{"title":"Correction to: Whose Role Is It, Anyway? Ensuring Correct Genomic Variant Nomenclature in Published Literature.","authors":"","doi":"10.1093/clinchem/hvag134","DOIUrl":"https://doi.org/10.1093/clinchem/hvag134","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":" ","pages":""},"PeriodicalIF":8.3,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149215183","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}
{"title":"Correction to: Current and Future Indication for Testing and Use of Cardiac Troponin in Children.","authors":"","doi":"10.1093/clinchem/hvag151","DOIUrl":"https://doi.org/10.1093/clinchem/hvag151","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":" ","pages":""},"PeriodicalIF":8.3,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149191689","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}
Anna A Ivanova, David M Schieltz, Michael S Gardner, Bryan A Parks, Eric C Leszczynski, Mark A Sarzynski, Virginia B Kraus, William E Kraus, Zsuzsanna Kuklenyik, John R Barr
{"title":"Association between Glycoprotein Acetylation-Indicated Inflammation and Small HDL Particle Number in Coronary Artery Disease.","authors":"Anna A Ivanova, David M Schieltz, Michael S Gardner, Bryan A Parks, Eric C Leszczynski, Mark A Sarzynski, Virginia B Kraus, William E Kraus, Zsuzsanna Kuklenyik, John R Barr","doi":"10.1093/clinchem/hvag129","DOIUrl":"https://doi.org/10.1093/clinchem/hvag129","url":null,"abstract":"<p><strong>Background: </strong>Glycoprotein acetylation (GlycA) is a nuclear magnetic resonance-derived biomarker of systemic inflammation. GlycA shows statistical interaction with small HDL particle number (s-HDL-P) in relation to coronary artery disease (CAD). This study examines the confounding effects of GlycA-related glycoproteins, hypertriglyceridemia, and s-HDL-P on CAD risk.</p><p><strong>Methods: </strong>Plasma samples from 752 participants in the CATHGEN biorepository were size-fractionated by asymmetric flow field-flow fractionation and analyzed by targeted proteomics and lipidomics. Fraction concentrations were converted to HDL particle number using a volumetric approach based on apolipoprotein A-I (APOA1) concentration, HDL size, and lipoprotein lipid composition. Correlations between GlycA, glycoproteins, total triglyceride (TG), HDL composition and HDL particle number, and their associations with CAD were assessed using multivariate least-squares fit and nominal logistic regression analysis, respectively.</p><p><strong>Results: </strong>Acute-phase inflammation-related glycoproteins (GlycA-proteins) correlated strongly with GlycA. However, the size-distribution profiles of GlycA-proteins were consistent with circulation as free dimers/trimers, and their lack of overlap with APOA1 profiles suggested no detectable HDL binding. In contrast, apolipoproteins and lipid transfer proteins showed size-profile shifts relative to APOA1 consistent with HDL binding. s-HDL-P showed an inverse association with GlycA, most significantly at low TG levels. In CAD models, significant GlycA × s-HDL-P interaction emerged only when TG was included as a covariate. CAD correlated with lipoprotein lipids, apolipoproteins, and lipid transfer proteins that influence lipoprotein remodeling.</p><p><strong>Conclusions: </strong>GlycA-proteins circulate freely without direct HDL binding. The empirical GlycA × s-HDL-P interaction is consistent with indirect coupling between systemic inflammation and altered lipoprotein remodeling associated with CAD risk.</p>","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":" ","pages":""},"PeriodicalIF":8.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149191761","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}
{"title":"Fragments and Ratios-The Next Wave for Cardiac Troponin Testing?","authors":"Saara Wittfooth","doi":"10.1093/clinchem/hvag148","DOIUrl":"https://doi.org/10.1093/clinchem/hvag148","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":" ","pages":""},"PeriodicalIF":8.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149179864","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}
Vivek Pant, Jean Marc Giannoli, Greg Miller, Hassan Bayat, Hikmet Can Çubukçu, Mauro Panteghini, Sverre Sandberg, Tony Badrick
{"title":"What Should Internal Quality Control Look Like in 2030?","authors":"Vivek Pant, Jean Marc Giannoli, Greg Miller, Hassan Bayat, Hikmet Can Çubukçu, Mauro Panteghini, Sverre Sandberg, Tony Badrick","doi":"10.1093/clinchem/hvag145","DOIUrl":"https://doi.org/10.1093/clinchem/hvag145","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":" ","pages":""},"PeriodicalIF":8.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149179892","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}
Alexandra Emmanuel,Kelly D Smith,William Catungal,Erinn Kuest,Han-Yin Yang,Deanna L Plubell,Songlin Yu,Jingxiang Ma,Niklas Krumm,Christine C Wu,William S Noble,Brian C Searle,Michael J MacCoss,Andrew N Hoofnagle,William S Phipps
{"title":"Reproducible Amyloid Typing by Data-Independent Acquisition Mass Spectrometry","authors":"Alexandra Emmanuel,Kelly D Smith,William Catungal,Erinn Kuest,Han-Yin Yang,Deanna L Plubell,Songlin Yu,Jingxiang Ma,Niklas Krumm,Christine C Wu,William S Noble,Brian C Searle,Michael J MacCoss,Andrew N Hoofnagle,William S Phipps","doi":"10.1093/clinchem/hvag132","DOIUrl":"https://doi.org/10.1093/clinchem/hvag132","url":null,"abstract":"Abstract Background Mass spectrometry (MS) remains underutilized in the evaluation of formalin-fixed, paraffin-embedded (FFPE) tissue. Clinical deployment of MS in anatomic pathology is largely confined to data-dependent acquisition (DDA) work flows for amyloid typing. Alternative acquisition strategies such as data-independent acquisition (DIA) enable quantitative, peptide-centric tissue analysis and can expand MS use in biopsy evaluation. Methods We performed DIA-based LC-MS/MS analyses of amyloid-positive tissue specimens alongside an established DDA clinical work flow. The DIA pipeline incorporated automated data processing to support standardization and transferability. Peptide peak areas were extracted using Skyline, and machine-learning classifiers and peptide scoring rules were developed to predict amyloid type. Results DIA peptide measurements were evaluated across 304 amyloid-positive tissue specimens representing 16 discrete amyloid types. In a development group (n = 259), a random forest classifier enabled accurate classification of the five most common amyloid types from individual LC-DIA-MS/MS injections: λ and κ immunoglobulin light chain, transthyretin, leukocyte chemotactic factor 2, and serum amyloid A. In prospective evaluation (n = 45), the combined DIA classification strategy was fully concordant with the reference DDA clinical assignments. Amyloid types not represented in classifier training were resolved using peptide-level diagnostic signals evaluated against empirically derived intensity thresholds. Conclusions DIA-based mass spectrometry enables reproducible peptide-level classification of amyloid deposits in FFPE tissue. Combined with standardized data processing, machine-learning classification, and rule-based peptide scoring, this approach provides a scalable framework for proteomic amyloid typing. More broadly, it may support wider adoption of mass spectrometry for peptide biomarker quantification in anatomic pathology.","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"42 1","pages":""},"PeriodicalIF":9.3,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149088881","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}
{"title":"Commentary on Diagnostic Challenges in γ-Heavy Chain Disease: A Case of Overestimated IgG Concentration.","authors":"Rebecca S Treger","doi":"10.1093/clinchem/hvag102","DOIUrl":"https://doi.org/10.1093/clinchem/hvag102","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"72 10","pages":"1023-1024"},"PeriodicalIF":8.3,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149105300","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}
{"title":"Mining and Refining Elusive Microproteins from Noncanonical Open Reading Frames.","authors":"Yifei K Yang","doi":"10.1093/clinchem/hvag107","DOIUrl":"https://doi.org/10.1093/clinchem/hvag107","url":null,"abstract":"","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"72 10","pages":"1101-1103"},"PeriodicalIF":8.3,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149105362","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}