Evidence map›Paper›PMID 18456800›Full record

ReviewAmerican journal of physiology. Lung cellular and molecular physiology2008

Challenges in translating plasma proteomics from bench to bedside: update from the NHLBI Clinical Proteomics Programs.

Robert E Gerszten, Frank Accurso, Gordon R Bernard, Richard M Caprioli, Eric W Klee, George G Klee, Iftikhar Kullo, Theresa A Laguna, Frederick P Roth, Marc Sabatine and 3 more

Registry-linked trialAbstract readReview
In one paragraph

Review in American journal of physiology. Lung cellular and molecular physiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05338060 (A Systems Approach to Immunotherapy Biomarker Identification Within the Postoperative Wound-Healing Microenvironment in Patients With Gastroesophageal Cancer), which is not on this map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
6.6field-weighted citation impact, top 2% 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.

NCT05338060 completednot on this mapstarted 2022, after this paper: background citation

A Systems Approach to Immunotherapy Biomarker Identification Within the Postoperative Wound-Healing Microenvironment in Patients With Gastroesophageal Cancer

TypeobservationalSponsorInova Health Care ServicesRan2022 to 2025Enrolled10ConditionsGastroEsophageal CancerArmsprospective collection of surgical exudates (SEs)
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 90 citations in OpenAlex.

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  16. Aptamer-based applications for cardiovascular disease.Frontiers in bioengineering and biotechnology · 2022
    Review
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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

13 authors at 5 institutions in 1 country.

Robert E GersztenCardiology Division and Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.
Frank Accurso
Gordon R Bernard
Richard M Caprioli
Eric W Klee
George G Klee
Iftikhar Kullo
Theresa A Laguna
Frederick P Roth
Marc Sabatine
Pothur Srinivas
Thomas J Wang
Lorraine B Ware
Harvard University Press · USMayo Clinic in Arizona · USVanderbilt University · USUniversity of Colorado Denver · USNational Institutes of Health · US

Funding

Biomarker Profiles in the Diagnosis/Prognosis of ARDSU01HL081332 · NHLBI · VANDERBILT UNIVERSITY · PI WARE, LORRAINE B · 2005 to 2008
$6.0M
NHLBI NIH HHS U01 HL081332
6 · The paper itself

Abstract

The emerging scientific field of proteomics encompasses the identification, characterization, and quantification of the protein content or proteome of whole cells, tissues, or body fluids. The potential for proteomic technologies to identify and quantify novel proteins in the plasma that can function as biomarkers of the presence or severity of clinical disease states holds great promise for clinical use. However, there are many challenges in translating plasma proteomics from bench to bedside, and relatively few plasma biomarkers have successfully transitioned from proteomic discovery to routine clinical use. Key barriers to this translation include the need for "orthogonal" biomarkers (i.e., uncorrelated with existing markers), the complexity of the proteome in biological samples, the presence of high abundance proteins such as albumin in biological samples that hinder detection of low abundance proteins, false positive associations that occur with analysis of high dimensional datasets, and the limited understanding of the effects of growth, development, and age on the normal plasma proteome. Strategies to overcome these challenges are discussed.

Indexed as

Databases, FactualProteomicsAnimalsBiomarkersHumansPlasmaProteomeSensitivity and SpecificityBiomarkersProteome

Identifiers

PMID18456800
PMCPMC2494793
OpenAlexW2159009577

What OpenQuestion holds

Textmetadata
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.