Evidence map›Paper›PMID 28774304›Full record

ReviewRespiratory research2017

Using omics approaches to understand pulmonary diseases.

Mengyuan Kan, Maya Shumyatcher, Blanca E Himes

Abstract readReview
In one paragraph

Review in Respiratory research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

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

  1. Pooled it
  2. Article
  3. Sexually distinct multi-omic responses to progressive endurance exercise training in the rat lung.American journal of respiratory cell and molecular biology · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Multi-omics to study chronic respiratory diseases and viral infections.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  8. Article
  9. Review
  10. The influence ofMicrobiology (Reading, England) · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Epigenetic mechanisms mediate cytochrome P450 1A1 expression and lung endothelial injury caused by MRSA in vitro and in vivo.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  15. Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

9 more citing papers are in PubMed but not listed here.

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

3 authors.

Mengyuan KanDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 402 Blockley Hall 423 Guardian Drive, Philadelphia, PA, 19104, USA.
Maya ShumyatcherDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 402 Blockley Hall 423 Guardian Drive, Philadelphia, PA, 19104, USA.
Blanca E HimesDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 402 Blockley Hall 423 Guardian Drive, Philadelphia, PA, 19104, USA. bhimes@upenn.edu.

Funding

CEBPD-Mediated Mechanisms of Glucocorticoid Insensitivity in Severe AsthmaR01HL133433 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HIMES, BLANCA E · 2017 to 2021
$3.2M
INTEGRATIVE GENOMICS APPROACHES TO MODEL THE GENETIC ARCHITECTURE OF ASTHMAR00HL105663 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HIMES, BLANCA E · 2013 to 2015
$702k
NHLBI NIH HHS R00 HL105663NHLBI NIH HHS R01 HL133433
6 · The paper itself

Abstract

Omics approaches are high-throughput unbiased technologies that provide snapshots of various aspects of biological systems and include: 1) genomics, the measure of DNA variation; 2) transcriptomics, the measure of RNA expression; 3) epigenomics, the measure of DNA alterations not involving sequence variation that influence RNA expression; 4) proteomics, the measure of protein expression or its chemical modifications; and 5) metabolomics, the measure of metabolite levels. Our understanding of pulmonary diseases has increased as a result of applying these omics approaches to characterize patients, uncover mechanisms underlying drug responsiveness, and identify effects of environmental exposures and interventions. As more tissue- and cell-specific omics data is analyzed and integrated for diverse patients under various conditions, there will be increased identification of key mechanisms that underlie pulmonary biological processes, disease endotypes, and novel therapeutics that are efficacious in select individuals. We provide a synopsis of how omics approaches have advanced our understanding of asthma, chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome (ARDS), idiopathic pulmonary fibrosis (IPF), and pulmonary arterial hypertension (PAH), and we highlight ongoing work that will facilitate pulmonary disease precision medicine.

Indexed as

ComprehensionEpigenomicsGenomicsHumansLung DiseasesMetabolomicsProteomicsEpigenomicsGenomicsMetabolomicsProteomicsPulmonary diseasesTranscriptomics

Identifiers

PMID28774304
PMCPMC5543452

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.