19 research outputs found

    Thrombospondin-1 protects against Aฮฒ-induced mitochondrial fragmentation and dysfunction in hippocampal cells.

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    Alzheimer's disease (AD) is often characterized by the impairment of mitochondrial function caused by excessive mitochondrial fragmentation. Thrombospondin-1 (TSP-1), which is primarily secreted from astrocytes in the central nervous system (CNS), has been suggested to play a role in synaptogenesis, spine morphology, and synaptic density of neurons. In this study, we investigate the protective role of TSP-1 in the recovery of mitochondrial morphology and function in amyloid ฮฒ (Aฮฒ)-treated mouse hippocampal neuroblastoma cells (HT22). We observe that TSP-1 inhibits Aฮฒ-induced mitochondrial fission by maintaining phosphorylated-Drp1 (p-Drp1) levels, which results in reduced Drp1 translocation to the mitochondria. By using gabapentin, a drug that antagonizes the interaction between TSP-1 and its neuronal receptor ฮฑ2ฮด1, we observe that ฮฑ2ฮด1 acts as one of the target receptors for TSP-1, and blocks the reduction of the p-Drp1 to Drp1 ratio, in the presence of Aฮฒ. Taken together, TSP-1 appears to contribute to maintaining the balance in mitochondrial dynamics and mitochondrial functions, which is crucial for neuronal cell viability. These data suggest that TSP-1 may be a potential therapeutic target for AD

    Inactivation of Medial Prefrontal Cortex Impairs Time Interval Discrimination in Rats

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    Several lines of evidence suggest the involvement of prefrontal cortex in time interval estimation. The underlying neural processes are poorly understood, however, in part because of the paucity of physiological studies. The goal of this study was to establish an interval timing task for physiological recordings in rats, and test the requirement of intact medial prefrontal cortex (mPFC) for performing the task. We established a temporal bisection procedure using six different time intervals ranging from 3018 to 4784โ€‰ms that needed to be discriminated as either long or short. Bilateral infusions of muscimol (GABAA receptor agonist) into the mPFC significantly impaired animal's performance in this task, even when the animals were required to discriminate between only the longest and shortest time intervals. These results show the requirement of intact mPFC in rats for time interval discrimination in the range of a few seconds

    Genetic associations of in vivo pathology influence Alzheimers disease susceptibility

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    Introduction Although the heritability of sporadic Alzheimers disease (AD) is estimated to be 60โ€“80%, addressing the genetic contribution to AD risk still remains elusive. More specifically, it remains unclear whether genetic variants are able to affect neurodegenerative brain features that can be addressed by in vivo imaging techniques. Methods Targeted sequencing analysis of the coding and UTR regions of 132 AD susceptibility genes was performed. Neuroimaging data using 11C-Pittsburgh Compound B positron emission tomography (PET), 18F-fluorodeoxyglucose PET, and MRI that are available from the KBASE (Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimers disease) cohort were acquired. A total of 557 participants consisted of 336 cognitively normal (CN) adults, 137 mild cognitive impairment (MCI), and 84 AD dementia (ADD) groups. Results We called 5391 high-quality single nucleotide variants (SNVs) on AD susceptibility genes and selected significant associations between variants and five in vivo AD pathologies: (1) amyloid ฮฒ (Aฮฒ) deposition, (2) AD-signature region cerebral glucose metabolism (AD-Cm), (3) posterior cingulate cortex (PCC) cerebral glucose metabolism (PCC-Cm), (4) AD-signature region cortical thickness (AD-Ct), and (5) hippocampal volume (Hv). The association analysis for common variants (allele frequency (AF)โ€‰>โ€‰0.05) yielded several novel loci associated with Aฮฒ deposition (PIWIL1-rs10848087), AD-Cm (NME8-rs2722372 and PSEN2-rs75733498), AD-Ct (PSEN1-rs7523) and, Hv (CASS4-rs3746625). Meanwhile, in a gene-based analysis for rare variants (AFโ€‰<โ€‰0.05), cases carrying rare variants in LPL, FERMT2, NFAT5, DSG2, and ITPR1 displayed associations with the neuroimaging features. Exploratory voxel-based brain morphometry between the variant carriers and non-carriers was performed subsequently. Finally, we document a strong association of previously reported APOE variants with the in vivo AD pathologies and demonstrate that the variants exert a causal effect on AD susceptibility via neuroimaging features. Conclusions This study provides novel associations of genetic factors to Aฮฒ accumulation and AD-related neurodegeneration to influence AD susceptibility.The study was supported by grants from the National Research Foundation of Korea (2014M3C7A1046049 and 2018M3C9A5064708 for Choi M and 2014M3C7A1046042 for Lee DY) and grants from the Ministry of Health and Welfare of Korea (HI18C0630 for Mook-Jung IH and Lee DY, and HI19C0149 for Lee DY)

    Mitochondria-Specific Accumulation of Amyloid ฮฒ Induces Mitochondrial Dysfunction Leading to Apoptotic Cell Death

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    Mitochondria are best known as the essential intracellular organelles that host the homeostasis required for cellular survival, but they also have relevance in diverse disease-related conditions, including Alzheimer's disease (AD). Amyloid ฮฒ (Aฮฒ) peptide is the key molecule in AD pathogenesis, and has been highlighted in the implication of mitochondrial abnormality during the disease progress. Neuronal exposure to Aฮฒ impairs mitochondrial dynamics and function. Furthermore, mitochondrial Aฮฒ accumulation has been detected in the AD brain. However, the underlying mechanism of how Aฮฒ affects mitochondrial function remains uncertain, and it is questionable whether mitochondrial Aฮฒ accumulation followed by mitochondrial dysfunction leads directly to neuronal toxicity. This study demonstrated that an exogenous Aฮฒ1โ€“42 treatment, when applied to the hippocampal cell line of mice (specifically HT22 cells), caused a deleterious alteration in mitochondria in both morphology and function. A clathrin-mediated endocytosis blocker rescued the exogenous Aฮฒ1โ€“42-mediated mitochondrial dysfunction. Furthermore, the mitochondria-targeted accumulation of Aฮฒ1โ€“42 in HT22 cells using Aฮฒ1โ€“42 with a mitochondria-targeting sequence induced the identical morphological alteration of mitochondria as that observed in the APP/PS AD mouse model and exogenous Aฮฒ1โ€“42-treated HT22 cells. In addition, subsequent mitochondrial dysfunctions were demonstrated in the mitochondria-specific Aฮฒ1โ€“42 accumulation model, which proved indistinguishable from the mitochondrial impairment induced by exogenous Aฮฒ1โ€“42-treated HT22 cells. Finally, cellular toxicity was directly induced by mitochondria-targeted Aฮฒ1โ€“42 accumulation, which mimics the apoptosis process in exogenous Aฮฒ1โ€“42-treated HT22 cells. Taken together, these results indicate that mitochondria-targeted Aฮฒ1โ€“42 accumulation is the necessary and sufficient condition for Aฮฒ-mediated mitochondria impairments, and leads directly to cellular death rather than along with other Aฮฒ-mediated signaling alterations

    Investigating the mechanism of Aฮฒ-induced mitochondrial dysfunctiion as a risk factor for Alzheimer's disease

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜๊ณผํ•™๊ณผ ์˜๊ณผํ•™์ „๊ณต, 2016. 2. ๋ฌต์ธํฌ.์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์˜ ๊ฐ€์žฅ ํฐ ํŠน์ง•์€ ์„ธํฌ ์™ธ๋ถ€์˜ ๋ฒ ํƒ€-์•„๋ฐ€๋กœ์ด๋“œ (Aฮฒ) ํ”Œ๋ผํฌ์˜ ์ถ•์ ๊ณผ ์„ธํฌ ๋‚ด๋ถ€์˜ ๊ณผ์ธ์‚ฐํ™”๋œ ํƒ€์šฐ ๋‹จ๋ฐฑ์งˆ์˜ ๋น„์ •์ƒ์ ์ธ ์ ‘ํž˜ ํ˜„์ƒ์„ ๋“ค ์ˆ˜ ์žˆ๋Š”๋ฐ, ์ตœ๊ทผ ์ด๋Ÿฌํ•œ ํ˜„์ƒํ•™์ ์ธ ์„ธํฌ ๋ณ€ํ™” ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ทธ์— ์˜ํ•ด ์˜ํ–ฅ์„ ๋ฐ›๋Š” ์ƒ๋ฆฌ์  ๊ธฐ๋Šฅ์˜ ์ด์ƒ์ด๋‚˜ ์„ธํฌ ์†Œ๊ธฐ๊ด€์˜ ๊ธฐ๋Šฅ์  ๊ฒฐํ•จ๋“ค์ด ์ง์ ‘์ ์ธ ๋ณ‘์ธ ๊ธฐ์ „์œผ๋กœ์จ ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค. ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ์ด์ƒ๊ณผ autophagosome์˜ ์ถ•์ ๋„ ๊ทธ๋“ค ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ํ•˜์ง€๋งŒ ์•„์ง๊นŒ์ง€ ์ด์— ๋Œ€ํ•œ ๋šœ๋ ทํ•œ ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด ๋ฐํ˜€์ง„ ๋ฐ”๊ฐ€ ์—†๊ธฐ์—, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด๋ฅผ ๊ตฌ์ฒด์ ์œผ๋กœ ๋ฐํžˆ๊ณ ์ž ํ•˜์˜€๋‹ค. ๋จผ์ €, Crif1 (CR6 interacting factor 1) ์ด๋ผ๋Š” ๋‹จ๋ฐฑ์งˆ์ด ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ๋™๋ฌผ๋ชจ๋ธ๊ณผ ํ™˜์ž์—์„œ ๊ฐ์†Œ๋˜์–ด ์žˆ์Œ์„ ๊ด€์ฐฐํ•˜์—ฌ SY5Y ์„ธํฌ์ฃผ์—์„œ Aฮฒ์— ์˜ํ•ด ๊ฐ์†Œ๋œ Crif1์˜ ์–‘์„ ํšŒ๋ณต์‹œ์ผœ ์ฃผ์—ˆ๊ณ  ์ด๋•Œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ๊ณผ ๋ชจ์–‘, ์„ธํฌ์˜ ํ™œ์„ฑ ๋“ฑ์ด ์ •์ƒ์ ์œผ๋กœ ํšŒ๋ณต๋จ์„ ํ†ตํ•ด Crif1์ด ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ์œ ์ง€๋ฅผ ์œ„ํ•œ ์ค‘์š” ๋‹จ๋ฐฑ์งˆ์ž„์ธ ๋™์‹œ์— ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์—์„œ ์ฃผ์š” ์น˜๋ฃŒ ํ‘œ์ ์œผ๋กœ ๊ธฐ๋Šฅํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ฐํ˜€๋‚ด์—ˆ๋‹ค. ๋˜ํ•œ, ๋‡Œ์˜ ์„ฑ์ƒ์„ธํฌ (astrocyte) ์—์„œ ์ฃผ๋กœ ๋ถ„๋น„๋˜์–ด ์‹ ๊ฒฝ์„ธํฌ์— ์ž‘์šฉํ•œ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ๋Š” Tsp-1 (Thrombospondin-1) ์€ ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ํ™˜์ž์™€ ๋™๋ฌผ ๋ชจ๋ธ์—์„œ ๊ทธ ์–‘์ด ๊ฐ์†Œ๋˜์–ด ์žˆ๋Š”๋ฐ, ๋ณธ ์—ฐ๊ตฌ์—์„œ Tsp-1์ด Aฮฒ์— ์˜ํ•œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ณผ๋ถ„์—ด ํ˜„์ƒ์„ ์ €ํ•ดํ•ด ๊ทธ์— ๋”ฐ๋ฅธ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ์ด์ƒ ๋ฐ ์„ธํฌ ํ™œ์„ฑ์— ๋ณดํ˜ธ ํšจ๊ณผ๋ฅผ ๋‚ผ ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋กœ์จ Tsp1 ๋˜ํ•œ ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ์ƒํ™ฉ์—์„œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์—์˜ ๋ณดํ˜ธ ํšจ๊ณผ๋ฅผ ๋ƒ„์œผ๋กœ์จ ์ข‹์€ ์น˜๋ฃŒ ํ‘œ์ ์ด ๋  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์€ ์ œ 3์˜ ๋‹น๋‡จ๋ณ‘์ด๋ผ๊ณ  ๋ถˆ๋ฆฌ์–ด์งˆ ๋งŒํผ ๋‹น๋‡จ๋ณ‘๊ณผ์˜ ์—ฐ๊ด€์„ฑ์ด ๊นŠ์€ ๊ฒƒ์œผ๋กœ๋„ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ 2ํ˜• ๋‹น๋‡จ๋ณ‘ ์น˜๋ฃŒ์ œ๋กœ ๊ฐ€์žฅ ํ”ํžˆ ์“ฐ์ด๋Š” metformin์ด ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ํ™˜์ž์™€ ๋™๋ฌผ ๋ชจ๋ธ์—์„œ Aฮฒ ์ƒ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ด์„ ํ™•์ธํ•˜๊ณ , HT22 ์„ธํฌ์ฃผ์—์„œ metformin์ด ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์˜ ์ฃผ์š” ๋ณ‘์ธ ๊ธฐ์ „ ์ค‘์˜ ํ•˜๋‚˜์ธ autophagosome์˜ ์ถ•์ ์„ ์œ ๋„ํ•˜์—ฌ Aฮฒ ์ƒ์„ฑ ์ฆ๊ฐ€์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด, ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ตฌ์กฐ์ , ๊ธฐ๋Šฅ์  ์ •์ƒํ™”๊ฐ€ ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์—์„œ ์ค‘์š”ํ•œ ์น˜๋ฃŒ ์ „๋žต์ด ๋  ์ˆ˜ ์žˆ์Œ์„ ๋ฐํ˜€๋ƒ„๊ณผ ๋™์‹œ์—, metformin์ด๋ผ๋Š” ์ œ 2ํ˜• ๋‹น๋‡จ๋ณ‘ ์น˜๋ฃŒ์ œ๊ฐ€ ๊ทธ ๋ณ‘์ฆ์„ ๊ฐ€์†ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์— ๋Œ€ํ•ด ์ œ์‹œํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.Alzheimers disease (AD), a devastating form of dementia is the most common-age related neurological disorder. Extracellular Aฮฒ accumulation and abnormal folding of intracellular hyper-phosphorylated tau proteins are two hall-marks of Alzheimers disease pathology. Recently, many studies have been focused on the maintenance of essential and principal physiological functions or the functional recovery of cellular organelles functions to increase the cell viability. Since mitochondrial dysfunction and accumnulation of autophagosomes are one of them, this study tried to reveal the mechanisms underlying between those risk factors and AD pathology progression. We found out that Aฮฒ-induced disruption of mitochondrial morphology and function is mainly caused by Crif1 (CR6-interacting factor 1) loss. Furthermore, since Crif1 over-expression could recover Aฮฒ-induced mitochondrial dysfunction, mitochondrial morphology disruption and decrease of cell viability in SH-SY5Y cells, Crif1 might be the good therapeutic target for AD maintaining mitochondrial functions. In addition, this study additionally confirmed that Tsp1 (Thrombospondin-1), which is released from astrocytes in CNS, appears to protect mitochondrial morphology and functions by inhibiting Aฮฒ-induced calcium mediated calcineurin activation and following decrease of p-Drp1 level, which also can be a potential therapeutic strategy for AD. The association between type 2 diabetes and AD has been known to be quite strong. This study revealed the effect of metformin in Aฮฒ production by showing that metformin accumulates autophagosomes where amyloidogenic APP processing is facilitated in HT22 cells. Based on these results, it is highly possible that maintaining mitochondrial function might be a good therapeutic approach in treating AD. Furthermore, this study also warns us for the effect of metformin that might contribute to AD pathology by enhancing Aฮฒ generation.์„œ๋ก  1 Part 1. ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์—์„œ ๊ด€์ฐฐ๋˜๋Š” Crif1 ๋‹จ๋ฐฑ์งˆ์˜ ๊ฐ์†Œ๋กœ ์ดˆ๋ž˜๋˜๋Š” ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ์ €ํ•ด ์—ฐ๊ตฌ 3 Part 2. Tsp-1์˜ A์— ์˜ํ•œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ตฌ์กฐ ๋ง๊ฐ€์ง ๋ฐ ๊ธฐ๋Šฅ ์ด์ƒ์—์˜ ํšŒ๋ณต ๊ธฐ์ „ ์—ฐ๊ตฌ 4 Part 3. Metformin์— ์˜ํ•œ A ์ƒ์„ฑ ์ฆ๊ฐ€ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ์—ฐ๊ตฌ 5 ์‹คํ—˜์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ• 17 1. ์‹คํ—˜์— ์ด์šฉ๋œ ์‹คํ—˜๋™๋ฌผ 17 2. ์ œ 2ํ˜• ๋‹น๋‡จ๋ณ‘ ์น˜๋ฃŒ์ œ์ธ metforminํˆฌ์—ฌ ๋ฐฉ๋ฒ• 18 3. ์„ธํฌ์ฃผ ๋ฐ ์„ธํฌ๋ฐฐ์–‘ (Cell line and Cell culture) 18 4. ์‹œ์•ฝ (Reagents) 19 5. ํ”Œ๋ผ์Šค๋ฏธ๋“œ DNA ๋ฐ siRNA ํ˜•์งˆ์ฃผ์ž… (Transfection) 19 6. ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ๋ถ„์„ 20 7. ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๋ชจ์–‘ ๋ถ„์„ 21 8. ์›จ์Šคํ„ด ๋ธ”๋กฏ (Western Blot) 22 9. ์„ธํฌ ํ™œ์„ฑ ๋ถ„์„ ์‹คํ—˜ 24 10. RNA ๋ถ„๋ฆฌ์™€ ์—ญ์ „์‚ฌ ์ค‘ํ•ฉ์—ฐ์‡„ํšจ์†Œ๋ฐ˜์‘ (RT-PCR) 26 11. ์ •๋Ÿ‰์  ์‹ค์‹œ๊ฐ„ ์ค‘ํ•ฉ์—ฐ์‡„ํšจ์†Œ๋ฐ˜์‘ (qRT-PCR) 26 12. ์ „๊ธฐ์ด๋™ ๊ธฐ๋™์„ฑ ๊ต๋Œ€ ์‹คํ—˜ (EMSA) 27 13. ๋ฉด์—ญ์นจ๊ฐ•๋ฒ• (Immunoprecipitation) 27 14. ๋ฉด์—ญ์กฐ์ง์—ผ์ƒ‰ (Immunohistochemistry) 28 15. ์„ธํฌ ๋‚ด ์นผ์Š˜ ์ธก์ • 29 16. Luciferase reporter gene assay 30 17. BACE1 promoter activity assay 30 18. A ELISA assay 31 19. Trichloroacetic acid (TCA) precipitation 32 20. ์ „์žํ˜„๋ฏธ๊ฒฝ ๊ด€์ฐฐ 32 21. Microsome enriched crude fraction ๋ถ„๋ฆฌ 33 22. In vitro peptide cleavage assay 34 23. A1-42 ์ค€๋น„ (A1-42 preparation) 35 24. ํ†ต๊ณ„์ฒ˜๋ฆฌ 35 ๊ฒฐ๊ณผ 36 Part 1. A์— ์˜ํ•œ Crif1 ๋‹จ๋ฐฑ์งˆ์˜ ๊ฐ์†Œ๋กœ ์ดˆ๋ž˜๋˜๋Š” ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ์ €ํ•ด ์—ฐ๊ตฌ 36 1. 5XFAD ์ฅ์™€ ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘ ํ™˜์ž์˜ ๋ณ‘๋ณ€ ์ง€์—ญ์—์„œ ๋ณด์ด๋Š” Crif1 ๋‹จ๋ฐฑ์งˆ์˜ ์ €ํ•˜ 36 2. A์— ์˜ํ•ด ์ฆ๊ฐ€ํ•œ ROS๊ฐ€ Sp1์˜ ์ „์‚ฌ ํ™œ์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 38 3. ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„ ๋ชจ์–‘ ์œ ์ง€์— ์žˆ์–ด์„œ์˜ Crif1์˜ ์—ญํ•  40 4. Crif1์˜ ๊ฐ์†Œ๊ฐ€ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„ ๊ธฐ๋Šฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 42 5. A์— ์˜ํ•œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„ ๋ชจ์–‘ ๋ง๊ฐ€์ง๊ณผ ๊ธฐ๋Šฅ ์ด์ƒ์— Crif1 ๊ณผ๋ฐœํ˜„์ด ๊ฐ€์ง€๋Š” ํšŒ๋ณต ํšจ๊ณผ 43 6. Crif1์˜ ์–‘์ด A์— ์˜ํ•œ ์„ธํฌ ํ™œ์„ฑ ๊ฐ์†Œ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 43 Part 2. Tsp1์— ์˜ํ•œ ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์—์„œ์˜ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„ ๊ธฐ๋Šฅ ์ด์ƒ ํšŒ๋ณต ์—ฐ๊ตฌ 70 1. Tsp1์ด A์— ์˜ํ•œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ณผ๋„ํ•œ ๋ถ„์—ด์„ ์ €ํ•ดํ•จ์„ ํ™•์ธ 70 2. Tsp1์ด A์— ์˜ํ•œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„ ๊ธฐ๋Šฅ ์ด์ƒ์„ ์ €ํ•ดํ•จ์„ ํ™•์ธ 71 3. Tsp1์ด A์— ์˜ํ•œ ์‹ ๊ฒฝ ์„ธํฌ์‚ฌ๋ฅผ ์ €ํ•ดํ•จ์„ ํ™•์ธ 71 4. Tsp1์ด A์— ์˜ํ•œ calcineurin ํ™œ์„ฑํ™”์™€ p-Drp1 ๋‹จ๋ฐฑ์งˆ์˜ ๊ฐ์†Œ๋ฅผ ์ €ํ•ดํ•จ์„ ํ™•์ธ 72 Part 3. Metformin์— ์˜ํ•œ A ์ƒ์„ฑ ์ฆ๊ฐ€ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ์—ฐ๊ตฌ 83 1. 5XFAD ์ฅ์˜ ๋‡Œ์—์„œ metformin์˜ A ํ”Œ๋ผํฌ ํ˜•์„ฑ ์ฆ๊ฐ€์™€ A42 ์ƒ์„ฑ ์ฆ๊ฐ€ ํšจ๊ณผ 83 2. Metformin์ด SH-SY5Y ์„ธํฌ์—์„œ ๋ฒ ํƒ€-, ๊ฐ๋งˆ-์‹œํฌ๋ฆฌํ…Œ์•„์ œ์˜ ํ™œ์„ฑ์„ ์ฆ๊ฐ€์‹œ์ผœ A๋ฅผ ์ฆ๊ฐ€์‹œํ‚ด์„ ํ™•์ธ 84 3. Metformin์ด SH-SY5Y์„ธํฌ์—์„œ autophagosome์„ ์ถ•์ ์‹œํ‚ด์„ ํ™•์ธ 85 4. Metformin์— ์˜ํ•œ autophagosome ์ฆ๊ฐ€๋Š” AMPK ์‹ ํ˜ธ์ „๋‹ฌ ๊ฒฝ๋กœ์— ์˜์กด์ ์ž„์„ ๊ทœ๋ช… 86 ๊ณ ์ฐฐ 96 Part 1. ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘์—์„œ ๊ด€์ฐฐ๋˜๋Š” Crif1 ๋‹จ๋ฐฑ์งˆ์˜ ๊ฐ์†Œ๋กœ ์ดˆ๋ž˜๋˜๋Š” ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ธฐ๋Šฅ ์ €ํ•ด ์—ฐ๊ตฌ 97 Part 2. Tsp1์˜ A์— ์˜ํ•œ ๋ฏธํ† ์ฝ˜๋“œ๋ฆฌ์•„์˜ ๊ตฌ์กฐ ๋ง๊ฐ€์ง๊ณผ ๊ธฐ๋Šฅ ์ด์ƒ์—์˜ ํšŒ๋ณต ๊ธฐ์ „ ์—ฐ๊ตฌ 102 Part 3. Metformin์— ์˜ํ•œ A ์ƒ์„ฑ ์ฆ๊ฐ€ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ์—ฐ๊ตฌ 106 ๊ฒฐ๋ก  113 ์ฐธ๊ณ ๋ฌธํ—Œ 116 Abstract 124Docto

    Unmasking molecular profiles of bladder cancer

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    Precision medicine is designed to tailor treatments for individual patients by factoring in each person's specific biology and mechanism of disease. This paradigm shifted from a โ€œone size fits allโ€ approach to โ€œpersonalized and precision careโ€ requires multiple layers of molecular profiling of biomarkers for accurate diagnosis and prediction of treatment responses. Intensive studies are also being performed to understand the complex and dynamic molecular profiles of bladder cancer. These efforts involve looking bladder cancer mechanism at the multiple levels of the genome, epigenome, transcriptome, proteome, lipidome, metabolome etc. The aim of this short review is to outline the current technologies being used to investigate molecular profiles and discuss biomarker candidates that have been investigated as possible diagnostic and prognostic indicators of bladder cancer
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