Evidence map›Paper›PMID 30087156›Full record

ArticleThe Journal of pharmacology and experimental therapeutics2018

Modeling Corticosteroid Pharmacogenomics and Proteomics in Rat Liver.

Vivaswath S Ayyar, Siddharth Sukumaran, Debra C DuBois, Richard R Almon, William J Jusko

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of pharmacology and experimental therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Vivaswath S AyyarDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences (V.S.A., S.S., D.C.D., R.R.A., W.J.J.) and Department of Biological Sciences (D.C.D., R.R.A.), State University of New York at Buffalo, Buffalo, New York.
Siddharth SukumaranDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences (V.S.A., S.S., D.C.D., R.R.A., W.J.J.) and Department of Biological Sciences (D.C.D., R.R.A.), State University of New York at Buffalo, Buffalo, New York.
Debra C DuBoisDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences (V.S.A., S.S., D.C.D., R.R.A., W.J.J.) and Department of Biological Sciences (D.C.D., R.R.A.), State University of New York at Buffalo, Buffalo, New York.
Richard R AlmonDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences (V.S.A., S.S., D.C.D., R.R.A., W.J.J.) and Department of Biological Sciences (D.C.D., R.R.A.), State University of New York at Buffalo, Buffalo, New York.
William J JuskoDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences (V.S.A., S.S., D.C.D., R.R.A., W.J.J.) and Department of Biological Sciences (D.C.D., R.R.A.), State University of New York at Buffalo, Buffalo, New York wjjusko@buffalo.edu.ORCID 0000-0003-4027-0550
University at Buffalo, State University of New York · US

Funding

Corticosteroid Pharmacokinetics and PharmacodynamicsR37GM024211 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 2005 to 2014
$6.4M
CORTICOSTEROID PHARMACOKINETICS/DYNAMICSR01GM024211 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 1985 to 2018
$4.7M
NIGMS NIH HHS R01 GM024211NIGMS NIH HHS R37 GM024211
6 · The paper itself

Abstract

Corticosteroids (CS) regulate the expression of numerous genes at the mRNA and protein levels. The time course of CS pharmacogenomics and proteomics were examined in livers obtained from adrenalectomized rats given a 50-mg/kg bolus dose of methylprednisolone. Microarrays and mass spectrometry-based proteomics were employed to quantify hepatic transcript and protein dynamics. One-hundred, sixty-three differentially expressed mRNA and their corresponding proteins (163 genes) were clustered into two dominant groups. The temporal profiles of most proteins were delayed compared with their mRNA, attributable to synthesis delays and slower degradation kinetics. On the basis of our fifth-generation model of CS, mathematical models were developed to simultaneously describe the emergent time patterns for an array of steroid-responsive mRNA and proteins. The majority of genes showed time-dependent increases in mRNA and protein expression before returning to baseline. A model assuming direct, steroid-mediated stimulation of mRNA synthesis was applied. Some mRNAs and their proteins displayed down-regulation following CS. A model assuming receptor-mediated inhibition of mRNA synthesis was used. More complex patterns were observed for other genes (e.g., biphasic behaviors and opposite directionality in mRNA and protein). Models assuming either stimulation or inhibition of mRNA synthesis coupled with dual secondarily induced regulatory mechanisms affecting mRNA or protein turnover were derived. These findings indicate that CS-regulated gene expression manifested at the mRNA and protein levels are controlled via mechanisms affecting key turnover processes. Our quantitative models of CS pharmacogenomics were expanded from mRNA to proteins and provide extended hypotheses for understanding the direct, secondary, and downstream mechanisms of CS actions.

Indexed as

Adrenal Cortex HormonesAnimalsDown-RegulationGene Expression RegulationKineticsLiverMaleMethylprednisoloneModels, BiologicalPharmacogeneticsProteomeProteomicsRatsRats, WistarRNA, MessengerAdrenal Cortex HormonesMethylprednisoloneProteomeRNA, Messenger

Identifiers

PMID30087156
PMCPMC6146373
OpenAlexW2887070229

What OpenQuestion holds

Textmetadata
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.