Also published as: A Ram Kim, Ae-Jung Kim, Ah-Ram Kim, Albert H Kim, Alison J Kim, Andrea J Kim, Angela H Kim, Angela Kim, Angela S Kim, Anna Kim, Anthony S Kim, Aram Kim, Arie Kim, B T Kim, B-Y Kim, Baek Kim, Beom-Jun Kim, Beomsoo Kim, Beomsu Kim, Bo Ri Kim, Bo Young Kim, Bo-Eun Kim, Bo-Ra Kim, Bo-Rahm Kim, Bomi Kim, Bong-Jo Kim, Bongjun Kim, Boo-Young Kim, Borahm Kim, Boram Kim, Brandon J Kim, Brian S Kim, Byeong-Won Kim, Byoung Jae Kim, Byron Kim, Byung Guk Kim, Byung Jin Kim, Byung-Chul Kim, Byung-Gyu Kim, Byung-Taek Kim, Byungwook Kim, C H Kim, Carla F Kim, Caroline Kim, Cecilia E Kim, Cecilia Kim, Chae-Hyun Kim, Chan Wook Kim, Chan-Duck Kim, Chan-Hee Kim, Chan-Wha Kim, Chang Seong Kim, Chang-Gu Kim, Chang-Yub Kim, Chanhee Kim, Cheol-Hee Kim, Cheol-Su Kim, Cheorl-Ho Kim, Choel Kim, Chong Ae Kim, Chong Kook Kim, Chongtae Kim, Choon Ok Kim, Choon-Song Kim, Chu-Young Kim, Chul Hoon Kim, Chul Hwan Kim, Chul-Hong Kim, Chunki Kim, D-W Kim, Da Sol Kim, Da-Hyun Kim, Da-Sol Kim, Dae Hyun Kim, Dae In Kim, Dae Keun Kim, Dae-Eun Kim, Dae-Jin Kim, Dae-Kyeong Kim, Dae-Kyum Kim, Dae-Soo Kim, Daeeun Kim, Daegyeom Kim, Daeseung Kim, Daesik Kim, Daham Kim, Dahee Kim, Dakyung Kim, Dan Say Kim, David E Kim, Dayoung Kim, Dennis Y Kim, Deok Ryong Kim, Deok-Ho Kim, Deokhoon Kim, Do Hyung Kim, Do Yeon Kim, Do-Hyung Kim, Do-Kyun Kim, Dokyoon Kim, Don-Kyu Kim, Dong Gwang Kim, Dong Ha Kim, Dong Hyun Kim, Dong Il Kim, Dong Joon Kim, Dong Wook Kim, Dong-Eun Kim, Dong-Hee Kim, Dong-Hoon Kim, Dong-Hyeok Kim, Dong-Hyun Kim, Dong-Ik Kim, Dong-Kyu Kim, Dong-Seok Kim, Dong-Wook Kim, Dong-Yi Kim, Dong-il Kim, Donghee Kim, Donghyeon Kim, Donghyun Kim, Dongjoon Kim, Dongkyun Kim, Dongwoo Kim, Doo Yeon Kim, Doo Yeong Kim, Doyeon Kim, Duck-Hee Kim, E Kim, E-S Kim, Edwin H Kim, Eiru Kim, Elizabeth H Kim, Ellen Kim, Eonmi Kim, Eosu Kim, Eric Eunshik Kim, Eric Kim, Esl Kim, Esther Kim, Eui Hyun Kim, Eui Jin Kim, Eui-Soon Kim, Eun Hee Kim, Eun Ho Kim, Eun Ji Kim, Eun Kim, Eun Young Kim, Eun-Jin Kim, Eun-Joo Kim, Eun-Jung Kim, Eun-Kyung Kim, Eunae Kim, Eung Yeop Kim, Eung-Gook Kim, Eungseok Kim, Eunha Kim, Eunhyun Kim, Eunjoon Kim, Eunju Kim, Eunkyeong Kim, Eunmi Kim, Gahyun Kim, Geun-Young Kim, Gi Beom Kim, Gibae Kim, Gitae Kim, Go Woon Kim, Goo-Young Kim, Goun Kim, Grace Kim, Gu-Hwan Kim, Gukhan Kim, Gunhee Kim, Gwang Sik Kim, Gwangil Kim, Gye Lim Kim, Gyeonghun Kim, Gyudong Kim, H Kim, H S Kim, Ha-Jung Kim, Ha-Neui Kim, Hae Won Kim, Haein Kim, Haelee Kim, Haeryoung Kim, Hail Kim, Han Gyung Kim, Han Young Kim, Han-Kyul Kim, Hana Kim, Hanah Kim, Hang-Rai Kim, Hannah Kim, Hark Kyun Kim, Hee Jeong Kim, Hee Jin Kim, Hee Jong Kim, Hee Nam Kim, Hee Su Kim, Hee Young Kim, Hee-Jin Kim, Hee-Sun Kim, Heebal Kim, Heegoo Kim, Heejin Kim, Hei Sung Kim, Helen B Kim, Helen Kim, Heung-Joong Kim, Ho Shik Kim, Ho-Sook Kim, Hoguen Kim, Hong Sug Kim, Hong-Gi Kim, Hong-Hee Kim, Hong-Kook Kim, Hong-Kyu Kim, Hoon Kim, Hoon Seok Kim, Howard H Kim, Hwa-Jung Kim, Hwajung Kim, Hwi Seung Kim, Hwijin Kim, Hye Jin Kim, Hye Ran Kim, Hye Ree Kim, Hye Young Kim, Hye Yun Kim, Hye-Jin Kim, Hye-Jung Kim, Hye-Ran Kim, Hye-Sung Kim, Hye-Yeon Kim, Hye-Young H Kim, Hyejin Kim, Hyelim Kim, Hyemin Kim, Hyeon Ho Kim, Hyeon Jeong Kim, Hyeon-Ah Kim, Hyeong Hoe Kim, Hyeong Su Kim, Hyeong-Geug Kim, Hyeong-Jin Kim, Hyeong-Rok Kim, Hyeong-Taek Kim, Hyeonwoo Kim, Hyeseon Kim, Hyesung Kim, Hyeung-Rak Kim, Hyeyoon Kim, Hyeyoung Kim, Hyo Jung Kim, Hyo-Soo Kim, Hyojin Kim, Hyojung Kim, Hyoun Ju Kim, Hyoun-Ah Kim, Hyoung Kyu Kim, Hyuk Soon Kim, Hyun Eun Kim, Hyun Gi Kim, Hyun Joon Kim, Hyun Ju Kim, Hyun Kim, Hyun Sil Kim, Hyun Soo Kim, Hyun Sook Kim, Hyun-Ji Kim, Hyun-Jin Kim, Hyun-Jung Kim, Hyun-Kyong Kim, Hyun-Sic Kim, Hyun-Soo Kim, Hyun-Yi Kim, Hyun-Young Kim, Hyun-ju Kim, Hyunbae Kim, Hyung Bum Kim, Hyung Hoi Kim, Hyung Min Kim, Hyung Yoon Kim, Hyung-Goo Kim, Hyung-Gu Kim, Hyung-Jun Kim, Hyung-Mi Kim, Hyung-Ryong Kim, Hyung-Seok Kim, Hyung-Sik Kim, Hyung-Suk Kim, Hyungjun Kim, Hyungkuen Kim, Hyungsoo Kim, Hyunjin Kim, Hyunjoon Kim, Hyunju Kim, Hyunki Kim, Hyunmi Kim, Hyunsoo Kim, Hyunwoo Kim, Hyunwook Kim, Hyunyoung Kim, Ick Young Kim, Il-Chan Kim, Il-Man Kim, Il-Sup Kim, In Ja Kim, In Joo Kim, In Kyoung Kim, In Su Kim, In Suk Kim, In-Hoo Kim, J H Kim, J Julie Kim, J Y Kim, Jae Bum Kim, Jae Geun Kim, Jae Gon Kim, Jae Hoon Kim, Jae Hun Kim, Jae Hyoung Kim, Jae Hyun Kim, Jae Seon Kim, Jae Suk Kim, Jae T Kim, Jae-Ick Kim, Jae-Jun Kim, Jae-Jung Kim, Jae-Min Kim, Jae-Ryong Kim, Jae-Yong Kim, Jae-Yoon Kim, Jae-Young Kim, Jaegil Kim, Jaehoon Kim, Jaemi Kim, Jaeuk U Kim, Jaewon Kim, Jaeyeon Kim, Jaeyoon Kim, Jang Heub Kim, Jang-Hee Kim, Jason K Kim, Jason Kim, Jayoun Kim, Jee Ah Kim, Jeeho Kim, Jeewoo Kim, Jeeyoung Kim, Jeffrey J Kim, Jeffrey Kim, Jenny H Kim, Jeong Hee Kim, Jeong Kyu Kim, Jeong Su Kim, Jeong-Han Kim, Jeong-Min Kim, Jeonghan Kim, Jeongseon Kim, Jeongseop Kim, Jeri Kim, Jessica Kim, Jewoo Kim, Ji Eun Kim, Ji Hun Kim, Ji Hye Kim, Ji Hyun Kim, Ji Won Kim, Ji Yeon Kim, Ji Young Kim, Ji-Dam Kim, Ji-Eun Kim, Ji-Hoon Kim, Ji-Man Kim, Ji-Won Kim, Ji-Woon Kim, Ji-Young Kim, Ji-Yul Kim, Ji-Yun Kim, Jieun Kim, Jiha Kim, Jiho Kim, Jihoon Kim, Jihye Kim, Jihyun Kim, Jimi Kim, Jin Cheon Kim, Jin Gyeom Kim, Jin Hee Kim, Jin Kim, Jin Kyong Kim, Jin Man Kim, Jin Seok Kim, Jin Won Kim, Jin Woo Kim, Jin Young Kim, Jin-Chul Kim, Jin-Soo Kim, Jina Kim, Jinhee Kim, Jinho Kim, Jinkyeong Kim, Jinsoo Kim, Jinsu Kim, Jinsup Kim, Jisook Kim, Jisu Kim, Jisun Kim, Jisup Kim, Jiwon Kim, Jiyea Kim, Jiyeon Kim, Jong Deog Kim, Jong Geun Kim, Jong Han Kim, Jong Heon Kim, Jong Ho Kim, Jong Hwan Kim, Jong Won Kim, Jong Woo Kim, Jong Yeol Kim, Jong-Ho Kim, Jong-Hyun Kim, Jong-Il Kim, Jong-Joo Kim, Jong-Ki Kim, Jong-Kyu Kim, Jong-Oh Kim, Jong-Seo Kim, Jong-Seok Kim, Jong-Won Kim, Jong-Yeon Kim, Jong-Youn Kim, JongKyong Kim, Jongchan Kim, Jonggeol J Kim, Jonggeol Jeffrey Kim, Jongho Kim, Jongkyu Kim, Jongmyung Kim, Jongwan Kim, Jooho Kim, Joon Kim, Joong Sun Kim, Joong-Seok Kim, Joonki Kim, Joonseok Kim, Joonyoung Kim, Joonyoung R Kim, Joori Kim, Joseph C Kim, Joseph Han Sol Kim, Joung Sug Kim, Joungmok Kim, Ju Deok Kim, Ju Han Kim, Ju Young Kim, Ju-Kon Kim, Ju-Ryoung Kim, Ju-Wan Kim, Juhyun Kim, Jun Chul Kim, Jun Hee Kim, Jun Hoe Kim, Jun Pyo Kim, Jun Seok Kim, Jun Suk Kim, Jun W Kim, Jun-Hyung Kim, Jun-Mo Kim, Jun-Sik Kim, June Hee Kim, June Soo Kim, June-Bum Kim, Junesun Kim, Jung Dae Kim, Jung H Kim, Jung Hee Kim, Jung Ho Kim, Jung Ki Kim, Jung Oh Kim, Jung Soo Kim, Jung Sun Kim, Jung-Ha Kim, Jung-Hyun Kim, Jung-In Kim, Jung-Lye Kim, Jung-Taek Kim, Jung-Woong Kim, JungMin Kim, Jungeun Kim, Jungsu Kim, Jungwoo Kim, Juyeong Kim, Juyong B Kim, Juyoung Kim, K-K Kim, K-S Kim, Kahye Kim, Kang Ho Kim, Kangjoon Kim, Kee-Pyo Kim, Kee-Tae Kim, Kellan Kim, Keun You Kim, Kevin K Kim, Ki Hyun Kim, Ki Kwon Kim, Ki Tae Kim, Ki Woong Kim, Kil-Nam Kim, Kiyoung Kim, Kook Hwan Kim, Kwan Hyun Kim, Kwan-Suk Kim, Kwang Dong Kim, Kwang Pyo Kim, Kwang-Eun Kim, Kwang-Pyo Kim, Kwangho Kim, Kwangwoo Kim, Kwonseop Kim, Kye Hun Kim, Kye Hyun Kim, Kye-Seong Kim, Kyeong Jin Kim, Kyeong-Min Kim, Kyeongjin Kim, Kyeongmi Kim, Kyong Min Kim, Kyong-Tai Kim, Kyoung Hoon Kim, Kyoung Hwan Kim, Kyoung Oh Kim, Kyoungtae Kim, Kyu-Kwang Kim, Kyuho Kim, Kyung An Kim, Kyung Do Kim, Kyung Han Kim, Kyung Hee Kim, Kyung Mee Kim, Kyung Sup Kim, Kyung Woo Kim, Kyung-Chang Kim, Kyung-Hee Kim, Kyung-Sub Kim, Kyung-Sup Kim, Kyunga Kim, Kyunggon Kim, Kyungjin Kim, Kyungsook Kim, Kyungtae Kim, Kyungwon Kim, Leen Kim, Leo A Kim, Leo Kim, Lia Kim, Luke Y Kim, M J Kim, M Kim, M V Kim, Maya Kim, Meelim Kim, Meesun Kim, Mi Jeong Kim, Mi Kyung Kim, Mi Ok Kim, Mi Ra Kim, Mi Young Kim, Mi-Hyun Kim, Mi-Na Kim, Mi-Sung Kim, Mi-Yeon Kim, Mi-Young Kim, Mijeong Kim, Mijung Kim, Min Bum Kim, Min Cheol Kim, Min Chul Kim, Min Joo Kim, Min Ju Kim, Min Jung Kim, Min Kim, Min Kyeong Kim, Min Seo Kim, Min Soo Kim, Min Wook Kim, Min-A Kim, Min-Gon Kim, Min-Hyun Kim, Min-Seo Kim, Min-Seon Kim, Min-Sik Kim, Min-Sun Kim, Min-Young Kim, Mina K Kim, Minah Kim, Minchul Kim, Minhee Kim, Minjae Kim, Minjeong Kim, Minji Kim, Minjoo Kim, Minju Kim, Minkyeong Kim, Minkyung Kim, Minseon Kim, Minsik Kim, Minsoon Kim, Minsu Kim, Minsuk Kim, Miri Kim, Miso Kim, Misu Kim, Misun Kim, Misung Kim, Moo-Yeon Kim, Moon Suk Kim, Myeong Ji Kim, Myeong Ok Kim, Myeong-Kyu Kim, Myeoung Su Kim, Myoung Hee Kim, Myoung Ok Kim, Myoung Sook Kim, Myung Jin Kim, Myung-Jin Kim, Myung-Sun Kim, Myung-Sunny Kim, Myungshin Kim, Myungsuk Kim, Na Yeon Kim, Na-Kuang Kim, Na-Young Kim, Nam Hee Kim, Nam-Eun Kim, Nam-Ho Kim, Nam-Hyung Kim, NamDoo Kim, NamHee Kim, Namkyoung Kim, Namphil Kim, Nan Young Kim, Nari Kim, Ngoc Thanh Kim, Ngoc-Thanh Kim, Oc-Hee Kim, Oh Yoen Kim, Ohn Soon Kim, Ok Jin Kim, Ok-Hwa Kim, Ok-Hyeon Kim, Ok-Kyung Kim, Okhwa Kim, Paul H Kim, Paul Kim, Paul T Kim, Peter K Kim, Reuben H Kim, Richard B Kim, Richard Kim, Rokki Kim, Rosalind Kim, Ryung S Kim, S Kim, S Y Kim, Sae Hun Kim, Saerom Kim, Sang Chan Kim, Sang Eun Kim, Sang Geon Kim, Sang Hyuk Kim, Sang Jin Kim, Sang Ryong Kim, Sang Soo Kim, Sang Wun Kim, Sang-Gun Kim, Sang-Hoon Kim, Sang-Min Kim, Sang-Tae Kim, Sang-Woo Kim, Sang-Young Kim, Sangchul Kim, Sangmi Kim, Sangsoo Kim, Sangwoo Kim, Scott Y H Kim, Se Hyun Kim, Se-Wha Kim, Sejoong Kim, Seohyeon Kim, Seohyun Kim, Seok Won Kim, Seokhwi Kim, Seokjoong Kim, Seol-A Kim, Seon Hee Kim, Seon Hwa Kim, Seon-Kyu Kim, Seon-Young Kim, Seong Jun Kim, Seong Kim, Seong-Hyun Kim, Seong-Ik Kim, Seong-Jin Kim, Seong-Min Kim, Seong-Seop Kim, Seong-Tae Kim, Seonggon Kim, Seongho Kim, Seongmi Kim, Seonhee Kim, Seoyeon Kim, Seoyoung Kim, Serim Kim, Seul Young Kim, Seul-Ki Kim, Seulhee Kim, Seung Chul Kim, Seung Jun Kim, Seung Tea Kim, Seung Won Kim, Seung Woo Kim, Seung-Jin Kim, Seung-Ki Kim, Seung-Whan Kim, Seungsoo Kim, Sewoon Kim, Shi-Mun Kim, Shin Kim, Sin Gon Kim, Sinai Kim, So Ree Kim, So Yeon Kim, So Young Kim, So-Hee Kim, So-Woon Kim, So-Yeon Kim, Soee Kim, Soeun Kim, Sohee Kim, Sol Kim, Song-Rae Kim, Soo Hyun Kim, Soo Jung Kim, Soo Wan Kim, Soo Whan Kim, Soo Yoon Kim, Soo Young Kim, Soo-Hyun Kim, Soo-Rim Kim, Soo-Youl Kim, SooHyeon Kim, Sook Young Kim, Soon Hee Kim, Soon Sun Kim, Soon-Hee Kim, Soriul Kim, Soung Jung Kim, Sowon Kim, Soyeong Kim, Steve Kim, Stuart K Kim, Su Jin Kim, Su Kang Kim, Su-Hyeong Kim, Su-Jeong Kim, Su-Jin Kim, Su-Yeon Kim, Suhyun Kim, Suhyung Kim, Suji Kim, Sujin Kim, Sujung Kim, Suk Jae Kim, Suk-Jeong Kim, Suk-Kyung Kim, Sukjun Kim, Sun Hee Kim, Sun Hye Kim, Sun Woong Kim, Sun Yeou Kim, Sun-Gyun Kim, Sun-Hee Kim, Sun-Hong Kim, Sun-Joong Kim, Sung Eun Kim, Sung Han Kim, Sung Hyun Kim, Sung Kyun Kim, Sung Mok Kim, Sung Soo Kim, Sung Tae Kim, Sung Won Kim, Sung Woo Kim, Sung Yeol Kim, Sung Young Kim, Sung-Bae Kim, Sung-Eun Kim, Sung-Hee Kim, Sung-Hoon Kim, Sung-Hou Kim, Sung-Jo Kim, Sung-Kyu Kim, Sung-Mi Kim, Sung-Wan Kim, Sunggun Kim, Sunghak Kim, Sunghoon Kim, Sunghun Kim, Sunghwan Kim, Sungjoo Kim, Sungmin Kim, Sungrae Kim, Sungryong Kim, Sungup Kim, Sungyeon Kim, Sungyun Kim, Sunkyu Kim, Sunoh Kim, Sunyoung Kim, Susy Kim, Sydney Y Kim, Tae Hoen Kim, Tae Hoon Kim, Tae Hun Kim, Tae Hyun Kim, Tae Il Kim, Tae Jin Kim, Tae Min Kim, Tae Wan Kim, Tae-Eun Kim, Tae-Gyu Kim, Tae-Hyoung Kim, Tae-Hyun Kim, Tae-Mi Kim, Tae-Min Kim, Tae-Woon Kim, Tae-You Kim, TaeHyung Kim, TaeYeong Kim, Taeeun Kim, Taehyeung Kim, Taehyoun Kim, Taeil Kim, Taejung Kim, Taek-Kyun Kim, Taek-Yeong Kim, Taewan Kim, Taeyoung Kim, Tai Kyoung Kim, Un Gi Kim, Un-Kyung Kim, Vladimir Kim, Wanil Kim, William Kim, Won Dong Kim, Won Ho Kim, Won J Kim, Won Jeoung Kim, Won Kim, Won Kon Kim, Won Kyung Kim, Won Seok Kim, Won Tae Kim, Won-Tae Kim, Wondong Kim, Woo Jin Kim, Woo Kim, Woo Kyung Kim, Woo Sik Kim, Woo-Jin Kim, Woo-Kyun Kim, Woo-Shik Kim, Woo-Yang Kim, Woojin Scott Kim, Wook Kim, Woong-Ki Kim, Woonhee Kim, Wootae Kim, Wun-Jae Kim, Y A Kim, Y S Kim, Y-D Kim, Y-M Kim, Yangseok Kim, Ye-Ri Kim, Yeaseul Kim, Yeeun Kim, Yeji Kim, Yejin Kim, Yekaterina Kim, Yeon Ju Kim, Yeon-Hee Kim, Yeon-Jeong Kim, Yeon-Jung Kim, Yeon-Ki Kim, Yeong-Sang Kim, Yeonhwa Kim, Yeonjung Kim, Yeonsoo Kim, Yerin Kim, Yeseul Kim, Yeul Hong Kim, Yo-Han Kim, Yong Deuk Kim, Yong Kwan Kim, Yong Kyun Kim, Yong Kyung Kim, Yong Sig Kim, Yong Sik Kim, Yong Sook Kim, Yong Sung Kim, Yong-Hoon Kim, Yong-Lim Kim, Yong-Ou Kim, Yong-Sik Kim, Yong-Soo Kim, Yong-Wan Kim, Yong-Woon Kim, Yongae Kim, Yonghwan Kim, Yongjae Kim, Yongkang Kim, Yongmin Kim, Yoo Ri Kim, Yoojin Kim, Yoon Sook Kim, Yoongeum Kim, Yoonjung Kim, You Sun Kim, You-Jin Kim, You-Sun Kim, Youbin Kim, Youn Shic Kim, Youn-Jung Kim, Youn-Kyung Kim, Young Eun Kim, Young Hee Kim, Young Ho Kim, Young Hun Kim, Young Hwa Kim, Young Jin Kim, Young Ju Kim, Young Mi Kim, Young Nam Kim, Young Rae Kim, Young Ree Kim, Young S Kim, Young Sam Kim, Young Sik Kim, Young Tae Kim, Young Woo Kim, Young-Bum Kim, Young-Cho Kim, Young-Chul Kim, Young-Dae Kim, Young-Eun Kim, Young-Ho Kim, Young-Hoon Kim, Young-Il Kim, Young-Im Kim, Young-Jin Kim, Young-Joo Kim, Young-Mi Kim, Young-Saeng Kim, Young-Won Kim, Young-Woo Kim, Young-Woong Kim, Young-Youn Kim, Youngchang Kim, Youngchul Kim, Youngeun Kim, Younghoon Kim, Youngjoo Kim, Youngmi Kim, Youngsin Kim, Youngsoo Kim, Youngsook Kim, Youngwoo Kim, Yu Kyeong Kim, Yu Mi Kim, Yu-Jin Kim, Yul-Ho Kim, Yuli Kim, Yumi Kim, Yun Gi Kim, Yun Hye Kim, Yun Joong Kim, Yun Seok Kim, Yun-Jin Kim, Yunjung Kim, Yunkyung Kim, Yunwoo Kim
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by cognitive decline, oxidative stress, neuroinflammation, amyloid-beta (Aβ) accumulation, and tau protein hyperphosphory Show more
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by cognitive decline, oxidative stress, neuroinflammation, amyloid-beta (Aβ) accumulation, and tau protein hyperphosphorylation. In this study, we synthesized novel Ramalin derivatives and evaluated their therapeutic potential against AD, focusing on antioxidant, anti-inflammatory, and neuroprotective activities. RA-2OMe, RA-4OMe, RA-2CF3, and RA-4OCF3 showed strong antioxidant effects, while RA-2OMe exhibited potent NO and NLRP3 inhibition (~20%). RA-NAP, RA-PYD, and RA-2Q showed moderate anti-inflammatory activity. BACE-1 inhibition was significant in RA-3CF3, RA-NAP, and RA-PYD, with IC Show less
Seven compounds, comprising three anthraquinones and four stilbenoids, were isolated from the roots of Rheum palmatum L. These compounds include chrysophanol (1), aloe-emodin (2), aloe-emodin 8-O-β-D- Show more
Seven compounds, comprising three anthraquinones and four stilbenoids, were isolated from the roots of Rheum palmatum L. These compounds include chrysophanol (1), aloe-emodin (2), aloe-emodin 8-O-β-D-glucopyranoside (3), desoxyrhapontigenin (4), rhapontigenin (5), desoxyrhaponticin (6), and piceatannol 3'-O-β-D-glucopyranoside (7). Among these, compound 5 showed potent β-site amyloid precursor protein cleaving enzyme 1 (BACE1) inhibitory activity with an IC Show less
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by cognitive decline, anxiety-like behavior, β-amyloid (Aβ) accumulation, and tau hyperphosphorylation. BACE1, the Show more
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by cognitive decline, anxiety-like behavior, β-amyloid (Aβ) accumulation, and tau hyperphosphorylation. BACE1, the enzyme critical for Aβ production, has been a major therapeutic target; however, direct BACE1 inhibition has been associated with adverse side effects. This study investigates the therapeutic potential of RA-PR058, a novel ramalin derivative, as a multi-targeted modulator of AD-related pathologies. The effects of RA-PR058 were evaluated Show less
Alzheimer's disease (AD) is the most common type of dementia. Its incidence is rising rapidly as the global population ages, leading to a significant social and economic burden. AD involves complex pa Show more
Alzheimer's disease (AD) is the most common type of dementia. Its incidence is rising rapidly as the global population ages, leading to a significant social and economic burden. AD involves complex pathologies, including amyloid plaque accumulation, synaptic dysfunction, and neuroinflammation. This study explores the therapeutic potential of N Show less
Alzheimer's disease (AD) prevention is a critical challenge for aging societies, necessitating the exploration of food ingredients and whole foods as potential therapeutic agents. This study aimed to Show more
Alzheimer's disease (AD) prevention is a critical challenge for aging societies, necessitating the exploration of food ingredients and whole foods as potential therapeutic agents. This study aimed to identify natural compounds (NCs) with therapeutic potential in AD using an innovative bioinformatics-integrated deep neural analysis approach, combining computational predictions with molecular docking and in vitro experiments for comprehensive evaluation. We employed the bioinformatics-integrated deep neural analysis of NCs for Disease Discovery (BioDeepNat) application in the data collected from chemical databases. Random forest regression models were utilized to predict the IC Show less
β-secretase (BACE1) is instrumental in amyloid-β (Aβ) production, with overexpression noted in Alzheimer's disease (AD) neuropathology. The interaction of Aβ with the receptor for advanced glycation e Show more
β-secretase (BACE1) is instrumental in amyloid-β (Aβ) production, with overexpression noted in Alzheimer's disease (AD) neuropathology. The interaction of Aβ with the receptor for advanced glycation endproducts (RAGE) facilitates cerebral uptake of Aβ and exacerbates its neurotoxicity and neuroinflammation, further augmenting BACE1 expression. Given the limitations of previous BACE1 inhibition efforts, the study explores reducing BACE1 expression to mitigate AD pathology. The research reveals that the anticancer agent 6-thioguanosine (6-TG) markedly diminishes BACE1 expression without eliciting cytotoxicity while enhancing microglial phagocytic activity, and ameliorate cognitive impairments with reducing Aβ accumulation in AD mice. Leveraging advanced deep learning-based tool for target identification, and corroborating with surface plasmon resonance assays, it is elucidated that 6-TG directly interacts with RAGE, modulating BACE1 expression through the JAK2-STAT1 pathway and elevating soluble RAGE (sRAGE) levels in the brain. The findings illuminate the therapeutic potential of 6-TG in ameliorating AD manifestations and advocate for small molecule strategies to increase brain sRAGE levels, offering a strategic alternative to the challenges posed by the complexity of AD. Show less
This study aimed to develop and apply a novel computational pipeline combining SELFormer, a transformer architecture-based chemical language model, with advanced deep learning techniques to predict na Show more
This study aimed to develop and apply a novel computational pipeline combining SELFormer, a transformer architecture-based chemical language model, with advanced deep learning techniques to predict natural compounds (NCs) with potential in Alzheimer's disease (AD) treatment. The NCs were identified based on activity related to seven AD-specific genes, including acetylcholinesterase (AChE), amyloid precursor protein (APP), beta-secretase 1 (BACE1), and presenilin-1 (PSEN1). We implemented a computational pipeline using SELFormer and deep learning techniques, conducted optimal clustering and quantitative structure-activity relationship (QSAR) analyses, and performed a uniform manifold approximation and projection (UMAP) to categorize compounds based on bioactivity levels. Molecular docking analysis was carried out on selected compounds. To validate the computational predictions, we conducted in vitro studies using nerve growth factor (NGF)-differentiated PC12 cells. Finally, we mapped the relationships between food sources containing the identified compounds and their target proteins. Optimal clustering analysis revealed five distinct groups of NCs, while QSAR analysis highlighted variations in molecular properties across clusters. The UMAP projection identified 17 highly active NCs (pIC This integrated computational and experimental approach offers a promising framework for identifying potential NCs for AD treatment. The results contribute to exploring effective therapeutic strategies against AD. Show less
Nonalcoholic fatty liver disease is a hepatic condition characterized by excessive fat accumulation in the liver with advanced stage nonalcoholic steatohepatitis (NASH), potentially leading to liver f Show more
Nonalcoholic fatty liver disease is a hepatic condition characterized by excessive fat accumulation in the liver with advanced stage nonalcoholic steatohepatitis (NASH), potentially leading to liver fibrosis, cirrhosis, and cancer. Currently, the identification and classification of NASH require invasive liver biopsy, which has certain limitations. Mass spectrometry-based proteomics can detect crucial proteins and pathways implicated in NASH development and progression. We collected the liver and serum samples from choline-deficient, L-amino acid-defined high-fat diet fed NASH C57BL/6J mice and human serum samples to examine proteomic alterations and identify early biomarkers for NASH diagnosis. In-depth targeted multiple reaction monitoring scanning and immunoblotting assays were used to verify the biomarker candidates from mouse liver and serum samples, and enzyme-linked immunosorbent assay (ELISA) was employed to analyze human serum samples. The multiple reaction monitoring analysis of NASH liver revealed 50 proteins with altered expression (21 upregulated and 29 downregulated) that are involved in biological processes such as detoxification, fibrosis, inflammation, and fatty acid metabolism. Ingenuity pathway analysis identified impaired protein synthesis, cellular stress and defense, cellular processes and communication, and metabolism in NASH mouse liver. Immunoblotting analysis confirmed that the expression of proteins associated with fatty acid metabolism (Aldo B and Fasn) and urea cycle (Arg1, Cps1, and Otc) was altered in the mouse liver and serum. Further analysis on human serum samples using ELISA confirmed the increased expression of multiple proteins, including Aldo B, Asl, and Lgals3, demonstrating values of 0.917, 0.979, and 0.965 of area under the curve in NASH diagnosis. These findings offer valuable insights into the molecular mechanisms of NASH and possible diagnostic biomarkers for early detection. Show less
Senescence of mesenchymal stem cells in bone tissue (BMSCs), the primary progenitors of osteoblasts, is a key contributor to age-related osteopenia and osteoporosis. Aged cells exhibit elevated cellul Show more
Senescence of mesenchymal stem cells in bone tissue (BMSCs), the primary progenitors of osteoblasts, is a key contributor to age-related osteopenia and osteoporosis. Aged cells exhibit elevated cellular stress and abnormal accumulation of stress granules (SGs), which contain G-quadruplex (G4) structured nucleic acids and G4-binding proteins. Dhx36, a helicase that unwinds G4 structure, may play a protective role in this context. In this study, we investigated the function of Dhx36 in BMSCs and bone homeostasis by silencing Dhx36 expression in vitro and in vivo. Dhx36 deficiency increased SG formation and impaired their resolution in BMSCs. This was accompanied by reduced expression of G4-containing autophagyrelated genes and diminished autophagic activity. Loss of Dhx36 also enhanced senescence features and impaired BMSC osteogenic differentiation. Dhx36 expression was significantly lower in bone tissue and BMSCs from aged mice, compared to young mice. Moreover, 8-week-old mice with BMSC-specific Dhx36 knockout exhibited reduced bone volume and trabecular number, indicating premature bone loss. Analysis of public singlecell RNA sequencing data further showed that stress induced by 5-fluorouracil in mice suppressed Dhx36 expression in BMSCs, and downregulated genes related to ossification and osteoblast differentiation. Collectively, our findings identify Dhx36 as a regulator of BMSC aging, linking SG dynamics and autophagy to bone homeostasis, and suggest Dhx36 as a potential therapeutic target to prevent age-related bone loss. [BMB Reports 2025; 58(12): 501-510]. Show less
Several KRASG12D inhibitors (KRASG12Di) are under clinical evaluation for pancreatic ductal adenocarcinoma (PDAC). However, as seen with other first generation KRAS inhibitors, resistance may limit th Show more
Several KRASG12D inhibitors (KRASG12Di) are under clinical evaluation for pancreatic ductal adenocarcinoma (PDAC). However, as seen with other first generation KRAS inhibitors, resistance may limit their long-term efficacy, necessitating combination strategies to enhance therapeutic outcomes. Exportin 1 (XPO1), a nuclear transport protein overexpressed in PDAC, represents a therapeutic vulnerability in KRAS-mutant cancers. Here, we demonstrate that the second-generation XPO1 inhibitor Eltanexor synergizes with MRTX1133 to enhance its efficacy in multiple PDAC models. We generated KRASG12Di-resistant PDAC cells and assessed their response to Eltanexor. The antiproliferative effects of MRTX1133 and Eltanexor combinations were evaluated in 2D and 3D Eltanexor sensitized MRTX1133-resistant PDAC cells to growth inhibition. In both 2D and 3D culture models, the combination of Eltanexor and MRTX1133 significantly reduced cell viability. Mechanistically, the combination treatment suppressed key KRAS downstream signaling molecules, including p-ERK, mTOR, p-4EBP1, DUSP6, and cyclin D1. Kinome analysis further revealed reduced MAPK-related kinase activity. Combining subtherapeutic doses of Eltanexor and MRTX1133 resulted in significant tumor regression and prolonged survival in PDAC xenograft and immunocompetent orthotopic allograft models. Moreover, maintenance therapy with Eltanexor prevented tumor relapse, yielding a durable antitumor response. This study demonstrates that Eltanexor overcomes resistance to MRTX1133 and enhances its efficacy in PDAC. The combination regimen may provide a durable therapeutic response while reducing the required dose of KRASG12D inhibitors, potentially delaying resistance and improving patient outcomes. Show less
Repeated ketamine treatment to maintain a rapid antidepressant effect can lead to side effects over time, highlighting an unmet clinical need for sustaining this drug's antidepressant action from a si Show more
Repeated ketamine treatment to maintain a rapid antidepressant effect can lead to side effects over time, highlighting an unmet clinical need for sustaining this drug's antidepressant action from a single administration. Ketamine-induced synaptic potentiation at CA3-CA1 synapses has been proposed to be a key synaptic substrate for antidepressant action. Here, we found that ketamine-induced CA3-CA1 synaptic potentiation could be augmented by transiently increasing extracellular signal-regulated kinase (ERK) activity through pharmacological inhibition of dual-specificity phosphatases 6 (DUSP6). The antidepressant-like behavioral effects of acute ketamine treatment were extended by DUSP6 inhibition for up to 2 months. The selective deletion of tropomyosin receptor kinase B (TrkB) in excitatory neurons abolished these DUSP6 inhibition-mediated synaptic and behavioral effects. These data suggest that ketamine's rapid antidepressant effects can be sustained by selectively targeting downstream intracellular signaling. Show less
Observational studies have suggested associations between dietary polyunsaturated fatty acids (PUFAs) and cancer risk; however, causal inference regarding skin cancer remains limited due to potential Show more
Observational studies have suggested associations between dietary polyunsaturated fatty acids (PUFAs) and cancer risk; however, causal inference regarding skin cancer remains limited due to potential recall bias, confounding, and reverse causation. This study aimed to evaluate the causal association between genetically predicted circulating PUFA levels and the risk of skin cancers, including basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and melanoma. We conducted a 2-sample Mendelian randomization (MR) study using genome-wide association study summary statistics from the UK Biobank (PUFAs, n=115,006) and the FinnGen consortium (BCC, n=26,272; SCC, n=4,663; melanoma, n=5,753). Genetic instruments were derived for omega-3, docosahexaenoic acid, omega-6, linoleic acid, and the omega-6:3 ratio. Multiple MR methods-including inverse-variance weighted, MR-Egger, weighted median, weighted mode, and MR-PRESSO-were applied to test for consistency and assess pleiotropy and heterogeneity. A higher genetically predicted linoleic acid to total fatty acid ratio was associated with a significantly lower risk of BCC and SCC. Conversely, higher genetically proxied serum omega-3 levels were associated with increased risks of BCC, SCC, and melanoma. The risk effect on SCC was attenuated upon exclusion of rs174528, a variant in the fatty acid desaturase 1 ( This MR analysis supports a causal role of circulating PUFAs in skin cancer development and highlights the importance of FADS-mediated endogenous PUFA metabolism. These findings provide novel insights into the genetic and metabolic underpinnings of skin cancer susceptibility. Show less
This study aimed to infer a causal gene network associated with bone metastasis in lung cancer and to validate its reliability through experimental gene expression analysis. Using DNA microarray data Show more
This study aimed to infer a causal gene network associated with bone metastasis in lung cancer and to validate its reliability through experimental gene expression analysis. Using DNA microarray data from the Gene Expression Omnibus, we analyzed samples from primary lung cancer and those with bone metastasis. Commonly expressed genes in both groups were identified, and a causal network was inferred using Bayesian network inference with Java Objects based on the Bayesian Dirichlet score. To evaluate the network, we predicted the expression changes of downstream genes following knockdown of a key upstream gene and compared these predictions with mRNA expression levels in fatty acid desaturase 1 (FADS1)-knockdown lung cancer cells. The genes FADS1, cardiotrophin-like cytokine factor 1 (CLCF1), chromosome 4 open reading frame 48, sushi, nidogen and EGF like domains 1, FK506-binding protein 15, and coenzyme Q10A (COQ10A) were identified as directly associated with lung cancer bone metastasis. Among them, FADS1 appeared to have a regulatory role, influencing downstream targets. Notably, CLCF1 and COQ10A showed significantly increased expression in FADS1-knockdown cells, consistent with the network's predictions. These findings suggest that Bayesian network analysis is a reliable machine learning approach for uncovering causal gene relationships in cancer metastasis. Furthermore, FADS1 may serve as a potential therapeutic target in lung cancer bone metastasis. The validity of this network was supported by in vitro experiments using a lung cancer cell line. Show less
Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving the treatment of diseases. We employed a cross-discipl Show more
Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving the treatment of diseases. We employed a cross-disciplinary approach to identify potential therapeutics for the prevention of metabolic-dysfunction-associated steatotic liver disease (MASLD) in at-risk individuals by using humans as a model organism. We identified 212 putative candidate genes associated with MASLD by using data from a large multi-ancestry genetic association study, of which 158 (74.5%) were previously unreported. From this set, we identified 57 genes that encode for druggable protein targets and for which the effects of increasing genetically predicted gene expression on MASLD risk align with the function of that drug on the protein target. We then used We then evaluated these potential targets for evidence of efficacy by using Mendelian randomization, pathway analysis, and protein structural modeling. Through these approaches, we present compelling evidence to suggest that the activation of FADS1 by icosapent ethyl, as well as S1PR2 by fingolimod, could be a promising therapeutic strategy for MASLD prevention. Show less
Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving treatment of diseases. We employed a cross-disciplinar Show more
Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving treatment of diseases. We employed a cross-disciplinary approach to identify potential treatments for metabolic dysfunction associated steatotic liver disease (MASLD) using humans as a model organism. We identified 212 putative causal genes associated with MASLD using data from a large multi-ancestry genetic association study, of which 158 (74.5%) are novel. From this set we identified 57 genes that encode for druggable protein targets, and where the effects of increasing genetically predicted gene expression on MASLD risk align with the function of that drug on the protein target. These potential targets were then evaluated for evidence of efficacy using Mendelian randomization, pathway analysis, and protein structural modeling. Using these approaches, we present compelling evidence to suggest activation of Show less
Observational studies have demonstrated a close association between polyunsaturated fatty acids (PUFAs) and acne. However, the findings of clinical trials have been inconsistent, leaving the causal re Show more
Observational studies have demonstrated a close association between polyunsaturated fatty acids (PUFAs) and acne. However, the findings of clinical trials have been inconsistent, leaving the causal relationship between PUFAs and acne unclear. To investigate the causal association between genetically proxied PUFAs and acne risk. Mendelian randomization (MR) was performed using single nucleotide polymorphisms associated with PUFAs as instrumental variables. The causal associations between PUFAs and acne were estimated among 115 006 UK Biobank participants and 363 927 participants of Finnish descent. Genetically predicted docosahexaenoic acid (DHA) levels [β = -0.303, 95% confidence interval (CI) -0.480 to -0.126; P = 7.74 × 10-4] and its percentage to total fatty acids (β = -0.402, 95% CI -0.651 to -0.258; P = 5.91 × 10-6) showed a significant causal association with a decreased risk of acne. Conversely, genetically predicted percentages of linoleic acid (LA) in total fatty acids (β = 0.768, 95% CI 0.411-0.126; P = 2.87 × 10-4) and omega-6 : omega-3 ratio (β = 0.373, 95% CI 0.142-0.604; P = 4.48 × 10-3) were robustly associated with an increased risk of acne. These effects were attenuated after excluding a genetic variant of rs174528 located upstream of FADS1, highlighting the biologic link between FADS1 and delta-5 desaturase activity. Multivariable MR analysis indicated that PUFAs were causally associated with acne, independent of body mass index. Our study indicates that high DHA levels and their ratios to total fatty acids have causal protective effects against acne, while high LA levels and omega-6 : omega-3 ratio are associated with increased acne risk. This association was largely attributable to the influence of genetic variants related to FADS1. Show less
Oral squamous cell carcinoma (OSCC) often recurs locally, reducing survival. The oral microbiome may influence tumor recurrence, but its prognostic role is unclear. This study investigated oral microb Show more
Oral squamous cell carcinoma (OSCC) often recurs locally, reducing survival. The oral microbiome may influence tumor recurrence, but its prognostic role is unclear. This study investigated oral microbiomes associated with OSCC recurrence and their prognostic merit. Saliva samples were collected from 133 patients with OSCC. 16S rRNA gene sequencing was performed, and microbial signatures were predicted via XGBoost. Functional metagenomic prediction was conducted using PICRUSt2. XGBoost identified Oral saliva microbiome profiling reveals distinct microbial patterns associated with OSCC recurrence. Our correlation-based functional predictions indicated that the enrichment of Show less
Xenopus embryo serves as an ideal model for teratogenesis assays to observe the effects of any compounds on the cellular processes crucial for early development and adult tissue homeostasis. In our sc Show more
Xenopus embryo serves as an ideal model for teratogenesis assays to observe the effects of any compounds on the cellular processes crucial for early development and adult tissue homeostasis. In our screening of a chemical library with frog embryo, caffeic acid phenethyl ester (CAPE) was found to upregulate the FGF/MAPK pathway, disrupting germ layer formation in early development. Exposure to CAPE interfered with the formation of anterior-posterior body axis and of ectodermal derivatives such as eyes, dorsal fin and pigment cells. These inhibitory effects were achieved by promoting paraxial mesodermal specification and neural differentiation concomitant with a repression of epidermal and neural crest cell fates. This compound also induced the caudalization of anterior neural fate, thereby recapitulating the activity of the FGF/MAPK signals in the anterior-posterior patterning of neural tissue. Consistently, phosphorylation of extracellular signal-regulated kinase (ERK) was elevated in CAPE-treated cells, which was mediated by the FGFR1 and FGFR4 pathway. Together, these results suggest that CAPE functions as an activator of the FGF/MAPK signaling pathway, generating severe teratogenic effects on germ layer specification in vertebrate early development. Show less
Major depressive disorder (MDD) is a complex psychological disorder with a sophisticated molecular etiology. Although its connection with fibroblast growth factor receptor 1 (FGFR1) in the hippocampus Show more
Major depressive disorder (MDD) is a complex psychological disorder with a sophisticated molecular etiology. Although its connection with fibroblast growth factor receptor 1 (FGFR1) in the hippocampus is known, the precise mechanisms underlying its pathophysiology remain unclear. Here we conduct a comprehensive analysis of the molecular profile of the hippocampus in patients with MDD. We identified a distinct overexpression of FGFR1 specifically within the dentate gyrus of patients with MDD. Through the use of optogenetic techniques for the in vivo spatiotemporal dissection of FGFR1 signaling, we uncovered a sequential FGFR1-Notch-brain-derived neurotrophic factor (BDNF) pathway within the dentate gyrus, which can ultimately induce adult hippocampal neurogenesis, significantly contributing to antidepressant effects. We discovered that the dysregulation of this axis by the protein Numb, which demonstrates an age-related increase in individuals with MDD, is closely associated with the development of depressive phenotypes. Remarkably, targeting Numb to restore this axis effectively reversed the depressive phenotype, thus offering new insights into potential therapeutic strategies. Show less
Sex is a key piece of patient information but is often not actively considered in drug use. This is partly due to the lack of molecular evidence at the gene expression level beyond sex chromosomes and Show more
Sex is a key piece of patient information but is often not actively considered in drug use. This is partly due to the lack of molecular evidence at the gene expression level beyond sex chromosomes and sex hormones. We aim to investigate how sex differences in tissue-specific gene expression relate to FDA-approved drugs using the latest database of The Genotype-Tissue Expression (GTEx) V10. Our analysis reveals that 91.4% of FDA-approved drug target genes exhibit sex-differential expression in at least one tissue. The tissues with the most pronounced sex differences include subcutaneous adipose tissue, skeletal muscle, and the pituitary gland, while sex differences are less pronounced in the liver, other brain regions, and the spleen. Sex-differential disease-related genes include those associated with obesity (PPARG, INSR), cancer (FGFR1, CD22), and immunity (IL6R, IL3RA). Based on our findings, we advocate for a policy shift that integrates sex-based molecular data into preclinical studies, drug development, and clinical practices. This paradigm aligns biomedical research with precision medicine, mitigates drug-related risks, and promotes equitable healthcare outcomes. Show less
Fibroblast growth factor receptors (FGFRs) are well-established oncology targets, with aberrant FGFR2 and FGFR3 activation implicated in multiple tumor types, including cholangiocarcinoma and urotheli Show more
Fibroblast growth factor receptors (FGFRs) are well-established oncology targets, with aberrant FGFR2 and FGFR3 activation implicated in multiple tumor types, including cholangiocarcinoma and urothelial carcinoma. Currently approved FGFR2/3-targeted therapies rely on pan-FGFR small-molecule kinase inhibitors, which often lead to off-target toxicities due to unintended inhibition of FGFR1 and FGFR4, as well as acquired resistance driven by gatekeeper mutations. Herein, we report the discovery of INCB126503, a highly potent, orally bioavailable FGFR2/3 inhibitor with excellent isoform selectivity and equipotent activity against gatekeeper mutants. INCB126503 effectively suppresses FGFR signaling in vivo without inducing hyperphosphatemia and demonstrates significant antitumor efficacy in xenograft models harboring FGFR3 genetic alterations. Show less
Recent studies have highlighted the deleterious role of high phosphate intake in hypertension via sympathetic overactivation, yet the underlying mechanisms remain unclear. Dietary phosphate loading tr Show more
Recent studies have highlighted the deleterious role of high phosphate intake in hypertension via sympathetic overactivation, yet the underlying mechanisms remain unclear. Dietary phosphate loading triggers physiologic release of FGF23 (fibroblast growth factor-23) from the bone to maintain phosphate homeostasis. Both FGF23 and FGF receptors (FGFRs) are present in the central nervous system, but their role in neural control of blood pressure during phosphate loading is unknown. We investigated central FGF23/FGFR signaling in high-phosphate diet-induced sympathetic dysregulation of blood pressure in rats. FGF23 protein levels were measured by immunoprecipitation, immunoblotting, and immunohistochemistry. FGF23 translocation into the brain was determined by injecting infrared-labeled FGF23 intravenously into anesthetized Sprague-Dawley rats. Mean arterial pressure (MAP) and renal sympathetic nerve activity (RSNA) responses to hindlimb muscle contraction were measured in decerebrate Sprague-Dawley rats treated with either a normal 0.6% phosphate diet (NP) or a high 1.2% phosphate diet (HP) for 12 weeks before and after intracerebroventricular (ICV) administration of FGFR signaling inhibitors. Excess phosphate intake significantly increased FGF23 protein levels in the brainstem (HP versus NP, Our data reveal a novel pathophysiologic paradigm of high-phosphate diet-induced sympathoexcitation and hypertension by FGF23 crossing into the brain, possibly acting via FGFR4. Show less
SH003, a novel herbal mixture consisting of NSCLC cell lines (A549, H460, HCC827) were treated with SH003 to evaluate cell viability (MTT assay), colony formation, apoptosis (Annexin V/7-AAD staining, Show more
SH003, a novel herbal mixture consisting of NSCLC cell lines (A549, H460, HCC827) were treated with SH003 to evaluate cell viability (MTT assay), colony formation, apoptosis (Annexin V/7-AAD staining, western blot), and cell cycle distribution (PI staining). Phosphorylation of RTKs and related signaling molecules was analyzed using a phospho-RTK array and western blot. NSCLC cell lines A549, H460, and HCC827 treated with SH003 showed significant, dose-dependent cell viability and colony formation reductions. SH003 induced apoptosis, evidenced by increased cleaved PARP and caspase-8 levels, and caused G SH003 is a promising multi-target therapeutic agent for NSCLC, offering a novel strategy to improve patient outcomes. Show less
Xenopus embryo is an ideal model for teratogenesis assays to assess the effects of any compounds on the cellular processes crucial for early development and adult tissue homeostasis. In our screening Show more
Xenopus embryo is an ideal model for teratogenesis assays to assess the effects of any compounds on the cellular processes crucial for early development and adult tissue homeostasis. In our screening of a chemical library with frog embryo to identify novel compounds that exert specific effects on key cellular signaling pathways, perillic acid (PA) was found to disrupt germ layer specification in early development. Thus, the mechanism underlying this effect was investigated. Embryos were exposed to PA during a specific period of early development to observe stage-specific morphological alterations induced by this compound. Whole-mount in situ hybridization was performed to examine its effects on ectodermal and mesodermal differentiation and the anterior-posterior patterning of neural tissue. Western blotting analysis was employed to identify the signaling pathways through which PA influences germ layer formation in Xenopus development. PA-treated embryos exhibited the shortening of the anterior-posterior body axis, truncation of craniofacial structures and malformation of neural crest (NC). These severe morphological defects occurred when embryos became exposed to PA during the gastrula stages. Consistent with these phenotypes, treatment with PA caused significant expansion of neural tissue concomitant with a reduction of epidermal and NC cell fates. Furthermore, PA induced the caudalization of neural fate and expressions of paraxial mesodermal genes, recapitulating the activity of the FGF/MAPK signals in germ layer specification. In line with this, ERK activation could be induced by PA treatment, which was mediated by the FGFR1 pathway. PA affects the anterior-posterior neural patterning and mesodermal specification by activating the FGF/MAPK signaling pathway. Show less
The development of cerebral infarction is multifactorial, including both environmental and genetic factors. This study assessed the association between fibroblast growth factor (FGF)-related gene poly Show more
The development of cerebral infarction is multifactorial, including both environmental and genetic factors. This study assessed the association between fibroblast growth factor (FGF)-related gene polymorphisms and the incidence of cerebral infarction among patients on direct oral anticoagulants (DOACs). Patients over 18 years old with atrial fibrillation who were receiving DOACs for cerebral infarction prevention at Ewha Womans University Mokdong Hospital and Ewha Womans University Seoul Hospital were enrolled in this analysis. Twenty-one single nucleotide polymorphisms (SNPs) from FGF1, FGF2, and FGFR1 were examined. In multivariable logistic regression analysis, three models (Model I: demographic factors only, Model II: demographic factors and genetic factors, and Model III: genetic factors and the CHA Among the 536 candidate patients, 21 (3.9 %) experienced cerebral infarction while taking DOACs. From Model I and Model II, age ≥ 75 years and previous thromboembolic event history increased the risk of cerebral infarction. For genetic factors in Model II and III, FGF1 rs1596776 GG, FGFR1 rs6996321 AA, and FGFR1 rs7012413 TT genotypes were associated with a higher risk of cerebral infarction. The area under the receiver operating curve increased from 0.747 (Model I) to 0.822 (Model II) by adding genetic factors, demonstrating better model performance. This study uncovered the association between FGF-related gene polymorphisms and cerebral infarction among patients with atrial fibrillation undergoing DOAC therapy. Show less