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27 citation(s) found for "Cook, Casey".

Evaluating MAPT p.A152T as a risk factor for the 3R tauopathy Pick’s disease
Tamvaka, Nicole , Scotton, William J. , Lilley, Meredith T. , Shoai, Maryam , Gavrielatos, Marios , HECKMAN, M, Roemer, Shanu F, Baker, Matthew C, Rademakers, Rosa, Hardy, John , Cook, Casey , Lashley, Tammaryn , Jaunmuktane, Zane, Mok, Kin, Revesz, Tamas, Christopher, Elizabeth, DeTure, Michael, Koga, Shunsuke, Graff-Radford, Neill R, Boeve, Bradley F, Josephs, Keith A. , Petersen, Ronald C, Whitwell, Jennifer , Duara, Ranjan, Lyons, Kelly E, Miller, Bruce, Schlereth, Athena, Spina, Salvatore, Irwin, David J, Wolk, David A, Suh, EunRan, Deerlin, Vivianna M Van, Lee, Edward B, Frosch, Matthew P. , Molina-Porcel, Laura, Aldecoa, Iban, Balasa, Mircea, Borrego-Ecija, Sergi, Sanchez-Valle, Raquel, Gascón‐Bayarri, Jordi , Sanz-Cartagena, Pilar , Huélamo, Rosa Maria de Eugenio, Gefen, Tamar, Castellani, Rudolph J, Rogalskı, Emily , Weıntraub, Sandra , Bieniek, Kevin F, Zhu, Xiongwei, Redding-Ochoa, Javier, Troncoso, Juan C. , Ghetti, Bernardino, Newell, Kathy L. , Jacobsen, Max, Roncaroli, Federico, Jones, Matthew, Richardson, Anna, Snowden, Julie, Allinson, Kieren, Beach, Thomas G, Teich, Andrew F, Flowers, Xena, Heaps, Allison C, Leskinen, Sandra , Keith, Julia , Masellis, Mario, King, Andrew, Sarraj, Safa-Al, Hodges, John R. , Gearing, Marla , Roeber, Sigrun, Attems, Johannes, Boluda, Susana , Seilhean, Danielle, Ber, Isabelle Le, Turbant-Leclere, Sabrina, Mackenzie, Ian R. , Sieben, Anne, Cras, Patrick , Vil, Bart B De, Deyn, P P De, Keene, C Dirk, Latimer, Caitlin S. , Schantz, Aimee, Bird, Thomas D, Haroutunian, Vahram, Purohit, Dushyant, Rissman, Robert, Cykowski, Matthew D. , Wang, Shih-Hsiu J, Ervin, John F. , Nennesmo, Inger , Nagra, Rashed M. , Riehl, James, Kovacs, Gabor G, Neumann, Manuela, Ang, Lee-Cyn, Cunha, Cristina, Blauwendraat, Cornelis , Nalls, Mike A., Singleton, Andrew B, Perrin, Richard J. , Chaffee, Anne M, Scotton, William , Murray, Melissa E , Dickson, Dennis W , Ross, Owen A , Hardy, John , Shoai, Maryam , Lashley, Tammaryn , Heckman, Michael G. , Soto‐Beasley, Alexandra I. , Roemer, Shanu F. , Rademakers, Rosa , Murray, Melissa E. , Dickson, Dennis W. , Rohrer, Jonathan D. , Ross, Owen A. , Valentino, Rebecca R. , Macpherson, Hannah L. , Warner, Thomas T. , Jaunmuktane, Zane , Martínez-Carrasco, Alejandro , Revesz, Tamas, DeTure, Michael , Koga, Shunsuke , Graff‐Radford, Neill R. , Boeve, Bradley F. , Petersen, Ronald C. , Duara, Ranjan, Pahwa, Rajesh , Grinberg, Lea T. , Seeley, William W. , Miller, Bruce L , Spina, Salvatore , Suh, EunRan , Deerlin, Vivianna M. Van , Connors, Theresa R. , Oakley, Derek H. , Molina‐Porcel, Laura , Aldecoa, Ibán , Balasa, Mircea , Borrego‐Écija, Sergi , Sánchez‐Valle, Raquel , Piñol‐Ripoll, Gerard , Gelpí, Ellen , Gefen, Tamar , Castellani, Rudolph J. , Flanagan, Margaret E. , Schneider, Julie A. , Bieniek, Kevin F. , Redding‐Ochoa, Javier , Chang, Koping , Prokop, Stefan , Ghetti, Bernardino, Robinson, Andrew , Roncaroli, Federico , Kobylecki, Christopher , Richardson, Anna, Rowe, James B. , Quaegebeur, Annelies , Allinson, Kieren Simon James, Beach, Thomas G. , Serrano, Geidy E. , Teich, Andrew F. , Black, Sandra E. , Masellis, Mario, Troakes, Claire , Halliday, Glenda M. , Kril, Jillian J. , Kwok, John B. , Piguet, Olivier , Morris, Christopher M. , Thomas, Alan , White, Charles L. , Evers, Bret M. , Mechawar, Naguib , Seilhean, Danielle , Ber, Isabelle Le , Leclère-Turbant, Sabrina, Vil, Bart De , Deyn, Peter Paul De , Keene, C Dirk, Haroutunian, Vahram , Purohit, Dushyant P. , Walker, Jamie M. , Rissman, Robert A. , McLean, Catriona , Graff, Caroline , Riehl, James R. , Giaccone, Giorgio , Neumann, Manuela , Finger, Elizabeth C. , Carvalho, Agostinho , Morris, Huw R. , Singleton, Andrew B, Vitale, Dan , Chaffee, Ann, Wszołek, Zbigniew K.

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Brain Communications | July 9, 2026 | Volume: 8 | Issue: 4 | Pages: No page available

10.1093/braincomms/fcag266 | PMID 42553595 Get It

Abstract Genetic studies have significantly advanced our understanding of tauopathies, yet the genetic aetiology of Pick’s disease, a rare 3-Repeat tauopathy, remains unclear. The MAPT p.A152T variant has been identified as a risk factor for Alzheimer’s disease and progressive supranuclear palsy, but its role in Pick’s disease is unknown. In this study, we examined the prevalence of MAPT p.A152T in the largest series of neuropathologically confirmed Pick’s disease cases to date (n = 401). Through genotyping, we identified a single mutation carrier in the Pick’s disease cohort (minor allele frequency = 0.12%). We previously reported MAPT p.A152T at a 0.20% frequency in healthy controls (n = 2456), suggesting that it does not associate with 3-Repeat tauopathy risk. To further investigate the effect of the variant on MAPT transcript expression, we used bulk RNA sequencing in Alzheimer’s disease and progressive supranuclear palsy A152T mutation carriers. We did not detect significant differences in 4-Repeat tau levels, though preliminary trends may indicate more nuanced effects that need to be examined with long-read sequencing in a larger series. Overall, our study suggests that MAPT p.A152T does not increase Pick’s disease risk and may instead be linked to 4-Repeat or mixed tau pathologies, warranting further functional investigation.
TDP-43 subtypes shape transcriptomic signatures in Alzheimer’s disease
Wang, Xiaojie, Reeves, Madison M, Bejarano, Jesús González , Song, Yuping , Dunmore, Judy, Yue, Mei, Rawlinson, Bailey, DeTure, Michael, Tome, Raul Baena, Narayan, Anand, Bartfield, Jordan, Graff‐Radford, Neill R. , Peterson, Ronald C. , Oskarsson, Björn, Murray, Melissa E, Dickson, DW, Cook, Casey, Zhang, Yongjie, Petrucelli, Leonard , Josephs, Keith A, Walker, Alyssa C. , Reeves, Madison M., Dunmore, Judy H., Yue, Mei, Rawlinson, Bailey, Engelberg-Cook, Erica , DeTure, Michael , Narayan, Anand, Boeve, Bradley F. , Knopman, David S. , Day, Gregory S. , Murray, Melissa E. , Dickson, Dennis W. , Josephs, Keith A. , Prudencio, Mercedes

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No container title available | June 26, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.06.22.733827 | PMID 42395416 Get It

Abstract TAR DNA-binding protein 43 (TDP-43) pathology frequently co-occurs with Tau neurofibrillary tangles (NFTs) and amyloid β plaques in Alzheimer’s disease (AD), driving significant clinical heterogeneity. Whether TDP-43 engages autonomous molecular programs or instead amplifies Tau-driven neurodegeneration remains difficult to resolve, largely because these pathologies often co-occur. To separate these overlapping signatures, we generated regionally resolved transcriptomic profiles from cognitively normal controls (Controls), neuropathologically defined cohorts of AD, AD with limbic-predominant age-related TDP-43 encephalopathy (AD/LATE), and frontotemporal lobar degeneration (FTLD-TDP), categorizing them by their distinct TDP-43 subtypes (types α and β for AD/LATE; types A and B for FTLD-TDP). By integrating transcriptomic profiles with quantitative measures of phosphorylated TDP-43 (pTDP-43) and Tau (pTau), we separated pathology-associated signals within mixed disease contexts. We found that TDP-43 is linked to distinct transcriptomic programs in AD/LATE that are largely uncoupled from Tau burden and diverge from those observed in FTLD-TDP. These signatures showed regional specificity, with transcriptomic remodeling occurring in the amygdala across both diseases, whereas frontal cortex alterations were largely restricted to FTLD-TDP. Furthermore, by stratifying cases by TDP-43 morphological subtype, we unmasked specific biological trajectories, from immune activation to unique cellular vulnerabilities, that are not apparent in unstratified cohorts. Together, our findings provide a framework for decoupling mixed proteinopathies and demonstrate that TDP-43 shapes autonomous, subtype-dependent transcriptional landscapes in AD.
Clinical Associations of Cerebrospinal Fluid TMEM106B in Familial and Sporadic Frontotemporal Dementia
Olzinski, Molly, Downer, Joshua, Rajbanshi, Binita, Li, Jingyao, Loureiro, Joseph, Heuer, Hilary, Ljubenkov, Peter, Vandevrede, Lawren, Staffaroni, Adam, Lario‐Lago, Argentina, Leichter, Dana, Wolf, Amy, Wise, Amy, Sanderson-Cimino, Mark, Barragan, Eden, Spina, S, Grinberg, Lea T., Seeley, William W., Casaletto, Kaitlin B., Kramer, Joel, Ramos, Eilana, Geschwind, Daniel, Cook, Casey, Petrucelli, L, Forsberg, Leah K., Gendron, Tania, Boeve, Bradley F., Rademakers, Rosa, Rosen, Howard J., Saloner, Rowan, Boxer, Adam L., Rojas, Julio C., Abdullah, M. Samy, Apostolova, Liana, Appleby, Brian, Bayram, Ece, Hp, Botha, Bozoki, Andrea, Brushaber, Danielle, Clark, David, Considine, Ciaran M., Darby, R. Ryan, Day, Gregory S., Dickerson, Bradford C., Dickson, Dennis, Domoto-Reilly, Kimiko, Dwosh, Emily, Faber, Kelley M., Fields, Julie A. , Fong, Jamie C., Foroud, Tatiana, Galasko, Douglas R., Gavrilova, Ralitza, Ghoshal, Nupur , Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill, Grant, Ian M., Cn, Hales, Honig, Lawrence S., Gd, Hsiung, Huey, Edward D, Irwin, David, Jones, David T., Kantarci, Kejal, Knopman, David, Kolander, Tyler , Kornak, J M, Kremers, W., Kwan, Justin , Lapid, Maria, Lee, Suzee, Litvan, Irene, Lucente, Diane, Mackenzie, Ian R., Masdeu, J C, Massimo, Lauren, McGinnis, Scott, McMillan, Corey T., Mendez, Mario F., Mester, Carly, Miyagawa, Toji , Molden, Joie, Onyike, Chiadi, Pantelyat, Alexander, Pascual, Belen, Paulson, Henry, Ramanan, Vijay, Rankin, Katherine P., Rascovsky, Katya, Rhoads, Kristoffer , Savica, Rodolfo, Snyder, Allison, Sullivan, A. Campbell, Syrjanen, Jeremy, Tartaglia, M, Taylor, Jack, Tipton, P E, WEINTRAUB, S, Wint, Dylan, Wong, Bonnie, Yokoyama, Jennifer, Paulson, Henry L. , Barmada, Sami J. , Paulson, Henry L , Barmada, Sami , Cobigo, Yann , Worringer, Kathleen A. , Heuer, Hilary W. , VandeVrede, Lawren , Staffaroni, Adam M. , Wolf, Amy , Wise, Amy B. , Sanderson‐Cimino, Mark , Barragan, Eden V. , Grinberg, Lea T. , Seeley, William W. , Casaletto, Kaitlin B. , Kramer, Joel, Ramos, Eliana Marisa , Geschwind, Daniel H. , Forsberg, Leah K. , Gendron, Tania F. , Boeve, Bradley F. , Perneel, Jolien , Rademakers, Rosa , Rosen, Howard J. , Saloner, Rowan , Boxer, Adam L. , Rojas, Julio C. , Appleby, Brian S. , Barmada, Sami, Bayram, Ece , Botha, Hugo, Bozoki, Andrea C , Brushaber, Danielle , Clark, David, Considine, Ciaran , Dickerson, Bradford Clark , Dickson, Dennis, Domoto‐Reilly, Kimiko , Dwosh, Emily , Foroud, Tatiana, Graff‐Radford, Jonathan , Graff-Radford, Neill, Hales, Chadwick M., Honig, Lawrence S. , Hsiung, Ging-Yuek R., Huey, Edward D. , Jones, David T., Kantarci, Kejal , Kornak, John , Kremers, Walter, Kwan, Justin, Léger, Gabriel C. , Litvan, Irene , Lucente, Diane , Mackenzie, Ian R. , Massimo, Lauren , McGinnis, Scott, McMillan, Corey T. , Mendez, Mario F. , Mester, Carly , Pascual, Belén , Ramanan, Vijay, Rankin, Katherine P. , Roberson, Erik D. , Savica, Rodolfo , Snyder, Allison , Sullivan, A. Campbell , Syrjanen, Jeremy A. , Taylor, Jack C. , Tipton, Philip W., Vandebergh, Marijne , Weıntraub, Sandra , Wint, Dylan

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JAMA Neurology | June 22, 2026 | Volume: 83 | Issue: 8 | Pages: 778

10.1001/jamaneurol.2026.1927 | PMID 42329632 Get It

Importance TMEM106B is a frontotemporal lobar degeneration (FTLD) genetic susceptibility factor, and TMEM106B protein aggregates are a feature of aging and neurodegeneration. Whether TMEM106B protein levels are associated with clinical features is unknown. Objective To investigate the clinical associations of cerebrospinal fluid (CSF) TMEM106B in FTLD. Design, Setting, and Participants This cross-sectional study was conducted in 2 independent frontotemporal dementia (FTD) cohorts (recruitment from April 2009 through July 2023, with analyses from January 2025 through April 2026), with a 2-year follow up. This multicenter clinical study integrated clinical, genetic, biomarker, and neuroimaging data. Individuals were recruited through the University of California, San Francisco (n = 3733), or ALLFTD (n = 2343). Participants with available CSF were included. A discovery cohort (n = 271) included participants with sporadic neuropathology-confirmed FTLD; presymptomatic or symptomatic carriers of pathogenic variants in C9orf72 , GRN , or MAPT ; or controls. An independent validation cohort (n = 383) included participants with clinically diagnosed sporadic FTD, Alzheimer disease (AD), and controls. Exposures CSF samples for TMEM106B quantification with aptamer proteomics (SomaScan version 3.0 [discovery cohort] and SomaScan version 4.1 [validation cohort]). Main Outcomes and Measures Parametric tests compared the primary outcome, CSF TMEM106B, by disease severity, TMEM106B rs1990622 genotype, sex, clinical syndrome, pathological diagnosis, and pathogenic variant and determined associations with brain volume. Results In the discovery (n = 271; 136 women [51%]; median [IQR] age, 59 [38-80] years) and validation (n = 383; 183 women [48%]; median [IQR] age, 64 [50-78] years) cohorts, lower CSF TMEM106B was associated with more severe disease (β, −0.15; 95% CI, −0.24 to −0.04; P = .003), lower frontotemporal brain volumes (β, 0.42; 95% CI, 0.24-0.61; P < .001), and faster clinical progression (β, −2.21; 95% CI, −3.70 to −0.72; P = .001). Associations of TMEM106B with clinical disease severity were independent of those with neurofilament light chain. TMEM106B levels were influenced by TMEM106B rs1990622 genotype, where individuals with the protective G/G genotype had lower levels than the risk A/A genotype. CSF TMEM106B levels did not differentiate between FTLD subtypes or between FTLD and AD. Conclusions and Relevance Per the results of this cross-sectional study, TMEM106B is detectable in CSF and levels reflect disease severity in sporadic and genetic FTLD and AD, but levels are also influenced by the TMEM106B rs1990622 genotype. CSF TMEM106B could support further studies to understand the mechanisms of disease and develop clinical tools in FTLD and other neurodegenerative diseases.
Biochemical and Immunohistochemical Associations of TDP ‐43 and Cryptic RNA With Hippocampal and Amygdala Volumetrics in Alzheimer's Disease
Gatto, Rodolfo G. , Ghayal, Nikhil B , Ayuso, Virginia Estades, Jansen‐West, Karen , Dunmore, Judith A. , Song, Yuping , Yue, Mei, Cook, Casey , DeTure, Michael , Rawlinson, Bailey, Castanedes‐Casey, Monica, Jack, Clifford R., Petersen, Ronald C. , Petrucelli, Leonard, Whitwell, Jennifer L. , Prudencio, Mercedes , Josephs, Keith A. , Youseff, Hossam , Ghayal, Nikhil B , Estades Ayuso, Virginia , Rawlinson, Bailey D, Petersen, Ronald C , Dickson, Dennis W , Whitwell, Jennifer , Josephs, Keith A , Prudencio, Mercedes , Whitwell, Jennifer L , Youssef, Hossam , Castanedes‐Casey, Monica , Jack, Clifford R. , Dickson, Dennis W. , Petrucelli, Leonard

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Annals of Neurology | April 9, 2026 | Volume: 100 | Issue: 1 | Pages: 193-205

10.1002/ana.78223 | PMID 41952326 Get It

Objective Immunohistochemically (IHC) measured transactive response DNA‐binding protein 43 (TDP‐43) inclusions are observed in Alzheimer's disease (AD) and are associated with medial temporal lobe atrophy. Accumulation of cryptic exons occurs in AD in response to TDP‐43 pathology. We aimed to assess relationships between IHC and biochemically measured insoluble TDP‐43 and cryptic exons and assess associations with hippocampal and amygdala volume loss and atrophy rates on magnetic resonance imaging (MRI). Methods Eighty‐one neuropathologically diagnosed AD cases were analyzed. For biochemistry, insoluble TDP‐43 was quantified using a Meso‐scale discovery (MSD) immunoassay. IHC‐TDP burden was quantified with digital histopathology. Cryptic RNAs were assessed via quantitative real‐time polymerase chain reaction (qRT‐PCR). Thirty‐eight cases had serial brain MRI. Hippocampal and amygdala volumes were calculated using FreeSurfer. Regression models were used to investigate associations among IHC‐TDP‐43 status/burden, MSD‐TDP status/levels, cryptic RNAs, and hippocampal and amygdala volumes and atrophy rates. Results IHC‐TDP(+) cases exhibited elevated levels of MSD‐TDP and cryptic RNAs ( KCNQ2 , STMN2 , and UNC13A ) and increased MSD‐TDP levels were associated with increased cryptic RNA levels, in the hippocampus and amygdala. IHC‐TDP(+) cases had smaller hippocampal and amygdala volumes compared to IHC‐TDP(−) cases. MSD‐TDP(+) cases had smaller hippocampal volumes and faster amygdala rates of atrophy compared with MSD‐TDP(−) cases. Higher KCNQ2 and UNC13A levels were associated with smaller amygdala volumes. Interpretation MSD‐TDP level is a reliable surrogate for IHC‐based TDP‐43 status. Both TDP‐43 and cryptic RNA levels are associated with reduced medial temporal volumes, suggesting cryptic exons may be playing a role in brain volume loss in AD. ANN NEUROL 2026;100:193–205
Clinical associations of CSF TMEM106B in familial and sporadic frontotemporal lobar degeneration
Olzinski, Molly, Saloner, Rowan, Rajbanshi, Binita, Webb, Julia D, Li, Jingyao, Worringer, Katie, Heuer, Hilary W. , Ljubenkov, Peter A. , Staffaroni, Adam M. , Lago, Argentina Lario , Barragan, Eden V., Ramos, Eliana Marisa , Cook, Casey , Petrucelli, Leonard, Rademakers, Rosa, Boeve, Brad F, Rosen, Howard J., Boxer, Adam L., Cobigo, Yann , Saloner, Rowan , Loureiro, Joseph , VandeVrede, Lawren , Sanderson‐Cimino, Mark , Barragan, Eden V. , Petrucelli, Leonard , Rademakers, Rosa , Rosen, Howard J. , Rojas, Julio C., Boxer, Adam L.

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Alzheimer's & Dementia | December 26, 2025 | Volume: 21 | Issue: S2 | Pages: No page available

10.1002/alz70856_103985 Get It

Abstract Background TMEM106B encodes a lysosomal protein and is a genetic susceptibility factor for frontotemporal lobar degeneration (FTLD). Aptamer‐based proteomics quantifies TMEM106B protein levels in CSF. The associations of CSF TMEM106B with measures of disease severity have not been previously evaluated, and the value of CSF TMEM106B as a clinical biomarker is unknown. Method CSF TMEM106B and NfL protein levels were quantified with aptamer‐based proteomics in participants from two independent cohorts: sporadic FTLD with neuropathology‐confirmed FTLD‐tau and FTLD‐TDP, clinically diagnosed PSP‐Richardson Syndrome, and controls (UCSF MAC, n = 95; mean age = 69 ± 6 yrs; 48% female) and familial FTLD comprised of presymptomatic and symptomatic FTLD mutation carriers with family non‐carrier controls (ALLFTD, n = 179; mean age = 49 ± 13 yrs; 53% female). The association between biomarkers and diverse measures of disease severity, including the CDR®+NACC‐FTLD and CDR®+NACC‐FTLD sum of boxes, were determined with linear regressions or mixed linear models. Associations with brain volumes were determined within the framework of voxel‐based morphometry. Result In both cohorts, at baseline, CSF TMEM106B did not differ by sex, age, FTLD phenotype, or CSF NfL. CSF TMEM106B was lower in cases with worse disease severity (Figure 1) and in participants with the protective TMEM106B rs1990622 G/G genotype, regardless of pathological diagnosis or FTLD‐causing mutation. Low CSF TMEM106B was associated with more severe longitudinal worsening in FTLD disease severity (Figure 2), basic and instrumental function, global cognition, executive function, and depression scores. These associations were weaker than those of NfL. Low CSF TMEM106B was associated with low brain volumes in frontal, parietal, and temporal regions (FWE‐corrected p < 0.05) (Figure 3A). CSF NfL negatively correlated (FWE‐corrected p < 0.05) with brain volumes in frontotemporal regions (Figure 3B). Conclusion CSF TMEM106B concentrations are influenced by the TMEM106B rs1990622 genotype, and correlate with disease severity and brain volume in both genetic and sporadic FTLD. Lower levels of CSF TMEM106B correlate with more severe disease and brain atrophy. Disease severity is more strongly associated with CSF NfL, while brain volumes are more strongly associated with CSF TMEM106B. CSF TMEM106B may have value as a biomarker of neurodegeneration in FTLD.
Mis-spliced transcripts generate de novo proteins in TDP-43–related ALS/FTD
Seddighi, Sahba , Qi, Yue , Brown, Anna‐Leigh , Wilkins, Oscar G. , Bereda, Colleen , Belair, Cédric , Zhang, Yong‐Jie , Prudencio, Mercedes , Keuss, Matthew J. , Khandeshi, Aditya J , Pickles, Sarah , Hill, Sarah E. , Hawrot, James , Ramos, Daniel M. , Roberts, Jessica P. , Sacramento, Erika Kelmer , Shah, Syed Islamuddin , Nalls, Mike A., Colon, J , Reyes, Joel F. , Ryan, Veronica H. , Nelson, Matthew P. , Cook, Casey , Screven, Laurel A. , Kwan, Justin , Mehta, Puja R. , Zanovello, Matteo , Shantaraman, Anantharaman , Ping, Lingyan , Koike, Yuka , Oskarsson, Björn , Staff, Nathan P. , Ahmed, Aisha , Ule, Jernej , Jacobson, Steven , Reich, Daniel S. , Rohrer, Jonathan D. , Malaspina, Andrea , Glass, Jonathan D. , Seyfried, Nicholas T., Maragkakis, Manolis , Petrucelli, Leonard , Fratta, Pietro , Ward, Michael E. , Fratta, Pietro , Qi, Yue A , Khandeshi, Aditya , Yuan, Hebao , Roberts, Jessica , Sacramento, Erika Kelmer , Shah, Syed I , Colón-Mercado, Jennifer M , Reyes, Joel F , Ryan, Veronica H , Cook, Casey N , Li, Ziyi , Screven, Laurel , Mehta, Puja R , Zanovello, Matteo , Hallegger, Martina , Shantaraman, Anantharaman , Ping, Lingyan , Koike, Yuka , Oskarsson, Björn , Staff, Nathan P , Duong, Duc M , Ahmed, Aisha , Secrier, Maria , Ule, Jernej , Jacobson, Steven , Reich, Daniel S , Rohrer, Jonathan D , Dickson, Dennis W , Glass, Jonathan D , Seyfried, Nicholas T , Maragkakis, Manolis , Petrucelli, Leonard , Fratta, Pietro , Ward, Michael E , Zhang, Yong-Jie , Prudencio, Mercedes , Bereda, Colleen , Fratta, Pietro , Li, Ziyi , Dickson, Dennis W. , Ori‬‬, Alessandro , Seyfried, Nicholas T.

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Science Translational Medicine | January 26, 2024 | Volume: 16 | Issue: 734 | Pages: No page available

10.1126/scitranslmed.adg7162 | PMID 38277467 Get It

Functional loss of TDP-43, an RNA binding protein genetically and pathologically linked to amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), leads to the inclusion of cryptic exons in hundreds of transcripts during disease. Cryptic exons can promote the degradation of affected transcripts, deleteriously altering cellular function through loss-of-function mechanisms. Here, we show that mRNA transcripts harboring cryptic exons generated de novo proteins in TDP-43–depleted human iPSC–derived neurons in vitro, and de novo peptides were found in cerebrospinal fluid (CSF) samples from patients with ALS or FTD. Using coordinated transcriptomic and proteomic studies of TDP-43–depleted human iPSC–derived neurons, we identified 65 peptides that mapped to 12 cryptic exons. Cryptic exons identified in TDP-43–depleted human iPSC–derived neurons were predictive of cryptic exons expressed in postmortem brain tissue from patients with TDP-43 proteinopathy. These cryptic exons produced transcript variants that generated de novo proteins. We found that the inclusion of cryptic peptide sequences in proteins altered their interactions with other proteins, thereby likely altering their function. Last, we showed that 18 de novo peptides across 13 genes were present in CSF samples from patients with ALS/FTD spectrum disorders. The demonstration of cryptic exon translation suggests new mechanisms for ALS/FTD pathophysiology downstream of TDP-43 dysfunction and may provide a potential strategy to assay TDP-43 function in patient CSF.
TMEM106B core deposition associates with TDP-43 pathology and is increased in risk SNP carriers for frontotemporal dementia
Marks, Jordan D. , Ayuso, Virginia Estades, Carlomagno, Yari , Yue, Mei, Todd, Tiffany W. , Hao, Ying , Li, Ziyi , McEachin, Zachary T. , Shantaraman, Anantharaman , Daughrity, Lillian M. , Jansen‐West, Karen , Calliari, Anna , Bejarano, Jesús González , DeTure, Michael , Rawlinson, Bailey, Castanedes‐Casey, Monica , Lilley, Meredith T. , Donahue, Megan , Jawahar, Vidhya Maheswari, Petersen, Ronald C. , Oskarsson, Björn , Graff‐Radford, Neill R. , Josephs, Keith A. , Seyfried, Nicholas T., Ward, Michael E. , Zhang, Yong‐Jie , Prudencio, Mercedes , Petrucelli, Leonard , Cook, Casey , Duong, Duc M , Daughrity, Lillian M , Jansen-West, Karen R , Shao, Wei , Calliari, Anna , Bejarano, Jesus Gonzalez , DeTure, Michael , Castanedes-Casey, Monica , Lilley, Meredith T , Donahue, Megan H , Boeve, Brad , Petersen, Ronald C , Knopman, David S. , Oskarsson, Björn , Wszolek, Z.K. , Dickson, Dennis W , Josephs, Keith A , Qi, Yue A , Seyfried, Nicholas T , Ward, Michael E , Zhang, Yong-Jie , Prudencio, Mercedes , Petrucelli, Leonard , Cook, Casey N , Li, Ziyi , Shantaraman, Anantharaman , Estades Ayuso, Virginia , Shao, Wei , Bharathi, Vidhya , Boeve, Bradley F. , Knopman, David S. , Wszołek, Zbigniew K. , Dickson, Dennis W. , Qi, Yue , Seyfried, Nicholas T.

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Science Translational Medicine | January 17, 2024 | Volume: 16 | Issue: 730 | Pages: No page available

10.1126/scitranslmed.adf9735 | PMID 38232138 Get It

Genetic variation at the transmembrane protein 106B gene ( TMEM106B) has been linked to risk of frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP) through an unknown mechanism. We found that presence of the TMEM106B rs3173615 protective genotype was associated with longer survival after symptom onset in a postmortem FTLD-TDP cohort, suggesting a slower disease course. The seminal discovery that filaments derived from TMEM106B is a common feature in aging and, across a range of neurodegenerative disorders, suggests that genetic variants in TMEM106B could modulate disease risk and progression through modulating TMEM106B aggregation. To explore this possibility and assess the pathological relevance of TMEM106B accumulation, we generated a new antibody targeting the TMEM106B filament core sequence. Analysis of postmortem samples revealed that the TMEM106B rs3173615 risk allele was associated with higher TMEM106B core accumulation in patients with FTLD-TDP. In contrast, minimal TMEM106B core deposition was detected in carriers of the protective allele. Although the abundance of monomeric full-length TMEM106B was unchanged, carriers of the protective genotype exhibited an increase in dimeric full-length TMEM106B. Increased TMEM106B core deposition was also associated with enhanced TDP-43 dysfunction, and interactome data suggested a role for TMEM106B core filaments in impaired RNA transport, local translation, and endolysosomal function in FTLD-TDP. Overall, these findings suggest that prevention of TMEM106B core accumulation is central to the mechanism by which the TMEM106B protective haplotype reduces disease risk and slows progression.
Clinical value of CSF TMEM106B in familial and sporadic frontotemporal lobar degeneration
Wise, Amy B. , Li, Jingyao , Worringer, Katie, Heuer, Hilary W. , Ljubenkov, Peter A. , Staffaroni, Adam M. , Lago, Argentina Lario , Ramos, Eliana Marisa , Marks, J., Cook, Casey , Pernieel, Jolien, Rademakers, Rosa , Petrucelli, Leonard , Rosen, Howard J. , Boxer, Adam L. , ALLFTD, Rojas, Julio C. , Cobigo, Yann , Loureiro, Joseph , Worringer, Katie, VandeVrede, Lawren , Prudencio, Mercedes , Boeve, Bradley F. , ALLFTD

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Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S15 | Pages: No page available

10.1002/alz.080210 Get It

AbstractBackgroundTMEM106B, a lysosomal trafficking protein, is an important genetic susceptibility risk factor for frontotemporal lobar degeneration (FTLD). In GRN mutation carriers, minor allele homozygosity in the TMEM106B rs1990622 SNP modulates the risk of FTLD. TMEM106B is often the main component of amyloid fibrils in FTLD with TDP43 aggregates. TMEM106B has been quantified in human brain specimens, but its role as a fluid biomarker is unknown. Here, we investigate the clinical value of CSF TMEM106B in FTLD.MethodsCSF TMEM106B was quantified with SOMAmer proteomics (v3.0, SomaLogic®) in an original cohort of C9orf72, GRN and MAPT symptomatic and asymptomatic mutation carriers and family non‐carrier controls, recruited through ALLFTD (n = 182), and a validation cohort of sporadic neuropathology‐confirmed FTLD‐tau and FTLD‐TDP43, clinically‐diagnosed progressive supranuclear palsy – Richardson syndrome (PSP‐RS) and age‐matched controls (n = 96). CSF TMEM106B was correlated with disease severity, measured by the Frontotemporal Lobar Degeneration module global scores (CDR+NACC/FTLD); brain volume, measured with Bayesian linear mixed‐effect modeling, using age, sex and total‐intracranial volume‐corrected permutations with threshold‐free cluster enhancement; and CSF neurofilament light chain (NfL) measured with Simoa. TMEM106B SOMAmer specificity was validated in cell culture overexpression systems and human brain specimens with high TMEM106B burden.ResultsIn both cohorts, there were no differences in CSF TMEM106B by sex, phenotype or neuropathological diagnosis, except for lower levels in PSP‐RS compared to controls (‐0.31 Log2‐fold change, p < 0.001). CSF TMEM106B did not correlate with age. Regardless of disease‐causing mutation, lower CSF TMEM106B was associated with worse disease severity (Figure 1 and 2). CSF TMEM106B was lower in homozygous TMEM106B rs1990622 protective allelein C9orf2 and MAPT, but not in GRN mutation carriers (Figures 3). CSF TMEM106B showed a trend for inverse correlation with NfL in the whole sample (r = ‐0.135, p = 0.052), and correlated positively with left frontal volume in symptomatic FTLD mutation gene carriers (p < 0.05).ConclusionCSF TMEM106B is quantifiable in CSF in vivo. CSF TMEM106B levels are affected by an interaction of disease severity and FTLD and TMEM106B genotypes. Further work is needed to determine its value as a clinical biomarker.
Uncovering Novel Modifiers of Tau Aggregation and Pathology using a Proximity Proteomics Approach (BioID)
Lee, Jannifer H. , Smith, Courtney L. , Wren, Melissa C. , Tsai, Chih‐Wei , Liu, Feilin , Carlomagno, Yari , DeTure, Michael , Cook, Casey , Golde, Todd E. , Petrucelli, Leonard , Morderer, Dmytro , Khalil, Bilal , Tsai, Chih‐Wei, Croft, Cara L. , Dickson, Dennis W. , Rossoll, Wilfried

Mayo Clinic

Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S13 | Pages: No page available

10.1002/alz.079920 Get It

AbstractBackgroundAlzheimer’s disease (AD) is characterized by the accumulation of neurofibrillary tangles (NFTs), comprised primarily of microtubule‐associated protein tau. NFTs are defining hallmarks of AD and its accumulation into pathological oligomers and fibrils has been associated with cognitive decline in AD and other tauopathies. Despite its pivotal role in the disease process, we still have a poor understanding of how their formation, toxicity, and spread across brain regions is regulated via tau‐associated proteins that regulate the oligomerization, pathological accumulation, and seeding of tau in affected cell types and vulnerable brain regions.MethodWe have established two proximity‐dependent biotin‐identification (BioID) models as novel approaches to identify the composition and proximal molecular environment of tau aggregates. Using an in vitro and ex vivo model approach coupled with mass spectrometry, we have identified proteins that were primarily associated with mutant tau aggregates vs. soluble wildtype tau and stratified them based on significance, molecular pathway and druggability. Immunoblotting and immunofluorescence were performed to assess the interaction of endogenous and overexpressed top candidates with tau, along with visualization with NFTs in the context of human AD pathology to assess their impact on tau‐aggregate formation and toxicity.ResultTo determine the physiological and aggregate specific interacting partners of tau, we are comparing wild type tau (TauWT) with mutant tau (Tau3xMUT) carrying three tauopathy‐associated mutations (A152T/P301L/S320F). The proteomic analysis from our combined proteomic datasets revealed that significantly changed proteins included candidates involved in RNA processing, as well as protein ubiquitination and proteasome degradation. We have begun validating proteins that are enriched in mutant tau in human tissue of AD, as well as primary tauopathies, that may be druggable targets for tauopathies.ConclusionThis study provides novel insights into cellular pathways and molecular mechanisms of neurodegeneration, by identifying in the context of living neurons and brain tissue different functional classes of tau‐associated proteins with relevance for AD pathophysiology. These are expected to include proteins that may mediate the toxic effect of NFTs, facilitate the formation or degradation of pathological tau aggregates, and catalyze posttranslational modifications of tau oligomers and associated proteins.