Search

A tissue microarray (TMA) has previously been developed for use in assessment of neurodegenerative diseases. We investigated the variation of pathology loads in semi-quantitative score categories and how pathology load related to disease progression. Post-mortem tissue from 146 cases were used; Alzheimer's disease (AD) (n = 36), Lewy body disease (LBD) (n = 56), mixed AD/dementia with Lewy bodies (n = 14) and controls (n = 40). TMA blocks (one per case) were constructed using tissue cores from 15 brain regions including cortical and subcortical regions. TMA tissue sections were stained for hyperphosphorylated tau (HP- T ), β amyloid and α-synuclein (αsyn), and quantified using an automated image analysis system. Cases classified as Braak stage VI displayed a wide variation in HP- T pathology in the entorhinal cortex (interquartile range 4.13-44.03%). The interquartile range for β amyloid in frontal cortex in cases classified as Thal phase 5 was 6.75-17.03% and for αsyn in the cingulate in cases classified as McKeith neocortical LBD was 0.04-0.58%. In AD and control cases, HP- T load predicted the Braak stage (p < 0.001), β amyloid load predicted Thal phase (p < 0.001) and αsyn load in LBD cases predicted McKeith type of LBD (p < 0.001). Quantitative data from TMA assessment highlight the range in pathological load across cases classified with 'severe' pathology and is beneficial to further elucidate the heterogeneity of neurodegenerative diseases. Quantifying pathology in multiple brain regions may allow identification of novel clinico-pathological phenotypes for the improvement of intra vitam stratification of clinical cohorts according to underlying pathologies.

Depression is among the most common behavioral and psychological symptoms of dementia, and leads to more rapid decline and higher mortality. Treatment for depression in dementia has centered on conventional antidepressant drug treatment based around the monoamine hypothesis of depression. However, recent major studies have suggested that conventional antidepressant treatments that aim to correct underlying deficits in monoamine neurotransmitters are not effective for depression in dementia. Postmortem studies have also suggested that depression in dementia does not arise from serotonergic or noradrenergic abnormalities, or indeed from the degenerative pathology associated with Alzheimer's disease. In contrast, considerable recent evidence has suggested that alterations in glutamatergic transmission may contribute to the pathophysiology of depression. This supports the view that treatment-resistant depressed patients, such as many dementia patients, may benefit from agents affecting glutamate transmission. This review will thus draw together the wealth of pathological data examining the basis of depression in Alzheimer's disease and relate this to current thinking on treatment, with the aim of generating discussion on potential novel therapeutic strategies.

The impact of major depression in late life is considerable and set to intensify with a worldwide shift in demographic profile toward an elderly population. Although the precise neurobiological mechanisms are not fully understood, a significant body of clinical, epidemiological, and imaging data have suggested divergent pathophysiological pathways underlie depression in late life, when compared with younger patients. Neuroimaging studies have demonstrated significant increases in white matter hyperintensities in late-life depression in several key areas involved in affective circuitry. Postmortem cellular morphometry studies have played a vital role in the identification of discrete changes in the brain microstructure in depression. This review draws together such postmortem studies, which have utilized tissue from younger/mixed age and late-life depressed patients. These findings have suggested varying neuronal and glial cell pathology in depression between different age cohorts. This age-related disparity may suggest different pathophysiological basis for depression, with vascular factors playing a potentially greater role in late life., (Copyright © 2014 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Psychostimulant drugs are widely used in children for the treatment of attention-deficit/hyperactivity disorder. Recent animal studies have suggested that exposure to these agents in early life could be detrimental to brain development. Here, for the first time, the effect of methylphenidate (MPH) and D-amphetamine (AMPH) on the expression of two key genes for neuronal development and plasticity, brain-derived neurotrophic factor (bdnf) and the effector immediate early gene activity-regulated, cytoskeletal-associated protein (Arc), was examined in both juvenile and adult rats. Both MPH [2 mg/kg, intraperitoneal (i.p.)] and AMPH (0.5 mg/kg, i.p.) induced marked decreases of bdnf mRNA in hippocampal and cortical brain regions of juveniles, whereas effects in adults were significantly less (hippocampus) or opposite (frontal cortex). In comparison, Arc mRNA was decreased (hippocampus and parietal cortex), largely unaffected (frontal cortex) or increased (striatum) in juveniles, whereas in adults, Arc mRNA increased in most brain regions. MPH-induced locomotion was also measured, and showed a much smaller increase in juveniles than in adults. In summary, our data show that the effects of MPH and AMPH on expression of the neurodevelopmentally important genes, bdnf and Arc, differ markedly in juvenile and adult rats, with juveniles showing evidence of brain region-specific decreases in both genes. These age-dependent effects on gene expression may be linked with the reported long-term harmful effects of psychostimulants in animal models.

Surface-enhanced Raman spectroscopy (SERS) has recently emerged as a potent analytical technique with significant potential in the field of brain research. This review explores the applications and innovations of SERS in understanding the pathophysiological basis and diagnosis of brain disorders. SERS holds significant advantages over conventional Raman spectroscopy, particularly in terms of sensitivity and stability. The integration of label-free SERS presents promising opportunities for the rapid, reliable, and non-invasive diagnosis of brain-associated diseases, particularly when combined with advanced computational methods such as machine learning. SERS has potential to deepen our understanding of brain diseases, enhancing diagnosis, monitoring, and therapeutic interventions. Such advancements could significantly enhance the accuracy of clinical diagnosis and further our understanding of brain-related processes and diseases. This review assesses the utility of SERS in diagnosing and understanding the pathophysiological basis of brain disorders such as Alzheimer's and Parkinson's diseases, stroke, and brain cancer. Recent technological advances in SERS instrumentation and techniques are discussed, including innovations in nanoparticle design, substrate materials, and imaging technologies. We also explore prospects and emerging trends, offering insights into new technologies, while also addressing various challenges and limitations associated with SERS in brain research. [ABSTRACT FROM AUTHOR]