Evidence map›Paper›PMID 39051237›Full record

ArticleProteomes2024

Investigating and Annotating the Human Peptidome Profile from Urine under Normal Physiological Conditions.

Amr Elguoshy, Keiko Yamamoto, Yoshitoshi Hirao, Tomohiro Uchimoto, Kengo Yanagita, Tadashi Yamamoto

Abstract read
In one paragraph

Article in Proteomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Amr ElguoshyBiofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.
Keiko YamamotoBiofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.
Yoshitoshi HiraoBiofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.
Tomohiro UchimotoBiofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.
Kengo YanagitaBiofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.
Tadashi YamamotoBiofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examining the composition of the typical urinary peptidome and identifying the enzymes responsible for its formation holds significant importance, as it mirrors the normal physiological state of the human body. Any deviation from this normal profile could serve as an indicator of pathological processes occurring in vivo. Consequently, this study focuses on characterizing the normal urinary peptidome and investigating the various catalytic enzymes that are involved in generating these native peptides in urine. Our findings reveal that 1503 endogenous peptides, corresponding to 436 precursor proteins, were consistently identified robustly in at least 10 samples out of a total of 19 samples. Notably, the liver and kidneys exhibited the highest number of tissue-enriched or enhanced genes in the analyzed urinary peptidome. Furthermore, among the catalytic types, CTSD (cathepsin D) and MMP2 (matrix metalloproteinase-2) emerged as the most prominent peptidases in the aspartic and metallopeptidases categories, respectively. A comparison of our dataset with two of the most comprehensive urine peptidome datasets to date indicates a consistent relative abundance of core endogenous peptides for different proteins across all three datasets. These findings can serve as a foundational reference for the discovery of biomarkers in various human diseases.

Indexed as

biomarker discoverypeptidasespeptidomicsurine

Identifiers

PMID39051237
PMCPMC11270373

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.