Gene Expression Analysis of Biofilm Formation and Antimicrobial Resistance in Clinical Methicillin-Resistant Staphylococcus Aureus
Gene Expression Analysis of Biofilm Formation and Antimicrobial Resistance in Clinical Methicillin-Resistant Staphylococcus Aureus Isolates From Surgical Site Infections Exposed to Probiotic Cell-Free Supernatant
調査の概要
状態
詳細な説明
The global emergence and dissemination of methicillin-resistant Staphylococcus aureus (MRSA) have further complicated the treatment of these infections because of its resistance to β-lactam antibiotics and many other antimicrobial agents, leading to increased morbidity, mortality, prolonged hospitalization, and substantial healthcare costs worldwide.
The pathogenicity of Staphylococcus aureus is largely attributed to its diverse virulence factors, which facilitate bacterial adhesion, tissue invasion, immune evasion, and persistence within the host. These virulence determinants include microbial surface components recognizing adhesive matrix molecule, extracellular enzymes, cytotoxins, superantigens, and immune evasion proteins, all of which contribute to successful colonization and disease progression .
Among these virulence factors, biofilm formation is considered one of the most important determinants of S. aureus pathogenicity. Biofilms are highly organized bacterial communities embedded within a self-produced extracellular polymeric matrix (EPS). This matrix enhances bacterial adherence to both biotic and abiotic surfaces while protecting the bacteria from host immune defenses and antimicrobial agents .
Consequently, biofilm-associated infections are often characterized by persistent infection, failure in treatment , and increased antimicrobial resistance, Therefore, disrupting biofilm formation has become a key target for developing novel therapeutic strategies.
Probiotics have attracted increasing attention as promising addition to conventional antimicrobial therapy because of their ability to inhibit pathogenic microorganisms, interfere with biofilm formation, and modulate bacterial virulence .
Many of these beneficial effects are mediated by probiotic-derived cell-free supernatants (CFS), which contain a variety of bioactive compounds, including organic acids, bacteriocins, hydrogen peroxide, biosurfactants, and other antimicrobial metabolites.
Several studies have demonstrated that probiotic-derived CFS can inhibit Staphylococcus aureus biofilm formation and suppress the expression of virulence-associated genes, thereby reducing bacterial pathogenicity .
Surgical site infections (SSIs) represent a major healthcare burden in Egyptian hospitals, with reported prevalence rates ranging from 9% to 26% among postoperative patients .
研究の種類
入学 (推定)
連絡先と場所
研究連絡先
- 名前:Noha Shafik, Assistant professor
- 電話番号:01067261504
- メール:nohasaber@med.sohag.edu.eg
研究連絡先のバックアップ
- 名前:Renad Mohammed Abdelhafez, Demonstrator
- メール:Renad.Mohamed@med.sohag.edu.eg
参加基準
適格基準
就学可能な年齢
- 子
- 大人
- 高齢者
健康ボランティアの受け入れ
サンプリング方法
調査対象母集団
説明
Inclusion Criteria:
- Patients of any age diagnosed with postoperative SSIs.
- Clinical isolates from SSIs identified as MRSA.
Exclusion Criteria:
- Any microorganism isolated from SSIs other than MRSA.
- Prior administration of postoperative antibiotics
研究計画
研究はどのように設計されていますか?
デザインの詳細
この研究は何を測定していますか?
主要な結果の測定
結果測定 |
時間枠 |
|---|---|
|
The effect of Probiotic cell-free supernatant (CFS) on the expression of the biofilm-associated genes icaA and fnbA in clinical MRSA isolates..
時間枠:December 2026- to March 2027
|
December 2026- to March 2027
|
|
The number of clinical Staphylococcus aureus isolates from SSIs and determine their antimicrobial susceptibility patterns to identify methicillin-resistant Staphylococcus aureus (MRSA).
時間枠:September 2026 to January 2027
|
September 2026 to January 2027
|
|
The effect of Probiotic cell-free supernatant (CFS) on the expression of the antibiotic resistance-associated genes mecA and femA in clinical MRSA isolates
時間枠:March 2027 to June 2027
|
March 2027 to June 2027
|
協力者と研究者
スポンサー
出版物と役立つリンク
便利なリンク
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
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