Evidence map›Paper›PMID 36253384›Full record

ArticleScientific reports2022

An optimized method for purifying, detecting and quantifying Mycobacterium tuberculosis RNA from sputum for monitoring treatment response in TB patients.

Kayvan Zainabadi, Myung Hee Lee, Kathleen Frances Walsh, Stalz Charles Vilbrun, Laurent Daniel Mathurin, Oksana Ocheretina, Jean William Pape, Daniel W Fitzgerald

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Beyond culturability: VBNC-like and differentially culturableFrontiers in cellular and infection microbiology · 2026
    Review
  4. International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Aerosolization of viableProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
  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.

Kayvan ZainabadiCenter for Global Health, Weill Cornell Medicine, New York, NY, USA. kayvan@alum.mit.edu.
Myung Hee LeeCenter for Global Health, Weill Cornell Medicine, New York, NY, USA.
Kathleen Frances WalshCenter for Global Health, Weill Cornell Medicine, New York, NY, USA.
Stalz Charles VilbrunLes Centres GHESKIO, Port-au-Prince, Haiti.
Laurent Daniel MathurinLes Centres GHESKIO, Port-au-Prince, Haiti.
Oksana OcheretinaCenter for Global Health, Weill Cornell Medicine, New York, NY, USA.
Jean William PapeCenter for Global Health, Weill Cornell Medicine, New York, NY, USA.
Daniel W FitzgeraldCenter for Global Health, Weill Cornell Medicine, New York, NY, USA. dwf2001@med.cornell.edu.
Gheskio Centers · HTCornell University · USWeill Cornell Medicine · USCenter for Global Health · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Viable but Nonculturable MtbU19AI111143 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLICKMAN, MICHAEL S, NATHAN, CARL FRANCIS · 2014 to 2020
$48.6M
Pharmacology & ImmunoPathology (PIP) CoreU19AI162568 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI EHRT, SABINE · 2021 to 2025
$13.0M
Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Global Health Research Training in HIV and TuberculosisK24AI098627 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI FITZGERALD, DANIEL W · 2012 to 2022
$1.8M
FIC NIH HHS D43 TW009337NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NIAID NIH HHS K24 AI098627NIAID NIH HHS U19 AI111143NIAID NIH HHS U19 AI162568
6 · The paper itself

Abstract

Diagnostics that more accurately detect and quantify viable Mycobacterium tuberculosis (Mtb) in the sputum of patients undergoing therapy are needed. Current culture- and molecular-based tests have shown limited efficacy for monitoring treatment response in TB patients, either due to the presence of viable sub-populations of Mtb which fail to grow under standard culture conditions (termed differentially detectable/culturable Mtb, DD Mtb) or the prolonged half-life of Mtb DNA in sputum. Here, we report an optimized RNA-based method for detecting and quantifying viable Mtb from patient sputum during the course of therapy. We first empirically derived a novel RNA extraction protocol from sputum that improves recovery of Mtb RNA while almost completely eliminating contamination from Mtb DNA and host nucleic acids. Next, we identified five Mtb 16S rRNA primer sets with varying limits of detection that were capable of distinguishing between live versus dead H37Rv Mtb. This combined protocol was then tested on sputa from a longitudinal cohort of patients receiving therapy for drug sensitive (DS) or drug resistant (DR) TB with first-line or second-line regimens, respectively. Results were compared with that of culture, including CFU, BACTEC MGIT, and a limiting dilution assay capable of detecting DD Mtb. The five 16S rRNA primer sets positively identified nearly all (range 94-100%) culture positive sputa, and a portion (19-37%) of culture negative sputa. In comparison, ten highly expressed Mtb mRNAs showed positivity in 72-86% of culture positive sputa, and in 0-13% of culture negative sputa. Two of the five 16S rRNA primer sets were able to positively identify 100% of culture positive sputa, and when tested on culture negative sputa from the DS cohort at 2 months post-initiation of therapy, identified 40% of samples as positive; a percentage that is in line with expected treatment failure rates when first-line therapy is discontinued early. These two primer sets also detected 16S rRNA in 13-20% of sputa at 6 months post-initiation of therapy in the DR cohort. Cycle threshold values for 16S rRNA showed a strong correlation with Mtb numbers as determined by culture (R > 0.87), including as Mtb numbers declined during the course of treatment with first-line and second-line regimens. The optimized molecular assay outlined here may have utility for monitoring treatment response in TB patients.

Indexed as

Mycobacterium tuberculosisTuberculosis, Lymph NodeTuberculosis, PulmonaryHumansRNA, Ribosomal, 16SSensitivity and SpecificitySputumRNA, Ribosomal, 16S

Identifiers

PMID36253384
PMCPMC9574834
OpenAlexW4306407115

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.