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Glutaminyl Cyclase, Diseases, and Development of Glutaminyl Cyclase Inhibitors

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Additional mechanisms conferring genetic susceptibility to Alzheimer’s disease

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Genetic Polymorphisms in Oxidative Stress and Inflammatory Pathways as Potential Biomarkers in Alzheimer’s Disease and Dementia

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Dual impact of neuroinflammation on cognitive and motor impairments in Alzheimer's disease

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Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review

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Associations between DNA Damage, DNA Base Excision Repair Gene Variability and Alzheimer's Disease Risk

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Renin–angiotensin system gene expression and neurodegenerative diseases

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Angiotensin Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Rescue Memory Defects inDrosophila-Expressing Alzheimer’s Disease-Related Transgenes Independently of the Canonical Renin Angiotensin System

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Genomic and multi-tissue proteomic integration for understanding the biology of disease and other complex traitsPreprint

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Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

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Multiplexing Biomarker Methods, Proteomics and Considerations for Alzheimer’s Disease

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The Role of Atypical Chemokine Receptors in Neuroinflammation and Neurodegenerative Disorders

Lindsay, H. G., Hendrix, C. J., Murcia, J. D. G., Haynie, C., & Weber, K. S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216493 · Cited by 27 · see citing works

Convergent transcriptomic and genomic evidence supporting a dysregulation of CXCL16 and CCL5 in Alzheimer’s disease

Li, X., Zhang, D., Bi, R., Tan, L., Chen, X., Xu, M., & Yao, Y. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01159-5 · Cited by 27 · see citing works

Glutaminyl cyclase activity correlates with levels of Aβ peptides and mediators of angiogenesis in cerebrospinal fluid of Alzheimer’s disease patients

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The pollutome-connectome axis: a putative mechanism to explain pollution effects on neurodegeneration

Pini, L., Salvalaggio, A., Wennberg, A. M. V., Dimakou, A., Matteoli, M., & Corbetta, M. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101867 · Cited by 26 · see citing works

IDENTIFICATION OF DISCRIMINATIVE IMAGING PROTEOMICS ASSOCIATIONS IN ALZHEIMER’S DISEASE VIA A NOVEL SPARSE CORRELATION MODEL

Yan, J., Risacher, S. L., Nho, K. T., Saykin, A. J., Shen, L., & Initiative, A. D. N. (2016) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789813207813_0010 · Cited by 25 · see citing works

Alzheimer’s Disease Variant Portal: A Catalog of Genetic Findings for Alzheimer’s Disease

Kuksa, P. P., Liu, C., Fu, W., Qu, L., Zhao, Y., Katanić, Ž., Clark, K., Kuzma, A. B., Ho, P., Tzeng, K., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215055 · Cited by 24 · see citing works

Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma

Liu, Y., Brossard, M., Sarnowski, C., Vaysse, A., Moffatt, M., Margaritte‐Jeannin, P., Llinares-López, F., Dizier, M., Lathrop, M. G., Cookson, W., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-01058-y · Cited by 22 · see citing works

A Systems View of the Differences between APOE ε4 Carriers and Non-carriers in Alzheimer’s Disease

Jiang, S., Tang, L. Y., Zhao, N., Yang, W., Qiu, Y. L., & Chen, H. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00171 · Cited by 22 · see citing works

Metalloproteinases and neurodegenerative diseases: pathophysiological and therapeutic perspectives

Rosenberg, G. A. (2015) · Metalloproteinases In Medicine · doi:10.2147/mnm.s68849 · Cited by 21 · see citing works

Cross-Cultural Longitudinal Study on Cognitive Decline (CLoCODE) for Subjective Cognitive Decline in China and Germany: A Protocol for Study Design

Sheng, C., Yang, K. Y., He, B., Li, T., Wang, X., Du, W., Hu, X., Jiang, J., Jiang, X., Jessen, F., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215452 · Cited by 19 · see citing works

Effects of surgery and propofol-remifentanil total intravenous anesthesia on cerebrospinal fluid biomarkers of inflammation, Alzheimer’s disease, and neuronal injury in humans: a cohort study

Pikwer, A., Castegren, M., Namdar, S., Blennow, K., Zetterberg, H., & Mattsson, N. (2017) · Journal of Neuroinflammation · doi:10.1186/s12974-017-0950-2 · Cited by 20 · see citing works

ABCA7 Genotypes Confer Alzheimer’s Disease Risk by Modulating Amyloid-β Pathology

Zhao, Q., Initiative, A. D. N., Wan, Y., Wang, H.-F., Sun, F.-R., Hao, X., Tan, M., Tan, C., Zhang, D., Tan, L., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-151005 · Cited by 20 · see citing works

Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort

Initiative, A. D. N., Wang, C., Meng, X., Li, J., Zhang, Q., Chen, F., Liu, W., Wang, Y., Cheng, S., Yao, X., et al. (2017) · BMC Genomics · doi:10.1186/s12864-017-3798-z · Cited by 20 · see citing works

Shared genetic architecture of COVID-19 and Alzheimer’s disease

Matveeva, N. A., Сергеевич, К. И., Baulina, N., Semina, E. V., Kakotkin, V. V., Агапов, М. А., Кулакова, О. Г., & Favorova, O. O. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1287322 · Cited by 19 · see citing works

A Pilot Genome‐Wide Analysis Study Identifies Loci Associated With Response to Obeticholic Acid in Patients With NASH

Gawrieh, S., Guo, X., Tan, J., Lauzon, M., Taylor, K. D., Loomba, R. S., Cummings, O. W., Pillai, S. G., Bhatnagar, P., Kowdley, K. V., et al. (2019) · Hepatology Communications · doi:10.1002/hep4.1439 · Cited by 19 · see citing works

The ACE Gene Is Associated with Late-Life Major Depression and Age at Dementia Onset in a Population-Based Cohort

Zettergren, A., Kern, S., Gustafson, D., Gudmundsson, P., Sigström, R., Östling, S., Eriksson, E., Zetterberg, H., Blennow, K., & Skoog, I. G. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.06.009 · Cited by 19 · see citing works

Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Kunkle, B., Grenier-Boley, B., Sims, R., Bis, J., Naj, A., Boland, A., Vronskaya, M., van der Lee, S., Amlie-Wolf, A., Bellenguez, C., et al. (2018) · doi:10.1101/294629 · Cited by 35 · see citing works

Evaluating the association between genetically proxied ACE inhibition and dementias

Nassan, M. M., Daghlas, I., Piras, I. S., Rogalski, E. J., Reus, L. M., Pijnenburg, Y. A. L., Cuddy, L. K., Saxena, R., Mesulam, M. M., & Huentelman, M. J. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13062 · Cited by 16 · see citing works

Expanding the Repertoire of Biomarkers for Alzheimer’s Disease: Targeted and Non-targeted Approaches

Galasko, D. R. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00256 · Cited by 18 · see citing works

Genome-wide study of immune biomarkers in cerebrospinal fluid and serum from patients with bipolar disorder and controls

Zhang, R.-Y., Song, J., Isgren, A., Jakobsson, J., Blennow, K., Sellgren, C., Zetterberg, H., Bergen, S. L., & Landén, M. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0737-6 · Cited by 17 · see citing works

Plasma immunological markers in pregnancy and cord blood: A possible link between macrophage chemo‐attractants and risk of childhood type 1 diabetes

Vistnes, M., Tapia, G., Mårild, K., Midttun, Ø., Ueland, P. M., Viken, M. K., Magnus, P. M., Berg, J. P., Gillespie, K. M., Skrivarhaug, T., et al. (2017) · American Journal of Reproductive Immunology · doi:10.1111/aji.12802 · Cited by 17 · see citing works

Atypical chemokine receptor ACKR2-V41A has decreased CCL2 binding, scavenging, and activation, supporting sustained inflammation and increased Alzheimer’s disease risk

Murcia, J. D. G., Weinert, A., Freitas, C. M. T., Arens, D. K., Ferrel, M., Grose, J. H., Ridge, P. G., Wilson, E., Kauwe, J. S. K., & Weber, K. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-64755-1 · Cited by 16 · see citing works

Gene Set Index Based on Different Modules May Help Differentiate the Mechanisms of Alzheimer’s Disease and Vascular Dementia

Zhou, F., Chen, D., Chen, G., Liao, P., Li, R., Nong, Q., Meng, Y., Zou, D., & Li, X. (2021) · Clinical Interventions in Aging · doi:10.2147/cia.s297483 · Cited by 15 · see citing works

The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach

Ruffini, N., Klingenberg, S., Heese, R., Schweiger, S., & Gerber, S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.866886 · Cited by 14 · see citing works

Functional intronic variant of SLC 5A10 affects DRG 2 expression and survival outcomes of early‐stage non‐small‐cell lung cancer

Hong, M. J., Yoo, S. S., Choi, J. E., Kang, H., Do, S. K., Lee, J. H., Lee, W. K., Lee, J., Lee, S. Y., Ick, S., et al. (2018) · Cancer Science · doi:10.1111/cas.13814 · Cited by 13 · see citing works

A call for comparative effectiveness research to learn whether routine clinical care decisions can protect from dementia and cognitive decline

Dacks, P. A., Armstrong, J. J., Brannan, S. K., Carman, A. J., Green, A. M., Kirkman, M. S., Krakoff, L. R., Kuller, L. H., Launer, L. J., Lovestone, S., et al. (2016) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0200-3 · Cited by 12 · see citing works

Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias

Hu, W. T., Nayyar, A., & Kaluzová, M. (2023) · Neurotherapeutics · doi:10.1007/s13311-023-01370-8 · Cited by 11 · see citing works

Degree of genetic liability for Alzheimer's disease associated with specific proteomic profiles in cerebrospinal fluid

Reus, L. M., Stringer, S., Posthuma, D., Teunissen, C. E., Scheltens, P., Pijnenburg, Y. A. L., Visser, P. J., & Tijms, B. M. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.03.012 · Cited by 11 · see citing works

Systematic Search for Novel Circulating Biomarkers Associated with Extracellular Vesicles in Alzheimer’s Disease: Combining Literature Screening and Database Mining Approaches

Vogrinc, D., Goričar, K., Kunej, T., & Dolžan, V. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11100946 · Cited by 11 · see citing works

Role of Chrononutrition in the Antihypertensive Effects of Natural Bioactive Compounds

Ibarz-Blanch, N., Morales, D., Calvo, E., Ros-Medina, L., Muguerza, B., Bravo, F. I., & Suárez, M. (2022) · Nutrients · doi:10.3390/nu14091920 · Cited by 11 · see citing works

Neurovascular Dysfunction in Alzheimer Disease

Cipollini, V., Sette, G., Bossù, P., Ciaramella, A., Salani, F., Carolis, A. D., Troili, F., Orzi, F., & Giubilei, F. (2019) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000331 · Cited by 10 · see citing works

Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes

Ravn, K., Cobuccio, L., Muktupavela, R., Meisner, J., Danielsen, L. S., Benros, M. E., Korneliussen, T. S., Sikora, M., Willerslev, E., Allentoft, M. E., et al. (2025) · Cell · doi:10.1016/j.cell.2025.04.015 · Cited by 8 · see citing works

Genome‐ and epigenome‐wide studies of plasma protein biomarkers for Alzheimer's disease implicate TBCA and TREM2 in disease risk

Hillary, R. F., Gadd, D. A., McCartney, D. L., Shi, L., Campbell, A., Walker, R. M., Ritchie, C. W., Deary, I. J., Evans, K. L., Nevado‐Holgado, A. J., et al. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12280 · Cited by 10 · see citing works

Detecting fitness epistasis in recently admixed populations with genome-wide data

Ni, X., Zhou, M., Wang, H., He, K., Broeckel, U., Hanis, C. L., Kardia, S. L. R., Redline, S. S., Cooper, R., Tang, H., et al. (2020) · BMC Genomics · doi:10.1186/s12864-020-06874-7 · Cited by 7 · see citing works

InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies

Bae, Y. E., Wu, L., & Wu, C. (2021) · Genetic Epidemiology · doi:10.1002/gepi.22425 · Cited by 7 · see citing works

Limitaciones de la complejidad en las Ciencias Ómicas: simplificación epistemológica en el abordaje de enfermedades

Delvitto, A., & Lavagnino, N. (2023) · Principia an international journal of epistemology · doi:10.5007/1808-1711.2023.e85523 · Cited by 6 · see citing works

SDS3 regulates microglial inflammation by modulating the expression of the upstream kinase ASK1 in the p38 MAPK signaling pathway

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Relationship between cytokine levels in the cerebrospinal fluid and 11C‐Pittsburgh compound B retention in patients with mild cognitive impairment

Abe, Y., Kimura, N., Takahashi, R., Gotou, M., Mizukami, K., Uchida, H., & Matsubara, E. (2017) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12991 · Cited by 5 · see citing works

Genetic Variants and Related Biomarkers in Sporadic Alzheimer’s Disease

Guerreiro, R. J., Brás, J., Toombs, J., Heslegrave, A., Hardy, J., & Zetterberg, H. (2014) · Current Genetic Medicine Reports · doi:10.1007/s40142-014-0062-6 · Cited by 5 · see citing works

Haplotypic variants of COVID‐19 related genes are associated with blood pressure and metabolites levels

Gholami, M., Zoughi, M., Hasanzad, M., Larijani, B. A., & Amoli, M. M. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28355 · Cited by 4 · see citing works

Testing the Neuroprotective Properties of PCSO-524® Using a Neuronal Cell Cycle Suppression Assay

Zhu, B., Zhang, Y., & Herrup, K. (2019) · Marine Drugs · doi:10.3390/md17020079 · Cited by 5 · see citing works

Commentary: Using human genetics to guide the repurposing of medicines

Bovijn, J., Censin, J. C., Lindgren, C. M., & Holmes, M. V. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa015 · Cited by 5 · see citing works

Connecting dementia risk loci to the CSF proteome identifies pathophysiological leads for dementia

Reus, L. M., Jansen, I. E., Tijms, B. M., Visser, P. J., Tesi, N., van der Lee, S. J., Vermunt, L., Peeters, C. F. W., Groot, L. A. D., Hok‐A‐Hin, Y. S., et al. (2024) · Brain · doi:10.1093/brain/awae090 · Cited by 5 · see citing works

Associations among Angiotensin-Converting Enzyme, Neuroinflammation, and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease in Non-Dementia Adults

Wang, L.-Y., Hu, H., Sheng, Z.-H., Ou, Y., Ou, Y., Guo, F., Zhu, Y.-K., Tan, L., & Initiative, A. D. N. (2025) · Neurotoxicity Research · doi:10.1007/s12640-025-00740-8 · Cited by 4 · see citing works

O4–01–01: Association of genetic variants with cerebrospinal fluid protein levels of ACE, MMP3 and other proteins and risk for Alzheimer's disease

Kauwe, J. S. K., Bailey, M. H., Ridge, P. G., Cruchaga, C., Foutz, S. J., Perry, R., Harari, O., Bertelsen, S. E., Ainscough, B. J., Bales, K. R., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.04.334 · Cited by 1 · see citing works

P4‐453: Genome‐wide association analysis using cerebrospinal fluid Abeta42 levels as an endophenotype for Alzheimer's disease

Kauwe, J. S. K., Cruchaga, C., McKean, D., Bailey, M. H., Patty, D., Mayo, K., Bertelsen, S. E., Hinrichs, A. L., Initiative, T. A. D. N., Fagan, A. M., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.09.148

Genome-wide association reveals genetic effects on human Aβ 42 and τ protein levels in cerebrospinal fluids: a case control study

Han, M.-R., Schellenberg, G. D., Wang, L.-S., & Initiative, T. A. D. N. (2010) · BMC Neurology · doi:10.1186/1471-2377-10-90 · Cited by 93 · see citing works

P1‐223: Genome‐Wide Association Analyses Using Cerebrospinal Fluid Tau and Phospho‐Tau Levels As An Endophenotype for Alzheimer's Disease

Cruchaga, C., Kauwe, J. S. K., Mayo, K., Bertelsen, S. E., Hinrichs, T., Initiative, A. D. N., Peskind, E. R., Li, G., Leverenz, J. B., Galasko, D. R., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.503

S1‐01‐05: Genome‐wide association studies of CSF biomarkers

Kauwe, J. S. K., Cruchaga, C., McKean, D., Bailey, M. H., Patty, D., Mayo, K., Bertelsen, S. E., Hinrichs, A. L., The Alzheimer's Disease Genetics Consortium, Fagan, A. M., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.202