Evidence map›Paper›PMID 39404429›Full record

ArticleCells2024

Employing Multi-Omics Analyses to Understand Changes during Kidney Development in Perinatal Interleukin-6 Animal Model.

Ganesh Panzade, Tarak Srivastava, Daniel P Heruth, Mohammad H Rezaiekhaligh, Jianping Zhou, Zhen Lyu, Mukut Sharma, Trupti Joshi

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Ganesh PanzadeChristopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0002-3940-6724
Tarak SrivastavaSection of Nephrology, Children's Mercy Hospital and University of Missouri at Kansas City, 2401 Gillham Road, Kansas City, MO 64108, USA.ORCID 0000-0002-8654-0627
Daniel P HeruthChildren's Mercy Research Institute, Children's Mercy Hospital and University of Missouri at Kansas City, Kansas City, MO 64108, USA.ORCID 0000-0003-3170-2585
Mohammad H RezaiekhalighSection of Nephrology, Children's Mercy Hospital and University of Missouri at Kansas City, 2401 Gillham Road, Kansas City, MO 64108, USA.
Jianping ZhouMidwest Veterans' Biomedical Research Foundation (MVBRF), Kansas City, MO 64128, USA.
Zhen LyuDepartment of Electrical Engineering and Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA.
Mukut SharmaMidwest Veterans' Biomedical Research Foundation (MVBRF), Kansas City, MO 64128, USA.
Trupti JoshiChristopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0001-8944-4924

Funding

Missouri Department of Health and Senior Services (MDHSS) #AOC23380006
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a leading cause of morbidity and mortality globally. Maternal obesity during pregnancy is linked to systemic inflammation and elevated levels of the pro-inflammatory cytokine interleukin-6 (IL-6). In our previous work, we demonstrated that increased maternal IL-6 during gestation impacts intrauterine development in mice. We hypothesized that IL-6-induced inflammation alters gene expression in the developing fetus. To test this, pregnant mice were administered IL-6 or saline during mid-gestation. Newborn mouse kidneys were analyzed using mRNA-seq, miRNA-seq and whole-genome bisulfite-seq (WGBS). A multi-omics approach was employed to quantify mRNA gene expression, miRNA expression and DNA methylation, using advanced bioinformatics and data integration techniques. Our analysis identified 19 key genes present in multiple omics datasets, regulated by epigenetics and miRNAs. We constructed a regulatory network for these genes, revealing disruptions in pathways such as Mannose type O-glycan biosynthesis, the cell cycle, apoptosis and FoxO signaling. Notably, the Atp7b gene was regulated by DNA methylation and miR-223 targeting, whereas the Man2a1 gene was controlled by DNA methylation affecting energy metabolism. These findings suggest that these genes may play a role in fetal programming, potentially leading to CKD later in life due to gestational inflammation.

Indexed as

DNA MethylationInterleukin-6KidneyAnimalsAnimals, NewbornDisease Models, AnimalFemaleGene Regulatory NetworksMiceMice, Inbred C57BLMicroRNAsMultiomicsPregnancyRNA, MessengerInterleukin-6MicroRNAsRNA, Messengerchronic kidney disease (CKD)co-expressionepigeneticsinterleukin-6 (IL-6)miRNA regulationmulti-omics

Identifiers

PMID39404429
PMCPMC11476440

What OpenQuestion holds

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Registered trials

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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.