Pub Date : 2025-01-03DOI: 10.1093/clinchem/hvae103
Patrick R Blackburn, Shaohua Lei, Sujuan Jia, Ruth G Tatevossian, Selene C Koo
{"title":"Liquid Biopsy Detection of a TP53 Variant in a \"Disease-Free\" Pediatric Patient with a History of TP53-Mutant Adrenocortical Carcinoma.","authors":"Patrick R Blackburn, Shaohua Lei, Sujuan Jia, Ruth G Tatevossian, Selene C Koo","doi":"10.1093/clinchem/hvae103","DOIUrl":"https://doi.org/10.1093/clinchem/hvae103","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"71 1","pages":"24-28"},"PeriodicalIF":7.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142920945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1093/clinchem/hvae185
Marie C Smithgall, Abdullah Kilic, Maxwell Weidmann, Kenneth Ofori, Yue Gu, Lahari Koganti, Shijun Mi, Hongai Xia, Jun Shi, Jiuhong Pang, Mahesh Mansukhani, Susan Hsiao, Fann Wu
Background: Candida auris is an emerging multidrug-resistant pathogen. Interpretation of susceptibility testing can be difficult since minimum inhibitory concentration (MIC) breakpoints have not been fully established.
Methods: All C. auris isolates from unique patients identified at a large urban hospital between 2020 and 2024 (n = 66) underwent whole-genome sequencing (WGS). Genomic DNA was extracted from pure culture isolates and underwent PCR-free library preparation. WGS was performed on an Illumina platform (NextSeq2000) with an average coverage of 50×. Genomic analysis was conducted via an adapted GATK-based pipeline using the B11205 strain as the reference genome based on the CDC (MycoSNP) protocol. All isolates underwent FKS1 gene Sanger sequencing for confirmation of WGS results. Genotypic results were correlated with antifungal susceptibility testing.
Results: All clinical isolates were part of Clade I and carried azole resistance mutations in ERG11, TAC1b, and CDR1, consistent with 100% phenotypic fluconazole resistance. Across all isolates, 5 distinct missense variants in FKS1 were identified: one case with p.Ser639Tyr, one case with both a p.Arg1354Ser and a p.Asp642His, 7 cases with p.Met690Ile, and 9 cases with p.Val1818Ile. Isolates with known echinocandin resistance conferring mutations p.Ser639Tyr and p.Arg1354Ser were resistant to micafungin and anidulafungin. Two isolates with Met690Ile were resistant to caspofungin alone.
Conclusions: With potential resistance to all 3 major antifungal classes of drugs, C. auris is an emerging public health threat. Early detection of echinocandin resistance by molecular methods could impact treatment course to include novel antifungal agents. Further study of the FKS1 Met690Ile variant is warranted.
{"title":"Genetic and Phenotypic Intra-Clade Variation in Candida auris Isolated from Critically Ill Patients in a New York City Tertiary Care Center.","authors":"Marie C Smithgall, Abdullah Kilic, Maxwell Weidmann, Kenneth Ofori, Yue Gu, Lahari Koganti, Shijun Mi, Hongai Xia, Jun Shi, Jiuhong Pang, Mahesh Mansukhani, Susan Hsiao, Fann Wu","doi":"10.1093/clinchem/hvae185","DOIUrl":"https://doi.org/10.1093/clinchem/hvae185","url":null,"abstract":"<p><strong>Background: </strong>Candida auris is an emerging multidrug-resistant pathogen. Interpretation of susceptibility testing can be difficult since minimum inhibitory concentration (MIC) breakpoints have not been fully established.</p><p><strong>Methods: </strong>All C. auris isolates from unique patients identified at a large urban hospital between 2020 and 2024 (n = 66) underwent whole-genome sequencing (WGS). Genomic DNA was extracted from pure culture isolates and underwent PCR-free library preparation. WGS was performed on an Illumina platform (NextSeq2000) with an average coverage of 50×. Genomic analysis was conducted via an adapted GATK-based pipeline using the B11205 strain as the reference genome based on the CDC (MycoSNP) protocol. All isolates underwent FKS1 gene Sanger sequencing for confirmation of WGS results. Genotypic results were correlated with antifungal susceptibility testing.</p><p><strong>Results: </strong>All clinical isolates were part of Clade I and carried azole resistance mutations in ERG11, TAC1b, and CDR1, consistent with 100% phenotypic fluconazole resistance. Across all isolates, 5 distinct missense variants in FKS1 were identified: one case with p.Ser639Tyr, one case with both a p.Arg1354Ser and a p.Asp642His, 7 cases with p.Met690Ile, and 9 cases with p.Val1818Ile. Isolates with known echinocandin resistance conferring mutations p.Ser639Tyr and p.Arg1354Ser were resistant to micafungin and anidulafungin. Two isolates with Met690Ile were resistant to caspofungin alone.</p><p><strong>Conclusions: </strong>With potential resistance to all 3 major antifungal classes of drugs, C. auris is an emerging public health threat. Early detection of echinocandin resistance by molecular methods could impact treatment course to include novel antifungal agents. Further study of the FKS1 Met690Ile variant is warranted.</p>","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"71 1","pages":"185-191"},"PeriodicalIF":7.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1093/clinchem/hvae173
Katarzyna Polonis, Joseph H Blommel, Andrew E O Hughes, David Spencer, Joseph A Thompson, Molly C Schroeder
Background: Massively parallel sequencing (MPS) of nucleic acids has been a transformative technology for basic and applied genomic science, increasing efficiencies and decreasing costs to enable studies of unprecedented scope and impact. In clinical settings, these technological and scientific advances have led to the development of tests that are increasingly fast, comprehensive, and more frequently employed. Practitioners of genomic medicine have applied these tools across clinical settings, including diagnosis of inherited disorders and cancers and infectious disease detection and surveillance. In recent years, the commercial marketplace for MPS sequencers and reagents has been dominated by a few companies. The growing demand for sequencing has led to the recent emergence of several new sequencing platforms with techniques that may provide alternatives or improvements to existing workflows or allow the adoption of sequencing workflows in new settings. Clinical genomics laboratories will evaluate these platforms from a unique perspective, focusing on how technological advancements can improve patient care.
Content: This review describes short-read sequencing platforms provided by Illumina, Element Biosciences, MGI, PacBio, Singular Genomics, Thermo Fisher Scientific, and Ultima Genomics. This review discusses their innovative approaches, principles, workflows, and applications.
Summary: This review aims to inform laboratory geneticists, clinicians, and researchers about emerging short-read technologies and their applications in clinical genomics. By highlighting their principles and potential contributions, we aim to assist laboratories in selecting suitable solutions for their sequencing needs considering key factors such as applications, throughput, and integration with existing laboratory workflows.
{"title":"Innovations in Short-Read Sequencing Technologies and Their Applications to Clinical Genomics.","authors":"Katarzyna Polonis, Joseph H Blommel, Andrew E O Hughes, David Spencer, Joseph A Thompson, Molly C Schroeder","doi":"10.1093/clinchem/hvae173","DOIUrl":"https://doi.org/10.1093/clinchem/hvae173","url":null,"abstract":"<p><strong>Background: </strong>Massively parallel sequencing (MPS) of nucleic acids has been a transformative technology for basic and applied genomic science, increasing efficiencies and decreasing costs to enable studies of unprecedented scope and impact. In clinical settings, these technological and scientific advances have led to the development of tests that are increasingly fast, comprehensive, and more frequently employed. Practitioners of genomic medicine have applied these tools across clinical settings, including diagnosis of inherited disorders and cancers and infectious disease detection and surveillance. In recent years, the commercial marketplace for MPS sequencers and reagents has been dominated by a few companies. The growing demand for sequencing has led to the recent emergence of several new sequencing platforms with techniques that may provide alternatives or improvements to existing workflows or allow the adoption of sequencing workflows in new settings. Clinical genomics laboratories will evaluate these platforms from a unique perspective, focusing on how technological advancements can improve patient care.</p><p><strong>Content: </strong>This review describes short-read sequencing platforms provided by Illumina, Element Biosciences, MGI, PacBio, Singular Genomics, Thermo Fisher Scientific, and Ultima Genomics. This review discusses their innovative approaches, principles, workflows, and applications.</p><p><strong>Summary: </strong>This review aims to inform laboratory geneticists, clinicians, and researchers about emerging short-read technologies and their applications in clinical genomics. By highlighting their principles and potential contributions, we aim to assist laboratories in selecting suitable solutions for their sequencing needs considering key factors such as applications, throughput, and integration with existing laboratory workflows.</p>","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"71 1","pages":"97-108"},"PeriodicalIF":7.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1093/clinchem/hvae193
Anne B S Giersch, Cynthia C Morton
Background: Newborn hearing screening is a physiologic screen to identify infants who may be deaf or hard of hearing (DHH) and would benefit from early intervention. Typically, an infant who does not pass the newborn hearing screen is referred for clinical audiology testing, which may be followed by genetic testing to identify the etiology of an infant's DHH.
Content: The current newborn hearing screening paradigm can miss mild cases of DHH or later-onset DHH, leaving a child at risk for unrecognized DHH, which could impact long-term language, communication, and social development. Genomic technologies are improving the diagnosis of DHH in newborns who fail their newborn hearing screen, and a case is being made for genomic screening for DHH in all newborns.
Summary: The genomic era brings a wealth of opportunities to screen newborns for genetic causes of hearing loss on a population wide basis, some of which are already being implemented in a clinical setting.
{"title":"Newborn Screening for Deafness/Hard of Hearing in the Genomic Era.","authors":"Anne B S Giersch, Cynthia C Morton","doi":"10.1093/clinchem/hvae193","DOIUrl":"https://doi.org/10.1093/clinchem/hvae193","url":null,"abstract":"<p><strong>Background: </strong>Newborn hearing screening is a physiologic screen to identify infants who may be deaf or hard of hearing (DHH) and would benefit from early intervention. Typically, an infant who does not pass the newborn hearing screen is referred for clinical audiology testing, which may be followed by genetic testing to identify the etiology of an infant's DHH.</p><p><strong>Content: </strong>The current newborn hearing screening paradigm can miss mild cases of DHH or later-onset DHH, leaving a child at risk for unrecognized DHH, which could impact long-term language, communication, and social development. Genomic technologies are improving the diagnosis of DHH in newborns who fail their newborn hearing screen, and a case is being made for genomic screening for DHH in all newborns.</p><p><strong>Summary: </strong>The genomic era brings a wealth of opportunities to screen newborns for genetic causes of hearing loss on a population wide basis, some of which are already being implemented in a clinical setting.</p>","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"71 1","pages":"54-60"},"PeriodicalIF":7.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1093/clinchem/hvae195
Laura K Conlin, Melissa J Landrum, Robert R Freimuth, Birgit Funke
Background: Genetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large "megabase level" copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic "small variants" such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications. The boundaries between these approaches are now increasingly blurred as next-generation sequencing technologies and their use for genome-wide analysis are used by both disciplines, therefore eliminating the historic and somewhat artificial separation driven by variant type.
Content: This review discusses the history of genomic nomenclature across both fields, summarizes implementation challenges for the clinical genetics community, and identifies key considerations for enabling a seamless connection of the stakeholders that consume variant descriptions.
Summary: Standardization is naturally a lengthy and complex process that requires consensus building between different stakeholders. Developing a standard that not only fits the multitude of needs across the entities that consume genetic variant information but also works equally well for all genetic variant types is an ambitious goal that calls for revisiting this vision.
{"title":"Standardization of Genomic Nomenclature across a Diverse Ecosystem of Stakeholders: Evolution and Challenges.","authors":"Laura K Conlin, Melissa J Landrum, Robert R Freimuth, Birgit Funke","doi":"10.1093/clinchem/hvae195","DOIUrl":"10.1093/clinchem/hvae195","url":null,"abstract":"<p><strong>Background: </strong>Genetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large \"megabase level\" copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic \"small variants\" such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications. The boundaries between these approaches are now increasingly blurred as next-generation sequencing technologies and their use for genome-wide analysis are used by both disciplines, therefore eliminating the historic and somewhat artificial separation driven by variant type.</p><p><strong>Content: </strong>This review discusses the history of genomic nomenclature across both fields, summarizes implementation challenges for the clinical genetics community, and identifies key considerations for enabling a seamless connection of the stakeholders that consume variant descriptions.</p><p><strong>Summary: </strong>Standardization is naturally a lengthy and complex process that requires consensus building between different stakeholders. Developing a standard that not only fits the multitude of needs across the entities that consume genetic variant information but also works equally well for all genetic variant types is an ambitious goal that calls for revisiting this vision.</p>","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"71 1","pages":"45-53"},"PeriodicalIF":7.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11695870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1093/clinchem/hvae184
Candace T Myers, Runjun D Kumar, Lisa Pilgram, Luca Bonomi, Mara Thomas, Obi L Griffith, Stephanie M Fullerton, Richard A Gibbs
{"title":"Genomic Data and Privacy.","authors":"Candace T Myers, Runjun D Kumar, Lisa Pilgram, Luca Bonomi, Mara Thomas, Obi L Griffith, Stephanie M Fullerton, Richard A Gibbs","doi":"10.1093/clinchem/hvae184","DOIUrl":"https://doi.org/10.1093/clinchem/hvae184","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"71 1","pages":"10-17"},"PeriodicalIF":7.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-30DOI: 10.1093/clinchem/hvae208
Giulia Angelini, Simona Panunzi, Maurizio Pompili, Laura Riccardi, Matteo Garcovich, Ornella Verrastro, Sara Russo, Tracey Mare, James Luxton, Carel W le Roux, Marco Raffaelli, Geltrude Mingrone, Royce P Vincent
Background Noninvasive tests (NITs) to monitor metabolic dysfunction-associated steatohepatitis (MASH) progression and response to interventions are needed because of the risks of liver biopsy. A monocytes-based diagnostic test using perilipin-2 (PLIN2) and Ras-related protein-14 (RAB14) predict the severity of MASH and fibrosis. Here we compared the performances of PLIN2 and RAB14 with cytokeratin-18 (CK18) assessed by Ella™ or M65 ELISA in predicting MASH and fibrosis resolution following bariatric surgery in a longitudinal and histologically characterized cohort of individuals with obesity. Methods Participants in the BRAVES randomized controlled trial underwent ultrasound-guided needle liver biopsy at baseline and 1 year after surgery. We evaluated NITs’ performance using area under the receiver operating characteristic and calculated accuracy, sensitivity, and specificity based on the Youden threshold. Univariable and multivariable logistic models were used to assess the role of recorded covariates in predicting MASH and fibrosis severity, as well as resolution or improvement. Results After surgery, patients who experienced MASH improvement or resolution showed a significant decrease in PLIN2 expression as compared to those who did not, while patients with fibrosis improvement displayed an increase in RAB14. No differences were found for CK18. The diagnostic accuracy of PLIN2 and RAB14 for the prediction of MASH resolution or fibrosis improvement was superior to CK18 assessed by either Ella or M65 ELISA. Conclusions PLIN2 and RAB14, but not CK18, are markers for monitoring improvements in MASH and fibrosis after interventions such as bariatric surgery. This may reduce or eliminate the need for frequent liver biopsies. ClinicalTrials.gov Registration Number: NCT03524365
{"title":"Performance of Noninvasive Tests for Metabolic Dysfunction-Associated Steatohepatitis and Liver Fibrosis Resolution after Bariatric Surgery","authors":"Giulia Angelini, Simona Panunzi, Maurizio Pompili, Laura Riccardi, Matteo Garcovich, Ornella Verrastro, Sara Russo, Tracey Mare, James Luxton, Carel W le Roux, Marco Raffaelli, Geltrude Mingrone, Royce P Vincent","doi":"10.1093/clinchem/hvae208","DOIUrl":"https://doi.org/10.1093/clinchem/hvae208","url":null,"abstract":"Background Noninvasive tests (NITs) to monitor metabolic dysfunction-associated steatohepatitis (MASH) progression and response to interventions are needed because of the risks of liver biopsy. A monocytes-based diagnostic test using perilipin-2 (PLIN2) and Ras-related protein-14 (RAB14) predict the severity of MASH and fibrosis. Here we compared the performances of PLIN2 and RAB14 with cytokeratin-18 (CK18) assessed by Ella™ or M65 ELISA in predicting MASH and fibrosis resolution following bariatric surgery in a longitudinal and histologically characterized cohort of individuals with obesity. Methods Participants in the BRAVES randomized controlled trial underwent ultrasound-guided needle liver biopsy at baseline and 1 year after surgery. We evaluated NITs’ performance using area under the receiver operating characteristic and calculated accuracy, sensitivity, and specificity based on the Youden threshold. Univariable and multivariable logistic models were used to assess the role of recorded covariates in predicting MASH and fibrosis severity, as well as resolution or improvement. Results After surgery, patients who experienced MASH improvement or resolution showed a significant decrease in PLIN2 expression as compared to those who did not, while patients with fibrosis improvement displayed an increase in RAB14. No differences were found for CK18. The diagnostic accuracy of PLIN2 and RAB14 for the prediction of MASH resolution or fibrosis improvement was superior to CK18 assessed by either Ella or M65 ELISA. Conclusions PLIN2 and RAB14, but not CK18, are markers for monitoring improvements in MASH and fibrosis after interventions such as bariatric surgery. This may reduce or eliminate the need for frequent liver biopsies. ClinicalTrials.gov Registration Number: NCT03524365","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"4 1","pages":""},"PeriodicalIF":9.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-26DOI: 10.1093/clinchem/hvae187
Samreen Falak,Denise M O'Sullivan,Megan H Cleveland,Simon Cowen,Eloise J Busby,Alison S Devonshire,Esmeralda Valiente,Gerwyn M Jones,Martin Kammel,Mojca Milavec,Laura Vierbaum,Ingo Schellenberg,Heinz Zeichhardt,Andreas Kummrow,Peter M Vallone,Rainer Macdonald,Jim F Huggett
BACKGROUNDNucleic acid amplification tests (NAATs) assist in the diagnosis of numerous infectious diseases. They are typically sensitive and specific and can be quickly developed and adapted. Far more challenging is the development of standards to ensure NAATs are performing within specification; reference materials take time to develop and suitable reference measurement procedures (RMPs) have not been available. This study investigated digital PCR (dPCR) RMP delivery of traceability for NAAT external quality assessment (EQA).METHODSThree National Metrology Institutes (NMIs) applied reverse transcription (RT)-dPCR as a candidate RMP to estimate the RNA quantity in 32 independent severe acute respiratory syndrome coronavirus 2 materials. The results were combined to value assign the respective materials: 21 materials were used in 6 rounds of EQA over 17 months for 61 laboratories for COVID-19 testing results compared with reference values.RESULTSThe agreement between the 3 NMIs showed <2-fold difference between laboratories. EQA laboratory reverse transcription quantitative PCR (RT-qPCR) values estimation of viral RNA quantity showed good median agreement with RT-dPCR reference value; however, RT-qPCR differences were generally between 10- and 50-fold between laboratories.CONCLUSIONThis work demonstrates how RT-dPCR can provide reference values for whole virus materials for NAAT quality assurance. RT-dPCR values guided EQA control material selection and provided EQA participants with traceability to RNA copy number delivered through the RMP. This approach can be used to support routine reference material use as well as to standardize quality assurance for NAATs where established reference materials are not available, such as in disease outbreaks.
{"title":"The Application of Digital PCR as a Reference Measurement Procedure to Support the Accuracy of Quality Assurance for Infectious Disease Molecular Diagnostic Testing.","authors":"Samreen Falak,Denise M O'Sullivan,Megan H Cleveland,Simon Cowen,Eloise J Busby,Alison S Devonshire,Esmeralda Valiente,Gerwyn M Jones,Martin Kammel,Mojca Milavec,Laura Vierbaum,Ingo Schellenberg,Heinz Zeichhardt,Andreas Kummrow,Peter M Vallone,Rainer Macdonald,Jim F Huggett","doi":"10.1093/clinchem/hvae187","DOIUrl":"https://doi.org/10.1093/clinchem/hvae187","url":null,"abstract":"BACKGROUNDNucleic acid amplification tests (NAATs) assist in the diagnosis of numerous infectious diseases. They are typically sensitive and specific and can be quickly developed and adapted. Far more challenging is the development of standards to ensure NAATs are performing within specification; reference materials take time to develop and suitable reference measurement procedures (RMPs) have not been available. This study investigated digital PCR (dPCR) RMP delivery of traceability for NAAT external quality assessment (EQA).METHODSThree National Metrology Institutes (NMIs) applied reverse transcription (RT)-dPCR as a candidate RMP to estimate the RNA quantity in 32 independent severe acute respiratory syndrome coronavirus 2 materials. The results were combined to value assign the respective materials: 21 materials were used in 6 rounds of EQA over 17 months for 61 laboratories for COVID-19 testing results compared with reference values.RESULTSThe agreement between the 3 NMIs showed <2-fold difference between laboratories. EQA laboratory reverse transcription quantitative PCR (RT-qPCR) values estimation of viral RNA quantity showed good median agreement with RT-dPCR reference value; however, RT-qPCR differences were generally between 10- and 50-fold between laboratories.CONCLUSIONThis work demonstrates how RT-dPCR can provide reference values for whole virus materials for NAAT quality assurance. RT-dPCR values guided EQA control material selection and provided EQA participants with traceability to RNA copy number delivered through the RMP. This approach can be used to support routine reference material use as well as to standardize quality assurance for NAATs where established reference materials are not available, such as in disease outbreaks.","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"130 1","pages":""},"PeriodicalIF":9.3,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-26DOI: 10.1093/clinchem/hvae211
Katheryn A Q Cousins,Leslie M Shaw
{"title":"Transitioning Alzheimer Disease Blood Biomarkers into Primary Care: Are We There Yet?","authors":"Katheryn A Q Cousins,Leslie M Shaw","doi":"10.1093/clinchem/hvae211","DOIUrl":"https://doi.org/10.1093/clinchem/hvae211","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"87 1","pages":""},"PeriodicalIF":9.3,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-26DOI: 10.1093/clinchem/hvae219
Martin A Smith
{"title":"Evolving Perspectives on Immune Repertoire Profiling: Challenges and Opportunities in the Era of Long-Read Sequencing.","authors":"Martin A Smith","doi":"10.1093/clinchem/hvae219","DOIUrl":"https://doi.org/10.1093/clinchem/hvae219","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"25 1","pages":""},"PeriodicalIF":9.3,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}