Gene Expression Profiling Specifies Chemokine, Mitochondrial and Lipid Metabolism Signatures in Leprosy

被引:45
作者
Albuquerque Guerreiro, Luana Tatiana [1 ]
Robottom-Ferreira, Anna Beatriz [1 ]
Ribeiro-Alves, Marcelo [1 ,2 ]
Toledo-Pinto, Thiago Gomes [1 ]
Brito, Tiana Rosa [1 ]
Rosa, Patricia Sammarco [4 ]
Sandoval, Felipe Galvan [5 ]
Jardim, Marcia Rodrigues [1 ]
Antunes, Sergio Gomes [1 ]
Shannon, Edward J. [5 ]
Sarno, Euzenir Nunes [1 ]
Vidal Pessolani, Maria Cristina [3 ]
Williams, Diana Lynn [5 ]
Moraes, Milton Ozorio [1 ]
机构
[1] FIOCRUZ RJ, Fundacao Oswaldo Cruz, Inst Oswaldo Cruz, Lab Hanseniase, Rio De Janeiro, Brazil
[2] FIOCRUZ RJ, Inst Pesquisa Clin Evandro Chagas IPEC, Lab Pesquisa Farmacogenet, Rio De Janeiro, Brazil
[3] FIOCRUZ RJ, Lab Microbiol Celular, Rio De Janeiro, Brazil
[4] Inst Lauro Souza Lima, Sao Paulo, Brazil
[5] Louisiana State Univ, Sch Vet Med, Hlth Resources & Serv Adm HRSA,Lab Res Branch, Bur Primary Hlth Care BPHC,Div Natl Hansens Dis P, Baton Rouge, LA 70803 USA
关键词
MYCOBACTERIUM-LEPRAE; REAL-TIME; GENOMEWIDE ASSOCIATION; SUSCEPTIBILITY GENES; LEPROMATOUS LEPROSY; LYMPHOTOXIN-ALPHA; TUBERCULOSIS; MODEL; DIAGNOSIS; CELLS;
D O I
10.1371/journal.pone.0064748
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Herein, we performed microarray experiments in Schwann cells infected with live M. leprae and identified novel differentially expressed genes (DEG) in M. leprae infected cells. Also, we selected candidate genes associated or implicated with leprosy in genetic studies and biological experiments. Forty-seven genes were selected for validation in two independent types of samples by multiplex qPCR. First, an in vitro model using THP-1 cells was infected with live Mycobacterium leprae and M. bovis bacillus Calmette-Guerin (BCG). In a second situation, mRNA obtained from nerve biopsies from patients with leprosy or other peripheral neuropathies was tested. We detected DEGs that discriminate M. bovis BCG from M. leprae infection. Specific signatures of susceptible responses after M. leprae infection when compared to BCG lead to repression of genes, including CCL2, CCL3, IL8 and SOD2. The same 47-gene set was screened in nerve biopsies, which corroborated the down-regulation of CCL2 and CCL3 in leprosy, but also evidenced the down-regulation of genes involved in mitochondrial metabolism, and the up-regulation of genes involved in lipid metabolism and ubiquitination. Finally, a gene expression signature from DEG was identified in patients confirmed of having leprosy. A classification tree was able to ascertain 80% of the cases as leprosy or non-leprous peripheral neuropathy based on the expression of only LDLR and CCL4. A general immune and mitochondrial hypo-responsive state occurs in response to M. leprae infection. Also, the most important genes and pathways have been highlighted providing new tools for early diagnosis and treatment of leprosy.
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