Zhenjun Zhu
Yu-Long Li
Shuang Song- 1Department of Food Science and Engineering, College of Science and Engineering, Jinan University, Guangzhou, China
- 2Department of Emergency Medicine, University of Nebraska Medical Center, Omaha, NE, United States
- 3School of Food Science and Technology, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
Editorial on the Research Topic
Biomarkers: precision nutrition in chronic diseases
Chronic diseases, such as cardiovascular diseases, diabetes, cancer, and arthritis, constitute significant causes of morbidity and mortality on a global scale, with their prevalence steadily rising across all age groups, genders, and ethnicities (1). Growing evidence indicates that precision nutrition plays a crucial role in the prevention and management of chronic diseases, garnering recognition as a key area of focus for health research in the next decade (2, 3). Nonetheless, one of the primary challenges in precision nutrition lies in the accurate and reliable assessment of foods and nutrients, particularly with regards to complex foods and macromolecules. Additionally, there is a need to determine how these foods and nutrients impact the health and disease status of individuals.
Promisingly, robust evidence strongly supports the use of biomarkers as an intermediary tool that effectively establishes a connection between precision nutrition and chronic diseases (4). This connection facilitates the objective assessment of food consumption and provides precise determinations of the biological effects of complex foods and ingredients (5, 6). Despite these advancements, our current understanding of how precision nutrition regulates biomarkers to prevent chronic diseases with individual variations is still in its infancy. The molecular mechanisms that underlie the involvement of key biomarkers in chronic diseases remain inadequately elucidated, necessitating comprehensive and extensive research efforts to bridge this knowledge gap. Therefore, the objective of this Research Topic is to gather the latest research that uncovers the role of key biomarkers in chronic diseases and explores how precision nutrition can modulate this process in diverse populations. By investigating the interaction between precision nutrition, biomarker discovery, and chronic diseases, we can gain valuable insights into the implementation of precision nutrition approaches for the effective prevention and management of chronic diseases.
For this Research Topic, a total of 72 manuscripts were received, out of which 25 have been published. Such a high number of submissions indicates that the topic is currently a prominent research focus and a significant area of interest. Presented below is a brief overview of the 25 published articles.
Several novel potential biomarkers for various chronic diseases have been identified in this Research Topic. Among them, a single substance serves as the biomarker, such as 25-hydroxyvitamin D for coronary heart disease (Zhang H. et al.), retinol for non-alcoholic fatty liver (Niu et al.), fluorescent advanced glycation end products for type 2 diabetes (Liu R. et al.), and branched-chain amino acids for moyamoya disease (Zeng et al.). Additionally, the ratio of different substances has been proposed as the biomarker. Hyun et al. and Xia et al. found that the creatine to cystatin C (Cr/CysC) ratio and the albumin to globulin ratio can serve as non-invasive biomarkers for the prognosis of chronic kidney disease and urological cancers, respectively. Notably, Gao et al. have found that the Cr/CysC ratio could also be a potential biomarker for osteoporosis. Furthermore, Cai et al. identified the geriatric nutritional risk index as a potential marker for stroke in elderly hypertensive patients, and Ávila et al. found the level of phosphorus combined with albumin as a potential marker for all-cause mortality and cardiovascular mortality. Intriguingly, Zhang Y. et al. demonstrated that differentially expressed genes related to ferroptosis could be employed as new biomarkers for identifying ischemic stroke and guiding therapeutic interventions. These discovered biomarkers provide an important theoretical foundation for the prevention and management of related chronic diseases, as well as contribute to the understanding of the pathogenesis underlying various chronic diseases.
This Research Topic encompasses some studies focusing on the application of precision nutrition to prevent chronic diseases based on biomarkers, which are typical physiological indicators of such conditions. For instance, studies by Tao et al., Yang et al., Li et al., and Fang et al. demonstrate that dietary supplementation of functional factors, namely anthocyanin, glutamine, Vitamin K, and fatty acids, can respectively alleviate heart failure, high salt-induced hypertension, vascular calcification, and bone mineral loss. However, it is important to exercise caution regarding the dosage of dietary functional factors as excessive fatty acid intake can contribute to metabolic diseases. Other articles highlight the positive effects of complex foods on various chronic diseases. For example, Huo et al. demonstrate that dietary fruit consumption improves functional constipation, Shahdadian et al. endorse a plant-based diet for managing metabolic syndrome, Hevilla et al. propose specific oral nutritional supplements (ONS) to address inflammation/oxidation, and Zamani et al. suggest saffron for mitigating cardiovascular diseases. Notably, Hevilla et al. also observe a synergistic effect of probiotic supplementation in conjunction with specific ONS on inflammation/oxidation. Additionally, Huang et al. demonstrate that combined training, involving resistance training along with high-intensity interval training or moderate-intensity continuous training, is beneficial for non-alcoholic fatty liver disease treatment. In addition to these dietary strategies for preventing or treating chronic diseases, Liu T.-h. et al. mention that dietary patterns also contribute to the onset of such conditions, such as a high-salt diet exacerbating the intestinal aging process. These dietary functional factors and complex foods present effective preventive measures for managing chronic diseases. However, the specific mechanisms responsible for the regulation of these biomarkers have not been thoroughly explored, highlighting the need for further research in this area.
During the process of mining biomarkers, it is crucial to consider the individual differences among research subjects. Jáni et al. demonstrate that some factors such as birth length, puberty onset, and visceral fat levels can collectively influence the biological aging process, accounting for 21% of the observed variation. Furthermore, the findings reviewed by Wuni et al. suggest that additional factors, such as individual socio-economic status and architectural environment, also influence the same process. Consequently, it becomes imperative to enhance the reliability of biomarker mining using cutting-edge techniques such as bioinformatics technology. Cole et al. employed genetic heritability as a tool to evaluate the accuracy of dietary questionnaire variables in their research, thereby bolstering the credibility of biomarker mining in dietary studies. Additionally, Barbe et al. effectively circumvented the impact of individual variability on nutritional intervention in immune and metabolic health by utilizing metabolomics-based clustering methods. Similarly, Xu et al. employed a bidirectional Mendelian randomization study to establish hypothetical causal relationships between circulating vitamin D and estimated bone mass, plasma triglycerides, and total cholesterol. This approach helped avoid inconsistencies in results caused by the presence of confounding factors. Despite the advances made by these approaches in bolstering the credibility of biomarker mining, the process remains susceptible to numerous unpredictable confounders. Therefore, further advancements are required to enhance the causal verification of biomarkers through animal experiments and human clinical studies.
In conclusion, this Research Topic has contributed to a better understanding of additional biomarkers associated with chronic diseases and the measures of precision nutrition interventions. Furthermore, the topic addresses factors that may interfere with biomarker identification and presents effective techniques for circumventing these challenges. However, the causal verification of biomarkers and the molecular mechanisms underlying their precise nutritional regulation still require further clarification, which will be the central focus of the articles included in Volume II of this Research Topic.
Author contributions
ZZ prepared the first draft. Y-LL and SS critically reviewed and edited it. All authors approved the submitted version.
Funding
This work was supported by the National Natural Science Foundation of China (32202014 to ZZ), Guangdong Basic and Applied Basic Research Foundation (2023A1515010744 to ZZ), Open Project Program of State Key Laboratory of Food Science and Technology, Nanchang University (SKLF-KF-202222 to ZZ), State Key Laboratory of Applied Microbiology Southern China (SKLAM011-2021 to ZZ), Guangzhou Basic and Applied Basic Research Project (202201010197 to ZZ), National Institute of Health's National Heart, Lung, and Blood Institute (R01HL-137832 and R01HL144146 to Y-LL), and American Heart Association (15GRANT24970002 and 23TPA1064315 to Y-LL).
Acknowledgments
We express our gratitude to the authors for their submission to this Research Topic, as well as to the reviewers who offered valuable comments on the individual contributions.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Wang P, Song M, Eliassen AH, Wang M, Fung TT, Clinton SK, et al. Optimal dietary patterns for prevention of chronic disease. Nat Med. (2023) 29:719–28. doi: 10.1038/s41591-023-02235-5
2. Wang DD, Hu FB. Precision nutrition for prevention and management of type 2 diabetes. Lancet Diabetes Endocrinol. (2018) 6:416–26. doi: 10.1016/S2213-8587(18)30037-8
3. Demetrowitsch TJ, Schlicht K, Knappe C, Zimmermann J, Jensen-Kroll J, Pisarevskaja A, et al. Precision nutrition in chronic inflammation. Front Immunol. (2020) 11:587895. doi: 10.3389/fimmu.2020.587895
4. Pico C, Serra F, Rodriguez AM, Keijer J, Palou A. Biomarkers of nutrition and health: new tools for new approaches. Nutrients. (2019) 11:1092. doi: 10.3390/nu11051092
5. Zhu Z, Huang R, Liu W, Wang J, Wu S, Chen M, et al. Whole Agrocybe cylindracea prevented obesity linking with modification of gut microbiota and associated fecal metabolites in high-fat diet-fed mice. Mol Nutr Food Res. (2022) 66:e2100897. doi: 10.1002/mnfr.202100897
Keywords: precision nutrition, biomarkers, chronic diseases, dietary intervention, multi-omics, bioinformatics, gut microbiota, metabolite
Citation: Zhu Z, Li Y-L and Song S (2023) Editorial: Biomarkers: precision nutrition in chronic diseases. Front. Nutr. 10:1257125. doi: 10.3389/fnut.2023.1257125
Received: 12 July 2023; Accepted: 13 July 2023;
Published: 24 July 2023.
Edited and reviewed by: Maurizio Muscaritoli, Sapienza University of Rome, Italy
Copyright © 2023 Zhu, Li and Song. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zhenjun Zhu, zzj1904@jnu.edu.cn