Evidence map›Paper›PMID 39457715›Full record

ArticleBiomedicines2024

Absolute Quantitative Targeted Monitoring of Potential Plasma Protein Biomarkers: A Pilot Study on Healthy Individuals.

Alexey S Kononikhin, Natalia L Starodubtseva, Alexander G Brzhozovskiy, Alisa O Tokareva, Daria N Kashirina, Natalia V Zakharova, Anna E Bugrova, Maria I Indeykina, Liudmila Kh Pastushkova, Irina M Larina and 3 more

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

13 authors.

Alexey S KononikhinProject Center of Advanced Mass Spectrometry Technologies, 121205 Moscow, Russia.ORCID 0000-0002-2238-3458
Natalia L StarodubtsevaV.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia, 117997 Moscow, Russia.ORCID 0000-0001-6650-5915
Alexander G BrzhozovskiyProject Center of Advanced Mass Spectrometry Technologies, 121205 Moscow, Russia.
Alisa O TokarevaV.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia, 117997 Moscow, Russia.ORCID 0000-0001-5918-9045
Daria N KashirinaInstitute of Biomedical Problems, Russian Federation State Scientific Research Center, Russian Academy of Sciences, 123007 Moscow, Russia.ORCID 0000-0002-9646-7275
Natalia V ZakharovaEmanuel Institute of Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia.
Anna E BugrovaV.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia, 117997 Moscow, Russia.ORCID 0000-0003-1515-9447
Maria I IndeykinaEmanuel Institute of Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia.ORCID 0000-0002-8177-7449
Liudmila Kh PastushkovaInstitute of Biomedical Problems, Russian Federation State Scientific Research Center, Russian Academy of Sciences, 123007 Moscow, Russia.
Irina M LarinaInstitute of Biomedical Problems, Russian Federation State Scientific Research Center, Russian Academy of Sciences, 123007 Moscow, Russia.
Vladimir A MitkevichEngelhardt Institute of Molecular Biology, Russian Academy of Science, 119991 Moscow, Russia.ORCID 0000-0002-1517-1983
Alexander A MakarovEngelhardt Institute of Molecular Biology, Russian Academy of Science, 119991 Moscow, Russia.
Evgeny N NikolaevProject Center of Advanced Mass Spectrometry Technologies, 121205 Moscow, Russia.

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2024-530
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe development of blood tests for the early detection of individual predisposition to socially significant diseases remains a pressing issue.

methodsIn this pilot study, multiple reaction monitoring mass spectrometry (MRM-MS) with a BAK-270 assay was applied for protein concentrations analysis in blood plasma from 21 healthy volunteers of the European cohort.

resultsThe levels of 138 plasma proteins were reliably and precisely quantified in no less than 50% of samples. The quantified proteins included 66 FDA-approved markers of cardiovascular diseases (CVD), and other potential biomarkers of pathologies such as cancer, diabetes mellitus, and Alzheimer's disease. The analysis of individual variations of the plasma proteins revealed significant differences between the male (11) and female (10) groups. In total, fifteen proteins had a significantly different concentration in plasma; this included four proteins that exhibited changes greater than ±1.5-fold, three proteins (RBP4, APCS, and TTR) with higher levels in males, and one (SHBG) elevated in females. The obtained results demonstrated considerable agreement with the data collected from 20 samples of a North American cohort, which were analyzed with the similar MRM assay. The most significant differences between the cohorts of the two continents were observed in the level of 42 plasma proteins (including 24 FDA markers), of which 17 proteins showed a ≥1.5-fold change, and included proteins increased in North Americans (APOB, CRTAC1, C1QB, C1QC, C9, CRP, HP, IGHG1, IGKV4-1, SERPING1, RBP4, and AZGP1), as well as those elevated in Europeans (APOF, CD5L, HBG2, SELPLG, and TNA).

conclusionsThe results suggest a different contribution of specific (patho)physiological pathways (e.g., immune system and blood coagulation) to the development of socially significant diseases in Europeans and North Americans, and they should be taken into account when refining diagnostic panels.

Indexed as

biomarkersbloodhealthy volunteersmass spectrometryMRMplasmaproteomics

Identifiers

PMID39457715
PMCPMC11504031

What Socratic 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 Socratic graph.