Marked Response of Rat Ileal and Colonic Microbiota After the Establishment of Alzheimer’s Disease Model With Bilateral Intraventricular Injection of Aβ (1-42)
Open accessAbstract
Alzheimer’s disease (AD) is a common neurodegenerative disease. More evidence has shown that gut microbiota is closely associated with AD. Also, studies have shown that the distribution of gut microbiota vary in different sections of the intestine. In this study, a rat model of AD was established using a bilateral intraventricular injection of β-amyloid (1-42) [Aβ (1-42)], and the behavior of rats, hippocampal Aβ (1-42) deposition, and the ileal and colonic microbiota in each group were analyzed. We observed that the model rats had obvious memory and cognitive impairment, increased Aβ (1-42) deposition, indicating that the AD model was successfully established. Through 16S rRNA-sequencing analysis, we found that α diversity, β diversity, and dominant microbiota in the ileum and colon of normal rats were significantly different, showing spatial heterogeneity. Additionally, the surgery and injection of Aβ (1-42) caused various degrees of disturbances in the ileal and colonic microbiota of rats. These findings provide new insights for the study of the gut microbiota of AD rats and help advance the development of therapeutic strategies for intervening AD through the gut microbiota.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Neuropathological changes in AD brains adversely affect the gut microbiome and intestinal barrier integrity.
“recent evidence has revealed the adverse effects of neuropathological changes in AD brains on the gut microbiome and intestinal barrier integrity.”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [633]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887 · see citing works
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,617 · see citing works
UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,587 · see citing works
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192 · see citing works
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894 · see citing works
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864 · see citing works
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359 · see citing works
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913 · see citing works
Revised Estimates for the Number of Human and Bacteria Cells in the Body
Sender, R., Fuchs, S., & Milo, R. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002533 · Cited by 5,425 · see citing works
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 · see citing works
The Human Intestinal Microbiome in Health and Disease
Lynch, S. V., & Pedersen, O. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1600266 · Cited by 3,637 · see citing works
Review article: the role of butyrate on colonic function
HAMER, H. M., JONKERS, D., VENEMA, K., VANHOUTVIN, S., TROOST, F. J., & BRUMMER, R. ‐. (2008) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2007.03562.x · Cited by 2,721 · see citing works
Single-cell transcriptomic analysis of Alzheimer’s disease
Mathys, H., Davila-Velderrain, J., Peng, Z., Gao, F., Mohammadi, S., Young, J. Z., Menon, M., He, L., Abdurrob, F., Jiang, X., et al. (2019) · Nature · doi:10.1038/s41586-019-1195-2 · Cited by 2,568 · see citing works
Gut biogeography of the bacterial microbiota
Donaldson, G. P., Lee, S. M., & Mazmanian, S. K. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro3552 · Cited by 2,535 · see citing works
Wang, X., Sun, G., Feng, T., Zhang, J., Huang, X., Wang, T., Xie, Z., Chu, X., Yang, J., Wang, H., et al. (2019) · Cell Research · doi:10.1038/s41422-019-0216-x · Cited by 1,144 · see citing works
Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota
Harach, T., Marungruang, N., Duthilleul, N., Cheatham, V., Mc Coy, K. D., Frisoni, G., Neher, J. J., Fåk, F., Jucker, M., Lasser, T., et al. (2017) · Scientific Reports · doi:10.1038/srep41802 · Cited by 901 · see citing works
Brain-Gut-Microbiota Axis in Alzheimer’s Disease
Kowalski, K., & Mulak, A. (2019) · Journal of Neurogastroenterology and Motility · doi:10.5056/jnm18087 · Cited by 826 · see citing works
Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegeneration
Dinan, T. G., & Cryan, J. F. (2017) · The Journal of Physiology · doi:10.1113/jp273106 · Cited by 813 · see citing works
Tau and neurodegenerative disease: the story so far
Iqbal, K., Liu, F., & Gong, C.-X. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.225 · Cited by 806 · see citing works
Microbiome-wide association studies link dynamic microbial consortia to disease
Gilbert, J. A., Quinn, R. A., Debelius, J. W., Xu, Z. Z., Morton, J. T., Garg, N., Jansson, J. K., Dorrestein, P. C., & Knight, R. D. (2016) · Nature · doi:10.1038/nature18850 · Cited by 714 · see citing works
Tau PTM Profiles Identify Patient Heterogeneity and Stages of Alzheimer’s Disease
Wesseling, H., Mair, W., Kumar, M., Schlaffner, C. N., Tang, S., Beerepoot, P., Fatou, B., Guise, A. J., Cheng, L., Takeda, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.029 · Cited by 688 · see citing works
The gut microbiome: connecting spatial organization to function
Tropini, C., Earle, K. A., Huang, K. C., & Sonnenburg, J. L. (2017) · Cell Host & Microbe · doi:10.1016/j.chom.2017.03.010 · Cited by 685 · see citing works
Minter, M. R., Zhang, C., Leone, V., Ringus, D. L., Zhang, X., Oyler-Castrillo, P., Musch, M. W., Liao, F., Ward, J. F., Holtzman, D. M., et al. (2016) · Scientific Reports · doi:10.1038/srep30028 · Cited by 655 · see citing works
Kim, M.-S., Kim, Y., Choi, H., Kim, W., Park, S., Lee, D., Kim, D. K., Kim, H. J., Choi, H., Hyun, D.-W., et al. (2020) · Gut · doi:10.1136/gutjnl-2018-317431 · Cited by 614 · see citing works
Morris Water Maze Test for Learning and Memory Deficits in Alzheimer's Disease Model Mice
Bromley‐Brits, K., Deng, Y., & Song, W. (2011) · Journal of Visualized Experiments · doi:10.3791/2920 · Cited by 584 · see citing works
Krabbe, G., Halle, A., Matyash, V., Rinnenthal, J. L., Eom, G. D., Bernhardt, U., Miller, K. R., Prokop, S., Kettenmann, H., & Heppner, F. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060921 · Cited by 478 · see citing works
Regional Diversity of the Gastrointestinal Microbiome
Martinez, K., Leone, V., & Chang, E. B. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.08.011 · Cited by 468 · see citing works
Host–Bacterial Symbiosis in Health and Disease
Chow, J., Lee, S. M., Shen, Y. L., Khosravi, A., & Mazmanian, S. K. (2010) · Advances in immunology · doi:10.1016/b978-0-12-381300-8.00008-3 · Cited by 467 · see citing works
Zhao, W., Wang, Y., Liu, S., Huang, J., Zhai, Z., He, C., Ding, J., Wang, J., Wang, H., Fan, W., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117441 · Cited by 403 · see citing works
Looft, T. P., Allen, H. K., Cantarel, B. L., Levine, U. Y., Bayles, D. O., Alt, D. P., Henrissat, B., & Stanton, T. B. (2014) · The ISME Journal · doi:10.1038/ismej.2014.12 · Cited by 374 · see citing works
Gut microbiota in neurodegenerative disorders
Sarkar, S. R., & Banerjee, S. (2019) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2019.01.004 · Cited by 319 · see citing works
Sierra-Filardi, E., Puig-Kröger, A., Blanco, F. J., Nieto, C., Bragado, R., Palomero, M. I., Bernabéu, C., Vega, M. A., & Corbí, A. L. (2011) · Blood · doi:10.1182/blood-2010-09-306993 · Cited by 268 · see citing works
Earley, Z. M., Akhtar, S., Green, S. J., Naqib, A. D., Khan, O. M., Cannon, A. R., Hammer, A. M., Morris, N. L., Li, X., Eberhardt, J. M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129996 · Cited by 264 · see citing works
Jing, Y., Yu, Y., Bai, F., Wang, L., Yang, D., Zhang, C., Qin, C., Yang, M., Zhang, D., Zhu, Y., et al. (2021) · Microbiome · doi:10.1186/s40168-021-01007-y · Cited by 225 · see citing works
Goyal, D., Ali, S. A., & Singh, R. K. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110112 · Cited by 205 · see citing works
Sundman, M., Chen, N., Subbian, V., & Chou, Y. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2017.05.009 · Cited by 200 · see citing works
Mondot, S., Lepage, P., Seksik, P., Allez, M., Tréton, X., Bouhnik, Y., Colombel, J., Leclerc, M., Pochart, P., Dore, J. M., et al. (2015) · Gut · doi:10.1136/gutjnl-2015-309184 · Cited by 163 · see citing works
Hu, S., Wang, J., Xu, Y., Yang, H., Wang, J., Xue, C., Yan, X., & Su, L. (2019) · Food & Function · doi:10.1039/c8fo02364f · Cited by 149 · see citing works
Choi, J., Kim, G. B., & Cha, C. J. (2014) · Poultry Science · doi:10.3382/ps.2014-03974 · Cited by 143 · see citing works
Bhattarai, Y., Si, J., Pu, M., Ross, O. A., McLean, P. J., Till, L., Moor, W., Grover, M., Kandimalla, K. K., Margolis, K. G., et al. (2021) · Gut Microbes · doi:10.1080/19490976.2020.1866974 · Cited by 126 · see citing works
Li, N., Zuo, B., Huang, S., Zeng, B., Han, D., Li, T., Liu, T., Wu, Z., Wei, H., Zhao, J., et al. (2020) · Microbiome · doi:10.1186/s40168-020-00917-7 · Cited by 120 · see citing works
Sun, M., Ma, K., Wen, J., Wang, G., Zhang, C., Li, Q., Bao, X., & Wang, H. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-190872 · Cited by 113 · see citing works
Christensen, R., Marcussen, A. B., Wörtwein, G., Knudsen, G. M., & Aznar, S. (2007) · Experimental Neurology · doi:10.1016/j.expneurol.2007.10.009 · Cited by 109 · see citing works
Using the spatial learning index to evaluate performance on the water maze.
Pereira, I. T., & Burwell, R. D. (2015) · Behavioral Neuroscience · doi:10.1037/bne0000078 · Cited by 96 · see citing works
Delayed behavioral effects following intrahippocampal injection of aggregated Aβ(1–42)
O‘Hare, E., Weldon, D. T., Mantyh, P. W., Ghilardi, J. R., Finke, M. P., Kuskowski, M., Maggio, J. E., Shephard, R. A., & Cleary, J. P. (1999) · Brain Research · doi:10.1016/s0006-8993(98)01002-6 · Cited by 72 · see citing works
Xu, M., Yan, T., Fan, K., Wang, M., Yu, Q., Xiao, F., Bi, K., & Jia, Y. (2019) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2019.02.046 · Cited by 70 · see citing works
Feighery, L. M., Smyth, A., Keely, S., Baird, A. W., O'Connor, W. T., Callanan, J. J., & Brayden, D. J. (2008) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e3181568d9f · Cited by 67 · see citing works
Luminal microbiota related to Crohn’s disease recurrence after surgery
Hamilton, A. L., Kamm, M. A., Cruz, P. P. D., Wright, E. K., Feng, H., Wagner, J., Sung, J. J. �., Kirkwood, C. D., Inouye, M., & Teo, S. M. (2020) · Gut Microbes · doi:10.1080/19490976.2020.1778262 · Cited by 41 · see citing works
LPYFDa Neutralizes Amyloid-β-Induced Memory Impairment and Toxicity
Granic, I., Masman, M. F., Mulder, C. K., Nijholt, I. M., Naudé, P., de Haan, A., Borbély, E., Penke, B., Luiten, P. G. M., & Eisel, U. L. M. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1297 · Cited by 37 · see citing works
The association of traumatic brain injury, gut microbiota and the corresponding metabolites in mice
Wang, S., Zhu, K., Hou, X., & Hou, L. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147450 · Cited by 27 · see citing works
Wang, W., Li, Y., Wu, Q., Pan, X., He, X., & Ma, X. (2020) · BMC Microbiology · doi:10.1186/s12866-020-01779-7 · Cited by 25 · see citing works
Gitter, B. D., Boggs, L. N., May, P. C., Czilli, D. L., & Carlson, C. D. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb05379.x · Cited by 21 · see citing works
Yang, B., Tan, J., Liu, Y., Liu, B., Jin, S., Guo, H., & Kuang, H. (2017) · Biomedical Chromatography · doi:10.1002/bmc.4037 · Cited by 18 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193 · see citing works
Qian, X.-H., Liu, X.-L., Chen, G., Chen, S.-D., & Tang, H.-D. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02599-4 · Cited by 56 · see citing works
Intestinal Microflora Changes in Patients with Mild Alzheimer’s Disease in a Chinese Cohort
Wang, Y., Li, L., Zhao, X., Sui, S., Wang, Q., Shi, G., Xu, H.-L., Zhang, X., He, Y., & Gu, J. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220076 · Cited by 31 · see citing works
Self-citationDysbiosis and Alzheimer’s disease: role of probiotics, prebiotics and synbiotics
Thakkar, A., Vora, A., Kaur, G., & Akhtar, J. (2023) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-023-02554-x · Cited by 27 · see citing works
Wen, L., Xiong, W., Wei, G., Zhang, L., Liu, Y., Zhang, T., Altamirano, A. M., Yin, Q., Zhang, T., & Yan, Z. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231911154 · Cited by 10 · see citing works
Self-citationXie, Q., Xie, S., Lin, L., Xie, Y., Xiao, Y., Chi, J., Lin, X., & Huang, G. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c01444 · Cited by 8 · see citing works
Yan, L., Li, H., Qian, Y., Liu, Q., Cong, S., Dou, B., Wang, Y., Wang, M., & Yu, T. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1334735 · Cited by 8 · see citing works
Jiang, R., Li, L., Wang, B., Liu, L., Liu, L., Xian, X., & Li, W. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04037-3 · Cited by 4 · see citing works
Yan, J., Tang, Z., Luo, Y., Liu, B., Huang, X., Wei, J., & Yue, F. (2026) · Advanced Science · doi:10.1002/advs.202516837 · Cited by 2 · see citing works
Qian, X., Liu, X.-L., Chen, G., Chen, S.-D., & Tang, H.-D. (2022) · Figshare · doi:10.6084/m9.figshare.21228669
Agavriloaei, L. M., Costăchescu, I., Szilagyi, A., Gogu, M.-R., Iliescu, B. F., & Turliuc, M. D. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261443555
- Authors
- Xu, Q., Wen, L., Wei, G., Zhao, X., Liu, Y., Xiong, W., Zhang, T., Fan, Y., Chen, C., Xiang, C., Chen, C., Chen, Y., Yin, Q., Zhang, T.-E., & Yan, Z.
- Affiliations
- Southwest Jiaotong University (CN)
- China Academy of Chinese Medical Sciences (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
- Corresponding author
- Zhang, Tian-e
- Yan, Zhiyong
- ORCID
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2022-02-11
- Volume
- 13
- Pages
- 819523-819523
- ISSN
- 1664-302X (ISSN-L)
- PMC
- PMC8874218
- OpenAlex
- W4211063536
- Cited by
- 11
- References
- 53
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 4
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Microbiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Fundamental Research Funds for the Central Universities
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, gut microbiota, ileal microbiota, colonic microbiota, amyloid-beta 42, intraventricular injection, rat model, cognitive impairment, memory impairment, microbiome diversity
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