Evidence map›Paper›PMID 38203541›Full record

ArticleInternational journal of molecular sciences2023

Exploring Optimal Biomarker Sources: A Comparative Analysis of Exosomes and Whole Plasma in Fasting and Non-Fasting Conditions for Liquid Biopsy Applications.

Masaki Nasu, Vedbar S Khadka, Mayumi Jijiwa, Ken Kobayashi, Youping Deng

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. 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 at 1 institution in 1 country.

Masaki NasuDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Honolulu, HI 96813, USA.
Vedbar S KhadkaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Honolulu, HI 96813, USA.ORCID 0000-0002-8652-2904
Mayumi JijiwaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Honolulu, HI 96813, USA.ORCID 0000-0003-1596-856X
Ken KobayashiDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Honolulu, HI 96813, USA.
Youping DengDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Honolulu, HI 96813, USA.
University of Hawaiʻi at Mānoa · US

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Benjamin C. Fogelgren · 2017 to 2026
$59.5M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SHIKUMA, CECILIA M. · 2021 to 2025
$15.5M
Selenium Metabolism in the Heart: Impact of High Fructose and Low SeleniumP20GM139753 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Marla J Berry · 2022 to 2026
$13.3M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Alexandra Margaret Lynn Binder, Youping Deng · 2023 to 2026
$10.8M
Small Grants ProgramP30GM114737 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI NERURKAR, VIVEK RAMCHANDRA · 2015 to 2022
$8.1M
Profiling genome-wide circulating ncRNAs for the early detection of lung cancerR01CA223490 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI DENG, YOUPING · 2018 to 2022
$3.1M
Circulating lipid and miRNA markers for early detection of breast cancer among women with abnormal mammogramsR01CA230514 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI DENG, YOUPING · 2019 to 2023
$2.8M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA223490NCI NIH HHS R01 CA230514NHGRI NIH HHS U54 HG013243NIGMS NIH HHS P20 GM103466NIGMS NIH HHS P20 GM139753NIGMS NIH HHS P30 GM114737NIGMS NIH HHS U54 GM138062NIMHD NIH HHS U54 MD007601
6 · The paper itself

Abstract

The study of liquid biopsy with plasma samples is being conducted to identify biomarkers for clinical use. Exosomes, containing nucleic acids and metabolites, have emerged as possible sources for biomarkers. To evaluate the effectiveness of exosomes over plasma, we analyzed the small non-coding RNAs (sncRNAs) and metabolites extracted from exosomes in comparison to those directly extracted from whole plasma under both fasting and non-fasting conditions. We found that sncRNA profiles were not affected by fasting in either exosome or plasma samples. Our results showed that exosomal sncRNAs were found to have more consistent profiles. The plasma miRNA profiles contained high concentrations of cell-derived miRNAs that were likely due to hemolysis. We determined that certain metabolites in whole plasma exhibited noteworthy concentration shifts in relation to fasting status, while others did not. Here, we propose that (1) fasting is not required for a liquid biopsy study that involves both sncRNA and metabolomic profiling, as long as metabolites that are not influenced by fasting status are selected, and (2) the utilization of exosomal RNAs promotes robust and consistent findings in plasma samples, mitigating the impact of batch effects derived from hemolysis. These findings advance the optimization of liquid biopsy methodologies for clinical applications.

Indexed as

ExosomesMicroRNAsRNA, Small UntranslatedBiomarkersFastingHemolysisHumansLiquid BiopsyBiomarkersMicroRNAsRNA, Small Untranslatedexosomesfastingliquid biopsymetabolitessncRNA

Identifiers

PMID38203541
PMCPMC10779159
OpenAlexW4390272388

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.