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The oral microbiome of newly diagnosed tuberculosis patients; a pilot study.
Shahzad, Muhammad; Saeed, Muhammad; Amin, Humaira; Binmadi, Nada; Ullah, Zafar; Bibi, Sana; Andrew, Simon C.
Afiliación
  • Shahzad M; Faculty of Dentistry, Zarqa University, Zarqa 13110, Jordan; Institute of Basic Medical Sciences, Khyber Medical University, Hayat Abad Phase 5, Peshawar 25120, Pakistan. Electronic address: mshahzad@zu.edu.jo.
  • Saeed M; Institute of Basic Medical Sciences, Khyber Medical University, Hayat Abad Phase 5, Peshawar 25120, Pakistan.
  • Amin H; Alpha Genomics Private Limited, Islamabad 45710, Pakistan.
  • Binmadi N; Department of Oral Diagnostic Sciences, King Abdulaziz University Faculty of Dentistry, Jeddah, Saudi Arabia.
  • Ullah Z; Institute of Basic Medical Sciences, Khyber Medical University, Hayat Abad Phase 5, Peshawar 25120, Pakistan.
  • Bibi S; Alpha Genomics Private Limited, Islamabad 45710, Pakistan.
  • Andrew SC; School of Biological Sciences, Health and Life Sciences Building, University of Reading, Reading RG6 6EX, UK. Electronic address: s.c.andrews@reading.ac.uk.
Genomics ; 116(2): 110816, 2024 03.
Article en En | MEDLINE | ID: mdl-38431030
ABSTRACT

BACKGROUND:

Changes in oral microbiota composition (dysbiosis) have long been known to play a key role in the pathogenesis of oral and systemic diseases including respiratory diseases. However, till now, no study has assessed changes in oral microbiota following tuberculosis (TB) infection in humans.

AIMS:

This is the first study of its kind that aimed to investigate oral microbial dysbiosis in newly diagnosed, treatment naïve, TB patients.

METHODS:

Oral swab samples were collected from newly diagnosed TB patients (n = 20) and age, gender and ethnicity matched healthy controls (n = 10). DNA was extracted and microbiota analyzed by sequencing the hypervariable (V3-V4) region of the bacterial 16S rRNA gene using Illumina MiSeq platform. Bioinformatics and statistical analyses were performed using QIIME and R.

RESULTS:

Bacterial richness, diversity and community composition were significantly different between TB patients and healthy controls. The two groups also exhibit differential abundance at phylum, class, genus and species levels. LEfSe analysis revealed enrichment (LDA scores (log10) >2, P < 0.05) of Firmicutes (especially Streptococcus) and Actinobacteriota (especially Rothia) in TB patients relative to healthy controls. Gene function prediction analysis showed upregulation of metabolic pathways related to carbohydrates (butanoate, galactose) and fatty acids metabolism, antibiotics biosynthesis, proteosome and immune system signaling.

CONCLUSION:

These observations suggest significant variations in diversity, relative abundance and functional potential of oral microbiota of TB patients compared to healthy controls thereby suggesting potential role of oral bacterial dysbiosis in TB pathogenesis. However, longitudinal studies using powerful metagenomic and transcriptomic approaches are crucial to more fully understand and confrim these findings.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tuberculosis / Microbiota Límite: Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tuberculosis / Microbiota Límite: Humans Idioma: En Revista: Genomics Asunto de la revista: GENETICA Año: 2024 Tipo del documento: Article