Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types
BackgroundMetagenomic high-throughput sequencing (mNGS) represents a powerful tool for detecting nucleic acids from various pathogens, such as bacteria, fungi, viruses and parasites, in clinical samples. Despite its extensively employed in the pathogen diagnosis for various infectious diseases, its...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Cellular and Infection Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2024.1386377/full |
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| author | Xiaopu Chen Yong Liang Wei Yang Wenzhen He Zhiqiang Xing Shunxian Li Shaoyu Cai Jiping Fu Xiaotang Peng Manli Chen Jiaming Wu |
| author_facet | Xiaopu Chen Yong Liang Wei Yang Wenzhen He Zhiqiang Xing Shunxian Li Shaoyu Cai Jiping Fu Xiaotang Peng Manli Chen Jiaming Wu |
| author_sort | Xiaopu Chen |
| collection | DOAJ |
| description | BackgroundMetagenomic high-throughput sequencing (mNGS) represents a powerful tool for detecting nucleic acids from various pathogens, such as bacteria, fungi, viruses and parasites, in clinical samples. Despite its extensively employed in the pathogen diagnosis for various infectious diseases, its application in diagnosing stroke-related infection, and its potential impact on clinical decision-making, anti-infection treatment, clinical intervention, and patient prognosis remain insufficiently explored. Additionally, while mNGS offers promising potential, it facts limitations related to sensitivity, specificity, cost, and standardization, which could influence its integration into routine clinical practice.MethodsWe retrospectively analyzed 18 stroke patients admitted to the First Affiliated Hospital of Medical College of Shantou University from January to February 2023, comparing culture-based methods with mNGS detection, and assessing its significance in etiological diagnosis. Additionally, we evaluated the performance differences among various sequencing platforms.ResultsAmong the 18 stroke patients enrolled, pulmonary infections were identified in 7 cases, urinary tract infections in 1 case, central nervous system infections in 10 cases, and combined pulmonary and central nervous system infections in 2 cases, with 2 cases yielding negative results. mNGS detected pathogens in 13 cases, aligning with clinical diagnoses (75% concordance), whereas culture-based methods yielded positive results in only 6 cases (22% concordance). Importantly, for 9 of the 18 patients, adjustments to anti-infective treatment regimens based on mNGS results led to improved symptomatic relief and infection control. This suggests that mNGS can contribute to more timely and precise treatment modifications, particularly for infections with low pathogen loads, potentially enhancing clinical outcomes.ConclusionOur findings highlights the utility of mNGS in diagnosing stroke-associated infections by providing a more comprehensive etiological diagnosis compared to traditional method. While mNGS shows promise in enhancing diagnostic accuracy and guiding clinical treatment, it high cost and technical challenges need addressing before widespread clinical adoption. Future research should focus on optimizing mNGS protocols, integration it with convertional diagnostic tools, and evaluating its cost-effectiveness and clinical impact through larger, multicentric studies. |
| format | Article |
| id | doaj-art-562f77516e9e4fa1be37ce552bfec40c |
| institution | Kabale University |
| issn | 2235-2988 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj-art-562f77516e9e4fa1be37ce552bfec40c2025-01-08T06:11:56ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882025-01-011410.3389/fcimb.2024.13863771386377Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample typesXiaopu Chen0Yong Liang1Wei Yang2Wenzhen He3Zhiqiang Xing4Shunxian Li5Shaoyu Cai6Jiping Fu7Xiaotang Peng8Manli Chen9Jiaming Wu10Department of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Research and Development, Shenzhen Xbiome Biotech Co. Ltd., Shenzhen, ChinaGeneMind Biosciences Company Limited, Shenzhen, Guangdong, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Diagnosis Technology Transformation, SK Medical Technology Co, Ltd, Beijing, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaBackgroundMetagenomic high-throughput sequencing (mNGS) represents a powerful tool for detecting nucleic acids from various pathogens, such as bacteria, fungi, viruses and parasites, in clinical samples. Despite its extensively employed in the pathogen diagnosis for various infectious diseases, its application in diagnosing stroke-related infection, and its potential impact on clinical decision-making, anti-infection treatment, clinical intervention, and patient prognosis remain insufficiently explored. Additionally, while mNGS offers promising potential, it facts limitations related to sensitivity, specificity, cost, and standardization, which could influence its integration into routine clinical practice.MethodsWe retrospectively analyzed 18 stroke patients admitted to the First Affiliated Hospital of Medical College of Shantou University from January to February 2023, comparing culture-based methods with mNGS detection, and assessing its significance in etiological diagnosis. Additionally, we evaluated the performance differences among various sequencing platforms.ResultsAmong the 18 stroke patients enrolled, pulmonary infections were identified in 7 cases, urinary tract infections in 1 case, central nervous system infections in 10 cases, and combined pulmonary and central nervous system infections in 2 cases, with 2 cases yielding negative results. mNGS detected pathogens in 13 cases, aligning with clinical diagnoses (75% concordance), whereas culture-based methods yielded positive results in only 6 cases (22% concordance). Importantly, for 9 of the 18 patients, adjustments to anti-infective treatment regimens based on mNGS results led to improved symptomatic relief and infection control. This suggests that mNGS can contribute to more timely and precise treatment modifications, particularly for infections with low pathogen loads, potentially enhancing clinical outcomes.ConclusionOur findings highlights the utility of mNGS in diagnosing stroke-associated infections by providing a more comprehensive etiological diagnosis compared to traditional method. While mNGS shows promise in enhancing diagnostic accuracy and guiding clinical treatment, it high cost and technical challenges need addressing before widespread clinical adoption. Future research should focus on optimizing mNGS protocols, integration it with convertional diagnostic tools, and evaluating its cost-effectiveness and clinical impact through larger, multicentric studies.https://www.frontiersin.org/articles/10.3389/fcimb.2024.1386377/fullnext-generation sequencingstroke-related infectionsdiagnostic effecttreatmentdepartment of neurology |
| spellingShingle | Xiaopu Chen Yong Liang Wei Yang Wenzhen He Zhiqiang Xing Shunxian Li Shaoyu Cai Jiping Fu Xiaotang Peng Manli Chen Jiaming Wu Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types Frontiers in Cellular and Infection Microbiology next-generation sequencing stroke-related infections diagnostic effect treatment department of neurology |
| title | Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types |
| title_full | Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types |
| title_fullStr | Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types |
| title_full_unstemmed | Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types |
| title_short | Application of metagenomic next-generation sequencing in the diagnosis of post-stroke infections: a case series study using multiple sample types |
| title_sort | application of metagenomic next generation sequencing in the diagnosis of post stroke infections a case series study using multiple sample types |
| topic | next-generation sequencing stroke-related infections diagnostic effect treatment department of neurology |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2024.1386377/full |
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