Innate lymphoid cells in autoimmune diseases

Kumar, Vijay

doi:10.1016/b978-0-12-822564-6.00007-0

Cited by 3 publications

(3 citation statements)

References 219 publications

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“…However, they are lineage negative and do not express antigen-specific receptors encoded by rearranged genes, including T cell or B cell receptors (TCRs or BCRs). ILCs also do not show V(D)J recombination required for somatic hypermutation (SHM)/recombination, like T and B cells (241). However, they respond to various immunogenic stimuli, including pathogens, to mounting a pro-inflammatory immune response.…”

Section: Immunometabolic Reprogramming Among Innate Lymphoid Cells In...mentioning

confidence: 99%

Immunometabolic reprogramming, another cancer hallmark

Kumar

Stewart

2023

Front. Immunol.

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Molecular carcinogenesis is a multistep process that involves acquired abnormalities in key biological processes. The complexity of cancer pathogenesis is best illustrated in the six hallmarks of the cancer: (1) the development of self-sufficient growth signals, (2) the emergence of clones that are resistant to apoptosis, (3) resistance to the antigrowth signals, (4) neo-angiogenesis, (5) the invasion of normal tissue or spread to the distant organs, and (6) limitless replicative potential. It also appears that non-resolving inflammation leads to the dysregulation of immune cell metabolism and subsequent cancer progression. The present article delineates immunometabolic reprogramming as a critical hallmark of cancer by linking chronic inflammation and immunosuppression to cancer growth and metastasis. We propose that targeting tumor immunometabolic reprogramming will lead to the design of novel immunotherapeutic approaches to cancer.

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Section: Immunometabolic Reprogramming Among Innate Lymphoid Cells In...mentioning

confidence: 99%

Immunometabolic reprogramming, another cancer hallmark

Kumar

Stewart

2023

Front. Immunol.

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“…OX40/OX40L pair has an important role in second signaling pathways in T cells [ 14 , 17 ]. Studies have shown that IL-18, interferon-gamma (IFN -γ), and transmission of inflammatory signals through toll-like receptors could induce OX40L expression on APCs [ 18 , 19 ]. Pro-inflammatory factors including CD28 ligation, CD40L ligation and IFN-γ induce the expression of OX40 and OX40L.…”

Section: Introductionmentioning

confidence: 99%

Association between OX40L polymorphism and type 2 diabetes mellitus in Iranians

Jahromi,

Erfanian,

Roustazadeh

2024

BMC Med Genomics

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Introduction Diabetes mellitus (DM) is one of the leading causes of morbidity and mortality worldwide. It is a multifactorial disease that genetic and environmental factors contribute to its development. The aim of the study was to investigate the association of OX40L promoter gene polymorphisms with type 2 diabetes mellitus (T2DM) in Iranians. Materials and methods Three hundred and sixty-eight subjects including 184 healthy subjects and 184 T2DM patients were enrolled in our study. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was applied to detect genotype and allele frequencies of rs3850641, rs1234313 and rs10912580. In addition, SNPStats web tool was applied to estimate haplotype frequency and linkage disequilibrium (LD). Results The distribution of tested polymorphisms was statistically different between the T2DM patients and healthy subjects (P < 0.01). rs1234313 AG (OR = 0.375, 95% CI = 0.193–0.727, P = 0.004) and rs10912580 AG (OR = 0.351, 95% CI = 0.162–0.758, P = 0.008) genotypes were associated with the decreased risk of T2DM in Iranians. Moreover, our prediction revealed that AAG (OR = 0.46, 95% CI= (0.28–0.76), P = 0.0028) and GAG (OR = 0.24, 95% CI= (0.13–0.45), P < 0.0001) haplotypes were related to the reduced risk of the disease. However, the tested polymorphisms had no effect on biochemical parameters and body mass index (BMI) in the patient group (P > 0.05). Conclusion Our findings revealed that OX40L promoter gene polymorphisms are associated with T2DM. Moreover, genotype and allelic variations were related to the decreased risk of T2DM in Iranians. Further studies are recommended to show whether these polymorphic variations could affect OX40/OX40L interaction or OX40L phenotype.

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“…The accurate classification of ILCs is of great medical significance, as the functions and behaviors of various ILCs in the body can vary greatly. Abnormalities in the functions of ILCs can impact the onset and progression of various conditions, including inflammation, autoimmune diseases, metabolic disorders, and allergies ( Elemam et al, 2017 ; Li et al, 2017 ; Golebski et al, 2019 ; Bartemes and Kita, 2021 ; Kabata et al, 2022 ; Kumar, 2022 ; Surace and Wilhelm, 2022 ). To effectively utilize the potential of ILCs in disease diagnosis and treatment, it is crucial to classify ILCs with the highest possible accuracy.…”

Section: Introductionmentioning

confidence: 99%

Prediction of distinct populations of innate lymphoid cells by transcriptional profiles

Dong,

Du,

et al. 2023

Front. Genet.

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Innate lymphoid cells (ILCs) are a unique type of lymphocyte that differ from adaptive lymphocytes in that they lack antigen receptors, which primarily reside in tissues and are closely associated with fibers. Despite their plasticity and heterogeneity, identifying ILCs in peripheral blood can be difficult due to their small numbers. Accurately and rapidly identifying ILCs is critical for studying homeostasis and inflammation. To address this challenge, we collect single-cell RNA-seq data from 647 patients, including 26,087 transcripts. Background screening, Lasso analysis, and principal component analysis (PCA) are used to select features. Finally, we employ a deep neural network to classify lymphocytes. Our method achieved the highest accuracy compared to other approaches. Furthermore, we identified four genes that play a vital role in lymphocyte development. Adding these gene transcripts into model, we were able to increase the model’s AUC. In summary, our study demonstrates the effectiveness of using single-cell transcriptomic analysis combined with machine learning techniques to accurately identify congenital lymphoid cells and advance our understanding of their development and function in the body.

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Innate lymphoid cells in autoimmune diseases

Cited by 3 publications

References 219 publications

Immunometabolic reprogramming, another cancer hallmark

Immunometabolic reprogramming, another cancer hallmark

Association between OX40L polymorphism and type 2 diabetes mellitus in Iranians

Prediction of distinct populations of innate lymphoid cells by transcriptional profiles

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