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Chen Y, Wang Y, Ma C, Li Y, Zuo D, Huang X, Tian X, Wang W. Advances in the authentication of collagen products based on DNA technology. Crit Rev Food Sci Nutr 2023:1-12. [PMID: 37983141 DOI: 10.1080/10408398.2023.2283278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Collagenous products are making their way into consumer markets such as foods, nutraceuticals, cosmetics and pharmaceuticals increasingly. Collagen in a large family of proteins is ubiquitous in metazoan. The most effective way to identify biological samples including collagen is DNA technology indisputably. However, the DNA content of collagen mostly derived from connective tissue is relatively less, and commercial collagen products are usually subjected to some harsh treatments in the production process, which makes DNA damage more serious, thus tracing their origin becomes a huge challenge. At present, DNA enrichment mainly relies on silica based centrifugal columns after extraction by classical phenol chloroform method. For improving the amplification of DNA fragments, small amplicons are designed based on more stable mitochondrial genes, such as cytochrome b gene (cytb). In addition to conventional PCR for DNA amplification, some new PCR techniques have also been developed, such as DNA barcoding techniques, PCR-Southern hybridization and fluorescent PCR. These PCR techniques have their pros and cons, and are mainly used in the identification of gelatin at present. The development of a complete set of DNA authentication is of great significance for the control of collagen products quality and will contribute to sustainable development of collagen industry.
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Affiliation(s)
- Yuan Chen
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Yang Wang
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Chenwei Ma
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Yangshuai Li
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Doudou Zuo
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Xiaoli Huang
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Xiaojing Tian
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
| | - Wenhang Wang
- College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
- RandD Centre of Collagen Products, Xingjia Biotechnology Co. LTD, Tianjin, China
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Lindrose AR, McLester-Davis LWY, Tristano RI, Kataria L, Gadalla SM, Eisenberg DTA, Verhulst S, Drury S. Method comparison studies of telomere length measurement using qPCR approaches: A critical appraisal of the literature. PLoS One 2021; 16:e0245582. [PMID: 33471860 PMCID: PMC7817045 DOI: 10.1371/journal.pone.0245582] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/05/2021] [Indexed: 12/16/2022] Open
Abstract
Use of telomere length (TL) as a biomarker for various environmental exposures and diseases has increased in recent years. Various methods have been developed to measure telomere length. Polymerase chain reaction (PCR)-based methods remain wide-spread for population-based studies due to the high-throughput capability. While several studies have evaluated the repeatability and reproducibility of different TL measurement methods, the results have been variable. We conducted a literature review of TL measurement cross-method comparison studies that included a PCR-based method published between January 1, 2002 and May 25, 2020. A total of 25 articles were found that matched the inclusion criteria. Papers were reviewed for quality of methodologic reporting of sample and DNA quality, PCR assay characteristics, sample blinding, and analytic approaches to determine final TL. Overall, methodologic reporting was low as assessed by two different reporting guidelines for qPCR-based TL measurement. There was a wide range in the reported correlation between methods (as assessed by Pearson’s r) and few studies utilized the recommended intra-class correlation coefficient (ICC) for assessment of assay repeatability and methodologic comparisons. The sample size for nearly all studies was less than 100, raising concerns about statistical power. Overall, this review found that the current literature on the relation between TL measurement methods is lacking in validity and scientific rigor. In light of these findings, we present reporting guidelines for PCR-based TL measurement methods and results of analyses of the effect of assay repeatability (ICC) on statistical power of cross-sectional and longitudinal studies. Additional cross-laboratory studies with rigorous methodologic and statistical reporting, adequate sample size, and blinding are essential to accurately determine assay repeatability and replicability as well as the relation between TL measurement methods.
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Affiliation(s)
- Alyssa R. Lindrose
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Tulane University, New Orleans, Louisiana, United States of America
- * E-mail: (ARL); (SD)
| | | | - Renee I. Tristano
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
| | - Leila Kataria
- School of Science and Engineering, Tulane University, New Orleans, Louisiana, United States of America
| | - Shahinaz M. Gadalla
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dan T. A. Eisenberg
- Department of Anthropology, Department of Biology, Center for Studies in Demography and Ecology, University of Washington, Seattle, Washington, United States of America
| | - Simon Verhulst
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Stacy Drury
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Tulane University, New Orleans, Louisiana, United States of America
- Tulane Brain Institute, Tulane University, New Orleans, Louisiana, United States of America
- Department of Pediatrics, School of Medicine, Tulane University, New Orleans, Louisiana, United States of America
- * E-mail: (ARL); (SD)
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