Evidence map›Paper›PMID 33831057›Full record

ArticlePloS one2021

Specimen-specific drift of densities defines distinct subclasses of extracellular vesicles from human whole saliva.

Satoshi Yamamoto, Kohji Okamura, Risa Fujii, Takamasa Kawano, Koji Ueda, Yasutomo Yajima, Kiyotaka Shiba

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 3 institutions in 1 country.

Satoshi YamamotoDivision of Protein Engineering, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Kohji OkamuraDepartment of Systems BioMedicine, National Center for Child Health and Development, Tokyo, Japan.
Risa FujiiCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Takamasa KawanoDivision of Protein Engineering, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Koji UedaCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Yasutomo YajimaDepartment of Oral and Maxillofacial Implantology, Tokyo Dental College, Tokyo, Japan.
Kiyotaka ShibaDivision of Protein Engineering, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.ORCID 0000-0001-6459-0204
Japanese Foundation For Cancer Research · JPTokyo Dental College · JPNational Center For Child Health and Development · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) in body fluids constitute heterogenous populations, which mirror their diverse parental cells as well as distinct EV-generation pathways. Various methodologies have been proposed to differentiate EVs in order to deepen the current understanding of EV biology. Equilibrium density-gradient centrifugation has often been used to separate EVs based on their buoyant densities; however, the standard conditions used for the method do not necessarily allow all EVs to move to their equilibrium density positions, which complicates the categorization of EVs. Here, by prolonging ultracentrifugation time to 96 h and fractionating EVs both by floating up or spinning down directions, we allowed 111 EV-associated protein markers from the whole saliva of three healthy volunteers to attain equilibrium. Interestingly, the determined buoyant densities of the markers drifted in a specimen-specific manner, and drift patterns differentiated EVs into at least two subclasses. One class carried classical exosomal markers, such as CD63 and CD81, and the other was characterized by the molecules involved in membrane remodeling or vesicle trafficking. Distinct patterns of density drift may represent the differences in generation pathways of EVs.

Indexed as

AdultBiomarkersCentrifugation, Density GradientExtracellular VesiclesHumansSalivaBiomarkers

Identifiers

PMID33831057
PMCPMC8032098
OpenAlexW3147764798

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.