Evidence map›Paper›PMID 28275081›Full record

ArticleJournal of clinical microbiology2017

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

Karina T O S Jorge, Renan P Souza, Marieta T A Assis, Marcelo G Araújo, Massimo Locati, Amélia M R Jesus, Ida M F Dias Baptista, Cristiano X Lima, Antônio L Teixeira, Mauro M Teixeira and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 27 citations in OpenAlex.

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  13. Transcriptomic Analysis ofFrontiers in cellular and infection microbiology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Karina T O S JorgeDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Renan P SouzaDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Marieta T A AssisDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Marcelo G AraújoDepartamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Massimo LocatiHumanitas Clinical and Research Center, University of Milan, Milan, Italy.
Amélia M R JesusDepartamento de Medicina Interna e Patologia, Universidade Federal de Sergipe, Sergipe, Brazil.
Ida M F Dias BaptistaInstituto Lauro de Souza Lima, São Paulo, Brazil.
Cristiano X LimaDepartamento de Cirurgia, Faculdade de Medicina, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Antônio L TeixeiraDepartamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Mauro M TeixeiraDepartamento de Bioquímica e Imunologia, Universidade Federal de Minas Gerais, Minas Gerais, Brazil.
Frederico M SorianiDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Minas Gerais, Brazil fredsori@icb.ufmg.br.
Universidade Federal de Minas Gerais · BRInstituto Lauro de Souza Lima · BRUniversidade Federal de Sergipe · BRUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AdultEarly DiagnosisGenetic MarkersHumansLeprosyMicroRNAsMiddle AgedMycobacterium lepraeReal-Time Polymerase Chain ReactionROC CurveSensitivity and SpecificityYoung AdultGenetic MarkersMicroRNAsbiomarkerleprosymiRNA

Identifiers

PMID28275081
PMCPMC5405269
OpenAlexW2592132094

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.