Evidence map›Paper›PMID 39134978›Full record

ArticleBMC genomics2024

Transcriptomic Profile of Lin

Neha Mahajan, Qianyi Luo, Surabhi Abhyankar, Ashay D Bhatwadekar

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Neha MahajanDepartment of Ophthalmology, Indiana University School of Medicine, 1160 W Michigan St, Indianapolis, IN, 46202, USA.
Qianyi LuoDepartment of Ophthalmology, Indiana University School of Medicine, 1160 W Michigan St, Indianapolis, IN, 46202, USA.
Surabhi AbhyankarDepartment of Ophthalmology, Indiana University School of Medicine, 1160 W Michigan St, Indianapolis, IN, 46202, USA.
Ashay D BhatwadekarDepartment of Ophthalmology, Indiana University School of Medicine, 1160 W Michigan St, Indianapolis, IN, 46202, USA. abhatwad@iu.edu.

Funding

Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Tamara S Hannon · 2015 to 2026
$17.4M
Project-005U54DK106846 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Reuben Kapur, Karen Elizabeth Pollok · 2015 to 2026
$9.7M
miR-92a as a biomarker of diabetic retinopathyR01EY032080 · NEI · INDIANA UNIVERSITY INDIANAPOLIS · PI BHATWADEKAR, ASHAY D · 2021 to 2025
$2.6M
Retinal dysfunction in Alzheimer's disease mouse modelsR01EY027779 · NEI · INDIANA UNIVERSITY INDIANAPOLIS · PI BHATWADEKAR, ASHAY D · 2017 to 2021
$2.4M
NEI NIH HHS R01 EY027779NEI NIH HHS R01EY027779, R01EY027779-S1, R01EY032080NEI NIH HHS R01 EY032080NIDDK NIH HHS P30 DK097512NIDDK NIH HHS U54 DK106846
6 · The paper itself

Abstract

backgroundThe Lin

methodsIn this study, we assessed the transcriptomic signature of HSCs in db/db mice, a well-known and widely used model for T2D. LSK cells of db/db mice enriched using a cell sorter were subjected to paired-end mRNA and single-end miRNA seq library and sequenced on Illumina NovaSeq 6000. The mRNA sequence reads were mapped using STAR (Spliced Transcripts Alignment to a Reference), and the miRNA sequence reads were mapped to the designated reference genome using the Qiagen GeneGlobe RNA-seq Analysis Portal with default parameters for miRNA.

resultsWe uncovered 2076 out of 13,708 mRNAs and 35 out of 191 miRNAs that were expressed significantly in db/db animals; strikingly, previously unreported miRNAs (miR-3968 and miR-1971) were found to be downregulated in db/db mice. Furthermore, we observed a molecular shift in the transcriptome of HSCs of diabetes with an increase in pro-inflammatory cytokines (Il4, Tlr4, and Tnf11α) and a decrease in anti-inflammatory cytokine IL10. Pathway mapping demonstrated inflammation mediated by chemokine, cytokine, and angiogenesis as one of the top pathways with a significantly higher number of transcripts in db/db mice. These molecular changes were reflected in an overt defect in LSK mobility in the bone marrow. miRNA downstream target analysis unveils several mRNAs targeting leukocyte migration, microglia activation, phagosome formation, and macrophage activation signaling as their primary pathways, suggesting a shift to an inflammatory phenotype.

conclusionOur findings highlight that chronic diabetes adversely alters HSCs' homeostasis at the transcriptional level, thus potentially contributing to the inflammatory phenotype of HSCs under long-term diabetes. We also believe that identifying HSCs-based biomarkers in miRNAs or mRNAs could serve as diagnostic markers and potential therapeutic targets for diabetes and associated vascular complications.

Indexed as

Diabetes Mellitus, Type 2Hematopoietic Stem CellsMicroRNAsTranscriptomeAnimalsDiabetes Mellitus, ExperimentalGene Expression ProfilingMaleMiceProto-Oncogene Proteins c-kitRNA, MessengerMicroRNAsProto-Oncogene Proteins c-kitRNA, MessengerChronic diabetesHematopoietic stem cellsInflammationTranscriptome

Identifiers

PMID39134978
PMCPMC11318115

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LicenceCC BY-NC-ND
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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.