Early changes of fecal short‐chain fatty acid levels in patients with mild cognitive impairments
Open accessAbstract
Aims: To compare the fecal levels of short‐chain fatty acids (SCFAs) in patients with mild cognitive impairment (MCI) and normal controls (NCs) and to examine whether fecal SCFAs could be used as the biomarker for the identification of patients with MCI. To examine the relationship between fecal SCFAs and amyloid‐β (Aβ) deposition in the brain. Methods: A cohort of 32 MCI patients, 23 Parkinson's disease (PD) patients, and 27 NC were recruited in our study. Fecal levels of SCFAs were measured using chromatography and mass spectrometry. Disease duration, ApoE genotype, body mass index, constipation, and diabetes were evaluated. To assess cognitive impairment, we used the Mini‐Mental Status Examination (MMSE). To assess brain atrophy, the degree of medial temporal atrophy (MTA score, Grade 0–4) was measured by structural MRI. Aβ positron emission tomography with 18 F‐florbetapir (FBP) was performed in seven MCI patients at the time of stool sampling and in 28 MCI patients at an average of 12.3 ± 0.4 months from the time of stool sampling to detect and quantify Aβ deposition in the brain. Results: Compared with NC, MCI patients had significantly lower fecal levels of acetic acid, butyric acid, and caproic acid. Among fecal SCFAs, acetic acid performed the best in discriminating MCI from NC, achieved an AUC of 0.752 ( p = 0.001, 95% CI: 0.628–0.876), specificity of 66.7%, and sensitivity of 75%. By combining fecal levels of acetic acid, butyric acid, and caproic acid, the diagnostic specificity was significantly improved, reaching 88.9%. To better verify the diagnostic performance of SCFAs, we randomly assigned 60% of participants into training dataset and 40% into testing dataset. Only acetic acid showed significantly difference between these two groups in the training dataset. Based on the fecal levels of acetic acid, we achieved the ROC curve. Next, the ROC curve was evaluated in the independent test data and 61.5% (8 in 13) of patients with MCI, and 72.7% (8 in 11) of NC could be identified correctly. Subgroup analysis showed that reduced fecal SCFAs in MCI group were negatively associated with Aβ deposition in cognition‐related brain regions. Conclusion: Reductions in fecal SCFAs were observed in patients with MCI compared with NC. Reduced fecal SCFAs were negatively associated with Aβ deposition in cognition‐related brain regions in MCI group. Our findings suggest that gut metabolite SCFAs have the potential to serve as early diagnostic biomarkers for distinguishing patients with MCI from NC and could serve as potential targets for preventing AD.
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?
Reduced SCFA-producing species and SCFA levels are reported in individuals with mild cognitive impairment and AD patients.
“Several studies have reported reduced SCFAs-producing species and SCFA levels in individuals with mild cognitive impairment (MCI) and AD patients.292–295”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [293]
Reduced fecal levels of SCFAs are negatively associated with Aβ deposition in patients with MCI.
“Notably, reduced fecal levels of SCFAs were negatively associated with Aβ deposition in patients with MCI.293”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [293]
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
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · see citing works
MDS clinical diagnostic criteria for Parkinson’s disease
Postuma, R. B., Berg, D., Stern, M., Poewe, W., Olanow, C. W., Oertel, W., Obeso, J., Marek, K., Litvan, I., Lang, A. E., et al. (2015) · Movement Disorders · doi:10.1002/mds.26424 · Cited by 7,653 · see citing works
Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson's disease
Sampson, T. R., Debelius, J. W., Thron, T., Janssen, S., Shastri, G. G., Ilhan, Z. E., Challis, C., Schretter, C. E., Rocha, S., Gradinaru, V., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.018 · Cited by 3,622 · see citing works
The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication
Silva, Y. P., Bernardi, A., & Frozza, R. L. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00025 · Cited by 3,043 · cited 1× · see citing works
“10,30 11 , 31 Emerging evidence has shown that SCFAs An important finding of this study was that reduced levels of SCFAs in the MCI group were negatively associated with the A β deposition in the brain.”
BackgroundThe role of short chain fatty acids in health and disease
Tan, J., McKenzie, C., Potamitis, M., Thorburn, A. N., Mackay, C. R., & Macia, L. (2014) · Advances in immunology · doi:10.1016/b978-0-12-800100-4.00003-9 · Cited by 2,425 · see citing works
2022 Alzheimer's disease facts and figures
Anonymous (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12638 · Cited by 2,384 · see citing works
The short-chain fatty acid acetate reduces appetite via a central homeostatic mechanism
Frost, G., Sleeth, M. L., Sahuri-Arisoylu, M., Lizarbe, B., Cerdan, S., Brody, L., Anastasovska, J., Ghourab, S., Hankir, M., Zhang, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms4611 · Cited by 1,771 · see citing works
The Angular Gyrus: Multiple Functions and Multiple Subdivisions
Seghier, M. L. (2013) · The Neuroscientist · doi:10.1177/1073858412440596 · Cited by 1,585 · see citing works
Yuan, M., Breitkopf, S. B., Yang, X., & Asara, J. M. (2012) · Nature Protocols · doi:10.1038/nprot.2012.024 · Cited by 1,122 · see citing works
Blood-based biomarkers for Alzheimer's disease: towards clinical implementation
Teunissen, C. E., Verberk, I. M. W., Thijssen, E. H., Vermunt, L., Hansson, O., Zetterberg, H., van der Flier, W. M., Mielke, M. M., & del Campo, M. (2022) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00361-6 · Cited by 1,045 · see citing works
Katzman, R., Zhang, M., Ouang-Ya-Qu, Wang, Z., Liu, W. T., Yu, E., Wong, S.-C., Salmon, D. P., & Grant, I. (1988) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(88)90034-0 · Cited by 1,040 · see citing works
Classification and basic pathology of Alzheimer disease
Duyckaerts, C., Delatour, B., & Potier, M.-C. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0532-1 · Cited by 1,031 · 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
Mild cognitive impairment has similar alterations as Alzheimer's disease in gut microbiota
Li, B., He, Y., Ma, J., Huang, P., Du, J., Cao, L. H., Wang, Y., Xiao, Q., Tang, H., & Chen, S. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.07.002 · Cited by 480 · see citing works
Self-citationErny, D., Dokalis, N., Mezö, C., Castoldi, A., Mossad, O., Staszewski, O., Frosch, M., Villa, M., Fuchs, V., Mayer, A., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.10.010 · Cited by 478 · see citing works
Altered gut microbiota and inflammatory cytokine responses in patients with Parkinson's disease
Lin, C.-H., Chen, C.-C., Chiang, H.-L., Liou, J.-M., Chang, C.-M., Lu, T.-P., Chuang, E. Y., Tai, Y.-C., Cheng, C., Lin, H.-Y., et al. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1528-y · Cited by 469 · see citing works
Govindarajan, N., Agis-Balboa, R. C., Walter, J., Sananbenesi, F., & Fischer, A. (2011) · Journal of Alzheimer's Disease · doi:10.3233/jad-2011-110080 · Cited by 405 · see citing works
Ho, L., Ono, K., Tsuji, M., Mazzola, P., Singh, R., & Pasinetti, G. M. (2018) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2018.1400909 · Cited by 376 · see citing works
Microbiota-derived short chain fatty acids modulate microglia and promote Aβ plaque deposition
Colombo, A. V., Sadler, R. K., Llovera, G., Singh, V., Roth, S., Heindl, S., Sebastian Monasor, L., Verhoeven, A., Peters, F., Parhizkar, S., et al. (2021) · eLife · doi:10.7554/elife.59826 · Cited by 354 · see citing works
Neuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289 · cited 1× · see citing works
“22– 26 In fact, stool is more accessible and noninvasive sample source compared with above samples.”
BackgroundChen, S.-J., Chen, C.-C., Liao, H.-Y., Lin, Y.-T., Wu, Y.-W., Liou, J.-M., Wu, M.-S., Kuo, C.-H., & Lin, C.-H. (2022) · Neurology · doi:10.1212/wnl.0000000000013225 · Cited by 269 · see citing works
Self-citationAdvances in the development of new biomarkers for Alzheimer’s disease
Klyucherev, T. O., Olszewski, P., Shalimova, A. A., Chubarev, V. N., Tarasov, V. V., Attwood, M. M., Syvänen, S., & Schiöth, H. B. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00296-z · Cited by 241 · see citing works
Alexander, C., Swanson, K. S., Fahey, G. C., Jr., & Garleb, K. A. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz004 · Cited by 212 · see citing works
Mechanisms of Short-Chain Fatty Acids Derived from Gut Microbiota in Alzheimer's Disease
Qian, X., Xie, R.-Y., Liu, X., Chen, S., & Tang, H. (2022) · Aging and Disease · doi:10.14336/ad.2021.1215 · Cited by 212 · see citing works
Self-citationLiu, J., Li, H., Gong, T., Chen, W., Mao, S., Kong, Y., Yu, J., & Sun, J. (2020) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.0c02807 · Cited by 199 · see citing works
Gut microbiome, cognitive function and brain structure: a multi-omics integration analysis
Liang, X., Fu, Y., Cao, W., Wang, Z., Zhang, K., Jiang, Z., Jia, X., Liu, C., Lin, H.-R., Zhong, H., et al. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00323-z · Cited by 188 · see citing works
Self-citationLevey, A. I., Lah, J. J., Goldstein, F. C., Steenland, K., & Bliwise, D. L. (2006) · Clinical Therapeutics · doi:10.1016/j.clinthera.2006.07.006 · Cited by 180 · see citing works
Cerebrospinal Fluid Biomarkers for Alzheimer's Disease
Blennow, K., & Zetterberg, H. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-1177 · Cited by 180 · see citing works
Fernando, W. M. A. D. B., Martins, I. J., Morici, M., Bharadwaj, P., Rainey-Smith, S. R., Lim, W. L. F., & Martins, R. N. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-190120 · Cited by 164 · see citing works
Zivelin, A., Rosenberg, N., Peretz, H., Fromovich-Amit, Y., Kornbrot, N., & Seligsohn, U. (1997) · Clinical Chemistry · doi:10.1093/clinchem/43.9.1657 · Cited by 157 · see citing works
Mild cognitive impairment. When is it a precursor to Alzheimer's disease?
Shah, Y., Eg, T., & Rc, P. (2000) · PubMed · Cited by 125 · see citing works
Xi, J., Ding, D., Zhu, H., Wang, R., Su, F., Wu, W., Xiao, Z., Liang, X., Zhao, Q., Hong, Z., et al. (2021) · BMC Microbiology · doi:10.1186/s12866-021-02286-z · Cited by 103 · see citing works
Acetate transport and utilization in the rat brain
Deelchand, D. K., Shestov, A. A., Koski, D. M., Uǧurbil, K., & Henry, P. (2009) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2009.05895.x · Cited by 102 · see citing works
Yang, X., Ai, P., He, X., Mo, C., Zhang, Y., Xu, S., Lai, Y., Qian, Y., & Xiao, Q. (2022) · Movement Disorders · doi:10.1002/mds.29063 · Cited by 82 · see citing works
Mild cognitive impairment1 : prevalence and predictive validity according to current approaches
Busse, A., Bischkopf, J., Riedel-Heller, S. G., & Angermeyer, M. C. (2003) · Acta Neurologica Scandinavica · doi:10.1034/j.1600-0404.2003.00118.x · Cited by 81 · see citing works
Wu, B.-S., Zhang, Y.-R., Li, H.-Q., Kuo, K., Chen, S.-D., Dong, Q., Liu, Y., & Yu, J.-T. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01599-x · Cited by 69 · see citing works
Self-citationWorking Memory Deficits After Lesions Involving the Supplementary Motor Area
Cañas, A., Juncadella, M., Lau, R., Gabarrós, A., & Hernández, M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00765 · Cited by 68 · see citing works
Cao, T., Zhou, X., Zheng, X., Cui, Y., Tsien, J. Z., Li, C., & Wang, H. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00137 · Cited by 61 · see citing works
Evidence of Altered Corticomotor System Connectivity in Early-Stage Alzheimer's Disease
Vidoni, E. D., Thomas, G., Honea, R. A., Loskutova, N., & Burns, J. M. (2012) · Neurology Report · doi:10.1097/npt.0b013e3182462ea6 · Cited by 57 · see citing works
A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives
Li, L., Yu, X., Sheng, C., Jiang, X., Zhang, Q., Han, Y., & Jiang, J. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00315-z · Cited by 40 · see citing works
Frontal lobe dysfunctions in subjects with mild cognitive impairment
Hanyu, H., Sato, T., Takasaki, A., Akai, T., & Iwamoto, T. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5151-1 · Cited by 13 · see citing works
Flagged first, then by citations
1 of the 43 references couldn’t be matched to a known paper.
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
Chen, C., Wang, G., Li, D., & Zhang, F. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00307-1 · Cited by 119 · see citing works
Yang, J., Liang, J., Hu, N., He, N., Liu, B., Liu, G., & Qin, Y. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70091 · Cited by 100 · see citing works
Zhao, Y., Jia, M., Ding, C., Bao, B., Li, H., Ma, J., Dong, W., Gao, R., Chen, X., Chen, J., et al. (2025) · iMeta · doi:10.1002/imt2.70006 · Cited by 57 · see citing works
Lee, B., Lee, S. M., Song, J. W., & Choi, J. W. (2024) · Biomolecules & Therapeutics · doi:10.4062/biomolther.2024.009 · Cited by 48 · see citing works
The Gut Microbiome-Neuroglia Axis: Implications for Brain Health, Inflammation, and Disease
Camberos-Barraza, J., Guadrón‐Llanos, A. M., & la Herrán-Arita, A. K. D. (2024) · Neuroglia · doi:10.3390/neuroglia5030018 · Cited by 34 · see citing works
Junyi, L., Yueyang, W., Liu, B., Xiaohong, D., Wenhui, C., Zhang, N., & Zhang, H. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04513-w · Cited by 31 · see citing works
Microbiota and Resveratrol: How Are They Linked to Osteoporosis?
Meyer, C., Brockmueller, A., de Porras, V. R., & Shakibaei, M. (2024) · Cells · doi:10.3390/cells13131145 · Cited by 21 · see citing works
Microbiota-Gut-Brain Axis in Age-Related Neurodegenerative Diseases
Nie, T., Li, Y., Tang, F., Duan, Y., Nepovimová, E., Kuča, K., Wu, Q., & Wei, W. (2024) · Current Neuropharmacology · doi:10.2174/1570159x23666241101093436 · Cited by 19 · see citing works
Role of short chain fatty acids on astrocytes and microglia in Alzheimer's disease brain
Wtpsk, S., Burton, M., Fernando, W. M. K. T., Jayasena, V., Brennan, C. S., & Fernando, W. M. A. D. B. (2024) · International Journal of Food Science & Technology · doi:10.1111/ijfs.17380 · Cited by 17 · see citing works
Long, J., Zhang, J., Zeng, X., Wang, M., & Wang, N. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70101 · Cited by 17 · see citing works
Butyrate: a key mediator of gut-brain communication in Alzheimer’s disease
Kachoueiyan, F., Kalkhoran, N. Y., Kalkhoran, A. Y., Kyada, A., Rekha, M. M., Chaudhary, K., Barwal, A., Sead, F. F., & Joshi, K. K. (2025) · Metabolic Brain Disease · doi:10.1007/s11011-025-01617-7 · Cited by 17 · see citing works
Alshammari, F. F., Al-Kuraishy, H. M., Shokr, M. M., Papadakis, M., Alexiou, A. T., & Batiha, G. E. (2025) · Inflammopharmacology · doi:10.1007/s10787-025-01940-6 · Cited by 14 · see citing works
Guo, M., Gao, H., Wang, Y., & Xiang, Y. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1574512 · Cited by 13 · see citing works
The Gut-Brain Axis in Alzheimer’s and Parkinson’s Diseases: The Catalytic Role of Mitochondria
Candeias, E., Pereira-Santos, A. R., Empadinhas, N., Cardoso, S. M., & Esteves, A. R. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240524 · Cited by 16 · see citing works
Chen, X., Wei, J., Zhang, L., Wang, H., Zhang, Y., Li, Z., Wang, X., Liu, L., Zhang, T., & Zhang, T. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02477-x · Cited by 13 · see citing works
APOE4 genotype shapes the role of dietary fibers in cognitive health through gut microbiota changes
Liaquat, M., Gall, G. L., Scholey, A. B., Pontifex, M. G., Bastiaanssen, T. F. S., Müller, M. M., Minihane, A. M., & Vauzour, D. (2025) · Gut Microbes · doi:10.1080/19490976.2025.2526133 · Cited by 12 · see citing works
Tang, M., Zhao, L., Huang, F., Wang, T., Wu, X., Chen, S., Fu, J., Jiang, C., Wei, S., Zeng, X., et al. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1495695 · Cited by 8 · see citing works
Self-citationJiang, P., Di, Z.-H., Huang, W., & Xie, L. (2024) · Molecules · doi:10.3390/molecules29122747 · Cited by 8 · see citing works
Zahedi, E., Naseri, F. M., Zamani, E., Nikbakhtzadeh, M., Rastegar, T., Sanaeirad, A., & Sadr, S. S. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04583-w · Cited by 7 · see citing works
Ichikawa, A., Takayama, T., Kojima, C., Fujie, S. J., Iemitsu, M., & Inoue, K. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.4c05872 · Cited by 6 · see citing works
Remember the gut: The emerging role of microbial SCFAs in cognitive health
de Paiva, I. H. R., Duarte-Silva, E. P., & Peixoto, C. A. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.107838 · Cited by 7 · see citing works
Mihailovich, M., Bajić, S. S., Dinić, M., Đokić, J., Živković, M., Radojević, D., & Golić, N. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251810156 · Cited by 6 · see citing works
Giangiulio, O., & Maccarone, R. (2025) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.70703 · Cited by 5 · see citing works
Barrera-Conde, M., Korchevaya, E., Kossatz, E., Veza-Estévez, E., Pujadas, M., Alechaga, É., Nebot, P., Pozo, Ó. J., de la Torre, R., Pizarro, N., et al. (2025) · Gut Microbes · doi:10.1080/19490976.2025.2551104 · Cited by 5 · see citing works
Heart Failure and Cognitive Impairment Through the Lens of the Gut Microbiome: A Narrative Review
Rahmani, A. R., Madani, S. A., Aminov, E., Gogokhia, L., Bench, T. J., & Kalogeropoulos, A. P. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15120595 · Cited by 4 · see citing works
Song, X., Lin, T., Haiyan, Z., Shiyue, Z., Qi, Q., Qiangqiang, X., Mingzhi, Z., & Liu, L. (2025) · Neurological Research · doi:10.1080/01616412.2025.2520019 · Cited by 4 · see citing works
Feng, W., Ju, M., Wang, T., Cui, S., Yang, K., Guo, Z., Liu, M., Tao, J., Yu, H., & Xiao, R. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01743-5 · Cited by 3 · see citing works
The role of microbiota modulation in preventing Alzheimer’s disease- a review
Strzępa, A., & Szczepanik, M. (2025) · Pharmacological Reports · doi:10.1007/s43440-025-00796-5 · Cited by 3 · see citing works
The gut microbiota-brain axis in Alzheimer’s disease model mice
Li, N., Peng, X., Xiong, W., Chen, C., & Wang, W. (2025) · Physiology & Behavior · doi:10.1016/j.physbeh.2025.115178 · Cited by 4 · see citing works
Zhao, X., Xue, C., Wang, Y., Liu, X., Li, R., & Yi, X. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1595742 · Cited by 3 · see citing works
Liu, Y., Zhang, X., Yu, T., Liu, Y., Kang, H., Jiang, Z., Huang, Y., Cai, Z. M., Zhang, Y., Li, C., et al. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05412-4 · Cited by 3 · see citing works
Zheng, J., An, Y., Zhang, X., Cao, Z., Xu, G., Li, J., Wang, J., Chen, L., & Lu, Y. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70656 · Cited by 2 · see citing works
Rivera, D. S., Beltrán, V., Hoepfner, C., Fernández, M. D. P., Oliva, C. A., Vera, M. J., Farías, C., Valenzuela, R., Pérez, I., Correa, L. A., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-26991-1 · Cited by 1 · see citing works
Singh, V. K., Gupta, P., Jain, S. K., & Matreja, P. S. (2026) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2026.2673084 · Cited by 1 · see citing works
Amruthavarshini, S. N., Kumari, N., & Anand, S. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06015-3 · Cited by 1 · see citing works
Galizzi, G. (2026) · Marine Drugs · doi:10.3390/md24070224 · Cited by 1 · see citing works
Ling, Z., Xu, X., Cheng, Y., Liu, X., Ding, W., Zhu, Z., Wu, L., Chen, Y., Hu, P., & Xia, L. (2026) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2026.08.023 · Cited by 1 · see citing works
Zhao, X., Xue, C., Wang, Y., Liu, X., Li, R., & Yi, X. (2024) · Research Square · doi:10.21203/rs.3.rs-5386295/v1
Zhang, F., Guo, L., Liu, L., & Han, X. (2025) · Parkinson s Disease · doi:10.1155/padi/2079341
Zavala-Ocampo, L. M., Mendoza-Franco, G., Aparicio‐Bautista, D. I., López-Camacho, P. Y., García‐Sierra, F., & Basurto‐Islas, G. (2026) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2026.121381
Restoration of gut health by Lactobacillus casei alleviates Alzheimer’s like pathology
Sahoo, S., Dubey, D., Purohit, G. K., Sahu, P. K., Kar, D. M., & Prusty, S. K. (2026) · Nutrire · doi:10.1186/s41110-026-00422-1
Sahoo, S., Dewangan, S., Dubey, D., Sahu, P. K., Kar, D. M., Sahoo, J., Tiwle, R., & Prusty, S. K. (2026) · Research Journal of Pharmacy and Technology · doi:10.52711/0974-360x.2026.00122
Circadian rhythm, metabolic stress, and Alzheimer’s disease
Saini, V., Singh, S., Kumar, R., Shahadab, M., & Jha, H. C. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.05.004
Ye, X., Jing, X., Li, Z., Jia, L., Zhong, F., & Luo, X.-G. (2026) · Microbiological Research · doi:10.1016/j.micres.2026.128587
Kumar, N., & Yarlagadda, V. (2026) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.6c00255
Diabetes‐Associated Cognitive Impairment: Pathophysiology and Emerging Therapies
Corbali, O., Menon, P., Corbali, H. I., Jagannathan, R., & Levey, A. I. (2026) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70487
Huang, X., Zhang, X., & Qi, Z. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1828118
- Authors
- Gao, C., Li, B., He, Y., Huang, P., Du, J., He, G., Zhang, P., Tang, H., & Chen, S.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Tang, Huidong
- Chen, Shengdi
- Venue
- CNS Neuroscience & Therapeutics
- Publisher
- Wiley
- Published
- 2023-05-05
- Volume
- 29
- Issue
- 11
- Pages
- 3657-3666
- ISSN
- 1755-5930 (ISSN-L)
- 1755-5949
- PMC
- PMC10580335
- OpenAlex
- W4372334325
- Cited by
- 50
- References
- 43
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 16 · 2023: 1
- FWCI
- 10.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- CNS Neuroscience & Therapeutics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- mild cognitive impairment, fecal short-chain fatty acids, acetic acid, butyrate, hexanoic acid, biomarkers, amyloid-beta deposition, Parkinson's disease, medial temporal lobe atrophy, diagnostic accuracy, gut-brain axis, Alzheimer's disease risk, APOE genotype, 18F-florbetapir PET, brain atrophy, constipation, diabetes mellitus
- MeSH terms
- Acetates, Alzheimer Disease, Atrophy, Caproates, Fatty Acids, Volatile, Humans, Amyloid beta-Peptides, Butyric Acid, Positron-Emission Tomography, Cognitive Dysfunction
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