NFKBIB

Last update 08 May 2025

Basic Info

Synonyms

I-kappa-B-beta, IkappaBbeta, IkB-B

+ [10]

Introduction

Inhibits NF-kappa-B by complexing with and trapping it in the cytoplasm. However, the unphosphorylated form resynthesized after cell stimulation is able to bind NF-kappa-B allowing its transport to the nucleus and protecting it to further NFKBIA-dependent inactivation. Association with inhibitor kappa B-interacting NKIRAS1 and NKIRAS2 prevent its phosphorylation rendering it more resistant to degradation, explaining its slower degradation.

100 Clinical Results associated with NFKBIB

100 Translational Medicine associated with NFKBIB

0 Patents (Medical) associated with NFKBIB

413

Literatures (Medical) associated with NFKBIB

01 Jun 2025·Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease

Dipeptidyl peptidase 9 (DPP9) depletion from hepatocytes in experimental primary liver cancer

Article

Author: Zhang, Hui E ; McCaughan, Geoffrey W ; Xiang, Michelle Sui Wen ; Gorrell, Mark D ; Reinheckel, Thomas ; Huang, JiaLi Carrie ; Tong, Xinlin Linda ; McKenzie, Catriona A ; Foulis, Diarmid P ; Zhang, MingChang ; Boumelhem, Badwi B

Dipeptidyl peptidase 9 (DPP9) is an indispensable intracellular protease. Among its many molecular functions is suppression of the NLRP1 inflammasome. Inhibitors targeting all four proteases of the DPP4 family, including DPP9, can reduce tumour burden, including in mouse liver. To explore hepatocyte DPP9 in experimental hepatocellular carcinoma (HCC), we generated hepatocyte-specific DPP9-KO mice by crossing albumin-Cre mice with DPP9 floxed mice and treated sequentially with diethylnitrosamine, then with thioacetamide combined with an atherogenic high-fat diet until 28 weeks of age. DPP9-KO mice had less body, liver and subcutaneous adipose tissue mass, lower fasting plasma glucose and fewer small macroscopic liver nodules compared to DPP9-WT control mice. However, there were no differences in the total number of macroscopic liver nodules, or of microscopic tumour burden, inflammation, fibrosis or steatosis. Consistent with the known function of DPP9 to suppress NLRP1 activation, activated caspase-1 protein and inflammation markers Nfkbib, Cxcl10 and Ccl5 were elevated in DPP9-KO liver. The tumour suppressor protein p53 was increased and the autophagy proteins beclin1, LC3B and p62 were altered. In conclusion, hepatocyte-specific DPP9 gene deletion in experimental primary liver cancer improved energy metabolism and may reduce liver cancer initiation, via mechanisms that may include increased autophagy and tumour suppression.

20 Mar 2025·Blood

Population dynamics modeling reveals that myeloid bias involves both HSC differentiation and progenitor proliferation biases

Article

Author: Singh, Apeksha ; Chia, Jennifer J. ; Rao, Dinesh S. ; Hoffmann, Alexander

AbstractAging and chronic inflammation are associated with overabundant myeloid-primed multipotent progenitors (MPPs) among hematopoietic stem and progenitor cells (HSPCs). Although hematopoietic stem cell (HSC) differentiation bias has been considered a primary cause of myeloid bias, whether it is sufficient has not been quantitatively evaluated. Here, we analyzed bone marrow data from the IκB− (Nfkbia+/−Nfkbib−/−Nfkbie−/−) mouse model of inflammation with elevated NFκB activity, which reveals increased myeloid-biased MPPs. We interpreted these data with differential equation models of population dynamics to identify alterations of HSPC proliferation and differentiation rates. This analysis revealed that short-term HSC differentiation bias alone is likely insufficient to account for the increase in myeloid-biased MPPs. To explore additional mechanisms, we used single-cell RNA sequencing (scRNA-seq) measurements of IκB− and wild-type HSPCs to track the continuous differentiation trajectories from HSCs to erythrocyte/megakaryocyte, myeloid, and lymphoid primed progenitors. Fitting a partial differential equations model of population dynamics to these data revealed not only less lymphoid-fate specification among HSCs but also increased expansion of early myeloid-primed progenitors. Differentially expressed genes along the differentiation trajectories supported increased proliferation among these progenitors. These findings were conserved when wild-type HSPCs were transplanted into IκB− recipients, indicating that an inflamed bone marrow microenvironment is a sufficient driver. We then applied our analysis pipeline to scRNA-seq measurements of HSPCs isolated from aged mice and human patients with myeloid neoplasms. These analyses identified the same myeloid-primed progenitor expansion as in the IκB− models, suggesting that it is a common feature across different settings of myeloid bias.

01 Mar 2025·Mammalian Genome

Identification of cis-sQTL demonstrates genetic associations and functional implications of inflammatory processes in Nelore cattle muscle tissue

Article

Author: Frezarim, Gabriela Bonfá ; Dos Santos, Thaís Cristina Ferreira ; Baldi, Fernando ; Muniz, Maria Malane Magalhães ; Albuquerque, Lucia Galvão De ; Salatta, Bruna Maria ; Silva, Danielly Beraldo Dos Santos ; Fonseca, Larissa Fernanda Simielli ; Silva, Evandro Neves

This study aimed to identify splicing quantitative trait loci (cis-sQTL) in Nelore cattle muscle tissue and explore the involvement of spliced genes (sGenes) in immune system-related biological processes. Genotypic data from 80 intact male Nelore cattle were obtained using SNP-Chip technology, while RNA-Seq analysis was performed to measure gene expression levels, enabling the integration of genomic and transcriptomic datasets. The normalized expression levels of spliced transcripts were associated with single nucleotide polymorphisms (SNPs) through an analysis of variance using an additive linear model with the MatrixEQTL package. A permutation analysis then assessed the significance of the best SNPs for each spliced transcript. Functional enrichment analysis was performed on the sGenes to investigate their roles in the immune system. In total, 3,187 variants were linked to 3,202 spliced transcripts, with 83 sGenes involved in immune system processes. Of these, 31 sGenes were enriched for five transcription factors. Most cis-sQTL effects were found in intronic regions, with 27 sQTL variants associated with disease susceptibility and resistance in cattle. Key sGenes identified, such as GSDMA, NLRP6, CASP6, GZMA, CASP4, CASP1, TREM2, NLRP1, and NAIP, were related to inflammasome formation and pyroptosis. Additionally, genes like PIDD1, OPTN, NFKBIB, STAT1, TNIP3, and TREM2 were involved in regulating the NF-kB pathway. These findings lay the groundwork for breeding disease-resistant cattle and enhance our understanding of genetic mechanisms in immune responses.

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NFKBIB

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