scholarly journals NIMG-44. NON-INVASIVE ADVANCED IMAGING METRICS PROVIDE POTENTIAL BIOMARKERS FOR GBM BIOLOGICAL HETEROGENEITY AND IMMUNE LANDSCAPE VARIANCE

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi171-vi171
Author(s):  
Cymon Kersch ◽  
Leslie Muldoon ◽  
Rochelle Fu ◽  
Cheryl Claunch ◽  
Edward Neuwelt ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Set Enrichment Analysis ◽  
Immune Gene ◽  
Biological Processes ◽  
Non Invasive ◽  
Mri Features ◽  
Inflammatory Immune Response

Abstract BACKGROUND Treatment of glioblastoma multiforme (GBM) is complicated by extensive tumor heterogeneity. We hypothesize that transcriptomic analysis of brain tumor regions with different magnetic resonance imaging (MRI) characteristics will define specific biological processes, providing a non-invasive method for tumor characterization and stratification. METHODS Previously at the University of California San Francisco, treatment naïve GBM tissue from gadolinium contrast enhancing lesion (CEL) and non-enhancing lesion (NCEL) regions were stereotactically sampled; prior to resection, relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC) were determined. The tissue samples were characterized by immunohistochemistry and assessed for gene expression by microarray analysis. We correlated gene expression patterns in the CEL, NCEL, and non-tumor gliotic brain samples with multimodal physiological imaging metrics and immunohistochemical phenotypes. Gene expression networks were probed using Gene Set Enrichment Analysis. Key immunologic genes were examined individually. RESULTS Samples with differing MRI and histological phenotypes demonstrated transcriptomic variance reflecting distinct biological networks. We found significant differences in immune pathways, with immune gene signature prominent in CEL areas, moderate in NCEL and low in gliotic non-tumor brain. Within homogenously enhancing areas of CEL and NCEL there was underlying heterogeneity detectable by variable rCBV, ADC and histological phenotypes, which correlate with differing gene expression profiles indicative of biological and immunological tumor microenvironments. Increasing rCBV was correlated with an anti-inflammatory immune response in the CEL and a pro-inflammatory immune response in the NCEL. ADC was negatively correlated with cell cycle and immune networks in CEL, while NCEL ADC was positively correlated with immune processes. GBM samples with the mesenchymal molecular subtype had the greatest immune response. CONCLUSIONS Multimodal MRI features identify regionally diverse transcriptomic-based biological and immunological phenotypes in GBM. We propose that imaging genomics provides a technique for localizing biological processes and tumor immune microenvironments across space and time in GBM.

scholarly journals Transcriptional Profiling of Leucocyte Count Variation from Porcine Peripheral Blood Reveals Differential Gene Expression

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Adeyinka Abiola Adetula ◽  
Xiangdong Liu ◽  
Thuy Nhien Tran Thi ◽  
Ali Akbar Bhuiyan ◽  
Xiaoyong Du ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Differential Expression ◽  
Leucocyte Count ◽  
Expression Profiles ◽  
Transcriptional Profiling ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Poly I:C ◽  
Biological Processes

Leucocytes have tremendous health-check importance related to the individual antiviral capacity of pigs and other mammals. However, the molecular mechanism of the immune response of blood leucocytes in pigs is not completely known. This study investigated the leucocyte-count variation before and after poly I:C stimulation in a Duroc–Erhualian F2 population. Pigs with increased and decreased differences in leucocyte counts were coded as increased responder (IR) and decreased responder (DR), respectively. Then, we used microarray technology to compare the gene-expression profiles of both groups of pigs. Transcriptomic analysis identified 129 differentially expressed genes (DEGs) in IR pigs and 136 DEGs in DR pigs. Forty-one common DEGs showed that both groups had similar expression patterns of immune responses. These results illustrated a differential expression in both groups. Furthermore, qPCR experiment was performed to verify the differential-expression profile. Functional annotation of the DEGs indicated that both IR and DR pigs were similar in several biological processes, including innate immune response, and also exhibited distinct differences in biological processes, molecular function, and pathways. These results provided insights into the mechanism underlying the antiviral capacity of pigs.Trial registration numberis CAS Registry Number24939-03-5.

scholarly journals Early Response of CD8+ T Cells in COVID-19 Patients

2021 ◽  
Vol 11 (12) ◽  
pp. 1291
Author(s):  
Deni Ramljak ◽  
Martina Vukoja ◽  
Marina Curlin ◽  
Katarina Vukojevic ◽  
Maja Barbaric ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
T Cells ◽  
Mrna Expression ◽  
Cd8 T Cells ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Effector Memory ◽  
Healthy Controls ◽  
Ifn Γ

Healthy and controlled immune response in COVID-19 is crucial for mild forms of the disease. Although CD8+ T cells play important role in this response, there is still a lack of studies showing the gene expression profiles in those cells at the beginning of the disease as potential predictors of more severe forms after the first week. We investigated a proportion of different subpopulations of CD8+ T cells and their gene expression patterns for cytotoxic proteins (perforin-1 (PRF1), granulysin (GNLY), granzyme B (GZMB), granzyme A (GZMA), granzyme K (GZMK)), cytokine interferon-γ (IFN-γ), and apoptotic protein Fas ligand (FASL) in CD8+ T cells from peripheral blood in first weeks of SARS-CoV-2 infection. Sixteen COVID-19 patients and nine healthy controls were included. The absolute counts of total lymphocytes (p = 0.007), CD3+ (p = 0.05), and CD8+ T cells (p = 0.01) in COVID-19 patients were significantly decreased compared to healthy controls. In COVID-19 patients in CD8+ T cell compartment, we observed lower frequency effector memory 1 (EM1) (p = 0.06) and effector memory 4 (EM4) (p < 0.001) CD8+ T cells. Higher mRNA expression of PRF1 (p = 0.05) and lower mRNA expression of FASL (p = 0.05) at the fifth day of the disease were found in COVID-19 patients compared to healthy controls. mRNA expression of PRF1 (p < 0.001) and IFN-γ (p < 0.001) was significantly downregulated in the first week of disease in COVID-19 patients who progressed to moderate and severe forms after the first week, compared to patients with mild symptoms during the entire disease course. GZMK (p < 0.01) and FASL (p < 0.01) mRNA expression was downregulated in all COVID-19 patients compared to healthy controls. Our results can lead to a better understanding of the inappropriate immune response of CD8+ T cells in SARS-CoV2 with the faster progression of the disease.

scholarly journals Aortic Gene Expression Profiles Show How ApoA-I Levels Modulate Inflammation, Lysosomal Activity, and Sphingolipid Metabolism in Murine Atherosclerosis

2020 ◽  
Author(s):  
Marco Busnelli ◽  
Stefano Manzini ◽  
Matteo Chiara ◽  
Alice Colombo ◽  
Fabrizio Fontana ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Sphingolipid Metabolism ◽  
Gene Expression Patterns ◽  
Peripheral Tissues ◽  
Lysosomal Activity ◽  
Better Regulation ◽  
Atherosclerosis Development

Objective: HDL (high-density lipoprotein) particles are known to possess several antiatherogenic properties that include the removal of excess cholesterol from peripheral tissues, the maintenance of endothelial integrity, antioxidant, and anti-inflammatory activities. ApoA-I overexpression in apoE-deficient (EKO) mice has been shown to increase HDL levels and to strongly reduce atherosclerosis development. The aim of the study was to investigate gene expression patterns associated with atherosclerosis development in the aorta of EKO mice and how HDL plasma levels relate to gene expression patterns at different stages of atherosclerosis development and with different dietary treatments. Approach and Results: Eight-week-old EKO mice, EKO mice overexpressing human apoA-I, and wild-type mice as controls were fed either normal laboratory or Western diet for 6 or 22 weeks. Cholesterol distribution among lipoproteins was evaluated, and atherosclerosis of the aorta was quantified. High-throughput sequencing technologies were used to analyze the transcriptome of the aorta of the 3 genotypes in each experimental condition. In addition to the well-known activation of inflammation and immune response, the impairment of sphingolipid metabolism, phagosome-lysosome system, and osteoclast differentiation emerged as relevant players in atherosclerosis development. The reduced atherosclerotic burden in the aorta of EKO mice expressing high levels of apoA-I was accompanied by a reduced activation of immune system markers, as well as reduced perturbation of lysosomal activity and a better regulation of the sphingolipid synthesis pathway. Conclusions: ApoA-I modulates atherosclerosis development in the aorta of EKO mice affecting the expression of pathways additional to those associated with inflammation and immune response.

scholarly journals The Expression of Human Placental Genes Related to Carotenoid/retinoid Metabolism and Pathways (P02-005-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Xiaoming Gong ◽  
Lewis Rubin
Keyword(s):  
Gene Expression ◽  
Microarray Analysis ◽  
Fetal Development ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Set Enrichment Analysis ◽  
Differentially Expressed ◽  
Retinoid Metabolism ◽  
Expression Of Genes ◽  
Β Carotene

Abstract Objectives Carotenoid/retinoids status and metabolism are essential for normal placental and fetal development. Both deficiencies and excess of retinoids and some carotenoids are associated with adverse pregnancy outcomes, such as preeclampsia and preterm birth. A group of important genes involved in regulating carotenoid/retinoid metabolism and maternal to fetal transfer in human placenta. The objective of this study is to analyze (a) the expression of genes critical for regulating carotenoid/retinoid metabolism and maternal-fetal transport in human trophoblasts and (b) placental transcriptional profiles of these pathways in response to carotenoid exposure. Methods Human cytotrophoblasts (CTBs) were isolated from term placentas. CTB RNA was used to analyze the expression of genes involved in carotenoid/retinoid metabolism and pathways by qRT-PCT. First trimester-like trophoblasts (HTR-8/SVneo) were treated with either β-carotene or lycopene. RNAs were isolated and gene expression were analyzed by DNA microarrays. Results Human CTBs express retinoid metabolism and pathways-related genes, including Stra6, Lrat, Rdh5, Rdh10, Aldh1a1, Aldh1a2, Aldh1a3, Aldh8a1, Cyp26a1, and Cyp26b1, but not carotenoid metabolism genes, BCO1 and BCO2. Microarray analysis of placental gene expression profile revealed a total of 872 and 756 differentially expressed genes, respectively, compared to the control. Gene set enrichment analysis and functional annotation clustering was performed to characterize the genes differentially expressed in either β-carotene or lycopene-treated HTR-8/SVneo cells. Many known retinoid metabolism related genes and genes involved in regulation of retinoid signaling were found, and the expression profiles of these genes were markedly different in response to β-carotene treatments. Finally, the qRT-PCR and microarray analysis results showed similar gene expression patterns of carotenoid/retinoid metabolism and pathways. Conclusions These findings suggest that placental expression of genes involved in retinoid metabolism and transport in trophoblasts is critical for regulating retinoid homeostasis during placental and fetal development. Carotenoid exposure in early placental development, significantly modify the placenta gene expression related to retinoid pathways and maternal to fetal transfer. Funding Sources NIH HD421174.

scholarly journals Gene expression patterns associated with neurological disease in HIV infection

2016 ◽  
Author(s):  
Pietro Paolo Sanna ◽  
Vez Repunte-Canonigo ◽  
Eliezer Masliah ◽  
Celine Lefebvre
Keyword(s):  
Gene Expression ◽  
White Matter ◽  
Hiv Infection ◽  
Immune Activation ◽  
Tissue Injury ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Distinct Pattern ◽  
Gene Set Enrichment Analysis ◽  
Hiv Encephalitis

AbstractTo provide new insight into the pathogenesis of neurocognitive impairments (NCI) in HIV infection, we used the Gene Set Enrichment Analysis (GSEA) algorithm to analyze pathway dysregulations in gene expression profiles of HIV-infected patients with or without NCI and HIV encephalitis (HIVE). While HIVE was characterized by widespread inflammation and tissue damage, gene expression evidence of induction of interferon (IFN), cytokines and tissue injury was apparent in all brain regions studied before the emergence of NCI. Various degrees of white matter changes were present in all HIV-infected subjects and were the primary manifestation in patients with NCI in the absence of HIVE. The latter showed a distinct pattern of immune activation with induction of chemokines, cytokines, β-defensins, and limited IFN induction.Altogether results indicate that significant neuroinflammation and neuronal suffering precede NCI. Patients with NCI without HIVE showed a predominantly white matter dysfunction with a distinct pattern of immune activation.

scholarly journals Moderate alcohol consumption alters both leucocyte gene expression profiles and circulating proteins related to immune response and lipid metabolism in men

2011 ◽  
Vol 108 (4) ◽  
pp. 620-627 ◽  
Author(s):  
Michel M. Joosten ◽  
Marjan J. van Erk ◽  
Linette Pellis ◽  
Renger F. Witkamp ◽  
Henk F. J. Hendriks
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Lipid Metabolism ◽  
Alcohol Consumption ◽  
Orange Juice ◽  
Large Scale ◽  
Disease Risk ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Moderate Alcohol Consumption

Moderate alcohol consumption has various effects on immune and inflammatory processes, which could accumulatively modulate chronic disease risk. So far, no comprehensive, integrative profiling has been performed to investigate the effects of longer-term alcohol consumption. Therefore, we studied the effects of alcohol consumption on gene expression patterns using large-scale profiling of whole-genome transcriptomics in blood cells and on a number of proteins in blood. In a randomised, open-label, cross-over trial, twenty-four young, normal-weight men consumed 100 ml vodka (30 g alcohol) with 200 ml orange juice or only orange juice daily during dinner for 4 weeks. After each period, blood was sampled for measuring gene expression and selected proteins. Pathway analysis of 345 down-regulated and 455 up-regulated genes revealed effects of alcohol consumption on various signalling responses, immune processes and lipid metabolism. Among the signalling processes, the most prominently changed was glucocorticoid receptor signalling. A network on immune response showed a down-regulated NF-κB gene expression together with increased plasma adiponectin and decreased pro-inflammatory IL-1 receptor antagonist and IL-18, and acute-phase proteins ferritin and α1-antitrypsin concentrations (all P < 0·05) after alcohol consumption. Furthermore, a network of gene expression changes related to lipid metabolism was observed, with a central role for PPARα which was supported by increased HDL-cholesterol and several apo concentrations (all P < 0·05) after alcohol consumption. In conclusion, an integrated approach of profiling both genes and proteins in blood showed that 4 weeks of moderate alcohol consumption altered immune responses and lipid metabolism.

scholarly journals Construction of a novel immune gene-based model for prognosis prediction of colorectal cancer

2021 ◽  
Author(s):  
Bin Xie ◽  
jie lin
Keyword(s):  
Gene Expression ◽  
Cox Regression ◽  
Expression Profiles ◽  
Colon Adenocarcinoma ◽  
Gene Set Enrichment Analysis ◽  
Immune Gene ◽  
Prognostic Signature ◽  
Cox Regression Analysis ◽  
Risk Of Death ◽  
Immune Related Genes

Abstract Background Colon adenocarcinoma (COAD) is the third leading cause of cancer-related death. Although surgical treatment and chemotherapy of COAD have made significant progress, its immunotherapy also has great potential, nowadays. Methods Gene expression profiles and clinical data of COAD patients were obtained from The Cancer Genome Atlas_Colon Adenocarcinoma (TCGA_COAD) and Gene Expression Omnibus (GEO) databases, which were further detected for immune-related genes. Immune-related genes were downloaded from Immunology Database and Analysis Portal (ImmPort). LASSO Cox regression analysis was utilized to analyze the immune-related prognostic signature. The prognostic value of the signature was validated by ROC curve. To further detected the potential pathway about immune-related genes in COAD patients, Gene Set Enrichment Analysis (GESA) was used to identify the most significant pathways. Results Finally, a total of 436 immune-related mRNA were identified. Eleven prognosis-related genes were selected to establish an immune-related prognostic signature, which divided patients into high and low risk groups. Several biological processes, such as immune response was enriched. Moreover, our prognosis model has better performance in predicting the 1-, 3-, 5- and 8-years overall survival (OS) for patients from the TCGA and GEO cohort. Also, the complicated signature obtained by combining immune-related signatures with clinical factors provides a more accurate OS predicting compared with individual molecular signatures. Conclusion We have established a prognostic signature consisting of 11 immune-related genes, which may be potential biomarkers for identifying COAD with a high risk of death. Then, the possibility including immunotherapy in personalized COAD treatment was evaluated.

scholarly journals Modulation of the immune system during postpartum uterine inflammation

2015 ◽  
Vol 47 (4) ◽  
pp. 89-101 ◽  
Author(s):  
Caroline G. Walker ◽  
Susanne Meier ◽  
Hassan Hussein ◽  
Scott McDougall ◽  
Chris R. Burke ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Immune Response ◽  
Multiple Testing ◽  
Expression Profiles ◽  
Gene Set Enrichment Analysis ◽  
Immune Response Gene ◽  
Multiple Testing Correction ◽  
Uterine Inflammation ◽  
Subclinical Endometritis

Postpartum uterine inflammation (endometritis) in the dairy cow is associated with lower fertility at both the time of infection and after the inflammation has resolved. We hypothesized that aberrant DNA methylation may be involved in the subfertility associated with uterine inflammation. The objective of this study was to characterize genome-wide DNA methylation and gene expression in the endometrium of dairy cows with subclinical endometritis (SCE). Endometrial tissues were obtained at 29 days postpartum ( n = 12), and microarrays were used to characterize transcription and DNA methylation. Analyses revealed 1,856 probes differentially expressed in animals with SCE ( n = 6) compared with controls (CON, n = 6, P < 0.05, Storey Multiple testing correction) and 2,976 probes with significant correlation between gene expression and bacteriology score. No significant associations among DNA methylation and gene expression were detected. Analysis of transcription data using the Database for Annotation, Visualization, and Integrated Discovery and Gene Set Enrichment Analysis identified several pathways and processes enriched in SCE cows, with the majority related to the immune response. Furthermore, the top ontology terms enriched in genes that had expression data correlated to bacteriology score were: Defense response, inflammatory response, and innate immune response. Gene expression profiles in cows with subclinical endometritis in this study indicate that the immune response is activated, potentially resulting in a local proinflammatory environment in the uterus. If this period of inflammation is prolonged it could result in tissue damage or failure to complete involution of the uterus, which may create a suboptimal environment for future pregnancy.

Identifying biomarkers to guide immunotherapy treatment of cancer of unknown primary.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15252-e15252
Author(s):  
Linda R. Mileshkin ◽  
Atara Posner ◽  
Andrew Pattison ◽  
Shiva Balachander ◽  
Dariush Etemadmoghadam ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Metastatic Cancer ◽  
Expression Patterns ◽  
Genomic Data ◽  
Cancer Of Unknown Primary ◽  
Immune Response Gene ◽  
Current Evidence ◽  
Unknown Primary ◽  
Immune Gene

e15252 Background: Cancer of unknown primary (CUP) is a metastatic cancer where the primary tissue of origin (ToO) evades detection despite extensive clinical investigation. Recent approaches to the management of CUP have involved gene-expression profiling to resolve the likely ToO and mutational profiling to identify targeted treatments. Current evidence is that both of these methods can have some clinical benefit but only in a minority of cases. Immunotherapy may also be effective in CUP, but clinical trials looking at this are yet to report and the best way to select patients who may benefit is uncertain. Methods: Through a national cohort study called Solving Unknown Primary Cancer (SUPER), 245 CUP patients had molecular profiling performed and clinical follow-up. Variant detection from DNA sequencing using a targeted panel of 386 genes (SureSelect Agilent) was used to calculate tumour mutation burden (TMB). Additionally, a custom gene expression assay including 225 genes associated with ToO and 35 immune genes (SUPERDx, nCounter NanoString) was used to classify the likely ToO and immune profile the tumours. We used the genomic data from 217 of these patients to explore interdependencies between immune gene-expression patterns and TMB. We also retrospectively reviewed the outcomes of patients treated with anti-PD1/PD-L1 immune checkpoint inhibition (ICI) therapy in whom genomic data was available. Results: TMB was weakly correlated with a gene-expression score for immune response (IR) based on averaged z-score values of six genes (CD8A, IFNG, PRF1, PD-L1, GZMA, GZMB) (Spearman rho = 0.21) with many outliers exhibiting low TMB but high IR scores. Among twenty patients treated with ICIs, with both molecular data and response data available, 6 had a partial response (PR), 5 had stable disease (SD) and 9 had progressive disease (PD). We found that an elevated IR score was more predictive of ICI response than TMB. Most patients with either PR or SD to ICI treatment had a high IR score (9/10), and most patients with PD had low IR scores. However, only 3/10 patients with TMB available and a PR or SD had a high TMB ( > 10). Conclusions: Our results demonstrate that ICI therapy may benefit some CUP patients and that an immune response gene-expression scoremay predict ICI treatment response.

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