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咽部分离微生物特征可预测血液病患者发生真菌性肺炎的风险。

Pharyngeal Microbial Signatures Are Predictive of the Risk of Fungal Pneumonia in Hematologic Patients.

机构信息

Department of Medicine and Surgery, University of Perugia, Perugia, Italy.

University Research Center on Functional Genomics (C.U.R.Ge.F), University of Perugia, Perugia, Italy.

出版信息

Infect Immun. 2021 Jul 15;89(8):e0010521. doi: 10.1128/IAI.00105-21.

Abstract

The ability to predict invasive fungal infections (IFI) in patients with hematological malignancies is fundamental for successful therapy. Although gut dysbiosis is known to occur in hematological patients, whether airway dysbiosis also contributes to the risk of IFI has not been investigated. Nasal and oropharyngeal swabs were collected for functional microbiota characterization in 173 patients with hematological malignancies recruited in a multicenter, prospective, observational study and stratified according to the risk of developing IFI. A lower microbial richness and evenness were found in the pharyngeal microbiota of high-risk patients that were associated with a distinct taxonomic and metabolic profile. A murine model of IFI provided biologic plausibility for the finding that loss of protective anaerobes, such as and , along with an apparent restricted availability of tryptophan, is causally linked to the risk of IFI in hematologic patients and indicates avenues for antimicrobial stewardship and metabolic reequilibrium in IFI.

摘要

预测血液恶性肿瘤患者侵袭性真菌感染(IFI)的能力对于成功治疗至关重要。虽然已知血液系统疾病患者会出现肠道菌群失调,但气道菌群失调是否也会增加 IFI 的风险尚未得到研究。在一项多中心、前瞻性、观察性研究中,共招募了 173 名血液恶性肿瘤患者,采集了他们的鼻和口咽拭子,用于功能微生物组特征分析,并根据发生 IFI 的风险进行分层。研究发现,高危患者的咽微生物群中微生物丰富度和均匀度较低,与特定的分类和代谢特征相关。IFI 小鼠模型为以下发现提供了生物学依据,即保护性厌氧菌(如 和 )的缺失,以及色氨酸的明显供应受限,与血液系统疾病患者 IFI 的风险相关,并为 IFI 中的抗菌药物管理和代谢平衡指明了方向。

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