Evidence map›Paper›PMID 32733621›Full record

ArticleDisease markers2020

Targeted Metabolomics for Plasma Amino Acids and Carnitines in Patients with Metabolic Syndrome Using HPLC-MS/MS.

Li-Li Gong, Song Yang, Wen Zhang, Fei-Fei Han, Ling-Ling Xuan, Ya-Li Lv, He Liu, Li-Hong Liu

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Acylcarnitines in Ophthalmology: Promising Emerging Biomarkers.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. 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

8 authors at 1 institution in 1 country.

Li-Li GongBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-0061-2029
Song YangBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Wen ZhangBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Fei-Fei HanBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ling-Ling XuanBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ya-Li LvBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.
He LiuBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Li-Hong LiuBeijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-4817-3173
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is a health disorder characterized by metabolic abnormalities that predict an increased risk to develop cardiovascular disease (CVD) and type 2 diabetes. Biomarkers can provide an insight into the novel mechanism for MetS and can be potentially used for personalized response to therapies. We exploited a targeted HPLC-MS/MS method to characterize plasma amino acids and carnitine metabolic profile in MetS patients. A training set (40 cases and 40 controls) and validation set (80 MetS patients and 80 healthy controls) were carried out to find the metabolic profiles. We discovered two carnitine metabolites including hydroxydecanoyl carnitine and methylglutarylcarnitine. Our results indicated that the decreased level of hydroxydecanoyl carnitine and methylglutarylcarnitine may be associated with the risk of MetS. These biomarkers may improve the risk prediction and provide a novel tool for monitoring of the progression of disease and response to treatment in MetS patients.

Indexed as

Amino AcidsBiomarkersCarnitineCase-Control StudiesChromatography, High Pressure LiquidFemaleHumansMaleMetabolic SyndromeMetabolomicsTandem Mass SpectrometryAmino AcidsBiomarkersCarnitine

Identifiers

PMID32733621
PMCPMC7383313
OpenAlexW3042337600

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.