Evidence map›Paper›PMID 27882306›Full record

ArticleProteomes2016

Personalized Proteomics: The Future of Precision Medicine.

Trevor T Duarte, Charles T Spencer

Abstract read
In one paragraph

Article in Proteomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–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

72 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Gender Differences and Comorbidities in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Utility of Protein Markers in COVID-19 Patients.International journal of molecular sciences · 2025
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.International journal of molecular sciences · 2024
    Review
  18. Review
  19. Article
  20. Article

12 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

2 authors.

Trevor T DuarteDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA.
Charles T SpencerDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA.

Funding

TCCG12MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI KIRKEN, ROBERT A. · 2012 to 2018
$19.4M
Phase II of BUILDing SCHOLARSUL1GM118970 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI ALEY, STEPHEN B, BOLAND, THOMAS · 2015 to 2023
$17.9M
Phase II of BUILDing SCHOLARS - Student Training CoreTL4GM118971 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI ALEY, STEPHEN B, BOLAND, THOMAS · 2015 to 2023
$9.9M
Phase II of BUILDing SCHOLARS - Research Enrichment CoreRL5GM118969 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI ALEY, STEPHEN B, BOLAND, THOMAS · 2015 to 2023
$7.4M
NIGMS NIH HHS RL5 GM118969NIGMS NIH HHS TL4 GM118971NIGMS NIH HHS UL1 GM118970NIMHD NIH HHS G12 MD007592
6 · The paper itself

Abstract

Medical diagnostics and treatment has advanced from a one size fits all science to treatment of the patient as a unique individual. Currently, this is limited solely to genetic analysis. However, epigenetic, transcriptional, proteomic, posttranslational modifications, metabolic, and environmental factors influence a patient's response to disease and treatment. As more analytical and diagnostic techniques are incorporated into medical practice, the personalized medicine initiative transitions to precision medicine giving a holistic view of the patient's condition. The high accuracy and sensitivity of mass spectrometric analysis of proteomes is well suited for the incorporation of proteomics into precision medicine. This review begins with an overview of the advance to precision medicine and the current state of the art in technology and instrumentation for mass spectrometry analysis. Thereafter, it focuses on the benefits and potential uses for personalized proteomic analysis in the diagnostic and treatment of individual patients. In conclusion, it calls for a synthesis between basic science and clinical researchers with practicing clinicians to design proteomic studies to generate meaningful and applicable translational medicine. As clinical proteomics is just beginning to come out of its infancy, this overview is provided for the new initiate.

Indexed as

biomarkerclinical proteomicsdiagnosticmass spectrometrypersonalized medicinepharmacokineticsprecision medicineproteomicstherapeutic monitoring

Identifiers

PMID27882306
PMCPMC5117667

What OpenQuestion holds

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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.