Evidence map›Paper›PMID 27211555›Full record

ArticleEBioMedicine2016

A Long-term Co-perfused Disseminated Tuberculosis-3D Liver Hollow Fiber Model for Both Drug Efficacy and Hepatotoxicity in Babies.

Shashikant Srivastava, Jotam G Pasipanodya, Geetha Ramachandran, Devyani Deshpande, Stephen Shuford, Howland E Crosswell, Kayle N Cirrincione, Carleton M Sherman, Soumya Swaminathan, Tawanda Gumbo

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 46 citations in OpenAlex.

  1. Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  13. Integrating Pharmacokinetics and Pharmacodynamics in Operational Research to End Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
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  14. Article
  15. Article
  16. Pharmacokinetic/Pharmacodynamic Background and Methods and Scientific Evidence Base for Dosing of Second-line Tuberculosis Drugs.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  17. Multiparameter Responses to Tedizolid Monotherapy and Moxifloxacin Combination Therapy Models of Children With Intracellular Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  18. Article
  19. Article
  20. Drug-Penetration Gradients Associated with Acquired Drug Resistance in Patients with Tuberculosis.American journal of respiratory and critical care medicine · 2018
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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

10 authors at 3 institutions in 2 countries.

Shashikant SrivastavaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA.
Jotam G PasipanodyaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA.
Geetha RamachandranTuberculosis Research Center Chennai, India.
Devyani DeshpandeCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA.
Stephen ShufordKIYATEC Inc., Greenville, SC, USA.
Howland E CrosswellKIYATEC Inc., Greenville, SC, USA.
Kayle N CirrincioneCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA.
Carleton M ShermanCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA.
Soumya SwaminathanTuberculosis Research Center Chennai, India.
Tawanda GumboCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA; Tuberculosis Research Center Chennai, India. Electronic address: tawanda.gumbo@BSWhealth.org.
Baylor University Medical Center · USKiyatec (United States) · USNational Institute of Research in Tuberculosis · IN

Funding

Efflux pump inhibitors to reduce duration of antituberculosis therapyDP2OD001886 · OD · UT SOUTHWESTERN MEDICAL CENTER · PI GUMBO, TAWANDA · 2007 to 2007
$2.4M
PK-PD of combination antituberculosis therapy for suppression of drug-resistanceR01AI079497 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GUMBO, TAWANDA · 2008 to 2011
$2.3M
NIAID NIH HHS R01 AI079497NIH HHS DP2 OD001886
6 · The paper itself

Abstract

Treatment of disseminated tuberculosis in children≤6years has not been optimized. The pyrazinamide-containing combination regimen used to treat disseminated tuberculosis in babies and toddlers was extrapolated from adult pulmonary tuberculosis. Due to hepatotoxicity worries, there are no dose-response studies in children. We designed a hollow fiber system model of disseminated intracellular tuberculosis with co-perfused three-dimensional organotypic liver modules to simultaneously test for efficacy and toxicity. We utilized pediatric pharmacokinetics of pyrazinamide and acetaminophen to determine dose-dependent pyrazinamide efficacy and hepatotoxicity. Acetaminophen concentrations that cause hepatotoxicity in children led to elevated liver function tests, while 100mg/kg pyrazinamide did not. Surprisingly, pyrazinamide did not kill intracellular Mycobacterium tuberculosis up to fourfold the standard dose as monotherapy or as combination therapy, despite achieving high intracellular concentrations. Host-pathogen RNA-sequencing revealed lack of a pyrazinamide exposure transcript signature in intracellular bacteria or of phagolysosome acidification on pH imaging. Artificial intelligence algorithms confirmed that pyrazinamide was not predictive of good clinical outcomes in children≤6years who had extrapulmonary tuberculosis. Thus, adding a drug that works inside macrophages could benefit children with disseminated tuberculosis. Our in vitro model can be used to identify such new regimens that could accelerate cure while minimizing toxicity.

Indexed as

AcetaminophenAntitubercular AgentsCell LineChemical and Drug Induced Liver InjuryChild, PreschoolCoculture TechniquesHumansInfantInfant, NewbornModels, BiologicalMycobacterium tuberculosisPyrazinamideToxicity TestsTreatment OutcomeTuberculosisAcetaminophenAntitubercular AgentsPyrazinamide3D liver hollow fiber modelDisseminated tuberculosisHepatotoxicityPediatric

Identifiers

PMID27211555
PMCPMC4856747
OpenAlexW2292611950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.