Evidence map›Paper›PMID 28373264›Full record

ArticleBlood2017

Association of circulating transcriptomic profiles with mortality in sickle cell disease.

Ankit A Desai, Zhengdeng Lei, Neil Bahroos, Mark Maienschein-Cline, Santosh L Saraf, Xu Zhang, Binal N Shah, Seyed M Nouraie, Taimur Abbasi, Amit R Patel and 5 more

Abstract readValidation Study
In one paragraph

Article in Blood, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Whole Blood Transcriptome Analysis in Congenital Anemia Patients.International journal of molecular sciences · 2024
    Article
  5. Review
  6. Article
  7. Pulmonary circulation · 2023
    Article
  8. Therapeutic role of ursodeoxycholic acid in colitis-associated cancer via gut microbiota modulation.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Genetic modifiers of long-term survival in sickle cell anemia.Clinical and translational medicine · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. Sickle cell disease in the era of precision medicine: looking to the future.Expert review of precision medicine and drug development · 2019
    Article
  17. Measuring success: utility of biomarkers in sickle cell disease clinical trials and care.Hematology. American Society of Hematology. Education Program · 2018
    Review
  18. Biomarker signatures of sickle cell disease severity.Blood cells, molecules & diseases · 2018
    Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Ankit A DesaiDepartment of Medicine and Arizona Health Sciences Center, University of Arizona, Tucson, AZ.
Zhengdeng LeiCenter for Research Informatics, Research Resources Center and Center for Clinical and Translational Science, University of Illinois at Chicago, Chicago, IL.
Neil BahroosCenter for Research Informatics, Research Resources Center and Center for Clinical and Translational Science, University of Illinois at Chicago, Chicago, IL.
Mark Maienschein-ClineCenter for Research Informatics, Research Resources Center and Center for Clinical and Translational Science, University of Illinois at Chicago, Chicago, IL.
Santosh L SarafDepartment of Medicine, University of Illinois Hospitals and Health Sciences System, Chicago, IL.
Xu ZhangDepartment of Medicine, University of Illinois Hospitals and Health Sciences System, Chicago, IL.
Binal N ShahDepartment of Medicine, University of Illinois Hospitals and Health Sciences System, Chicago, IL.
Seyed M NouraieDepartment of Medicine, Howard University, Washington, DC; and.
Taimur AbbasiDepartment of Medicine, University of Illinois Hospitals and Health Sciences System, Chicago, IL.
Amit R PatelDepartment of Medicine, University of Chicago Medical Center, Chicago, IL.
Roberto M LangDepartment of Medicine, University of Chicago Medical Center, Chicago, IL.
Yves LussierDepartment of Medicine and Arizona Health Sciences Center, University of Arizona, Tucson, AZ.
Joe G N GarciaDepartment of Medicine and Arizona Health Sciences Center, University of Arizona, Tucson, AZ.
Victor R GordeukDepartment of Medicine, University of Illinois Hospitals and Health Sciences System, Chicago, IL.
Roberto F MachadoDepartment of Medicine, University of Illinois Hospitals and Health Sciences System, Chicago, IL.

Funding

Center for Clinical and Translational ScienceUL1TR000050 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AZAR, DIMITRI T, MERMELSTEIN, ROBIN J. · 2012 to 2014
$9.8M
Vascular Targeting Genomic & Genetic Strategies for Acute Chest SyndromeR01HL111656 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI Roberto F. Machado · 2013 to 2026
$7.9M
Role of Sphingolipid Pathways in the Pathobiology of PAHR01HL127342 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MACHADO, ROBERTO F., NATARAJAN, VISWANATHAN · 2016 to 2023
$4.5M
Pathogenic Role of IL-18 in Sickle Cell Cardiomyopathy and Inducible Ventricular TachycardiaR01HL136603 · NHLBI · UNIVERSITY OF ARIZONA · PI DESAI, ANKIT A · 2017 to 2021
$2.4M
Genetics and Genomics of Sickle Cell Nephropathy.K23HL125984 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SARAF, SANTOSH · 2015 to 2018
$700k
Carbon monoxide therapy for severe pulmonary arterial hypertensionK23HL098454 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MACHADO, ROBERTO F. · 2010 to 2014
$657k
NCATS NIH HHS UL1 TR000050NHLBI NIH HHS K23 HL098454NHLBI NIH HHS K23 HL125984NHLBI NIH HHS R01 HL111656NHLBI NIH HHS R01 HL127342NHLBI NIH HHS R01 HL136603
6 · The paper itself

Abstract

Sickle cell disease (SCD) complications are associated with increased morbidity and risk of mortality. We sought to identify a circulating transcriptomic profile predictive of these poor outcomes in SCD. Training and testing cohorts consisting of adult patients with SCD were recruited and prospectively followed. A pathway-based signature derived from grouping peripheral blood mononuclear cell transcriptomes distinguished 2 patient clusters with differences in survival in the training cohort. These findings were validated in a testing cohort in which the association between cluster 1 molecular profiling and mortality remained significant in a fully adjusted model. In a third cohort of West African children with SCD, cluster 1 differentiated SCD severity using a published scoring index. Finally, a risk score composed of assigning weights to cluster 1 profiling, along with established clinical risk factors using tricuspid regurgitation velocity, white blood cell count, history of acute chest syndrome, and hemoglobin levels, demonstrated a higher hazard ratio for mortality in both the training and testing cohorts compared with clinical risk factors or cluster 1 data alone. Circulating transcriptomic profiles are a powerful method to risk-stratify severity of disease and poor outcomes in both children and adults, respectively, with SCD and highlight potential associated molecular pathways.

Indexed as

Acute Chest SyndromeAdultAnemia, Sickle CellChildCohort StudiesFemaleHemoglobinsHumansKaplan-Meier EstimateLeukocyte CountMaleMiddle AgedPrognosisProspective StudiesRisk FactorsTranscriptomeHemoglobins

Identifiers

PMID28373264
PMCPMC5454338

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.