cell receptor signaling
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2022 ◽  
Vol 12 ◽  
Author(s):  
Yan-ming Chen ◽  
Qiong Zhu ◽  
Jie Cai ◽  
Zhi-jia Zhao ◽  
Bin-bin Yao ◽  
...  

ObjectiveGestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, and its pathogenesis is still unclear. Studies have shown that circular RNAs (circRNAs) can regulate blood glucose levels by targeting mRNAs, but the role of circRNAs in GDM is still unknown. Therefore, a joint microarray analysis of circRNAs and their target mRNAs in GDM patients and healthy pregnant women was carried out.MethodsIn this study, microarray analyses of mRNA and circRNA in 6 GDM patients and 6 healthy controls were conducted to identify the differentially expressed mRNA and circRNA in GDM patients, and some of the discovered mRNAs and circRNAs were further validated in additional 56 samples by quantitative realtime PCR (qRT-PCR) and droplet digital PCR (ddPCR).ResultsGene ontology and pathway analyses showed that the differentially expressed genes were significantly enriched in T cell immune-related pathways. Cross matching of the differentially expressed mRNAs and circRNAs in the top 10 KEGG pathways identified 4 genes (CBLB, ITPR3, NFKBIA, and ICAM1) and 4 corresponding circRNAs (circ-CBLB, circ-ITPR3, circ-NFKBIA, and circ-ICAM1), and these candidates were subsequently verified in larger samples. These differentially expressed circRNAs and their linear transcript mRNAs were all related to the T cell receptor signaling pathway, and PCR results confirmed the initial microarray results. Moreover, circRNA/miRNA/mRNA interactions and circRNA-binding proteins were predicted, and circ-CBLB, circ-ITPR3, and circ-ICAM1 may serve as GDM-related miRNA sponges and regulate the expression of CBLB, ITPR3, NFKBIA, and ICAM1 in cellular immune pathways.ConclusionUpregulation of T cell receptor signaling pathway components may represent the major pathological mechanism underlying GDM, thus providing a potential approach for the prevention and treatment of GDM.


2021 ◽  
Vol 6 (66) ◽  
Author(s):  
Puspa Thapa ◽  
Rebecca S. Guyer ◽  
Alexander Y. Yang ◽  
Christopher A. Parks ◽  
Todd M. Brusko ◽  
...  

Author(s):  
Debjani Dutta ◽  
Srikanth K. Santhanam ◽  
Farhat Parween ◽  
Sana Ismaeel ◽  
Ayub Qadri

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2281-2281
Author(s):  
Rachel Gallant ◽  
Katti Arroyo ◽  
Paige Bracci ◽  
Catherine Metayer ◽  
Adam J. de Smith ◽  
...  

Abstract Background: Recent evidence supports the role of cytomegalovirus (CMV) in the development of childhood ALL. The underlying mechanism and CMV's role in the leukemic cell phenotype is unknown, but CMV typically interacts with the host immune system allowing the virus to survive in a latent state; it may be that this immune dysregulation affects the risk of ALL. This study aims to explore the association of CMV and ALL at the time of leukemia diagnosis, using AML cases as a control and further, to determine whether CMV affects certain subgroups of ALL patients such as specific ethnicities, age groups, or cytogenetic subtypes. Methods: Pediatric diagnostic leukemia bone marrow samples obtained from the California Childhood Leukemia Study were screened for the presence of CMV DNA using a custom-designed droplet digital PCR assay. A total of 869 cases were analyzed including 125 AML cases and 744 ALL cases. Demographic and clinical features were compared between patients found to be CMV positive (cases with any detectable CMV positive droplets) and those who were CMV negative (cases with no detectable CMV positive droplets). The effect of the level of CMV viral DNA load was also assessed. For a subset of cases (n=61), Affymetrix Array gene expression data were available and differential gene expression performed to compare CMV positive cases with high viral load to CMV negative cases. Odds ratios and confidence intervals were estimated using logistic regression. Results: ALL cases were more likely to be CMV positive compared to AML (OR: 2.50; CI 1.00, 5.47, p = 0.039 for CMV highest quintile vs. CMV negative). Within ALL cases, B-cell ALL (B-ALL) was significantly associated with CMV positivity compared to T-cell ALL (T-ALL) (OR: 2.93; CI: 1.01, 8.52, p = 0.048 for CMV highest tertile vs. CMV negative). Further subtype analysis of B-ALL cases revealed CMV positivity to be significantly associated with high hyperdiploidy, one of the most common ALL subtypes, when compared to ETV6-RUNX1 (OR: 2.52; CI:1.34, 4.73, p = 0.004 for highest CMV tertile vs. CMV negative). CMV positive B-ALL cases were also more likely to harbor deletions of EBF1, a B-cell development gene, compared to CMV negative cases (OR: 6.10; CI: 1.09, 34.06, p = 0.04 for CMV 2 nd tertile vs. CMV negative; OR: 5.54; CI: 1.13, 27.18, p = 0.03 for CMV highest tertile vs. CMV negative). Differential gene expression analysis revealed 830 genes to be significantly differentially expressed between the highest quintile of CMV positive cases and CMV negative cases, and gene ontology analysis revealed upregulation of processes involved in viral infection and replication. Specifically, cytokine signaling pathways including IL-1, IL-8, and IL-7 were upregulated in CMV positive cases while Th1 and the pathway facilitating crosstalk between dendritic cells and natural killer cells were downregulated. Interestingly, B-cell receptor signaling was also upregulated in CMV positive cases. Conclusion: Our results support the hypothesis that CMV plays an enhanced role in leukemia development in specific subtypes of ALL, and not in AML development. The ability of CMV to interact with the host immune system, highlights immune dysregulation as a potential mechanism by which CMV contributes to risk of ALL. Gene expression analysis on a subset of cases revealed differentially expressed genes to be enriched in pathways involved in immune response, suggesting a potential role for active CMV infection in the leukemic phenotype. The patterns of up- and downregulation in these pathways were consistent with the host response to CMV. Additionally, acute CMV infection has been shown to promote B-cell activation and proliferation. Further, CMV seropositive individuals have been reported to have altered immune responses even with the virus in a latent state highlighting the virus's effect on B-cells. In our study we also found B-cell receptor signaling to be upregulated in CMV positive cases. This is consistent with the known effects of CMV in a typical host, but in patients with leukemia it provides an interesting potential link between CMV infection and development of pediatric ALL. These intriguing results require validation and warrant continued investigation of the role of CMV in pediatric leukemia development. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Author(s):  
Mirei Shirakashi ◽  
Mikako Maruya ◽  
Keiji Hirota ◽  
Tatsuaki Tsuruyama ◽  
Takashi Matsuo ◽  
...  

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Duncan Wei ◽  
Jian Chen ◽  
Xiaopu Chen ◽  
Shaoyan Wu ◽  
Zhaolin Chen ◽  
...  

Abstract Background Ischemic stroke is a disease with high rate of death and disability worldwide. CircRNAs, as a novel type of non-coding RNAs, lacking 5’ caps and 3’ poly-A tails, has been associated with ischemic stroke. This study aimed to investigate key circRNAs related to ischemic stroke. Methods RNA sequencing was performed obtain the circRNA expression profiles from peripheral whole blood of three ischemic stroke patients and three healthy individuals. Through bioinformatic analysis, differentially expressed circRNAs (DEcircRNAs) were identified, and GO and pathway analyses for the host genes of DEcircRNAs were conducted. The expression levels of selected circRNAs were analyzed with qRT-PCR. To further explore the functions of key circRNAs, a DEcircRNA-miRNA interaction network was constructed. Results A total of 736 DEcircRNAs were detected in ischemic stroke. Functional annotation of host genes of DEcircRNAs revealed several significantly enriched pathways, including Fc epsilon RI signaling pathway, B cell receptor signaling pathway, and T cell receptor signaling pathway. The qRT-PCR results were largely in keeping with our RNA-seq data. The ROC curve analyses indicated that hsa_circ_0000745, hsa_circ_0001459, hsa_circ_0003694 and hsa_circ_0007706 with relatively high diagnostic value. A circRNA-miRNA network, including 1544 circRNA-miRNA pairs, 456 circRNAs and 4 miRNAs, was obtained. Conclusions The results of our study may help to elucidate the specific mechanism underlying ischemic stroke.


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