Evidence map›Paper›PMID 40212598›Full record

ArticleSmall science2022

Investigation of Urinary Exosome Metabolic Patterns in Membranous Nephropathy by Titania-Assisted Intact Exosome Mass Spectrometry.

Haolin Chen, Ning Zhang, Yonglei Wu, Chenjie Yang, Qionghong Xie, Chunhui Deng, Nianrong Sun

Abstract read
In one paragraph

Article in Small science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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

7 authors.

Haolin ChenDepartment of Chemistry and Institutes of Biomedical Sciences Fudan University Shanghai 200433 P. R. China.
Ning ZhangDepartment of Chemistry and Institutes of Biomedical Sciences Fudan University Shanghai 200433 P. R. China.
Yonglei WuDepartment of Chemistry and Institutes of Biomedical Sciences Fudan University Shanghai 200433 P. R. China.
Chenjie YangDepartment of Chemistry and Institutes of Biomedical Sciences Fudan University Shanghai 200433 P. R. China.
Qionghong XieDivision of Nephrology Huashan Hospital Fudan University Shanghai 200040 P. R. China.
Chunhui DengDepartment of Chemistry and Institutes of Biomedical Sciences Fudan University Shanghai 200433 P. R. China.ORCID 0000-0002-8704-7543
Nianrong SunDepartment of Gastroenterology and Hepatology Zhongshan Hospital Fudan University Shanghai 200032 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are regarded as the emerging potential targets for liquid biopsy and bioprocess study owing to their abundant inclusive cargos that carry significant disease information. In addition, metabolites have been promising biomarkers for diagnosis. However, little metabolic research on exosomes is carried out by now. Herein, the mix-crystal titania-assisted laser desorption/ionization mass spectrometry (LDI-MS) method is established, which features fast speed, high throughput, and efficiency, to directly extract urinary exosome metabolic patterns of healthy controls (HC) and membrane nephropathy (MN) patients. Besides, this method is also adopted to acquire the primitive urinary metabolic patterns from the same samples for comparison. By taking advantage of principal component analysis, unpaired parametric

Indexed as

diagnosisexosomesmass spectrometrymembranous nephropathymetabolitestitania

Identifiers

PMID40212598
PMCPMC11935978

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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.