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The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy.

Journal of neuropathology and experimental neurology

Bieniek KF, Cairns NJ, Crary JF, Dickson DW, Folkerth RD, Keene CD, Litvan I, Perl DP, Stein TD, Vonsattel JP, Stewart W, Dams-O'Connor K, Gordon WA, Tripodis Y, Alvarez VE, Mez J, Alosco ML, McKee AC.
PMID: 33611507
J Neuropathol Exp Neurol. 2021 Feb 22;80(3):210-219. doi: 10.1093/jnen/nlab001.

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disorder associated with exposure to head trauma. In 2015, a panel of neuropathologists funded by the NINDS/NIBIB defined preliminary consensus neuropathological criteria for CTE, including the pathognomonic lesion of CTE as "an...

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Bieniek KF, Cairns NJ, Crary JF, et al. The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy. J Neuropathol Exp Neurol. 2021;80(3):210-219doi: 10.1093/jnen/nlab001.
Bieniek, K. F., Cairns, N. J., Crary, J. F., Dickson, D. W., Folkerth, R. D., Keene, C. D., Litvan, I., Perl, D. P., Stein, T. D., Vonsattel, J. P., Stewart, W., Dams-O'Connor, K., Gordon, W. A., Tripodis, Y., Alvarez, V. E., Mez, J., Alosco, M. L., McKee, A. C. (2021). The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy. Journal of neuropathology and experimental neurology, 80(3), 210-219. https://doi.org/10.1093/jnen/nlab001
Bieniek, Kevin F, et al. "The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy." Journal of neuropathology and experimental neurology vol. 80,3 (2021): 210-219. doi: https://doi.org/10.1093/jnen/nlab001
Bieniek KF, Cairns NJ, Crary JF, Dickson DW, Folkerth RD, Keene CD, Litvan I, Perl DP, Stein TD, Vonsattel JP, Stewart W, Dams-O'Connor K, Gordon WA, Tripodis Y, Alvarez VE, Mez J, Alosco ML, McKee AC. The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy. J Neuropathol Exp Neurol. 2021 Feb 22;80(3):210-219. doi: 10.1093/jnen/nlab001. PMID: 33611507; PMCID: PMC7899277.
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A screen for sleep and starvation resistance identifies a wake-promoting role for the auxiliary channel unc79.

G3 (Bethesda, Md.)

Murakami K, Palermo J, Stanhope BA, Gibbs AG, Keene AC, Ahn H.
PMID: 34849820
G3 (Bethesda). 2021 Aug 07;11(8). doi: 10.1093/g3journal/jkab199.

The regulation of sleep and metabolism are highly interconnected, and dysregulation of sleep is linked to metabolic diseases that include obesity, diabetes, and heart disease. Furthermore, both acute and long-term changes in diet potently impact sleep duration and quality....

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Murakami K, Palermo J, Stanhope BA, et al. A screen for sleep and starvation resistance identifies a wake-promoting role for the auxiliary channel unc79. G3 (Bethesda). 2021;11(8)doi: 10.1093/g3journal/jkab199.
Murakami, K., Palermo, J., Stanhope, B. A., Gibbs, A. G., Keene, A. C., & Ahn, H. (2021). A screen for sleep and starvation resistance identifies a wake-promoting role for the auxiliary channel unc79. G3 (Bethesda, Md.), 11(8), . https://doi.org/10.1093/g3journal/jkab199
Murakami, Kazuma, et al. "A screen for sleep and starvation resistance identifies a wake-promoting role for the auxiliary channel unc79." G3 (Bethesda, Md.) vol. 11,8 (2021). doi: https://doi.org/10.1093/g3journal/jkab199
Murakami K, Palermo J, Stanhope BA, Gibbs AG, Keene AC, Ahn H. A screen for sleep and starvation resistance identifies a wake-promoting role for the auxiliary channel unc79. G3 (Bethesda). 2021 Aug 07;11(8). doi: 10.1093/g3journal/jkab199. PMID: 34849820; PMCID: PMC8496288.
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Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI.

JAMA neurology

Yuh EL, Jain S, Sun X, Pisica D, Harris MH, Taylor SR, Markowitz AJ, Mukherjee P, Verheyden J, Giacino JT, Levin HS, McCrea M, Stein MB, Temkin NR, Diaz-Arrastia R, Robertson CS, Lingsma HF, Okonkwo DO, Maas AIR, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Corrigan JD, Crawford K, Dikmen S, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Keene CD, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Nelson L, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Toga A, Valadka A, Vassar M, Zafonte R.
PMID: 34279565
JAMA Neurol. 2021 Sep 01;78(9):1137-1148. doi: 10.1001/jamaneurol.2021.2120.

IMPORTANCE: A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have...

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Yuh EL, Jain S, Sun X, et al. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI. JAMA Neurol. 2021;78(9):1137-1148doi: 10.1001/jamaneurol.2021.2120.
Yuh, E. L., Jain, S., Sun, X., Pisica, D., Harris, M. H., Taylor, S. R., Markowitz, A. J., Mukherjee, P., Verheyden, J., Giacino, J. T., Levin, H. S., McCrea, M., Stein, M. B., Temkin, N. R., Diaz-Arrastia, R., Robertson, C. S., Lingsma, H. F., Okonkwo, D. O., Maas, A. I. R., Manley, G. T., Adeoye, O., Badjatia, N., Boase, K., Bodien, Y., Corrigan, J. D., Crawford, K., Dikmen, S., Duhaime, A. C., Ellenbogen, R., Feeser, V. R., Ferguson, A. R., Foreman, B., Gardner, R., Gaudette, E., Gonzalez, L., Gopinath, S., Gullapalli, R., Hemphill, J. C., Hotz, G., Keene, C. D., Kramer, J., Kreitzer, N., Lindsell, C., Machamer, J., Madden, C., Martin, A., McAllister, T., Merchant, R., Nelson, L., Ngwenya, L. B., Noel, F., Nolan, A., Palacios, E., Perl, D., Rabinowitz, M., Rosand, J., Sander, A., Satris, G., Schnyer, D., Seabury, S., Toga, A., Valadka, A., Vassar, M., & Zafonte, R. (2021). Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI. JAMA neurology, 78(9), 1137-1148. https://doi.org/10.1001/jamaneurol.2021.2120
Yuh, Esther L, et al. "Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI." JAMA neurology vol. 78,9 (2021): 1137-1148. doi: https://doi.org/10.1001/jamaneurol.2021.2120
Yuh EL, Jain S, Sun X, Pisica D, Harris MH, Taylor SR, Markowitz AJ, Mukherjee P, Verheyden J, Giacino JT, Levin HS, McCrea M, Stein MB, Temkin NR, Diaz-Arrastia R, Robertson CS, Lingsma HF, Okonkwo DO, Maas AIR, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Corrigan JD, Crawford K, Dikmen S, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Keene CD, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Nelson L, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Toga A, Valadka A, Vassar M, Zafonte R. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI. JAMA Neurol. 2021 Sep 01;78(9):1137-1148. doi: 10.1001/jamaneurol.2021.2120. PMID: 34279565; PMCID: PMC8290344.
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Myxomatous mitral valve disease in Miniature Schnauzers and Yorkshire Terriers: 134 cases (2007-2016).

Journal of the American Veterinary Medical Association

DeProspero DJ, O'Donnell KA, DeFrancesco TC, Keene BW, Tou SP, Adin DB, Atkins CE, Meurs KM.
PMID: 34757932
J Am Vet Med Assoc. 2021 Dec 15;1-5. doi: 10.2460/javma.20.05.0291. Epub 2021 Dec 15.

OBJECTIVE: To characterize features of myxomatous mitral valve disease (MMVD) in Miniature Schnauzers and Yorkshire Terriers.ANIMALS: 69 Miniature Schnauzers and 65 Yorkshire Terriers, each with MMVD.PROCEDURES: Medical record data for each dog were collected; the study period was January...

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DeProspero DJ, O'Donnell KA, DeFrancesco TC, et al. Myxomatous mitral valve disease in Miniature Schnauzers and Yorkshire Terriers: 134 cases (2007-2016). J Am Vet Med Assoc. 2021;1-5doi: 10.2460/javma.20.05.0291.
DeProspero, D. J., O'Donnell, K. A., DeFrancesco, T. C., Keene, B. W., Tou, S. P., Adin, D. B., Atkins, C. E., & Meurs, K. M. (2021). Myxomatous mitral valve disease in Miniature Schnauzers and Yorkshire Terriers: 134 cases (2007-2016). Journal of the American Veterinary Medical Association, 1-5. https://doi.org/10.2460/javma.20.05.0291
DeProspero, Dylan J, et al. "Myxomatous mitral valve disease in Miniature Schnauzers and Yorkshire Terriers: 134 cases (2007-2016)." Journal of the American Veterinary Medical Association vol. (2021): 1-5. doi: https://doi.org/10.2460/javma.20.05.0291
DeProspero DJ, O'Donnell KA, DeFrancesco TC, Keene BW, Tou SP, Adin DB, Atkins CE, Meurs KM. Myxomatous mitral valve disease in Miniature Schnauzers and Yorkshire Terriers: 134 cases (2007-2016). J Am Vet Med Assoc. 2021 Dec 15;1-5. doi: 10.2460/javma.20.05.0291. Epub 2021 Dec 15. PMID: 34757932.
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Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex.

Cell reports

Mich JK, Graybuck LT, Hess EE, Mahoney JT, Kojima Y, Ding Y, Somasundaram S, Miller JA, Kalmbach BE, Radaelli C, Gore BB, Weed N, Omstead V, Bishaw Y, Shapovalova NV, Martinez RA, Fong O, Yao S, Mortrud M, Chong P, Loftus L, Bertagnolli D, Goldy J, Casper T, Dee N, Opitz-Araya X, Cetin A, Smith KA, Gwinn RP, Cobbs C, Ko AL, Ojemann JG, Keene CD, Silbergeld DL, Sunkin SM, Gradinaru V, Horwitz GD, Zeng H, Tasic B, Lein ES, Ting JT, Levi BP.
PMID: 33789096
Cell Rep. 2021 Mar 30;34(13):108754. doi: 10.1016/j.celrep.2021.108754.

Viral genetic tools that target specific brain cell types could transform basic neuroscience and targeted gene therapy. Here, we use comparative open chromatin analysis to identify thousands of human-neocortical-subclass-specific putative enhancers from across the genome to control gene expression...

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Mich JK, Graybuck LT, Hess EE, et al. Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex. Cell Rep. 2021;34(13):108754doi: 10.1016/j.celrep.2021.108754.
Mich, J. K., Graybuck, L. T., Hess, E. E., Mahoney, J. T., Kojima, Y., Ding, Y., Somasundaram, S., Miller, J. A., Kalmbach, B. E., Radaelli, C., Gore, B. B., Weed, N., Omstead, V., Bishaw, Y., Shapovalova, N. V., Martinez, R. A., Fong, O., Yao, S., Mortrud, M., Chong, P., Loftus, L., Bertagnolli, D., Goldy, J., Casper, T., Dee, N., Opitz-Araya, X., Cetin, A., Smith, K. A., Gwinn, R. P., Cobbs, C., Ko, A. L., Ojemann, J. G., Keene, C. D., Silbergeld, D. L., Sunkin, S. M., Gradinaru, V., Horwitz, G. D., Zeng, H., Tasic, B., Lein, E. S., Ting, J. T., & Levi, B. P. (2021). Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex. Cell reports, 34(13), 108754. https://doi.org/10.1016/j.celrep.2021.108754
Mich, John K, et al. "Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex." Cell reports vol. 34,13 (2021): 108754. doi: https://doi.org/10.1016/j.celrep.2021.108754
Mich JK, Graybuck LT, Hess EE, Mahoney JT, Kojima Y, Ding Y, Somasundaram S, Miller JA, Kalmbach BE, Radaelli C, Gore BB, Weed N, Omstead V, Bishaw Y, Shapovalova NV, Martinez RA, Fong O, Yao S, Mortrud M, Chong P, Loftus L, Bertagnolli D, Goldy J, Casper T, Dee N, Opitz-Araya X, Cetin A, Smith KA, Gwinn RP, Cobbs C, Ko AL, Ojemann JG, Keene CD, Silbergeld DL, Sunkin SM, Gradinaru V, Horwitz GD, Zeng H, Tasic B, Lein ES, Ting JT, Levi BP. Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex. Cell Rep. 2021 Mar 30;34(13):108754. doi: 10.1016/j.celrep.2021.108754. PMID: 33789096; PMCID: PMC8163032.
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Viable human brain microvessels for the study of aging and neurodegenerative diseases.

Microvascular research

Damodarasamy M, Khaing ZZ, Hyde J, Keene CD, Bentov I, Banks WA, Reed MJ.
PMID: 34813858
Microvasc Res. 2021 Nov 20;140:104282. doi: 10.1016/j.mvr.2021.104282. Epub 2021 Nov 20.

The brain microvasculature is altered in normal aging and in the presence of disease processes, such as neurodegeneration or ischemia, but there are few methods for studying living tissues. We now report that viable microvessels (MV) are readily isolated...

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Damodarasamy M, Khaing ZZ, Hyde J, et al. Viable human brain microvessels for the study of aging and neurodegenerative diseases. Microvasc Res. 2021;140:104282doi: 10.1016/j.mvr.2021.104282.
Damodarasamy, M., Khaing, Z. Z., Hyde, J., Keene, C. D., Bentov, I., Banks, W. A., & Reed, M. J. (2021). Viable human brain microvessels for the study of aging and neurodegenerative diseases. Microvascular research, 140104282. https://doi.org/10.1016/j.mvr.2021.104282
Damodarasamy, Mamatha, et al. "Viable human brain microvessels for the study of aging and neurodegenerative diseases." Microvascular research vol. 140 (2021): 104282. doi: https://doi.org/10.1016/j.mvr.2021.104282
Damodarasamy M, Khaing ZZ, Hyde J, Keene CD, Bentov I, Banks WA, Reed MJ. Viable human brain microvessels for the study of aging and neurodegenerative diseases. Microvasc Res. 2021 Nov 20;140:104282. doi: 10.1016/j.mvr.2021.104282. Epub 2021 Nov 20. PMID: 34813858.
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Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease.

Journal of proteome research

Hubbard EE, Heil LR, Merrihew GE, Chhatwal JP, Farlow MR, McLean CA, Ghetti B, Newell KL, Frosch MP, Bateman RJ, Larson EB, Keene CD, Perrin RJ, Montine TJ, MacCoss MJ, Julian RR.
PMID: 34818016
J Proteome Res. 2022 Jan 07;21(1):118-131. doi: 10.1021/acs.jproteome.1c00558. Epub 2021 Nov 24.

One of the potential benefits of using data-independent acquisition (DIA) proteomics protocols is that information not originally targeted by the study may be present and discovered by subsequent analysis. Herein, we reanalyzed DIA data originally recorded for global proteomic...

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Hubbard EE, Heil LR, Merrihew GE, et al. Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease. J Proteome Res. 2021;21(1):118-131doi: 10.1021/acs.jproteome.1c00558.
Hubbard, E. E., Heil, L. R., Merrihew, G. E., Chhatwal, J. P., Farlow, M. R., McLean, C. A., Ghetti, B., Newell, K. L., Frosch, M. P., Bateman, R. J., Larson, E. B., Keene, C. D., Perrin, R. J., Montine, T. J., MacCoss, M. J., & Julian, R. R. (2022). Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease. Journal of proteome research, 21(1), 118-131. https://doi.org/10.1021/acs.jproteome.1c00558
Hubbard, Evan E, et al. "Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease." Journal of proteome research vol. 21,1 (2022): 118-131. doi: https://doi.org/10.1021/acs.jproteome.1c00558
Hubbard EE, Heil LR, Merrihew GE, Chhatwal JP, Farlow MR, McLean CA, Ghetti B, Newell KL, Frosch MP, Bateman RJ, Larson EB, Keene CD, Perrin RJ, Montine TJ, MacCoss MJ, Julian RR. Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease. J Proteome Res. 2022 Jan 07;21(1):118-131. doi: 10.1021/acs.jproteome.1c00558. Epub 2021 Nov 24. PMID: 34818016.
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Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol.

Frontiers in neuroscience

Webster JM, Grabowski TJ, Madhyastha TM, Gibbons LE, Keene CD, Latimer CS.
PMID: 34483821
Front Neurosci. 2021 Aug 18;15:693242. doi: 10.3389/fnins.2021.693242. eCollection 2021.

INTRODUCTION: The study of Alzheimer's disease investigates topographic patterns of degeneration in the context of connected networks comprised of functionally distinct domains using increasingly sophisticated molecular techniques. Therefore, obtaining high precision and accuracy of neuropathologic tissue sampling will enhance...

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Webster JM, Grabowski TJ, Madhyastha TM, et al. Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol. Front Neurosci. 2021;15:693242doi: 10.3389/fnins.2021.693242.
Webster, J. M., Grabowski, T. J., Madhyastha, T. M., Gibbons, L. E., Keene, C. D., & Latimer, C. S. (2021). Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol. Frontiers in neuroscience, 15693242. https://doi.org/10.3389/fnins.2021.693242
Webster, Jason M, et al. "Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol." Frontiers in neuroscience vol. 15 (2021): 693242. doi: https://doi.org/10.3389/fnins.2021.693242
Webster JM, Grabowski TJ, Madhyastha TM, Gibbons LE, Keene CD, Latimer CS. Leveraging Neuroimaging Tools to Assess Precision and Accuracy in an Alzheimer's Disease Neuropathologic Sampling Protocol. Front Neurosci. 2021 Aug 18;15:693242. doi: 10.3389/fnins.2021.693242. eCollection 2021. PMID: 34483821; PMCID: PMC8416420.
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