Evidence map›Paper›PMID 39730629›Full record

ArticleScientific reports2024

Evaluation of metabolite stability in dried blood spot stored at different temperatures and times.

Hui-Na Cui, Fei Shi, Guihong Huang, Yun He, Shuqi Yu, Li Liu, Yan Li, He Wen

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

8 citing papers in PubMed.

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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

8 authors.

Hui-Na CuiMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China.
Fei ShiMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China.
Guihong HuangMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China.
Yun HeMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China.
Shuqi YuMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China.
Li LiuMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China.
Yan LiMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China. yan.li@metanotitia.com.
He WenMetanotitia Inc, Building C4, Science and Technology Innovation Headquarters, Shenzhen (Harbin) Industrial Park, 288 Zhigu Street, Songbei District, Harbin, 150029, China. he.wen@metanotitia.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dried blood spot (DBS) sampling offers significant advantages over conventional blood collection methods, such as reduced sample volume, minimal invasiveness, suitability for home-based sampling, and ease of transport. However, understanding the effects of variable storage temperatures and times on metabolite stability is crucial due to varying intervals and delivery conditions between sample collection and metabolomics analysis. To minimize biological variances, all samples were collected from the same individual simultaneously and stored at three different temperatures (4 °C, 25 °C, and 40 °C) for diverse time points (3, 7, 14, and 21 days). Metabolic profiling was conducted an untargeted gas chromatography-mass spectrometry (GC-MS) and ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS)-based multi-platform metabolomics. Principal component analysis (PCA) showed alterations in metabolite stability at different temperatures, with phosphatidylcholines (PCs) and triglycerides (TAGs) as the first principal component (PC1). Specifically, we identified 69 metabolites that remained stable across all three temperatures over the 21-day period, while 78 metabolites exhibited instability. Furthermore, linear correlations between metabolite intensity and storage time were observed. Overall, our study elucidated the influence of storage temperature and time on specific metabolite stability in DBS samples, providing valuable insights for study design, biomarker selection, and data improvement.

Indexed as

Dried Blood Spot TestingMetabolomicsTemperatureChromatography, High Pressure LiquidGas Chromatography-Mass SpectrometryHumansMetabolomePrincipal Component AnalysisSpecimen HandlingTime FactorsTriglyceridesTriglyceridesDBSMetabolite stabilityMetabolomicsStorage temperature and time

Identifiers

PMID39730629
PMCPMC11680943

What Socratic holds

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LicenceCC BY-NC-ND
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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.