IDO1 as a new immune biomarker for diabetic nephropathy and its correlation with immune cell infiltration

Abstract BackgroundIncreasing evidence suggests that immune cell infiltration contributes to the pathogenesis and progression of diabetic nephropathy (DN). We aim to unveil the immune infiltration pattern in the glomerulus of DN and provide potential targets for immunotherapy. MethodsInfiltrating percentage of 22 types of immune cell in the glomerulus tissues were estimated by the CIBERSORT algorithm based on three transcriptome datasets mined from the GEO database. Differentially expressed genes (DEGs) were identified by the “limma” package. Then immune-related DEGs were identified by intersecting DEGs with immune-related genes (downloaded from Immport database). The protein-protein interactions of Immune-related DEGs were explored using the STRING database and visualized by Cytoscape. The enrichment analyses for KEGG pathways and GO terms were carried out by the gene set enrichment analysis (GSEA) method. Results9 types of immune cell were revealed to be significantly altered in the glomerulus tissues of DN (Up: B cells memory, T cells CD4 naive, Macrophages M2, Dendritic cells resting, Mast cells resting, Mast cells activated; Down: NK cells resting, Monocytes, Neutrophils). Correlation analysis revealed that immune infiltration act as a complicated and tightly regulated network, among which T cells gamma delta and T cells CD4 naive show the most synergistic effect (r = 0.58, p ＜ 0.001); meanwhile, T cells CD8 and T cells CD4 memory resting show the most competitive effect (r = - 0.67, p ＜ 0.001). Several pathways related to immune were significantly activated. Moreover, 6 hub genes with a medium to strong correlation with renal function (eGFR) were identified (ALB, EGF, FOS, CXCR1, CXCR2, CCL2). ConclusionIn the glomerulus of DN, the immune infiltration pattern changed significantly. A complicated and tightly regulated network of immune cells exists in the pathological of DN. The hub genes identified here will facilitate the development of immunotherapy.

Download Full-text

WISP1 modulates immune cell infiltration upon drug-induced liver injury (DILI)

Zeitschrift für Gastroenterologie ◽

10.1055/s-0035-1567970 ◽

2015 ◽

Vol 53 (12) ◽

Author(s):

AB Widera ◽

L Pütter ◽

S Leserer ◽

G Campos ◽

K Rochlitz ◽

...

Keyword(s):

Liver Injury ◽

Immune Cell ◽

Cell Infiltration ◽

Immune Cell Infiltration ◽

Drug Induced ◽

Drug Induced Liver Injury

Download Full-text

Faculty Opinions recommendation of Human breast cancer invasion and aggression correlates with ECM stiffening and immune cell infiltration.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.725485692.793517744 ◽

2016 ◽

Author(s):

Paul Timpson ◽

Claire Vennin

Keyword(s):

Breast Cancer ◽

Human Breast Cancer ◽

Immune Cell ◽

Cancer Invasion ◽

Cell Infiltration ◽

Immune Cell Infiltration ◽

Human Breast ◽

Breast Cancer Invasion

Download Full-text

Identification of Potential Therapeutic Targets and Immune Cell Infiltration Characteristics in Osteosarcoma Using Bioinformatics Strategy

Frontiers in Oncology ◽

10.3389/fonc.2020.01628 ◽

2020 ◽

Vol 10 ◽

Author(s):

Jianfang Niu ◽

Taiqiang Yan ◽

Wei Guo ◽

Wei Wang ◽

Zhiqing Zhao ◽

...

Keyword(s):

Immune Cell ◽

Therapeutic Targets ◽

Cell Infiltration ◽

Immune Cell Infiltration

Download Full-text

SFTPA1 is a potential prognostic biomarker correlated with immune cell infiltration and response to immunotherapy in lung adenocarcinoma

Cancer Immunology Immunotherapy ◽

10.1007/s00262-021-02995-4 ◽

2021 ◽

Author(s):

Lu Yuan ◽

Xixi Wu ◽

Longshan Zhang ◽

Mi Yang ◽

Xiaoqing Wang ◽

...

Keyword(s):

Lung Cancer ◽

T Cells ◽

Lung Adenocarcinoma ◽

Expression Profile ◽

Immune Cell ◽

Cell Infiltration ◽

Immune Cell Infiltration ◽

Regulatory Pathways ◽

Chronic Lung Diseases ◽

Potential Biomarker

AbstractPulmonary surfactant protein A1 (SFTPA1) is a member of the C-type lectin subfamily that plays a critical role in maintaining lung tissue homeostasis and the innate immune response. SFTPA1 disruption can cause several acute or chronic lung diseases, including lung cancer. However, little research has been performed to associate SFTPA1 with immune cell infiltration and the response to immunotherapy in lung cancer. The findings of our study describe the SFTPA1 expression profile in multiple databases and was validated in BALB/c mice, human tumor tissues, and paired normal tissues using an immunohistochemistry assay. High SFTPA1 mRNA expression was associated with a favorable prognosis through a survival analysis in lung adenocarcinoma (LUAD) samples from TCGA. Further GeneOntology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses showed that SFTPA1 was involved in the toll-like receptor signaling pathway. An immune infiltration analysis clarified that high SFTPA1 expression was associated with an increased number of M1 macrophages, CD8+ T cells, memory activated CD4+ T cells, regulatory T cells, as well as a reduced number of M2 macrophages. Our clinical data suggest that SFTPA1 may serve as a biomarker for predicting a favorable response to immunotherapy for patients with LUAD. Collectively, our study extends the expression profile and potential regulatory pathways of SFTPA1 and may provide a potential biomarker for establishing novel preventive and therapeutic strategies for lung adenocarcinoma.

Download Full-text

Enhanced CD4+ and CD8+ T cell infiltrate within convex hull defined pancreatic islet borders as autoimmune diabetes progresses

Scientific Reports ◽

10.1038/s41598-021-96327-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Alexander J. Dwyer ◽

Jacob M. Ritz ◽

Jason S. Mitchell ◽

Tijana Martinov ◽

Mohannad Alkhatib ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Convex Hull ◽

Pancreatic Islets ◽

Immune Cell ◽

Nod Mice ◽

Cell Infiltration ◽

Immune Cell Infiltration ◽

Analytical Strategy ◽

Islet Mass

AbstractThe notion that T cell insulitis increases as type 1 diabetes (T1D) develops is unsurprising, however, the quantitative analysis of CD4+ and CD8+ T cells within the islet mass is complex and limited with standard approaches. Optical microscopy is an important and widely used method to evaluate immune cell infiltration into pancreatic islets of Langerhans for the study of disease progression or therapeutic efficacy in murine T1D. However, the accuracy of this approach is often limited by subjective and potentially biased qualitative assessment of immune cell subsets. In addition, attempts at quantitative measurements require significant time for manual analysis and often involve sophisticated and expensive imaging software. In this study, we developed and illustrate here a streamlined analytical strategy for the rapid, automated and unbiased investigation of islet area and immune cell infiltration within (insulitis) and around (peri-insulitis) pancreatic islets. To this end, we demonstrate swift and accurate detection of islet borders by modeling cross-sectional islet areas with convex polygons (convex hulls) surrounding islet-associated insulin-producing β cell and glucagon-producing α cell fluorescent signals. To accomplish this, we used a macro produced with the freeware software ImageJ equipped with the Fiji Is Just ImageJ (FIJI) image processing package. Our image analysis procedure allows for direct quantification and statistical determination of islet area and infiltration in a reproducible manner, with location-specific data that more accurately reflect islet areas as insulitis proceeds throughout T1D. Using this approach, we quantified the islet area infiltrated with CD4+ and CD8+ T cells allowing statistical comparison between different age groups of non-obese diabetic (NOD) mice progressing towards T1D. We found significantly more CD4+ and CD8+ T cells infiltrating the convex hull-defined islet mass of 13-week-old non-diabetic and 17-week-old diabetic NOD mice compared to 4-week-old NOD mice. We also determined a significant and measurable loss of islet mass in mice that developed T1D. This approach will be helpful for the location-dependent quantitative calculation of islet mass and cellular infiltration during T1D pathogenesis and can be combined with other markers of inflammation or activation in future studies.

Download Full-text