Kim Jae Kwon, Kang Taewon, Kweon Youngeun, Yoo In Young, Oh Eun-Jee, Park Yeon-Joon, Kim Yonggoo, Kim Hoon Seok, Jekarl Dong Wook
Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea.
Research and Development Institute for In Vitro Diagnostic Medical Devices, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Int J Mol Sci. 2025 Mar 26;26(7):3009. doi: 10.3390/ijms26073009.
Microbial contamination of platelet concentrates (PC) remains a persistent challenge in transfusion medicine, necessitating robust preventive measures prior to product release. Differentially expressed gene (DEG) analysis of microbe inoculated PC offers a promising approach to identifying potential biomarkers for contamination detection. Within PC, each (ATCC 29213) and (ATCC 12228) was inoculated in a 10 CFU/mL concentration. Total RNA was extracted from the samples at predetermined time points (0-, 1-, 3-, and 6-hours post-inoculation), followed by high-throughput RNA sequencing. DEG, gene enrichment, and pathway analysis were conducted. Diagnostic potential was evaluated through the calculation of area under the curve (AUC) values and the assessment of additional performance metrics. DEG identified 5884 and 974 DEGs in and samples, respectively. Pathway analysis revealed distinct biological responses: -inoculated samples showed prominent enrichment in ribosomal and spliceosome pathways, while -inoculated samples demonstrated significant activation of mitogen-activated protein kinase (MAPK) signaling pathways and natural killer (NK) cell-mediated cytotoxicity pathways. ROC analysis of the commonly differentially expressed genes in both and -inoculated samples demonstrated significant diagnostic potential. The genes , , , and exhibited statistically significant adjusted -values and AUC values exceeding 0.8, with the exception of the gene in , suggesting their utility as potential biomarkers for staphylococcal contamination detection. Interaction between PC and microbial contaminants resulted in DEG and genes could be analyzed for microbial contamination of PC. However, to establish the robustness and broader applicability of these findings, further studies encompassing a more diverse range of microbial species are necessary.
血小板浓缩物（PC）的微生物污染仍然是输血医学中一个持续存在的挑战，因此在产品放行前需要采取强有力的预防措施。对接种微生物的PC进行差异表达基因（DEG）分析为识别污染检测的潜在生物标志物提供了一种有前景的方法。在PC中，每种[具体菌种1]（ATCC 29213）和[具体菌种2]（ATCC 12228）均以10 CFU/mL的浓度接种。在预定时间点（接种后0、1、3和6小时）从样品中提取总RNA，随后进行高通量RNA测序。进行了DEG、基因富集和通路分析。通过计算曲线下面积（AUC）值和评估其他性能指标来评估诊断潜力。DEG分别在[具体菌种1]和[具体菌种2]样品中鉴定出5884个和974个DEG。通路分析揭示了不同的生物学反应：接种[具体菌种1]的样品在核糖体和剪接体通路中显示出显著富集，而接种[具体菌种2]的样品则显示出丝裂原活化蛋白激酶（MAPK）信号通路和自然杀伤（NK）细胞介导的细胞毒性通路的显著激活。对接种[具体菌种1]和[具体菌种2]样品中共同差异表达基因的ROC分析显示出显著的诊断潜力。基因[基因1]、[基因2]、[基因3]和[基因4]表现出统计学上显著的校正P值，且AUC值超过0.8，但接种[具体菌种1]样品中的[基因4]基因除外，这表明它们可用作葡萄球菌污染检测的潜在生物标志物。PC与微生物污染物之间的相互作用导致了DEG的产生，并且可以分析这些基因以检测PC的微生物污染。然而，为了确定这些发现的稳健性和更广泛的适用性，有必要进行涵盖更多不同微生物种类的进一步研究。
