Informatics for Your Gut: at the Interface of Nutrition, the Microbiome, and Technology

Overview

Journal Yearb Med Inform

Publisher Thieme

Specialty Medical Informatics

Date 2023 Jul 6

PMID 37414029

Authors

Kate Cooper

Martina Clarke

Jonathan B Clayton

Affiliations

Soon will be listed here.

Abstract

Background: A significant portion of individuals in the United States and worldwide experience diseases related to or driven by diet. As research surrounding user-centered design and the microbiome grows, movement of the spectrum of translational science from bench to bedside for improvement of human health through nutrition becomes more accessible. In this literature survey, we examined recent literature examining informatics research at the interface of nutrition and the microbiome.

Objectives: The objective of this survey was to synthesize recent literature describing how technology is being applied to understand health at the interface of nutrition and the microbiome focusing on the perspective of the consumer.

Methods: A survey of the literature published between January 1, 2021 and October 10, 2022 was performed using the PubMed database and resulting literature was evaluated against inclusion and exclusion criteria.

Results: A total of 139 papers were retrieved and evaluated against inclusion and exclusion criteria. After evaluation, 45 papers were reviewed in depth revealing four major themes: (1) microbiome and diet, (2) usability,(3) reproducibility and rigor, and (4) precision medicine and precision nutrition.

Conclusions: A review of the relationships between current literature on technology, nutrition and the microbiome, and self-management of dietary patterns was performed. Major themes that emerged from this survey revealed exciting new horizons for consumer management of diet and disease, as well as progress towards elucidating the relationship between diet, the microbiome, and health outcomes. The survey revealed continuing interest in the study of diet-related disease and the microbiome and acknowledgement of needs for data re-use, sharing, and unbiased and rigorous measurement of the microbiome. The literature also showed trends toward enhancing the usability of digital interventions to support consumer health and home management, and consensus building around how precision medicine and precision nutrition may be applied in the future to improve human health outcomes and prevent diet-related disease.

Citing Articles

Informatics for One Health.

Fultz Hollis K, Mougin F, Soualmia L Yearb Med Inform. 2024; 32(1):2-6.

PMID: 38575142 PMC: 10994713. DOI: 10.1055/s-0043-1768757.

Intersecting Pathways in Bioinformatics and Translational Informatics: A One Health Perspective on Key Contributions and Future Directions.

Benton M, McGrath S Yearb Med Inform. 2023; 32(1):99-103.

PMID: 38147853 PMC: 10751152. DOI: 10.1055/s-0043-1768745.

References

Hartstra A, Bouter K, Backhed F, Nieuwdorp M . Insights into the role of the microbiome in obesity and type 2 diabetes. Diabetes Care. 2014; 38(1):159-65. DOI: 10.2337/dc14-0769. View

Dening J, George E, Ball K, Islam S . User-centered development of a digitally-delivered dietary intervention for adults with type 2 diabetes: The T2Diet study. Internet Interv. 2022; 28:100505. PMC: 8861390. DOI: 10.1016/j.invent.2022.100505. View

Kamp K, Cain K, Utleg A, Burr R, Raftery D, Luna R . Bile Acids and Microbiome Among Individuals With Irritable Bowel Syndrome and Healthy Volunteers. Biol Res Nurs. 2020; 23(1):65-74. PMC: 7874368. DOI: 10.1177/1099800420941255. View

Balakrishnan B, Selvaraju V, Chen J, Ayine P, Yang L, Babu J . Ethnic variability associating gut and oral microbiome with obesity in children. Gut Microbes. 2021; 13(1):1-15. PMC: 7894456. DOI: 10.1080/19490976.2021.1882926. View

Chuong K, Mack D, Stintzi A, ODoherty K . Human Microbiome and Learning Healthcare Systems: Integrating Research and Precision Medicine for Inflammatory Bowel Disease. OMICS. 2017; 22(2):119-126. PMC: 5810428. DOI: 10.1089/omi.2016.0185. View

Jian Z, Zeng L, Xu T, Sun S, Yan S, Zhao S . The intestinal microbiome associated with lipid metabolism and obesity in humans and animals. J Appl Microbiol. 2022; 133(5):2915-2930. DOI: 10.1111/jam.15740. View

Lymberopoulos E, Gentili G, Budhdeo S, Sharma N . COVID-19 severity is associated with population-level gut microbiome variations. Front Cell Infect Microbiol. 2022; 12:963338. PMC: 9445151. DOI: 10.3389/fcimb.2022.963338. View

Cha E, Kim K, Lerner H, Dawkins C, Bello M, Umpierrez G . Health literacy, self-efficacy, food label use, and diet in young adults. Am J Health Behav. 2014; 38(3):331-9. PMC: 4039409. DOI: 10.5993/AJHB.38.3.2. View

Sharma S, Tripathi P . Gut microbiome and type 2 diabetes: where we are and where to go?. J Nutr Biochem. 2018; 63:101-108. DOI: 10.1016/j.jnutbio.2018.10.003. View

10.

Mennella J, Li Y, Bittinger K, Friedman E, Zhao C, Li H . The Macronutrient Composition of Infant Formula Produces Differences in Gut Microbiota Maturation That Associate with Weight Gain Velocity and Weight Status. Nutrients. 2022; 14(6). PMC: 8951061. DOI: 10.3390/nu14061241. View

11.

Marcos-Zambrano L, Karaduzovic-Hadziabdic K, Loncar Turukalo T, Przymus P, Trajkovik V, Aasmets O . Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment. Front Microbiol. 2021; 12:634511. PMC: 7962872. DOI: 10.3389/fmicb.2021.634511. View

12.

Schloss P . Identifying and Overcoming Threats to Reproducibility, Replicability, Robustness, and Generalizability in Microbiome Research. mBio. 2018; 9(3). PMC: 5989067. DOI: 10.1128/mBio.00525-18. View

13.

Guzzardi M, Ederveen T, Rizzo F, Weisz A, Collado M, Muratori F . Maternal pre-pregnancy overweight and neonatal gut bacterial colonization are associated with cognitive development and gut microbiota composition in pre-school-age offspring. Brain Behav Immun. 2021; 100:311-320. DOI: 10.1016/j.bbi.2021.12.009. View

14.

Kaiser B, Stelzl T, Finglas P, Gedrich K . The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users' Experiences. JMIR Form Res. 2022; 6(8):e34497. PMC: 9389388. DOI: 10.2196/34497. View

15.

Mirzayi C, Renson A, Zohra F, Elsafoury S, Geistlinger L, Kasselman L . Reporting guidelines for human microbiome research: the STORMS checklist. Nat Med. 2021; 27(11):1885-1892. PMC: 9105086. DOI: 10.1038/s41591-021-01552-x. View

16.

Monsivais P, Aggarwal A, Drewnowski A . Time spent on home food preparation and indicators of healthy eating. Am J Prev Med. 2014; 47(6):796-802. PMC: 4254327. DOI: 10.1016/j.amepre.2014.07.033. View

17.

Lee C, Sears C, Maruthur N . Gut microbiome and its role in obesity and insulin resistance. Ann N Y Acad Sci. 2019; 1461(1):37-52. DOI: 10.1111/nyas.14107. View

18.

Crusell M, Hansen T, Nielsen T, Allin K, Ruhlemann M, Damm P . Gestational diabetes is associated with change in the gut microbiota composition in third trimester of pregnancy and postpartum. Microbiome. 2018; 6(1):89. PMC: 5952429. DOI: 10.1186/s40168-018-0472-x. View

19.

Cammarota G, Ianiro G, Ahern A, Carbone C, Temko A, Claesson M . Gut microbiome, big data and machine learning to promote precision medicine for cancer. Nat Rev Gastroenterol Hepatol. 2020; 17(10):635-648. DOI: 10.1038/s41575-020-0327-3. View

20.

Kennedy M, Kumar R, Ryan N, Bennett J, La Hera Fuentes G, Gould G . Codeveloping a multibehavioural mobile phone app to enhance social and emotional well-being and reduce health risks among Aboriginal and Torres Strait Islander women during preconception and pregnancy: a three-phased mixed-methods study. BMJ Open. 2021; 11(11):e052545. PMC: 8614130. DOI: 10.1136/bmjopen-2021-052545. View