The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Gut Microbiota Interacts With Brain Microstructure and Function
Abstract
CONTEXT: Evidence from animals suggests that gut microbiota affects brain structure and function but evidence in humans is scarce. OBJECTIVE: This study sought to evaluate potential interactions among gut microbiota composition, brain microstructure, and cognitive tests in obese and nonobese subjects. DESIGN, SETTING, AND PARTICIPANTS: This was a cross-sectional study at a tertiary hospital including 20 consecutive obese and 19 nonobese subjects similar in age and sex. MAIN OUTCOME MEASURES: Gut microbiota (16S bacterial gene pyrosequencing), brain microstructure (diffusion tensor imaging of brain white and gray matter and R2* sequences in magnetic resonance imaging) and cognitive tests. RESULTS: Hierarchical clustering revealed a specific gut microbiota-brain map profile for obese individuals who could be discriminated from nonobese subjects (accuracy of 0.81). Strikingly, Shannon index was linked to R2* and fractional anisotropy of the hypothalamus, caudate nucleus, and hippocampus, suggesting sparing of these brain structures with increased bacterial biodiversity. Microbiota profile also clustered with cognitive function. The relative abundance of Actinobacteria phylum was linked not only to magnetic resonance imaging diffusion tensor imaging variables in the thalamus, hypothalamus, and amygdala but also to cognitive test scores related to speed, attention, and cognitive flexibility. CONCLUSIONS: In sum, obesity status affects microbiota-brain microstructure and function crosstalk.
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“The gut microbiota composition, specifically the abundance of the Actinobacteria phylum, of obese and non-obese subjects was linked with the cognitive testing scores, as well as alterations in neural activity in the thalamus, hypothalamus, and amygdala”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Fernandez-Real et al., 2015
In the citing paper
“suggesting that obesity affects the microbiota composition and subsequent cognitive performance”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Fernandez-Real et al., 2015
In the citing paper
“coupled with alterations in neural activity in the thalamus, hypothalamus, and amygdala, suggesting that obesity affects the microbiota composition and subsequent cognitive performance (Fernandez-Real et al., 2015).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Fernandez-Real et al., 2015
In the citing paper
“One of these studies showed that the gut microbiota composition of obese and non-obese subjects was linked with scores in speed, attention, and cognitive flexibility in a Trail Making Test coupled with alterations in neural activity in the thalamus, hypothalamus, and amygdala, suggesting that obesity affects the microbiota composition and subsequent cognitive performance (Fernandez-Real et al., 20”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Fernandez-Real et al., 2015
In the citing paper
“In a study of non-obese and obese individuals, GM composition was found to be associated with scores of cognitive speed, attention, and flexibility, along with significant changes in neural activity in specific brain regions (thalamus, hypothalamus, and amygdala) (481).”
From Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis (2023) · cites this paper as [481]
Citations
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VALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE
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Obesity is associated with hypothalamic injury in rodents and humans.
Thaler, J. P., Yi, C.-X., Schur, E. A., Guyenet, S. J., Hwang, B. H., Dietrich, M. O., Zhao, X., Sarruf, D. A., Izgur, V., Maravilla, K. R., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59660 · Cited by 1,857
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Cited by
Sorted by citations
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Martin, C. R., Osadchiy, V., Kalani, A., & Mayer, E. A. (2018) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2018.04.003 · Cited by 1,284
The Gut–Brain Axis and the Microbiome: Mechanisms and Clinical Implications
Osadchiy, V., Martin, C. R., & Mayer, E. A. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.10.002 · Cited by 555
“The gut microbiome also has been associated with changes in brain microstructure in obesity, with distinctmicrobial brain signatures capable of differentiating obese and lean subjects.(127) A handful of studies have pointed to a dramatic change in gut microbial composition after bariatric surgery.”
BackgroundInfant gut microbiome associated with cognitive development
Carlson, A. L., Xia, K., Azcarate-Peril, M. A., Goldman, B. D., Ahn, M., Styner, M. A., Thompson, A. L., Geng, X., Gilmore, J. H., & Knickmeyer, R. C. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.06.021 · Cited by 541
“In humans, altered microbial composition of the gut has been reported in children with autism (16–18) and adults with depression (19; 20) and linked to childhood temperament (21) and adult cognition (22), but no studies have addressed when these relationships emerge or directly examined which brain regions may be invo…”
BackgroundSystematic Review of Gut Microbiota and Major Depression
Cheung, S. G., Goldenthal, A. R., Uhlemann, A.-C., Mann, J. J., Miller, J. M., & Sublette, M. E. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00034 · Cited by 597
“There is evidence that gut microbiome Frontiers in Psychiatry | www.frontiersin.org 10 February 2019 | Volume 10 | Article 34 composition is correlated with neural activity and brain structure in humans, as assessed by functional and structural MRI (118, 119).”
BackgroundInfluential
Metadata
- Authors
- Fernandez-Real, J.-M., Serino, M., Blasco, G., Puig, J., Daunis-i-Estadella, J., Ricart, W., Burcelin, R., Fernández-Aranda, F., & Portero-Otin, M.
- Affiliations
- Department of Diabetes, Endocrinology and Nutrition (J.-M.F.-R., W.R.), Institut d'Investigació Biomédica de Girona, CIBER de la Fisiopatología de la Obesidad y la Nutrición (CIBERobn, CB06/03/0010) and Instituto de Salud Carlos III, Girona, 17007 Spain
- Institut National de la Santé et de la Recherche Médicale (M.S., R.B.), Toulouse, France
- Institut d'Investigació Biomèdica de Girona (ES)
- Department of Computer Science, Applied Mathematics, and Statistics (J.D.-E.), University of Girona, Girona, 17071 Spain
- Instituto de Salud Carlos III (ES)
- Department of Psychiatry (F.F.-A.), University Hospital of Bellvitge-IDIBELL, Barcelona, CIBERobn, Instituto Salud Carlos III, Barcelona, 08908 Spain
- Nutren Group, Department of Experimental Medicine (M.P.-O.), PCiTAL-IRBLleida-Universitat de Lleida, Lleida, 25198 Spain
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2015-12-01
- Volume
- 100
- Issue
- 12
- Pages
- 4505-4513
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2188252631
- Cited by
- 167
- References
- 32
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 19 · 2023: 21 · 2022: 19 · 2021: 18 · 2020: 21 · 2019: 18 · 2018: 12 · 2017: 12 · 2016: 7
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- gut microbiota, obesity, brain microstructure, cognitive function, microbiota-brain axis, white matter integrity, gray matter, hypothalamus, hippocampus, caudate nucleus, actinobacteria, R2* relaxation, fractional anisotropy, bacterial diversity, cognitive flexibility, attention
- MeSH terms
- Adult, Aged, Attention, Body Composition, Brain, Cognition, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Obesity, Reaction Time, Actinobacteria, Biodiversity, Diffusion Tensor Imaging, Microbiota
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