Blood Gene Expression Profiles Research Articles

Abstract WP223: Identification Of Cerebral Amyloid Angiopathy With A Leukocyte Gene Expression Profile

Introduction: Cerebral amyloid angiopathy (CAA) is a cerebral small vessel disease featuring beta-amyloid deposits within the cerebral vasculature. It is a major cause of cognitive decline and intracerebral hemorrhage in the elderly. This study evaluated whether gene expression profiles in peripheral blood can differentiate patients with CAA from vascular risk factor and healthy controls. Methods: In 27 patients with CAA blood cell gene expression was compared to 55 controls. Total RNA was isolated from PAXgene tubes and measured by RNA sequencing. Differentially expressed genes between CAA and controls were identified by ANOVA adjusting for age and sex. Functional pathway analysis identified pathways associated with CAA. A prediction model to distinguish CAA from controls was developed using linear discriminant analysis with feature selection by forward selection. Model performance was evaluated by 10-fold leave-one-out cross validation. Results: 686 differentially expressed genes were identified (p<0.05, fold change >|1.2|), of interest ADAM15, CAMK1D, CAP1 and TGFB1 . Canonical pathway analysis identified cell movement of phagocytes, activation of phagocytes, CREB, degranulation of leukocytes, immune response of cells, inflammatory response, and IL-23 signaling. A 24 gene panel differentiated patients with CAA from controls with >95% sensitivity and specificity. The identified genes reveal differences in immune system regulation in patients with CAA compared to vascular risk factor and healthy control patients. Differences identified include a potential shift in beta-amyloid uptake by phagocytes ( TGFB1, CREB, CAMK1D ), an increase in vascular extracellular matrix disruption ( ADAM15, CAP1 ), and a possible alteration in amyloid precursor processing ( BRI3BP, SORCS3 ). Conclusion: Differences in peripheral leukocyte gene expression are present in patients with CAA compared to control patients. These relate to differences in immune activation and signaling associated with CAA. The differences in blood cell gene expression shows promise to distinguish CAA from controls, though further evaluation in larger cohorts is required to further evaluate potential diagnostic utility of this gene expression profile.

Whole-Blood Gene Expression Profiles Associated with Mortality in Community-Acquired Pneumonia

(1) Background: Information regarding gene expression profiles and the prognosis of community-acquired pneumonia (CAP) is scarce. We aimed to examine the differences in the gene expression profiles in peripheral blood at hospital admission between patients with CAP who died during hospitalization and those who survived. (2) Methods: This is a multicenter study of nonimmunosuppressed adult patients who required hospitalization for CAP. Whole blood samples were obtained within 24 h of admission for genome-expression-profile analysis. Gene expression profiling identified both differentially expressed genes and enriched gene sets. (3) Results: A total of 198 samples from adult patients who required hospitalization for CAP were processed, of which 13 were from patients who died. Comparison of gene expression between patients who died and those who survived yielded 49 differentially expressed genes, 36 of which were upregulated and 13 downregulated. Gene set enrichment analysis (GSEA) identified four positively enriched gene sets in survivors, mainly associated with the interferon-alpha response, apoptosis, and sex hormone pathways. Similarly, GSEA identified seven positively enriched gene sets, associated with the oxidative stress, endoplasmic reticulum stress, oxidative phosphorylation, and angiogenesis pathways, in the patients who died. Protein-protein-interaction-network analysis identified FOS, CDC42, SLC26A10, EIF4G2, CCND3, ASXL1, UBE2S, and AURKA as the main gene hubs. (4) Conclusions: We found differences in gene expression profiles at hospital admission between CAP patients who died and those who survived. Our findings may help to identify novel candidate pathways and targets for potential intervention and biomarkers for risk stratification.

Peripheral Blood Genes Crosstalk between COVID-19 and Sepsis.

Severe coronavirus disease 2019 (COVID-19) has led to a rapid increase in death rates all over the world. Sepsis is a life-threatening disease associated with a dysregulated host immune response. It has been shown that COVID-19 shares many similarities with sepsis in many aspects. However, the molecular mechanisms underlying sepsis and COVID-19 are not well understood. The aim of this study was to identify common transcriptional signatures, regulators, and pathways between COVID-19 and sepsis, which may provide a new direction for the treatment of COVID-19 and sepsis. First, COVID-19 blood gene expression profile (GSE179850) data and sepsis blood expression profile (GSE134347) data were obtained from GEO. Then, we intersected the differentially expressed genes (DEG) from these two datasets to obtain common DEGs. Finally, the common DEGs were used for functional enrichment analysis, transcription factor and miRNA prediction, pathway analysis, and candidate drug analysis. A total of 307 common DEGs were identified between the sepsis and COVID-19 datasets. Protein-protein interactions (PPIs) were constructed using the STRING database. Subsequently, hub genes were identified based on PPI networks. In addition, we performed GO functional analysis and KEGG pathway analysis of common DEGs, and found a common association between sepsis and COVID-19. Finally, we identified transcription factor-gene interaction, DEGs-miRNA co-regulatory networks, and protein-drug interaction, respectively. Through ROC analysis, we identified 10 central hub genes as potential biomarkers. In this study, we identified SARS-CoV-2 infection as a high risk factor for sepsis. Our study may provide a potential therapeutic direction for the treatment of COVID-19 patients suffering from sepsis.

Systems analysis of human responses to an aluminium hydroxide-adsorbed TLR7 agonist (AS37) adjuvanted vaccine reveals a dose-dependent and specific activation of the interferon-mediated antiviral response.

The candidate Adjuvant System AS37 contains a synthetic toll-like receptor agonist (TLR7a) adsorbed to alum. In a phase I study (NCT02639351), healthy adults were randomised to receive one dose of licensed alum-adjuvanted meningococcal serogroup C (MenC-CRM197) conjugate vaccine (control) or MenC-CRM197 conjugate vaccine adjuvanted with AS37 (TLR7a dose 12.5, 25, 50 or 100µg). A subset of 66 participants consented to characterisation of peripheral whole blood transcriptomic responses, systemic cytokine/chemokine responses and multiple myeloid and lymphoid cell responses as exploratory study endpoints. Blood samples were collected pre-vaccination, 6 and 24h post-vaccination, and 3, 7, 28 and 180days post-vaccination. The gene expression profile in whole blood showed an early, AS37-specific transcriptome response that peaked at 24h, increased with TLR7a dose up to 50µg and generally resolved within one week. Five clusters of differentially expressed genes were identified, including those involved in the interferon-mediated antiviral response. Evaluation of 30 cytokines/chemokines by multiplex assay showed an increased level of interferon-induced chemokine CXCL10 (IP-10) at 24h and 3days post-vaccination in the AS37-adjuvanted vaccine groups. Increases in activated plasmacytoid dendritic cells (pDC) and intermediate monocytes were detected 3days post-vaccination in the AS37-adjuvanted vaccine groups. T follicular helper (Tfh) cells increased 7days post-vaccination and were maintained at 28days post-vaccination, particularly in the AS37-adjuvanted vaccine groups. Moreover, most of the subjects that received vaccine containing 25, 50 and 100µg TLR7a showed an increased MenC-specific memory B cell responses versus baseline. These data show that the adsorption of TLR7a to alum promotes an immune signature consistent with TLR7 engagement, with up-regulation of interferon-inducible genes, cytokines and frequency of activated pDC, intermediate monocytes, MenC-specific memory B cells and Tfh cells. TLR7a 25-50µg can be considered the optimal dose for AS37, particularly for the adjuvanted MenC-CRM197 conjugate vaccine.

Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods.

The rapid spread of COVID-19 has become a major concern for people's lives and health all around the world. COVID-19 patients in various phases and severity require individualized treatment given that different patients may develop different symptoms. We employed machine learning methods to discover biomarkers that may accurately classify COVID-19 in various disease states and severities in this study. The blood gene expression profiles from 50 COVID-19 patients without intensive care, 50 COVID-19 patients with intensive care, 10 non-COVID-19 individuals without intensive care, and 16 non-COVID-19 individuals with intensive care were analyzed. Boruta was first used to remove irrelevant gene features in the expression profiles, and then, the minimum redundancy maximum relevance was applied to sort the remaining features. The generated feature-ranked list was fed into the incremental feature selection method to discover the essential genes and build powerful classifiers. The molecular mechanism of some biomarker genes was addressed using recent studies, and biological functions enriched by essential genes were examined. Our findings imply that genes including UBE2C, PCLAF, CDK1, CCNB1, MND1, APOBEC3G, TRAF3IP3, CD48, and GZMA play key roles in defining the different states and severity of COVID-19. Thus, a new point of reference is provided for understanding the disease's etiology and facilitating a precise therapy.

Interferon-alpha2 Favorably Impacts Deregulated Atherosclerosis Genes in Polycythemia Vera and Related Neoplasms

Introduction: Chronic inflammation has been suggested to be the driving force for clonal evolution and disease progression in the Philadelphia-chromosome negative myeloproliferative neoplasms (MPNs) but also potentially having an impact upon the development of accelerated (premature) atherosclerosis, which is recorded in several other chronic inflammatory diseases. Using whole blood gene expression profiling, we have previously shown massive deregulation of genes involved in oxidative stress. Importantly, we have also reported these genes to be favorably regulated during treatment with interferon-alpha2 (IFN). Herein, we report the favorable regulation of deregulated atherosclerosis genes by IFN as well. Objectives: By whole blood gene expression profiling to investigate the regulation of atherosclerosis-promoting genes during treatment with IFN. Methods: Global gene expression profiling was performed at baseline and after 3 months of treatment with IFN in 8 patients with ET, 21 patients with PV, and 4 patients with PMF. Hydroxyurea (n = 18) or anagrelide (n = 6) were discontinued 1 week prior to enrollment. The Affymetrix HG-U133 2.0 Plus microarray was used to generate gene expression profiles. Total RNA was purified from whole blood, amplified to biotin-labeled aRNA, and hybridized to microarray chips. Data preprocessing and statistical analysis of microarray data were done in R. Results: Single gene analysis was performed on 84 genes represented on the Qiagen Human Atherosclerosis gene panel. In response to treatment with IFN in all three patient categories, 10 genes became upregulated in ET including ABCA1, BCL2, CCL2, CCR1, KLF2, LIF, SELL, TGFB1, RXRA, and VEGFA, and 8 genes became downregulated including APOE, BCL2L1, CD44, IL1A, IL1R1, IL1R2, LPA and SPP1. In PV patients, ABCA1, ADFP, BAX, BCL2, CCL1, CCR2, CCR2, CSF1, HBEGF, LIF, NR1H3, RXRA, SELL, TGFB1, TNFAIP3, TNF, and VEGFA were among the 17 upregulated genes, and CD44, CFLAR, IL1A, IL1R1, IL1R2, ITGAX, MMP1, and SPP1 among the 8 downregulated genes. In PMF, 5 genes became upregulated including ABCA1, BAX, CCL2, CCR1, and TNFAIP3, and 5 genes became downregulated including BCL2L1, IL1R1, IL1R2, ITGAX, and SPP1 (all P<0.05) (Table 1 and 2). In a previous microarray study comparing another cohort of patients with ET, PV, or PMF with healthy controls, we have shown significant downregulation of the atherosclerosis genes BCL2, CCR2, CFLAR, FAS, IL1A, ITGA5, KLF2, NFKB1, PPARA, and SELPLG, and significant upregulation of BCL2L1, COL3A1, ELN, FGA, FGF2, IL4, IL5, KDR, LIF, MMP1, PDGFA, PDGFB, PDGFRB, PTGS1, SERPINE1, TGFB2, and THBS4 in all three disease entities (FDR<0.05). Comparing 3 months IFN treatment with baseline in ET, PV and PMF, COL3A1, ELN, FAS, FGA, FGF2, IL4, IL5, ITGA5, KDR, NFKB1, PDGFA, PDGFB, PDGFRB, PPARA, PTSG1, SELPLG, SERPINE1, TGFB2 and THBS4 were not significantly deregulated in any of the disease entities. Furthermore, IFN upregulated downregulated atherosclerosis genes including BCL2 (ET, PV), CCR2 (PV), and KLF2 (ET) and downregulates upregulated atherosclerosis genes including BCL2L1 (ET, PMF) and MMP1 (PV). Discussion and conclusions: Atherosclerosis is a chronic inflammatory disease, which involves several circulating blood cells, including both leukocytes and platelets, which all are variably elevated in MPNs and normalized during IFN-treatment. Therefore, we speculated, if IFN might favorably impact deregulated atherosclerosis genes in patients with MPNs. Indeed, for the first time, we herein report that IFN impacts several atherosclerosis-promoting genes, including both significant upregulation and downregulation of key genes of importance during atherosclerosis development, plaque formation and rupture. Our results add novel important information in regard to the beneficial impact of IFN in regulating deregulated atherosclerosis-promoting genes of potential importance for the development of premature atherosclerosis and accordingly the heavy cardiovascular disease burden in MPNs. The significance of our observations in MPNs should be further explored and confirmed in other MPN-cohorts, including comparative studies of atherosclerosis gene signatures in atherosclerotic plaques from patients with and without MPNs being operated for occlusive vascular diseases and aneurysms. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

IMMU-20. MODULATION OF THE PERIPHERAL T CELL BIOLOGY IN GLIOBLASTOMA

Abstract Cancer is a systemic disease. Due to the exceedingly rare occurrence of metastasis of cerebral glioma, systemic alterations have, however, not been considered to play a major role in disease progression of glioma. T cells orchestrate the adaptive immune response in an antigen-specific, cytokine mediated manner. The aim of our study was to investigate how cerebral glioma impacts systemic T cell immunobiology. We performed gene expression profiling of peripheral blood T cells in patients with IDHwt glioblastomas as well as in a murine glioma model. In addition, we analyzed the levels of soluble immune biomarkers in patient blood and performed flow-cytometric phenotyping of human peripheral blood CD3+ T cells. We discovered a significant skewing of peripheral T cell phenotypes in IDHwt glioblastoma patients compared to healthy donors (HD), showing CD4+ TH1 expansion and reduced numbers of T follicular helper cells (TFH), TH1* and mucosa associated invariant T (MAIT) cells, while TH2 and TH17 percentages remained stable. Interestingly, peripheral memory CD4+ T cells exhibited reduced Fas and PD-1 expression, while CD8 T cells were primarily affected in the non-memory CD45RA+ compartment, displaying reduced numbers of CD8+ CD127+ CD27+ cells. Compared to healthy individuals, GBM patients had significantly increased levels of soluble CD27 while levels of soluble CD25 were reduced (p &amp;lt; 0.05). GSEA and ORA analysis of differentially expressed genes in murine gliomas showed alterations in RNA binding and processing, as well as ribosomal activity in both cell types, indicating systemic modulation in translational- and cell cycle pathways in glioblastoma. Taken together, our results demonstrate a significant skewing of the peripheral T immunobiology in patients with IDHwt gliomas. Our data highlights the importance of considering malignant glioma as a systemic disease that fundamentally alters the immune repertoire in affected patients.

Vaccination History, Body Mass Index, Age, and Baseline Gene Expression Predict Influenza Vaccination Outcomes.

Seasonal influenza is a primary public health burden in the USA and globally. Annual vaccination programs are designed on the basis of circulating influenza viral strains. However, the effectiveness of the seasonal influenza vaccine is highly variable between seasons and among individuals. A number of factors are known to influence vaccination effectiveness including age, sex, and comorbidities. Here, we sought to determine whether whole blood gene expression profiling prior to vaccination is informative about pre-existing immunological status and the immunological response to vaccine. We performed whole transcriptome analysis using RNA sequencing (RNAseq) of whole blood samples obtained prior to vaccination from 275 participants enrolled in an annual influenza vaccine trial. Serological status prior to vaccination and 28 days following vaccination was assessed using the hemagglutination inhibition assay (HAI) to define baseline immune status and the response to vaccination. We find evidence that genes with immunological functions are increased in expression in individuals with higher pre-existing immunity and in those individuals who mount a greater response to vaccination. Using a random forest model, we find that this set of genes can be used to predict vaccine response with a performance similar to a model that incorporates physiological and prior vaccination status alone. A model using both gene expression and physiological factors has the greatest predictive power demonstrating the potential utility of molecular profiling for enhancing prediction of vaccine response. Moreover, expression of genes that are associated with enhanced vaccination response may point to additional biological pathways that contribute to mounting a robust immunological response to the seasonal influenza vaccine.

A non-invasive piTreg-related gene signature for spontaneous tolerance in renal transplantation

BackgroundAchieving spontaneous tolerance is the optimal goal in renal transplantation (RT). However, robust biomarkers indicating spontaneous tolerance are still lacking for RT recipients in clinics. MethodsThe peripheral blood gene expression profiles of RT recipients in the state of tolerance and other conditions from four independent cohorts were collected in databases. Immune cell abundance assessment and single-cell analysis were utilized and the peripherally induced regulatory T cell (piTreg) subset was identified as the key cell subtype. Then, a piTreg-related gene set was identified by analyzing cell induction data. Subsequently, selected biomarkers were applied to the Elastic Net for signature construction. The diagnostic ability of the signature was validated in three independent cohorts (Microarray) and our clinical cohort (RT-qPCR). Additionally, time-course analyses during short-term and long-term periods after transplantation were performed to examine whether the gene signature was affected by the administration of immunosuppressive (IS) regimens. ResultsThe piTreg subset was found to possess the best discriminating ability in the peripheral blood for tolerance. After gene set identification and filtering, a two-gene piTreg-related gene signature was constructed in the training cohort (AUC = 0.830). The signature showed robust performance in three independent validation cohorts (AUC = 0.840, 0.826, and 0.859, respectively). The signature was also proved to be not affected by IS regimens in both short-term and long-term periods after RT. ConclusionsWe developed and validated a piTreg-related two-gene signature based on the peripheral blood for tolerance in RT recipients. The non-invasive signature offered a promising potential testing method for individualized immunosuppressant management and immunologic surveillance for RT recipients in clinics.

Differential expression and significance of peripheral blood genes in coronary artery heart disease.

BackgroundThe peripheral blood gene expression profile of patients with coronary artery disease (CAD) has not been fully resolved. The aim of this study was to further analyze the peripheral blood transcriptome information of CAD patients and to uncover key genes and regulatory mechanisms in the pathogenesis and disease progression of CAD.MethodsThe Gene Expression Omnibus (GEO) database was applied to screen out differentially expressed genes (DEGs) in the peripheral blood of CAD patients, and the DEGs were subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). The core genes were screened by GO, KEGG, and GSEA, and the gene-gene interaction (GGI) and protein-protein interaction (PPI) networks of DEGs were constructed. The GeneCards database was used to obtain CAD-related genes, and the GEO dataset was used to obtain intersecting genes. The intersecting genes were analyzed for bioenrichment and prediction of potential therapeutic agents, and predictive models were constructed for the intersecting genes. Finally, immune infiltrating cells from the GEO dataset were analyzed.ResultsA total of 79 DEGs were screened in the peripheral blood of CAD patients, of which three were autophagy-related genes. Biological enrichment analysis showed that the DEGs were associated with metabolic pathways, and vascular smooth muscle contraction and were mainly involved the MAPK signaling pathway, metabolic pathways, and the PI3K-Akt signaling pathway. The S100A8, ENTPD1, and MMP9 further screened were screened. A total of 11 CAD crossover genes and 75 potential therapeutic agents were obtained, and the column line graph prediction models constructed for S100A8, HSPB1, F5, MMP9, and PDE9A had good predictive power. There were significant differences in immune cells in CAD patients compared to healthy individuals, especially in T cells regulatory (Tregs) and B cells naïve.ConclusionsThe peripheral blood of CAD patients screened by the GEO dataset was significantly different from that of the healthy population, and the DEGs and intersecting genes were involved in numerous key biological processes that may be involved in the development and progression of CAD and could serve as its regulatory sites and therapeutic drug targets.

Interferon-alpha2 treatment of patients with polycythemia vera and related neoplasms favorably impacts deregulation of oxidative stress genes and antioxidative defense mechanisms.

Chronic inflammation is considered a major driving force for clonal expansion and evolution in the Philadelphia-negative myeloproliferative neoplasms, which include essential thrombocythemia, polycythemia vera and primary myelofibrosis (MPNs). One of the key mutation drivers is the JAK2V617F mutation, which has been shown to induce the generation of reactive oxygen species (ROS). Using whole blood gene expression profiling, deregulation of several oxidative stress and anti-oxidative defense genes has been identified in MPNs, including significant downregulation of TP53, the NFE2L2 or NRF2 genes. These genes have a major role for maintaining genomic stability, regulation of the oxidative stress response and in modulating migration or retention of hematopoietic stem cells. Therefore, their deregulation might give rise to increasing genomic instability, increased chronic inflammation and disease progression with egress of hematopoietic stem cells from the bone marrow to seed in the spleen, liver and elsewhere. Interferon-alpha2 (rIFNα) is increasingly being recognized as the drug of choice for the treatment of patients with MPNs. Herein, we report the first gene expression profiling study on the impact of rIFNα upon oxidative stress and antioxidative defense genes in patients with MPNs (n = 33), showing that rIFNα downregulates several upregulated oxidative stress genes and upregulates downregulated antioxidative defense genes. Treatment with rIFNα induced upregulation of 19 genes in ET and 29 genes in PV including CXCR4 and TP53. In conclusion, this rIFNα- mediated dampening of genotoxic damage to hematopoietic cells may ultimately diminish the risk of additional mutations and accordingly clonal evolution and disease progression towards myelofibrotic and leukemic transformation.

Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies

BackgroundInterstitial lung abnormalities (ILA) are radiologic findings that may progress to idiopathic pulmonary fibrosis (IPF). Blood gene expression profiles can predict IPF mortality, but whether these same genes associate with ILA and ILA outcomes is unknown. This study evaluated if a previously described blood gene expression profile associated with IPF mortality is associated with ILA and all-cause mortality.MethodsIn COPDGene and ECLIPSE study participants with visual scoring of ILA and gene expression data, we evaluated the association of a previously described IPF mortality score with ILA and mortality. We also trained a new ILA score, derived using genes from the IPF score, in a subset of COPDGene. We tested the association with ILA and mortality on the remainder of COPDGene and ECLIPSE.ResultsIn 1469 COPDGene (training n = 734; testing n = 735) and 571 ECLIPSE participants, the IPF score was not associated with ILA or mortality. However, an ILA score derived from IPF score genes was associated with ILA (meta-analysis of test datasets OR 1.4 [95% CI: 1.2–1.6]) and mortality (HR 1.25 [95% CI: 1.12–1.41]). Six of the 11 genes in the ILA score had discordant directions of effects compared to the IPF score. The ILA score partially mediated the effects of age on mortality (11.8% proportion mediated).ConclusionsAn ILA gene expression score, derived from IPF mortality-associated genes, identified genes with concordant and discordant effects on IPF mortality and ILA. These results suggest shared, and unique biologic processes, amongst those with ILA, IPF, aging, and death.

Interferon Alpha-Inducible Protein 27 Expression Is Linked to Disease Severity in Chronic Infection of Both HIV-1 and HIV-2

Disease progression is slower in HIV-2, as compared with HIV-1 infection, in accordance with low or undetectable plasma viremia at viral setpoint. However, it is unclear why most HIV-2 infected individuals are still at risk of developing AIDS. To explore if specific host responses are linked to HIV disease severity, we have compared blood gene expression profiles between HIV seronegative and HIV-1, HIV-2 or dually HIV-1/HIV-2 infected individuals. In this study the gene encoding Interferon alpha-inducible protein 27 (IFI27) was found to be the most differentially expressed. Detailed expression analysis revealed significantly higher IFI27 expression in HIV infected individuals compared with seronegative individuals, irrespectively of HIV type. Moreover, IFI27 expression was higher in HIV-1 than in HIV-2 infected individuals. Multiple linear regression analysis, adjusting for age and sex, showed also that plasma viral load was the strongest predictor of IFI27 expression, followed by CD4% and HIV type. In line with this, IFI27 expression was found to be higher in HIV-2 viremic, compared with HIV-2 aviremic individuals. Still, HIV-2 aviremic individuals displayed elevated IFI27 expression compared with seronegative individuals. Furthermore, in HIV-2 infected individuals, IFI27 expression was also correlated with plasma markers previously linked to inflammation and disease progression in HIV infection. Taken together, our findings suggest that sustained elevation of type I interferon signaling, here reflected by elevated IFI27 expression in the chronic infection phase, is a key pathogenic feature of both HIV-1 and HIV-2.

Risk factors, transcriptomics, and outcomes of myocardial injury following lower extremity revascularization

Myocardial injury after non-cardiac surgery (MINS) is common. We investigated the incidence and outcomes of MINS, and mechanistic underpinnings using pre-operative whole blood gene expression profiling in a prospective cohort study of individuals undergoing lower extremity revascularization (LER) for peripheral artery disease (PAD). Major adverse cardiovascular and limb events (MACLE) were defined as a composite of death, myocardial infarction, stroke, major lower extremity amputation or reoperation. Among 226 participants undergoing LER, MINS occurred in 53 (23.5%). Patients with MINS had a greater incidence of major adverse cardiovascular events (49.1% vs. 22.0%, adjusted HR 1.87, 95% CI 1.07–3.26) and MACLE (67.9% vs. 44.5%; adjusted HR 1.66, 95% CI 1.08–2.55) at median 20-month follow-up. Pre-operative whole blood transcriptome profiling of a nested matched MINS case–control cohort (n = 41) identified upregulation of pathways related to platelet alpha granules and coagulation in patients who subsequently developed MINS. Thrombospondin 1 (THBS1) mRNA expression was 60% higher at baseline in patients who later developed MINS, and was independently associated with long-term cardiovascular events in the Duke Catheterization Genetics biorepository cohort. In conclusion, pre-operative THBS1 mRNA expression is higher in patients who subsequently develop MINS and is associated with incident cardiovascular events. Pathways related to platelet activity and coagulation associated with MINS provide novel insights into mechanisms of myocardial injury.

Genome-Wide DNA Methylation and Its Effect on Gene Expression During Subclinical Mastitis in Water Buffalo.

Subclinical mastitis (SCM) in buffalo is one of the most challenging paradoxes for the dairy sector with very significant milk production losses and poses an imminent danger to milch animal’s milk-producing ability. We present here the genome-wide methylation specific to SCM in water buffalo and its consequential effect on the gene expression landscape for the first time. Whole-genome DNA methylation profiles from peripheral blood lymphocytes and gene expression profiles from milk somatic cells of healthy and SCM cases were catalogued from the MeDIP-Seq and RNA-Seq data. The average methylation in healthy buffaloes was found to be higher than that in the SCM-infected buffaloes. DNA methylation was abundant in the intergenic region followed by the intronic region in both healthy control and SCM groups. A total of 3,950 differentially methylated regions (DMRs) were identified and annotated to 370 differentially methylated genes (DMGs), most of which were enriched in the promoter region. Several important pathways were activated due to hypomethylation and belonged to the Staphylococcus aureus infection, Th17 cell differentiation, and antigen processing and presentation pathways along with others of defense responses. DNA methylome was compared with transcriptome to understand the regulatory role of DNA methylation on gene expression specific to SCM in buffaloes. A total of 4,778 significant differentially expressed genes (DEGs) were extracted in response to SCM, out of which 67 DMGs were also found to be differentially expressed, suggesting that during SCM, DNA methylation could be one of the epigenetic regulatory mechanisms of gene expression. Genes like CSF2RB, LOC102408349, C3 and PZP like, and CPAMD8 were found to be downregulated in our study, which are known to be involved in the immune response to SCM. Association of DNA methylation with transposable elements, miRNAs, and lncRNAs was also studied. The present study reports a buffalo SCM web resource (BSCM2TDb) available at http://webtom.cabgrid.res.in/BSCM2TDb that catalogues all the mastitis-related information of the analyses results of this study in a single place. This will be of immense use to buffalo researchers to understand the host–pathogen interaction involving SCM, which is required in endeavors of mastitis control and management.

Precision Medicine in Inflammatory Bowel Diseases: Challenges and Considerations for the Path Forward

Precision Medicine in Inflammatory Bowel Diseases: Challenges and Considerations for the Path Forward

Non-Invasive Monitoring for Rejection in Kidney Transplant Recipients After SARS-CoV-2 mRNA Vaccination.

IntroductionStudies have shown reduced antiviral responses in kidney transplant recipients (KTRs) following SARS-CoV-2 mRNA vaccination, but data on post-vaccination alloimmune responses and antiviral responses against the Delta (B.1.617.2) variant are limited.Materials and methodsTo address this issue, we conducted a prospective, multi-center study of 58 adult KTRs receiving mRNA-BNT162b2 or mRNA-1273 vaccines. We used multiple complementary non-invasive biomarkers for rejection monitoring including serum creatinine, proteinuria, donor-derived cell-free DNA, peripheral blood gene expression profile (PBGEP), urinary CXCL9 mRNA and de novo donor-specific antibodies (DSA). Secondary outcomes included development of anti-viral immune responses against the wild-type and Delta variant of SARS-CoV-2.ResultsAt a median of 85 days, no KTRs developed de novo DSAs and only one patient developed acute rejection following recent conversion to belatacept, which was associated with increased creatinine and urinary CXCL9 levels. During follow-up, there were no significant changes in proteinuria, donor-derived cell-free DNA levels or PBGEP. 36% of KTRs in our cohort developed anti-wild-type spike antibodies, 75% and 55% of whom had neutralizing responses against wild-type and Delta variants respectively. A cellular response against wild-type S1, measured by interferon-γ-ELISpot assay, developed in 38% of KTRs. Cellular responses did not differ in KTRs with or without antibody responses.ConclusionsSARS-CoV-2 mRNA vaccination in KTRs did not elicit a significant alloimmune response. About half of KTRs who develop anti-wild-type spike antibodies after two mRNA vaccine doses have neutralizing responses against the Delta variant. There was no association between anti-viral humoral and cellular responses.

The immunomodulatory effects of social isolation in mice are linked to temperature control

Living in isolation is considered an emerging societal problem that negatively affects the physical wellbeing of its sufferers in ways that we are just starting to appreciate. This study investigates the immunomodulatory effects of social isolation in mice, utilising a two-week program of sole cage occupancy followed by the testing of immune-inflammatory resilience to bacterial sepsis. Our results revealed that mice housed in social isolation showed an increased ability to clear bacterial infection compared to control socially housed animals. These effects were associated with specific changes in whole blood gene expression profile and an increased production of classical pro-inflammatory cytokines. Interestingly, equipping socially isolated mice with artificial nests as a substitute for their natural huddling behaviour reversed the increased resistance to bacterial sepsis. Together these results suggest that the control of body temperature through social housing and huddling behaviour are important factors in the regulation of the host immune response to infection in mice and might provide another example of the many ways by which living conditions influence immunity.

Peripheral blood gene expression profiling shows predictive significance for response to mycophenolate in systemic sclerosis-related interstitial lung disease

ObjectivesTo characterise the peripheral blood cell (PBC) gene expression changes ensuing from mycophenolate mofetil (MMF) or cyclophosphamide (CYC) treatment and to determine the predictive significance of baseline PBC transcript scores...

Blood and brain gene expression signatures of chronic intermittent ethanol consumption in mice.

Alcohol Use Disorder (AUD) is a chronic, relapsing syndrome diagnosed by a heterogeneous set of behavioral signs and symptoms. There are no laboratory tests that provide direct objective evidence for diagnosis. Microarray and RNA-Seq technologies enable genome-wide transcriptome profiling at low costs and provide an opportunity to identify biomarkers to facilitate diagnosis, prognosis, and treatment of patients. However, access to brain tissue in living patients is not possible. Blood contains cellular and extracellular RNAs that provide disease-relevant information for some brain diseases. We hypothesized that blood gene expression profiles can be used to diagnose AUD. We profiled brain (prefrontal cortex, amygdala, and hypothalamus) and blood gene expression levels in C57BL/6J mice using RNA-seq one week after chronic intermittent ethanol (CIE) exposure, a mouse model of alcohol dependence. We found a high degree of preservation (rho range: [0.50, 0.67]) between blood and brain transcript levels. There was small overlap between blood and brain DEGs, and considerable overlap of gene networks perturbed after CIE related to cell-cell signaling (e.g., GABA and glutamate receptor signaling), immune responses (e.g., antigen presentation), and protein processing / mitochondrial functioning (e.g., ubiquitination, oxidative phosphorylation). Blood gene expression data were used to train classifiers (logistic regression, random forest, and partial least squares discriminant analysis), which were highly accurate at predicting alcohol dependence status (maximum AUC: 90.1%). These results suggest that gene expression profiles from peripheral blood samples contain a biological signature of alcohol dependence that can discriminate between CIE and Air subjects.