Evidence map›Paper›PMID 35366820›Full record

Trial reportBMC infectious diseases2022

Sputum lipoarabinomannan (LAM) as a biomarker to determine sputum mycobacterial load: exploratory and model-based analyses of integrated data from four cohorts.

Aksana Jones, Jay Saini, Belinda Kriel, Laura E Via, Yin Cai, Devon Allies, Debra Hanna, David Hermann, Andre G Loxton, Gerhard Walzl and 5 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled TrialClinical Trial, Phase II
In one paragraph

Trial report in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02371681 (NexGen EBA Radiologic and Immunologic Biomarkers of Sterilizing Drug Activity in Tuberculosis), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-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.

NCT02371681 phase2completednot on this map

NexGen EBA Radiologic and Immunologic Biomarkers of Sterilizing Drug Activity in Tuberculosis

TypeinterventionalSponsorNational Institute of Allergy and Infectious Diseases (NIAID)Ran2015 to 2017Enrolled262ConditionsPulmonary TuberculosisArmsTreatment, PET/CT Scan, Sample Collection
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. 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

15 authors at 10 institutions in 3 countries.

Aksana JonesSimulations Plus, Inc, 42505 10th Street W, Lancaster, CA, 93534, USA.
Jay SainiSimulations Plus, Inc, 42505 10th Street W, Lancaster, CA, 93534, USA.
Belinda KrielDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Laura E ViaTuberculosis Research Section, Laboratory of Clinical Microbiology and Immunology, Division of Intramural Research, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA.
Yin CaiTuberculosis Research Section, Laboratory of Clinical Microbiology and Immunology, Division of Intramural Research, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA.
Devon AlliesDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Debra HannaBill & Melinda Gates Foundation, Seattle, Washington, USA.
David HermannBill & Melinda Gates Foundation, Seattle, Washington, USA.
Andre G LoxtonDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Gerhard WalzlDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Andreas H DiaconTASK Applied Science, Cape Town, South Africa.
Klaus RomeroCritical Path Institute, Tucson, AZ, USA.
Ryo HigashiyamaOtsuka Pharmaceutical Company, Tokushima, Japan.
Yongge LiuOtsuka Pharmaceutical Development & Commercialization, Inc, Rockville, MD, USA.
Alexander BergSimulations Plus, Inc, 42505 10th Street W, Lancaster, CA, 93534, USA. alexander.berg@simulations-plus.com.
Simulations Plus (United States) · USBill & Melinda Gates Foundation · USSouth African Medical Research Council · ZAStellenbosch University · ZACritical Path Institute · USNational Institutes of Health · USOtsuka (Japan) · JPPharmaceutical Product Development (United States) · USTask Applied Science · ZAUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the high global disease burden of tuberculosis (TB), the disease caused by Mycobacterium tuberculosis (Mtb) infection, novel treatments remain an urgent medical need. Development efforts continue to be hampered by the reliance on culture-based methods, which often take weeks to obtain due to the slow growth rate of Mtb. The availability of a "real-time" measure of treatment efficacy could accelerate TB drug development. Sputum lipoarabinomannan (LAM; an Mtb cell wall glycolipid) has promise as a pharmacodynamic biomarker of mycobacterial sputum load.

methodsThe present analysis evaluates LAM as a surrogate for Mtb burden in the sputum samples from 4 cohorts of a total of 776 participants. These include those from 2 cohorts of 558 non-TB and TB participants prior to the initiation of treatment (558 sputum samples), 1 cohort of 178 TB patients under a 14-day bactericidal activity trial with various mono- or multi-TB drug therapies, and 1 cohort of 40 TB patients with data from the first 56-day treatment of a standard 4-drug regimen.

resultsRegression analysis demonstrated that LAM was a predictor of colony-forming unit (CFU)/mL values obtained from the 14-day treatment cohort, with well-estimated model parameters (relative standard error ≤ 22.2%). Moreover, no changes in the relationship between LAM and CFU/mL were observed across the different treatments, suggesting that sputum LAM can be used to reasonably estimate the CFU/mL in the presence of treatment. The integrated analysis showed that sputum LAM also appears to be as good a predictor of time to Mycobacteria Growth Incubator Tube (MGIT) positivity as CFU/mL. As a binary readout, sputum LAM positivity is a strong predictor of solid media or MGIT culture positivity with an area-under-the-curve value of 0.979 and 0.976, respectively, from receiver-operator curve analysis.

conclusionsOur results indicate that sputum LAM performs as a pharmacodynamic biomarker for rapid measurement of Mtb burden in sputum, and thereby may enable more efficient early phase clinical trial designs (e.g., adaptive designs) to compare candidate anti-TB regimens and streamline dose selection for use in pivotal trials. Trial registration NexGen EBA study (NCT02371681).

Indexed as

Mycobacterium tuberculosisSputumBiomarkersHumansLipopolysaccharidesBiomarkerslipoarabinomannanLipopolysaccharidesBiomarkerLAMLipoarabinomannanMycobacteriumTuberculosis

Identifiers

PMID35366820
PMCPMC8976459
OpenAlexW4223598729

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.