Culture-independent evaluation of the appendix and rectum microbiomes in children with and without appendicitis.
Culture-independent evaluation of the appendix and rectum microbiomes in children with and without appendicitis.
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DOI：
10.1371/journal.pone.0095414
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Zeichner SL
中科院分区：
文献类型：
--
作者：
Jackson HT;Mongodin EF;Davenport KP;Fraser CM;Sandler AD;Zeichner SL
阑尾的功能在很大程度上是未知的，但它的微生物群可能有助于功能。微生物群的改变可能导致阑尾炎，但传统的培养研究尚未产生结论性的信息。我们对配对的阑尾和直肠样本进行了一项试验性的、不依赖培养的16S rrna的微生物群研究。我们收集了21名接受阑尾切除术的儿童的阑尾和直肠拭子，其中6名是正常阑尾，15名是阑尾炎（9名穿孔）。提取DNA后，我们对16S rRNA基因进行扩增和测序，并使用CLoVR分析序列。我们根据位置（阑尾vs直肠）、疾病（阑尾炎vs正常）和疾病严重程度（穿孔vs非穿孔）使用方差分析（p<0.05）确定了相对丰度不同的生物体。我们在研究样本中确定了290个分类群。正常阑尾与正常直肠标本相比，有三个类群显著增加：梭菌（p = 0.009）、硒单胞菌（p = 0.026）和胃链球菌（p = 0.049）。正常阑尾与病变阑尾相比，有5个类群的丰度增加：Paenibacillaceae （p = 0.005）、acidobacteraceae GP4 （p = 0.019）、Pseudonocardinae （p = 0.019）、Bergeyella （p = 0.019）和Rhizobium （p = 0.045）。阑尾炎患者阑尾与正常阑尾相比增加了12个类群：胃链球菌（p = 0.0003）、嗜杆菌（p = 0.0004）、布氏菌（p = 0.012）、梭杆菌（p = 0.018）、细小单胞菌（p = 0.003）、Mogibacterium （p = 0.012）、氨杆菌（p = 0.019）、变形菌（p = 0.028）、放线菌（p = 0.028）、厌氧菌（p = 0.041）、厌氧膜菌（p = 0.045）、卟啉单胞菌（p = 0.010）。穿孔阑尾炎患者阑尾中有5个类群增加：子弹菌（p = 0.004）、梭菌（p = 0.005）、普雷沃菌（p = 0.021）、卟啉单胞菌（p = 0.030）、Dialister （p = 0.035）。阑尾炎患者直肠标本中有3个类群较正常患者增加：子弹菌（p = 0.034）、Dialister （p = 0.003）和卟啉单胞菌（p = 0.026）。与直肠相比，正常阑尾中的特定菌群更为丰富，这表明存在独特的阑尾微生物群。病变和严重病变（穿孔）样本中丰度改变的类群可能与阑尾炎的发病机制有关，并可能为指导阑尾炎的治疗和诊断提供有用的直肠微生物特征。
The function of the appendix is largely unknown, but its microbiota likely contributes to function. Alterations in microbiota may contribute to appendicitis, but conventional culture studies have not yielded conclusive information. We conducted a pilot, culture-independent 16S rRNA-based microbiota study of paired appendix and rectal samples. We collected appendix and rectal swabs from 21 children undergoing appendectomy, six with normal appendices and fifteen with appendicitis (nine perforated). After DNA extraction, we amplified and sequenced 16S rRNA genes and analyzed sequences using CLoVR. We identified organisms differing in relative abundance using ANOVA (p<0.05) by location (appendix vs. rectum), disease (appendicitis vs. normal), and disease severity (perforated vs. non-perforated). We identified 290 taxa in the study's samples. Three taxa were significantly increased in normal appendices vs. normal rectal samples: Fusibacter (p = 0.009), Selenomonas (p = 0.026), and Peptostreptococcus (p = 0.049). Five taxa were increased in abundance in normal vs. diseased appendices: Paenibacillaceae (p = 0.005), Acidobacteriaceae GP4 (p = 0.019), Pseudonocardinae (p = 0.019), Bergeyella (p = 0.019) and Rhizobium (p = 0.045). Twelve taxa were increased in the appendices of appendicitis patients vs. normal appendix: Peptostreptococcus (p = 0.0003), Bilophila (p = 0.0004), Bulleidia (p = 0.012), Fusobacterium (p = 0.018), Parvimonas (p = 0.003), Mogibacterium (p = 0.012), Aminobacterium (p = 0.019), Proteus (p = 0.028), Actinomycineae (p = 0.028), Anaerovorax (p = 0.041), Anaerofilum (p = 0.045), Porphyromonas (p = 0.010). Five taxa were increased in appendices in patients with perforated vs. nonperforated appendicitis: Bulleidia (p = 0.004), Fusibacter (p = 0.005), Prevotella (p = 0.021), Porphyromonas (p = 0.030), Dialister (p = 0.035). Three taxa were increased in rectum samples of patients with appendicitis compared to the normal patients: Bulleidia (p = 0.034), Dialister (p = 0.003), and Porphyromonas (p = 0.026). Specific taxa are more abundant in normal appendices compared to the rectum, suggesting that a distinctive appendix microbiota exists. Taxa with altered abundance in diseased and severely diseased (perforated) samples may contribute to appendicitis pathogenesis, and may provide microbial signatures in the rectum useful for guiding both treatment and diagnosis of appendicitis.
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DOI：
10.1196/annals.1309.015
发表时间：
2004-01-01
期刊：
ORAL TOLERANCE: NEW INSIGHTS AND PROSPECTS FOR CLINICAL APPLICATION
影响因子：
--
作者：
Gebbers, JO;Laissue, JA
通讯作者：
Laissue, JA
影响因子：
9
作者：
LAU, WY;TEOHCHAN, CH;WONG, SH
通讯作者：
WONG, SH
影响因子：
6.4
作者：
Guinane CM;Tadrous A;Fouhy F;Ryan CA;Dempsey EM;Murphy B;Andrews E;Cotter PD;Stanton C;Ross RP
通讯作者：
Ross RP
影响因子：
3.5
作者：
Gerritsen, Jacoline;Smidt, Hauke;Rijkers, Ger T.;de Vos, Willem M.
通讯作者：
de Vos, Willem M.
CLOVR：使用云计算从桌面上自动化和便携式序列分析的虚拟机。
影响因子：
3
作者：
Angiuoli SV;Matalka M;Gussman A;Galens K;Vangala M;Riley DR;Arze C;White JR;White O;Fricke WF
通讯作者：
Fricke WF