scholarly journals Stable Size Distribution of Amyloid Plaques Over the Course of Alzheimer Disease

2012 ◽  
Vol 71 (8) ◽  
pp. 694-701 ◽  
Author(s):  
Alberto Serrano-Pozo ◽  
Matthew L. Mielke ◽  
Alona Muzitansky ◽  
Teresa Gómez-Isla ◽  
John H. Growdon ◽  
...  
Neurology ◽  
2018 ◽  
Vol 91 (9) ◽  
pp. 395-402 ◽  
Author(s):  
Ronald C. Petersen

A seismic shift in our understanding of the ability to diagnose Alzheimer disease (AD) is occurring. For the last several decades, AD has been a clinical–pathologic diagnosis, and this conceptualization of the disease has served the field well. Typically, the clinician would identify a syndrome such as mild cognitive impairment or dementia, and label the condition as “probable AD” since the diagnosis of definite AD could not be made until an autopsy revealed the presence of amyloid plaques and tau-based neurofibrillary tangles. However, with the advent of biomarkers for AD including neuroimaging and CSF, the identification of AD pathology can be made in life, which greatly enhances the ability of clinicians to be precise about the underlying etiology of a clinical syndrome. Hypothetical models of the temporal relation among the pathologic elements and the clinical symptoms have been proposed and have influenced the field enormously. This has enabled clinicians to be specific about the underlying cause of a given clinical syndrome. As such, the diagnostic capability of the clinician is evolving. However, AD pathology is only a component of the puzzle describing the causes of cognitive changes in aging. Most often, there is a multitude of pathologic entities contributing to the neuropathologic explanation of cognitive changes in aging. AD changes contribute important elements to the diagnosis, but the final answer is more complex. The field of aging and dementia will have to incorporate these additional elements.


1992 ◽  
Vol 592 (1-2) ◽  
pp. 278-282 ◽  
Author(s):  
Mitsuru Kawai ◽  
Patrick Cras ◽  
George Perry

2018 ◽  
Vol 41 (8) ◽  
pp. 2894-2905 ◽  
Author(s):  
Luis M. Abia ◽  
Óscar Angulo ◽  
Juan Carlos López-Marcos ◽  
Miguel Ángel López-Marcos

Author(s):  
Anarmaa Mendsaikhan ◽  
Ikuo Tooyama ◽  
Geidy E Serrano ◽  
Thomas G Beach ◽  
Douglas G Walker

Abstract Alzheimer disease (AD) is a progressive neurodegenerative disease causing cognitive decline in the aging population. To develop disease-modifying treatments, understanding the mechanisms behind the pathology is important, which should include observations using human brain samples. We reported previously on the association of lysosomal proteins progranulin (PGRN) and prosaposin (PSAP) with amyloid plaques in non-demented aged control and AD brains. In this study, we investigated the possible involvement of PGRN and PSAP in tangle formation using human brain tissue sections of non-demented aged control subjects and AD cases and compared with cases of frontotemporal dementia with granulin (GRN) mutations. The study revealed that decreased amounts of PGRN and PSAP proteins were detected even in immature neurofibrillary tangles, while colocalization was still evident in adjacent neurons in all cases. Results suggest that neuronal loss of PGRN preceded loss of PSAP as tangles developed and matured. The GRN mutation cases exhibited almost complete absence of PGRN in most neurons, while PSAP signal was preserved. Although based on correlative data, we suggest that reduced levels of PGRN and PSAP and their interaction in neurons might predispose to accumulation of p-Tau protein.


1999 ◽  
Vol 07 (03) ◽  
pp. 285-306
Author(s):  
HAMILTON F. LECKAR ◽  
LAÉRCIO L. VENDITE

A size-structured model is developed to study the growth of tumor cell populations during chemotherapeutic treatment with two non-cross resistant drugs, [Formula: see text] and [Formula: see text]. The cells reproduce by fission. Four types of cells are considered: sensitive cells to both [Formula: see text] and [Formula: see text], cells that are resistant to [Formula: see text] only, cells that are resistant to [Formula: see text] only, and cells that are resistant to both [Formula: see text] and [Formula: see text]. Resistant cells arise by spontaneous genetic mutation from sensitive cells and are selected during the growth of the mixed population. The model consists on a system of linear partial differential equations describing the size-density of each type of cells. That corresponds to chemotherapeutic treatment on a given time sequence intervals such that, we continuously apply [Formula: see text] at a first interval and next we apply [Formula: see text] at a second interval, and so forth. We obtain a stable size-distribution theorem for this case.


2012 ◽  
Vol 71 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Sultan Darvesh ◽  
Meghan K. Cash ◽  
George Andrew Reid ◽  
Earl Martin ◽  
Arnold Mitnitski ◽  
...  

2003 ◽  
Vol 971 (2) ◽  
pp. 197-209 ◽  
Author(s):  
Robert G. Nagele ◽  
Michael R. D’Andrea ◽  
H. Lee ◽  
Venkateswar Venkataraman ◽  
Hoau-Yan Wang

Sign in / Sign up

Export Citation Format

Share Document