboxylase, fibronectin, alpha fetoprotein, and early pregnancy factor offer practical and non-invasive tools to monitor liver regeneration, but the sensitivity and specificity of these tests have yet to be determined. In conclusion, many tissue and serum-based methods have been employed in clinical and experimental studies to assess liver regeneration; however, a gold standard has yet to be identified. Because of the disadvantages inherent in each method, and until a new, more accurate marker is identified, clinicians and scientists should incorporate a minimum of two independent markers in studies of liver regeneration.

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Year:  1997        PMID: 9126813     DOI: 10.1016/s0168-8278(97)80266-8

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  21 in total

1.  Liver regeneration is not altered in patients with nonalcoholic steatohepatitis (NASH) when compared to chronic hepatitis C infection with similar grade of inflammation.

Authors:  Osamah Hussein; Sergio Szvalb; L M Van den Akker-Berman; Nimer Assy
Journal:  Dig Dis Sci       Date:  2002-09       Impact factor: 3.199

2.  Function and volume recovery after partial hepatectomy: influence of preoperative liver function, residual liver volume, and obesity.

Authors:  Johan Friso Lock; Maciej Malinowski; Daniel Seehofer; Steffi Hoppe; Rhea Isabel Röhl; Stefan Markus Niehues; Peter Neuhaus; Martin Stockmann
Journal:  Langenbecks Arch Surg       Date:  2012-06-24       Impact factor: 3.445

3.  O-aminoazotoluene suppresses hepatocyte proliferation in inbred mice susceptible to hepatocarcinogenesis.

Authors:  A V Eremeev; O A Timofeeva; A V Goloshchapov; S I Il'nitskaya; T I Merkulova; V I Kaledin; N A Setkov
Journal:  Dokl Biol Sci       Date:  2009 Sep-Oct

4.  Hepatic proliferation after partial liver irradiation in Sprague-Dawley rats.

Authors:  Zhi-Gang Ren; Jian-Dong Zhao; Ke Gu; Jian Wang; Guo-Liang Jiang
Journal:  Mol Biol Rep       Date:  2011-07-16       Impact factor: 2.316

5.  Functional Liver Recovery After Bariatric Surgery--a Prospective Cohort Study with the LiMAx Test.

Authors:  Patrick H Alizai; Janica Wendl; Anjali A Roeth; Christian D Klink; Tom Luedde; Inga Steinhoff; Ulf P Neumann; Maximilian Schmeding; Florian Ulmer
Journal:  Obes Surg       Date:  2015-11       Impact factor: 4.129

6.  Liver development in a rat model of fetal alcohol syndrome.

Authors:  A F A Meyers; Y Gong; M Zhang; O G Casiro; S Battistuzzi; N Pettigrew; G Y Minuk
Journal:  Dig Dis Sci       Date:  2002-04       Impact factor: 3.199

7.  The combined effect of erythropoietin and granulocyte macrophage colony stimulating factor on liver regeneration after major hepatectomy in rats.

Authors:  Ioannis Vassiliou; Evangelos Lolis; Constantinos Nastos; Aliki Tympa; Theodosios Theodosopoulos; Nikolaos Dafnios; George Fragulidis; Matrona Frangou; Agathi Kondi-Pafiti; Vassilios Smyrniotis
Journal:  World J Surg Oncol       Date:  2010-07-07       Impact factor: 2.754

8.  Hypothermia predicts hepatic failure after extensive hepatectomy in mice.

Authors:  Norifumi Ohashi; Tomohide Hori; Shinji Uemoto; Sura Jermanus; Feng Chen; Akimasa Nakao; Justin H Nguyen
Journal:  World J Hepatol       Date:  2013-04-27

9.  Mitogenic properties of endogenous and pharmacological doses of macrophage inflammatory protein-2 after 70% hepatectomy in the mouse.

Authors:  Xiaodan Ren; Audra Carpenter; Cory Hogaboam; Lisa Colletti
Journal:  Am J Pathol       Date:  2003-08       Impact factor: 4.307

10.  Effect of granulocyte-macrophage colony-stimulating factor on hepatic regeneration after 70% hepatectomy in normal and cirrhotic rats.

Authors:  A Eroğlu; S Demirci; H Akbulut; N Sever; S Demirer; A E Unal
Journal:  HPB (Oxford)       Date:  2002       Impact factor: 3.647

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