Evidence map›Paper›PMID 37266014›Full record

ArticleFrontiers in microbiology2023

Chronically hypertensive transgenic mice expressing human AT1R haplotype-I exhibit increased susceptibility to

Harshada Ketkar, Maha Alqahtani, Samantha Tang, Sreema Puthiya Parambath, Chandra Shekhar Bakshi, Sudhir Jain

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Harshada KetkarDepartment of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States.
Maha AlqahtaniDepartment of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States.
Samantha TangDepartment of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States.
Sreema Puthiya ParambathDepartment of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States.
Chandra Shekhar BakshiDepartment of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States.
Sudhir JainDepartment of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, United States.
New York Medical College · US

Funding

Hypertension and inflammation: novel insights from human angiotensin type 1 receptor variantsR01HL146628 · NHLBI · NEW YORK MEDICAL COLLEGE · PI JAIN, SUDHIR · 2019 to 2022
$1.6M
NHLBI NIH HHS R01 HL146628
6 · The paper itself

Abstract

Age-related illnesses, including hypertension and accompanying metabolic disorders, compromise immunity and exacerbate infection-associated fatalities. Renin-angiotensin system (RAS) is the key mechanism that controls blood pressure. Upregulation of RAS through angiotensin receptor type 1 (AT1R), a G-protein coupled receptor, contributes to the pathophysiological consequences leading to vascular remodeling, hypertension, and end-organ damage. Genetic variations that increase the expression of human AT1R may cause the above pathological outcomes associated with hypertension. Previously we have shown that our chronically hypertensive transgenic (TG) mice containing the haplotype-I variant (Hap-I, hypertensive genotype) of human

Indexed as

agingcytokine stormFrancisellahypertensioninflammationrespiratory tularemiasepsistransgenic

Identifiers

PMID37266014
PMCPMC10229887
OpenAlexW4377042070

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.