Evidence map›Paper›PMID 24098417›Full record

ArticlePloS one2013

Gender-specific metabolomic profiling of obesity in leptin-deficient ob/ob mice by 1H NMR spectroscopy.

Eun-Young Won, Mi-Kyung Yoon, Sang-Woo Kim, Youngae Jung, Hyun-Whee Bae, Daeyoup Lee, Sung Goo Park, Chul-Ho Lee, Geum-Sook Hwang, Seung-Wook Chi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

41 citing papers in PubMed, 63 citations in OpenAlex.

  1. Characterising Sex-Specific Metabolite Differences in New Zealand Geoduck (Animals : an open access journal from MDPI · 2025
    Article
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  6. High fat diet reveals sex-specific fecal and liver metabolic alterations in C57BL/6J obese mice.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  7. Review
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  10. Article
  11. Article
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  14. Plasma leptin level mirrors metabolome alterations in young adults.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  15. Review
  16. Review
  17. Urolithiasis · 2020
    Article
  18. Article
  19. Review
  20. 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

10 authors at 4 institutions in 1 country.

Eun-Young WonMedical Proteomics Research Center, KRIBB, Daejeon, Republic of Korea ; Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Mi-Kyung Yoon
Sang-Woo Kim
Youngae Jung
Hyun-Whee Bae
Daeyoup Lee
Sung Goo Park
Chul-Ho Lee
Geum-Sook Hwang
Seung-Wook Chi
Korea Research Institute of Bioscience and Biotechnology · KRKorea Advanced Institute of Science and Technology · KRKorea Basic Science Institute · KRChungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the numerous metabolic studies on obesity, gender bias in obesity has rarely been investigated. Here, we report the metabolomic analysis of obesity by using leptin-deficient ob/ob mice based on the gender. Metabolomic analyses of urine and serum from ob/ob mice compared with those from C57BL/6J lean mice, based on the (1)H NMR spectroscopy in combination with multivariate statistical analysis, revealed clear metabolic differences between obese and lean mice. We also identified 48 urine and 22 serum metabolites that were statistically significantly altered in obese mice compared to lean controls. These metabolites are involved in amino acid metabolism (leucine, alanine, ariginine, lysine, and methionine), tricarbocylic acid cycle and glucose metabolism (pyruvate, citrate, glycolate, acetoacetate, and acetone), lipid metabolism (cholesterol and carnitine), creatine metabolism (creatine and creatinine), and gut-microbiome-derived metabolism (choline, TMAO, hippurate, p-cresol, isobutyrate, 2-hydroxyisobutyrate, methylamine, and trigonelline). Notably, our metabolomic studies showed distinct gender variations. The obese male mice metabolism was specifically associated with insulin signaling, whereas the obese female mice metabolism was associated with lipid metabolism. Taken together, our study identifies the biomarker signature for obesity in ob/ob mice and provides biochemical insights into the metabolic alteration in obesity based on gender.

Indexed as

MetabolomicsSex CharacteristicsAnimalsBiomarkersFemaleLeptinMagnetic Resonance SpectroscopyMaleMiceMice, ObeseMultivariate AnalysisObesityBiomarkersLeptin

Identifiers

PMID24098417
PMCPMC3789719
OpenAlexW2147163458

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.