Evidence map›Paper›PMID 22809019›Full record

ArticleBMC genomics2012

Differential microRNA response to a high-cholesterol, high-fat diet in livers of low and high LDL-C baboons.

Genesio M Karere, Jeremy P Glenn, John L VandeBerg, Laura A Cox

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Cholesterol promotesLife science alliance · 2024
    Article
  5. Article
  6. Circulating miRNAs associated with bone mineral density in healthy adult baboons.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Role of MicroRNAs in NAFLD/NASH.Digestive diseases and sciences · 2016
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  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

4 authors at 2 institutions in 1 country.

Genesio M KarereDepartment of Genetics, Texas Biomedical Research Institute, 7620 NW Loop 410, San Antonio, TX 78227-5301, USA.
Jeremy P Glenn
John L VandeBerg
Laura A Cox
Texas Biomedical Research Institute · USThe University of Texas at San Antonio · US

Funding

WNV REPLIVAX VACCINE IN NON-HUMAN PRIMATESP51RR013986 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI GAUDUIN, MARIE-CLAIRE ELISABETH · 1999 to 2011
$79.1M
VETERINARY SERVICES--COREP01HL028972 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI RICE, KAREN S · 1985 to 2012
$42.0M
EXTRAMURAL RES FACILITIES CONSTRC06RR015456 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI VANDEBERG, JOHN L · 2001 to 2001
$1.1M
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NCRR NIH HHS C06 RR015456NCRR NIH HHS P51 RR013986NHLBI NIH HHS P01 HL028972-27NHLBI NIH HHS P01 HL028972-27 S1
6 · The paper itself

Abstract

backgroundDysregulation of microRNA (miRNA) expression has been implicated in molecular genetic events leading to the progression and development of atherosclerosis. We hypothesized that miRNA expression profiles differ between baboons with low and high serum low-density lipoprotein cholesterol (LDL-C) concentrations in response to diet, and that a subset of these miRNAs regulate genes relevant to dyslipidemia and risk of atherosclerosis.

resultsUsing Next Generation Illumina sequencing methods, we sequenced hepatic small RNA libraries from baboons differing in their LDL-C response to a high-cholesterol, high-fat (HCHF) challenge diet (low LDL-C, n = 3; high LDL-C, n = 3), resulting in 517 baboon miRNAs: 490 were identical to human miRNAs and 27 were novel. We compared miRNA expression profiles from liver biopsies collected before and after the challenge diet and observed that HCHF diet elicited expression of more miRNAs compared to baseline (chow) diet for both low and high LDL-C baboons. Eighteen miRNAs exhibited differential expression in response to HCHF diet in high LDL-C baboons compared to 10 miRNAs in low LDL-C baboons. We used TargetScan/Base tools to predict putative miRNA targets; miRNAs expressed in high LDL-C baboons had significantly more gene targets than miRNAs expressed in low LDL-C responders. Further, we identified miRNA isomers and other non-coding RNAs that were differentially expressed in response to the challenge diet in both high LDL-C and low LDL-C baboons.

conclusionsWe sequenced and annotated baboon liver miRNAs from low LDL-C and high LDL-C responders using high coverage Next Gen sequencing methods, determined expression changes in response to a HCHF diet challenge, and predicted target genes regulated by the differentially expressed miRNAs. The identified miRNAs will enrich the database for non-coding small RNAs including the extent of variation in these sequences. Further, we identified other small non-coding RNAs differentially expressed in response to diet. Our discovery of differentially expressed baboon miRNAs in response to a HCHF diet challenge that differ by LDL-C phenotype is a fundamental step in understating the role of non-coding RNAs in dyslipidemia.

Indexed as

Gene Expression RegulationAnimalsBiopsyCholesterol, DietaryCholesterol, HDLCholesterol, LDLDiet, High-FatGene Expression ProfilingHumansLiverMicroRNAsOligonucleotide Array Sequence AnalysisPapioSequence Analysis, DNACholesterol, DietaryCholesterol, HDLCholesterol, LDLMicroRNAs

Identifiers

PMID22809019
PMCPMC3536563
OpenAlexW2033683646

What OpenQuestion holds

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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.