PDF(Pubmed)
Abstract：
UNASSIGNED: Current research on amniotic fluid (AF) microbiota yields contradictory data, necessitating an accurate, comprehensive, and scientifically rigorous evaluation.
UNASSIGNED: This study aimed to characterise the microbial features of AF and explore the correlation between microbial information and clinical parameters.
UNASSIGNED: 76 AF samples were collected in this prospective cohort study. Fourteen samples were utilised to establish the nanopore metagenomic sequencing methodology, whereas the remaining 62 samples underwent a final statistical analysis along with clinical information. Negative controls included the operating room environment (OE), surgical instruments (SI), and laboratory experimental processes (EP) to elucidate the background contamination at each step. Simultaneously, levels of five cytokines (IL-1β, IL-6, IL-8, TNF-α, MMP-8) in AF were assessed.
UNASSIGNED: Among the 62 AF samples, microbial analysis identified seven without microbes and 55 with low microbial diversity and abundance. No significant clinical differences were observed between AF samples with and without microbes. The correlation between microbes and clinical parameters in AF with normal chromosomal structure revealed noteworthy findings. In particular, the third trimester exhibited richer microbial diversity. Pseudomonas demonstrated higher detection rates and relative abundance in the second trimester and Preterm Birth (PTB) groups. S. yanoikuyae in the PTB group exhibited elevated detection frequencies and relative abundance. Notably, Pseudomonas negatively correlated with activated partial thromboplastin time (APTT) (r = -0.329, P = 0.016), while Staphylococcus showed positive correlations with APTT (r = 0.395, P = 0.003). Furthermore, Staphylococcus negatively correlated with birth weight (r = -0.297, P = 0.034).
UNASSIGNED: Most AF samples exhibited low microbial diversity and abundance. Certain microbes in AF may correlate with clinical parameters such as gestational age and PTB. However, these associations require further investigation. It is essential to expand the sample size and undertake more comprehensive research to elucidate the clinical implications of microbial presence in AF.
UNASSIGNED: This study aimed to characterise the microbial features of AF and explore the correlation between microbial information and clinical parameters.
UNASSIGNED: 76 AF samples were collected in this prospective cohort study. Fourteen samples were utilised to establish the nanopore metagenomic sequencing methodology, whereas the remaining 62 samples underwent a final statistical analysis along with clinical information. Negative controls included the operating room environment (OE), surgical instruments (SI), and laboratory experimental processes (EP) to elucidate the background contamination at each step. Simultaneously, levels of five cytokines (IL-1β, IL-6, IL-8, TNF-α, MMP-8) in AF were assessed.
UNASSIGNED: Among the 62 AF samples, microbial analysis identified seven without microbes and 55 with low microbial diversity and abundance. No significant clinical differences were observed between AF samples with and without microbes. The correlation between microbes and clinical parameters in AF with normal chromosomal structure revealed noteworthy findings. In particular, the third trimester exhibited richer microbial diversity. Pseudomonas demonstrated higher detection rates and relative abundance in the second trimester and Preterm Birth (PTB) groups. S. yanoikuyae in the PTB group exhibited elevated detection frequencies and relative abundance. Notably, Pseudomonas negatively correlated with activated partial thromboplastin time (APTT) (r = -0.329, P = 0.016), while Staphylococcus showed positive correlations with APTT (r = 0.395, P = 0.003). Furthermore, Staphylococcus negatively correlated with birth weight (r = -0.297, P = 0.034).
UNASSIGNED: Most AF samples exhibited low microbial diversity and abundance. Certain microbes in AF may correlate with clinical parameters such as gestational age and PTB. However, these associations require further investigation. It is essential to expand the sample size and undertake more comprehensive research to elucidate the clinical implications of microbial presence in AF.
摘要：
■目前对羊水（AF）微生物群的研究产生了相互矛盾的数据，需要一个准确的，全面,科学严谨的评估。
■本研究旨在表征房颤的微生物特征，并探讨微生物信息与临床参数之间的相关性。
■本前瞻性队列研究收集了76例房颤样本。利用14个样本建立纳米孔宏基因组测序方法，而其余62个样本进行了最终统计分析以及临床信息.负面控制包括手术室环境(OE)，手术器械（SI），和实验室实验过程（EP），以阐明每个步骤的背景污染。同时,五种细胞因子(IL-1β，IL-6，IL-8，TNF-α，评估了房颤中的MMP-8）。
■在62个AF样本中，微生物分析鉴定出7个没有微生物，55个微生物多样性和丰度较低。在具有和不具有微生物的AF样品之间没有观察到显著的临床差异。具有正常染色体结构的AF中微生物与临床参数之间的相关性揭示了值得注意的发现。特别是,妊娠晚期表现出更丰富的微生物多样性。假单胞菌在妊娠中期和早产（PTB）组中表现出更高的检出率和相对丰度。PTB组中的S.yanoikuyae表现出升高的检测频率和相对丰度。值得注意的是,假单胞菌与活化部分凝血活酶时间(APTT)呈负相关(r=-0.329,P=0.016),葡萄球菌与APTT呈正相关(r=0.395,P=0.003)。此外，葡萄球菌与出生体重呈负相关(r=-0.297,P=0.034)。
■大多数AF样品表现出较低的微生物多样性和丰度。AF中的某些微生物可能与临床参数例如胎龄和PTB相关。然而,这些协会需要进一步调查。扩大样本量并进行更全面的研究以阐明AF中微生物存在的临床意义至关重要。
■本研究旨在表征房颤的微生物特征，并探讨微生物信息与临床参数之间的相关性。
■本前瞻性队列研究收集了76例房颤样本。利用14个样本建立纳米孔宏基因组测序方法，而其余62个样本进行了最终统计分析以及临床信息.负面控制包括手术室环境(OE)，手术器械（SI），和实验室实验过程（EP），以阐明每个步骤的背景污染。同时,五种细胞因子(IL-1β，IL-6，IL-8，TNF-α，评估了房颤中的MMP-8）。
■在62个AF样本中，微生物分析鉴定出7个没有微生物，55个微生物多样性和丰度较低。在具有和不具有微生物的AF样品之间没有观察到显著的临床差异。具有正常染色体结构的AF中微生物与临床参数之间的相关性揭示了值得注意的发现。特别是,妊娠晚期表现出更丰富的微生物多样性。假单胞菌在妊娠中期和早产（PTB）组中表现出更高的检出率和相对丰度。PTB组中的S.yanoikuyae表现出升高的检测频率和相对丰度。值得注意的是,假单胞菌与活化部分凝血活酶时间(APTT)呈负相关(r=-0.329,P=0.016),葡萄球菌与APTT呈正相关(r=0.395,P=0.003)。此外，葡萄球菌与出生体重呈负相关(r=-0.297,P=0.034)。
■大多数AF样品表现出较低的微生物多样性和丰度。AF中的某些微生物可能与临床参数例如胎龄和PTB相关。然而,这些协会需要进一步调查。扩大样本量并进行更全面的研究以阐明AF中微生物存在的临床意义至关重要。
