Elucidating TREM2's Role in Proliferative Diabetic Retinopathy: A Transcriptomic Approach DOI Creative Commons

Qi Liu,

Ya-Ni Wu,

Wan-Zhao Yi

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 12, 2024

Abstract Background Proliferative diabetic retinopathy (PDR) is a leading cause of vision loss in patients. This study aims to identify novel biomarkers for PDR progression using next-generation sequencing (NGS) transcriptome analysis. Methods We conducted weighted gene co-expression network analysis (WGCNA) on RNA-seq data from 43 post-mortem donor retinas key modules associated with (DR) stages. Differential expression was performed transcriptomes patients and healthy controls. Protein levels retinal tissues streptozotocin (STZ)-induced mouse model were validated immunofluorescence Western blot analyses. Results WGCNA identified the "MEyellow" module, comprising 231 genes, as significantly PDR. Intersection differentially expressed genes revealed 29 common both datasets. Gene ontology (GO) highlighted biological significance these particularly TREM2. Immunofluorescence analyses confirmed upregulation TREM2 microglial marker IBA-1 STZ-induced mice, corroborating its critical role. Conclusions implicated pathogenesis PDR, underscoring potential therapeutic target mitigate disease progression.

Language: Английский

NBAtlas: A harmonized single-cell transcriptomic reference atlas of human neuroblastoma tumors DOI Creative Commons
Noah Bonine, Vittorio Zanzani, Annelies Van Hemelryk

et al.

Cell Reports, Journal Year: 2024, Volume and Issue: 43(10), P. 114804 - 114804

Published: Oct. 1, 2024

Language: Английский

Citations

1
Association of Sympathovagal Imbalance with Increased Inflammation and Impaired Adaptive Immunity in Bladder Cancer Patients DOI Open Access
Iveta Mikolášková, Milan Zvarík,

Kinga Szabóová

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(23), P. 12765 - 12765

Published: Nov. 27, 2024

Stress responses can impact bladder cancer (BC) outcomes via immune–inflammatory pathway modulation. This study explores heart rate variability (HRV) associations with serum biomarkers, blood count inflammatory markers, and psychosocial self-report measures in patients versus healthy controls. The TREM-1 TREM-2 expressions on peripheral monocytes were analysed flow cytometry; biomarkers by ELISA; HRV (5-min ECG) pre-tumour resection; counts haematology analyser; factors validated questionnaires. Patients exhibited altered profiles increased TREM-1/TREM-2, sTREM-1, sTREM-1/sTREM-2 ratio, BDNF, MCP-1, NLR, reduced IFN-γ, IL-10, LMR, PMR. analysis indicated sympathetic dominance (SNS, indices, ACmod) parasympathetic modulation (PNS index, SDNN, RMSSD, 2UV%, DCmod, SD1). Sympathetic indices correlated positively fractalkine, markers (SII, PLR) negatively indices—correlations absent Only patients, physical function social support, higher anxiety, depression, fatigue, associated markers. links parameters, BC, suggesting that immune autonomic variations may relate to unfavourable outcomes. Incorporating these assessments could help tailor more personalised treatment strategies for BC patients.

Language: Английский

Citations

1
Single-Cell RNA Sequencing Identifies Crucial Genes Influencing the Polarization of Tumor-Associated Macrophages in Liver Cancer DOI Creative Commons
Kedong Xu, M. Y. Dong,

Zhengqiang Wu

et al.

International Journal of Genomics, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 13

Published: May 25, 2024

Background . In the context of hepatocellular carcinoma (HCC), tumor-associated macrophages (TAMs) are pivotal for immunosuppressive nature tumor microenvironment (TME). This investigation delves into functional transformations TAMs within TME by leveraging single-cell transcriptomics to pinpoint critical genes influencing TAM subset polarization. Methods We procured and bulk transcriptomic data from Gene Expression Omnibus (GEO) The Cancer Genome Atlas (TCGA), implementing quality assurance, dimensional reduction, clustering, annotation on sequencing data. To examine cellular interactions, CellChat was utilized, while regulatory network inference clustering (SCENIC) applied deduce transcription factors (TFs) their associated targets. Through gene enrichment, survival, immune infiltration correlation analyses, we sought validate influential genes. A model under HCC conditions then established confirm expression levels these key Results Our analysis encompassed 74,742 cells 23,110 postdimensional reduction identified seven distinct cell types nine subtypes. Analysis via highlighted a predominance M2-phenotype-inclined subsets tumor’s core. SCENIC pinpointed factor PRDM1 its target as in this region. Further indicated genes’ involvement macrophage Employing trajectory analysis, survival correlation, scrutinized validated likely directing M2 Experimental validation confirmed PRDM1’s heightened conditioned HCC. Conclusions findings suggest is regulator polarization, contributing

Language: Английский

Citations

0
Mapping myeloid cell function: Spatial diversity in tumor and neuronal microenvironment DOI
Giulia Villa, Daniel Delev, Dieter Henrik Heiland

et al.

Cancer Cell, Journal Year: 2024, Volume and Issue: 42(6), P. 934 - 936

Published: June 1, 2024

Language: Английский

Citations

0
Elucidating TREM2's Role in Proliferative Diabetic Retinopathy: A Transcriptomic Approach DOI Creative Commons

Qi Liu,

Ya-Ni Wu,

Wan-Zhao Yi

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 12, 2024

Abstract Background Proliferative diabetic retinopathy (PDR) is a leading cause of vision loss in patients. This study aims to identify novel biomarkers for PDR progression using next-generation sequencing (NGS) transcriptome analysis. Methods We conducted weighted gene co-expression network analysis (WGCNA) on RNA-seq data from 43 post-mortem donor retinas key modules associated with (DR) stages. Differential expression was performed transcriptomes patients and healthy controls. Protein levels retinal tissues streptozotocin (STZ)-induced mouse model were validated immunofluorescence Western blot analyses. Results WGCNA identified the "MEyellow" module, comprising 231 genes, as significantly PDR. Intersection differentially expressed genes revealed 29 common both datasets. Gene ontology (GO) highlighted biological significance these particularly TREM2. Immunofluorescence analyses confirmed upregulation TREM2 microglial marker IBA-1 STZ-induced mice, corroborating its critical role. Conclusions implicated pathogenesis PDR, underscoring potential therapeutic target mitigate disease progression.

Language: Английский

Citations

0