Cited by 888Gut microbiota and healthNutrition, Genetics, and DiseaseNutritional Studies and Diet

The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.

Diet-microbiota interactions and personalized nutrition

Kolodziejczyk, Aleksandra A., Zheng, Danping, Elinav, Eran·2019·Nature Reviews Microbiology

Open this paper in CoChat — free account

Abstract

Conceptual scientific and medical advances have led to a recent realization that there may be no single, one-size-fits-all diet and that differential human responses to dietary inputs may rather be driven by unique and quantifiable host and microbiome features. Integration of these person-specific host and microbiome readouts into actionable modules may complement traditional food measurement approaches in devising diets that are of benefit to the individual. Although many host-derived factors are hardwired and difficult to modulate, the microbiome may be more readily reshaped by environmental factors such as dietary exposures and is increasingly recognized to potentially impact human physiology by participating in digestion, the absorption of nutrients, shaping of the mucosal immune response and the synthesis or modulation of a plethora of potentially bioactive compounds. Thus, diet-induced microbiota alterations may be harnessed in order to induce changes in host physiology, including disease development and progression. However, major limitations in 'big-data' processing and analysis still limit our interpretive and translational capabilities concerning these person-specific host, microbiome and diet interactions. In this Review, we describe the latest advances in understanding diet-microbiota interactions, the individuality of gut microbiota composition and how this knowledge could be harnessed for personalized nutrition strategies to improve human health.

Integrity signals

Registry

Crossref · 10.1038/s41579-019-0256-8

Cites

174 of 174 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
Metabolic Endotoxemia Initiates Obesity and Insulin Resistance
Cani, P. D., Amar, J., Iglesias, M. A., Poggi, M., Knauf, C., Bastelica, D., Neyrinck, A. M., Fava, F., Tuohy, K. M., Chabo, C., et al. (2007) · Diabetes · doi:10.2337/db06-1491 · Cited by 6,638
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597
Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579

Show all 174 references

Sorted by citations

Items 801–888 of 888

Additional file 7 of Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
Wang, J., Teng, M., Feng, R., Su, X., Xu, K., Wang, J., Wang, G., Zhang, Y., & Xu, P. (2024) · Figshare · doi:10.6084/m9.figshare.26692786
Additional file 3 of Influence of low FODMAP-gluten free diet on gut microbiota alterations and symptom severity in Iranian patients with irritable bowel syndrome
Naseri, K., Dabiri, H., Rostami-Nejad, M., Yadegar, A., Houri, H., Olfatifar, M., Sadeghi, A., Saadati, S., Ciacci, C., Iovino, P., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14985035
Additional file 4 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773900
Additional file 1 of Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
Wang, J., Teng, M., Feng, R., Su, X., Xu, K., Wang, J., Wang, G., Zhang, Y., & Xu, P. (2024) · Figshare · doi:10.6084/m9.figshare.25405969
Additional file 2 of Deciphering the gut microbiome of grass carp through multi-omics approach
Li, M., Liang, H., Yang, H., Ding, Q., Xia, R., Chen, J., Zhou, W., Yang, Y., Zhang, Z., Yao, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24934740
Additional file 7 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773909
Additional file 8 of Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
Wang, J., Teng, M., Feng, R., Su, X., Xu, K., Wang, J., Wang, G., Zhang, Y., & Xu, P. (2024) · Figshare · doi:10.6084/m9.figshare.26692789
Additional file 1 of Deciphering the gut microbiome of grass carp through multi-omics approach
Li, M., Liang, H., Yang, H., Ding, Q., Xia, R., Chen, J., Zhou, W., Yang, Y., Zhang, Z., Yao, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24934267
Additional file 9 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773915
Additional file 1 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773891
Additional file 1 of Cluster-specific associations between the gut microbiota and behavioral outcomes in preschool-aged children
van de Wouw, M., Wang, Y., Workentine, M. L., Vaghef-Mehrabani, E., Barth, D., Mercer, E. M., Dewey, D., Arrieta, M.-C., Reimer, R. A., Tomfohr‐Madsen, L. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25459499
Additional file 4 of Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
Wang, J., Teng, M., Feng, R., Su, X., Xu, K., Wang, J., Wang, G., Zhang, Y., & Xu, P. (2024) · Figshare · doi:10.6084/m9.figshare.26692777
Additional file 5 of Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
Wang, J., Teng, M., Feng, R., Su, X., Xu, K., Wang, J., Wang, G., Zhang, Y., & Xu, P. (2024) · Figshare · doi:10.6084/m9.figshare.26692780
Additional file 2 of Modulation of gut microbiota through nutritional interventions in Behçet’s syndrome patients (the MAMBA study): study protocol for a randomized controlled trial
Pagliai, G., Dinu, M., Fiorillo, C., Becatti, M., Turroni, S., Emmi, G., & Sofi, F. (2020) · Figshare · doi:10.6084/m9.figshare.12456914
Additional file 8 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773912
Additional file 2 of Efficacy of diet on fatigue, quality of life and disability status in multiple sclerosis patients: rapid review and meta-analysis of randomized controlled trials
Aznar, M. D. G., Villanueva Guerrero, M. D., Cordero-Ramos, J., Eichau Madueño, S., Bravo, M. M., Ruiz, R. L., & García, M. B. (2022) · Figshare · doi:10.6084/m9.figshare.21376285
Additional file 1 of Modulation of gut microbiota through nutritional interventions in Behçet’s syndrome patients (the MAMBA study): study protocol for a randomized controlled trial
Pagliai, G., Dinu, M., Fiorillo, C., Becatti, M., Turroni, S., Emmi, G., & Sofi, F. (2020) · Figshare · doi:10.6084/m9.figshare.12456911
Additional file 3 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773897
Additional file 6 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773906
Additional file 1 of Critical complex network structures in animal gastrointestinal tract microbiomes
Ma, Z. (., & Shi, P. (2024) · Figshare · doi:10.6084/m9.figshare.26715760
Additional file 2 of Effect of sequentially fed high protein, hydrolyzed protein, and high fiber diets on the fecal microbiota of healthy dogs: a cross-over study
Martínez-López, L. M., Pepper, A., Pilla, R., Woodward, A. P., Suchodolski, J. S., & Mansfield, C. (2021) · Figshare · doi:10.6084/m9.figshare.14773894
Additional file 2 of Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
Wang, J., Teng, M., Feng, R., Su, X., Xu, K., Wang, J., Wang, G., Zhang, Y., & Xu, P. (2024) · Figshare · doi:10.6084/m9.figshare.25406088
Nasal, Oral, and Gut Microbiome Influences on Perception of Sensory Qualities of Food
Menghi, L., & Cattaneo, C. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29139-5.00039-2
Comparative analysis of intestinal morphology and intestinal microbiota composition of bullfrogs (Aquarana catesbeiana) at different growth stages
Xie, J., Zheng, X., Chen, Q., Liang, X. S., Dong, H., Zhou, S., Yuan, X., & Zhang, J. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1715163
Персонализированное питание. Роль масложировых продуктов
Фролова, Н. Н. (2025) · Vestnik Vserossijskogo naučno-issledovatelʹskogo instituta žirov. · doi:10.25812/vniig.2025.83.11.011
Complex interactions between stress, nutrition, gut microbiota, and infectious diseases and their impact on health in global conflicts: A narrative review
Petakh, P., Halabitska, I., Petrecka, H., Huber, W., & Kamyshnyi, O. (2026) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2026.110267
Microbial Metabolites and Their Role in Human Health
Hassan, S., Zarwa, W., Riaz, M., Anas, M., Iqbal, J., Abbasi, B. A., Yaseen, T., Ijaz, S., & Madan, A. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4382-2.ch006
Introduction to Microbiome and Nutrition
Falak, A., Hassan, S., Anas, M., Iqbal, J., Abbasi, B. A., Yaseen, T., & Imtiaz, M. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4382-2.ch001
A Microbial Odyssey: Reshaping Probiotic Destinies through Advanced Delivery Technologies
Zhang, A., Rong, Y., Gao, Y., Fan, G., Zhao, A., & Qi, S. (2026) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-026-10926-x
Diet-Microbiota Interactions in Metabolic Health: A Review of Personalized Nutritional Strategies for Gut Dysbiosis
Judijanto, L. (2026) · European Journal of Medical and Health Research · doi:10.59324/ejmhr.2026.4(1).32
Nutritional and metabolic signatures in pediatric phenylketonuria and hyperphenylalaninemia: Insights from untargeted urinary metabolomics
Barrau-Martínez, B., Gonzalez-Rodriguez, A., García-Arenas, D., Campistol, J., Meavilla, S. M., Roca-Vives, R., Jáuregui, O., Ormazábal, A., Llorach, R., & Urpí-Sardà, M. (2026) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2026.110307
Metatranscriptomic analyses of gut bacterial and viral communities in the critically endangered Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis) under distinct environments
Fan, S., Liu, H., Yan, Y., Xu, M., Wan, X., Hao, Y., Gong, C., Wang, C., Zhang, Y., Liu, D., et al. (2026) · Animal Microbiome · doi:10.1186/s42523-026-00528-x
Polarity-aware knowledge graph reveals diet–microbiome–health mechanisms with relevance to muscle, immune and metabolic aging
Li, J., Bu, E., Lian, A., Li, Y., & Tao, C. (2026) · npj Science of Food · doi:10.1038/s41538-026-01105-x
Serum Element-Driven Gut Microbial Disturbances and Their Predictive Implications for Gestational Dyslipidemia: A Prospective Birth Cohort Study
Zhou, A., Jin, B., Lu, J., Chen, J., Zhang, Y., Dong, C., Guan, Q., Zou, Y., Peng, Y., & Xia, Y. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.5c14364
149Chapter 7 Functional Foods and Management of Human Gut Microbiome: Recent Advances and Future Prospective
Ahmed, N., Prajapati, H., Chauhan, M. R., Raval, V. H., Sehrawat, N., & Singh, N. A. (2025) · De Gruyter eBooks · doi:10.1515/9783112205150-007
Can gut microbiota-supportive dietary patterns mitigate hypertension risk? Evidence from a national survey
Shen, W., Zhu, W., Xie, L., & Luo, C. (2026) · European journal of medical research · doi:10.1186/s40001-026-04212-3
Exploring the Potential of Probiotics and Gut Microbiota Modulation in the Management of Rheumatoid Arthritis: A Review of Current Mechanisms and Therapeutic Strategies
Gojare, S. A., Aher, P., Lokhande, R., Game, N., & Khamkar, P. N. (2026) · Journal of Drug Delivery and Therapeutics · doi:10.22270/jddt.v16i3.7639
Modulating microbial intake helps to maintain the gut microbiome diversity
Marquioni, V. M., Hofacker, A.-C., Villavicencio, J. V., & Bansept, F. (2026) · Communications Biology · doi:10.1038/s42003-026-09867-6
Microbiome Metabolites and their Therapeutic Potential in Insulin Resistance and Type-2 Diabetes Management
Joshi, R., Dwivedi, J., Singh, S., Paliwal, S., Sharma, S., Mishra, A., & Singh, S. (2026) · SN Comprehensive Clinical Medicine · doi:10.1007/s42399-026-02357-0
The Metabolic Calibration of Female Immune Plasticity: From X-Linked Vulnerability to Precision Metabotyping
Huang, Z., Ren, J., Shu, Q., Tang, Y., Zhang, J., Yu, W., Zhang, C., Pang, Y., Liu, L., Han, J., et al. (2026) · Biology · doi:10.3390/biology15070558
Colonisation digestive par entérobactéries productrices de carbapénémase dans un modèle murin : aggravation de la pneumopathie à Pseudomonas aeruginosa
Guern, R. L. (2019) · theses.fr (ABES) · doi:10.70675/df8d5bddz7fd8z4510za8b0z2d2b5dd1b937
Interactions between prebiotics and health-relevant commensal bacteria : impact on bacterial growth and metabolic activities
Bedu-Ferrari, C. (2022) · theses.fr (ABES) · doi:10.70675/17cf5e69z9e36z4daczb0b6z93f0767b79db
HMMS in clinical therapy and precision medicine
Duan, L. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-31402-5.00004-9
Health Effects of Dietary Diversity : Exploration through Cancer Risk, Metabolomic Signatures and Microbiome Diversity
Chimera, B. (2025) · doi:10.70675/274e46a6ze0bbz4decza46dz3511f945d64b
Microbiome-targeted precision nutrition in poultry: a new paradigm integrating diet, gut–immune axis and mycotoxin detoxification
El-Hack, M. E. A. (2026) · World s Poultry Science Journal · doi:10.1080/00439339.2026.2653150
Effects of castration on growth performance and cecal microbiota in growing raccoon dogs: an exploratory study
Jiao, G., Jia, Y., Li, X., Han, Z., Xie, L., Zhang, X., Du, R., 赵伟刚, & Xu, C. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05526-4
Research advancement on the correlation between gut microbiota and chronic kidney disease
Wu, R., & 么改琦 (2026) · Antonie van Leeuwenhoek · doi:10.1007/s10482-026-02331-9
Advancing Well-Being
Patel, T. K. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4047-0.ch003
Anti-inflammatory dietary interventions in inflammatory bowel disease: current insights and future perspectives
Li, M., Jiang, C., Wang, B., Guan, Z., & Li, L. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1817465
The Tight Connection Between the Gut Microbiota and Childhood Acute Lymphoblastic Leukaemia: An Updated Review
Arrabito, M., Pulvirenti, G., Santagati, M., Stefani, S., Russo, G. M., & Nigro, L. L. (2026) · Journal of Molecular Pathology · doi:10.3390/jmp7020019
16S rRNA Gene Amplicon Sequencing of Gut Microbiota in Gestational Diabetes Mellitus and Type 2 Diabetes Mellitus
Yao, Q., Zhou, H., Chaomeng, Z., Song, Z., Gao, J., & Wei, J. (2026) · Journal of Diabetes Research · doi:10.1155/jdr/3036209
Machine learning-based Personalized Dietary Recommendations to Achieve Desired Gut Microbial CompositionsPreprint
Wang, X.-W., Huang, D., Yu, P., Weiss, S. T., & Liu, Y. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.12.724618
The Human Microbiota: Composition and Functions
Sobti, R. C., Negi, R. K., & Rana, A. (2026) · Springer eBooks · doi:10.1007/978-981-95-9031-5_2
Associations of dietary diversity with constipation symptoms and gut microbiota features in individuals with functional constipation
Tang, A., Tian, T., Wei, L. I., LI, Y., Lai, H., Wang, M., He, J., Feng, X., Chen, H., He, Y., et al. (2026) · Nutrition · doi:10.1016/j.nut.2026.113284
The current status and emerging trends in the application of precision nutrition for the comprehensive, lifecycle-based management of chronic liver diseases
Lou, M., Zhang, X., Xiao, S., Zhou, M., Qiao, H., Wang, F., & Xing, Y. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1827158
Translational human gut microbiome research: What are the missing pieces of the puzzle?
Fassarella, M., & Smidt, H. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08490-7
Fermentation for Personalized Nutrition—AI-Driven Approaches to Tailor Fermented Foods to Individual Needs
Muthuvel, I., Priyadharshini, D., Ponnaiah, S. K., Kavitha, P. S., & Selvaraj, K. V. (2026) · Springer eBooks · doi:10.1007/978-3-032-29927-7_7
Distinct SCFA profiles drive contrasting impacts of whole versus refined grains on metabolic health and body composition beyond inflammation in older adults: a secondary analysis of a randomized controlled trial
Ge, Z., Cheng, L., Wang, J., Ding, B., Li, Y., Wang, N., Bi, Y., Wang, Y., Wang, Y., Peng, Z., et al. (2026) · Nutrition & Metabolism · doi:10.1186/s12986-026-01165-6
Selective Gut Microbiota Remodeling Induced by a Traditional Mexican Diet and Exercise Program Improves Metabolic Health and Intestinal Permeability in Adults with Obesity and Affective Symptoms
Samudio-Cruz, M. A., Cabrera-Ruiz, E., Cerqueda‐García, D., Rodríguez-Sobrino, P. D., Luna‐Angulo, A. B., Landa‐Solís, C., Canizales‐Quinteros, S., Valencia-León, J. F., López-Contreras, B. E., Carrillo‐Mora, P., et al. (2026) · Nutrients · doi:10.3390/nu18142308
Dietary factors and cognitive aging: Mapping epidemiological evidence and the role of gut microbiota
Chen, H., Shen, J., Liu, X., Ni, J., Rong, S., Zheng, J.-S., Xu, W., Huang, G., Luo, B., Zheng, Y., et al. (2026) · The Innovation Nutrition · doi:10.59717/j.xinn-nutri.2026.100030 · Cited by 1
Interindividual Variability in Raffinose Fermentation by Human Gut Microbiota and Metabolomic Signature of a High-Efficiency In Vitro Degrader, Limosilactobacillus reuteri subsp. reuteri
Dai, W., Quan, M., Yu, G., & Shang, Q. (2026) · Foods · doi:10.3390/foods15152649
Functional Foods and Micro- and Nanoplastics: Advances in Precision Nutritional Medicine for Oral–Gut–Brain Axis Health
Scuto, M. C., Cinzia, L., Zerbo, G., Ledda, C., Isola, G., Musso, N., & Salinaro, A. T. (2026) · Antioxidants · doi:10.3390/antiox15080951
Integrated multiomics analysis reveals metabolic and microbiome alterations in Wilson disease
Ripollés, E., Hernández-Calderón, P., Palomino-Schätzlein, M., Jorge-Bueno, L., Bono, A., Miralpeix, A., Bataller, I. S., García‐Villarreal, L., Tugores, A., Mariñó, Z., et al. (2026) · iScience · doi:10.1016/j.isci.2026.117101
Gut microbial arginine biosynthesis mediates the anti-obesity effect of a pasteurized Akkermansia muciniphila 11Preprint
Wu, Y., Jiang, Y., Wu, J., Qu, Z., Niu, Y., Tian, W., Lu, Y., Jia, Z., Zhang, J., Dong, Y., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9834663/v1
Individualistic microbiota: A useful tool for forensic analysis
Kandari, A., Al-Odat, M. A., & Taqi, A. F. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40634-8.00038-6
Research Progress on the Relationship between Radiation Enteritis and the Gut Microbiota
Wang, Y., & Shi, Y. (2026) · Journal of Biosciences and Medicines · doi:10.4236/jbm.2026.148028
AI-guided nanoformulation of food-derived bioactive peptides: Toward adaptive functional foods and precision nutrition
Hamadou, M., Mishra, S. K., Sharma, P., Nandwa, J. O., Başaran, B., Vavricka, C. J., & Mune, M. A. M. (2026) · Food Research International Reports · doi:10.1016/j.frinr.2026.100025
Health benefits of fermented foods: a strategic roadmap from the PIMENTO initiative
Güzel, M., Mukherjee, A., Assunção, R., Frı́as, J., Humblot, C., Laranjo, M., Savary‐Auzeloux, I., Yılmaz, B., Chassard, C., Praćer, S., et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1904521
Associations of the dietary phytochemical index with gastrointestinal symptoms and negative emotional state in Turkish adults: a cross-sectional study
Karahan, T. Ö., Baran, B., Tazegül, İ., Ketenci, S. D., Beyazkaya, Y., Kenger, E. B., & Avuk, H. S. (2026) · Nutrire · doi:10.1186/s41110-026-00541-9
Microbiota-mediated gut–brain communication following whey protein supplementation and resistance training: current evidence linking gastrointestinal function and cognitive health
Li, H., Zheng, J., Zhang, G., Dong, X., Zhang, Z., Lu, S., & Gao, F. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2026.1918695
Tract-wide transcriptomic and metabolomic profiling reveals gastrointestinal regionalization in Jiekarzi semi-fine wool sheep
Zaighum, M., Wei, C., Song, T., Luosang, Sun, Y., Long, H., Duoji, O., Shahzad, K., Ye, W., Li, J., et al. (2026) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2026.102034
The microbiome: Its impact on cancer development and therapeutic responses
Sahu, S. K., Polu, P. R., Singh, I., & Parida, S. K. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33206-7.00007-8
Applications of artificial intelligence in personalized nutrition interventions
Zhang, Y., Feng, M., Xue, Q., Ma, R., & Liu, F. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1974199
Dysbiosis Testing and Chronic Intestinal Inflammation
Khan, M., Grech, G., & Boyko, N. (2026) · Advances in predictive, preventive and personalised medicine · doi:10.1007/978-3-032-32838-0_15
Functional Food Microecology: An integrated strategy from gut modulation to systemic health
Sun, J., & Lun, Y. (2026) · MicroBiome and One Health · doi:10.1016/j.micoh.2026.100006
Prebiotic dietary fibers, gut microbiota, and short-chain fatty acid production: from fermentation mechanisms to clinical translation
Charumathi, K., Kim, S., & Shin, H. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1927734
Food for thought: Functional foods and microbial metabolites in diet-microbiome-brain communication
Tutu, C. O., Asiedu, B. K., Akonor, P. T., Acheampong, R., Obeng, R., Owusu-Bempah, J., Mahama, S., Wiafe‐Kwagyan, M., Nartey, J., Antwi, B., et al. (2026) · Journal of Functional Foods · doi:10.1016/j.jff.2026.107529
DIETARY FIBER INTAKE IN COLORECTAL CANCER PREVENTION: EPIDEMIOLOGICAL EVIDENCE, MICROBIOTA-MEDIATED MECHANISMS, AND DIETARY PATTERN INTERACTIONS—A NARRATIVE REVIEW
Czerny, I., Daniszewski, S., Marek, J., Cupriak, P. J., Pelc, J., Czerny, I., Radziwiłko, J. M., Czachurska, M., Dudek, P., & Wiśniewska, A. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6284
The role of microbiota on thyroid cancer: from carcinogenicity, treatment and predictability
Han, J.-L., Lu, X.-D., & Du, J.-J. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1912576
Microbial Metabolic Messengers from Fermented Foods: Multi-Organ Regulation of Energy Homeostasis and Obesity
Hu, B., Liu, Y., Zhang, X., & Manickam, S. (2026) · Nutrition Reviews · doi:10.1093/nutrit/nuag146
The gut-pancreas axis: microbial dysbiosis as a pathogenic driver of diabetes and pancreatic cancer
Li, Y. (2026) · Medical Oncology · doi:10.1007/s12032-026-03421-4
Gut microbiota shaping fatty liver disease progression
Wysokińska, M., Mysza, M., Uryga, A., & Kolodziejczyk, A. A. (2026) · Life Science Alliance · doi:10.26508/lsa.202603756
Self-citation
Disentangling microbiota-dependent and -independent impacts of antibiotics on host physiology
Zelik, L., Levin, Y., Sawaed, J., Telpaz, S., Zigdon, M., Nuriel‐Ohayon, M., Rubin, E., Gordon, A., Mogilevski, Z., Yehuda, A., et al. (2026) · Nature Microbiology · doi:10.1038/s41564-026-02453-w
The Multisite Microbiome-Vascular Axis in Health and Disease: From Local Niches to Systemic Consequences
Liu, W., Zhang, X., Wang, J., Shi, Y., Yang, H., Li, C., Lan, W., Chen, T., & Tang, Y. (2026) · Vascular Research · doi:10.15302/vr.2026.0002
Peppermint oil exhibits antispasmodic and anti-inflammatory properties and alters gut microbial community composition and gas production in vitro
Buettner, C., Peterburs, P., Schulz-Kuhnt, A., Herrmann, L., Soeberdt, M., & Abels, C. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1963380
AI-Based Nutrition Analyzer for Fitness: A YOLO-Driven Approach to Real-Time Food Detection and Personalized Health Management
L, J. L. S., G, R. V., & L, J. S. (2026) · IEEE International Conference on Recent Advances in Electronics, Communication, Computing, Automation and Power (RECCAP) · doi:10.1109/reccap69368.2026.11723540
Gut Microbiota in Alzheimer’s Disease and Healthy Aging: Mechanisms, Prevention Strategies and Healthcare Burden
Çelik, M. N., Mohammadzadeh, M., AHISKALI, M., Us, N. C., & Söğüt, M. Ü. (2026) · Current Nutrition Reports · doi:10.1007/s13668-026-00812-x
Dietary diversity indicators: evolution, measurement, and interpretative challenges
Kipkoech, B., Fororo, T. B., & Kilel, M. (2026) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2026.1954641

Authors: Kolodziejczyk, A. A., Zheng, D., & Elinav, E.
Affiliations: Weizmann Institute of Science (IL)
Sun Yat-sen University (CN)
German Cancer Research Center (DE)
Corresponding author: Elinav, Eran
ORCID: Kolodziejczyk, Aleksandra A.
Zheng, Danping
Elinav, Eran
Venue: Nature Reviews Microbiology
Publisher: Springer Science and Business Media LLC
Published: 2019-09-20
Volume: 17
Issue: 12
Pages: 742-753
ISSN: 1740-1526 (ISSN-L)
1740-1534
DOI: 10.1038/s41579-019-0256-8
OpenAlex: W2974721962
Cited by: 879
References: 174
Citations by year: 2026: 89 · 2025: 122 · 2024: 131 · 2023: 125 · 2022: 143 · 2021: 175 · 2020: 88 · 2019: 6
FWCI: 9.14
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature Reviews Microbiology (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Keywords: diet-microbiome interactions, gut microbiota, personalized nutrition, host-microbiome interactions, host physiology, mucosal immune response, nutrient absorption, disease development, big data analytics
MeSH terms: Gastrointestinal Microbiome, Host Microbial Interactions, Diet, Humans, Individuality, Precision Medicine, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Diet-microbiota interactions and personalized nutrition

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks