Lian Tan, Bangsheng Chen, Yudong Xu, Zhengfeng Wen, Bo Feng, Danqi Chen, Xiongxiong Wang, Xuena Cui, Dongjun Hu
{"title":"Clinical value of metagenomic sequencing in system evaluation of potential donors and donor-derived infection in kidney transplantation.","authors":"Lian Tan, Bangsheng Chen, Yudong Xu, Zhengfeng Wen, Bo Feng, Danqi Chen, Xiongxiong Wang, Xuena Cui, Dongjun Hu","doi":"10.62347/ZNKM3687","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To explore the application and the clinical value of metagenomic sequencing in system evaluation of potential kidney donors, along with donor-derived infection in kidney transplantation.</p><p><strong>Methods: </strong>A prospective study was conducted on 40 voluntary renal donors in Ningbo Urology and Kidney Disease hospital from January 2021 to August 2023. The results of donor pathogen fed back by metagenomic sequencing were analyzed to understand the clinical significance of metagenomic sequencing in donor evaluation.</p><p><strong>Results: </strong>(1) Detection rate of pathogens. The probability of pathogens detected by traditional laboratories and metagenomic sequencing was 72.50% and 90.00%, respectively. Compared with traditional laboratory tests, metagenomic sequencing detected significantly more pathogens (<i>P</i> < 0.05). The percentage of co-infection of multiple pathogens detected by traditional laboratory tests (31.03%) in donors was significantly lower than that detected by metagenomic sequencing (88.89%) (<i>P</i> < 0.001). Traditional laboratory tests detected bacteria in 20 donors and fungi in 9 donors, but its performance on detecting viruses and mycoplasmas was limited. Metagenomic sequencing detected bacteria in 30 donors, fungi in 12 donors, viruses in 9 donors, and mycoplasmas in 9 donors. The positive rates of bacteria, viruses and mycoplasmas detected by metagenomic sequencing were significantly higher than those detected by traditional laboratory tests (<i>P</i> < 0.05). (2) Predictive value. The sensitivity, specificity, positive predictive value, and negative predictive value of metagenomic sequencing were 97.30%, 100.00%, 100% and 75.00%, respectively, while those of traditional laboratory tests were 78.39%, 100.00%, 100.00% and 27.27%, respectively. (3) The diagnostic efficiency of metagenomic sequencing was superior to that of traditional laboratory tests. (4) Time needed for result feedback. From specimen collection to the result feedback given to the clinician, the time required for traditional laboratory tests was longer than that for metagenomic sequencing, with significant differences (P < 0.001). In addition, the required time for traditional laboratory tests in detecting bacterial positivity was longer than that for metagenomic sequencing, with a statistically significant difference (<i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>This study probes into the application of metagenomic sequencing in the evaluation of donor pathogens, especially in negative samples detected by traditional laboratory tests. Our findings suggest that metagenomic sequencing can improve the sensitivity and specificity of diagnosis, increase the detection rate of pathogens, and minimize the turnover time.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"16 12","pages":"7707-7715"},"PeriodicalIF":1.7000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733385/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of translational research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.62347/ZNKM3687","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To explore the application and the clinical value of metagenomic sequencing in system evaluation of potential kidney donors, along with donor-derived infection in kidney transplantation.
Methods: A prospective study was conducted on 40 voluntary renal donors in Ningbo Urology and Kidney Disease hospital from January 2021 to August 2023. The results of donor pathogen fed back by metagenomic sequencing were analyzed to understand the clinical significance of metagenomic sequencing in donor evaluation.
Results: (1) Detection rate of pathogens. The probability of pathogens detected by traditional laboratories and metagenomic sequencing was 72.50% and 90.00%, respectively. Compared with traditional laboratory tests, metagenomic sequencing detected significantly more pathogens (P < 0.05). The percentage of co-infection of multiple pathogens detected by traditional laboratory tests (31.03%) in donors was significantly lower than that detected by metagenomic sequencing (88.89%) (P < 0.001). Traditional laboratory tests detected bacteria in 20 donors and fungi in 9 donors, but its performance on detecting viruses and mycoplasmas was limited. Metagenomic sequencing detected bacteria in 30 donors, fungi in 12 donors, viruses in 9 donors, and mycoplasmas in 9 donors. The positive rates of bacteria, viruses and mycoplasmas detected by metagenomic sequencing were significantly higher than those detected by traditional laboratory tests (P < 0.05). (2) Predictive value. The sensitivity, specificity, positive predictive value, and negative predictive value of metagenomic sequencing were 97.30%, 100.00%, 100% and 75.00%, respectively, while those of traditional laboratory tests were 78.39%, 100.00%, 100.00% and 27.27%, respectively. (3) The diagnostic efficiency of metagenomic sequencing was superior to that of traditional laboratory tests. (4) Time needed for result feedback. From specimen collection to the result feedback given to the clinician, the time required for traditional laboratory tests was longer than that for metagenomic sequencing, with significant differences (P < 0.001). In addition, the required time for traditional laboratory tests in detecting bacterial positivity was longer than that for metagenomic sequencing, with a statistically significant difference (P < 0.001).
Conclusion: This study probes into the application of metagenomic sequencing in the evaluation of donor pathogens, especially in negative samples detected by traditional laboratory tests. Our findings suggest that metagenomic sequencing can improve the sensitivity and specificity of diagnosis, increase the detection rate of pathogens, and minimize the turnover time.