Systems immunology for systemic sclerosis (SSc): assessment of innate immune memory and immune aging as basis for individualised prevention and treatment modalities in SSc

SysScleRO – Grant ID: PNRR-III-C9-2023-I8, CF 82 / 31.07.2023

About this project

Hypothesis

Systemic sclerosis (SSc) is a progressive debilitating and life-altering connective tissue
disease with a pathogenesis that involves a complex interplay between microangiopathy, immun
dysfunction and fibrosis, leading to various and heterogenous disease manifestations that warrant a personalized therapeutic approach. However, current treatment guidelines primarly focus on symptomatic treatment based on disease subsets and type of internal organ involvement, rather than addressing the predominant underlying pathogenic mechanisms of action. Several reports suggest that innate immunity modulates SSc pathophysiology from an early stage of the disease, leading to fibroblast activation and subsequent fibrosis. Long-term innate immune memory (Trained immunity – TI) was also suggested to play a role in SSc. Moreover, immune aging (IA) research has identified shared features between immunological aging and cellular phenotype in SSc, including a single-cell RNA-sequencing based senescence signature in skin fibroblasts of SSc patients. We propose that innate immunological reprogramming takes place in the circulating cells/fibroblasts of SSc patients. This process may contribute to immune aging through the release of inflammatory factors and could alter tissue and organ homeostasis. This disruption could aggravate the immune dysregulation and SSc-related end-organ complications.

Objectives

The overall aim of this project is to implement a systems biology approach to describe immune responses and immunological memory in patients with SSc and to assess whether this contributes to an accelerated aging phenotype in blood cells and fibroblasts leading to to
proinflammatory and pro-fibrotic processes. SysScleRO will combine advanced molecular methodologies and bring together the teams that can assess and integrate these mechanisms to generate feasible options for precision medicine and therapeutics.
1. Perform systematic analysis, in cross-sectional and prospective design, in PBMCs and in skin-derived fibroblasts, to describe trained immunity (maladaptive persistent proinflammatory responses, metabolic and transcriptional rewiring, epigenetic changes, all influenceble by genetics).
2. Functional and genetic assays to determine markers associated to inflammaging and/or immune senescence and calculate biological scores of age acceleration in immune cells and skin fibroblasts.
3. Multi-omic data integration to understand interindividual variation and the interaction between molecular layers that control the interplay between trained immunity and immunological aging in SSc.

Types of data

Cytokine production from stimulated PBMCs, serum proteomics, serum metabolomics, DNA methylation, CHIP mutations, long non-coding RNA sequencing, telomere length analysis, SNP array.

Teams

Our research team at the Medical Genetics Department of UMF Cluj-Napoca studies the mechanisms of inflammatory diseases and their interrelationship with individual genetic susceptibility factors. We are curious how the variance in our genome or epigenome can alter the immunological processes and cause inflammatory disease. We assess immunological functions of primary cells in patient cohorts and in controls and we use multi-omics to assess the different molecular layers that can contribute to inflammatory dysregulation. Currently, we are investigating the mechanisms of immune memory associated to long term proinflammatory effects and accelerated immunological aging in gout, hyperuricemia, systemic sclerosis and other autoinflammatory and autoimmune disorders.

Craiova Human genomics

Cluj Functional Genomics

Cluj Medical Genetics

Cluj Rheumatology

Cluj Infectious Diseases

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