| Literature DB >> 35215298 |
Silvia Würstle1, Jana Stender2, Jens André Hammerl3, Kilian Vogele4, Kathrin Rothe5, Christian Willy6, Joachim Jakob Bugert2.
Abstract
Despite numerous advances in personalized phage therapy, smooth logistics are challenging, particularly for multidrug-resistant Gram-negative bacterial infections requiring high numbers of specific lytic phages. We conducted this study to pave the way for efficient logistics for critically ill patients by (1) closely examining and improving a current pipeline under realistic conditions, (2) offering guidelines for each step, leading to safe and high-quality phage supplies, and (3) providing a tool to evaluate the pipeline's efficiency. Due to varying stipulations for quality and safety in different countries, we focused the pipeline on all steps up to a required phage product by a cell-free extract system. The first of three study runs included patients with respiratory bacterial infections from four intensive care units, and it revealed a cumulative time of up to 23 days. Ultimately, adjustment of specific set points of the vulnerable components of the pipeline, phage isolation, and titration increased the pipeline's efficiency by 15% and decreased the maximum required time to 13 days. We present a site-independent practical approach to establish and optimize pipelines for personalized phage delivery, the co-organization of pipeline components between different institutions, non-binding guidelines for every step, and an efficiency check for phage laboratories.Entities:
Keywords: COVID-19 superinfection; Klebsiella spp.; antimicrobial resistance; bacteriophage; cell-free extract; in vitro phage production; phage therapy
Year: 2022 PMID: 35215298 PMCID: PMC8879309 DOI: 10.3390/ph15020186
Source DB: PubMed Journal: Pharmaceuticals (Basel) ISSN: 1424-8247
Figure 1Pipeline of personalized phage delivery from an organizational perspective, considering different competencies and production sites. Numbers in black circles refer to the non-binding guidelines, Section 3.5 of this manuscript.
Figure 2TEM image of the phages produced in the cell-free extract system. (A) Phage vB_EcM_muc122-IMB, host E. coli, myovirus, genome size 166.6 kb. (B) Phage vB_KoP_muc139-IMB, host K. oxytoca, family Autographiviridae, genome size 43.4 kb.
Efficiency calculation. Time, in hours, indicates hands-on time, transfer time between different institutes, and inevitable waiting periods. Transfer time to the next institute is counted to the respective previous step. Step 1–5a: Steps of the pipeline, see Figure 1. E factor minimum/maximum: efficiency factor, calculated using Equation (1), considering the minimal/maximum cumulative time. E factor mean: mean efficiency factor, calculated using minimum and maximum E factor. Phases I and II focused only on steps requiring optimization, and the results of the standardized steps 4 and 5b of phase I were considered for E factor calculation. Parameters with an asterisk * are integrated into Equation (1).
| Number of Patients | Number of Bacteria | Successful Patient Data Retrieval* | Step 1 (h) | Step 2 (h) | Step 3 (h) | Percentage of Bacteria with High-Titre Phages* | Number of High-Titre Phages/Bacteria* | Step 4 (h) | Percentage of Reliable Genomic Sequences* | Step 5b (h) | Final Titre (PFU/mL)* | Final Volume (mL)* | Cumulative Time (h)* | E Factor Minimum | E Factor Maximum | E Factor Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Phase I | 25 | 42 | 95.5% (42/44) | 48–72 | 48 | 48–336 | 87.0% (20/23) | 2.4 (55/23) | 72 | 87.3% (48/55) | 10 | 1 × 1010 | 11.0 | 226–538 | 0.39 | 0.92 | 0.65 |
| Phase II | 30 | 34 | 100% (34/34) | 48–72 | 48 | 24–72 | 58.8% (20/34) | 1.1 (37/34) | 202–274 | 0.25 | 0.34 | 0.29 | |||||
| Phase III | 6 | 6 | 100% (6/6) | 48–72 | 48 | 24–96 | 83.3% (5/6) | 2.0 (12/6) | 202–298 | 0.64 | 0.86 | 0.75 |
Description of different phases of the study to set up, refine, and validate the phage delivery pipeline.
| Time Frames | Aims | Sampling Specifications |
|---|---|---|
| Phase I |
to assess the most common bacteria isolated from respiratory infections of critically ill patients to find and test a suitable pipeline |
four different ICUs of one tertiary care hospital only tracheal secretion or bronchial lavage all different bacterial isolates |
| Phase II |
to refine the low performing components of the pipeline |
all wards of one tertiary care hospital all different sampling techniques only |
| Phase III |
to verify findings about the low performing components of the configured pipeline |
four different ICUs of one tertiary care hospital only tracheal secretion or bronchial lavage only |