Evidence map›Paper›PMID 38145287›Full record

ArticlePhysiological genomics2024

Dynamic dysregulation of transcriptomic networks in brainstem autonomic nuclei during hypertension development in the female spontaneously hypertensive rat.

Alison Moss, Lakshmi Kuttippurathu, Ankita Srivastava, James S Schwaber, Rajanikanth Vadigepalli

Open access · hybridAbstract read
In one paragraph

Article in Physiological genomics, 2024. 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 29% 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, 4 citations in OpenAlex.

  1. Small-Conductance CaNeuroscience bulletin · 2026
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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

5 authors at 1 institution in 1 country.

Alison MossDaniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.
Lakshmi KuttippurathuDaniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.ORCID 0000-0001-6612-9040
Ankita SrivastavaDaniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.ORCID 0000-0002-1221-1353
James S SchwaberDaniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.ORCID 0000-0003-0598-7345
Rajanikanth VadigepalliDaniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.ORCID 0000-0002-8405-1037
Thomas Jefferson University · US

Funding

Multiscale Model of the Vagal Outflow to the HeartU01HL133360 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES, VADIGEPALLI, RAJANIKANTH · 2017 to 2021
$2.9M
Molecular Neurogenetics of the Brainstem Neuronal Source of Cardioprotective Vagal OutflowR01HL161696 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES, VADIGEPALLI, RAJANIKANTH · 2022 to 2025
$2.3M
Modeling network dynamics of cardiac right atrial ganglionic plexus to enable in silico testing of vagal neurostimulation strategiesOT2OD030534 · OD · THOMAS JEFFERSON UNIVERSITY · PI VADIGEPALLI, RAJANIKANTH · 2020 to 2021
$1.8M
NHLBI NIH HHS R01 HL161696NHLBI NIH HHS U01 HL133360NIH HHS OT2 OD030534ODCDC CDC HHS OT2 OD030534
6 · The paper itself

Abstract

Neurogenic hypertension stems from an imbalance in autonomic function that shifts the central cardiovascular control circuits toward a state of dysfunction. Using the female spontaneously hypertensive rat and the normotensive Wistar-Kyoto rat model, we compared the transcriptomic changes in three autonomic nuclei in the brainstem, nucleus of the solitary tract (NTS), caudal ventrolateral medulla, and rostral ventrolateral medulla (RVLM) in a time series at 8, 10, 12, 16, and 24 wk of age, spanning the prehypertensive stage through extended chronic hypertension. RNA-sequencing data were analyzed using an unbiased, dynamic pattern-based approach that uncovered dominant and several subtle differential gene regulatory signatures. Our results showed a persistent dysregulation across all three autonomic nuclei regardless of the stage of hypertension development as well as a cascade of transient dysregulation beginning in the RVLM at the prehypertensive stage that shifts toward the NTS at the hypertension onset. Genes that were persistently dysregulated were heavily enriched for immunological processes such as antigen processing and presentation, the adaptive immune response, and the complement system. Genes with transient dysregulation were also largely region-specific and were annotated for processes that influence neuronal excitability such as synaptic vesicle release, neurotransmitter transport, and an array of neuropeptides and ion channels. Our results demonstrate that neurogenic hypertension is characterized by brainstem region-specific transcriptomic changes that are highly dynamic with significant gene regulatory changes occurring at the hypertension onset as a key time window for dysregulation of homeostatic processes across the autonomic control circuits.

Indexed as

HypertensionAnimalsBlood PressureBrain StemFemaleGene Expression ProfilingHumansRatsRats, Inbred SHRRats, Inbred WKYSolitary Nucleusautonomic control circuitsbrainstemneurogenic hypertensionspontaneously hypertensive rattranscriptomics

Identifiers

PMID38145287
PMCPMC11283910
OpenAlexW4390196667

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.