Evidence map›Paper›PMID 34940593›Full record

ArticleMetabolites2021

Lipidomic and Metabolomic Signature of Progression of Chronic Kidney Disease in Patients with Severe Obesity.

Borja Lanzon, Marina Martin-Taboada, Victor Castro-Alves, Rocio Vila-Bedmar, Ignacio González de Pablos, Daniel Duberg, Pilar Gomez, Elias Rodriguez, Matej Orešič, Tuulia Hyötyläinen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Lipid Biochemistry and its Role in Human Diseases.Current medicinal chemistry · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  16. Review
  17. Review
  18. Metabolic profiling identifies the significance of caffeine metabolism in CKD.Frontiers in bioengineering and biotechnology · 2023
    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

13 authors at 7 institutions in 3 countries.

Borja LanzonLIPOBETA Group, Department Basic Sciences of Health, Faculty of Sciences of Health, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain.ORCID 0000-0001-9907-4496
Marina Martin-TaboadaLIPOBETA Group, Department Basic Sciences of Health, Faculty of Sciences of Health, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain.ORCID 0000-0001-9057-4494
Victor Castro-AlvesSchool of Science and Technology, Örebro University, 702 81 Örebro, Sweden.ORCID 0000-0002-9535-6821
Rocio Vila-BedmarLIPOBETA Group, Department Basic Sciences of Health, Faculty of Sciences of Health, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain.ORCID 0000-0002-0973-5156
Ignacio González de PablosDepartment of Nephrology, University Hospital 12 de Octubre, 28041 Madrid, Spain.
Daniel DubergSchool of Science and Technology, Örebro University, 702 81 Örebro, Sweden.
Pilar GomezDepartment of Surgery, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.
Elias RodriguezDepartment of Surgery, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.
Matej OrešičSchool of Medical Sciences, Örebro University, 702 81 Örebro, Sweden.ORCID 0000-0002-2856-9165
Tuulia HyötyläinenSchool of Science and Technology, Örebro University, 702 81 Örebro, Sweden.ORCID 0000-0002-1389-8302
Enrique MoralesDepartment of Nephrology, University Hospital 12 de Octubre, 28041 Madrid, Spain.
Francisco J RuperezCentro de Metabolómica y Bioanálisis (CEMBIO), Universidad San Pablo-CEU, CEU Universities, 28668 Boadilla del Monte, Spain.ORCID 0000-0001-6457-6234
Gema Medina-GomezLIPOBETA Group, Department Basic Sciences of Health, Faculty of Sciences of Health, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain.ORCID 0000-0001-8169-681X
Universidad Rey Juan Carlos · ESÖrebro University · SEHospital Universitario 12 De Octubre · ESÅbo Akademi University · FIResearch Institute Hospital 12 de Octubre · ESUniversidad Complutense de Madrid · ESUniversidad San Pablo CEU · ES

Funding

Comunidad de Madrid B2017/BMD-3684European Association for the Study of Diabetes Albert Renold Travel Fellowship ProgramMinisterio de Ciencia e Innovación PID2020-116875RB-I00Ministerio de Ciencia, Innovación y Universidades MICINN RTI2018-095166-B-I00Ministry of Economy, Industry and Competitiveness BFU2016-78951-RMinistry of Economy, Industry and Competitiveness BFU2017-90578-REDT
6 · The paper itself

Abstract

Severe obesity is a major risk for chronic kidney disease (CKD). Early detection and careful monitoring of renal function are critical for the prevention of CKD during obesity, since biopsies are not performed in patients with CKD and diagnosis is dependent on the assessment of clinical parameters. To explore whether distinct lipid and metabolic signatures in obesity may signify early stages of pathogenesis toward CKD, liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-high resolution accurate mass-mass spectrometry (GC-HRAM-MS) analyses were performed in the serum and the urine of severely obese patients with and without CKD. Moreover, the impact of bariatric surgery (BS) in lipid and metabolic signature was also studied, through LC-MS and GC-HRAM-MS analyses in the serum and urine of patients with severe obesity and CKD before and after undergoing BS. Regarding patients with severe obesity and CKD compared to severely obese patients without CKD, serum lipidome analysis revealed significant differences in lipid signature. Furthermore, serum metabolomics profile revealed significant changes in specific amino acids, with isoleucine and tyrosine, increased in CKD patients compared with patients without CKD. LC-MS and GC-HRAM-MS analysis in serum of patients with severe obesity and CKD after BS showed downregulation of levels of triglycerides (TGs) and diglycerides (DGs) as well as a decrease in branched-chain amino acid (BCAA), lysine, threonine, proline, and serine. In addition, BS removed most of the correlations in CKD patients against biochemical parameters related to kidney dysfunction. Concerning urine analysis, hippuric acid, valine and glutamine were significantly decreased in urine from CKD patients after surgery. Interestingly, bariatric surgery did not restore all the lipid species, some of them decreased, hence drawing attention to them as potential targets for early diagnosis or therapeutic intervention. Results obtained in this study would justify the use of comprehensive mass spectrometry-based lipidomics to measure other lipids aside from conventional lipid profiles and to validate possible early markers of risk of CKD in patients with severe obesity.

Indexed as

bariatric surgeryCKDlipidomicsmetabolomicssevere obesity

Identifiers

PMID34940593
PMCPMC8707539
OpenAlexW4200414706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.