{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T19:18:15Z","timestamp":1774466295929,"version":"3.50.1"},"reference-count":89,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T00:00:00Z","timestamp":1746144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T00:00:00Z","timestamp":1746144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["CRSK-3_195607"],"award-info":[{"award-number":["CRSK-3_195607"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"publisher","award":["Ministero della Salute"],"award-info":[{"award-number":["Ministero della Salute"]}],"id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur J Nucl Med Mol Imaging"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Purpose<\/jats:title>\n            <jats:p>Some Alzheimer\u2019s disease (AD) patients report gastro-intestinal symptoms and present alterations in the gut microbiota (GM) composition. Elevated colonic amyloid immunoreactivity has been shown in patients and animal models. We evaluated the colonic uptake of the amyloid positron emission tomography (PET) imaging agent [18F]flutemetamol (FMM) in a memory clinic population and investigated its association with brain amyloidosis and GM composition.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>Forty-five participants underwent (i) abdominal and cerebral FMM PET, acquired at 40 (early phase) and 120\u00a0min (late phase) after tracer injection, (ii) abdominal computed tomography, and (iii) cerebral T1-weighted MRI. Colonic standardized uptake value ratio (SUVr) was determined through manual tracing and automatic segmentation (TotalSegmentator), using the aortic blood signal as a reference region. Fecal GM composition was assessed using 16\u00a0S rRNA sequencing. Amyloid positive (A+) and negative (A-) participants, based on cortical FMM quantification (PetSurfer), were compared in terms of SUVr and GM features.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Increased colonic early SUVr was reported in A+\u2009than A- (manual, <jats:italic>p<\/jats:italic>\u2009=.008; automated, <jats:italic>p<\/jats:italic>\u2009=.035). Altered GM composition was found in A\u2009+\u2009as shown by lower Pielou\u2019s evenness (<jats:italic>p<\/jats:italic>\u2009=.023), lower abundance of <jats:italic>Eubacterium hallii group<\/jats:italic>, and higher abundance of several genera. High <jats:italic>UC5-1-2E3<\/jats:italic> abundance positively correlated with high colonic early SUVr (whole group: manual, <jats:italic>p<\/jats:italic>\u2009=.012, automated, <jats:italic>p<\/jats:italic>\u2009=.082; A+: manual, <jats:italic>p<\/jats:italic>\u2009=.074; automated, <jats:italic>p<\/jats:italic>\u2009=.016).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>This exploratory study showed that subjects with cerebral amyloidosis have greater colonic FMM uptake than subjects with normal cerebral amyloid load, correlating with altered GM composition. Further analysis is needed to determine if these changes denote amyloid-related changes or other phenomena.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00259-025-07299-8","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T09:28:19Z","timestamp":1746178099000},"page":"4591-4603","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["[18F]flutemetamol uptake in the colon of a memory clinic population and its association with brain amyloidosis and the gut microbiota profile: an exploratory study"],"prefix":"10.1007","volume":"52","author":[{"given":"Giulia","family":"Quattrini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Gatti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D\u00e9bora Elisa","family":"Peretti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Aiello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claire","family":"Chevalier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aurelien","family":"Lathuiliere","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahel","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michela","family":"Pievani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Salvatore","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Scheffler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annamaria","family":"Cattaneo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni B.","family":"Frisoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentina","family":"Garibotto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moira","family":"Marizzoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,2]]},"reference":[{"key":"7299_CR1","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/S0140-6736(15)01124-1","volume":"388","author":"P Scheltens","year":"2016","unstructured":"Scheltens P, Blennow K, Breteler MMB, de Strooper B, Frisoni GB, Salloway S, et al. Alzheimer\u2019s disease. Lancet. 2016;388:505\u201317. https:\/\/doi.org\/10.1016\/S0140-6736(15)01124-1","journal-title":"Lancet"},{"key":"7299_CR2","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1111\/jgs.18748","volume":"72","author":"V Hern\u00e1ndez-Ruiz","year":"2024","unstructured":"Hern\u00e1ndez-Ruiz V, Roubaud-Baudron C, Von Campe H, Retuerto N, M\u00e9graud F, Helmer C, et al. Association between Helicobacter pylori infection and incident risk of dementia: the AMI cohort. J Am Geriatr Soc. 2024;72:1191\u20138. https:\/\/doi.org\/10.1111\/jgs.18748","journal-title":"J Am Geriatr Soc"},{"key":"7299_CR3","doi-asserted-by":"publisher","first-page":"e568","DOI":"10.1212\/WNL.000000000020148","volume":"100","author":"J Huang","year":"2023","unstructured":"Huang J, Su B, Karhunen V, Gill D, Zuber V, Ahola-Olli A, et al. Inflammatory diseases, inflammatory biomarkers, and alzheimer disease: an observational analysis and Mendelian randomization. Neurology. 2023;100:e568\u201381. https:\/\/doi.org\/10.1212\/WNL.000000000020148","journal-title":"Neurology"},{"key":"7299_CR4","doi-asserted-by":"publisher","first-page":"16199","DOI":"10.3390\/ijms232416199","volume":"23","author":"EO Adewuyi","year":"2022","unstructured":"Adewuyi EO, O\u2019Brien EK, Porter T, Laws SM. Relationship of cognition and Alzheimer\u2019s disease with Gastrointestinal tract disorders: A Large-Scale genetic overlap and Mendelian randomisation analysis. Int J Mol Sci. 2022;23:16199. https:\/\/doi.org\/10.3390\/ijms232416199","journal-title":"Int J Mol Sci"},{"key":"7299_CR5","doi-asserted-by":"publisher","first-page":"e0278276","DOI":"10.1371\/journal.pone.0278276","volume":"17","author":"JH Jung","year":"2022","unstructured":"Jung JH, Kim G, Byun MS, Lee JH, Yi D, Park H, et al. Gut Microbiome alterations in preclinical Alzheimer\u2019s disease. PLoS ONE. 2022;17:e0278276. https:\/\/doi.org\/10.1371\/journal.pone.0278276","journal-title":"PLoS ONE"},{"key":"7299_CR6","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1212\/01.wnl.0000203644.68059.5","volume":"66","author":"J Kountouras","year":"2006","unstructured":"Kountouras J, Tsolaki M, Gavalas E, Boziki M, Zavos C, Karatzoglou P, et al. Relationship between Helicobacter pylori infection and alzheimer disease. Neurology. 2006;66:938\u201340. https:\/\/doi.org\/10.1212\/01.wnl.0000203644.68059.5","journal-title":"Neurology"},{"key":"7299_CR7","doi-asserted-by":"publisher","first-page":"e0144589","DOI":"10.1371\/journal.pone.0144589","volume":"11","author":"CH Chen","year":"2016","unstructured":"Chen CH, Lin CL, Kao CH. Irritable bowel syndrome is associated with an increased risk of dementia: A nationwide population-based study. PLoS ONE. 2016;11:e0144589. https:\/\/doi.org\/10.1371\/journal.pone.0144589","journal-title":"PLoS ONE"},{"key":"7299_CR8","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1136\/gutjnl-2018-317431","volume":"69","author":"M-S Kim","year":"2020","unstructured":"Kim M-S, Kim Y, Choi H, Kim W, Park S, Lee D, et al. Transfer of a healthy microbiota reduces amyloid and Tau pathology in an Alzheimer\u2019s disease animal model. Gut. 2020;69:283\u201394. https:\/\/doi.org\/10.1136\/gutjnl-2018-317431","journal-title":"Gut"},{"key":"7299_CR9","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1038\/s41398-019-0525-3","volume":"9","author":"J Sun","year":"2019","unstructured":"Sun J, Xu J, Ling Y, Wang F, Gong T, Yang C, et al. Fecal microbiota transplantation alleviated Alzheimer\u2019s disease-like pathogenesis in APP\/PS1 Transgenic mice. Transl Psychiatry. 2019;9:189. https:\/\/doi.org\/10.1038\/s41398-019-0525-3","journal-title":"Transl Psychiatry"},{"key":"7299_CR10","doi-asserted-by":"publisher","first-page":"41802","DOI":"10.1038\/srep41802","volume":"7","author":"T Harach","year":"2017","unstructured":"Harach T, Marungruang N, Duthilleul N, Cheatham V, Coy KDM, Frisoni G, et al. Reduction of Abeta amyloid pathology in APPPS1 Transgenic mice in the absence of gut microbiota. Sci Rep. 2017;7:41802. https:\/\/doi.org\/10.1038\/srep41802","journal-title":"Sci Rep"},{"key":"7299_CR11","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.neurobiolaging.2016.08.019","volume":"49","author":"A Cattaneo","year":"2017","unstructured":"Cattaneo A, Cattane N, Galluzzi S, Provasi S, Lopizzo N, Festari C, et al. Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. Neurobiol Aging. 2017;49:60\u20138. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2016.08.019","journal-title":"Neurobiol Aging"},{"key":"7299_CR12","doi-asserted-by":"publisher","first-page":"eabo2984","DOI":"10.1126\/scitranslmed.abo2984","volume":"15","author":"AL Ferreiro","year":"2023","unstructured":"Ferreiro AL, Choi J, Ryou J, Newcomer EP, Thompson R, Bollinger RM, et al. Gut Microbiome composition May be an indicator of preclinical Alzheimer\u2019s disease. Sci Transl Med. 2023;15:eabo2984. https:\/\/doi.org\/10.1126\/scitranslmed.abo2984","journal-title":"Sci Transl Med"},{"key":"7299_CR13","doi-asserted-by":"publisher","first-page":"13537","DOI":"10.1038\/s41598-017-13601-y","volume":"7","author":"NM Vogt","year":"2017","unstructured":"Vogt NM, Kerby RL, Dill-McFarland KA, Harding SJ, Merluzzi AP, Johnson SC, et al. Gut Microbiome alterations in Alzheimer\u2019s disease. Sci Rep. 2017;7:13537. https:\/\/doi.org\/10.1038\/s41598-017-13601-y","journal-title":"Sci Rep"},{"key":"7299_CR14","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/978-1-0716-3774-6_11","volume":"2785","author":"F D\u2019Amico","year":"2024","unstructured":"D\u2019Amico F, Sofia L, Bauckneht M, Morbelli S, Amyloid PET, Imaging. Standard procedures and semiquantification. Methods Mol Biol. 2024;2785:165\u201375. https:\/\/doi.org\/10.1007\/978-1-0716-3774-6_11","journal-title":"Methods Mol Biol"},{"key":"7299_CR15","doi-asserted-by":"publisher","unstructured":"Meyer PF, McSweeney M, Gonneaud J, Villeneuve S. AD molecular: PET amyloid imaging across the Alzheimer\u2019s disease spectrum: from disease mechanisms to prevention. Prog Mol Biol Transl Sci. 2019;165:63\u2013106. https:\/\/doi.org\/10.1016\/bs.pmbts.2019.05.001","DOI":"10.1016\/bs.pmbts.2019.05.001"},{"key":"7299_CR16","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/0361-9230(95)02006-D","volume":"38","author":"A Cabal","year":"1995","unstructured":"Cabal A, Alonso-Cortina V, Gonzalez-Vazquez LO, Naves FJ, Del Valle ME, Vega JA. \u03b2-Amyloid precursor protein (\u03b2APP) in human gut with special reference to the enteric nervous system. Brain Res Bull. 1995;38:417\u201323. https:\/\/doi.org\/10.1016\/0361-9230(95)02006-D","journal-title":"Brain Res Bull"},{"key":"7299_CR17","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1002\/ana.410300509","volume":"30","author":"H Arai","year":"1991","unstructured":"Arai H, Lee VM, Messinger ML, Greenberg BD, Lowery DE, Trojanowski JQ. Expression patterns of \u03b2-amyloid precursor protein (\u03b2\u2010APP) in neural and nonneural human tissues from Alzheimer\u2019s disease and control subjects. Annals Neurology: Official J Am Neurol Association Child Neurol Soc. 1991;30:686\u201393. https:\/\/doi.org\/10.1002\/ana.410300509","journal-title":"Annals Neurology: Official J Am Neurol Association Child Neurol Soc"},{"key":"7299_CR18","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1038\/341226a0","volume":"341","author":"CL Joachim","year":"1989","unstructured":"Joachim CL, Mori H, Selkoe DJ. Amyloid \u03b2-protein deposition in tissues other than brain in Alzheimer\u2019s disease. Nature. 1989;341:226\u201330. https:\/\/doi.org\/10.1038\/341226a0","journal-title":"Nature"},{"key":"7299_CR19","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.3233\/JAD-142259","volume":"44","author":"KL Puig","year":"2015","unstructured":"Puig KL, Lutz BM, Urquhart SA, Rebel AA, Zhou X, Manocha GD, et al. Overexpression of mutant amyloid-\u03b2 protein precursor and presenilin 1 modulates enteric nervous system. J Alzheimers Dis. 2015;44:1263\u201378. https:\/\/doi.org\/10.3233\/JAD-142259","journal-title":"J Alzheimers Dis"},{"key":"7299_CR20","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.arr.2016.01.005","volume":"30","author":"VL Villemagne","year":"2016","unstructured":"Villemagne VL. Amyloid imaging: past, present and future perspectives. Ageing Res Rev. 2016;30:95\u2013106. https:\/\/doi.org\/10.1016\/j.arr.2016.01.005","journal-title":"Ageing Res Rev"},{"key":"7299_CR21","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/S1474-4422(11)70123-5","volume":"10","author":"K Herholz","year":"2011","unstructured":"Herholz K, Ebmeier K. Clinical amyloid imaging in Alzheimer\u2019s disease. Lancet Neurol. 2011;10:667\u2013. https:\/\/doi.org\/10.1016\/S1474-4422(11)70123-5. \u200970.","journal-title":"Lancet Neurol"},{"key":"7299_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13195-021-00846-z","volume":"13","author":"F Ribaldi","year":"2021","unstructured":"Ribaldi F, Chicherio C, Altomare D, Martins M, Tomczyk S, Jelescu I, et al. Brain connectivity and metacognition in persons with subjective cognitive decline (COSCODE): rationale and study design. Alzheimers Res Ther. 2021;13:1\u20138. https:\/\/doi.org\/10.1186\/s13195-021-00846-z","journal-title":"Alzheimers Res Ther"},{"key":"7299_CR23","doi-asserted-by":"publisher","first-page":"558","DOI":"10.3389\/fnins.2016.00558","volume":"10","author":"LL Backhausen","year":"2016","unstructured":"Backhausen LL, Herting MM, Buse J, Roessner V, Smolka MN, Vetter NC. Quality control of structural MRI images applied using FreeSurfer-a hands-on workflow to rate motion artifacts. Front Neurosci. 2016;10:558. https:\/\/doi.org\/10.3389\/fnins.2016.00558","journal-title":"Front Neurosci"},{"key":"7299_CR24","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"B Fischl","year":"2012","unstructured":"Fischl B, FreeSurfer. NeuroImage. 2012;62:774\u201381. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.021","journal-title":"NeuroImage"},{"key":"7299_CR25","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.neuroimage.2019.01.014","volume":"189","author":"ET Klapwijk","year":"2019","unstructured":"Klapwijk ET, Kamp F, Van De, Meulen M, Van Der, Peters S, Wierenga LM. Qoala-T: A supervised-learning tool for quality control of freesurfer segmented MRI data. NeuroImage. 2019;189:116\u201329. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.01.014","journal-title":"NeuroImage"},{"key":"7299_CR26","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.neuroimage.2013.12.021","volume":"92","author":"DN Greve","year":"2014","unstructured":"Greve DN, Svarer C, Fisher PM, Feng L, Hansen AE, Baare W, et al. Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data. NeuroImage. 2014;92:225\u201336. https:\/\/doi.org\/10.1016\/j.neuroimage.2013.12.021","journal-title":"NeuroImage"},{"key":"7299_CR27","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.neuroimage.2016.02.042","volume":"132","author":"DN Greve","year":"2016","unstructured":"Greve DN, Salat DH, Bowen SL, Izquierdo-Garcia D, Schultz AP, Catana C, et al. Different partial volume correction methods lead to different conclusions: an 18F-FDG-PET study of aging. NeuroImage. 2016;132:334\u201343. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.02.042","journal-title":"NeuroImage"},{"key":"7299_CR28","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1016\/j.jalz.2015.05.001","volume":"11","author":"WJ Jagust","year":"2015","unstructured":"Jagust WJ, Landau SM, Koeppe RA, Reiman EM, Chen K, Mathis CA, et al. The Alzheimer\u2019s disease neuroimaging initiative 2 PET core: 2015. Alzheimer\u2019s Dement. 2015;11:757\u201371. https:\/\/doi.org\/10.1016\/j.jalz.2015.05.001","journal-title":"Alzheimer\u2019s Dement"},{"key":"7299_CR29","doi-asserted-by":"publisher","first-page":"19576","DOI":"10.1038\/s41598-020-76102-5","volume":"10","author":"SH Cho","year":"2020","unstructured":"Cho SH, Choe YS, Kim YJ, Lee B, Kim HJ, Jang H, et al. Concordance in detecting amyloid positivity between 18F-florbetaben and 18F-flutemetamol amyloid PET using quantitative and qualitative assessments. Sci Rep. 2020;10:19576. https:\/\/doi.org\/10.1038\/s41598-020-76102-5","journal-title":"Sci Rep"},{"key":"7299_CR30","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10278-004-1014-6","volume":"17","author":"A Rosset","year":"2004","unstructured":"Rosset A, Spadola L, Ratib O. OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging. 2004;17:205\u201316. https:\/\/doi.org\/10.1007\/s10278-004-1014-6","journal-title":"J Digit Imaging"},{"key":"7299_CR31","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.3390\/molecules24061072","volume":"24","author":"S Hellberg","year":"2019","unstructured":"Hellberg S, Silvola JMU, Liljenb\u00e4ck H, Kiugel M, Eskola O, Hakovirta H, et al. Amyloid-targeting PET tracer [18F]flutemetamol accumulates in atherosclerotic plaques. Molecules. 2019;24:1072. https:\/\/doi.org\/10.3390\/molecules24061072","journal-title":"Molecules"},{"key":"7299_CR32","doi-asserted-by":"publisher","first-page":"e230024","DOI":"10.1148\/ryai.230024","volume":"5","author":"J Wasserthal","year":"2023","unstructured":"Wasserthal J, Breit H-C, Meyer MT, Pradella M, Hinck D, Sauter AW, et al. TotalSegmentator: robust segmentation of 104 anatomic structures in CT images. Radiol Artif Intell. 2023;5:e230024. https:\/\/doi.org\/10.1148\/ryai.230024","journal-title":"Radiol Artif Intell"},{"key":"7299_CR33","doi-asserted-by":"publisher","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","volume":"54","author":"BB Avants","year":"2011","unstructured":"Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC. A reproducible evaluation of ants similarity metric performance in brain image registration. NeuroImage. 2011;54:2033\u201344. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.09.025","journal-title":"NeuroImage"},{"key":"7299_CR34","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, et al. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage. 2004;23:S208\u201319. https:\/\/doi.org\/10.1016\/j.neuroimage.2004.07.051","journal-title":"NeuroImage"},{"key":"7299_CR35","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1038\/s41587-019-0209-9","volume":"37","author":"E Bolyen","year":"2019","unstructured":"Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. Reproducible, interactive, scalable and extensible Microbiome data science using QIIME 2. Nat Biotechnol. 2019;37:852\u20137. https:\/\/doi.org\/10.1038\/s41587-019-0209-9","journal-title":"Nat Biotechnol"},{"key":"7299_CR36","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1038\/nmeth.3869","volume":"13","author":"BJ Callahan","year":"2016","unstructured":"Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: High-resolution sample inference from illumina amplicon data. Nat Methods. 2016;13:581\u20133. https:\/\/doi.org\/10.1038\/nmeth.3869","journal-title":"Nat Methods"},{"key":"7299_CR37","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1186\/s40168-018-0470-z","volume":"6","author":"NA Bokulich","year":"2018","unstructured":"Bokulich NA, Kaehler BD, Rideout JR, Dillon M, Bolyen E, Knight R, et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2\u2019s q2-feature-classifier plugin. Microbiome. 2018;6:90. https:\/\/doi.org\/10.1186\/s40168-018-0470-z","journal-title":"Microbiome"},{"key":"7299_CR38","unstructured":"Kassambara A, rstatix. Pipe-Friendly Framework for Basic Statistical Tests. R package version 0.7.2. https:\/\/rpkgs.datanovia.com\/rstatix\/"},{"key":"7299_CR39","unstructured":"Oksanen J, Simpson G, Blanchet FG, Kindt R. vegan: Community Ecology Package. R package version 2.7-0. https:\/\/github.com\/vegandevs\/vegan, https:\/\/vegandevs.github.io\/vegan\/"},{"key":"7299_CR40","doi-asserted-by":"publisher","first-page":"665","DOI":"10.5351\/CSAM.2015.22.6.665","volume":"22","author":"S Kim","year":"2015","unstructured":"Kim S. Ppcor: an R package for a fast calculation to Semi-partial correlation coefficients. Commun Stat Appl Methods. 2015;22:665\u201374. https:\/\/doi.org\/10.5351\/CSAM.2015.22.6.665","journal-title":"Commun Stat Appl Methods"},{"key":"7299_CR41","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1111\/nan.12298","volume":"42","author":"K Del Tredici","year":"2016","unstructured":"Del Tredici K, Braak H. Sporadic Parkinson\u2019s disease: development and distribution of \u03b1-synuclein pathology. Neuropathol Appl Neurobiol. 2016;42:33\u201350. https:\/\/doi.org\/10.1111\/nan.12298","journal-title":"Neuropathol Appl Neurobiol"},{"key":"7299_CR42","doi-asserted-by":"publisher","first-page":"3397","DOI":"10.1016\/j.neuron.2023.07.015","volume":"111","author":"F Garretti","year":"2023","unstructured":"Garretti F, Monahan C, Sloan N, Bergen J, Shahriar S, Kim SW, et al. Interaction of an \u03b1-synuclein epitope with HLA-DRB1\u221715:01 triggers enteric features in mice reminiscent of prodromal Parkinson\u2019s disease. Neuron. 2023;111:3397\u2013413. https:\/\/doi.org\/10.1016\/j.neuron.2023.07.015","journal-title":"Neuron"},{"key":"7299_CR43","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1038\/nature12481","volume":"501","author":"M Jucker","year":"2013","unstructured":"Jucker M, Walker LC. Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature. 2013;501:45\u201351. https:\/\/doi.org\/10.1038\/nature12481","journal-title":"Nature"},{"key":"7299_CR44","doi-asserted-by":"publisher","unstructured":"Goedert M. Alzheimer\u2019s and Parkinson\u2019s diseases: the prion concept in relation to assembled A\u03b2, Tau, and \u03b1-synuclein. Science. 2015;349. https:\/\/doi.org\/10.1126\/science.1255555","DOI":"10.1126\/science.1255555"},{"key":"7299_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40035-019-0172-x","volume":"8","author":"NP Visanji","year":"2019","unstructured":"Visanji NP, Lang AE, Kovacs GG. Beyond the synucleinopathies: alpha synuclein as a driving force in neurodegenerative comorbidities. Transl Neurodegener. 2019;8:1\u201313. https:\/\/doi.org\/10.1186\/s40035-019-0172-x","journal-title":"Transl Neurodegener"},{"key":"7299_CR46","doi-asserted-by":"publisher","unstructured":"Schmitt J, Palleis C, Sauerbeck J, Unterrainer M, Harris S, Prix C, et al. Dual-Phase \u03b2-Amyloid PET captures neuronal injury and amyloidosis in corticobasal syndrome. Front Aging Neurosci. 2021;13. https:\/\/doi.org\/10.3389\/fnagi.2021.661284","DOI":"10.3389\/fnagi.2021.661284"},{"key":"7299_CR47","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1016\/j.immuni.2009.09.012","volume":"31","author":"R Daneman","year":"2009","unstructured":"Daneman R, Rescigno M. The gut immune barrier and the Blood-Brain barrier: are they so different?? Immunity. 2009;31:722\u201335. https:\/\/doi.org\/10.1016\/j.immuni.2009.09.012","journal-title":"Immunity"},{"key":"7299_CR48","doi-asserted-by":"publisher","unstructured":"Scalise AA, Kakogiannos N, Zanardi F, Iannelli F, Giannotta M. The blood\u2013brain and gut\u2013vascular barriers: from the perspective of claudins. Tissue Barriers. 2021;9. https:\/\/doi.org\/10.1080\/21688370.2021.1926190","DOI":"10.1080\/21688370.2021.1926190"},{"key":"7299_CR49","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1080\/13506129.2018.1467313","volume":"25","author":"J Mestre-Torres","year":"2018","unstructured":"Mestre-Torres J, Lorenzo-Bosquet C, Cuberas-Borr\u00f3s G, Gironella M, Solans-Laque R, Fern\u00e1ndez-Codina A, et al. Utility of the 18 F-Florbetapir positron emission tomography in systemic amyloidosis. Amyloid. 2018;25:109\u201314. https:\/\/doi.org\/10.1080\/13506129.2018.1467313","journal-title":"Amyloid"},{"key":"7299_CR50","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1007\/s12194-017-0419-0","volume":"10","author":"G Akamatsu","year":"2017","unstructured":"Akamatsu G, Nishio T, Adachi K, Ikari Y, Senda M. Whole-body biodistribution and the influence of body activity on brain kinetic analysis of the 11\u00a0C-PiB PET scan. Radiol Phys Technol. 2017;10:464\u201374. https:\/\/doi.org\/10.1007\/s12194-017-0419-0","journal-title":"Radiol Phys Technol"},{"key":"7299_CR51","doi-asserted-by":"publisher","unstructured":"Forsythe P, Bienenstock J, Kunze WA. Vagal pathways for microbiome-brain-gut axis communication. Microbial endocrinology: the microbiota-gut-brain axis. Health Disease. 2014;115\u201333. https:\/\/doi.org\/10.1007\/978-1-4939-0897-4_5","DOI":"10.1007\/978-1-4939-0897-4_5"},{"key":"7299_CR52","doi-asserted-by":"publisher","unstructured":"Beck G, Hori Y, Hayashi Y, Morii E, Takehara T, Mochizuki H. Detection of phosphorylated Alpha-Synuclein in the muscularis propria of the Gastrointestinal tract is a sensitive predictor for Parkinson\u2019s disease. Parkinsons Dis. 2020;2020. https:\/\/doi.org\/10.1155\/2020\/4687530","DOI":"10.1155\/2020\/4687530"},{"key":"7299_CR53","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1007\/s00401-019-02040-w","volume":"138","author":"N Berge","year":"2019","unstructured":"Berge N, Van Den, Ferreira N, Gram H, Mikkelsen TW, Alstrup AKO, Casadei N, et al. Evidence for bidirectional and trans-synaptic parasympathetic and sympathetic propagation of alpha-synuclein in rats. Acta Neuropathol. 2019;138:535\u201350. https:\/\/doi.org\/10.1007\/s00401-019-02040-w","journal-title":"Acta Neuropathol"},{"key":"7299_CR54","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/s00702-002-0808-2","volume":"110","author":"H Braak","year":"2003","unstructured":"Braak H, R\u00fcb U, Gai WP, Tredici K, Del. Idiopathic Parkinson\u2019s disease: possible routes by which vulnerable neuronal types May be subject to neuroinvasion by an unknown pathogen. J Neural Transm. 2003;110:517\u201336. https:\/\/doi.org\/10.1007\/s00702-002-0808-2","journal-title":"J Neural Transm"},{"key":"7299_CR55","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/S0197-4580(02)00065-9","volume":"24","author":"H Braak","year":"2003","unstructured":"Braak H, Tredici K, Del, R\u00fcb U, Vos RAI, De, Steur ENHJ, Braak E. Staging of brain pathology related to sporadic Parkinson\u2019s disease. Neurobiol Aging. 2003;24:197\u2013211. https:\/\/doi.org\/10.1016\/S0197-4580(02)00065-9","journal-title":"Neurobiol Aging"},{"key":"7299_CR56","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1016\/j.neuron.2019.05.035","volume":"103","author":"S Kim","year":"2019","unstructured":"Kim S, Kwon S-H, Kam T-I, Panicker N, Karuppagounder SS, Lee S, et al. Transneuronal propagation of pathologic \u03b1-synuclein from the gut to the brain models Parkinson\u2019s disease. Neuron. 2019;103:627\u201341. https:\/\/doi.org\/10.1016\/j.neuron.2019.05.035","journal-title":"Neuron"},{"key":"7299_CR57","doi-asserted-by":"publisher","unstructured":"Ruiz-Riquelme A, Lau HHC, Stuart E, Goczi AN, Wang Z, Schmitt-Ulms G, et al. Prion-like propagation of \u03b2-amyloid aggregates in the absence of APP overexpression. Acta Neuropathol Commun. 2018;6. https:\/\/doi.org\/10.1186\/s40478-018-0529-x","DOI":"10.1186\/s40478-018-0529-x"},{"key":"7299_CR58","doi-asserted-by":"publisher","unstructured":"Sardar Sinha M, Ansell-Schultz A, Civitelli L, Hildesj\u00f6 C, Larsson M, Lannfelt L, et al. Alzheimer\u2019s disease pathology propagation by exosomes containing toxic amyloid-beta oligomers. Acta Neuropathol. 2018;136. https:\/\/doi.org\/10.1007\/s00401-018-1868-1","DOI":"10.1007\/s00401-018-1868-1"},{"key":"7299_CR59","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s00018-023-04948-9","volume":"80","author":"G Liu","year":"2023","unstructured":"Liu G, Yu Q, Zhu H, Tan B, Yu H, Li X, et al. Amyloid-\u03b2 mediates intestinal dysfunction and enteric neurons loss in Alzheimer\u2019s disease Transgenic mouse. Cell Mol Life Sci. 2023;80:351. https:\/\/doi.org\/10.1007\/s00018-023-04948-9","journal-title":"Cell Mol Life Sci"},{"key":"7299_CR60","doi-asserted-by":"publisher","first-page":"1241","DOI":"10.3233\/JAD-170020","volume":"60","author":"L Zhang","year":"2017","unstructured":"Zhang L, Wang Y, Xiayu X, Shi C, Chen W, Song N, et al. Altered gut microbiota in a mouse model of Alzheimer\u2019s disease. J Alzheimer\u2019s Disease. 2017;60:1241\u201357. https:\/\/doi.org\/10.3233\/JAD-170020","journal-title":"J Alzheimer\u2019s Disease"},{"key":"7299_CR61","doi-asserted-by":"publisher","first-page":"3523","DOI":"10.3390\/ijms21103523","volume":"21","author":"C Pellegrini","year":"2020","unstructured":"Pellegrini C, Daniele S, Antonioli L, Benvenuti L, D\u2019antongiovanni V, Piccarducci R, et al. Prodromal intestinal events in Alzheimer\u2019s disease (AD): colonic dysmotility and inflammation are associated with enteric ad-related protein deposition. Int J Mol Sci. 2020;21:3523. https:\/\/doi.org\/10.3390\/ijms21103523","journal-title":"Int J Mol Sci"},{"key":"7299_CR62","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1126\/science.1194516","volume":"330","author":"YS Eisele","year":"2010","unstructured":"Eisele YS, Oberm\u00fcller U, Heilbronner G, Baumann F, Kaeser SA, Wolburg H, et al. Peripherally applied A\u03b2-containing inoculates induce cerebral \u03b2-amyloidosis. Science. 2010;330:980\u20132. https:\/\/doi.org\/10.1126\/science.1194516","journal-title":"Science"},{"key":"7299_CR63","doi-asserted-by":"publisher","first-page":"4209","DOI":"10.1113\/jp279919","volume":"598","author":"Y Sun","year":"2020","unstructured":"Sun Y, Sommerville NR, Liu JYH, Ngan MP, Poon D, Ponomarev ED, et al. Intra-gastrointestinal amyloid-\u03b21\u201342 oligomers perturb enteric function and induce Alzheimer\u2019s disease pathology. J Physiol. 2020;598:4209\u201323. https:\/\/doi.org\/10.1113\/jp279919","journal-title":"J Physiol"},{"key":"7299_CR64","doi-asserted-by":"publisher","first-page":"e106320","DOI":"10.15252\/embj.2020106320","volume":"40","author":"C Chen","year":"2021","unstructured":"Chen C, Zhou Y, Wang H, Alam A, Kang SS, Ahn EH, et al. Gut inflammation triggers C\/EBP\u03b2\/\u03b4-secretase\u2010dependent gut\u2010to\u2010brain propagation of A\u03b2 and Tau fibrils in Alzheimer\u2019s disease. EMBO J. 2021;40:e106320. https:\/\/doi.org\/10.15252\/embj.2020106320","journal-title":"EMBO J"},{"key":"7299_CR65","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1136\/gutjnl-2021-326269","volume":"71","author":"C Chen","year":"2022","unstructured":"Chen C, Liao J, Xia Y, Liu X, Jones R, Haran J, et al. Gut microbiota regulate Alzheimer\u2019s disease pathologies and cognitive disorders via PUFA-associated neuroinflammation. Gut. 2022;71:2233\u201352. https:\/\/doi.org\/10.1136\/gutjnl-2021-326269","journal-title":"Gut"},{"key":"7299_CR66","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1186\/s13195-023-01218-5","volume":"15","author":"M Marizzoni","year":"2023","unstructured":"Marizzoni M, Mirabelli P, Mombelli E, Coppola L, Festari C, Lopizzo N, et al. A peripheral signature of Alzheimer\u2019s disease featuring microbiota-gut-brain axis markers. Alzheimers Res Ther. 2023;15:101. https:\/\/doi.org\/10.1186\/s13195-023-01218-5","journal-title":"Alzheimers Res Ther"},{"key":"7299_CR67","doi-asserted-by":"publisher","first-page":"713","DOI":"10.3389\/fmicb.2016.00713","volume":"7","author":"C Engels","year":"2016","unstructured":"Engels C, Ruscheweyh HJ, Beerenwinkel N, Lacroix C, Schwab C. The common gut microbe Eubacterium hallii also contributes to intestinal propionate formation. Front Microbiol. 2016;7:713. https:\/\/doi.org\/10.3389\/fmicb.2016.00713","journal-title":"Front Microbiol"},{"key":"7299_CR68","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1111\/j.1462-2920.2009.02066.x","volume":"12","author":"P Louis","year":"2010","unstructured":"Louis P, Young P, Holtrop G, Flint HJ. Diversity of human colonic butyrate-producing bacteria revealed by analysis of the butyryl-CoA:acetate CoA-transferase gene. Environ Microbiol. 2010;12:304\u201314. https:\/\/doi.org\/10.1111\/j.1462-2920.2009.02066.x","journal-title":"Environ Microbiol"},{"key":"7299_CR69","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1186\/s12877-020-01644-2","volume":"20","author":"V Stadlbauer","year":"2020","unstructured":"Stadlbauer V, Engertsberger L, Komarova I, Feldbacher N, Leber B, Pichler G, et al. Dysbiosis, gut barrier dysfunction and inflammation in dementia: A pilot study. BMC Geriatr. 2020;20:248. https:\/\/doi.org\/10.1186\/s12877-020-01644-2","journal-title":"BMC Geriatr"},{"key":"7299_CR70","doi-asserted-by":"publisher","unstructured":"Nishiwaki H, Ito M, Ishida T, Hamaguchi T, Maeda T, Kashihara K, et al. Meta-Analysis of gut dysbiosis in Parkinson\u2019s disease. Mov Disord. 2020;35. https:\/\/doi.org\/10.1002\/mds.28119","DOI":"10.1002\/mds.28119"},{"key":"7299_CR71","doi-asserted-by":"publisher","unstructured":"Sanguinetti E, Collado MC, Marrachelli VG, Monleon D, Selma-Royo M, Pardo-Tendero MM, et al. Microbiome-metabolome signatures in mice genetically prone to develop dementia, fed a normal or fatty diet. Sci Rep. 2018;8. https:\/\/doi.org\/10.1038\/s41598-018-23261-1","DOI":"10.1038\/s41598-018-23261-1"},{"key":"7299_CR72","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1111\/j.1348-0421.2000.tb01242.x","volume":"44","author":"A Kageyama","year":"2000","unstructured":"Kageyama A, Benno Y. Coprobacillus catenaformis gen. Nov., Sp. Nov., a new genus and species isolated from human feces. Microbiol Immunol. 2000;44:23\u20138. https:\/\/doi.org\/10.1111\/j.1348-0421.2000.tb01242.x","journal-title":"Microbiol Immunol"},{"key":"7299_CR73","doi-asserted-by":"publisher","unstructured":"Ye J, Lv L, Wu W, Li Y, Shi D, Fang D, et al. Butyrate protects mice against Methionine\u2013Choline-Deficient Diet-Induced Non-alcoholic steatohepatitis by improving gut barrier function, attenuating inflammation and reducing endotoxin levels. Front Microbiol. 2018;9. https:\/\/doi.org\/10.3389\/fmicb.2018.01967","DOI":"10.3389\/fmicb.2018.01967"},{"key":"7299_CR74","doi-asserted-by":"publisher","unstructured":"Stein RR, Bucci V, Toussaint NC, Buffie CG, R\u00e4tsch G, Pamer EG, et al. Ecological modeling from Time-Series inference: insight into dynamics and stability of intestinal microbiota. PLoS Comput Biol. 2013;9. https:\/\/doi.org\/10.1371\/journal.pcbi.1003388","DOI":"10.1371\/journal.pcbi.1003388"},{"key":"7299_CR75","doi-asserted-by":"publisher","unstructured":"Aasmets O, L\u00fcll K, Lang JM, Pan C, Kuusisto J, Fischer K, et al. Machine learning reveals Time-Varying microbial predictors with complex effects on glucose regulation. mSystems. 2021;6. https:\/\/doi.org\/10.1128\/msystems.01191-20","DOI":"10.1128\/msystems.01191-20"},{"key":"7299_CR76","doi-asserted-by":"publisher","unstructured":"Yu J, Lee KN, Kim HS, Han K, Lee SH. Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study. Sci Rep. 2023;13. https:\/\/doi.org\/10.1038\/s41598-023-47566-y","DOI":"10.1038\/s41598-023-47566-y"},{"key":"7299_CR77","doi-asserted-by":"publisher","unstructured":"Perov S, Lidor O, Salinas N, Golan N, Tayeb-Fligelman E, Deshmukh M, et al. Structural insights into curli CsgA cross-\u03b2 fibril architecture inspire repurposing of anti-amyloid compounds as anti-biofilm agents. PLoS Pathog. 2019;15. https:\/\/doi.org\/10.1371\/journal.ppat.1007978","DOI":"10.1371\/journal.ppat.1007978"},{"key":"7299_CR78","doi-asserted-by":"publisher","first-page":"34477","DOI":"10.1038\/srep34477","volume":"6","author":"SG Chen","year":"2016","unstructured":"Chen SG, Stribinskis V, Rane MJ, Demuth DR, Gozal E, Roberts AM, et al. Exposure to the functional bacterial amyloid protein curli enhances alpha-synuclein aggregation in aged Fischer 344 rats and Caenorhabditis elegans. Sci Rep. 2016;6:34477. https:\/\/doi.org\/10.1038\/srep34477","journal-title":"Sci Rep"},{"key":"7299_CR79","doi-asserted-by":"publisher","DOI":"10.1371\/journal.ppat.1006654","author":"RP Friedland","year":"2017","unstructured":"Friedland RP, Chapman MR. The role of microbial amyloid in neurodegeneration. PLoS Pathog. 2017. https:\/\/doi.org\/10.1371\/journal.ppat.1006654. 13.","journal-title":"PLoS Pathog"},{"key":"7299_CR80","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1016\/j.jalz.2018.06.3040","volume":"14","author":"RD Moir","year":"2018","unstructured":"Moir RD, Lathe R, Tanzi RE. The antimicrobial protection hypothesis of Alzheimer\u2019s disease. Alzheimer\u2019s Dement. 2018;14:1602\u201314. https:\/\/doi.org\/10.1016\/j.jalz.2018.06.3040","journal-title":"Alzheimer\u2019s Dement"},{"key":"7299_CR81","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/s2468-1253(22)00241-2","volume":"8","author":"C Pellegrini","year":"2023","unstructured":"Pellegrini C, Fornai M, D\u2019Antongiovanni V, Antonioli L, Bernardini N, Derkinderen P. The intestinal barrier in disorders of the central nervous system. Lancet Gastroenterol Hepatol. 2023;8:66\u201380. https:\/\/doi.org\/10.1016\/s2468-1253(22)00241-2","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"7299_CR82","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.cell.2015.09.040","volume":"16","author":"VA Pedicord","year":"2015","unstructured":"Pedicord VA, Mucida D. A sledgehammer breaks glass but Forges steel: BacteriA adhesion shapes gut immunity. Cell. 2015;16:273\u20134. https:\/\/doi.org\/10.1016\/j.cell.2015.09.040","journal-title":"Cell"},{"key":"7299_CR83","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1152\/ajpgi.00246.2020","volume":"319","author":"C Bernardazzi","year":"2020","unstructured":"Bernardazzi C, Xu H, Tong H, Laubitz D, da Paz VF, Curiel L, et al. An indisputable role of NHE8 in mucosal protection. Am J Physiol Gastrointest Liver Physiol. 2020;319:421\u201331. https:\/\/doi.org\/10.1152\/ajpgi.00246.2020","journal-title":"Am J Physiol Gastrointest Liver Physiol"},{"key":"7299_CR84","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1093\/jnen\/nlz116","volume":"79","author":"Y Katsumata","year":"2020","unstructured":"Katsumata Y, Fardo DW, Bachstetter AD, Artiushin SC, Wang WX, Wei A, et al. Alzheimer disease pathology-associated polymorphism in a complex variable number of tandem repeat region within the MUC6 gene, near the AP2A2 gene. J Neuropathol Exp Neurol. 2020;79:3\u201321. https:\/\/doi.org\/10.1093\/jnen\/nlz116","journal-title":"J Neuropathol Exp Neurol"},{"key":"7299_CR85","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1007\/s12149-015-0986-2","volume":"29","author":"M Senda","year":"2015","unstructured":"Senda M, Brooks DJ, Farrar G, Somer EJ, Paterson CL, Sasaki M, et al. The clinical safety, biodistribution and internal radiation dosimetry of flutemetamol (18F) injection in healthy Japanese adult volunteers. Ann Nucl Med. 2015;29:627\u201335. https:\/\/doi.org\/10.1007\/s12149-015-0986-2","journal-title":"Ann Nucl Med"},{"key":"7299_CR86","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12866-016-0708-5","volume":"16","author":"T Odamaki","year":"2016","unstructured":"Odamaki T, Kato K, Sugahara H, Hashikura N, Takahashi S, Xiao JZ, et al. Age-related changes in gut microbiota composition from newborn to centenarian: A cross-sectional study. BMC Microbiol. 2016;16:1\u201312. https:\/\/doi.org\/10.1186\/s12866-016-0708-5","journal-title":"BMC Microbiol"},{"key":"7299_CR87","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.nicl.2017.08.011","volume":"16","author":"VJ Lowe","year":"2017","unstructured":"Lowe VJ, Lundt E, Knopman D, Senjem ML, Gunter JL, Schwarz CG, et al. Comparison of [18F]Flutemetamol and [11\u00a0C]Pittsburgh Compound-B in cognitively normal young, cognitively normal elderly, and Alzheimer\u2019s disease dementia individuals. Neuroimage Clin. 2017;16:295\u2013302. https:\/\/doi.org\/10.1016\/j.nicl.2017.08.011","journal-title":"Neuroimage Clin"},{"key":"7299_CR88","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1212\/wnl.0b013e3181a2e8d0","volume":"72","author":"A Drzezga","year":"2009","unstructured":"Drzezga A, Grimmer T, Henriksen G, M\u00fchlau M, Perneczky R, Miederer I, et al. Effect of APOE genotype on amyloid plaque load and Gray matter volume in alzheimer disease. Neurology. 2009;72:1487\u201394. https:\/\/doi.org\/10.1212\/wnl.0b013e3181a2e8d0","journal-title":"Neurology"},{"key":"7299_CR89","doi-asserted-by":"publisher","first-page":"8221","DOI":"10.1096\/fj.201900071r","volume":"33","author":"TTT Tran","year":"2019","unstructured":"Tran TTT, Corsini S, Kellingray L, Hegarty C, Le Gall G, Narbad A, et al. APOE genotype influences the gut Microbiome structure and function in humans and mice: relevance for Alzheimer\u2019s disease pathophysiology. FASEB J. 2019;33:8221\u201331. https:\/\/doi.org\/10.1096\/fj.201900071r","journal-title":"FASEB J"}],"container-title":["European Journal of Nuclear Medicine and Molecular Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-025-07299-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00259-025-07299-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-025-07299-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T08:36:27Z","timestamp":1759394187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00259-025-07299-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,2]]},"references-count":89,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["7299"],"URL":"https:\/\/doi.org\/10.1007\/s00259-025-07299-8","relation":{},"ISSN":["1619-7070","1619-7089"],"issn-type":[{"value":"1619-7070","type":"print"},{"value":"1619-7089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,2]]},"assertion":[{"value":"12 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The gMAD\/COSCODE study was approved by the competent ethics committee (Commission cantonale d\u2019\u00e9thique de la recherche [CCER]; reference No. CCER_2016\u2009\u2212\u200901346, CCER_2020_00403) and was conducted in accordance with the first revision of the Declaration of Helsinki from 1975.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}