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1. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author

Chauhan, G., Adams, H.H.H., Satizabal, C.L., Bis, J.C., Teumer, A., Sargurupremraj, M., Hofer, E., Trompet, S., Hilal, S., Smith, A.V., Jian, X.Q., Malik, R., Traylor, M., Pulit, S.L., Amouyel, P., Mazoyer, B., Zhu, Y.C., Kaffashian, S., Schilling, S., Beecham, G.W., Montine, T.J., Schellenberg, G.D., Kjartansson, O., Gudnason, V., Knopman, D.S., Griswold, M.E., Windham, B.G., Gottesman, R.F., Mosley, T.H., Schmidt, R., Saba, Y., Schmidt, H., Takeuchi, F., Yamaguchi, S., Nabika, T., Kato, N., Rajan, K.B., Aggarwal, N.T., Jager, P.L. de, Evans, D.A., Psaty, B.M., Rotter, J.I., Rice, K., Lopez, O.L., Liao, J.M., Chen, C., Cheng, C.Y., Wong, T.Y., Ikram, M.K., Lee, S.J. van der, Amin, N., Chouraki, V., DeStefano, A.L., Aparicio, H.J., Romero, J.R., Maillard, P., DeCarli, C., Wardlaw, J.M., Hernandez, M.D.V., Luciano, M., Liewald, D., Deary, I.J., Starr, J.M., Bastin, M.E., Maniega, S.M., Slagboom, P.E., Beekman, M., Deelen, J., Uh, H.W., Lemmens, R., Brodaty, H., Wright, M.J., Ames, D., Boncoraglio, G.B., Hopewell, J.C., Beecham, A.H., Blanton, S.H., Wright, C.B., Sacco, R.L., Wen, W., Thalamuthu, A., Armstrong, N.J., Chong, E., Schofield, P.R., Kwok, J.B., Grond, J. van der, Stott, D.J., Ford, I., Jukema, J.W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Lugt, A. van der, Wittfeld, K., Grabe, H.J., Hosten, N., Sarnowski, B. von, Volker, U., Levi, C., Jimenez-Conde, J., Sharma, P., Sudlow, C.L.M., Rosand, J., Woo, D., Cole, J.W., Meschia, J.F., Slowik, A., Thijs, V., Lindgren, A., Melander, O., Grewal, R.P., Rundek, T., Rexrode, K., Rothwell, P.M., Arnett, D.K., Jern, C., Johnson, J.A., Benavente, O.R., Wasssertheil-Smoller, S., Lee, J.M., Wong, Q., Mitchell, B.D., Rich, S.S., McArdle, P.F., Geerlings, M.I., Graaf, Y. van der, Bakker, P.I.W. de, Asselbergs, F.W., Srikanth, V., Thomson, R., McWhirter, R., Moran, C., Callisaya, M., Phan, T., Rutten-Jacobs, L.C.A., Bevan, S., Tzourio, C., Mather, K.A., Sachdev, P.S., Duijn, C.M. van, Worrall, B.B., Dichgans, M., Kittner, S.J., Markus, H.S., Ikram, M.A., Fornage, M., Launer, L.J., Seshadri, S., Longstreth, W.T., Debette, S., Stroke Genetics Network SiGN, ISGC, METASTROKE, ADGC, and CHARGE Consortium

Subjects
Meta-analysis, Mendelian Randomization, Blood Pressure, Polymorphisms, Genome-wide Association, Silent, Insights, Small Vessel Disease, Matter Hyperintensity Volume, Ischemic Stroke, Doenças Cardio e Cérebro-vasculares
Abstract

Collaborators (845): Astrid M. Vicente Free PMC article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369905/ Objective: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods: We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results: The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion: In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI. info:eu-repo/semantics/publishedVersion

Published
2019

2. Relation of Diabetes to Cognitive Function in Hispanics/Latinos of Diverse Backgrounds in the United States

Author

Aiello, A.E., Elfassy, T., Zeki Al Hazzouri, A., Gellman, M., Tarraf, W., Grober, E., González, H.M., Haan, M.N., Florez, H.J., Luchsinger, J.A., Wright, C.B., and Schneiderman, N.

Abstract

Objectives:To examine the association between diabetes and cognitive function within U.S. Hispanics/Latinos of Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American background. Method: This cross-sectional study included 9,609 men and women (mean age = 56.5 years), who are members of the Hispanic Community Health Study/Study of Latinos. We classified participants as having diabetes, prediabetes, or normal glucose regulation. Participants underwent a neurocognitive battery consisting of tests of verbal fluency, delayed recall, and processing speed. Analyses were stratified by Hispanic/Latino subgroup. Results: From fully adjusted linear regression models, compared with having normal glucose regulation, having diabetes was associated with worse processing speed among Cubans (β = −1.99; 95% CI [confidence interval] = [−3.80, −0.19]) and Mexicans (β = −2.26; 95% CI = [−4.02, −0.51]). Compared with having normal glucose regulation, having prediabetes or diabetes was associated with worse delayed recall only among Mexicans (prediabetes: β = −0.34; 95% CI = [−0.63, −0.05] and diabetes: β = −0.41; 95% CI = [−0.79, −0.04]). No associations with verbal fluency. Discussion: The relationship between diabetes and cognitive function varied across Hispanic/Latino subgroup.

Published
2019
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3. A novel Alzheimer disease locus located near the gene encoding tau protein

Author

Jun, G., Ibrahim-Verbaas, C.A., Vronskaya, M., Lambert, J.-., Chung, J., Naj, A.C., Kunkle, B.W., Wang, L.-., Bis, J.C., Bellenguez, C., Harold, D., Lunetta, K.L., Destefano, A.L., Grenier-Boley, B., Sims, R., Beecham, G.W., Smith, A.V., Chouraki, V., Hamilton-Nelson, K.L., Ikram, M.A., Fievet, N., Denning, N., Martin, E.R., Schmidt, H., Kamatani, Y., Dunstan, M.L., Valladares, O., Laza, A.R., Zelenika, D., Ramirez, A., Foroud, T.M., Choi, S.-., Boland, A., Becker, T., Kukull, W.A., Van Der Lee, S.J., Pasquier, F., Cruchaga, C., Beekly, D., Fitzpatrick, A.L., Hanon, O., Gill, M., Barber, R., Gudnason, V., Campion, D., Love, S., Bennett, D.A., Amin, N., Berr, C., Tsolaki, M., Buxbaum, J.D., Lopez, O.L., Deramecourt, V., Fox, N.C., Cantwell, L.B., Tárraga, L., Dufouil, C., Hardy, J., Crane, P.K., Eiriksdottir, G., Hannequin, D., Clarke, R., Evans, D., Mosley, T.H., Letenneur, L., Brayne, C., Maier, W., De Jager, P., Emilsson, V., Dartigues, J.-., Hampel, H., Kamboh, M.I., De Bruijn, R.F.A.G., Tzourio, C., Pastor, P., Larson, E.B., Rotter, J.I., O'Donovan, M.C., Montine, T.J., Nalls, M.A., Mead, S., Reiman, E.M., Jonsson, P.V., Holmes, C., St George-Hyslop, P.H., Boada, M., Passmore, P., Wendland, J.R., Schmidt, R., Morgan, K., Winslow, A.R., Powell, J.F., Carasquillo, M., Younkin, S.G., Jakobsdóttir, J., Kauwe, J.S.K., Wilhelmsen, K.C., Rujescu, D., Nöthen, M.M., Hofman, A., Jones, L., Haines, J.L., Psaty, B.M., Van Broeckhoven, C., Holmans, P., Launer, L.J., Mayeux, R., Lathrop, M., Goate, A.M., Escott-Price, V., Seshadri, S., Pericak-Vance, M.A., Amouyel, P., Williams, J., Van Duijn, C.M., Schellenberg, G.D., Farrer, L.A., Adams, P.M., Albert, M.S., Albin, R.L., Apostolova, L.G., Arnold, S.E., Asthana, S., Atwood, C.S., Baldwin, C.T., Barmada, M.M., Barnes, L.L., Beach, T.G., Becker, J.T., Bigio, E.H., Bird, T.D., Blacker, D., Boeve, B.F., Bowen, J.D., Boxer, A., Burke, J.R., Cairns, N.J., Cao, C., Carlson, C.S., Carlsson, C.M., Carney, R.M., Carrasquillo, M.M., Carroll, S.L., Chui, H.C., Clark, D.G., Corneveaux, J., Cribbs, D.H., Crocco, E.A., De Jager, P.L., Decarli, C., Dekosky, S.T., Yesim Demirci, F., Dick, M., Dickson, D.W., Doody, R.S., Duara, R., Ertekin-Taner, N., Faber, K.M., Fairchild, T.J., Fallon, K.B., Farlow, M.R., Ferris, S., Frosch, M.P., Galasko, D.R., Gearing, M., Geschwind, D.H., Ghetti, B., Gilbert, J.R., Glass, J.D., Graff-Radford, N.R., Green, R.C., Growdon, J.H., Hakonarson, H., Hamilton, R.L., Harrell, L.E., Head, E., Honig, L.S., Huebinger, R.M., Huentelman, M.J., Hulette, C.M., Hyman, B.T., Jarvik, G.P., Jicha, G.A., Jin, L., Karydas, A., Kaye, J.A., Kim, R., Koo, E.H., Kowall, N.W., Kramer, J.H., Laferla, F.M., Lah, J.J., Leverenz, J.B., Levey, A.I., Ge, L., Lieberman, A.P., Lin, C., Lyketsos, C.G., Mack, W.J., Marson, D.C., Martiniuk, F., Mash, D.C., Masliah, E., Mccormick, W.C., Mccurry, S.M., Mcdavid, A.N., Mckee, A.C., Mesulam, M., Miller, B.L., Miller, C.A., Miller, J.W., Morris, J.C., Mukherjee, S., Murrell, J.R., Myers, A.J., O'Bryant, S., Olichney, J.M., Pankratz, V.S., Parisi, J.E., Partch, A., Paulson, H.L., Perry, W., Peskind, E., Petersen, R.C., Pierce, A., Poon, W.W., Potter, H., Quinn, J.F., Raj, A., Raskind, M., Reisberg, B., Reisch, J.S., Reitz, C., Ringman, J.M., Roberson, E.D., Rogaeva, E., Rosen, H.J., Rosenberg, R.N., Royall, D.R., Sager, M.A., Sano, M., Saykin, A.J., Schneider, J.A., Schneider, L.S., Seeley, W.W., Smith, A.G., Sonnen, J.A., Spina, S., Stern, R.A., Tanzi, R.E., Thornton-Wells, T.A., Trojanowski, J.Q., Troncoso, J.C., Tsuang, D.W., Van Deerlin, V.M., Van Eldik, L.J., Vardarajan, B.N., Vinters, H.V., Vonsattel, J.P., Weintraub, S., Welsh-Bohmer, K.A., Williamson, J., Wishnek, S., Woltjer, R.L., Wright, C.B., Chuang-Kuo, W., Chang-En, Y., Lei, Y., Thomas, C., Gerrish, A., Chapman, J., Stretton, A., Morgan, A., Oldham, H., Owen, M.J., Kehoe, P.G., Medway, C., Brown, K., Lord, J., Turton, J., Hooper, N.M., Vardy, E., Warren, J.D., Schott, J.M., Uphill, J., Hollingworth, P., Ryan, N., Rossor, M., Collinge, J., Ben-Shlomo, Y., Makrina, D., Gkatzima, O., Lupton, M., Koutroumani, M., Avramidou, D., Germanou, A., Jessen, F., Riedel-Heller, S., Dichgans, M., Heun, R., Kölsch, H., Schürmann, B., Herold, C., Lacour, A., Drichel, D., Hoffmann, P., Kornhuber, J., Wei, G., Feulner, T., Mayhaus, M., Pichler, S., Riemenschneider, M., van den Bussche, H., Lawlor, B., Lynch, A., Mann, D., Smith, A.D., Warden, D., Wilcock, G., Heuser, I., Wiltfang, J., Frölich, L., Hüll, M., Mayo, K., Livingston, G., Bass, N.J., Gurling, H., Mcquillin, A., Gwilliam, R., Deloukas, P., Al-Chalabi, A., Shaw, C.E., Singleton, A.B., Guerreiro, R., Russo, G., Jöckel, K., Moebus, S., Klopp, N., Wichmann, H.-., Li, M., Bisceglio, G., Fisher, E., Warner, N., Pickering-Brown, S., Craig, D., Johnston, J.A., Mcguinness, B., Todd, S., Rubinsztein, D.C., Lovestone, S., Bayer, A., Gallacher, J., Proitsi, P., Ortega-Cubero, Saraadams, P., Albert, M., Albin, R., Apostolova, L., Arnold, S., Atwood, C., Baldwin, C., Barmada, M., Barnes, L., Beach, T., Becker, J., Bigio, E., Bird, T., Boeve, B., Bowen, J., Burke, J., Cairns, N., Carlson, C., Carlsson, C., Carney, R., Carrasquillo, M., Carroll, S., Chui, H., Clark, D., Cribbs, D., Crocco, E., De Jager PL, Dekosky, S., Demirci, F., Dickson, D., Doody, R., Faber, K., Fairchild, T., Fallon, K., Farlow, M., Frosch, M., Galasko, D., Geschwind, D., Gilbert, J., Glass, J., Graff-Radford, N., Green, R., Growdon, J., Hamilton, R., Harrell, L., Honig, L., Huebinger, R., Huentelman, M., Hulette, C., Hyman, B., Jarvik, G., Jicha, G., Kauwe, J., Kaye, J., Koo, E., Kowall, N., Kramer, J., Laferla, F., Lah, J., Leverenz, J., Levey, A., Li, G., Lieberman, A., Lopez, O., Lyketsos, C., Mack, W., Marson, D., Mash, D., Mccormick, W., Mccurry, S., Mcdavid, A., Mckee, A., Miller, B., Miller, C., Miller, J., Morris, J., Murrell, J., Myers, A., Olichney, J., Pankratz, V., Parisi, J., Paulson, H., Petersen, R., Poon, W., Quinn, J., Reisch, J., Ringman, J., Roberson, E., Rosen, H., Rosenberg, R., Royall, D., Sager, M., Saykin, A., Schneider, J., Schneider, L., Seeley, W., Smith, A., Sonnen, J., Stern, R., Tanzi, R., Thornton-Wells, T., Trojanowski, J., Troncoso, J., Tsuang, D., Van Deerlin VM, Van Eldik LJ, Vardarajan, B., Vinters, H., Vonsattel, J., Welsh-Bohmer, K., Woltjer, R., Wright, C., Wu, C., Yu, C., Yu, L., Au, R., Wolf, P., Beiser, A., Satizabal, C., Uitterlinden, A., Rivadeneira, F., Koudstaal, P., Longstreth WT Jr, Kuller, L., Lumley, T., Rice, K., Harris, T., Nalls, M., Marksteiner, J., Dal-Bianco, P., Töglhofer, A., Freudenberger, P., Ransmayr, G., Benke, T., Toeglhofer, A., Boerwinkle, E., Bressler, J., Fornage, M., Morón, F., Hernández, I., Roca, M., Mauleón, A., Alegret, M., Ramírez-Lorca, R., González-Perez, A., Alpérovitch, A., Alvarez, V., Barberger-Gateau, P., Bettens, K., Bossù, P., Brice, A., Bullido, M., Caffara, P., Clarimon, J., Combarros, O., Coto, E., Del Zampo, M., Delepine, M., Deniz Naranjo MC, Epelbaum, J., Fratiglioni, L., Galimberti, D., Graff, C., Hiltunen, M., Ingelsson, M., Keller, L., Lannfelt, L., Llèo, A., Mancuso, M., Mateo, I., Mecocci, P., Nacmias, B., Panza, F., Pilotto, A., Garcia, F., Scarpini, E., Seripa, D., Sleegers, K., Soininen, H., Sorbi, S., Spalletta, G., Wallon, D., Owen, M., Kehoe, P., Hooper, N., Warren, J., Schott, J., Gu, W., Bass, N., Shaw, C., Singleton, A., Wichmann, H., Ma, L., Johnston, J., Rubinsztein, D., Ortega-Cubero, S., Epidemiology, Neurology, and Internal Medicine

Subjects
0301 basic medicine, Apolipoprotein E, Apolipoprotein E4, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, genetics [Alzheimer Disease], MAPT protein, human, tau Proteins, Polymorphism, Single Nucleotide, Article, Chromosomes, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Alzheimer Disease, Settore BIO/13 - Biologia Applicata, Humans, ddc:610, Polymorphism, Molecular Biology, Biology, genetics [Apolipoprotein E4], Genetic association, Temporal cortex, Genetics, Pair 17, Haplotype, Single Nucleotide, 3. Good health, Chromosome 17 (human), genetics [tau Proteins], Chemistry, 030104 developmental biology, Psychiatry and Mental Health, Chromosomes, Human, Pair 17, Genome-Wide Association Study, Settore MED/26 - Neurologia, Human medicine, Psychology, 030217 neurology & neurosurgery, Human
Abstract

APOE epsilon 4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer's Project (IGAP) Consortium in APOE epsilon 4+ (10 352 cases and 9207 controls) and APOE epsilon 4 - (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE e4 status. Suggestive associations (P < 1x10(-4)) in stage 1 were evaluated in an independent sample (stage 2) containing 4203 subjects (APOE epsilon 4+: 1250 cases and 536 controls; APOE epsilon 4 -: 718 cases and 1699 controls). Among APOE epsilon 4 - subjects, novel genome-wide significant (GWS) association was observed with 17 SNPs (all between KANSL1 and LRRC37A on chromosome 17 near MAPT) in a meta-analysis of the stage 1 and stage 2 data sets (best SNP, rs2732703, P = 5.8 x 10(-9)). Conditional analysis revealed that rs2732703 accounted for association signals in the entire 100-kilobase region that includes MAPT. Except for previously identified AD loci showing stronger association in APOE epsilon 4+ subjects (CR1 and CLU) or APOE epsilon 4 - subjects (MS4A6A/MS4A4A/MS4A6E), no other SNPs were significantly associated with AD in a specific APOE genotype subgroup. In addition, the finding in the stage 1 sample that AD risk is significantly influenced by the interaction of APOE with rs1595014 in TMEM106B (P = 1.6 x 10(-7)) is noteworthy, because TMEM106B variants have previously been associated with risk of frontotemporal dementia. Expression quantitative trait locus analysis revealed that rs113986870, one of the GWS SNPs near rs2732703, is significantly associated with four KANSL1 probes that target transcription of the first translated exon and an untranslated exon in hippocampus (P

Published
2016
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4. Mediterranean diet and carotid atherosclerosis in the Northern Manhattan study

Author

Gardener, H. Wright, C.B. Cabral, D. Scarmeas, N. Gu, Y. Cheung, K. Elkind, M.S.V. Sacco, R.L. Rundek, T.

Abstract

Objective: Adherence to a Mediterranean-style diet (MeDi) may protect against clinical vascular events by reducing atherosclerosis, but data is limited. This is the first observational study of the association between MeDi adherence and carotid plaque thickness and area. Methods: The study included 1374 participants of the population-based Northern Manhattan Study with diet assessed and carotid intima-media thickness (cIMT) and plaque measured using B-mode ultrasound (mean age 66±9years, 60% female, 60% Hispanic, 18% White, 19% Black). A MeDi adherence score (range=0-9, 9 representing maximal adherence) was examined continuously and in quintiles (3/4/5/6-9 vs. 0-2). Results: Mean cIMT=0.9±0.1mm and 57% had plaque (median plaque thickness=1.5mm, 75th percentile=2.2; median plaque area=4.2mm2, 75th percentile=15.8). There was no association between MeDi and cIMT or plaque presence. MeDi adherence was inversely associated with the 75th percentile of plaque thickness and median of plaque area in quantile regression analyses. These associations persisted after controlling for demographics, smoking, physical activity, and total energy consumption (effect of a 1-point increase in MeDi score on the 75th percentile of plaque thickness=-0.049mm, p=0.03; median of plaque area=-0.371mm2, p=0.03), and when additionally controlling for vascular disease biomarkers, medication use, BMI, and previous cardiac disease. The protective associations appeared strongest for those with a MeDi score of 5 (4th quintile) vs. 0-2 (bottom quintile). Differential effects of a MeDi on plaque thickness and area across race/ethnic groups was suggested. Conclusions: Moderate and strict adherence to a MeDi may protect against a higher burden of carotid atherosclerotic plaque, which may mediate the protection against clinical vascular events. Efforts to improve adherence to a MeDi are critical to reducing the burden of atherosclerotic disease. © 2014.

Published
2014

5. The association between a mediterranean-style diet and kidney function in the northern manhattan study cohort

Author

Khatri, M. Moon, Y.P. Scarmeas, N. Gu, Y. Gardener, H. Cheung, K. Wright, C.B. Sacco, R.L. Nickolas, T.L. Elkind, M.S.V.

Abstract

Background and objectives Various dietary strategies have been investigated to slow kidney function decline. However, it is unknownwhether aMediterranean diet,which has been associatedwith improved cardiovascular risk, is associated with change in kidney function Design, setting, participants, & measurements This study used the Northern Manhattan Study, a prospective, multiethnic, observational cohort of participants who were stroke free at baseline. Data were collected between 1993 and 2008. Serum creatinine measurements were taken a mean 6.9 years apart. A baseline dietary questionnairewas extrapolated into a previously used 9-point scoring system(MeDi). The primary outcomewas incident eGFR,60 ml/min per 1.73 m2using the Modification of Diet in Renal Disease formula. A secondary outcome was the upper quartile of annualized eGFR decline (≥2.5 ml/min per 1.73 m2 per year). Conditional logistic regression models adjusted for demographics and baseline vascular risk factors. Results Mean baseline age was 64 years, with 59% women and 65% Hispanics (N=900); mean baseline eGFR was 83.1 ml/min per 1.73 m2. Incident eGFR,60 ml/min per 1.73 m2 developed in 14%. In adjusted models, every 1-point increase in the MeDi score, indicating increasing adherence to a Mediterranean diet, was associated with decreased odds of incident eGFR,60 ml/min per 1.73 m2 (odds ratio, 0.83; 95% confidence interval, 0.71 to 0.96) and decreased odds of being in the upper quartile of eGFR decline (odds ratio, 0.88; 95% confidence interval, 0.79 to 0.98). Conclusions A Mediterranean diet was associated with a reduced incidence of eGFR,60 ml/min per 1.73m2 and upper quartile of eGFR decline in a multiethnic cohort. © 2014 by the American Society of Nephrology.

Published
2014

6. Serum IgG antibody levels to periodontal microbiota are associated with incident alzheimer disease

Author

Noble, J.M. Scarmeas, N. Celenti, R.S. Elkind, M.S.V. Wright, C.B. Schupf, N. Papapanou, P.N.

Abstract

Background: Periodontitis and Alzheimer disease (AD) are associated with systemic inflammation. This research studied serum IgG to periodontal microbiota as possible predictors of incident AD. Methods: Using a case-cohort study design, 219 subjects (110 incident AD cases and 109 controls without incident cognitive impairment at last follow-up), matched on race-ethnicity, were drawn from the Washington Heights-Inwood Columbia Aging Project (WHICAP), a cohort of longitudinally followed northern Manhattan residents aged >65 years. Mean follow-up was five years (SD 2.6). In baseline sera, serum IgG levels were determined for bacteria known to be positively or negatively associated with periodontitis (Porphyromonas gingivalis, Tannerella forsythia, Actinobacillus actinomycetemcomitans Y4, Treponema denticola, Campylobacter rectus, Eubacterium nodatum, and Actinomyces naeslundii genospecies-2). In all analyses, we used antibody threshold levels shown to correlate with presence of moderate-severe periodontitis. Results: Mean age was 72 years (SD 6.9) for controls, and 79 years (SD 4.6) for cases (p640 ng/ml, present in 10% of subjects) was associated with increased risk of AD (HR=2.0, 95%CI: 1.1-3.8). This association was stronger after adjusting for other significant titers (HR=3.1, 95%CI: 1.5-6.4). In this model, high anti-E. nodatum IgG (>1755 ng/ml; 19% of subjects) was associated with lower risk of AD (HR=0.5, 95%CI: 0.2-0.9). Conclusions: Serum IgG levels to common periodontal microbiota are associated with risk for developing incident AD. © 2014 Noble et al.

Published
2014

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