Literature DB >> 12657746

A correlation between a proteomic evaluation and conventional measurements in the assessment of renal proximal tubular toxicity.

Lasantha R Bandara1, Mike D Kelly, Edward A Lock, Sandy Kennedy.   

Abstract

4-Aminophenol (4-AP), D-serine, and cisplatin are established rodent nephrotoxins that damage proximal tubules within the renal cortex. Using high throughput 2D gel proteomics to profile protein changes in the plasma of compound-treated animals, we identified several markers of kidney toxicity. Male F344 and Alpk rats were treated with increasing doses of 4-AP, D-serine, or cisplatin, and plasma samples were collected over time. Control groups received saline or nontoxic isomers, L-serine, and transplatin. Plasma proteins that displayed dose- and temporal-dependent regulation in each study were further characterized by mass spectrometry to elucidate the protein identity. Several isoforms of the rat-specific T-kininogen protein were identified in each study. T-kininogen was elevated in the plasma of 4-AP-, D-serine-, and cisplatin-treated animals at early time points, returning to baseline levels 3 weeks after treatment. The protein was not elevated in the plasma of control animals or those treated with nontoxic compounds. We propose that T-kininogen may be required to counteract apoptosis in proximal tubular cells in order to minimize tissue damage following a toxic insult. In addition, T-kininogen may be required to stimulate localized inflammation to aid tissue repair. We also identified several isoforms of the inter-alpha inhibitor H4P heavy chain in the 4-AP and D-serine studies. In each case, the protein expression levels in the blood samples paralleled the extent of kidney toxicity, highlighting the correlation between protein alterations and clinical chemistry endpoints. A further set of proteins correlating with kidney damage was found to be a component of the complement cascade and other blood clotting factors, indicating a contribution of the immune system to the observed toxicity. These observations underscore the value of proteomics in identifying new biomarkers and in the elucidation of mechanisms of toxicity.

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Year:  2003        PMID: 12657746     DOI: 10.1093/toxsci/kfg068

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  4 in total

1.  Urinary proteomics analysis based on mass spectrometry and identification of therapeutic targets of Shenkangling interventions in rats with adriamycin nephropathy using iTRAQ.

Authors:  Si Ai; Jian Zheng; Cai-Xia Qiu; Xiao-Lu Lu; Xu-Wei Li
Journal:  Am J Transl Res       Date:  2018-07-15       Impact factor: 4.060

2.  Glycoproteins identified from heart failure and treatment models.

Authors:  Shuang Yang; Lijun Chen; Shisheng Sun; Punit Shah; Weiming Yang; Bai Zhang; Zhen Zhang; Daniel W Chan; David A Kass; Jennifer E van Eyk; Hui Zhang
Journal:  Proteomics       Date:  2014-10-09       Impact factor: 3.984

3.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

Review 4.  The role of toxicoproteomics in assessing organ specific toxicity.

Authors:  B Alex Merrick; Frank A Witzmann
Journal:  EXS       Date:  2009
  4 in total

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