Affinity molecular assay for detecting Candida albicans using chitin affinity and RPA-CRISPR/Cas12a
Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enr...
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Published in | Nature communications Vol. 15; no. 1; pp. 9304 - 16 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Nature Publishing Group UK
28.10.2024
Nature Publishing Group Nature Portfolio |
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Abstract | Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of
C. albicans
in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance.
IFIs pose a significant threat to immunocompromised individuals, and there is an urgent need for rapid and sensitive diagnostic assays. Here, the authors present a rapid molecular diagnostic method based on magnetic fungal enrichment and CRISPR-based detection. |
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AbstractList | Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of
C. albicans
in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance.
IFIs pose a significant threat to immunocompromised individuals, and there is an urgent need for rapid and sensitive diagnostic assays. Here, the authors present a rapid molecular diagnostic method based on magnetic fungal enrichment and CRISPR-based detection. Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of C. albicans in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance.Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of C. albicans in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance. Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of C. albicans in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance.IFIs pose a significant threat to immunocompromised individuals, and there is an urgent need for rapid and sensitive diagnostic assays. Here, the authors present a rapid molecular diagnostic method based on magnetic fungal enrichment and CRISPR-based detection. Abstract Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of C. albicans in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance. Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and accurate diagnosis is essential for effective treatment. Here we develop a rapid molecular diagnostic method that involves three steps: fungal enrichment using affinity-magnetic separation (AMS), genomic DNA extraction with silicon hydroxyl magnetic beads, and detection through a one-pot system. This method, optimized to detect 30 CFU/mL of C. albicans in blood and bronchoalveolar lavage (BAL) samples within 2.5 h, is approximately 100 times more sensitive than microscopy-based staining. Initial validation using clinical samples showed 93.93% sensitivity, 100% specificity, and high predictive values, while simulated tests demonstrated 95% sensitivity and 100% specificity. This cost-effective, highly sensitive technique offers potential for use in resource-limited clinical settings and can be easily adapted to differentiate between fungal species and detect drug resistance. |
ArticleNumber | 9304 |
Author | Cai, Xuefei Chen, Liang Shen, Shimei Wang, Wen Huang, Ailong Li, Yalan Zhao, Yanan Wang, Deqiang Zhang, Jin Wei, Jie Wang, Shilei Ma, Yuanyan Wu, Xiaoli Zhang, Shaocheng Niu, Siqiang |
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Affiliated Hospital of Chongqing Medical University, Department of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College (Nuclear Industry 416 Hospital) – sequence: 3 givenname: Yuanyan surname: Ma fullname: Ma, Yuanyan organization: Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), Department of Laboratory Medicine, Chongqing Medical University, The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, The Second Affiliated Hospital, Chongqing Medical University – sequence: 4 givenname: Shilei surname: Wang fullname: Wang, Shilei organization: Department of Dermatology and Cosmetology, Chongqing Hospital of Traditional Chinese Medicine – sequence: 5 givenname: Shaocheng orcidid: 0000-0003-3620-1616 surname: Zhang fullname: Zhang, Shaocheng organization: Department of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College (Nuclear Industry 416 Hospital), School of Clinical Medicine, Chengdu Medical College – sequence: 6 givenname: Xuefei surname: Cai fullname: Cai, Xuefei organization: The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, The Second Affiliated Hospital, Chongqing Medical University – sequence: 7 givenname: Liang orcidid: 0000-0001-5845-2235 surname: Chen fullname: Chen, Liang organization: Department of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo – sequence: 8 givenname: Jin surname: Zhang fullname: Zhang, Jin organization: Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), Department of Laboratory Medicine, Chongqing Medical University, The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, The Second Affiliated Hospital, Chongqing Medical University – sequence: 9 givenname: Yalan surname: Li fullname: Li, Yalan 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yananzh@buffalo.edu organization: Department of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo – sequence: 13 givenname: Ailong orcidid: 0000-0003-0148-7423 surname: Huang fullname: Huang, Ailong email: ahuang@cqmu.edu.cn organization: The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, The Second Affiliated Hospital, Chongqing Medical University – sequence: 14 givenname: Siqiang surname: Niu fullname: Niu, Siqiang email: siqiangniu@cqmu.edu.cn organization: Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University – sequence: 15 givenname: Deqiang orcidid: 0009-0004-0643-4376 surname: Wang fullname: Wang, Deqiang email: wangdq333@cqmu.edu.cn organization: Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), Department of Laboratory Medicine, Chongqing Medical University, The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, The Second Affiliated Hospital, Chongqing Medical University, Western (Chongqing) Collaborative Innovation Center for Intelligent Diagnostics and Digital Medicine, Chongqing National Biomedicine Industry Park |
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CitedBy_id | crossref_primary_10_1016_j_aca_2025_343687 crossref_primary_10_1016_j_colsurfb_2025_114541 crossref_primary_10_1016_j_microb_2025_100281 |
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Snippet | Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt and... Abstract Invasive fungal infections (IFIs) pose a significant threat to immunocompromised individuals, leading to considerable morbidity and mortality. Prompt... |
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SubjectTerms | 59 631/208/4041 631/61/32 692/53/2421 692/699/255/1672 Affinity Bacterial Proteins Bronchoalveolar Lavage Fluid - microbiology Bronchus Candida albicans - genetics Candida albicans - isolation & purification Candidiasis - diagnosis Candidiasis - microbiology Chitin Chitin - metabolism CRISPR CRISPR-Associated Proteins CRISPR-Cas Systems Diagnostic systems DNA, Fungal - genetics Drug resistance Endodeoxyribonucleases - genetics Endodeoxyribonucleases - metabolism Fungi Humanities and Social Sciences Humans Lavage Magnetic separation Morbidity multidisciplinary Science Science (multidisciplinary) Sensitivity Sensitivity and Specificity |
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Title | Affinity molecular assay for detecting Candida albicans using chitin affinity and RPA-CRISPR/Cas12a |
URI | https://link.springer.com/article/10.1038/s41467-024-53693-5 https://www.ncbi.nlm.nih.gov/pubmed/39468064 https://www.proquest.com/docview/3121435511 https://www.proquest.com/docview/3121593064 https://pubmed.ncbi.nlm.nih.gov/PMC11519397 https://doaj.org/article/5f568da50e274414b13ba2955162cb73 |
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