Age- and sex-dependent transcriptomic network alterations in sepsis.

IF 13 Q2 GERIATRICS & GERONTOLOGY
Collins K Boahen, Andrian Fratea, Anca-Lelia Riza, Ioana Streata, Andra Grigorescu, Mihai G Netea, Vinod Kumar
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引用次数: 0

Abstract

Sepsis arises from a dysregulated immune response to infection, causing systemic inflammation and high mortality. Its nonspecific symptoms and complex molecular mechanisms make early diagnosis and therapeutic development challenging. The contribution of host factors to this heterogeneity is not fully understood. We investigated whether baseline gene co-expression networks are preserved or reorganized in sepsis and whether age and sex influence these networks by analyzing RNA-seq data from Peripheral Blood Mononuclear Cells (PBMCs) of healthy Romanian individuals and sepsis patients. Sixteen co-expression modules were identified in healthy controls. Most were preserved in sepsis, but four exhibited disrupted organization, indicating selective network reprogramming. Notably, the green module was strongly associated with age, sex, and sepsis. Within this module, 13 age-associated and 20 sex-associated hub genes were identified. Individual hub genes showed modest discriminative ability, whereas a multigene model achieved high accuracy (AUC = 0.988). Transcription factor motif enrichment highlighted STAT family and AP-1-related signals, while functional enrichment implicated chromatin remodeling, DNA repair, and immune pathways, consistent with hallmarks of aging. These results suggest that age and sex shape the molecular architecture of sepsis, emphasizing the need for demography-aware approaches to understand its biology and prioritize pathways and regulators for validation towards precision diagnostics and therapeutics.

脓毒症中年龄和性别依赖的转录组网络改变。
败血症源于对感染的免疫反应失调,引起全身炎症和高死亡率。其非特异性症状和复杂的分子机制使得早期诊断和治疗发展具有挑战性。宿主因素对这种异质性的贡献尚不完全清楚。我们通过分析罗马尼亚健康个体和脓毒症患者外周血单核细胞(PBMCs)的RNA-seq数据,研究了基线基因共表达网络是否在脓毒症中被保留或重组,以及年龄和性别是否影响这些网络。在健康对照中鉴定出16个共表达模块。大多数在脓毒症中保存下来,但有四个表现出组织破坏,表明选择性网络重编程。值得注意的是,绿色模块与年龄、性别和败血症密切相关。在该模块中,鉴定了13个与年龄相关的中心基因和20个与性别相关的中心基因。单个中心基因具有中等的区分能力,而多基因模型具有较高的准确率(AUC = 0.988)。转录因子基序富集突出了STAT家族和ap -1相关信号,而功能富集涉及染色质重塑、DNA修复和免疫途径,与衰老特征一致。这些结果表明,年龄和性别塑造了脓毒症的分子结构,强调需要有人口统计学意识的方法来了解其生物学,并优先考虑途径和调节因子,以验证精确的诊断和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.90
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