Evidence mapPaperPMID 36079803Full record

ArticleNutrients2022

Association of Gut Microbiota with Atherogenic Dyslipidemia, and Its Impact on Serum Lipid Levels after Bariatric Surgery.

Priscilla López-Montoya, Daniel Cerqueda-García, Marcela Rodríguez-Flores, Blanca López-Contreras, Hugo Villamil-Ramírez, Sofía Morán-Ramos, Selene Molina-Cruz, Berenice Rivera-Paredez, Bárbara Antuna-Puente, Rafael Velázquez-Cruz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.2field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 66 citations in OpenAlex.

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  11. Synbiotic Administration of d-Tagatose andFood science & nutrition · 2025
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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

12 authors at 3 institutions in 2 countries.

Priscilla López-MontoyaUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.ORCID 0000-0002-8066-2359
Daniel Cerqueda-GarcíaUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.ORCID 0000-0003-1544-5662
Marcela Rodríguez-FloresUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico.ORCID 0000-0002-6607-4067
Blanca López-ContrerasUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.ORCID 0000-0003-2089-0170
Hugo Villamil-RamírezUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.
Sofía Morán-RamosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.ORCID 0000-0003-0421-1166
Selene Molina-CruzUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.ORCID 0000-0001-9226-6057
Berenice Rivera-ParedezCentro de Investigación en Políticas, Población y Salud (CIPPS), Facultad de Medicina-UNAM, Mexico City 04510, Mexico.
Bárbara Antuna-PuenteInfection Disease Division, Department of Medicine, Queen's University, Kingston, ON K7L3N6, Canada.
Rafael Velázquez-CruzLaboratorio de Genómica del Metabolismo Óseo, INMEGEN, Mexico City 14610, Mexico.ORCID 0000-0003-4515-0777
Teresa Villarreal-MolinaLaboratorio de Enfermedades Cardiovasculares, INMEGEN, Mexico City 14610, Mexico.ORCID 0000-0003-4450-7690
Samuel Canizales-QuinterosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico.
National Institute of Genomic Medicine · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXQueen's University · CA

Funding

Consejo Nacional de Ciencia y Tecnología FOSISS-289699
6 · The paper itself

Abstract

Gut microbiota has been suggested to modulate circulating lipids. However, the relationship between the gut microbiota and atherogenic dyslipidemia (AD), defined as the presence of both low HDL-C and hypertriglyceridemia, is not fully understood. Moreover, because obesity is among the main causes of secondary AD, it is important to analyze the effect of gut microbiota composition on lipid profiles after a weight loss intervention. We compared the microbial diversity and taxonomic composition in patients with AD (n = 41) and controls (n = 38) and sought correlations of genera abundance with serum lipid levels in 20 patients after weight loss induced by Roux-en-Y gastric bypass (RYGB) surgery. Gut microbiota composition was profiled using next-generation sequencing of 16S rRNA. Gut microbiota diversity was significantly lower in atherogenic dyslipidemia. Moreover, relative abundance of two genera with LDA score >3.5 (Megasphaera and LPS-producing Escherichia-Shigella), was significantly higher in AD subjects, while the abundance of four short chain fatty acids (SCFA) producing-genera (Christensenellaceae R-7, Ruminococcaceae UCG-014; Akkermansia and [Eubacterium] eligens group) was significantly higher in controls. Notably, [Eubacterium] eligens group abundance was also significantly associated with higher HDL-C levels in RYGB patients one year after surgery. Although dietary polyunsaturated fatty acid/saturated fatty acid (PUFA/SFA) ratio and PUFA intake were higher in controls than in AD subjects, of the four genera differentiated in cases and controls, only Akkermansia abundance showed a positive and significant correlation with PUFA/SFA ratio. Our results suggest that SCFA-producing bacteria promote a healthy lipid homeostasis, while the presence of LPS-producing bacteria such Escherichia-Shigella may contribute to the development of atherogenic dyslipidemia.

Indexed as

Bariatric SurgeryDyslipidemiasGastrointestinal MicrobiomeFatty Acids, VolatileHumansLipopolysaccharidesRNA, Ribosomal, 16SWeight LossFatty Acids, VolatileLipopolysaccharidesRNA, Ribosomal, 16S16S rRNAdyslipidemiagut microbiotaHDL-Ctriglycerides

Identifiers

PMID36079803
PMCPMC9460232
OpenAlexW4293769466

What Socratic 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 Socratic graph.