暴露于结核分枝杆菌后,宿主脂质代谢的表观遗传编程与 TST/IGRA 转换抗性有关。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-09-17 Epub Date: 2024-08-20 DOI:10.1128/msystems.00628-24
Kimberly A Dill-McFarland, Jason D Simmons, Glenna J Peterson, Felicia K Nguyen, Monica Campo, Penelope Benchek, Catherine M Stein, Tomas Vaisar, Harriet Mayanja-Kizza, W Henry Boom, Thomas R Hawn
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引用次数: 0

摘要

结核分枝杆菌(Mtb)暴露会导致一系列结果,包括清除、潜伏结核感染(LTBI)和肺结核(TB)。一些暴露严重的人对结核菌素皮肤试验(TST)和干扰素-γ(IFNγ)释放测定(IGRA)转换(RSTR)有抵抗力,这表明他们采用了不依赖于 IFNγ 的 Mtb 控制机制。在此,我们比较了乌干达家庭接触人群中 RSTR 和 LTBI 的单核细胞表观遗传学特征。未感染的 RSTR 和 LTBI 单核细胞的染色质可及性没有差异。相比之下,甲基化在 174 个 CpG 位点和 63 个基因组区域存在明显差异。与之前在该队列中的转录发现一致,差异甲基化富集在脂质和胆固醇相关通路中,包括基因 APOC3、KCNQ1 和 PLA2G3。此外,甲基化还富集在与胆固醇平衡相关的 Hippo 信号转导中,其中包括 CIT 和 SHANK2。脂质输出和Hippo信号通路还与RSTR对Mtb的反应以及来自独立健康供体队列的单核巨噬细胞(MDMs)中IFN刺激的基因表达有关。此外,与 LTBI 相比,RSTR 血清中的高密度脂蛋白具有更高的 ABCA1 介导的胆固醇外排能力(CEC)。我们的研究结果表明,对 TST/IGRA 转换的抵抗与单核细胞中脂质积累的调节有关,这可能会通过 IFNγ 依赖性机制促进 RSTR 受试者早期清除 Mtb。尽管结核病治疗取得了最新进展,但我们仍缺乏有效的疫苗或持久的治愈方法。虽然大量接触结核分枝杆菌往往会导致结核病潜伏感染(LTBI),但也存在一些亚群,它们要么对感染有抵抗力,要么含有不依赖于干扰素-γ(IFNγ)机制的结核分枝杆菌,但并不表明存在 LTBI。这些抗原为研究结核病的发病机制和发现新的治疗靶点提供了机会。在这里,我们比较了乌干达家庭接触者队列中 RSTR 和 LTBI 的单核细胞表观遗传特征。我们发现了宿主脂质和胆固醇通路中的甲基化特征,这些特征可能与早期肺结核清除有关,因为早期肺结核清除后才会出现表明为 LTBI 的持续 IFN 反应。这为越来越多的将结核病结果与宿主脂质联系起来的文献增添了新的内容。
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Epigenetic programming of host lipid metabolism associated with resistance to TST/IGRA conversion after exposure to Mycobacterium tuberculosis.

Mycobacterium tuberculosis (Mtb) exposure leads to a range of outcomes including clearance, latent TB infection (LTBI), and pulmonary tuberculosis (TB). Some heavily exposed individuals resist tuberculin skin test (TST) and interferon-gamma (IFNγ) release assay (IGRA) conversion (RSTR), which suggests that they employ IFNγ-independent mechanisms of Mtb control. Here, we compare monocyte epigenetic profiles of RSTR and LTBI from a Ugandan household contact cohort. Chromatin accessibility did not differ between uninfected RSTR and LTBI monocytes. By contrast, methylation significantly differed at 174 CpG sites and across 63 genomic regions. Consistent with previous transcriptional findings in this cohort, differential methylation was enriched in lipid- and cholesterol-associated pathways including the genes APOC3, KCNQ1, and PLA2G3. In addition, methylation was enriched in Hippo signaling, which is associated with cholesterol homeostasis and includes CIT and SHANK2. Lipid export and Hippo signaling pathways were also associated with gene expression in response to Mtb in RSTR as well as IFN stimulation in monocyte-derived macrophages (MDMs) from an independent healthy donor cohort. Moreover, serum-derived high-density lipoprotein from RSTR had elevated ABCA1-mediated cholesterol efflux capacity (CEC) compared to LTBI. Our findings suggest that resistance to TST/IGRA conversion is linked to regulation of lipid accumulation in monocytes, which could facilitate early Mtb clearance among RSTR subjects through IFNγ-independent mechanisms.IMPORTANCETuberculosis (TB) remains an enduring global health challenge with millions of deaths and new cases each year. Despite recent advances in TB treatment, we lack an effective vaccine or a durable cure. While heavy exposure to Mycobacterium tuberculosis often results in latent TB latent infection (LTBI), subpopulations exist that are either resistant to infection or contain Mtb with interferon-gamma (IFNγ)-independent mechanisms not indicative of LTBI. These resisters provide an opportunity to investigate the mechanisms of TB disease and discover novel therapeutic targets. Here, we compare monocyte epigenetic profiles of RSTR and LTBI from a Ugandan household contact cohort. We identify methylation signatures in host lipid and cholesterol pathways with potential relevance to early TB clearance before the sustained IFN responses indicative of LTBI. This adds to a growing body of literature linking TB disease outcomes to host lipids.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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