Evidence map›Paper›PMID 38491253›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Plasma and serum metabolic analysis of healthy adults shows characteristic profiles by subjects' sex and age.

Rui Xu, Shiqi Zhang, Jieli Li, Jiangjiang Zhu

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. 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
1.6field-weighted citation impact, top 17% 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. Review
  3. ExploringBiomolecules & therapeutics · 2026
    Article
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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

4 authors at 1 institution in 1 country.

Rui XuHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Shiqi ZhangHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Jieli LiDepartment of Pathology, The Ohio State University, Columbus, OH, 43210, USA. jieli.li@osumc.edu.
Jiangjiang ZhuHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH, 43210, USA. zhu.2484@osu.edu.
The Ohio State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Characterizing the Metabolome and Volatilome of Gut MicrobiomeR35GM133510 · NIGMS · OHIO STATE UNIVERSITY · PI ZHU, JIANGJIANG · 2019 to 2023
$2.2M
NCI NIH HHS P30 CA016058NIGMS NIH HHS R35 GM133510
6 · The paper itself

Abstract

introductionPre-analytical factors like sex, age, and blood processing methods introduce variability and bias, compromising data integrity, and thus deserve close attention.

objectivesThis study aimed to explore the influence of participant characteristics (age and sex) and blood processing methods on the metabolic profile.

methodA Thermo UPLC-TSQ-Quantiva-QQQ Mass Spectrometer was used to analyze 175 metabolites across 9 classes in 208 paired serum and lithium heparin plasma samples from 51 females and 53 males.

resultsComparing paired serum and plasma samples from the same cohort, out of the 13 metabolites that showed significant changes, 4 compounds related to amino acids and derivatives had lower levels in plasma, and 5 other compounds had higher levels in plasma. Sex-based analysis revealed 12 significantly different metabolites, among which most amino acids and derivatives and nitrogen-containing compounds were higher in males, and other compounds were elevated in females. Interestingly, the volcano plot also confirms the similar patterns of amino acids and derivatives higher in males. The age-based analysis suggested that metabolites may undergo substantial alterations during the 25-35-year age range, indicating a potential metabolic turning point associated with the age group. Moreover, a more distinct difference between the 25-35 and above 35 age groups compared to the below 25 and 25-35 age groups was observed, with the most significant compound decreased in the above 35 age groups.

conclusionThese findings may contribute to the development of comprehensive metabolomics analyses with confounding factor-based adjustment and enhance the reliability and interpretability of future large-scale investigations.

Indexed as

MetabolomicsPlasmaAdultAmino AcidsFemaleHumansMaleReproducibility of ResultsSerumAmino AcidsAgeBlood processing methodsMetabolomicsPre-analytical factorsSex

Identifiers

PMID38491253
PMCPMC10943143
OpenAlexW4394767507

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.