Evidence map›Paper›PMID 34572600›Full record

ArticleBiomolecules2021

Common Metabolites in Two Different Hypertensive Mouse Models: A Serum and Urine Metabolome Study.

Gaurav Baranwal, Rachel Pilla, Bethany L Goodlett, Aja K Coleman, Cristina M Arenaz, Arul Jayaraman, Joseph M Rutkowski, Robert C Alaniz, Brett M Mitchell

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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  6. Engineering live attenuated vaccines: Old dogs learning new tricks.Journal of translational autoimmunity · 2023
    Review
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

9 authors at 1 institution in 1 country.

Gaurav BaranwalDepartment of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Rachel PillaDepartment of Small Animal Clinical Science, College of Veterinary Medicine & Biomedical Science, Texas A&M University, College Station, TX 77843, USA.
Bethany L GoodlettDepartment of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Aja K ColemanDepartment of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Cristina M ArenazDepartment of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Arul JayaramanDepartment of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Joseph M RutkowskiDepartment of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Robert C AlanizDepartment of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.
Brett M MitchellDepartment of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX 77847, USA.ORCID 0000-0002-2575-8761
Texas A&M University · US

Funding

IMSD at Texas A&M University: Initiative for Maximizing Student Diversity in Biomedical SciencesT32GM135748 · NIGMS · TEXAS A&M UNIVERSITY · PI BRINKMEYER-LANGFORD, CANDICE L., CHIU, WEIHSUEH A · 2020 to 2024
$1.2M
NIGMS NIH HHS T32 GM135748
6 · The paper itself

Abstract

Recent metabolomics studies have identified a wide array of microbial metabolites and metabolite pathways that are significantly altered in hypertension. However, whether these metabolites play an active role in pathogenesis of hypertension or are altered because of this has yet to be determined. In the current study, we hypothesized that metabolite changes common between hypertension models may unify hypertension's pathophysiology with respect to metabolites. We utilized two common mouse models of experimental hypertension: L-arginine methyl ester hydrochloride (L-NAME)/high-salt-diet-induced hypertension (LSHTN) and angiotensin II induced hypertension (AHTN). To identify common metabolites that were altered across both models, we performed untargeted global metabolomics analysis in serum and urine and the resulting data were analyzed using MetaboAnalyst software and compared to control mice. A total of 41 serum metabolites were identified as being significantly altered in any hypertensive model compared to the controls. Of these compounds, 14 were commonly changed in both hypertensive groups, with 4 significantly increased and 10 significantly decreased. In the urine, six metabolites were significantly altered in any hypertensive group with respect to the control; however, none of them were common between the hypertensive groups. These findings demonstrate that a modest, but potentially important, number of serum metabolites are commonly altered between experimental hypertension models. Further studies of the newly identified metabolites from this untargeted metabolomics analysis may lead to a greater understanding of the association between gut dysbiosis and hypertension.

Indexed as

MetabolomeMetabolomicsAnimalsBlood PressureDisease Models, AnimalHypertensionMaleMiceMice, Inbred C57BLPrincipal Component Analysisangiotensin IIhypertensionmetabolomicsmicrobial metabolitessalt

Identifiers

PMID34572600
PMCPMC8467937
OpenAlexW3199909620

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.