miR-30c is specifically repressed in patients with active pulmonary tuberculosis

Spinelli, Silvana Virginia; Fernández, R; Zoff, Luciana; Bongiovanni, Bettina; Díaz, Ariana; D’Attilio, Luciano; Santucci, Natalia; Alvarez, Tomas; Marchesini, Marcela M.; Bogué, Cristina; Bay, María Luisa

doi:10.1016/j.tube.2017.04.004

Cited by 8 publications

(3 citation statements)

References 36 publications

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“…Intersecting the available miRNA expression profiles in these literature, we harvested miR‐30c and miR‐142‐3p finally (data not shown). Spinelli et al 27 found that miR‐30c is strongly downregulated in mononuclear cells of pulmonary TB patients compared to tuberculous pleurisy cases and identified miR‐30c as a specific correlate of pulmonary manifestations of TB. And miR‐142‐3p interacted with a functional SNP (rs13120371) in the 3′ untranslated region of the xCT gene which increases susceptibility to TB 28 .…”

Section: Discussionmentioning

confidence: 99%

Integrating serum microRNAs and electronic health records improved the diagnosis of tuberculosis

Gao

Chen²,

Zhuang

et al. 2021

Clinical Laboratory Analysis

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Background To verify the differential expression of miR‐30c and miR‐142‐3p between tuberculosis patients and healthy controls and to investigate the performance of microRNA (miRNA) and subsequently models for the diagnosis of tuberculosis (TB). Methods We followed up 460 subjects suspected of TB, and finally enrolled 132 patients, including 60 TB patients, 24 non‐TB disease controls (TB‐DCs), and 48 healthy controls (HCs). The differential expression of miR‐30c and miR‐142‐3p in serum samples of the TB patients, TB‐DCs, and HCs were identified by reverse transcription–quantitative real‐time PCR. Diagnostic models were developed by analyzing the characteristics of miRNA and electronic health records (EHRs). These models evaluated by the area under the curves (AUC) and calibration curves were presented as nomograms. Results There were differential expression of miR‐30c and miR‐142‐3p between TB patients and HCs (p < 0.05). Individual miRNA has a limited diagnostic value for TB. However, diagnostic performance has been both significantly improved when we integrated miR‐142‐3p and ordinary EHRs to develop two models for the diagnosis of tuberculosis. The AUC of the model for distinguishing tuberculosis patients from healthy controls has increased from 0.75 (95% CI: 0.66–0.84) to 0.96 (95% CI: 0.92–0.99) and the model for distinguishing tuberculosis patients from non‐TB disease controls has increased from 0.67 (95% CI: 0.55–0.79) to 0.94 (95% CI: 0.89–0.99). Conclusions Integrating serum miR‐142‐3p and EHRs is a good strategy for improving TB diagnosis.

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Section: Discussionmentioning

confidence: 99%

Integrating serum microRNAs and electronic health records improved the diagnosis of tuberculosis

Gao

Chen²,

Zhuang

et al. 2021

Clinical Laboratory Analysis

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“…The miR-30 family includes miRNAs that are downregulated in patients with active TB. For example, the expression of miR-30b and miR-30d in the serum and the expression of miR-30c in PBMCs are decreased ( 199 , 213 ). In patients with active TB, seven miRNAs (miR-769-5p, miR-151a-3p, miR-223-3p, miR-448, miR-224-5p, miR-324-5p, and miR-488-5p) exhibited decreased levels only in the plasma ( 202 , 214 , 215 ), four miRNAs (let-7a-5p, miR-196b-5p, miR-892b, and miR-409-5p) exhibited decreased levels only in PBMCs ( 210 , 211 , 216 ), and two miRNAs (miR-197-3p and miR-99b-5p) exhibited decreased levels only in neutrophils ( 208 ).…”

Section: Mirnas Function As Biomarkersmentioning

confidence: 99%

MicroRNAs as immune regulators and biomarkers in tuberculosis

Wang

Xiong

et al. 2022

Front. Immunol.

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Tuberculosis (TB), which is caused by Mycobacterium tuberculosis (Mtb), is one of the most lethal infectious disease worldwide, and it greatly affects human health. Some diagnostic and therapeutic methods are available to effectively prevent and treat TB; however, only a few systematic studies have described the roles of microRNAs (miRNAs) in TB. Combining multiple clinical datasets and previous studies on Mtb and miRNAs, we state that pathogens can exploit interactions between miRNAs and other biomolecules to avoid host mechanisms of immune-mediated clearance and survive in host cells for a long time. During the interaction between Mtb and host cells, miRNA expression levels are altered, resulting in the changes in the miRNA-mediated regulation of host cell metabolism, inflammatory responses, apoptosis, and autophagy. In addition, differential miRNA expression can be used to distinguish healthy individuals, patients with TB, and patients with latent TB. This review summarizes the roles of miRNAs in immune regulation and their application as biomarkers in TB. These findings could provide new opportunities for the diagnosis and treatment of TB.

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“…This approach might present limitations for the robustness and reproducibility of results. At variance, several other studies performed only qRT-PCR to validate candidate miRNA biomarkers identified from available datasets or based on the role of the candidate miRNA in TB pathogenesis [ 111 , 113 , 114 , 117 , 119 ].…”

Section: Biomarker Discovery Studiesmentioning

confidence: 99%

Tuberculosis-Associated MicroRNAs: From Pathogenesis to Disease Biomarkers

Sinigaglia

Peta

Riccetti

et al. 2020

Cells

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Tuberculosis (TB) caused by Mycobacterium tuberculosis is one of the most lethal infectious diseases with estimates of approximately 1.4 million human deaths in 2018. M. tuberculosis has a well-established ability to circumvent the host immune system to ensure its intracellular survival and persistence in the host. Mechanisms include subversion of expression of key microRNAs (miRNAs) involved in the regulation of host innate and adaptive immune response against M. tuberculosis. Several studies have reported differential expression of miRNAs during active TB and latent tuberculosis infection (LTBI), suggesting their potential use as biomarkers of disease progression and response to anti-TB therapy. This review focused on the miRNAs involved in TB pathogenesis and on the mechanism through which miRNAs induced during TB modulate cell antimicrobial responses. An attentive study of the recent literature identifies a group of miRNAs, which are differentially expressed in active TB vs. LTBI or vs. treated TB and can be proposed as candidate biomarkers.

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miR-30c is specifically repressed in patients with active pulmonary tuberculosis

Cited by 8 publications

References 36 publications

Integrating serum microRNAs and electronic health records improved the diagnosis of tuberculosis

Integrating serum microRNAs and electronic health records improved the diagnosis of tuberculosis

MicroRNAs as immune regulators and biomarkers in tuberculosis

Tuberculosis-Associated MicroRNAs: From Pathogenesis to Disease Biomarkers

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