Aptasensors for NNK biomarkers in smoking-induced lung cancer

IF 4.1 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Clinica Chimica Acta Pub Date : 2026-04-01 Epub Date: 2026-02-09 DOI:10.1016/j.cca.2026.120891
Bandar Theyab Alenezi , Talha Jawaid , Zia Ur Rehman , Abdullah R. Alzahrani , Abdul Hai , Waseem Fatima , Prawez Alam , Abida Khan
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引用次数: 0

Abstract

The major lung carcinogen in cigarette smoke is the tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), which is metabolized to 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and glucuronide conjugates, which are the most specific biomarkers of tobacco exposure and lung cancer risk associated with smoking. Urinary NNAL is more effective than cotinine in determining long-term exposure because it has a longer half-life of 10–18 days and is more specific. This review compares aptasensor platforms for NNK/NNAL with clinical chemistry specifications that fulfill unmet requirements for the risk stratification of lung cancer at the point of care. Pre-analytical (half-life kinetics, creatinine normalization, storage stability), aptamer selection strategies (SELEX optimization, affinity-specificity trade-offs), and four classes of aptasensors (electrochemical, optical (fluorescence/colorimetric/SERS), microfluidic/POC, and nanomaterial-amplified design) were systematically evaluated using primary studies. Analytical validation included CLSI-compliant LoD/LoQ, precision, recovery, matrix effects, interference tests, calibration traceability, and LC-MS/MS comparability. The clinical implementation parameters included reference intervals (never-smokers below 10 pg/mg creatinine), reporting standards (ng NNAL/mg creatinine), QC protocols, and decision limits for smokers. The aptasensor LoDs are in the fM-pM range with equivalent LC-MS/MS sensitivity and 15–30 min min point-of-care turnaround. It can show cross-reactivity with nicotine and cotinine. Complete CLSI validation would place aptasensors in a good position to act as substitutes for laboratory LC-MS/MS in population screening and precision prevention of lung cancer.
吸烟诱导肺癌中NNK生物标志物的适配体传感器。
香烟烟雾中的主要致癌物是烟草特有的亚硝胺4-(甲基亚硝胺)-1-(3-吡啶基)-1-丁酮(NNK),它被代谢成4-(甲基亚硝胺)-1-(3-吡啶基)-1-丁醇(NNAL)和葡萄糖醛酸盐缀合物,这是烟草暴露和吸烟相关肺癌风险的最特异性生物标志物。尿NNAL在确定长期暴露方面比可替宁更有效,因为它的半衰期更长,为10-18 天,并且更具特异性。本综述比较了NNK/NNAL的适配体传感器平台与临床化学规格,这些规格满足了护理点肺癌风险分层的未满足要求。通过初步研究,系统评估了前分析(半衰期动力学、肌酐标准化、储存稳定性)、适体选择策略(SELEX优化、亲和-特异性权衡)和四类适体传感器(电化学、光学(荧光/比色/SERS)、微流体/POC和纳米材料放大设计)。分析验证包括符合clsi的LoD/LoQ、精密度、回收率、基质效应、干扰测试、校准可追溯性和LC-MS/MS可比性。临床实施参数包括参考区间(从不吸烟者低于10 pg/mg肌酐)、报告标准(ng NNAL/mg肌酐)、QC方案和吸烟者的决策限制。aptassensor LoDs在fM-pM范围内,具有等效的LC-MS/MS灵敏度和15-30 min min护理点周转时间。它能与尼古丁和可替宁产生交叉反应。完整的CLSI验证将使适体传感器能够很好地替代实验室LC-MS/MS进行肺癌人群筛查和精确预防。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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