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炎症性腸疾患におけるミコバイオタの動態:真菌バイオマーカーとClostridioides difficileの共感染

  • 0Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China.

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まとめ

この要約は機械生成です。

炎症性腸疾患 (IBD) の患者で存在し,Clostridium difficile感染 (CDI) の有無で有意に異なっている. 腸内真菌はIBDとCDIの診断に役立つ可能性があります.

科学分野

  • 胃腸内科
  • 菌類学
  • 微生物群の研究

背景

  • 炎症性腸疾患 (IBD) は複雑な宿主-微生物の相互作用を伴う.
  • IBDの病原性およびClostridium difficile感染 (CDI) のような共感染における真菌微生物群 (ミコバイオーム) の役割は,まだ完全に理解されていません.

研究 の 目的

  • IBD患者 (CDIと無) と健康な対照群 (HC) の菌微生物群の組成と多様性を特徴付け,比較する.
  • IBDとCDIの診断の可能性のある特定の菌類を特定する.
  • IBDの腸内キノコパターンと臨床パラメータの相関性を調べる

主な方法

  • IBD患者139人 (CDI患者45人) とHC患者35人の糞便サンプルを,ITS配列解析を用いて分析した.
  • ランダムフォレストモデリングは,キーのキノコ分類を特定し,診断パフォーマンスを評価するために使用されました.
  • 診断の可能性を評価するために,受信機動作特性 (ROC) 曲線を使用した.
  • 菌類の微生物群と臨床データ (WBC,CRP,糞便カルプロテクチン,BMI) の相関が調査されました.

主要な成果

  • IBD患者は,HCと比較してキノコのアルファ多様性が減少した.
  • CDI- IBD,非CDI IBD,HCグループでは,真菌ベータ多様性の有意な差異が観察されました.
  • IBD患者ではサッカロミセスの増加とビポラリスの減少が認められた.
  • ランダムフォレストモデルは高い精度を達成しました (非CDI IBDとHCのAUCは93.7%で,CDI-IBDと非CDI IBDのAUCは82.2%).
  • クリニカルマーカーと相関する特定の真菌:ペニシリウム (WBC,CRP),カンジダ (糞便のカルプロテクチン),およびバイポラリス (BMI).

結論

  • 顕著な真菌不活性症はIBDの特徴であり,CDIに関連した明確なパターンがあります.
  • 腸内キノコのシグネチャーは IBDとCDIの診断バイオマーカーとして有望です
  • 腸内キノコと臨床パラメータの間の相関は,標的治療戦略の可能性を示唆しています.

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