Literature DB >> 16794196

Molecular profiling improves diagnoses of rejection and infection in transplanted organs.

Andrey Morgun1, Natalia Shulzhenko, Ainhoa Perez-Diez, Rosiane V Z Diniz, Gerdine F Sanson, Dirceu R Almeida, Polly Matzinger, Maria Gerbase-DeLima.   

Abstract

The monitoring of transplanted hearts is currently based on histological evaluation of endomyocardial biopsies, a method that is fairly insensitive and that does not always accurately discriminate between rejection and infection in the heart. Accurate diagnosis of rejection and infection is absolutely crucial, however, as the respective treatments are completely different. Using microarrays, we analyzed gene expression in 76 cardiac biopsies from 40 heart recipients undergoing rejection, no rejection, or Trypanosoma cruzi infection. We found a set of genes whose expression patterns were typical of acute rejection, and another set of genes that discriminated between rejection and T cruzi infection. These sets revealed acute rejection episodes up to 2 weeks earlier, and trypanosome infection up to 2 months earlier than did histological evaluation. When applied to raw data from other institutions, the 2 sets of predictive genes were also able to accurately pinpoint acute rejection of lung and kidney transplants, as well as bacterial infections in kidneys. In addition to their usefulness as diagnostic tools, the data suggest that there are similarities in the biology of the processes involved in rejection of different grafts and also in the tissue responses to pathogens as diverse as bacteria and protozoa.

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Year:  2006        PMID: 16794196     DOI: 10.1161/01.res.0000228714.15691.8a

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  18 in total

1.  Key driver genes as potential therapeutic targets in renal allograft rejection.

Authors:  Zhengzi Yi; Karen L Keung; Li Li; Min Hu; Bo Lu; Leigh Nicholson; Elvira Jimenez-Vera; Madhav C Menon; Chengguo Wei; Stephen Alexander; Barbara Murphy; Philip J O'Connell; Weijia Zhang
Journal:  JCI Insight       Date:  2020-08-06

Review 2.  Transplant genetics and genomics.

Authors:  Joshua Y C Yang; Minnie M Sarwal
Journal:  Nat Rev Genet       Date:  2017-03-13       Impact factor: 53.242

3.  Inflammatory macrophage-associated 3-gene signature predicts subclinical allograft injury and graft survival.

Authors:  Tej D Azad; Michele Donato; Line Heylen; Andrew B Liu; Shai S Shen-Orr; Timothy E Sweeney; Jonathan Scott Maltzman; Maarten Naesens; Purvesh Khatri
Journal:  JCI Insight       Date:  2018-01-25

Review 4.  Recent advances in biomarker discovery in solid organ transplant by proteomics.

Authors:  Tara K Sigdel; Minnie M Sarwal
Journal:  Expert Rev Proteomics       Date:  2011-12       Impact factor: 3.940

5.  Identification and classification of acute cardiac rejection by intragraft transcriptional profiling.

Authors:  Cécile T J Holweg; Luciano Potena; Helen Luikart; Tianwei Yu; Gerald J Berry; John P Cooke; Hannah A Valantine; Edward S Mocarski
Journal:  Circulation       Date:  2011-05-09       Impact factor: 29.690

6.  Disruption of K(2P)6.1 produces vascular dysfunction and hypertension in mice.

Authors:  Eric E Lloyd; Randy F Crossland; Sharon C Phillips; Sean P Marrelli; Anilkumar K Reddy; George E Taffet; Craig J Hartley; Robert M Bryan
Journal:  Hypertension       Date:  2011-08-29       Impact factor: 10.190

7.  Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions.

Authors:  Rong Chen; Tara K Sigdel; Li Li; Neeraja Kambham; Joel T Dudley; Szu-Chuan Hsieh; R Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A Morgan; Hannah A Valantine; Kiran K Khush; Minnie M Sarwal; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

8.  Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long-Term Outcomes.

Authors:  B D Modena; S M Kurian; L W Gaber; J Waalen; A I Su; T Gelbart; T S Mondala; S R Head; S Papp; R Heilman; J J Friedewald; S M Flechner; C L Marsh; R S Sung; H Shidban; L Chan; M M Abecassis; D R Salomon
Journal:  Am J Transplant       Date:  2016-03-15       Impact factor: 8.086

9.  Transcriptomic biomarkers for individual risk assessment in new-onset heart failure.

Authors:  Bettina Heidecker; Edward K Kasper; Ilan S Wittstein; Hunter C Champion; Elayne Breton; Stuart D Russell; Michelle M Kittleson; Kenneth L Baughman; Joshua M Hare
Journal:  Circulation       Date:  2008-06-30       Impact factor: 29.690

Review 10.  In praise of arrays.

Authors:  Lihua Ying; Minnie Sarwal
Journal:  Pediatr Nephrol       Date:  2008-06-21       Impact factor: 3.714

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