LncRNA PTTG3P induced aberrant glycosylated IgA1 production and B cell growth in IgA nephropathy

Bi, Min; Shi, Jie; Zhao, Yu; Li, Chunmei

doi:10.1007/s11356-021-13335-5

Cited by 11 publications

(7 citation statements)

References 33 publications

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“…Cyclin-dependent kinase regulatory subunit 1B ( CKS1B ) is crucial in cell cycle regulation and closely related to tumor initiation, maintenance, and progression, thus significantly associated with the prognosis of cancers ( 48 , 49 ). Putative pituitary tumor-transforming gene 3 protein ( PTTG3P ) was found to be regulated expressed in several tumors, which proved to play a role in interleukin (IL)-1β, IL-8 production and B cell growth and a series of cell functions such as cell growth, migration, invasion and apoptosis ( 50 , 51 ). In spite of the proven effects of SIGLEC9 and TSPO on sepsis and sepsis-related pathological mechanisms as well as the potent underlying roles of these four genes in immune and inflammatory responses, none of these genes have been studied or explored in se-ARDS at a clinical level.…”

Section: Discussionmentioning

confidence: 99%

Integrated Analysis of Gene Co-Expression Network and Prediction Model Indicates Immune-Related Roles of the Identified Biomarkers in Sepsis and Sepsis-Induced Acute Respiratory Distress Syndrome

et al. 2022

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Sepsis is a series of clinical syndromes caused by immunological response to severe infection. As the most important and common complication of sepsis, acute respiratory distress syndrome (ARDS) is associated with poor outcomes and high medical expenses. However, well-described studies of analysis-based researches, especially related bioinformatics analysis on revealing specific targets and underlying molecular mechanisms of sepsis and sepsis-induced ARDS (sepsis/se-ARDS), still remain limited and delayed despite the era of data-driven medicine. In this report, weight gene co-expression network based on data from a public database was constructed to identify the key modules and screen the hub genes. Functional annotation by enrichment analysis of the modular genes also demonstrated the key biological processes and signaling pathway; among which, extensive immune-involved enrichment was remarkably associated with sepsis/se-ARDS. Based on the differential expression analysis, least absolute shrink and selection operator, and multivariable logistic regression analysis of the screened hub genes, SIGLEC9, TSPO, CKS1B and PTTG3P were identified as the candidate biomarkers for the further analysis. Accordingly, a four-gene-based model for diagnostic prediction assessment was established and then developed by sepsis/se-ARDS risk nomogram, whose efficiency was verified by calibration curves and decision curve analyses. In addition, various machine learning algorithms were also applied to develop extra models based on the four genes. Receiver operating characteristic curve analysis proved the great diagnostic and predictive performance of these models, and the multivariable logistic regression of the model was still found to be the best as further verified again by the internal test, training, and external validation cohorts. During the development of sepsis/se-ARDS, the expressions of the identified biomarkers including SIGLEC9, TSPO, CKS1B and PTTG3P were all regulated remarkably and generally exhibited notable correlations with the stages of sepsis/se-ARDS. Moreover, the expression levels of these four genes were substantially correlated during sepsis/se-ARDS. Analysis of immune infiltration showed that multiple immune cells, neutrophils and monocytes in particular, might be closely involved in the process of sepsis/se-ARDS. Besides, SIGLEC9, TSPO, CKS1B and PTTG3P were considerably correlated with the infiltration of various immune cells including neutrophils and monocytes during sepsis/se-ARDS. The discovery of relevant gene co-expression network and immune signatures might provide novel insights into the pathophysiology of sepsis/se-ARDS.

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Section: Discussionmentioning

confidence: 99%

Integrated Analysis of Gene Co-Expression Network and Prediction Model Indicates Immune-Related Roles of the Identified Biomarkers in Sepsis and Sepsis-Induced Acute Respiratory Distress Syndrome

et al. 2022

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“…Moreover, the lncRNA PTTG3P levels have been found higher in IgAN samples than in healthy subjects. Overexpression of PTTG3P induced B-cell growth, increased the expression of cyclin D1 and Ki-67 genes, and induced the production of IL-1β and IL-8, which play key roles in the onset and development of IgAN [ 105 ]. Some lncRNAs may be used as disease biomarkers.…”

Section: The Role Of Lncrna In Kidney Diseasementioning

confidence: 99%

The Mission of Long Non-Coding RNAs in Human Adult Renal Stem/Progenitor Cells and Renal Diseases

Giannuzzi

Maiullari

Gesualdo

et al. 2023

Cells

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Long non-coding RNAs (lncRNAs) are a large, heterogeneous class of transcripts and key regulators of gene expression at both the transcriptional and post-transcriptional levels in different cellular contexts and biological processes. Understanding the potential mechanisms of action of lncRNAs and their role in disease onset and development may open up new possibilities for therapeutic approaches in the future. LncRNAs also play an important role in renal pathogenesis. However, little is known about lncRNAs that are expressed in the healthy kidney and that are involved in renal cell homeostasis and development, and even less is known about lncRNAs involved in human adult renal stem/progenitor cells (ARPC) homeostasis. Here we give a thorough overview of the biogenesis, degradation, and functions of lncRNAs and highlight our current understanding of their functional roles in kidney diseases. We also discuss how lncRNAs regulate stem cell biology, focusing finally on their role in human adult renal stem/progenitor cells, in which the lncRNA HOTAIR prevents them from becoming senescent and supports these cells to secrete high quantities of α-Klotho, an anti-aging protein capable of influencing the surrounding tissues and therefore modulating the renal aging.

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“…The lncRNA PTTG3P induces abnormal production of glycosylated IgA1; moreover, PTTG3P was overexpressed in IgAN samples compared to healthy subjects, and urinary PTTG3P levels were also higher in IgAN patients than healthy controls. Meanwhile, PTTG3P overexpression stimulated B-cell growth, enhanced the expressions of cyclin miRNA and Ki-67, and induced the production of IL-1β and IL-8 ( Bi et al, 2021 ). Previous studies have shown that IL-1β and IL8 play key roles in the occurrence and development of IgAN; thus, PTTG3P plays a key role in the progression of IgAN ( An et al, 2020 ).…”

Section: Lncrna In Iganmentioning

confidence: 99%

Kidney diseases and long non-coding RNAs in the limelight

Liu

Zhang

et al. 2022

Front. Physiol.

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The most extensively and well-investigated sequences in the human genome are protein-coding genes, while large numbers of non-coding sequences exist in the human body and are even more diverse with more potential roles than coding sequences. With the unveiling of non-coding RNA research, long-stranded non-coding RNAs (lncRNAs), a class of transcripts >200 nucleotides in length primarily expressed in the nucleus and rarely in the cytoplasm, have drawn our attention. LncRNAs are involved in various levels of gene regulatory processes, including but not limited to promoter activity, epigenetics, translation and transcription efficiency, and intracellular transport. They are also dysregulated in various pathophysiological processes, especially in diseases and cancers involving genomic imprinting. In recent years, numerous studies have linked lncRNAs to the pathophysiology of various kidney diseases. This review summarizes the molecular mechanisms involved in lncRNAs, their impact on kidney diseases, and associated complications, as well as the value of lncRNAs as emerging biomarkers for the prevention and prognosis of kidney diseases, suggesting their potential as new therapeutic tools.

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LncRNA PTTG3P induced aberrant glycosylated IgA1 production and B cell growth in IgA nephropathy

Cited by 11 publications

References 33 publications

Integrated Analysis of Gene Co-Expression Network and Prediction Model Indicates Immune-Related Roles of the Identified Biomarkers in Sepsis and Sepsis-Induced Acute Respiratory Distress Syndrome

Integrated Analysis of Gene Co-Expression Network and Prediction Model Indicates Immune-Related Roles of the Identified Biomarkers in Sepsis and Sepsis-Induced Acute Respiratory Distress Syndrome

The Mission of Long Non-Coding RNAs in Human Adult Renal Stem/Progenitor Cells and Renal Diseases

Kidney diseases and long non-coding RNAs in the limelight

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