Evidence map›Paper›PMID 36475757›Full record

ArticleMicrobiology spectrum2023

Optimizing DNA Extraction from Pediatric Stool for Diagnosis of Tuberculosis and Use in Next-Generation Sequencing Applications.

Tara E Ness, Lennard Meiwes, Alexander Kay, Rojelio Mejia, Christoph Lange, Maha Farhat, Anna Mandalakas, Andrew DiNardo

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Metagenomic next-generation sequencing forFrontiers in public health · 2023
    Pooled it
  3. Article
  4. Article
  5. Drug susceptibility testing for TB using the Xpert MTB/XDR assay on stool specimens.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Article
  6. Article
  7. Southern African journal of infectious diseases · 2025
    Article
  8. Article
  9. Article
  10. Article
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

8 authors at 4 institutions in 2 countries.

Tara E NessDivision of Pediatric Infectious Diseases, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.ORCID 0000-0002-4425-418X
Lennard MeiwesRespiratory Medicine and International Health, University of Lübeck, Lübeck, Germany.
Alexander KayGlobal TB Program, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.
Rojelio MejiaDivision of Pediatric Infectious Diseases, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.ORCID 0000-0003-4134-4558
Christoph LangeRespiratory Medicine and International Health, University of Lübeck, Lübeck, Germany.
Maha FarhatHarvard Medical School, Department of Biomedical Informatics, Boston, Massachusetts, USA.
Anna MandalakasGlobal TB Program, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.
Andrew DiNardoGlobal TB Program, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.
Baylor College of Medicine · USGerman Center for Infection Research · DEHarvard University · USUniversity of Lübeck · DE

Funding

Quantifiable stool-based TB PCR to Improve Diagnostics and Treatment MonitoringR01AI137527 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI MANDALAKAS, ANNA M · 2019 to 2022
$2.7M
Persistent DNA Hyper-Methylation of the IFN-γ Signaling Pathway During TuberculosisK23AI141681 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI DINARDO, ANDREW R · 2019 to 2023
$947k
Developing Clinical Prediction Tools to Define Strategies for Differentiated Service Delivery in Children and Adolescents Living with HIV in sub-Saharan Africa.K01TW011482 · FIC · BAYLOR COLLEGE OF MEDICINE · PI KAY, ALEXANDER WILLIAM · 2020 to 2024
$749k
FIC NIH HHS K01 TW011482NIAID NIH HHS K23 AI141681NIAID NIH HHS R01 AI137527
6 · The paper itself

Abstract

The WHO has endorsed the use of stool samples for diagnosis of tuberculosis (TB) in children, and targeted next-generation sequencing (tNGS) of stool has been shown to support diagnosis and provide information about drug susceptibility (DS). Optimizing extraction of DNA from stool for sequencing is critical to ensure high diagnostic sensitivity and accurate DS information. Human stool samples were spiked with various concentrations of Mycobacterium bovis bacillus Calmette-Guérin (BCG), and DNA was extracted from the samples using four different DNA extraction kits. Each sample was subjected to quantitative PCR for identifying Mycobacterium tuberculosis complex bacteria and underwent further analysis to assess the overall DNA yield, fragment length, and purity. This same process was performed with 10 pediatric participants diagnosed with pulmonary TB, and the samples underwent tNGS. The FastDNA spin kit for soil showed the best results on model samples spiked with known quantities of BCG, compared to the other extraction methods evaluated. For clinical samples, the FastDNA and PowerFecal Pro DNA (PowerFecal) kits both showed an increase in the overall DNA quantity, M. tuberculosis-specific DNA quantity, and successful targeted sequencing when testing was performed on stool samples, compared to the two other kits. Three samples extracted via PowerFecal and three samples extracted via FastDNA (from different patients) provided successful sequencing data, with an average depth of coverage of the

Indexed as

Mycobacterium bovisMycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryBCG VaccineChildDNA, BacterialHigh-Throughput Nucleotide SequencingHumansBCG VaccineDNA, BacterialDNA sequencingextractionMycobacterium tuberculosisstool

Identifiers

PMID36475757
PMCPMC9927083
OpenAlexW4310956096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.