Analysis of microRNA expression profiling identifies miR-155 and miR-155* as potential diagnostic markers for active tuberculosis: a preliminary study

Wu, Jing; Lu, Chanyi; Diao, Ni; Zhang, Shu; Wang, Sen; Wang, Feifei; Gao, Yan; Chen, Jiazhen; Shao, Lingyun; Lu, Jingning; Zhang, Xuelian; Weng, Xinhua; Wang, Honghai; Zhang, Wenhong; Huang, Yuxian

doi:10.1016/j.humimm.2011.10.003

Cited by 106 publications

(86 citation statements)

References 24 publications

(29 reference statements)

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“…Due to their diagnostic potential, miRNAs were evaluated as biomarkers in several pathological conditions like infectious diseases (38,39). Using different detection and data analysis approaches, some authors were able to identify miRNAs with a diagnostic power ranging from 82% to 100% in tuberculosis diagnosis (40)(41)(42)(43).…”

Section: Discussionmentioning

confidence: 99%

Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy

et al. 2017

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Leprosy is an important cause of disability in the developing world. Early diagnosis is essential to allow for cure and to interrupt transmission of this infection. MicroRNAs (miRNAs) are important factors for host-pathogen interaction and they have been identified as biomarkers for various infectious diseases. The expression profile of 377 microRNAs were analyzed by TaqMan low-density array (TLDA) in skin lesions of tuberculoid and lepromatous leprosy patients as well as skin specimens from healthy controls. In a second step, 16 microRNAs were selected for validation experiments with reverse transcription-quantitative PCR (qRT-PCR) in skin samples from new individuals. Principal-component analysis followed by logistic regression model and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of selected miRNAs. Four patterns of differential expression were identified in the TLDA experiment, suggesting a diagnostic potential of miRNAs in leprosy. After validation experiments, a combination of four miRNAs (miR-101, miR-196b, miR-27b, and miR-29c) was revealed as able to discriminate between healthy control and leprosy patients with 80% sensitivity and 91% specificity. This set of miRNAs was also able to discriminate between lepromatous and tuberculoid patients with a sensitivity of 83% and 80% specificity. In this work, it was possible to identify a set of miRNAs with good diagnostic potential for leprosy.KEYWORDS biomarker, leprosy, miRNA L eprosy is a chronic infectious disease caused by the bacillus Mycobacterium leprae. The infection affects primarily the skin and can cause damage to peripheral nerves, mucosa, and other organs, including liver and eyes. Leprosy is classified as a neglected tropical disease and remains one of the main causes of disability in the world (1-3). According to a World Health Organization (WHO) report including data from 138 countries, 211,974 newly diagnosed patients were notified in the year 2015 and 96% of them were reported from 22 countries, including Brazil (4).Leprosy presents a spectrum of clinical manifestations depending on the host immune response against M. leprae. It can be classified according to histopathological (Ridley-Jopling) criteria into different forms across two opposing poles: a so-called resistance pole responsible for a localized form of the disease (tuberculoid tuberculoid [TT]) and a susceptibility pole that is a disseminated form, which leads to the development of more severe clinical manifestations (lepromatous leprosy [LL]). There are also three intermediate and unstable forms: borderline tuberculoid (BT), borderline

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Section: Discussionmentioning

confidence: 99%

Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy

et al. 2017

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“…MtB can cause TB, and the host cell-mediated immune responses play a fundamental role against MtB infection (Wu et al, 2012). Many studies support the view that miRs have important roles in viral replication and can control viral infections including retroviruses, herpes viruses and small DNA viruses (Ha, 2011).…”

Section: Discussionmentioning

confidence: 99%

“…For example, miRNA-155 is essential for T cell-mediated Helicobacter pylori infection, and miR-147 attenuates TLR-induced inflammatory responses (Yi et al, 2012). In addition, Wu et al found that miR-155 and miR-155* are potential diagnostic markers that are up-regulated during immune challenge with MtB antigens (Wu et al, 2012). Liu et al also demonstrated that miR-582-5p plays an essential role in regulating anti-MtB directed immune responses by inhibiting monocyte apoptosis as well as down-regulating FOXO1 expression (Liu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Diagnostic values of microRNA-31 in peripheral blood mononuclear cells for pediatric pulmonary tuberculosis in Chinese patients

Jx¹,

Xu²,

Han³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. We investigated the diagnostic values of microRNA-31 in peripheral blood mononuclear cells (PBMCs) for pediatric pulmonary tuberculosis in Chinese patients. Sixty-five children with TB were selected for this study, which was conducted at the Department of Infectious Diseases People's Hospital of Laiwu City between December 2013 and December 2014. Sixty healthy children, selected in parallel, served as the control group. Real-time PCR was used to detect miR-31 expression in PBMCs. Serum levels of IL-6, TNF-α, NF-κB, and IFN-γ was detected by ELISA. ROC curve was employed to evaluate the diagnostic value of miR-31 in pediatric TB. Results show that expression of miRNA-31 in pediatric TB patients was significantly lower than that in normal children (0.48 ± 0.15 vs 1.23 ± 0.36, P < 0.05). By contrast, serum levels of the innate immune response cytokines, IL-6, TNF-α, NF-κB, and IFN-γ, were significantly higher in pediatric TB patients compared with normal children (P < 0.05). Furthermore, miRNA-31 expression was negatively correlated with serum levels of IL-6 (t = 69.91, P < 0.001), TNF-α (t = 10.96, P < 0.001), NF-κB (t = 39.94, P < 0.001), and IFN -γ (t = 37.94, P < 0.001). The cut-off threshold of miR-31 for pediatric TB diagnosis is 0.835 with a sensitivity of 98.5% and a (2015) specificity of 86.7%. Therefore, miR-31 has the potential to be a diagnostic marker in pediatric TB patients.

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“…We then applied a support vector machine with linear kernel (20 repetitions of standard 10-fold cross validation) for computing the accuracy, sensitivity, specificity and positive predictive values (PPV) with the corresponding 95% confidence intervals. Several studies aiming to identify deregulated miRNAs in active TB have been performed; however, only some of them addressed the issue of diagnostic performance [4][5][6][7][8]. The data of these studies revealed that the quantification of a single miRNA is not a reliable indicator of active TB [4,5].…”

Section: To the Editormentioning

confidence: 99%

“…Several studies aiming to identify deregulated miRNAs in active TB have been performed; however, only some of them addressed the issue of diagnostic performance [4][5][6][7][8]. The data of these studies revealed that the quantification of a single miRNA is not a reliable indicator of active TB [4,5]. Amongst the reasons is the neglect of miRNA expression differences between individuals.…”

Section: To the Editormentioning

confidence: 99%

A novel whole-blood miRNA signature for a rapid diagnosis of pulmonary tuberculosis

et al. 2015

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Analysis of microRNA expression profiling identifies miR-155 and miR-155* as potential diagnostic markers for active tuberculosis: a preliminary study

Cited by 106 publications

References 24 publications

Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy

Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy

Diagnostic values of microRNA-31 in peripheral blood mononuclear cells for pediatric pulmonary tuberculosis in Chinese patients

A novel whole-blood miRNA signature for a rapid diagnosis of pulmonary tuberculosis

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