Evidence map›Paper›PMID 38062538›Full record

ArticleHuman genomics2023

Whole mitogenome sequencing uncovers a relation between mitochondrial heteroplasmy and leprosy severity.

Felipe Gouvea de Souza, Moisés Batista da Silva, Gilderlanio S de Araújo, Caio S Silva, Andrey Henrique Gama Pinheiro, Miguel Ángel Cáceres-Durán, Mayara Natália Santana-da-Silva, Pablo Pinto, Angélica Rita Gobbo, Patrícia Fagundes da Costa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

13 authors at 1 institution in 1 country.

Felipe Gouvea de SouzaLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Moisés Batista da SilvaLaboratório de Dermato-Imunologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Marituba, PA, 67105-290, Brazil.
Gilderlanio S de AraújoLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Caio S SilvaLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Andrey Henrique Gama PinheiroLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Miguel Ángel Cáceres-DuránLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Mayara Natália Santana-da-SilvaLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Pablo PintoLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil.
Angélica Rita GobboLaboratório de Dermato-Imunologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Marituba, PA, 67105-290, Brazil.
Patrícia Fagundes da CostaLaboratório de Dermato-Imunologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Marituba, PA, 67105-290, Brazil.
Claudio Guedes SalgadoLaboratório de Dermato-Imunologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Marituba, PA, 67105-290, Brazil.
Ândrea Ribeiro-Dos-SantosLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil. akelyufpa@gmail.com.
Giovanna C CavalcanteLaboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, 66075-110, Brazil. giovannaccavalcante@gmail.com.
Universidade Federal do Pará · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 3381/2013
6 · The paper itself

Abstract

backgroundIn recent years, the mitochondria/immune system interaction has been proposed, so that variants of mitochondrial genome and levels of heteroplasmy might deregulate important metabolic processes in fighting infections, such as leprosy.

methodsWe sequenced the whole mitochondrial genome to investigate variants and heteroplasmy levels, considering patients with different clinical forms of leprosy and household contacts. After sequencing, a specific pipeline was used for preparation and bioinformatics analysis to select heteroplasmic variants.

resultsWe found 116 variants in at least two of the subtypes of the case group (Borderline Tuberculoid, Borderline Lepromatous, Lepromatous), suggesting a possible clinical significance to these variants. Notably, 15 variants were exclusively found in these three clinical forms, of which five variants stand out for being missense (m.3791T > C in MT-ND1, m.5317C > A in MT-ND2, m.8545G > A in MT-ATP8, m.9044T > C in MT-ATP6 and m.15837T > C in MT-CYB). In addition, we found 26 variants shared only by leprosy poles, of which two are characterized as missense (m.4248T > C in MT-ND1 and m.8027G > A in MT-CO2).

conclusionWe found a significant number of variants and heteroplasmy levels in the leprosy patients from our cohort, as well as six genes that may influence leprosy susceptibility, suggesting for the first time that the mitogenome might be involved with the leprosy process, distinction of clinical forms and severity. Thus, future studies are needed to help understand the genetic consequences of these variants.

Indexed as

Genome, MitochondrialLeprosyHeteroplasmyHumansMitochondriaHaplogroupsLeprosyMitogenomemtDNAMycobacterium leprae

Identifiers

PMID38062538
PMCPMC10704783
OpenAlexW4389484484

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.