Evidence map›Paper›PMID 31349646›Full record

ArticleCancers2019

A Preliminary Investigation towards the Risk Stratification of Allogeneic Stem Cell Recipients with Respect to the Potential for Development of GVHD via Their Pre-Transplant Plasma Lipid and Metabolic Signature.

Daniel Contaifer, Catherine H Roberts, Naren Gajenthra Kumar, Ramesh Natarajan, Bernard J Fisher, Kevin Leslie, Jason Reed, Amir A Toor, Dayanjan S Wijesinghe

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Metabolites · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Review
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

9 authors at 1 institution in 1 country.

Daniel ContaiferDepartment of Pharmacotherapy and Outcomes Sciences, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA.
Catherine H RobertsDepartment of Internal Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
Naren Gajenthra KumarDepartment of Microbiology, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0001-7248-6351
Ramesh NatarajanDepartment of Internal Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0002-3431-9971
Bernard J FisherDepartment of Internal Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
Kevin LeslieDepartment of Physics, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA 23284, USA.
Jason ReedDepartment of Physics, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA 23284, USA.
Amir A ToorDepartment of Internal Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA. amir.toor@vcuhealth.org.
Dayanjan S WijesingheDepartment of Pharmacotherapy and Outcomes Sciences, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA. wijesingheds@vcu.edu.
Virginia Commonwealth University · US

Funding

The utilization of photonics technology to rapidly detect bioactive lipids associated with preeclampsia developmentU01HD087198 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI CHALFANT, CHARLES E., WALSH, SCOTT W · 2015 to 2015
$4.2M
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
National Institute of Child Health and Human Development HD087198NCI NIH HHS R01 CA185189
6 · The paper itself

Abstract

The clinical outcome of allogeneic hematopoietic stem cell transplantation (SCT) may be influenced by the metabolic status of the recipient following conditioning, which in turn may enable risk stratification with respect to the development of transplant-associated complications such as graft vs. host disease (GVHD). To better understand the impact of the metabolic profile of transplant recipients on post-transplant alloreactivity, we investigated the metabolic signature of 14 patients undergoing myeloablative conditioning followed by either human leukocyte antigen (HLA)-matched related or unrelated donor SCT, or autologous SCT. Blood samples were taken following conditioning and prior to transplant on day 0 and the plasma was comprehensively characterized with respect to its lipidome and metabolome via liquid chromatography/mass spectrometry (LCMS) and gas chromatography/mass spectrometry (GCMS). A pro-inflammatory metabolic profile was observed in patients who eventually developed GVHD. Five potential pre-transplant biomarkers, 2-aminobutyric acid, 1-monopalmitin, diacylglycerols (DG 38:5, DG 38:6), and fatty acid FA 20:1 demonstrated high sensitivity and specificity towards predicting post-transplant GVHD. The resulting predictive model demonstrated an estimated predictive accuracy of risk stratification of 100%, with area under the curve of the ROC of 0.995. The likelihood ratio of 1-monopalmitin (infinity), DG 38:5 (6.0), and DG 38:6 (6.0) also demonstrated that a patient with a positive test result for these biomarkers following conditioning and prior to transplant will be at risk of developing GVHD. Collectively, the data suggest the possibility that pre-transplant metabolic signature may be used for risk stratification of SCT recipients with respect to development of alloreactivity.

Indexed as

graft vs. host diseaselipidomicsmetabolomicsrisk stratificationstem cell transplantation

Identifiers

PMID31349646
PMCPMC6721383
OpenAlexW2963664445

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.