Senescence-related genes are associated with the immunopathology signature of American Tegumentary Leishmaniasis lesions and may predict progression to mucosal leishmaniasis.

IF 3.4 3区 医学 Q3 IMMUNOLOGY
Carlos Henrique Fantecelle, Luciana Polaco Covre, Paola Oliveira Lopes, Isabela Valim Sarmento, Debora Decote-Ricardo, Celio Geraldo Freire de Lima, Herbert Leonel de Matos Guedes, Maria Inês Fernandes Pimentel, Fatima Conceição-Silva, Ana C Maretti-Mira, Valéria M Borges, Lucas Pedreira de Carvalho, Edgar M de Carvalho, David Mosser, Aloisio Falqueto, Arne N Akbar, Daniel Claudio Oliveira Gomes
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Abstract

The American Tegumentary Leishmaniasis (ATL) is caused by protozoans of the genus Leishmania and varies from mild localized cutaneous leishmaniasis (LCL) form to more severe manifestations such as the diffuse cutaneous leishmaniasis (DCL) form and the mucosal leishmaniasis (ML) form. Previously, we demonstrated the accumulation of senescent cells in skin lesions of patients with LCL. Moreover, lesional transcriptomic analyses revealed a robust co-induction of senescence and pro-inflammatory gene signatures, highlighting the critical role of senescent T cells in orchestrating pathology. In this work we hypothesized that senescent cells might operate differently among the ATL spectrum, potentially influencing immunopathological mechanisms and clinical outcome. We analysed previously published RNA-Seq datasets of skin biopsies of healthy subjects and lesional skin from DCL patients, LCL patients and LCL patients that, after treatment, progressed to mucosal leishmaniasis (MLP). Our findings demonstrate a robust presence of a CD8 T cell signature associated with both LCL and MLP lesions. Moreover, both inflammatory and cytotoxic signatures were significantly upregulated, showing a strong increase in MLP and LCL groups, but not DCL. The senescence signature was elevated between LCL and MLP groups, representing the only distinguishable signature of immunopathology between them. Interestingly, our analyses further revealed the senescence signature's capacity to predict progression from LCL to mucosal forms, which was not observed with other signatures. Both the senescence-signature score and specific senescence-associated genes demonstrated an increased capacity to predict mucosal progression, with correct predictions exceeding 97% of cases. Collectively, our findings contribute to a comprehensive understanding of immunosenescence in ATL and suggest that senescence may represent the latest and most important signature of the immunopathogenisis. This highlights its potential value in predicting disease severity.

衰老相关基因与美洲利什曼病皮损的免疫病理特征有关,并可预测向粘膜利什曼病的发展。
美国皮肤利什曼病(ATL)是由利什曼原虫引起的,有轻微的局部皮肤利什曼病(LCL),也有更严重的表现,如弥漫性皮肤利什曼病(DCL)和粘膜利什曼病(ML)。在此之前,我们曾证实 LCL 患者的皮损中有衰老细胞聚集。此外,皮损转录组分析表明,衰老和促炎症基因特征有很强的共同诱导作用,这突显了衰老 T 细胞在协调病理过程中的关键作用。在这项工作中,我们假设衰老细胞可能会在不同的 ATL 谱系中以不同的方式发挥作用,从而对免疫病理机制和临床结果产生潜在影响。我们分析了之前发表的健康人皮肤活检RNA-Seq数据集,以及DCL患者、LCL患者和治疗后进展为粘膜利什曼病(MLP)的LCL患者的病变皮肤RNA-Seq数据集。我们的研究结果表明,CD8 T 细胞特征与 LCL 和 MLP 病变都密切相关。此外,炎症和细胞毒性特征都显著上调,在 MLP 和 LCL 组中表现出强烈的增长,但在 DCL 组中却没有。衰老特征在 LCL 组和 MLP 组之间升高,是它们之间唯一可区分的免疫病理特征。有趣的是,我们的分析进一步揭示了衰老特征有能力预测从 LCL 向粘膜形式的发展,而其他特征则没有这种能力。衰老特征得分和特定的衰老相关基因都显示出预测粘膜进展的能力增强,预测正确率超过 97%。总之,我们的研究结果有助于全面了解 ATL 的免疫衰老,并表明衰老可能代表了免疫病理的最新和最重要的特征。这凸显了它在预测疾病严重程度方面的潜在价值。
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来源期刊
CiteScore
8.40
自引率
2.20%
发文量
101
审稿时长
3-8 weeks
期刊介绍: Clinical & Experimental Immunology (established in 1966) is an authoritative international journal publishing high-quality research studies in translational and clinical immunology that have the potential to transform our understanding of the immunopathology of human disease and/or change clinical practice. The journal is focused on translational and clinical immunology and is among the foremost journals in this field, attracting high-quality papers from across the world. Translation is viewed as a process of applying ideas, insights and discoveries generated through scientific studies to the treatment, prevention or diagnosis of human disease. Clinical immunology has evolved as a field to encompass the application of state-of-the-art technologies such as next-generation sequencing, metagenomics and high-dimensional phenotyping to understand mechanisms that govern the outcomes of clinical trials.
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