Evidence map›Paper›PMID 38389064›Full record

ReviewClinical proteomics2024

Recent progress in mass spectrometry-based urinary proteomics.

Neha Joshi, Kishore Garapati, Vivek Ghose, Richard K Kandasamy, Akhilesh Pandey

Abstract readReview
In one paragraph

Review in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Characterization ofMicroorganisms · 2026
    Article
  6. Review
  7. Article
  8. Tear fluid database: a reference website for tear fluid proteomics.Database : the journal of biological databases and curation · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Dried Spot Paradigm: Problems and Prospects in Proteomics.International journal of molecular sciences · 2025
    Review
  17. Review
  18. Hyperosmolality activates polycystin-2 and TRPM4 in renal primary cilium.Pflugers Archiv : European journal of physiology · 2025
    Article
  19. Review
  20. Article
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

5 authors.

Neha JoshiManipal Academy of Higher Education (MAHE), Manipal, 576104, India.
Kishore GarapatiManipal Academy of Higher Education (MAHE), Manipal, 576104, India.
Vivek GhoseManipal Academy of Higher Education (MAHE), Manipal, 576104, India.
Richard K KandasamyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Akhilesh PandeyInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India. pandey.akhilesh@mayo.edu.

Funding

Mayo Clinic Center for Clinical ProteomicsU01CA271410 · NCI · MAYO CLINIC ROCHESTER · PI Rafael Fonseca, AKHILESH PANDEY · 2022 to 2026
$5.3M
NCI NIH HHS U01 CA271410NCI NIH HHS U01CA271410
6 · The paper itself

Abstract

Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.

Identifiers

PMID38389064
PMCPMC10885485

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Registered trials

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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.