Cited by 19

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

An interim exploratory proteomics biomarker analysis of a phase 2 clinical trial to assess the impact of CT1812 in Alzheimer's disease

Lizama, B.N., North, H.A., Pandey, K., Williams, C., Duong, D., Cho, E., Di Caro, V., Ping, L., Blennow, K., Zetterberg, H., Lah, J., Levey, A.I., Grundman, M., Caggiano, A.O., Seyfried, N.T., Hamby, M.E.·2024·Neurobiology of Disease

Published version of a preprint

Abstract

CT1812 is a novel, brain penetrant small molecule modulator of the sigma-2 receptor (S2R) that is currently in clinical development for the treatment of Alzheimer's disease (AD). Preclinical and early clinical data show that, through S2R, CT1812 selectively prevents and displaces binding of amyloid beta (Aβ) oligomers from neuronal synapses and improves cognitive function in animal models of AD. SHINE is an ongoing phase 2 randomized, double-blind, placebo-controlled clinical trial (COG0201) in participants with mild to moderate AD, designed to assess the safety and efficacy of 6 months of CT1812 treatment. To elucidate the mechanism of action in AD patients and pharmacodynamic biomarkers of CT1812, the present study reports exploratory cerebrospinal fluid (CSF) biomarker data from 18 participants in an interim analysis of the first set of patients in SHINE (part A). Untargeted mass spectrometry-based discovery proteomics detects >2000 proteins in patient CSF and has documented utility in accelerating the identification of novel AD biomarkers reflective of diverse pathophysiologies beyond amyloid and tau, and enabling identification of pharmacodynamic biomarkers in longitudinal interventional trials. We leveraged this technique to analyze CSF samples taken at baseline and after 6 months of CT1812 treatment. Proteome-wide protein levels were detected using tandem mass tag-mass spectrometry (TMT-MS), change from baseline was calculated for each participant, and differential abu…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.nbd.2024.106575

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 43

  1. Ashton, 2022, Differential roles of Aβ42/40, p-tau231 and p-tau217 for Alzheimer’s trial selection and disease monitoring, Nat. Med., 28, 2555, 10.1038/s41591-022-02074-w · DOI · Paper page
  2. Badhwar, 2020, Biomarker potential of brain-secreted extracellular vesicles in blood in Alzheimer’s disease, Alzheimer’s Dement., 12
  3. Beeg, 2016, Clusterin binds to Aβ1-42 oligomers with high affinity and interferes with peptide aggregation by inhibiting primary and secondary nucleation, J. Biol. Chem., 291, 6958, 10.1074/jbc.M115.689539 · DOI
  4. Bergström, 2021, Multi-cohort profiling reveals elevated CSF levels of brain-enriched proteins in Alzheimer’s disease, Ann. Clin. Transl. Neurol., 8, 1456, 10.1002/acn3.51402 · DOI
  5. Bertrand, 1995, Association of apolipoprotein E genotype with brain levels of apolipoprotein E and apolipoprotein J (clusterin) in Alzheimer disease, Brain Res. Mol. Brain Res., 33, 174, 10.1016/0169-328X(95)00097-C · DOI · Paper page
  6. Blennow, 2018, Biomarkers for Alzheimer’s disease: current status and prospects for the future, J. Intern. Med., 284, 643, 10.1111/joim.12816 · DOI · Paper page
  7. Blennow, 2019, Fluid biomarker-based molecular phenotyping of Alzheimer’s disease patients in research and clinical settings, Prog. Mol. Biol. Transl. Sci., 168, 3, 10.1016/bs.pmbts.2019.07.006 · DOI
  8. Blennow, 1994, Cerebrospinal fluid apolipoprotein E is reduced in Alzheimer’s disease, Neuroreport, 5, 2534, 10.1097/00001756-199412000-00032 · DOI
  9. Budd Haeberlein, 2022, Two randomized phase 3 studies of Aducanumab in early Alzheimer’s Disease, J. Prev Alzheimers Dis., 10.14283/jpad.2022.30 · DOI · Paper page
  10. Chang, 1997, Dendritic translocation of RC3/neurogranin mRNA in normal aging, Alzheimer disease and fronto-temporal dementia, J. Neuropathol. Exp. Neurol., 56, 1105, 10.1097/00005072-199710000-00004 · DOI
  11. Colom-Cadena, 2020, The clinical promise of biomarkers of synapse damage or loss in Alzheimer’s disease, Alzheimers Res. Ther., 12, 21, 10.1186/s13195-020-00588-4 · DOI · Paper page
  12. Cummings, 2023, Alzheimer’s disease drug development pipeline: 2023, Alzheimer’s Dement., 9
  13. Goetzl, 2016, Decreased synaptic proteins in neuronal exosomes of frontotemporal dementia and Alzheimer’s disease, FASEB J., 30, 4141, 10.1096/fj.201600816R · DOI · Paper page
  14. Grundman, 2019, A phase 1 clinical trial of the sigma-2 receptor complex allosteric antagonist CT1812, a novel therapeutic candidate for Alzheimer’s disease, Alzheimer’s Dement., 5, 20, 10.1016/j.trci.2018.11.001 · DOI · Paper page
  15. Hoque, 2015, The cross-talk of LDL-cholesterol with cell motility: insights from the Niemann pick type C1 mutation and altered integrin trafficking, Cell Adhes. Migr., 9, 384, 10.1080/19336918.2015.1019996 · DOI
  16. Izzo, 2014, Alzheimer’s therapeutics targeting amyloid beta 1-42 oligomers II: Sigma-2/PGRMC1 receptors mediate Abeta 42 oligomer binding and synaptotoxicity, PLoS ONE, 9
  17. Izzo, 2021, Preclinical and clinical biomarker studies of CT1812: a novel approach to Alzheimer’s disease modification, Alzheimer’s Dement., 17, 1365, 10.1002/alz.12302 · DOI · Paper page
  18. Jahanshad, 2013, Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity, Proc. Natl. Acad. Sci. USA, 110, 4768, 10.1073/pnas.1216206110 · DOI
  19. Kunkle, 2019, Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing, Nat. Genet., 51, 414, 10.1038/s41588-019-0358-2 · DOI · Paper page
  20. LaBarbera, 2023, A phase 1b randomized clinical trial of CT1812 to measure Aβ oligomer displacement in Alzheimer’s disease using an indwelling CSF catheter, Transl. Neurodegener., 12, 24, 10.1186/s40035-023-00358-w · DOI · Paper page
  21. Lambert, 2009, Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease, Nat. Genet., 41, 1094, 10.1038/ng.439 · DOI · Paper page
  22. Laser-Azogui, 2015, Neurofilament assembly and function during neuronal development, Curr. Opin. Cell Biol., 32, 92, 10.1016/j.ceb.2015.01.003 · DOI
  23. Lee, 2008, Neuro-inflammation induced by lipopolysaccharide causes cognitive impairment through enhancement of beta-amyloid generation, J. Neuroinflammation, 5, 37, 10.1186/1742-2094-5-37 · DOI · Paper page
  24. Levey, 2022, A phase II study repurposing atomoxetine for neuroprotection in mild cognitive impairment, Brain, 145, 1924, 10.1093/brain/awab452 · DOI
  25. Lu, 2017, Association of HLA-DRB1 polymorphism with Alzheimer’s disease: a replication and meta-analysis, Oncotarget, 8, 93219, 10.18632/oncotarget.21479 · DOI · Paper page
  26. Maier, 2008, Complement C3 deficiency leads to accelerated amyloid plaque deposition and neurodegeneration and modulation of the microglia/macrophage phenotype in amyloid precursor protein transgenic mice, J. Neurosci., 28, 6333, 10.1523/JNEUROSCI.0829-08.2008 · DOI · Paper page
  27. Modeste, 2023, Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease, Mol. Neurodegener., 18, 48, 10.1186/s13024-023-00638-z · DOI
  28. Narayan, 2011, The extracellular chaperone clusterin sequesters oligomeric forms of the amyloid-β(1-40) peptide, Nat. Struct. Mol. Biol., 19, 79, 10.1038/nsmb.2191 · DOI
  29. Nielsen, 2010, Astrocytic a beta 1-42 uptake is determined by a beta-aggregation state and the presence of amyloid-associated proteins, Glia, 58, 1235, 10.1002/glia.21004 · DOI
  30. Park, 2016, Integrins in synapse regulation, Nat. Rev. Neurosci., 17, 745, 10.1038/nrn.2016.138 · DOI · Paper page
  31. Park, 2018, Models of synaptotagmin-1 to trigger Ca2+ -dependent vesicle fusion, FEBS Lett., 592, 3480, 10.1002/1873-3468.13193 · DOI
  32. Parkin, 2007, Cellular prion protein regulates beta-secretase cleavage of the Alzheimer’s amyloid precursor protein, Proc. Natl. Acad. Sci. USA, 104, 11062, 10.1073/pnas.0609621104 · DOI
  33. Pietri, 2013, PDK1 decreases TACE-mediated α-secretase activity and promotes disease progression in prion and Alzheimer’s diseases, Nat. Med., 19, 1124, 10.1038/nm.3302 · DOI
  34. Ping, 2018, Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease, Sci. Data, 5, 10.1038/sdata.2018.36 · DOI · Paper page
  35. Prichard, 1999, Interactions between neurogranin and calmodulin in vivo, J. Biol. Chem., 274, 7689, 10.1074/jbc.274.12.7689 · DOI
  36. Shepherd, 2020, Intracellular and secreted forms of clusterin are elevated early in Alzheimer’s disease and associate with both Aβ and tau pathology, Neurobiol. Aging, 89, 129, 10.1016/j.neurobiolaging.2019.10.025 · DOI
  37. Szklarczyk, 2023, The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest, Nucleic Acids Res., 51, D638, 10.1093/nar/gkac1000 · DOI · Paper page
  38. Tijms, 2024, Cerebrospinal fluid proteomics in patients with Alzheimer’s disease reveals five molecular subtypes with distinct genetic risk profiles, Nat. Aging, 4, 33, 10.1038/s43587-023-00550-7 · DOI
  39. van Dyck, 2023, Lecanemab in early Alzheimer’s disease, N. Engl. J. Med., 388, 9, 10.1056/NEJMoa2212948 · DOI · Paper page
  40. van Dyck, 2024, A pilot study to evaluate the effect of CT1812 treatment on synaptic density and other biomarkers in Alzheimer’s disease, Alzheimers Res. Ther., 16, 20, 10.1186/s13195-024-01382-2 · DOI · Paper page
  41. Watson, 2023, Quantitative mass spectrometry analysis of cerebrospinal fluid protein biomarkers in Alzheimer’s Disease, Sci. Data, 10, 261, 10.1038/s41597-023-02158-3 · DOI
  42. Winston, 2016, Prediction of conversion from mild cognitive impairment to dementia with neuronally derived blood exosome protein profile, Alzheimer’s Dement., 3, 63
  43. Winston, 2018, Growth hormone-releasing hormone modulation of neuronal exosome biomarkers in mild cognitive impairment, J. Alzheimers Dis., 66, 971, 10.3233/JAD-180302 · DOI

Cited by

Sorted by citations

Metadata

Authors
Lizama, B. N., North, H. A., Pandey, K., Williams, C., Duong, D., Cho, E., Di Caro, V., Ping, L., Blennow, K., Zetterberg, H., Lah, J., Levey, A. I., Grundman, M., Caggiano, A. O., Seyfried, N. T., & Hamby, M. E.
Venue
Neurobiology of Disease
Publisher
Elsevier BV
Published
2024-09
Volume
199
Pages
106575
ISSN
0969-9961
Cited by
19
References
16
Language
en
Funders
  • ADDF
  • NIA

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