Evidence map›Paper›PMID 33507324›Full record

ReviewCellular and molecular life sciences : CMLS2021

What can urinary exosomes tell us?

Rui Vitorino, Rita Ferreira, Sofia Guedes, Francisco Amado, Visith Thongboonkerd

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Role of Liquid Biopsies in Rheumatoid Arthritis.Methods in molecular biology (Clifton, N.J.) · 2023
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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

5 authors.

Rui VitorinoDepartamento de Cirurgia e Fisiologia, UnIC, Faculdade de Medicina da Universidade do Porto, Porto, Portugal. rvitorino@ua.pt.ORCID http://orcid.org/0000-0003-3636-5805
Rita FerreiraDepartment of Chemistry, LAQV-REQUIMTE, Aveiro, Portugal.
Sofia GuedesDepartment of Chemistry, LAQV-REQUIMTE, Aveiro, Portugal.
Francisco AmadoDepartment of Chemistry, LAQV-REQUIMTE, Aveiro, Portugal.
Visith ThongboonkerdMedical Proteomics Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, 6th Floor, SiMR Building, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand. thongboonkerd@dr.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are involved in a wide variety of biochemical processes in human body homeostasis. Exosomes also provide important information regarding communications among several organ systems. Additionally, they can serve as molecular vehicles to deliver drugs. Therefore, exosomes have received wide attention in current biomedical research for unraveling pathogenic mechanisms of diseases, searching for novel biomarkers, and discovering new drugs. This paper reviews and discusses the significance of urinary exosomes for a better understanding of human disease pathophysiology and their potential use as therapeutic targets. Isolation methods of exosomes and the latest technological advances are also discussed. Furthermore, novel urinary exosomal biomarkers are highlighted with special emphasis on their clinical applicability (particularly sensitivity, specificity, reliability, and other aspects). Finally, future trends for this field are analyzed and our perspectives are provided.

Indexed as

AnimalsBiomarkersDiabetic NephropathiesExosomesHeart DiseasesHumansKidney DiseasesLupus NephritisNeoplasmsBiomarkersBiomarkerDrug targetsExosomesUrine

Identifiers

PMID33507324
PMCPMC11072730

What OpenQuestion holds

Textmetadata
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.