O'Connor Kathleen, Koscianski Christina, Larson Nicholas, Mangalaparthi Kiran K, Hoffmann Cody, Bedard Nicholas A, Elmenawi Khaled, Ducharme Merrick T, Hohenstein Jessica D, O'Brien Daniel, Pandey Akhilesh, Patel Robin
Division of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.
Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
mBio. 2025 Aug 28:e0170025. doi: 10.1128/mbio.01700-25.
Periprosthetic joint infection (PJI) is the most common and difficult to treat form of arthroplasty failure. While treatment with debridement, antibiotics, and implant retention (DAIR) is preferable to one- or two-stage implant exchange based on morbidity and cost, outcomes are not successful in all cases selected for this management strategy. DAIR is currently recommended when infection is perceived to be in an "acute" phase, based on symptom duration; despite this selection strategy, DAIR failure rates are high. A more objective means of predicting DAIR success could improve patient outcomes by limiting DAIR failures. To explore this possibility, advanced proteomic analysis of sonicate fluid samples from 95 subjects with PJI was performed using proximity extension assay (PEA), with 77 samples additionally undergoing complementary proteomics analysis with liquid chromatography with tandem mass spectrometry (LC-MS/MS). Sparse partial least squares differentiation analysis (sPLS-DA) separated samples from patients who underwent DAIR with known outcomes ( = 19) into successful or unsuccessful groups, predicting DAIR surgical outcome (area under the curve [AUC]: 1; mean "leave one out" AUC: 0.6). Proteins predictive of DAIR surgical outcome were significantly enriched for the "protein repair" Gene Ontology (GO) pathway (-adj = 0.02). Additionally, proteomic signatures associated with symptom duration in PJI categorized samples into short and long symptom duration PJI. In summary, an investigation of 7,261 unique human proteins separated PJI-associated samples based on symptom duration and identified a proteomic profile predictive of DAIR success.IMPORTANCEChronic infections are generally understood to last months to years, with acute infections lasting days to weeks. The transition from acute to chronic infection is, however, poorly understood. Periprosthetic joint infection (PJI) has been considered more challenging to treat when "chronic" than when "acute." A surgery preferred for its recovery time and cost-debridement, antibiotics, and implant retention (DAIR)-is recommended for PJI management when symptom duration is short; yet, even in this select patient group, DAIR is associated with a high treatment failure rate. A means to better identify those predicted to have a successful outcome if they undergo DAIR is needed. Here, over 7,000 proteins from human clinical PJI samples were measured and shown to be able to separate samples based on symptom duration. Importantly, a proteomic profile predictive of DAIR success was identified.
人工关节周围感染(PJI)是关节置换失败最常见且最难治疗的形式。虽然基于发病率和成本,清创、抗生素及保留植入物(DAIR)治疗比一期或二期植入物置换更可取,但在选择这种管理策略的所有病例中,治疗结果并非都成功。目前,基于症状持续时间,当感染被认为处于“急性期”时推荐采用DAIR;尽管有这种选择策略,但DAIR失败率很高。一种更客观的预测DAIR成功的方法可以通过减少DAIR失败来改善患者预后。为了探索这种可能性,我们使用邻位延伸分析(PEA)对95例PJI患者的超声提取液样本进行了先进的蛋白质组学分析,其中77个样本还通过液相色谱-串联质谱(LC-MS/MS)进行了补充蛋白质组学分析。稀疏偏最小二乘判别分析(sPLS-DA)将已知结果(n = 19)的接受DAIR治疗患者的样本分为成功或失败组,预测DAIR手术结果(曲线下面积[AUC]:1;平均“留一法”AUC:0.6)。预测DAIR手术结果的蛋白质在“蛋白质修复”基因本体(GO)途径中显著富集(Padj = 0.02)。此外,与PJI症状持续时间相关的蛋白质组学特征将样本分为症状持续时间短和长的PJI。总之,对7261种独特人类蛋白质的研究根据症状持续时间对PJI相关样本进行了分类,并确定了一种预测DAIR成功的蛋白质组学特征。
重要性
一般认为慢性感染持续数月至数年,急性感染持续数天至数周。然而,从急性感染到慢性感染的转变却知之甚少。人工关节周围感染(PJI)在“慢性”时被认为比“急性”时更具治疗挑战性。当症状持续时间短时,对于PJI的管理推荐采用恢复时间短且成本低的手术——清创、抗生素及保留植入物(DAIR);然而,即使在这个特定患者群体中,DAIR也与高治疗失败率相关。需要一种方法来更好地识别那些如果接受DAIR治疗预计会有成功结果的患者。在这里,我们对来自人类临床PJI样本的7000多种蛋白质进行了测量,并表明能够根据症状持续时间对样本进行分类。重要的是,确定了一种预测DAIR成功的蛋白质组学特征。