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The Gut Mycobiome for Precision Medicine

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Reduced liver mitochondrial energy metabolism impairs food intake regulation following gastric preloads and fasting

Ponte, M. E., Prom, J. C., Newcomb, M. A., Jordan, A. B., Comfort, L. L., Hu, J., Puchalska, P., Koestler, D. C., Geisler, C. E., Hayes, M. R., et al. (2025) · Molecular Metabolism · doi:10.1016/j.molmet.2025.102167 · Cited by 2 · see citing works

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Gut microbiota-epigenetic interactions in systemic aging: mechanistic drivers for endocrine and reproductive network remodeling and therapeutic modulation

Birigwa, C., Tong, Q., Qu, B., Zuo, T., Yuan, W., Xiong, J., & Luo, J. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1826382 · Cited by 1 · see citing works

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González, S., Salazar, N., & Arboleya, S. (2022) · MDPI eBooks · doi:10.3390/books978-3-0365-5364-1 · Cited by 1 · see citing works

Organic food consumption is positively associated with cognitive function among middle-aged and older adults: cross-sectional and longitudinal analyses

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Efficacy of SNAP Education and Associations Between Diet Quality and Chronic Disease Risk in Bhutanese Refugees

Moore, D. (2021) · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)

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Orchard, T., Lohman, M. C., & Kopec, R. E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822130-3.00001-6

Diet and Microbiome in Health and Aging

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Abreu, I. F., Filho, A. H. D. C., de Queiroz, I. R. G., & Caixeta, B. S. (2023) · doi:10.22533/at.ed.90623270928

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Santos, C. P., & Schiabel, H. (2023) · doi:10.22533/at.ed.9062327097

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Neto, B. R. D. S. (2023) · doi:10.22533/at.ed.906232709

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Filho, M. L. S., & Silveira, J. S. (2023) · doi:10.22533/at.ed.9062327093

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Sousa, N. M. F., Macedo, R. C., Vaz, L. D. O., & Brucki, S. M. D. (2023) · doi:10.22533/at.ed.9062327098

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Leroy, M. Y., Lopes, L. F., Faria, R. F., Faria, T. M. V., Prado, D. L. Q., Hirai, W. Y., & Mançano, B. M. (2023) · doi:10.22533/at.ed.90623270912

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dos Santos, L. S., Recktenwald, R. D. R., Goldemberg, E. B., Malheiros, R. T., Sarmento, S. M. D. M., Schreiner, G. E., Schmitt, E. G., Brites, G. E., Rodrigues, A. C. D. O., Maders, L. T., et al. (2023) · doi:10.22533/at.ed.90623270913

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Lana, K. M. D. S., Farias, L. C., Chaves, L. S., Soares, K. M., Alvernaz, C. C. D., & Valadão, A. F. (2023) · doi:10.22533/at.ed.9062327095

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Pereira, V. R., & Viera, R. C. (2023) · doi:10.22533/at.ed.90623270925

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Wenceslau, M. E. D. M., Martins, M. C., Barreiro, B. D. F., Fernandes, J. A., Barbosa, S., & Sá, A. L. B. (2023) · doi:10.22533/at.ed.90623270922

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Araújo, A. C. D. S., Longo, B. G., Paludeto, I. L., de Azevedo, L. F., Striolli, L. M., Rodrigueiro, M. J., & Gelaleti, R. B. (2023) · doi:10.22533/at.ed.90623270927

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Ventura, L. C., Mello, G. D. O., Neto, M. J. V. S., & de Moura, P. M. M. F. (2023) · doi:10.22533/at.ed.90623270924

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Ochoa, H. P. P., Jácome, L. A. A., Núñez, S. V. R., González, D. D. C., Mora, M. B. A., Gutierrez, L. E. R., Gálvez, L. K. M., Lima, X. J. F., Pedreros, A. D. C., Cuasquer, C. A. A., et al. (2023) · doi:10.22533/at.ed.90623270910

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Luciano, B. D., Fonseca, J. D. S., Vieira, J., & Nielsen, M. B. P. (2023) · doi:10.22533/at.ed.90623270921

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de Paiva, B. L. G., Cintra, J. F. M., Pereira, N. C. D. A., Lima, J. R. C., Gomes, F. A., da Silva, L. P. J., Morais, E. G. D. S., & Santos, A. M. D. S. (2023) · doi:10.22533/at.ed.90623270919

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Santos, L. N., Nogueira, F. P. D. S., Frota, I. J. G., Lima, A. P. P. D., de Meneses, M. C. O. S., Fonseca, N. F., dos Santos, M. H. A., BARBOSA, A. S., de Caldas, P. S. G., Pacheco, L. D. A. S., et al. (2023) · doi:10.22533/at.ed.90623270911

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Schreiner, G. E., Maders, L. T., Rodrigues, A. C. D. O., Pereira, C. B., Goldemberg, E. B., Recktenwald, R. D. R., Schmitt, E. G., dos Santos, L. S., Brites, G. E., Sarmento, S. M. D. M., et al. (2023) · doi:10.22533/at.ed.90623270914

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Guimarães, A. S., Lopes, C. L., Conceição, M. F. M., da Conceição, E. D. V., & de Oliveira, R. (2023) · doi:10.22533/at.ed.90623270916

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Freire, A. C. A., Rabelo, B. R., Saraiva, C. V., Araújo, G. D. S., Fialho, G. D. H., Leonel, J. R., Bandos, L. B., Villela, L. F. V., Silva, P. A., & Silva, V. C. L. (2023) · doi:10.22533/at.ed.90623270926

Stratified dietary inflammatory potential identifies oral and gut microbiota differences associated with cognitive function in older adults

Liu, J., Zhang, Y., Li, X., Hou, Z., Wang, B., Chen, L., & Chen, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-02292-5 · Cited by 7 · see citing works

Healthful plant-based diet, gut enterotype, and cognition in a rural Chinese elderly cohort: A longitudinal multi-omics study

Shen, J., Sun, Z., Song, H., Pu, Y., Wang, P., Hailili, G., Huang, Y., Mei, Z., Chen, H., Huang, L., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102797 · Cited by 3 · see citing works

Nutritional strategies modulating the gut microbiome as a preventative and therapeutic approach in normal and pathological age-related cognitive decline: a systematic review of preclinical and clinical findings

Sproten, R., Nöhr, D., & Guseva, D. (2024) · Nutritional Neuroscience · doi:10.1080/1028415x.2023.2296727 · Cited by 14 · see citing works

Associations of the gut microbiota with diet and mild cognitive impairment in elderly individuals: a cross-sectional study

Zhao, H., Li, L., Zhang, L., Li, X., Fu, S., Chen, F., Li, Y., & 左秀丽 (2026) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2026-039

The Association between Gut Microbiome and Cognitive Performance in Cognitively, Normal Older Adults

Bizimana, C. (2022) · KU ScholarWorks (University of Kansas)