在测量膳食代谢组的喂养研究中加强对饮食项目细节的报告:DID-METAB核心结果集声明。

IF 3.6 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Jessica J. A. Ferguson, Erin D. Clarke, Jordan Stanford, María Gómez-Martín, Tammie Jakstas, Clare E. Collins, DID-METAB Delphi Working Group Authors
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Collins,&nbsp;DID-METAB Delphi Working Group Authors","doi":"10.1111/eci.70030","DOIUrl":null,"url":null,"abstract":"<p>Nutrition research and diet–disease relationships historically rely on self-reported data assessed via dietary assessment instruments such as 24-h dietary recalls, food records, food frequency questionnaires, etc.,<span><sup>1</sup></span> which are prone to inherent bias and errors.<span><sup>1, 2</sup></span> While these methods provide detailed information on what, how much, and when individuals eat, involvement from dietitians or nutritionists can help to minimise errors.<span><sup>3</sup></span> However, misreporting remains inherent and can lead to misinterpretation of diet–disease relationships.<span><sup>2</sup></span> Controlled human feeding studies provide known amounts of foods/beverages and aim to mitigate inherent biases associated with self-reported dietary assessment while observing individual responses and enhancing adherence; however, they are also highly resource-intensive. The reliability and accuracy of dietary assessment methods have been shown to be increased by substituting or complementing dietary assessment instruments with objective biomarkers of food intake.<span><sup>4-8</sup></span> Currently, there are few valid dietary biomarkers routinely applied, for example, 24-h urinary sodium for salt,<span><sup>9</sup></span> plasma carotenoids for fruit and vegetables,<span><sup>10</sup></span> proline betaine for citrus fruits<span><sup>11</sup></span>; however, their application can be limited to a specific nutrient or food/food group.<span><sup>11</sup></span> Human feeding studies utilising metabolomics as an adjunct objective dietary assessment method are gaining traction.<span><sup>12-14</sup></span> However, the methodology of dietary feeding interventions can vary in their approach,<span><sup>15</sup></span> making cross-comparison between studies and synthesising dietary evidence difficult (see Box 1). Beyond the discovery of metabolites identified from biospecimens for qualifying and quantifying dietary intake of specific foods, nutrients and/or dietary patterns, metabolomics may also reflect the impact of diets on endogenous metabolism, accounting for individual variation driven by factors such as genetics and gut microbiome composition. For example, metabolites derived from the gut microbiome<span><sup>16, 17</sup></span> or produced through microbial conversion,<span><sup>18, 19</sup></span> contribute to the diverse metabolic responses to dietary interventions.<span><sup>16</sup></span> Therefore, metabolomics offers promise for future incorporation within precision and personalised nutrition interventions, ultimately advancing the broader field of nutrition research.<span><sup>16</sup></span></p><p>While metabolomics is being rapidly integrated as a biological assessment technique in nutrition research,<span><sup>20</sup></span> it is still in its infancy and therefore improved quality of reporting is required to facilitate consistency, reproducibility of findings, and advancement of the field long-term.</p><p>We previously demonstrated that there is extensive variability in the reporting of dietary intervention methodologies (e.g. design, delivery, implementation and interpretation) currently used in human feeding studies measuring the metabolome.<span><sup>15</sup></span> Commonly, insufficient detail is reported, hindering replication, which limits evidence synthesis in the field of metabolomics.<span><sup>15</sup></span> For example, information about included/restricted foods, the timing of biospecimen collection in relation to dietary assessment instruments used, or methods used to account for the consumption of nonstudy foods. Detailed information on these items is vital for the interpretation of the metabolome data. While reporting guidelines exist for human intervention studies more broadly,<span><sup>21-23</sup></span> including the developing CONSORT-Nut,<span><sup>24, 25</sup></span> a nutrition extension of the CONSORT statement, no reporting guidance currently considers the specific nuances in dietary intervention research in which the metabolome is also measured. Therefore, there is a need for formal consensus on the minimum core set of items required for reporting, along with examples and recommendations for reporting in research papers to guide researchers and the review process. The primary aim was to gain consensus on core diet item details (DID) and standard reporting recommendations for each DID (i.e. a core outcome set, COS) in human feeding studies measuring the metabolome. The secondary aim was to develop a reporting guideline for use by researchers conducting such studies when reporting information in papers, and to assist journal reviewers and editors when critically appraising the papers (see Box 2). The purpose of this paper (i.e. the DID-METAB Statement) is to provide a short overview of the development of the COS and reporting guideline, including the Delphi process, and present the final reporting guideline (i.e. DID-METAB Checklist) to support usability and dissemination.</p><p>The DID-METAB Statement was developed by the Precision and Personalised Nutrition (PPN) Team (JJAF, EDC, JS, MGM, TJ and CC) in consultation with the DID-METAB Delphi Working Group under the iterative process of an online Delphi. Development of the core outcome set using the Delphi process was conducted in accordance with the Core Outcome Set-STAndards for Development: The COS-STAD recommendations.<span><sup>27</sup></span> The development of the reporting guideline was based on guidelines for developers of health research reporting guidelines and modelled off similar efforts.<span><sup>22, 28-30</sup></span> The PPN Team has collective expertise in human clinical and experimental research design, conduct and implementation of human feeding interventions, dietary assessment methodology, human biospecimen collection and analysis, and design and management of Delphi processes. The DID-METAB Delphi Working Group experts were identified based on their extensive experience and contributions to the field, such as peer-reviewed publications, involvement in key professional organisations, and their recognised expertise and contributions to the field of metabolomics and nutrition research. International experts were invited by the PPN Team and encompassed expertise across clinical and experimental trial design of dietary interventions, feeding study intervention implementation, nutritional metabolomics and/or diet-related biospecimen analyses and interpretation. The two-stage Delphi process comprised five survey rounds, which were implemented online using QuestionPro Survey Software (QuestionPro Inc., Austin Tx). The Delphi was conducted between February 2024 and July 2024 to gain consensus on a core set of DIDs, DID phrasing, reporting recommendations including examples, and acceptance of the final checklist. A total of 67 experts were invited, with 25 providing input in stage 1, and 22 experts retained throughout all three rounds of stage 2.</p><p>All DID-METAB Delphi Working Group experts agreed with the PPN Team's recommendation that the checklist should be used alongside existing tools (e.g. as an extension of item 5 in CONSORT 2010 Statement updated guidelines for reporting parallel group randomised trials,<span><sup>23</sup></span> or item 11 in SPIRIT 2013 Statement: Defining standard protocol items for clinical trials<span><sup>26</sup></span>) and that relevant journals should recommend use of the DID-METAB Checklist for relevant studies. This study was approved by the University of Newcastle's Human Research Ethics Committee (H-2023-0405) and has been registered on the Core Outcome Measures in Effectiveness Trials (COMET Initiative) database (https://www.comet-initiative.org/Studies/Details/3292). The methodology for the development of the reporting guideline, including findings of the Delphi have been thoroughly reported in the more comprehensive Explanation and Elaboration report, available at: [https://advances.nutrition.org/].</p><p>The final list of DIDs (29 items), plus examples and recommendations are categorised across five domains: (1) Dietary Intervention—Modelling (items 1 through 8), (2) Dietary Intervention—Implementation (items 9 through 11), (3) Dietary Assessment (items 12 through 20), (4) Adherence and Compliance Monitoring (items 21 through 24) and (5) Bias (items 25 through 29). The recommendations are presented in a checklist (Table 1) to aid users in completing it. The COS recommendations within the DID-METAB Checklist are guidelines for reporting research and do not prescribe how to design feeding studies. Examples are provided for each DID within the checklist, including reporting recommendations for each DID. The hierarchy of reporting recommendations was based on a vote count of the experts' responses and synthesis of their commentary regarding the level of detail to be provided. Reporting recommendations labelled as ‘consider’ and ‘optional’ are nonmandatory reporting items. Those labelled as ‘consider’ guide users to include this detail if possible, as it will likely benefit other researchers/the field, whereas ‘optional’ means given this data may or may not be relevant to report in this manner for a particular study or it may not be of benefit to other researchers, it is not necessary to provide it. To assist the application of the recommendations, we encourage readers to access and utilise the Explanation and Elaboration report.<span><sup>31</sup></span></p><p>The quality of reporting in published research describing details of dietary intervention methods (e.g. design, delivery, implementation and interpretation) used in human feeding studies measuring the metabolome is considered poor.<span><sup>15</sup></span> Currently, reporting of dietary characteristics and compositions of implemented interventions are highly variable with some studies reporting diets only in terms of macronutrient composition, others reporting foods provided or nutrient targets, while some provide example meal plans and portion sizes.<span><sup>15</sup></span> The variability spans across several features of dietary intervention methods used in feeding studies.<span><sup>15</sup></span> Therefore, without detailed and replicable reporting of core information relating to dietary intervention methods, particularly those that concern the validity and interpretation of the metabolome, it remains challenging to replicate research or synthesise the evidence base.</p><p>The explicit aim of this COS was to improve the quality of reporting of feeding studies measuring the metabolome by identifying a minimum set of information to be reported in order to provide details about how the diet intervention was designed, delivered and interpreted. The DID-METAB statement was developed to standardise reporting, enhance the peer review process of papers and assist researchers in critically appraising and synthesising published articles. We recommend submitting the checklist as an additional file with the research article. The supporting Explanation and Elaboration report presents published examples of best practice reporting for each item as well as highlighting potential limitations of some approaches. The DID-METAB Statement can be used to enhance the design of feeding studies and ensure all aspects of feeding study interventions are adequately reported with sufficient detail and clarity.</p><p>The structured and formal consultation process, high response rate (88%), retention of all 22 international experts in the final three rounds of stage 2 across a broad range of research expertise totalling &gt;200 years, and unanimous consensus on the final checklist are key strengths of the DID-METAB Statement. Implementation of the DID-METAB Statement in research will strengthen the evidence base on nutritional metabolomics and potential application to precision and personalised nutrition strategies.</p><p>To encourage dissemination and use of this standard for reporting, we have simultaneously submitted for publication the Explanation and Elaboration report in <i>Advances in Nutrition</i>. The Enhancing the QUAlity and Transparency Of health Research (EQUATOR) Network (www.equator-network.org) will assist in disseminating and promoting the downloadable DID-METAB statement. Announcements, updates, details for contacting the PPN Team and supporting information relating to the DID-METAB Statement, including the downloadable checklist, can be found at the DID-METAB website (https://australianeatingsurvey.com.au/did-metab-statement). We will continue to approach journals identified as being widely read by the medical and research community that are conducting relevant studies to endorse the use of the DID-METAB Statement. The DID-METAB Statement will be periodically reappraised by the PPN Team, and if necessary, modified and/or updated to reflect comments, criticisms and any new evidence.</p><p>In conclusion, we recommend that authors publishing articles on human feeding studies where metabolomic samples are collected include a completed checklist in their paper submissions to aid the editorial process, facilitate critical appraisal by the readers and contribute towards advancing the field of metabolomics (available at: https://australianeatingsurvey.com.au/did-metab-statement).</p><p>JJAF, EDC, JS, MGM, TJ and CC conceptualised and designed the research. JJAF and TJ collected and assembled the data. JJAF analysed and collated the data, presenting it to EDC, JS and MGM after each stage of the Delphi process to incorporate expert feedback. TJ provided administrative and technical support for the Delphi. JJAF wrote the paper. EDC, JS, MGM, TJ and CC were involved in the critical revision of the paper. All members of the DID-METAB Delphi Working Group were participants in the entire two-stage Delphi process and thus contributed to data collection, the development of the checklist, and reviewed this paper. JJAF had primary responsibility for final content. All authors have read and approved the final manuscript.</p><p>EH is supported by a Laureate Fellowship from the Australian Research Council; EH is a director of Melico Ltd. outside the scope of the submitted work with no financial contribution. FZM is supported by a Senior Medical Research Fellowship from the Sylvia and Charles Viertel Charitable Foundation, a National Heart Foundation Future Leader Fellowship (105663), and an NHMRC Emerging Leader Fellowship (GNT2017382). HMS is supported by an NHMRC Emerging Leader Fellowship (APP2018118). MHT is supported by the BBSRC Core Capability Grant BB/CCG2260/1 and its constituent project BBS/E/QU/23NB0006 (Food &amp; Nutrition National Bioscience Research Infrastructure). MS is supported by a National Heart Foundation Postdoctoral Fellowship (106698). JJAF holds a separate part-time employment at Sanitarium Health Food Company, which had no input into the study and is not financially supporting or sponsoring any part of this study. All other authors have no conflict of interest to declare. All DID-METAB Delphi Working Group members were volunteers.</p>","PeriodicalId":12013,"journal":{"name":"European Journal of Clinical Investigation","volume":"55 7","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/eci.70030","citationCount":"0","resultStr":"{\"title\":\"Strengthening the reporting of diet item details in feeding studies measuring the dietary metabolome: The DID-METAB core outcome set statement\",\"authors\":\"Jessica J. A. Ferguson,&nbsp;Erin D. Clarke,&nbsp;Jordan Stanford,&nbsp;María Gómez-Martín,&nbsp;Tammie Jakstas,&nbsp;Clare E. Collins,&nbsp;DID-METAB Delphi Working Group Authors\",\"doi\":\"10.1111/eci.70030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Nutrition research and diet–disease relationships historically rely on self-reported data assessed via dietary assessment instruments such as 24-h dietary recalls, food records, food frequency questionnaires, etc.,<span><sup>1</sup></span> which are prone to inherent bias and errors.<span><sup>1, 2</sup></span> While these methods provide detailed information on what, how much, and when individuals eat, involvement from dietitians or nutritionists can help to minimise errors.<span><sup>3</sup></span> However, misreporting remains inherent and can lead to misinterpretation of diet–disease relationships.<span><sup>2</sup></span> Controlled human feeding studies provide known amounts of foods/beverages and aim to mitigate inherent biases associated with self-reported dietary assessment while observing individual responses and enhancing adherence; however, they are also highly resource-intensive. The reliability and accuracy of dietary assessment methods have been shown to be increased by substituting or complementing dietary assessment instruments with objective biomarkers of food intake.<span><sup>4-8</sup></span> Currently, there are few valid dietary biomarkers routinely applied, for example, 24-h urinary sodium for salt,<span><sup>9</sup></span> plasma carotenoids for fruit and vegetables,<span><sup>10</sup></span> proline betaine for citrus fruits<span><sup>11</sup></span>; however, their application can be limited to a specific nutrient or food/food group.<span><sup>11</sup></span> Human feeding studies utilising metabolomics as an adjunct objective dietary assessment method are gaining traction.<span><sup>12-14</sup></span> However, the methodology of dietary feeding interventions can vary in their approach,<span><sup>15</sup></span> making cross-comparison between studies and synthesising dietary evidence difficult (see Box 1). Beyond the discovery of metabolites identified from biospecimens for qualifying and quantifying dietary intake of specific foods, nutrients and/or dietary patterns, metabolomics may also reflect the impact of diets on endogenous metabolism, accounting for individual variation driven by factors such as genetics and gut microbiome composition. For example, metabolites derived from the gut microbiome<span><sup>16, 17</sup></span> or produced through microbial conversion,<span><sup>18, 19</sup></span> contribute to the diverse metabolic responses to dietary interventions.<span><sup>16</sup></span> Therefore, metabolomics offers promise for future incorporation within precision and personalised nutrition interventions, ultimately advancing the broader field of nutrition research.<span><sup>16</sup></span></p><p>While metabolomics is being rapidly integrated as a biological assessment technique in nutrition research,<span><sup>20</sup></span> it is still in its infancy and therefore improved quality of reporting is required to facilitate consistency, reproducibility of findings, and advancement of the field long-term.</p><p>We previously demonstrated that there is extensive variability in the reporting of dietary intervention methodologies (e.g. design, delivery, implementation and interpretation) currently used in human feeding studies measuring the metabolome.<span><sup>15</sup></span> Commonly, insufficient detail is reported, hindering replication, which limits evidence synthesis in the field of metabolomics.<span><sup>15</sup></span> For example, information about included/restricted foods, the timing of biospecimen collection in relation to dietary assessment instruments used, or methods used to account for the consumption of nonstudy foods. Detailed information on these items is vital for the interpretation of the metabolome data. While reporting guidelines exist for human intervention studies more broadly,<span><sup>21-23</sup></span> including the developing CONSORT-Nut,<span><sup>24, 25</sup></span> a nutrition extension of the CONSORT statement, no reporting guidance currently considers the specific nuances in dietary intervention research in which the metabolome is also measured. Therefore, there is a need for formal consensus on the minimum core set of items required for reporting, along with examples and recommendations for reporting in research papers to guide researchers and the review process. The primary aim was to gain consensus on core diet item details (DID) and standard reporting recommendations for each DID (i.e. a core outcome set, COS) in human feeding studies measuring the metabolome. The secondary aim was to develop a reporting guideline for use by researchers conducting such studies when reporting information in papers, and to assist journal reviewers and editors when critically appraising the papers (see Box 2). The purpose of this paper (i.e. the DID-METAB Statement) is to provide a short overview of the development of the COS and reporting guideline, including the Delphi process, and present the final reporting guideline (i.e. DID-METAB Checklist) to support usability and dissemination.</p><p>The DID-METAB Statement was developed by the Precision and Personalised Nutrition (PPN) Team (JJAF, EDC, JS, MGM, TJ and CC) in consultation with the DID-METAB Delphi Working Group under the iterative process of an online Delphi. Development of the core outcome set using the Delphi process was conducted in accordance with the Core Outcome Set-STAndards for Development: The COS-STAD recommendations.<span><sup>27</sup></span> The development of the reporting guideline was based on guidelines for developers of health research reporting guidelines and modelled off similar efforts.<span><sup>22, 28-30</sup></span> The PPN Team has collective expertise in human clinical and experimental research design, conduct and implementation of human feeding interventions, dietary assessment methodology, human biospecimen collection and analysis, and design and management of Delphi processes. The DID-METAB Delphi Working Group experts were identified based on their extensive experience and contributions to the field, such as peer-reviewed publications, involvement in key professional organisations, and their recognised expertise and contributions to the field of metabolomics and nutrition research. International experts were invited by the PPN Team and encompassed expertise across clinical and experimental trial design of dietary interventions, feeding study intervention implementation, nutritional metabolomics and/or diet-related biospecimen analyses and interpretation. The two-stage Delphi process comprised five survey rounds, which were implemented online using QuestionPro Survey Software (QuestionPro Inc., Austin Tx). The Delphi was conducted between February 2024 and July 2024 to gain consensus on a core set of DIDs, DID phrasing, reporting recommendations including examples, and acceptance of the final checklist. A total of 67 experts were invited, with 25 providing input in stage 1, and 22 experts retained throughout all three rounds of stage 2.</p><p>All DID-METAB Delphi Working Group experts agreed with the PPN Team's recommendation that the checklist should be used alongside existing tools (e.g. as an extension of item 5 in CONSORT 2010 Statement updated guidelines for reporting parallel group randomised trials,<span><sup>23</sup></span> or item 11 in SPIRIT 2013 Statement: Defining standard protocol items for clinical trials<span><sup>26</sup></span>) and that relevant journals should recommend use of the DID-METAB Checklist for relevant studies. This study was approved by the University of Newcastle's Human Research Ethics Committee (H-2023-0405) and has been registered on the Core Outcome Measures in Effectiveness Trials (COMET Initiative) database (https://www.comet-initiative.org/Studies/Details/3292). The methodology for the development of the reporting guideline, including findings of the Delphi have been thoroughly reported in the more comprehensive Explanation and Elaboration report, available at: [https://advances.nutrition.org/].</p><p>The final list of DIDs (29 items), plus examples and recommendations are categorised across five domains: (1) Dietary Intervention—Modelling (items 1 through 8), (2) Dietary Intervention—Implementation (items 9 through 11), (3) Dietary Assessment (items 12 through 20), (4) Adherence and Compliance Monitoring (items 21 through 24) and (5) Bias (items 25 through 29). The recommendations are presented in a checklist (Table 1) to aid users in completing it. The COS recommendations within the DID-METAB Checklist are guidelines for reporting research and do not prescribe how to design feeding studies. Examples are provided for each DID within the checklist, including reporting recommendations for each DID. The hierarchy of reporting recommendations was based on a vote count of the experts' responses and synthesis of their commentary regarding the level of detail to be provided. Reporting recommendations labelled as ‘consider’ and ‘optional’ are nonmandatory reporting items. Those labelled as ‘consider’ guide users to include this detail if possible, as it will likely benefit other researchers/the field, whereas ‘optional’ means given this data may or may not be relevant to report in this manner for a particular study or it may not be of benefit to other researchers, it is not necessary to provide it. To assist the application of the recommendations, we encourage readers to access and utilise the Explanation and Elaboration report.<span><sup>31</sup></span></p><p>The quality of reporting in published research describing details of dietary intervention methods (e.g. design, delivery, implementation and interpretation) used in human feeding studies measuring the metabolome is considered poor.<span><sup>15</sup></span> Currently, reporting of dietary characteristics and compositions of implemented interventions are highly variable with some studies reporting diets only in terms of macronutrient composition, others reporting foods provided or nutrient targets, while some provide example meal plans and portion sizes.<span><sup>15</sup></span> The variability spans across several features of dietary intervention methods used in feeding studies.<span><sup>15</sup></span> Therefore, without detailed and replicable reporting of core information relating to dietary intervention methods, particularly those that concern the validity and interpretation of the metabolome, it remains challenging to replicate research or synthesise the evidence base.</p><p>The explicit aim of this COS was to improve the quality of reporting of feeding studies measuring the metabolome by identifying a minimum set of information to be reported in order to provide details about how the diet intervention was designed, delivered and interpreted. The DID-METAB statement was developed to standardise reporting, enhance the peer review process of papers and assist researchers in critically appraising and synthesising published articles. We recommend submitting the checklist as an additional file with the research article. The supporting Explanation and Elaboration report presents published examples of best practice reporting for each item as well as highlighting potential limitations of some approaches. The DID-METAB Statement can be used to enhance the design of feeding studies and ensure all aspects of feeding study interventions are adequately reported with sufficient detail and clarity.</p><p>The structured and formal consultation process, high response rate (88%), retention of all 22 international experts in the final three rounds of stage 2 across a broad range of research expertise totalling &gt;200 years, and unanimous consensus on the final checklist are key strengths of the DID-METAB Statement. Implementation of the DID-METAB Statement in research will strengthen the evidence base on nutritional metabolomics and potential application to precision and personalised nutrition strategies.</p><p>To encourage dissemination and use of this standard for reporting, we have simultaneously submitted for publication the Explanation and Elaboration report in <i>Advances in Nutrition</i>. The Enhancing the QUAlity and Transparency Of health Research (EQUATOR) Network (www.equator-network.org) will assist in disseminating and promoting the downloadable DID-METAB statement. Announcements, updates, details for contacting the PPN Team and supporting information relating to the DID-METAB Statement, including the downloadable checklist, can be found at the DID-METAB website (https://australianeatingsurvey.com.au/did-metab-statement). We will continue to approach journals identified as being widely read by the medical and research community that are conducting relevant studies to endorse the use of the DID-METAB Statement. The DID-METAB Statement will be periodically reappraised by the PPN Team, and if necessary, modified and/or updated to reflect comments, criticisms and any new evidence.</p><p>In conclusion, we recommend that authors publishing articles on human feeding studies where metabolomic samples are collected include a completed checklist in their paper submissions to aid the editorial process, facilitate critical appraisal by the readers and contribute towards advancing the field of metabolomics (available at: https://australianeatingsurvey.com.au/did-metab-statement).</p><p>JJAF, EDC, JS, MGM, TJ and CC conceptualised and designed the research. JJAF and TJ collected and assembled the data. JJAF analysed and collated the data, presenting it to EDC, JS and MGM after each stage of the Delphi process to incorporate expert feedback. TJ provided administrative and technical support for the Delphi. JJAF wrote the paper. EDC, JS, MGM, TJ and CC were involved in the critical revision of the paper. All members of the DID-METAB Delphi Working Group were participants in the entire two-stage Delphi process and thus contributed to data collection, the development of the checklist, and reviewed this paper. JJAF had primary responsibility for final content. All authors have read and approved the final manuscript.</p><p>EH is supported by a Laureate Fellowship from the Australian Research Council; EH is a director of Melico Ltd. outside the scope of the submitted work with no financial contribution. FZM is supported by a Senior Medical Research Fellowship from the Sylvia and Charles Viertel Charitable Foundation, a National Heart Foundation Future Leader Fellowship (105663), and an NHMRC Emerging Leader Fellowship (GNT2017382). HMS is supported by an NHMRC Emerging Leader Fellowship (APP2018118). MHT is supported by the BBSRC Core Capability Grant BB/CCG2260/1 and its constituent project BBS/E/QU/23NB0006 (Food &amp; Nutrition National Bioscience Research Infrastructure). MS is supported by a National Heart Foundation Postdoctoral Fellowship (106698). JJAF holds a separate part-time employment at Sanitarium Health Food Company, which had no input into the study and is not financially supporting or sponsoring any part of this study. All other authors have no conflict of interest to declare. 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摘要

营养研究和饮食-疾病关系历来依赖于通过膳食评估工具(如24小时膳食召回、食物记录、食物频率问卷等)评估的自我报告数据,这些工具容易存在固有的偏差和错误。虽然这些方法提供了关于个人吃什么、吃多少和什么时候吃的详细信息,但营养师或营养学家的参与可以帮助将错误降到最低然而,错误报告仍然是固有的,并可能导致对饮食与疾病关系的误解对照人类喂养研究提供已知数量的食物/饮料,旨在减轻与自我报告饮食评估相关的固有偏见,同时观察个体反应并增强依从性;然而,它们也是高度资源密集型的。研究表明,用客观的食物摄入生物标志物替代或补充膳食评估工具可以提高膳食评估方法的可靠性和准确性。4-8目前,常规应用的有效膳食生物标志物很少,例如,24小时尿钠为盐,血浆类胡萝卜素为水果和蔬菜,脯氨酸甜菜碱为柑橘类水果;然而,它们的应用可以局限于特定的营养素或食物/食物组利用代谢组学作为辅助客观膳食评估方法的人类喂养研究正在获得关注。12-14然而,饮食喂养干预的方法可能各不相同,15使得研究之间的交叉比较和综合饮食证据变得困难(见框1)。除了发现从生物标本中鉴定的代谢物,以确定和量化特定食物、营养素和/或饮食模式的膳食摄入量外,代谢组学还可以反映饮食对内源性代谢的影响,解释由遗传和肠道微生物组组成等因素驱动的个体差异。例如,来自肠道微生物组的代谢物16,17或通过微生物转化产生的代谢物18,19有助于对饮食干预的多种代谢反应因此,代谢组学为未来精确和个性化的营养干预提供了希望,最终推动了更广泛的营养研究领域。虽然代谢组学作为一种生物评估技术正在迅速整合到营养研究中,但它仍处于起步阶段,因此需要提高报告的质量,以促进研究结果的一致性、可重复性和该领域的长期发展。我们之前已经证明,目前在测量代谢组的人类喂养研究中使用的饮食干预方法(如设计、交付、实施和解释)的报告存在广泛的差异通常,缺乏详细的报道,阻碍了复制,这限制了代谢组学领域的证据合成例如,关于纳入/限制食品的信息,与所使用的饮食评估工具相关的生物标本采集时间,或用于解释非研究食品消费的方法。这些项目的详细信息对于解释代谢组数据至关重要。虽然存在更广泛的人类干预研究报告指南21-23,包括正在制定的CONSORT声明的营养延伸版CONSORT- nut, 24,25,但目前还没有报告指南考虑到饮食干预研究中代谢组测量的具体细微差别。因此,有必要就报告所需的最低核心项目集达成正式共识,以及在研究论文中报告的示例和建议,以指导研究人员和审查过程。主要目的是在测量代谢组的人类喂养研究中,就核心饮食项目细节(DID)和每个DID(即核心结果集,COS)的标准报告建议达成共识。第二个目标是制定一个报告指南,供进行此类研究的研究人员在报告论文信息时使用,并在对论文进行批判性评估时协助期刊审稿人和编辑(见方框2)。本文(即DID-METAB声明)的目的是简要概述COS和报告指南的发展,包括Delphi过程,并提出最终的报告指南(即DID-METAB Checklist),以支持可用性和传播。DID-METAB声明是由精确和个性化营养(PPN)团队(JJAF、EDC、JS、MGM、TJ和CC)在与DID-METAB德尔福工作组协商后,通过在线德尔福的迭代过程制定的。根据核心结果集-发展标准:COS-STAD建议,使用德尔菲过程制定了核心结果集。 27 .报告准则的制定是根据卫生研究报告准则制订者的准则,并以类似的努力为范本。22,28 -30 PPN团队在人类临床和实验研究设计、人类喂养干预措施的实施、饮食评估方法、人类生物标本收集和分析以及德尔菲过程的设计和管理方面拥有集体专业知识。DID-METAB德尔福工作组的专家是根据他们丰富的经验和对该领域的贡献确定的,例如同行评审的出版物,对关键专业组织的参与,以及他们在代谢组学和营养研究领域公认的专业知识和贡献。PPN小组邀请了国际专家,包括饮食干预的临床和实验试验设计、喂养研究干预实施、营养代谢组学和/或饮食相关生物标本分析和解释等方面的专业知识。两阶段的德尔福过程包括五轮调查,使用QuestionPro调查软件(QuestionPro Inc., Austin Tx)在线实施。德尔菲在2024年2月至2024年7月期间进行,以就DID的核心集、DID措辞、报告建议(包括示例)和最终清单的接受达成共识。总共邀请了67名专家,其中25名在第一阶段提供投入,22名专家在第二阶段的所有三轮中都保留了下来。所有DID-METAB德尔菲工作组专家都同意PPN小组的建议,即清单应与现有工具一起使用(例如,作为CONSORT 2010声明更新平行组随机试验报告指南的第5项的扩展,23或SPIRIT 2013声明中的第11项:定义临床试验的标准方案项目26),相关期刊应建议在相关研究中使用DID-METAB清单。这项研究得到了纽卡斯尔大学人类研究伦理委员会(H-2023-0405)的批准,并已在有效性试验的核心结果测量(COMET倡议)数据库(https://www.comet-initiative.org/Studies/Details/3292)上注册。制定报告指南的方法,包括德尔菲的调查结果,已在更全面的解释和阐述报告中进行了详细报告,可在:[https://advances.nutrition.org/].The did的最终清单(29项),加上示例和建议分为五个领域:(1)饮食干预-建模(第1至8项),(2)饮食干预-实施(第9至11项),(3)饮食评估(第12至20项),(4)依从性和依从性监测(第21至24项)和(5)偏见(第25至29项)。建议以清单(表1)的形式呈现,以帮助用户完成清单。DID-METAB清单中的COS建议是报告研究的指导方针,并未规定如何设计喂养研究。为清单中的每个DID提供了示例,包括每个DID的报告建议。报告建议的等级是根据专家答复的投票数和他们对所提供的详细程度的评论的综合而定的。标记为“考虑”和“可选”的报告建议是非强制性报告项目。那些被标记为“考虑”的指导用户在可能的情况下包括这些细节,因为它可能会使其他研究人员/领域受益,而“可选”意味着考虑到这些数据可能与以这种方式报告特定研究相关也可能不相关,或者可能对其他研究人员没有好处,因此没有必要提供它。为协助落实各项建议,我们鼓励读者参阅及使用《解释及阐述报告》。31已发表的研究报告的质量被认为很差,报告描述了人类喂养研究中测量代谢组所使用的饮食干预方法的细节(如设计、交付、实施和解释)目前,对饮食特征和实施干预措施的组成的报告差异很大,一些研究仅从常量营养素组成方面报告饮食,其他研究报告提供的食物或营养目标,而一些研究提供了膳食计划和份量的示例这种可变性跨越了喂养研究中使用的饮食干预方法的几个特征因此,如果没有与饮食干预方法相关的核心信息的详细和可复制的报告,特别是那些涉及代谢组的有效性和解释的核心信息,复制研究或合成证据基础仍然具有挑战性。 该COS的明确目标是通过确定需要报告的最小信息集来提高测量代谢组的喂养研究报告的质量,从而提供有关饮食干预如何设计、传递和解释的细节。制定DID-METAB声明是为了使报告标准化,加强论文的同行评审过程,并协助研究人员批判性地评价和综合已发表的文章。我们建议将清单作为研究文章的附加文件提交。支持性的解释和精化报告提供了针对每个项目的已发表的最佳实践报告示例,并突出了一些方法的潜在限制。DID-METAB声明可用于加强喂养研究的设计,并确保喂养研究干预措施的所有方面都得到充分的详细和清晰的报告。结构化和正式的咨询过程,高回复率(88%),在第二阶段的最后三轮中保留所有22名国际专家,他们的研究专业知识范围广泛,共计200年,以及对最终清单的一致共识是DID-METAB声明的关键优势。在研究中实施DID-METAB声明将加强营养代谢组学的证据基础以及在精确和个性化营养策略方面的潜在应用。为了鼓励传播和使用这一报告标准,我们同时提交了《营养进展》的解释和阐述报告,以供出版。提高卫生研究质量和透明度(EQUATOR)网络(www.equator-network.org)将协助传播和推广可下载的DID-METAB声明。有关DID-METAB声明的公告、更新、联系PPN团队的详细信息以及支持信息,包括可下载的清单,可在DID-METAB网站(https://australianeatingsurvey.com.au/did-metab-statement)上找到。我们将继续与正在进行相关研究的医学和研究界广泛阅读的期刊接洽,以支持使用DID-METAB声明。PPN团队将定期重新评估DID-METAB声明,并在必要时进行修改和/或更新,以反映意见、批评和任何新的证据。总之,我们建议发表人类喂养研究的作者在提交的论文中包括一份完整的清单,以帮助编辑过程,促进读者的批判性评估,并为推进代谢组学领域做出贡献(可在:https://australianeatingsurvey.com.au/did-metab-statement).JJAF), EDC, JS, MGM, TJ和CC对研究进行了概念和设计。JJAF和TJ收集和组装数据。JJAF对数据进行了分析和整理,并在德尔菲过程的每个阶段后将其提交给EDC, JS和米高梅,以纳入专家反馈。TJ为Delphi提供了行政和技术支持。JJAF写了这篇论文。EDC, JS, MGM, TJ和CC参与了论文的关键修改。DID-METAB德尔菲工作组的所有成员都参与了整个两阶段的德尔菲过程,因此对数据收集、清单的制定做出了贡献,并对本文进行了审查。JJAF对最终内容负有主要责任。所有作者都阅读并批准了最终稿件。EH由澳大利亚研究理事会的桂冠奖学金支持;EH是Melico有限公司的董事,在提交的工作范围之外,没有财务贡献。FZM由Sylvia and Charles Viertel慈善基金会高级医学研究奖学金、国家心脏基金会未来领袖奖学金(105663)和NHMRC新兴领袖奖学金(GNT2017382)支持。HMS由NHMRC新兴领袖奖学金(APP2018118)支持。MHT由BBSRC核心能力拨款BB/CCG2260/1及其组成项目BBS/E/QU/23NB0006 (Food &amp;营养国家生物科学研究基础设施)。国家心脏基金博士后资助项目(106698)。JJAF在sanarium健康食品公司兼职,该公司没有参与本研究,也没有在经济上支持或赞助本研究的任何部分。所有其他作者没有利益冲突需要声明。DID-METAB Delphi工作组成员均为志愿者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strengthening the reporting of diet item details in feeding studies measuring the dietary metabolome: The DID-METAB core outcome set statement

Nutrition research and diet–disease relationships historically rely on self-reported data assessed via dietary assessment instruments such as 24-h dietary recalls, food records, food frequency questionnaires, etc.,1 which are prone to inherent bias and errors.1, 2 While these methods provide detailed information on what, how much, and when individuals eat, involvement from dietitians or nutritionists can help to minimise errors.3 However, misreporting remains inherent and can lead to misinterpretation of diet–disease relationships.2 Controlled human feeding studies provide known amounts of foods/beverages and aim to mitigate inherent biases associated with self-reported dietary assessment while observing individual responses and enhancing adherence; however, they are also highly resource-intensive. The reliability and accuracy of dietary assessment methods have been shown to be increased by substituting or complementing dietary assessment instruments with objective biomarkers of food intake.4-8 Currently, there are few valid dietary biomarkers routinely applied, for example, 24-h urinary sodium for salt,9 plasma carotenoids for fruit and vegetables,10 proline betaine for citrus fruits11; however, their application can be limited to a specific nutrient or food/food group.11 Human feeding studies utilising metabolomics as an adjunct objective dietary assessment method are gaining traction.12-14 However, the methodology of dietary feeding interventions can vary in their approach,15 making cross-comparison between studies and synthesising dietary evidence difficult (see Box 1). Beyond the discovery of metabolites identified from biospecimens for qualifying and quantifying dietary intake of specific foods, nutrients and/or dietary patterns, metabolomics may also reflect the impact of diets on endogenous metabolism, accounting for individual variation driven by factors such as genetics and gut microbiome composition. For example, metabolites derived from the gut microbiome16, 17 or produced through microbial conversion,18, 19 contribute to the diverse metabolic responses to dietary interventions.16 Therefore, metabolomics offers promise for future incorporation within precision and personalised nutrition interventions, ultimately advancing the broader field of nutrition research.16

While metabolomics is being rapidly integrated as a biological assessment technique in nutrition research,20 it is still in its infancy and therefore improved quality of reporting is required to facilitate consistency, reproducibility of findings, and advancement of the field long-term.

We previously demonstrated that there is extensive variability in the reporting of dietary intervention methodologies (e.g. design, delivery, implementation and interpretation) currently used in human feeding studies measuring the metabolome.15 Commonly, insufficient detail is reported, hindering replication, which limits evidence synthesis in the field of metabolomics.15 For example, information about included/restricted foods, the timing of biospecimen collection in relation to dietary assessment instruments used, or methods used to account for the consumption of nonstudy foods. Detailed information on these items is vital for the interpretation of the metabolome data. While reporting guidelines exist for human intervention studies more broadly,21-23 including the developing CONSORT-Nut,24, 25 a nutrition extension of the CONSORT statement, no reporting guidance currently considers the specific nuances in dietary intervention research in which the metabolome is also measured. Therefore, there is a need for formal consensus on the minimum core set of items required for reporting, along with examples and recommendations for reporting in research papers to guide researchers and the review process. The primary aim was to gain consensus on core diet item details (DID) and standard reporting recommendations for each DID (i.e. a core outcome set, COS) in human feeding studies measuring the metabolome. The secondary aim was to develop a reporting guideline for use by researchers conducting such studies when reporting information in papers, and to assist journal reviewers and editors when critically appraising the papers (see Box 2). The purpose of this paper (i.e. the DID-METAB Statement) is to provide a short overview of the development of the COS and reporting guideline, including the Delphi process, and present the final reporting guideline (i.e. DID-METAB Checklist) to support usability and dissemination.

The DID-METAB Statement was developed by the Precision and Personalised Nutrition (PPN) Team (JJAF, EDC, JS, MGM, TJ and CC) in consultation with the DID-METAB Delphi Working Group under the iterative process of an online Delphi. Development of the core outcome set using the Delphi process was conducted in accordance with the Core Outcome Set-STAndards for Development: The COS-STAD recommendations.27 The development of the reporting guideline was based on guidelines for developers of health research reporting guidelines and modelled off similar efforts.22, 28-30 The PPN Team has collective expertise in human clinical and experimental research design, conduct and implementation of human feeding interventions, dietary assessment methodology, human biospecimen collection and analysis, and design and management of Delphi processes. The DID-METAB Delphi Working Group experts were identified based on their extensive experience and contributions to the field, such as peer-reviewed publications, involvement in key professional organisations, and their recognised expertise and contributions to the field of metabolomics and nutrition research. International experts were invited by the PPN Team and encompassed expertise across clinical and experimental trial design of dietary interventions, feeding study intervention implementation, nutritional metabolomics and/or diet-related biospecimen analyses and interpretation. The two-stage Delphi process comprised five survey rounds, which were implemented online using QuestionPro Survey Software (QuestionPro Inc., Austin Tx). The Delphi was conducted between February 2024 and July 2024 to gain consensus on a core set of DIDs, DID phrasing, reporting recommendations including examples, and acceptance of the final checklist. A total of 67 experts were invited, with 25 providing input in stage 1, and 22 experts retained throughout all three rounds of stage 2.

All DID-METAB Delphi Working Group experts agreed with the PPN Team's recommendation that the checklist should be used alongside existing tools (e.g. as an extension of item 5 in CONSORT 2010 Statement updated guidelines for reporting parallel group randomised trials,23 or item 11 in SPIRIT 2013 Statement: Defining standard protocol items for clinical trials26) and that relevant journals should recommend use of the DID-METAB Checklist for relevant studies. This study was approved by the University of Newcastle's Human Research Ethics Committee (H-2023-0405) and has been registered on the Core Outcome Measures in Effectiveness Trials (COMET Initiative) database (https://www.comet-initiative.org/Studies/Details/3292). The methodology for the development of the reporting guideline, including findings of the Delphi have been thoroughly reported in the more comprehensive Explanation and Elaboration report, available at: [https://advances.nutrition.org/].

The final list of DIDs (29 items), plus examples and recommendations are categorised across five domains: (1) Dietary Intervention—Modelling (items 1 through 8), (2) Dietary Intervention—Implementation (items 9 through 11), (3) Dietary Assessment (items 12 through 20), (4) Adherence and Compliance Monitoring (items 21 through 24) and (5) Bias (items 25 through 29). The recommendations are presented in a checklist (Table 1) to aid users in completing it. The COS recommendations within the DID-METAB Checklist are guidelines for reporting research and do not prescribe how to design feeding studies. Examples are provided for each DID within the checklist, including reporting recommendations for each DID. The hierarchy of reporting recommendations was based on a vote count of the experts' responses and synthesis of their commentary regarding the level of detail to be provided. Reporting recommendations labelled as ‘consider’ and ‘optional’ are nonmandatory reporting items. Those labelled as ‘consider’ guide users to include this detail if possible, as it will likely benefit other researchers/the field, whereas ‘optional’ means given this data may or may not be relevant to report in this manner for a particular study or it may not be of benefit to other researchers, it is not necessary to provide it. To assist the application of the recommendations, we encourage readers to access and utilise the Explanation and Elaboration report.31

The quality of reporting in published research describing details of dietary intervention methods (e.g. design, delivery, implementation and interpretation) used in human feeding studies measuring the metabolome is considered poor.15 Currently, reporting of dietary characteristics and compositions of implemented interventions are highly variable with some studies reporting diets only in terms of macronutrient composition, others reporting foods provided or nutrient targets, while some provide example meal plans and portion sizes.15 The variability spans across several features of dietary intervention methods used in feeding studies.15 Therefore, without detailed and replicable reporting of core information relating to dietary intervention methods, particularly those that concern the validity and interpretation of the metabolome, it remains challenging to replicate research or synthesise the evidence base.

The explicit aim of this COS was to improve the quality of reporting of feeding studies measuring the metabolome by identifying a minimum set of information to be reported in order to provide details about how the diet intervention was designed, delivered and interpreted. The DID-METAB statement was developed to standardise reporting, enhance the peer review process of papers and assist researchers in critically appraising and synthesising published articles. We recommend submitting the checklist as an additional file with the research article. The supporting Explanation and Elaboration report presents published examples of best practice reporting for each item as well as highlighting potential limitations of some approaches. The DID-METAB Statement can be used to enhance the design of feeding studies and ensure all aspects of feeding study interventions are adequately reported with sufficient detail and clarity.

The structured and formal consultation process, high response rate (88%), retention of all 22 international experts in the final three rounds of stage 2 across a broad range of research expertise totalling >200 years, and unanimous consensus on the final checklist are key strengths of the DID-METAB Statement. Implementation of the DID-METAB Statement in research will strengthen the evidence base on nutritional metabolomics and potential application to precision and personalised nutrition strategies.

To encourage dissemination and use of this standard for reporting, we have simultaneously submitted for publication the Explanation and Elaboration report in Advances in Nutrition. The Enhancing the QUAlity and Transparency Of health Research (EQUATOR) Network (www.equator-network.org) will assist in disseminating and promoting the downloadable DID-METAB statement. Announcements, updates, details for contacting the PPN Team and supporting information relating to the DID-METAB Statement, including the downloadable checklist, can be found at the DID-METAB website (https://australianeatingsurvey.com.au/did-metab-statement). We will continue to approach journals identified as being widely read by the medical and research community that are conducting relevant studies to endorse the use of the DID-METAB Statement. The DID-METAB Statement will be periodically reappraised by the PPN Team, and if necessary, modified and/or updated to reflect comments, criticisms and any new evidence.

In conclusion, we recommend that authors publishing articles on human feeding studies where metabolomic samples are collected include a completed checklist in their paper submissions to aid the editorial process, facilitate critical appraisal by the readers and contribute towards advancing the field of metabolomics (available at: https://australianeatingsurvey.com.au/did-metab-statement).

JJAF, EDC, JS, MGM, TJ and CC conceptualised and designed the research. JJAF and TJ collected and assembled the data. JJAF analysed and collated the data, presenting it to EDC, JS and MGM after each stage of the Delphi process to incorporate expert feedback. TJ provided administrative and technical support for the Delphi. JJAF wrote the paper. EDC, JS, MGM, TJ and CC were involved in the critical revision of the paper. All members of the DID-METAB Delphi Working Group were participants in the entire two-stage Delphi process and thus contributed to data collection, the development of the checklist, and reviewed this paper. JJAF had primary responsibility for final content. All authors have read and approved the final manuscript.

EH is supported by a Laureate Fellowship from the Australian Research Council; EH is a director of Melico Ltd. outside the scope of the submitted work with no financial contribution. FZM is supported by a Senior Medical Research Fellowship from the Sylvia and Charles Viertel Charitable Foundation, a National Heart Foundation Future Leader Fellowship (105663), and an NHMRC Emerging Leader Fellowship (GNT2017382). HMS is supported by an NHMRC Emerging Leader Fellowship (APP2018118). MHT is supported by the BBSRC Core Capability Grant BB/CCG2260/1 and its constituent project BBS/E/QU/23NB0006 (Food & Nutrition National Bioscience Research Infrastructure). MS is supported by a National Heart Foundation Postdoctoral Fellowship (106698). JJAF holds a separate part-time employment at Sanitarium Health Food Company, which had no input into the study and is not financially supporting or sponsoring any part of this study. All other authors have no conflict of interest to declare. All DID-METAB Delphi Working Group members were volunteers.

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来源期刊
CiteScore
9.50
自引率
3.60%
发文量
192
审稿时长
1 months
期刊介绍: EJCI considers any original contribution from the most sophisticated basic molecular sciences to applied clinical and translational research and evidence-based medicine across a broad range of subspecialties. The EJCI publishes reports of high-quality research that pertain to the genetic, molecular, cellular, or physiological basis of human biology and disease, as well as research that addresses prevalence, diagnosis, course, treatment, and prevention of disease. We are primarily interested in studies directly pertinent to humans, but submission of robust in vitro and animal work is also encouraged. Interdisciplinary work and research using innovative methods and combinations of laboratory, clinical, and epidemiological methodologies and techniques is of great interest to the journal. Several categories of manuscripts (for detailed description see below) are considered: editorials, original articles (also including randomized clinical trials, systematic reviews and meta-analyses), reviews (narrative reviews), opinion articles (including debates, perspectives and commentaries); and letters to the Editor.
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