Bagelman Shelly, Zvigule-Neidere Gunda
International Students Department, Riga Stradins University, LV-1007 Riga, Latvia.
Department of Pediatrics, Riga Stradins University, LV-1007 Riga, Latvia.
Infect Dis Rep. 2021 Mar 14;13(1):230-238. doi: 10.3390/idr13010026.
is a member of normal skin microflora, which can cause lethal infections in immunosuppressed hosts. In this review we attempted to draw patterns of its pathogenicity, which seem to vary regarding host immune status and the presence of implantable devices. Evidence suggests this pathogen houses many resistance-forming proteins, which serve to exacerbate the challenge in curing it. Available information on antibacterial susceptibility is scarce. In this situation, a novel, genome-based antibiotic resistance analysis model, previously suggested by Su et al., could aid clinicians dealing with unknown infections. In this study we merged data from observed antibiotic resistance patterns with resistance data demonstrated by DNA sequences.
We reviewed all available articles and reports on , from peer-reviewed online databases (ClinicalKey, PMC, Scopus and WebOfScience). Information on patients was then subdivided into patient profiles and tabulated independently. We later performed genome sequence analysis for resistance proteins to understand the trends exhibits.
is resistant to beta-lactams, macrolides and clindamycin. It is susceptible to aminoglycosides, tetracyclines and rifampicin. We combined data from the literature review and sequence analysis and found evidence for the existence of PBP, PBP-2A and efflux pumps as likely determinants of .
Reviewing the data permits the speculation that baseline immune status plays a role in the outcome of a infection. Nonetheless, our case report demonstrates that the outcome of a lower baseline immunity could still be favorable, possibly using rifampicin in first-line treatment of infection caused by .
[具体病原体名称]是正常皮肤微生物群的成员,可在免疫抑制宿主中引起致命感染。在本综述中,我们试图梳理其致病模式,这些模式似乎因宿主免疫状态和植入式设备的存在而有所不同。有证据表明,这种病原体含有许多形成耐药性的蛋白质,这加剧了治疗它的挑战。关于抗菌药敏性的现有信息很少。在这种情况下,苏等人之前提出的一种基于基因组的新型抗生素耐药性分析模型,可以帮助临床医生处理不明感染。在本研究中,我们将观察到的抗生素耐药模式数据与DNA序列显示的耐药数据合并。
我们检索了同行评审在线数据库(ClinicalKey、PMC、Scopus和WebOfScience)中所有关于[具体病原体名称]的可用文章和报告。然后将患者信息细分为患者概况并独立列表。我们随后对耐药蛋白进行了[具体病原体名称]基因组序列分析,以了解其呈现的趋势。
[具体病原体名称]对β-内酰胺类、大环内酯类和克林霉素耐药。它对氨基糖苷类、四环素类和利福平敏感。我们结合了文献综述和序列分析的数据,发现存在PBP、PBP-2A和外排泵可能是[具体病原体名称]耐药的决定因素。
回顾这些数据可以推测,基线免疫状态在[具体病原体名称]感染的结果中起作用。尽管如此,我们的病例报告表明,较低的基线免疫力的结果仍可能是良好的,可能在[具体病原体名称]引起的感染的一线治疗中使用利福平。