Recombinant monoclonal antibodies (mAbs) are widely used across therapeutic areas, and their glycosylation plays a critical role in product quality, manufacturing consistency, and biosimilarity assessment. A middle-down nuclear magnetic resonance (NMR) method has been developed to profile mAb glycan distribution while preserving the covalent bond between glycan and mAb domains, e.g., the fragment crystallizable (Fc) domain. The workflow uses the immunoglobulin-degrading enzyme from Streptococcus pyogenes (IdeS) to generate Fc fragments that are purified, denatured, and dissolved in urea prior to high-resolution two-dimensional 1H–13C heteronuclear single quantum coherence (2D 1H–13C HSQC) NMR spectrum collection. The resulting anomeric peak distribution reveals major and minor glycan species, including the trimannosyl core, high-mannose variants, and branch-specific galactosylation. Compared with traditional glycan mapping, which requires enzymatic cleavage on glycan and liquid chromatography separation, middle-down NMR provides a non-invasive analysis that preserves glycan integrity and enables comprehensive, semi-quantitative monosaccharide profiling. The method requires 3 to 4 days with ∼4 to 5 hr of hands-on time and can be readily implemented in regulated environments for development and quality control. Basic biochemistry and 2D NMR skills are enough to efficiently apply this protocol in a streamlined workflow. Published 2025. This article is a U.S. Government work and is in the public domain in the USA.
{"title":"Middle-Down Nuclear Magnetic Resonance for Therapeutic Monoclonal Antibody Glycan Profiling","authors":"Jiayi Li, Grace Zhang, Kang Chen","doi":"10.1002/cpz1.70239","DOIUrl":"https://doi.org/10.1002/cpz1.70239","url":null,"abstract":"<p>Recombinant monoclonal antibodies (mAbs) are widely used across therapeutic areas, and their glycosylation plays a critical role in product quality, manufacturing consistency, and biosimilarity assessment. A middle-down nuclear magnetic resonance (NMR) method has been developed to profile mAb glycan distribution while preserving the covalent bond between glycan and mAb domains, e.g., the fragment crystallizable (Fc) domain. The workflow uses the immunoglobulin-degrading enzyme from <i>Streptococcus pyogenes</i> (IdeS) to generate Fc fragments that are purified, denatured, and dissolved in urea prior to high-resolution two-dimensional <sup>1</sup>H–<sup>13</sup>C heteronuclear single quantum coherence (2D <sup>1</sup>H–<sup>13</sup>C HSQC) NMR spectrum collection. The resulting anomeric peak distribution reveals major and minor glycan species, including the trimannosyl core, high-mannose variants, and branch-specific galactosylation. Compared with traditional glycan mapping, which requires enzymatic cleavage on glycan and liquid chromatography separation, middle-down NMR provides a non-invasive analysis that preserves glycan integrity and enables comprehensive, semi-quantitative monosaccharide profiling. The method requires 3 to 4 days with ∼4 to 5 hr of hands-on time and can be readily implemented in regulated environments for development and quality control. Basic biochemistry and 2D NMR skills are enough to efficiently apply this protocol in a streamlined workflow. Published 2025. This article is a U.S. Government work and is in the public domain in the USA.</p><p><b>Basic Protocol 1</b>: mAb-Fc sample preparation</p><p><b>Basic Protocol 2</b>: 2D NMR of HSQC peak profile</p>","PeriodicalId":93970,"journal":{"name":"Current protocols","volume":"5 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145429299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shirleen Xu, Abdul Nabiel Mumuni, Ralph Thadeus S. Tuason, Katherine A. Maki
Saliva plays a central role in maintaining oral homeostasis by supporting tooth integrity, providing lubrication, and functioning as an antimicrobial wash. It also serves as a transport medium, carrying byproducts and signaling metabolites across oral niches and through the gastrointestinal tract. Because of its biological relevance and ease of collection, saliva is increasingly used as a noninvasive biospecimen for measuring cortisol, cytokines, and metabolites. However, the validity and reliability of saliva as an indicator of local and systemic biomarkers remain under investigation across diverse populations and research applications. Specific patient populations (e.g., individuals with alcohol use disorder) are particularly vulnerable to oral health problems, periodontal disease, and high rates of nicotine use. In addition to behavioral factors (e.g., food, drink, toothbrushing, and mouthwash), patient-specific variables can introduce contaminants such as nicotine and blood into saliva, potentially compromising the accurate measurement of analytes of interest. Protocols that account for possible contaminants are essential to ensure rigorous and reproducible biomarker research. Assessing factors such as pH, flow rate, and visible discoloration helps reduce limitations in analysis and improves interpretation in studies that include heterogeneous populations and health behaviors. Yet, the literature provides limited guidance on standardized methods for saliva collection, processing, and measurement of patient-specific confounders alongside analytes of interest. This protocol addresses these gaps by presenting detailed methodologies for saliva collection and processing, assessment of quantitative and qualitative salivary properties, and quantification of patient-specific modifiers. These approaches support reproducible diagnostics and have applications in populations with high rates of smoking, periodontal disease, and alcohol use. Published 2025. This article is a U.S. Government work and is in the public domain in the USA. Current Protocols published by Wiley Periodicals LLC.
Basic Protocol 1: Saliva collection by the passive drool method
Basic Protocol 2: Processing, storage, and characterization of saliva (visual assessment scale, pH, and flow rate)
Basic Protocol 3: Quantification of cotinine in salivary supernatant
Basic Protocol 4: Quantification of transferrin in salivary supernatant
{"title":"Methodological Considerations in Saliva-Based Biomarker Research: Addressing Patient-Specific Variability in Translational Research Protocols","authors":"Shirleen Xu, Abdul Nabiel Mumuni, Ralph Thadeus S. Tuason, Katherine A. Maki","doi":"10.1002/cpz1.70235","DOIUrl":"10.1002/cpz1.70235","url":null,"abstract":"<p>Saliva plays a central role in maintaining oral homeostasis by supporting tooth integrity, providing lubrication, and functioning as an antimicrobial wash. It also serves as a transport medium, carrying byproducts and signaling metabolites across oral niches and through the gastrointestinal tract. Because of its biological relevance and ease of collection, saliva is increasingly used as a noninvasive biospecimen for measuring cortisol, cytokines, and metabolites. However, the validity and reliability of saliva as an indicator of local and systemic biomarkers remain under investigation across diverse populations and research applications. Specific patient populations (e.g., individuals with alcohol use disorder) are particularly vulnerable to oral health problems, periodontal disease, and high rates of nicotine use. In addition to behavioral factors (e.g., food, drink, toothbrushing, and mouthwash), patient-specific variables can introduce contaminants such as nicotine and blood into saliva, potentially compromising the accurate measurement of analytes of interest. Protocols that account for possible contaminants are essential to ensure rigorous and reproducible biomarker research. Assessing factors such as pH, flow rate, and visible discoloration helps reduce limitations in analysis and improves interpretation in studies that include heterogeneous populations and health behaviors. Yet, the literature provides limited guidance on standardized methods for saliva collection, processing, and measurement of patient-specific confounders alongside analytes of interest. This protocol addresses these gaps by presenting detailed methodologies for saliva collection and processing, assessment of quantitative and qualitative salivary properties, and quantification of patient-specific modifiers. These approaches support reproducible diagnostics and have applications in populations with high rates of smoking, periodontal disease, and alcohol use. Published 2025. This article is a U.S. Government work and is in the public domain in the USA. Current Protocols published by Wiley Periodicals LLC.</p><p><b>Basic Protocol 1</b>: Saliva collection by the passive drool method</p><p><b>Basic Protocol 2</b>: Processing, storage, and characterization of saliva (visual assessment scale, pH, and flow rate)</p><p><b>Basic Protocol 3</b>: Quantification of cotinine in salivary supernatant</p><p><b>Basic Protocol 4</b>: Quantification of transferrin in salivary supernatant</p>","PeriodicalId":93970,"journal":{"name":"Current protocols","volume":"5 10","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12560811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145380440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Karthikeyan Subbiahanadar Chelladurai, Nandha Kumar Suresh, Jackson Durairaj Selvan Christyraj, Kamarajan Rajagopalan, Johnson Retnaraj Samuel Selvan Christyraj, Puja Das
Joy U. Ameloko, Idowu A. Aimola, Hanneda A. Fomukong, Aliyu Salihu, Abdullahi B. Salau, Zeenat B. Kudan, Ruben S. Baba, Solomon Dunason, Habiba H. Abubakar, Kalen E. Audu, Joy B. Karma, Peculiar N. Okoro, Abduljabar Musa, Musa Kana, Benedict Anchang