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基于直接 DNA 测序的沙特阿拉伯东部地区血液系统恶性肿瘤相关微生物组分析。

Direct DNA Sequencing-Based Analysis of Microbiota Associated with Hematological Malignancies in the Eastern Province of Saudi Arabia.

机构信息

Department of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Department of Internal Medicine/Oncology, College of Medicine, King Fahd Hospital of the Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

出版信息

Biomed Res Int. 2021 Feb 3;2021:4202019. doi: 10.1155/2021/4202019. eCollection 2021.

Abstract

INTRODUCTION

Bloodstream infections (BSI) among patients with hematological malignancies (HM) could predispose them to higher morbidity and mortality for various underlying conditions. Several microorganisms, either pathogenic or opportunistic normal human flora, could cause severe bacteremia and septicemia. While conventional methods have their own limitations, molecular methods such as next-generation sequencing (NGS) can detect these blood infections with more reliability, specificity, and sensitivity, in addition to information on microbial population landscape. . Blood samples from HM patients ( = 50) and volunteer blood donor control individuals with no HM ( = 50) were subjected to 16S rRNA gene amplification using standard PCR protocols. A metagenomic library was prepared, and NGS was run on a MiSeq (Illumina) sequencer. Sequence reads were analyzed using MiSeq Reporter, and microbial taxa were aligned using the Green Genes library.

RESULTS

82% of the patients showed BSI with Gram-negative bacteria as the most predominant group. comprised a major chunk of the bacterial population (19.51%), followed by (17.07%). The CoNS and groups are 17.07% and 14.63%, respectively. Other major species were (9.75%), (7.31%), (4.87%), (4.87%), and (4.87%). 34.14% of the cases among patients showed a Gram-positive infection, while 14.63% showed polymicrobial infections.

CONCLUSION

Most of the BSI in patients were characterized by polymicrobial infections, unlike the control samples. Molecular methods like NGS showed robust, fast, and specific identification of infectious agents in BSI in HM, indicating the possibility of its application in routine follow-up of such patients for infections.

摘要

简介

血液病患者(HM)的血流感染(BSI)可能使他们更容易因各种潜在疾病而出现更高的发病率和死亡率。一些微生物,无论是病原体还是机会性正常人体菌群,都可能导致严重的菌血症和败血症。虽然传统方法有其自身的局限性,但下一代测序(NGS)等分子方法除了能够提供微生物种群景观信息外,还可以更可靠、更特异和更敏感地检测这些血液感染。对 50 例 HM 患者和 50 例无 HM 的志愿者献血者对照个体的血液样本进行 16S rRNA 基因扩增,采用标准 PCR 方案。制备宏基因组文库,在 MiSeq(Illumina)测序仪上进行 NGS。使用 MiSeq Reporter 分析序列读数,并使用 Green Genes 文库对齐微生物分类群。

结果

82%的患者出现 BSI,革兰氏阴性菌为最主要的一组。 构成了细菌种群的主要部分(19.51%),其次是 (17.07%)。CoNS 和 组分别为 17.07%和 14.63%。其他主要物种为 (9.75%)、 (7.31%)、 (4.87%)、 (4.87%)和 (4.87%)。34.14%的患者病例表现为革兰氏阳性感染,而 14.63%的患者表现为混合感染。

结论

与对照样本不同,患者的大多数 BSI 以混合感染为特征。NGS 等分子方法可快速、特异、准确地鉴定 HM 中 BSI 的感染因子,表明其在这些患者感染常规随访中的应用可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ad/7875615/054a751804c2/BMRI2021-4202019.001.jpg

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