👤 Hyeung-Rak Kim

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧪 BiometalDB 🧬 Extraction
849
Articles
999
Name variants
Also published as: Sung-Hou Kim, H S Kim, Suhyung Kim, Jong-Ho Kim, Mi Ok Kim, Jong Heon Kim, S Y Kim, Chul-Hong Kim, Do Hyung Kim, Sydney Y Kim, Sung Young Kim, So Young Kim, Yeonsoo Kim, Chongtae Kim, Jiha Kim, Myung-Sunny Kim, Hyeong-Rok Kim, Young-Youn Kim, Hye Yun Kim, Miri Kim, Dong Il Kim, Hyeon-Ah Kim, Arie Kim, Esther Kim, Ok-Hwa Kim, Sun-Hee Kim, Juyong B Kim, Joong-Seok Kim, Jong Woo Kim, Saerom Kim, Wondong Kim, Seong-Hyun Kim, Misung Kim, Min Wook Kim, Dong-Ik Kim, Minsuk Kim, Hyung-Jun Kim, Ohn Soon Kim, Sung Han Kim, Jae Hyun Kim, Sewoon Kim, Sung Tae Kim, Richard Kim, Albert H Kim, Ju Deok Kim, Jin Seok Kim, Chong Ae Kim, Hyun-Ji Kim, Yong Kyung Kim, Eunju Kim, Yun Hye Kim, Sun-Hong Kim, Soyeong Kim, Sowon Kim, Young Sik Kim, Jisun Kim, Mi-Hyun Kim, Haein Kim, Byung-Gyu Kim, Jeonghan Kim, JongKyong Kim, Jin Young Kim, So Ree Kim, Hee Jin Kim, Minjae Kim, Hyun Kim, Kyoung Oh Kim, Jiyea Kim, Jun Hoe Kim, Joon Kim, Sunghwan Kim, Bo-Rahm Kim, Namkyoung Kim, Hee Jeong Kim, Aram Kim, Youn-Jung Kim, Joung Sug Kim, Kangjoon Kim, Hail Kim, Younghoon Kim, Eui Jin Kim, Cheol-Su Kim, Jae Geun Kim, Min Kyeong Kim, Ngoc Thanh Kim, Seong-Seop Kim, Ji-Man Kim, Ju-Kon Kim, Hyeong-Taek Kim, Soo Wan Kim, Woong-Ki Kim, Ju-Wan Kim, Sunggun Kim, Kevin K Kim, Sun Woong Kim, Soeun Kim, Jin Kyong Kim, Hoguen Kim, Sungup Kim, Hyungkuen Kim, Ji Hye Kim, Myoung Hee Kim, Min Ju Kim, Jeong Su Kim, Gwang Sik Kim, Anthony S Kim, Ok Jin Kim, Jeongseop Kim, Bo-Eun Kim, Suk-Kyung Kim, Deok-Ho Kim, Woo-Shik Kim, Sang Soo Kim, Hae Won Kim, Mina K Kim, Kiyoung Kim, Paul H Kim, Taeil Kim, Eun-Kyung Kim, Joonyoung R Kim, Da-Sol Kim, Yeaseul Kim, In Ja Kim, Beomsu Kim, Byungwook Kim, Kyung-Hee Kim, Hyeyoon Kim, Sun Yeou Kim, Hyojin Kim, Jongmyung Kim, Yangseok Kim, Jong Ho Kim, Chunki Kim, Seokjoong Kim, Helen Kim, Sungyeon Kim, Mi Ra Kim, Dae-Eun Kim, Young-Dae Kim, Young Mi Kim, Na-Kuang Kim, Yoon Sook Kim, Jayoun Kim, Byoung Jae Kim, Jung Dae Kim, Joseph Han Sol Kim, Daham Kim, Mijung Kim, Yu Kyeong Kim, Yong-Lim Kim, E-S Kim, Jin-Chul Kim, Chan Wook Kim, Hyeong-Jin Kim, Boo-Young Kim, Sang Hyuk Kim, Sung-Mi Kim, Dongwoo Kim, Seul-Ki Kim, Hye Jin Kim, Gibae Kim, Soo Young Kim, Sang Ryong Kim, Sukjun Kim, Dong Joon Kim, Hyo Jung Kim, Yeseul Kim, Jieun Kim, Jongchan Kim, Joseph C Kim, Yong Sik Kim, Nam-Eun Kim, Jun Pyo Kim, Sang-Tae Kim, Brandon J Kim, Hong Sug Kim, Youngjoo Kim, Sun-Gyun Kim, Min-Gon Kim, Young-Woo Kim, Myungshin Kim, Tae Hoen Kim, Soon Hee Kim, Won Kim, Chanhee Kim, Jung Oh Kim, Jun-Sik Kim, Ji Eun Kim, Hyun-Kyong Kim, Jeffrey Kim, Yeonhwa Kim, Jung-In Kim, Chan-Wha Kim, B-Y Kim, B T Kim, Dahee Kim, Taek-Yeong Kim, Yeon Ju Kim, Duck-Hee Kim, Hyunjoon Kim, Young-Saeng Kim, Seohyeon Kim, Soon Sun Kim, Hyeon Jeong Kim, Jae Bum Kim, Yeul Hong Kim, Hyemin Kim, Shin Kim, Juhyun Kim, Chang-Gu Kim, Y S Kim, Dan Say Kim, Ji-Dam Kim, Gwangil Kim, Alison J Kim, Paul T Kim, Kyoung Hoon Kim, Hwa-Jung Kim, Ye-Ri Kim, Youngeun Kim, Cheol-Hee Kim, Hee-Jin Kim, Jason Kim, Youngsin Kim, NamHee Kim, Hyuk Soon Kim, Byung-Chul Kim, Cecilia Kim, S Kim, Tae-Gyu Kim, Kwan-Suk Kim, Seung-Ki Kim, Jee Ah Kim, Moon Suk Kim, Young Ju Kim, Kyoungtae Kim, Yunwoo Kim, J Y Kim, Lia Kim, Soo-Hyun Kim, Byung Jin Kim, You-Sun Kim, Seong Jun Kim, Youngsoo Kim, Yunkyung Kim, Mi Jeong Kim, Myoung Sook Kim, Meelim Kim, Kye-Seong Kim, Chu-Young Kim, Minseon Kim, Minsu Kim, Hye-Jin Kim, Il-Man Kim, Seong-Tae Kim, Dong Ha Kim, Soo Yoon Kim, Donghyeon Kim, Sunoh Kim, Yu-Jin Kim, Yul-Ho Kim, Stuart K Kim, Eric Kim, Soo Hyun Kim, Jae-Young Kim, Jin Hee Kim, Tae Min Kim, Il-Chan Kim, Mi-Na Kim, Yeji Kim, Yo-Han Kim, Yeong-Sang Kim, Eunmi Kim, Taewan Kim, Kyong-Tai Kim, Dae-Kyeong Kim, Yun Seok Kim, Kyung Hee Kim, M Kim, June Hee Kim, Hyun Eun Kim, Eunkyeong Kim, Tae Hyun Kim, Soee Kim, Young-Im Kim, So-Hee Kim, Hyeong Hoe Kim, Hee Young Kim, Leo A Kim, Eungseok Kim, Sungyun Kim, Young S Kim, Min Bum Kim, Min Seo Kim, Tae-You Kim, Jong-Yeon Kim, Tae Hoon Kim, Sungrae Kim, Eun-Jin Kim, Heejin Kim, Tae Jin Kim, Seong-Jin Kim, Young-Chul Kim, Jinkyeong Kim, SooHyeon Kim, Ju Young Kim, Kwangwoo Kim, Un-Kyung Kim, Dong-Hee Kim, Sang Wun Kim, Jin Woo Kim, Gu-Hwan Kim, Young-Mi Kim, Dae-Kyum Kim, Won J Kim, Seung Won Kim, Tae-Min Kim, Seon-Kyu Kim, Hana Kim, Hye Ran Kim, Ji-Yul Kim, Moo-Yeon Kim, Do Yeon Kim, Jun Seok Kim, Su-Jin Kim, Yuli Kim, Jung Ho Kim, Edwin H Kim, Jewoo Kim, A Ram Kim, Grace Kim, Jongho Kim, Hyung Hoi Kim, Soung Jung Kim, Song-Rae Kim, Jinsup Kim, Dong-Kyu Kim, Su-Hyeong Kim, Hye-Ran Kim, Kee-Tae Kim, Nam-Ho Kim, Yoongeum Kim, Jeong-Han Kim, Jin Gyeom Kim, Jinsoo Kim, Mi Young Kim, Hyun-Sic Kim, Steve Kim, Kyung-Sup Kim, Taeyoung Kim, Hyeonwoo Kim, Dong Gwang Kim, Jong-Youn Kim, Hwi Seung Kim, Doo Yeon Kim, Hye Ree Kim, Hyeong-Geug Kim, Jong-Il Kim, Soo Whan Kim, Kwang-Eun Kim, Jong-Won Kim, Eung-Gook Kim, Jaehoon Kim, Yu Mi Kim, J H Kim, Hyoung Kyu Kim, Hark Kyun Kim, Suk Jae Kim, Sung-Hee Kim, Jonggeol J Kim, Sang Eun Kim, Na-Young Kim, Minji Kim, Jeong Kyu Kim, Jongkyu Kim, Jae-Yoon Kim, Hyunjin Kim, Eun Ji Kim, Youngmi Kim, William Kim, Helen B Kim, Jiho Kim, Dae In Kim, Dennis Y Kim, Sunghun Kim, Nari Kim, Doyeon Kim, Sang-Min Kim, Dong-Yi Kim, Myeong-Kyu Kim, Youngsook Kim, Ji-Yun Kim, Sung Woo Kim, Ha-Jung Kim, Yongmin Kim, Angela H Kim, Han Young Kim, Hye-Jung Kim, Hyun-Soo Kim, Hyunju Kim, Jin Man Kim, Hyung-Suk Kim, Young Nam Kim, Hang-Rai Kim, Hyoun-Ah Kim, Hye Young Kim, Sung-Wan Kim, Sung Yeol Kim, Jong-Oh Kim, Y-D Kim, Jong-Hyun Kim, Myung-Sun Kim, Jenny H Kim, Youngchang Kim, Mi Kyung Kim, Eun Young Kim, Okhwa Kim, Jinhee Kim, Y A Kim, Won Kyung Kim, Hyung-Gu Kim, Dongjoon Kim, Woo Sik Kim, Myung Jin Kim, In Suk Kim, Hannah Kim, Ick Young Kim, Hyunsoo Kim, Sung Eun Kim, Yekaterina Kim, Sungjoo Kim, Seonhee Kim, Y-M Kim, Sun Hee Kim, Juyoung Kim, Jung Sun Kim, Ji Young Kim, Hong-Hee Kim, Hye-Sung Kim, Sung-Eun Kim, Wun-Jae Kim, Ji Hyun Kim, Kyung Mee Kim, Hee Nam Kim, Sunghak Kim, Dong-Hoon Kim, Vladimir Kim, Yong-Wan Kim, Seul Young Kim, Myoung Ok Kim, Jong-Seok Kim, H Kim, Minsik Kim, Sang-Young Kim, Donghee Kim, June-Bum Kim, Dong Hyun Kim, Sang Jin Kim, Jihoon Kim, Won Ho Kim, Byeong-Won Kim, Jaegil Kim, Hyung-Goo Kim, Tae Wan Kim, Seonggon Kim, J Julie Kim, Jiwon Kim, Eun-Joo Kim, Seongho Kim, Hyun Soo Kim, Dong Wook Kim, Tae-Hyoung Kim, Anna Kim, Gahyun Kim, Jun-Hyung Kim, Don-Kyu Kim, Jong Hwan Kim, Kyung An Kim, Jun Suk Kim, Borahm Kim, Caroline Kim, Andrea J Kim, Jung-Lye Kim, Yong-Hoon Kim, Dongkyun Kim, Sung Kyun Kim, Jisup Kim, Yong Kyun Kim, Yerin Kim, Young-Eun Kim, Seung Woo Kim, Jun W Kim, Angela Kim, Eunae Kim, Tae-Eun Kim, Won Tae Kim, Kyung-Sub Kim, Ji Won Kim, Sang Geon Kim, Kang Ho Kim, Young-Cho Kim, Chul Hwan Kim, Bo Young Kim, Yong Sig Kim, Hong-Kyu Kim, Go Woon Kim, Minsoon Kim, Peter K Kim, Taeeun Kim, Eunhyun Kim, Min-Sik Kim, Paul Kim, Jeongseon Kim, Hyejin Kim, Chang-Yub Kim, Kyunggon Kim, Sinai Kim, Tae-Mi Kim, Oc-Hee Kim, Da-Hyun Kim, Jong Geun Kim, Woo Kyung Kim, Jae-Yong Kim, Jiyeon Kim, Jaeuk U Kim, Kye Hyun Kim, Dae-Jin Kim, Chong Kook Kim, Minkyung Kim, Jun Chul Kim, Cecilia E Kim, Jae Seon Kim, Yeon-Jeong Kim, Ha-Neui Kim, Kwan Hyun Kim, Dae Keun Kim, You Sun Kim, Heung-Joong Kim, Jongwan Kim, Angela S Kim, Young Hun Kim, Nam Hee Kim, Jong Yeol Kim, Ji-Young Kim, So-Woon Kim, Dayoung Kim, Sangwoo Kim, Ji-Hoon Kim, Ki Tae Kim, Young-Bum Kim, Eric Eunshik Kim, Hyojung Kim, Yeeun Kim, Jeewoo Kim, Sungmin Kim, Hyun Sil Kim, Young Hee Kim, Woonhee Kim, Minjeong Kim, Sae Hun Kim, Sohee Kim, Kyunga Kim, Donghyun Kim, Sung-Kyu Kim, Hanah Kim, Do-Kyun Kim, Jong-Joo Kim, Sangsoo Kim, Yong-Woon Kim, Jonggeol Jeffrey Kim, Geun-Young Kim, Jae-Jun Kim, Min Soo Kim, K-K Kim, Jung-Taek Kim, Ju Han Kim, Jeeyoung Kim, Hyung Yoon Kim, Min-Sun Kim, Youngchul Kim, Minhee Kim, Byung-Taek Kim, Sung-Bae Kim, Kwang Pyo Kim, Suk-Jeong Kim, Min-A Kim, Ngoc-Thanh Kim, Jae T Kim, Chan-Duck Kim, Dong-Seok Kim, Hyeon Ho Kim, Soo-Youl Kim, Min-Seon Kim, Young Tae Kim, Hyoun Ju Kim, Shi-Mun Kim, Kwang-Pyo Kim, Hee Jong Kim, JungMin Kim, Minah Kim, Taehyoun Kim, Kwonseop Kim, Yonghwan Kim, Kyong Min Kim, Won Dong Kim, Su-Jeong Kim, Jae-Jung Kim, Eunha Kim, Howard H Kim, Min-Hyun Kim, Kyeongjin Kim, Min Kim, Sung Won Kim, Min-Seo Kim, Se-Wha Kim, Myeoung Su Kim, Minjoo Kim, Sujung Kim, Eonmi Kim, In-Hoo Kim, Woo-Kyun Kim, Nan Young Kim, Myeong Ok Kim, Yongjae Kim, Wootae Kim, Jong-Kyu Kim, In Kyoung Kim, Leen Kim, Doo Yeong Kim, Do-Hyung Kim, Dong-il Kim, Jeri Kim, Dong-Hyeok Kim, Seol-A Kim, Soriul Kim, Kil-Nam Kim, Joonseok Kim, Soo-Rim Kim, So Yeon Kim, Kwangho Kim, Yun-Jin Kim, Yeonjung Kim, Seok Won Kim, Bo Ri Kim, Su Jin Kim, TaeHyung Kim, Kyung Woo Kim, Woo Jin Kim, Yeon-Jung Kim, Misun Kim, Serim Kim, Jeong Hee Kim, Youn Shic Kim, Junesun Kim, Dong-Eun Kim, Young Ree Kim, So-Yeon Kim, Choel Kim, Jae Hun Kim, C H Kim, Sung-Hoon Kim, Namphil Kim, Kyung-Chang Kim, Jin-Soo Kim, Jimi Kim, You-Jin Kim, Goun Kim, Goo-Young Kim, Chan-Hee Kim, Jong Han Kim, Bongjun Kim, Sun-Joong Kim, Sun Hye Kim, Seulhee Kim, Joonyoung Kim, Gunhee Kim, Joungmok Kim, Young Ho Kim, Seung-Whan Kim, Sang-Woo Kim, Seongmi Kim, Kyung Sup Kim, Young Jin Kim, Scott Y H Kim, Chang Seong Kim, Ryung S Kim, Daegyeom Kim, Da Sol Kim, Ellen Kim, Kellan Kim, Young Rae Kim, Hee-Sun Kim, Seung Jun Kim, Han Gyung Kim, Jae Hoon Kim, Kyungjin Kim, Youn-Kyung Kim, Jung-Ha Kim, Sunghoon Kim, Jung-Hyun Kim, Jaeyeon Kim, Hyung-Mi Kim, Young Eun Kim, Hye-Young H Kim, Ho Shik Kim, Ho-Sook Kim, Hyun Ju Kim, Hwijin Kim, Gyeonghun Kim, Kyungtae Kim, Baek Kim, Soon-Hee Kim, David E Kim, Ki Kwon Kim, Joong Sun Kim, Yongae Kim, Jaemi Kim, Hyun-ju Kim, Tai Kyoung Kim, Hoon Seok Kim, Yunjung Kim, Keun You Kim, Se Hyun Kim, Min Cheol Kim, Gye Lim Kim, Hyeseon Kim, Jin Cheon Kim, Hyung-Ryong Kim, Carla F Kim, Hyunki Kim, Dakyung Kim, Yong-Sik Kim, Jong Won Kim, Hoon Kim, Seung-Jin Kim, Myeong Ji Kim, Joonki Kim, NamDoo Kim, Jinho Kim, Hyo Jong Kim, Young-Woong Kim, Un Gi Kim, Tae-Hyun Kim, Hyung-Sik Kim, Ah-Ram Kim, Kee-Pyo Kim, Oh Yoen Kim, Juyeong Kim, Deok Ryong Kim, Jun Hee Kim, Hyunyoung Kim, Jung Ki Kim, Yongkang Kim, Chae-Hyun Kim, Brian S Kim, Minchul Kim, Leo Kim, Eun Ho Kim, Haeryoung Kim, Seong Kim, Jessica Kim, Kahye Kim, Jae-Ryong Kim, Jin Won Kim, Hyun Sook Kim, Kyeongmi Kim, Rosalind Kim, Heegoo Kim, Sujin Kim, In Joo Kim, E Kim, Sung-Jo Kim, Sang Chan Kim, Kyuho Kim, Nam-Hyung Kim, Sin Gon Kim, Sunkyu Kim, Seohyun Kim, Beom-Jun Kim, Boram Kim, Kyeong Jin Kim, Wanil Kim, Gi Beom Kim, Hei Sung Kim, Jason K Kim, Woojin Scott Kim, Hyung-Seok Kim, Won Jeoung Kim, Jungwoo Kim, Dae Hyun Kim, Yejin Kim, Jina Kim, Kyu-Kwang Kim, Yong-Soo Kim, Yong-Ou Kim, M J Kim, Ji-Won Kim, Yoonjung Kim, Chul Hoon Kim, Hyun-Jung Kim, Jae Hyoung Kim, Eui-Soon Kim, Hyun Joon Kim, Minkyeong Kim, M V Kim, Hyun-Jin Kim, Ok-Kyung Kim, Yumi Kim, Kyungsook Kim, Kyungwon Kim, Sunyoung Kim, Jin Kim, Suji Kim, Ok-Hyeon Kim, Maya Kim, Mijeong Kim, Jung-Woong Kim, Seoyeon Kim, Hyunbae Kim, Esl Kim, Kyeong-Min Kim, Sang-Hoon Kim, Hyun Gi Kim, Jooho Kim, Su Kang Kim, Ju-Ryoung Kim, Myung-Jin Kim, Eun-Jung Kim, Sangchul Kim, Bomi Kim, Kyung Han Kim, Seoyoung Kim, Ji-Eun Kim, Yoojin Kim, Joori Kim, Min Jung Kim, Minju Kim, Jeeho Kim, Tae-Woon Kim, Jihye Kim, Jae Gon Kim, Hyeong Su Kim, Choon-Song Kim, Kye Hun Kim, Mi-Young Kim, Choon Ok Kim, Hyesung Kim, Na Yeon Kim, Seong-Ik Kim, Yeon-Ki Kim, Jisu Kim, Jaeyoon Kim, Dong-Hyun Kim, Myungsuk Kim, Kook Hwan Kim, Eui Hyun Kim, Won-Tae Kim, Sung Soo Kim, Sung Hyun Kim, Eun Kim, Hyung Min Kim, Sol Kim, Jihyun Kim, Hyunwoo Kim, Kwang Dong Kim, Min Joo Kim, Suhyun Kim, Elizabeth H Kim, Sang-Gun Kim, Han-Kyul Kim, Dong-Wook Kim, Young Sam Kim, Yong Deuk Kim, Jong-Seo Kim, Young-Ho Kim, Yoo Ri Kim, Hye-Yeon Kim, Eiru Kim, Ji Yeon Kim, Ki Hyun Kim, Tae Hun Kim, Ae-Jung Kim, Yun Joong Kim, Eosu Kim, Ki Woong Kim, Cheorl-Ho Kim, TaeYeong Kim, Yeon-Hee Kim, Jae Suk Kim, Richard B Kim, Jungsu Kim, Young-Jin Kim, Deokhoon Kim, Eung Yeop Kim, Misu Kim, Seung Chul Kim, Mi-Yeon Kim, K-S Kim, Hyo-Soo Kim, Daeseung Kim, Won Kon Kim, Sangmi Kim, Jong Deog Kim, Yun Gi Kim, Seon-Young Kim, Il-Sup Kim, Ji Hun Kim, Byung Guk Kim, Susy Kim, Youngwoo Kim, Mi-Sung Kim, Min-Young Kim, Jae-Min Kim, Young Woo Kim, Yong Sung Kim, Young-Won Kim, Taehyeung Kim, Meesun Kim, Sook Young Kim, Jaewon Kim, Jung H Kim, In Su Kim, Eun Hee Kim, Yong Kwan Kim, Haelee Kim, Daesik Kim, Heebal Kim, Seungsoo Kim, Bong-Jo Kim, Woo-Jin Kim, Seon Hwa Kim, Luke Y Kim, Jae-Ick Kim, Hwajung Kim, Jisook Kim, Jeffrey J Kim, Kyung Do Kim, Gukhan Kim, Jungeun Kim, Youbin Kim, Jeong-Min Kim, Hyungjun Kim, Young-Hoon Kim, Seokhwi Kim, Jong-Ki Kim, Byron Kim, Taek-Kyun Kim, D-W Kim, Bo-Ra Kim, Dokyoon Kim, Su-Yeon Kim, Min Chul Kim, Jung Hee Kim, Wook Kim, Jun-Mo Kim, Miso Kim, Seong-Min Kim, Jang Heub Kim, Seon Hee Kim, Hong-Gi Kim, Hyun-Young Kim, Young Hwa Kim, Hyeyoung Kim, Hyunwook Kim, Hyung Bum Kim, Dae-Soo Kim, Hee Su Kim, Gitae Kim, Hyun-Yi Kim, Sejoong Kim, Young-Joo Kim, Reuben H Kim, Hong-Kook Kim, Hyungsoo Kim, Soo Jung Kim, Sungryong Kim, Hyunmi Kim, June Soo Kim, Gyudong Kim, Rokki Kim, Yong Sook Kim, Young-Il Kim, Jinsu Kim, Woo-Yang Kim, Eunjoon Kim, Taejung Kim, Woo Kim, Jang-Hee Kim, Won Seok Kim, Jung Soo Kim, Kyoung Hwan Kim, Sung Mok Kim, Seung Tea Kim, Tae Il Kim, Daeeun Kim, Hyelim Kim, Beomsoo Kim, Ji-Woon Kim
articles
Min Kim, Seung-Cheol Jee, Soee Kim +2 more · 2021 · Toxics · MDPI · added 2026-04-24
Biomarkers in exposure assessment are defined as the quantifiable targets that indicate the exposure to hazardous chemicals and their resulting health effect. In this study, we aimed to identify, vali Show more
Biomarkers in exposure assessment are defined as the quantifiable targets that indicate the exposure to hazardous chemicals and their resulting health effect. In this study, we aimed to identify, validate, and characterize the mRNA biomarker that can detect the exposure of sodium cyanide. To identify reliable biomarkers for sodium cyanide exposure, critical criteria were defined for candidate selection: (1) the expression level of mRNA significantly changes in response to sodium thiocyanate treatment in transcriptomics results (fold change > 2.0 or <0.50, adjusted Show less
📄 PDF DOI: 10.3390/toxics9110288
ANGPTL4
Hong Hua Yan, Kyung Hee Jung, Ji Eun Lee +7 more · 2021 · Cancer letters · Elsevier · added 2026-04-24
Oncogenic KRAS
no PDF DOI: 10.1016/j.canlet.2021.07.036
ANGPTL4
Yoshiyuki Tsuchiya, Ena Chiba, Toshihisa Sugino +5 more · 2021 · Physiological genomics · added 2026-04-24
We investigated changes in rumen fermentation, peripheral blood metabolites and hormones, and hepatic transcriptomic dynamics in Holstein cows with and those without subacute ruminal acidosis (SARA) d Show more
We investigated changes in rumen fermentation, peripheral blood metabolites and hormones, and hepatic transcriptomic dynamics in Holstein cows with and those without subacute ruminal acidosis (SARA) during the periparturient period. Sixteen multiparous Holstein cows were categorized in the SARA ( Show less
no PDF DOI: 10.1152/physiolgenomics.00048.2021
APOA4
Jae-Min Park, Da-Hyun Park, Youhyun Song +6 more · 2021 · Scientific reports · Nature · added 2026-04-24
Understanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometab Show more
Understanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometabolic diseases. Here, we conducted genome-wide association studies (GWASs) to identify the MUHNW and MHO genetic indices. The study dataset comprised genome-wide single-nucleotide polymorphism genotypes and epidemiological data from 49,915 subjects categorised into four phenotypes-metabolically healthy normal weight (MHNW), MUHNW, MHO, and metabolically unhealthy obese (MUHO). We conducted two GWASs using logistic regression analyses and adjustments for confounding variables (model 1: MHNW versus MUHNW and model 2: MHO versus MUHO). GCKR, ABCB11, CDKAL1, LPL, CDKN2B, NT5C2, APOA5, CETP, and APOC1 were associated with metabolically unhealthy phenotypes among normal weight individuals (model 1). LPL, APOA5, and CETP were associated with metabolically unhealthy phenotypes among obese individuals (model 2). The genes common to both models are related to lipid metabolism (LPL, APOA5, and CETP), and those associated with model 1 are related to insulin or glucose metabolism (GCKR, CDKAL1, and CDKN2B). This study reveals the genetic architecture of the MUHNW and MHO phenotypes in a Korean population-based cohort. These findings could help identify individuals at a high metabolic risk in normal weight and obese populations and provide potential novel targets for the management of metabolically unhealthy phenotypes. Show less
📄 PDF DOI: 10.1038/s41598-021-81940-y
APOA5
Yenna Lee, Bo-Rahm Kim, Geun-Hyung Kang +5 more · 2021 · Endocrinology and metabolism (Seoul, Korea) · added 2026-04-24
Farnesoid X receptor (FXR), a bile acid-activated nuclear receptor, is a potent regulator of glucose and lipid metabolism as well as of bile acid metabolism. Previous studies have demonstrated that FX Show more
Farnesoid X receptor (FXR), a bile acid-activated nuclear receptor, is a potent regulator of glucose and lipid metabolism as well as of bile acid metabolism. Previous studies have demonstrated that FXR deficiency is associated with metabolic derangements, including atherosclerosis and nonalcoholic fatty liver disease (NAFLD), but its mechanism remains unclear. In this study, we investigated the role of FXR in atherosclerosis and NAFLD and the effect of peroxisome proliferator-activated receptor (PPAR) agonists in mouse models with FXR deficiency. En face lipid accumulation analysis, liver histology, serum levels of glucose and lipids, and mRNA expression of genes related to lipid metabolism were compared between apolipoprotein E (ApoE)-/- and ApoE-/-FXR-/- mice. The effects of PPARα and PPARγ agonists were also compared in both groups of mice. Compared with ApoE-/- mice, ApoE-/-FXR-/- mice showed more severe atherosclerosis, hepatic steatosis, and higher levels of serum cholesterol, low-density lipoprotein cholesterol, and triglycerides, accompanied by increased mRNA expression of FAS, ApoC2, TNFα, IL-6 (liver), ATGL, TGH, HSL, and MGL (adipocytes), and decreased mRNA expressions of CPT2 (liver) and Tfam (skeletal muscle). Treatment with a PPARα agonist, but not with a PPARγ agonist, partly reversed atherosclerosis and hepatic steatosis, and decreased plasma triglyceride levels in the ApoE-/-FXR-/- mice, in association with increased mRNA expression of CD36 and FATP and decreased expression of ApoC2 and ApoC3 (liver). Loss of FXR is associated with aggravation of atherosclerosis and hepatic steatosis in ApoE-deficient mice, which could be reversed by a PPARα agonist through induction of fatty acid uptake, β-oxidation, and triglyceride hydrolysis. Show less
📄 PDF DOI: 10.3803/EnM.2021.1100
APOC3
Sungchan Gwark, Hee-Sung Ahn, Jeonghun Yeom +17 more · 2021 · Cancers · MDPI · added 2026-04-24
The plasma proteome of 51 non-metastatic breast cancer patients receiving neoadjuvant chemotherapy (NCT) was prospectively analyzed by high-resolution mass spectrometry coupled with nano-flow liquid c Show more
The plasma proteome of 51 non-metastatic breast cancer patients receiving neoadjuvant chemotherapy (NCT) was prospectively analyzed by high-resolution mass spectrometry coupled with nano-flow liquid chromatography using blood drawn at the time of diagnosis. Plasma proteins were identified as potential biomarkers, and their correlation with clinicopathological variables and survival outcomes was analyzed. Of 51 patients, 20 (39.2%) were HR+/HER2-, five (9.8%) were HR+/HER2+, five (9.8%) were HER2+, and 21 (41.2%) were triple-negative subtype. During a median follow-up of 52.0 months, there were 15 relapses (29.4%) and eight deaths (15.7%). Four potential biomarkers were identified among differentially expressed proteins: APOC3 had higher plasma concentrations in the pathological complete response (pCR) group, whereas MBL2, ENG, and P4HB were higher in the non-pCR group. Proteins statistically significantly associated with survival and capable of differentiating low- and high-risk groups were MBL2 and P4HB for disease-free survival, P4HB for overall survival, and MBL2 for distant metastasis-free survival (DMFS). In the multivariate analysis, only MBL2 was a consistent risk factor for DMFS (HR: 9.65, 95% CI 2.10-44.31). The results demonstrate that the proteomes from non-invasive sampling correlate with pCR and survival in breast cancer patients receiving NCT. Further investigation may clarify the role of these proteins in predicting prognosis and thus their therapeutic potential for the prevention of recurrence. Show less
📄 PDF DOI: 10.3390/cancers13246267
APOC3
Lin Zhu, Julia An, Sivaprakasam Chinnarasu +8 more · 2021 · Frontiers in physiology · Frontiers · added 2026-04-24
Mounting evidence has shown that CETP has important physiological roles in adapting to chronic nutrient excess, specifically, to protect against diet-induced insulin resistance. However, the underlyin Show more
Mounting evidence has shown that CETP has important physiological roles in adapting to chronic nutrient excess, specifically, to protect against diet-induced insulin resistance. However, the underlying mechanisms for the protective roles of CETP in metabolism are not yet clear. Mice naturally lack CETP expression. We used transgenic mice with a human CETP minigene (huCETP) controlled by its natural flanking region to further understand CETP-related physiology in response to obesity. Female huCETP mice and their wild-type littermates were fed a high-fat diet for 6 months. Blood lipid profile and liver lipid metabolism were studied. Insulin sensitivity was analyzed with euglycemic-hyperinsulinemic clamp studies combined with Show less
📄 PDF DOI: 10.3389/fphys.2021.799096
CETP
Hyunju Lee, Sang Jin Rhee, Jayoun Kim +14 more · 2021 · Journal of psychiatric research · Elsevier · added 2026-04-24
Depression is a common symptom of many mental disorders, especially major depressive disorder (MDD) and bipolar disorder (BD). Previous studies have reported that these diseases share common pathophys Show more
Depression is a common symptom of many mental disorders, especially major depressive disorder (MDD) and bipolar disorder (BD). Previous studies have reported that these diseases share common pathophysiological pathways; therefore, this study elucidated whether the plasma levels of protein markers related to common depressive symptoms differed between patients with BD and those with MDD. Plasma samples of 71 patients with mood disorders and clinical manifestations were analyzed in this study. After depleting the abundant proteins, liquid chromatography-tandem mass spectrometry and label-free quantification were performed. Five proteins, viz., cholesteryl ester transfer protein (CETP), apolipoprotein D (APOD), mannan-binding lectin serine protease 2 (MASP2), Ig lambda chain V-II region BO (IGLV2-8) and Ig kappa chain V-III region NG9 (IGKV3-20) were negatively associated with the total scores of the Hamilton depression rating scale (HAM-D), after adjusting for the covariates. CETP and APOD also showed significant negative correlations with the anhedonia/retardation and guilt/agitation scores of the HAM-D. Four proteins, namely, Ig kappa chain V-II region TEW (IGKC; IGKV2D-28), Ig lambda variable 5-45 (IGLV5-45), complement factor H (CFH) and attractin (ATRN), showed significant associations with anhedonia/retardation after adjusting for covariates. Proteins that significantly correlated with the symptoms could predict the remission state of depression (area under the curve [AUC], 0.83) and anhedonia/retardation (AUC, 0.80). Bioinformatics analysis revealed that complement activation, immune response, and lipid metabolism were significantly enriched pathways. Although our study design was cross-sectional and no controls were included, protein markers identified in this preliminary study will be further investigated in our subsequent longitudinal study. Show less
no PDF DOI: 10.1016/j.jpsychires.2021.07.041
CETP
Sung-Jae Cha, Min-Sik Kim, Chan Hyun Na +1 more · 2021 · Nature communications · Nature · added 2026-04-24
After inoculation by the bite of an infected mosquito, Plasmodium sporozoites enter the blood stream and infect the liver, where each infected cell produces thousands of merozoites. These in turn, inf Show more
After inoculation by the bite of an infected mosquito, Plasmodium sporozoites enter the blood stream and infect the liver, where each infected cell produces thousands of merozoites. These in turn, infect red blood cells and cause malaria symptoms. To initiate a productive infection, sporozoites must exit the circulation by traversing the blood lining of the liver vessels after which they infect hepatocytes with unique specificity. We screened a phage display library for peptides that structurally mimic (mimotope) a sporozoite ligand for hepatocyte recognition. We identified HP1 (hepatocyte-binding peptide 1) that mimics a ~50 kDa sporozoite ligand (identified as phospholipid scramblase). Further, we show that HP1 interacts with a ~160 kDa hepatocyte membrane putative receptor (identified as carbamoyl-phosphate synthetase 1). Importantly, immunization of mice with the HP1 peptide partially protects them from infection by the rodent parasite P. berghei. Moreover, an antibody to the HP1 mimotope inhibits human parasite P. falciparum infection of human hepatocytes in culture. The sporozoite ligand for hepatocyte invasion is a potential novel pre-erythrocytic vaccine candidate. Show less
📄 PDF DOI: 10.1038/s41467-021-27109-7
CPS1
So-Woon Kim, Gowun Jeong, Min-Hee Ryu +1 more · 2021 · Pathology · Elsevier · added 2026-04-24
Immunohistochemical (IHC) assays for programmed death ligand 1 (PD-L1) expression are crucial for guiding immune checkpoint inhibitor therapies in advanced gastric adenocarcinoma (AGC). The results fr Show more
Immunohistochemical (IHC) assays for programmed death ligand 1 (PD-L1) expression are crucial for guiding immune checkpoint inhibitor therapies in advanced gastric adenocarcinoma (AGC). The results from clinical trials of various PD-L1 antibody clones are variable and the exchangeability of these assays is a highly sought goal. The aim of this study was to determine whether three different PD-L1 assays (SP263 and 22C3 on the Dako and Ventana platforms) are interchangeable through analysis of their concordance rate within samples between biopsy and paired resected specimens. One hundred pairs of biopsied and resected AGC specimens were collected and stained for PD-L1. The combined positive score (CPS) was used for the IHC analysis and a four tiered system was applied, i.e., <1, 1 to < 5, 5 to 50, and >50. The agreement for the different IHC assays was low across all cut-offs with the biopsied or resected specimens (biopsy, κ=0.17-0.453; resection, κ=0.02-0.311). The overall positive agreement (OPA) for the PD-L1 results from the biopsy and resection tissues was 100% (SP263, κ=1), 86% (22C3 on the Dako platform, κ=0.693) and 93% (22C3 on the Ventana platform, κ=0.82) at the CPS1 cut-off. The low concordances among the three PD-L1 IHC assays indicated that they cannot be used interchangeably in clinical practice. The results of the SP263 assay using CPS1 showed the highest agreement between the biopsy and resection specimens, suggesting SP263 may provide the most representative approach for the evaluation of PD-L1 status in gastric cancer. Show less
no PDF DOI: 10.1016/j.pathol.2020.10.015
CPS1
Ming Gao, Guijie Guo, Jinzhou Huang +17 more · 2021 · Nucleic acids research · Oxford University Press · added 2026-04-24
RPA is a critical factor for DNA replication and replication stress response. Surprisingly, we found that chromatin RPA stability is tightly regulated. We report that the GDP/GTP exchange factor DOCK7 Show more
RPA is a critical factor for DNA replication and replication stress response. Surprisingly, we found that chromatin RPA stability is tightly regulated. We report that the GDP/GTP exchange factor DOCK7 acts as a critical replication stress regulator to promote RPA stability on chromatin. DOCK7 is phosphorylated by ATR and then recruited by MDC1 to the chromatin and replication fork during replication stress. DOCK7-mediated Rac1/Cdc42 activation leads to the activation of PAK1, which subsequently phosphorylates RPA1 at S135 and T180 to stabilize chromatin-loaded RPA1 and ensure proper replication stress response. Moreover, DOCK7 is overexpressed in ovarian cancer and depleting DOCK7 sensitizes cancer cells to camptothecin. Taken together, our results highlight a novel role for DOCK7 in regulation of the replication stress response and highlight potential therapeutic targets to overcome chemoresistance in cancer. Show less
📄 PDF DOI: 10.1093/nar/gkab134
DOCK7
Soeun Kim, Guk-Yeol Park, Jong Seok Park +3 more · 2021 · eLife · added 2026-04-24
Central tolerance is achieved through positive and negative selection of thymocytes mediated by T cell receptor (TCR) signaling strength. Thus, dysregulation of the thymic selection process often lead Show more
Central tolerance is achieved through positive and negative selection of thymocytes mediated by T cell receptor (TCR) signaling strength. Thus, dysregulation of the thymic selection process often leads to autoimmunity. Here, we show that Capicua (CIC), a transcriptional repressor that suppresses autoimmunity, controls the thymic selection process. Loss of CIC prior to T-cell lineage commitment impairs both positive and negative selection of thymocytes. CIC deficiency attenuated TCR signaling in CD4 Show less
📄 PDF DOI: 10.7554/eLife.71769
DUSP6
Hanna Cho, Namkyoung Kim, Takashi Murakami +1 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Inhibitors of tropomyosin-related kinases (TRKs) display remarkable outcomes in the regression of cancers harboring the Neurotrophin Receptors Tyrosine Kinase (NTRK) fusion gene. As a result, TRKs hav Show more
Inhibitors of tropomyosin-related kinases (TRKs) display remarkable outcomes in the regression of cancers harboring the Neurotrophin Receptors Tyrosine Kinase (NTRK) fusion gene. As a result, TRKs have become attractive targets in anti-cancer drug discovery programs. Here, we demonstrate that AZD4547, a highly potent and selective inhibitor of fibroblast growth factor receptor (FGFR), displays anti-tumor activity against KM12(Luc) harboring the TPM3-NTRK1 fusion gene associated with its direct inhibition of TRKs. The results of profiling, using a 64-member in-house cancer cell panel, show that AZD4547 displays anti-proliferation activity against KM12(Luc) with a GI Show less
📄 PDF DOI: 10.3389/fonc.2021.757598
DUSP6
Yekaterina Kim, Akiva A Dym, Karen Yang +7 more · 2021 · Journal for healthcare quality : official publication of the National Association for Healthcare Quality · added 2026-04-24
Communication and teamwork are essential during inpatient emergencies such as cardiac arrest and rapid response (RR) codes. We investigated whether wearing numbered jerseys affect directed commands, t Show more
Communication and teamwork are essential during inpatient emergencies such as cardiac arrest and rapid response (RR) codes. We investigated whether wearing numbered jerseys affect directed commands, teamwork, and performance during simulated codes. Eight teams of 6 residents participated in 64 simulations. Four teams were randomized to the experimental group wearing numbered jerseys, and four to the control group wearing work attire. The experimental group used more directed commands (49% vs. 31%, p < .001) and had higher teamwork score (25 vs. 18, p < .001) compared with control group. There was no difference in time to initiation of chest compression, bag-valve-mask ventilation, and correct medications. Time to defibrillation was longer in the experimental group (190 vs. 140 seconds, p = .035). Using numbered jerseys during simulations was associated with increased use of directed commands and better teamwork. Time to performance of clinical actions was similar except for longer time to defibrillation in the jersey group. Show less
no PDF DOI: 10.1097/JHQ.0000000000000264
DYM
Miey Park, Ki Hyun Kim, Varun Jaiswal +5 more · 2021 · Scientific reports · Nature · added 2026-04-24
Like humans, weight control in overweight dogs is associated with a longer life expectancy and a healthier life. Dietary supplements are one of the best strategies for controlling obesity and obesity- Show more
Like humans, weight control in overweight dogs is associated with a longer life expectancy and a healthier life. Dietary supplements are one of the best strategies for controlling obesity and obesity-associated diseases. This study was conducted to assess the potential of black ginseng (BG) and silkworm (SW) as supplements for weight control in diet-induced overweight beagle dogs. To investigate the changes that occur in dogs administered the supplements, different obesity-related parameters, such as body condition score (BCS), blood fatty acid profile, transcriptome, and microbiome, were assessed in high energy diet (HD) and HD with BG + SW supplementation (HDT) groups of test animals. After 12 weeks of BG + SW supplementation, total cholesterol and triglyceride levels were reduced in the HDT group. In the transcriptome analysis, nine genes (NUGGC, EFR3B, RTP4, ACAN, HOXC4, IL17RB, SOX13, SLC18A2, and SOX4) that are known to be associated with obesity were found to be differentially expressed between the ND (normal diet) and HD groups as well as the HD and HDT groups. Significant changes in some taxa were observed between the HD and ND groups. These data suggest that the BG + SW supplement could be developed as dietary interventions against diet-induced obesity, and obesity-related differential genes could be important candidates in the mechanism of the anti-obesity effects of the BG + SW supplement. Show less
📄 PDF DOI: 10.1038/s41598-021-95789-8
EFR3B
Su Jin Kim, Sae-Mi Lee, Jong-Moon Choi +5 more · 2021 · Frontiers in genetics · Frontiers · added 2026-04-24
Skeletal dysplasia (SD), a heterogeneous disease group with rare incidence and various clinical manifestations, is associated with multiple causative genes. For clinicians, accurate diagnosis of SD is Show more
Skeletal dysplasia (SD), a heterogeneous disease group with rare incidence and various clinical manifestations, is associated with multiple causative genes. For clinicians, accurate diagnosis of SD is clinically and genetically difficult. The development of next-generation sequencing (NGS) has substantially aided in the genetic diagnosis of SD. In this study, we conducted a targeted NGS of 437 genes - included in the nosology of SD published in 2019 - in 31 patients with a suspected SD. The clinical and genetic diagnoses were confirmed in 16 out of the 31 patients, and the diagnostic yield was 51.9%. In these patients, 18 pathogenic variants were found in 13 genes ( Show less
📄 PDF DOI: 10.3389/fgene.2021.670608
EXT1
Despoina Kerselidou, Bushra Saeed Dohai, David R Nelson +30 more · 2021 · Science advances · Science · added 2026-04-24
The endoplasmic reticulum (ER) is a central eukaryotic organelle with a tubular network made of hairpin proteins linked by hydrolysis of guanosine triphosphate nucleotides. Among posttranslational mod Show more
The endoplasmic reticulum (ER) is a central eukaryotic organelle with a tubular network made of hairpin proteins linked by hydrolysis of guanosine triphosphate nucleotides. Among posttranslational modifications initiated at the ER level, glycosylation is the most common reaction. However, our understanding of the impact of glycosylation on the ER structure remains unclear. Here, we show that exostosin-1 (EXT1) glycosyltransferase, an enzyme involved in Show less
📄 PDF DOI: 10.1126/sciadv.abe8349
EXT1
Jonathan R Brestoff, Craig B Wilen, John R Moley +22 more · 2021 · Cell metabolism · Elsevier · added 2026-04-24
Recent studies suggest that mitochondria can be transferred between cells to support the survival of metabolically compromised cells. However, whether intercellular mitochondria transfer occurs in whi Show more
Recent studies suggest that mitochondria can be transferred between cells to support the survival of metabolically compromised cells. However, whether intercellular mitochondria transfer occurs in white adipose tissue (WAT) or regulates metabolic homeostasis in vivo remains unknown. We found that macrophages acquire mitochondria from neighboring adipocytes in vivo and that this process defines a transcriptionally distinct macrophage subpopulation. A genome-wide CRISPR-Cas9 knockout screen revealed that mitochondria uptake depends on heparan sulfates (HS). High-fat diet (HFD)-induced obese mice exhibit lower HS levels on WAT macrophages and decreased intercellular mitochondria transfer from adipocytes to macrophages. Deletion of the HS biosynthetic gene Ext1 in myeloid cells decreases mitochondria uptake by WAT macrophages, increases WAT mass, lowers energy expenditure, and exacerbates HFD-induced obesity in vivo. Collectively, this study suggests that adipocytes and macrophages employ intercellular mitochondria transfer as a mechanism of immunometabolic crosstalk that regulates metabolic homeostasis and is impaired in obesity. Show less
📄 PDF DOI: 10.1016/j.cmet.2020.11.008
EXT1
Hui Gyu Park, Jae Hun Kim, Andrew N Dancer +2 more · 2021 · Prostaglandins, leukotrienes, and essential fatty acids · Elsevier · added 2026-04-24
Plasticity in fatty acid metabolism is increasingly recognized as a major feature influencing cancer progression and efficacy of treatments. Estrogen receptor positive MCF7 human breast cancer cells h Show more
Plasticity in fatty acid metabolism is increasingly recognized as a major feature influencing cancer progression and efficacy of treatments. Estrogen receptor positive MCF7 human breast cancer cells have long been known to have no FADS2-mediated Δ6-desaturase activity. Our objective was to examine the effect of estrogen and the "antiestrogen" aromatase inhibitor letrozole, on Δ5- and Δ6-desaturase synthesized fatty acids in vitro. Eicosa-11,14-dienoic acid (20:2n-6), a known substrate for both FADS1 and FADS2, was used as a sentinel of relative FADS2 and FADS1 activity. MCF7 cells and four additional estrogen responsive wild type cell lines (HepG2, SK-N-SH, Y79 and Caco2) were studied. FAME were quantified by GC-FID and structures identified by GCCACI-MS/MS. In all five cell lines, estrogen caused a dose dependent decrease in sciadonic acid (5,11,14-20:3, ScA) via apparent inhibition of FADS1 activity, and had no effect on FADS2 catalyzed synthesis of dihomo-gamma linolenic acid (8,11,14-20:3; DGLA). In MCF7 cells, letrozole caused a dose dependent increase in FADS2-catalyzed DGLA synthesis, which plateaued in SK-N-SH cells. Letrozole restores Δ6-desaturase mediated synthesis of the anti-inflammatory PGE1-precursor DGLA in vitro and is the first endocrine-active agent to have opposing effects on FADS1 and FADS2 catalyzed activities. Show less
no PDF DOI: 10.1016/j.plefa.2021.102312
FADS1
Quang Tam Nguyen, Dongkyun Kim, Supinya Iamsawat +10 more · 2021 · Journal of immunology (Baltimore, Md. : 1950) · added 2026-04-24
Glucocorticoids are a highly effective first-line treatment option for many inflammatory diseases, including asthma. Some patients develop a steroid-resistant condition, yet, the cellular and molecula Show more
Glucocorticoids are a highly effective first-line treatment option for many inflammatory diseases, including asthma. Some patients develop a steroid-resistant condition, yet, the cellular and molecular mechanisms underlying steroid resistance remain largely unknown. In this study, we used a murine model of steroid-resistant airway inflammation and report that combining systemic dexamethasone and intranasal IL-27 is able to reverse the inflammation. Foxp3 Show less
📄 PDF DOI: 10.4049/jimmunol.2100251
IL27
Yoojung Kwon, Misun Kim, Youngmi Kim +3 more · 2021 · Frontiers in immunology · Frontiers · added 2026-04-24
The objective of this study was to investigate mechanisms of allergic inflammation both
📄 PDF DOI: 10.3389/fimmu.2021.680441
IL27

IL-30

Booki Min, Dongkyun Kim, Matthias J Feige · 2021 · Experimental & molecular medicine · Nature · added 2026-04-24
Over the years, interleukin (IL)-27 has received much attention because of its highly divergent, sometimes even opposing, functions in immunity. IL-30, the p28 subunit that forms IL-27 together with E Show more
Over the years, interleukin (IL)-27 has received much attention because of its highly divergent, sometimes even opposing, functions in immunity. IL-30, the p28 subunit that forms IL-27 together with Ebi3 and is also known as IL-27p28 or IL-27A, has been considered a surrogate to represent IL-27. However, it was later discovered that IL-30 can form complexes with other protein subunits, potentially leading to overlapping or discrete functions. Furthermore, there is emerging evidence that IL-30 itself may perform immunomodulatory functions independent of Ebi3 or other binding partners and that IL-30 production is strongly associated with certain cancers in humans. In this review, we will discuss the biology of IL-30 and other IL-30-associated cytokines and their functions in inflammation and cancer. Show less
📄 PDF DOI: 10.1038/s12276-021-00630-x
IL27
Yohei Yoshihama, Kyle A LaBella, Eiru Kim +9 more · 2021 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-24
Prostate cancer is a leading cause of cancer-related mortality in men. The widespread use of androgen receptor (AR) inhibitors has generated an increased incidence of AR-negative prostate cancer, trig Show more
Prostate cancer is a leading cause of cancer-related mortality in men. The widespread use of androgen receptor (AR) inhibitors has generated an increased incidence of AR-negative prostate cancer, triggering the need for effective therapies for such patients. Here, analysis of public genome-wide CRISPR screens in human prostate cancer cell lines identified histone demethylase JMJD1C (KDM3C) as an AR-negative context-specific vulnerability. Secondary validation studies in multiple cell lines and organoids, including isogenic models, confirmed that small hairpin RNA (shRNA)-mediated depletion of JMJD1C potently inhibited growth specifically in AR-negative prostate cancer cells. To explore the cooperative interactions of AR and JMJD1C, we performed comparative transcriptomics of 1) isogenic AR-positive versus AR-negative prostate cancer cells, 2) AR-positive versus AR-negative prostate cancer tumors, and 3) isogenic JMJD1C-expressing versus JMJD1C-depleted AR-negative prostate cancer cells. Loss of AR or JMJD1C generates a modest tumor necrosis factor alpha (TNFα) signature, whereas combined loss of AR and JMJD1C strongly up-regulates the TNFα signature in human prostate cancer, suggesting TNFα signaling as a point of convergence for the combined actions of AR and JMJD1C. Correspondingly, AR-negative prostate cancer cells showed exquisite sensitivity to TNFα treatment and, conversely, TNFα pathway inhibition via inhibition of its downstream effector MAP4K4 partially reversed the growth defect of JMJD1C-depleted AR-negative prostate cancer cells. Given the deleterious systemic side effects of TNFα therapy in humans and the viability of JMJD1C-knockout mice, the identification of JMJD1C inhibition as a specific vulnerability in AR-negative prostate cancer may provide an alternative drug target for prostate cancer patients progressing on AR inhibitor therapy. Show less
no PDF DOI: 10.1073/pnas.2026324118
JMJD1C
Gilberto Ruiz-Deya, Jaime Matta, Jarline Encarnación-Medina +7 more · 2021 · International journal of molecular sciences · MDPI · added 2026-04-24
In 2020, approximately 191,930 new prostate cancer (PCa) cases are estimated in the United States (US). Hispanic/Latinos (H/L) are the second largest racial/ethnic group in the US. This study aims to Show more
In 2020, approximately 191,930 new prostate cancer (PCa) cases are estimated in the United States (US). Hispanic/Latinos (H/L) are the second largest racial/ethnic group in the US. This study aims to assess methylation patterns between aggressive and indolent PCa including DNA repair genes along with ancestry proportions. Prostate tumors classified as aggressive ( Show less
📄 PDF DOI: 10.3390/ijms22020733
JMJD1C
Chaoyu Zhu, Menghao Huang, Hyeong-Geug Kim +6 more · 2021 · Biochimica et biophysica acta. Molecular basis of disease · Elsevier · added 2026-04-24
Fatty liver disease is the most prevalent chronic liver disorder, which is manifested by hepatic triglyceride elevation, inflammation, and fibrosis. Sirtuin 6 (Sirt6), an NAD
📄 PDF DOI: 10.1016/j.bbadis.2021.166249
MLXIPL
Beth A Kozel, Boaz Barak, Chong Ae Kim +4 more · 2021 · Nature reviews. Disease primers · Nature · added 2026-04-24
Williams syndrome (WS) is a relatively rare microdeletion disorder that occurs in as many as 1:7,500 individuals. WS arises due to the mispairing of low-copy DNA repetitive elements at meiosis. The de Show more
Williams syndrome (WS) is a relatively rare microdeletion disorder that occurs in as many as 1:7,500 individuals. WS arises due to the mispairing of low-copy DNA repetitive elements at meiosis. The deletion size is similar across most individuals with WS and leads to the loss of one copy of 25-27 genes on chromosome 7q11.23. The resulting unique disorder affects multiple systems, with cardinal features including but not limited to cardiovascular disease (characteristically stenosis of the great arteries and most notably supravalvar aortic stenosis), a distinctive craniofacial appearance, and a specific cognitive and behavioural profile that includes intellectual disability and hypersociability. Genotype-phenotype evidence is strongest for ELN, the gene encoding elastin, which is responsible for the vascular and connective tissue features of WS, and for the transcription factor genes GTF2I and GTF2IRD1, which are known to affect intellectual ability, social functioning and anxiety. Mounting evidence also ascribes phenotypic consequences to the deletion of BAZ1B, LIMK1, STX1A and MLXIPL, but more work is needed to understand the mechanism by which these deletions contribute to clinical outcomes. The age of diagnosis has fallen in regions of the world where technological advances, such as chromosomal microarray, enable clinicians to make the diagnosis of WS without formally suspecting it, allowing earlier intervention by medical and developmental specialists. Phenotypic variability is considerable for all cardinal features of WS but the specific sources of this variability remain unknown. Further investigation to identify the factors responsible for these differences may lead to mechanism-based rather than symptom-based therapies and should therefore be a high research priority. Show less
📄 PDF DOI: 10.1038/s41572-021-00276-z
MLXIPL
Byung-Hyun Cha, Minjin Jung, Angela S Kim +4 more · 2021 · Journal of biological engineering · BioMed Central · added 2026-04-24
Cardiac hypertrophy is one of the most common genetic heart disorders and considered a risk factor for cardiac morbidity and mortality. The mammalian target of rapamycin (mTOR) pathway plays a key reg Show more
Cardiac hypertrophy is one of the most common genetic heart disorders and considered a risk factor for cardiac morbidity and mortality. The mammalian target of rapamycin (mTOR) pathway plays a key regulatory function in cardiovascular physiology and pathology in hypertrophy. AZD2014 is a small-molecule ATP competitive mTOR inhibitor working on both mTORC1 and mTORC2 complexes. Little is known about the therapeutic effects of AZD2014 in cardiac hypertrophy and its underlying mechanism. Here, AZD2014 is examined in in vitro model of phenylephrine (PE)-induced human cardiomyocyte hypertrophy and a myosin-binding protein-C (Mybpc3)-targeted knockout (KO) mouse model of cardiac hypertrophy. Our results demonstrate that cardiomyocytes treated with AZD2014 retain the normal phenotype and AZD2014 attenuates cardiac hypertrophy in the Mybpc3-KO mouse model through inhibition of dual mTORC1 and mTORC2, which in turn results in the down-regulation of the Akt/mTOR signaling pathway. Show less
no PDF DOI: 10.1186/s13036-021-00276-3
MYBPC3
Samantha A Hutchinson, Alex Websdale, Giorgia Cioccoloni +15 more · 2021 · Oncogene · Nature · added 2026-04-24
Triple negative breast cancer (TNBC) is challenging to treat successfully because targeted therapies do not exist. Instead, systemic therapy is typically restricted to cytotoxic chemotherapy, which fa Show more
Triple negative breast cancer (TNBC) is challenging to treat successfully because targeted therapies do not exist. Instead, systemic therapy is typically restricted to cytotoxic chemotherapy, which fails more often in patients with elevated circulating cholesterol. Liver x receptors are ligand-dependent transcription factors that are homeostatic regulators of cholesterol, and are linked to regulation of broad-affinity xenobiotic transporter activity in non-tumor tissues. We show that LXR ligands confer chemotherapy resistance in TNBC cell lines and xenografts, and that LXRalpha is necessary and sufficient to mediate this resistance. Furthermore, in TNBC patients who had cancer recurrences, LXRalpha and ligands were independent markers of poor prognosis and correlated with P-glycoprotein expression. However, in patients who survived their disease, LXRalpha signaling and P-glycoprotein were decoupled. These data reveal a novel chemotherapy resistance mechanism in this poor prognosis subtype of breast cancer. We conclude that systemic chemotherapy failure in some TNBC patients is caused by co-opting the LXRalpha:P-glycoprotein axis, a pathway highly targetable by therapies that are already used for prevention and treatment of other diseases. Show less
no PDF DOI: 10.1038/s41388-021-01720-w
NR1H3
Yun Seok Kim, Hyeon Joo Nam, Chang Yeob Han +4 more · 2021 · Hepatology (Baltimore, Md.) · Wiley · added 2026-04-24
Fat accumulation results from increased fat absorption and/or defective fat metabolism. Currently, the lipid-sensing nuclear receptor that controls fat utilization in hepatocytes is elusive. Liver X r Show more
Fat accumulation results from increased fat absorption and/or defective fat metabolism. Currently, the lipid-sensing nuclear receptor that controls fat utilization in hepatocytes is elusive. Liver X receptor alpha (LXRα) promotes accumulation of lipids through the induction of several lipogenic genes. However, its effect on lipid degradation is open for study. Here, we investigated the inhibitory role of LXRα in autophagy/lipophagy in hepatocytes and the underlying basis. In LXRα knockout mice fed a high-fat diet, or cell models, LXRα activation suppressed the function of mitochondria by inhibiting autophagy/lipophagy and induced hepatic steatosis. Gene sets associated with "autophagy" were enriched in hepatic transcriptome data. Autophagy flux was markedly augmented in the LXRα knockout mouse liver and primary hepatocytes. Mechanistically, LXRα suppressed autophagy-related 4B cysteine peptidase (ATG4B) and Rab-8B, responsible for autophagosome and -lysosome formation, by inducing let-7a and microRNA (miR)-34a. Chromatin immunoprecipitation assay enabled us to find LXRα as a transcription factor of let-7a and miR-34a. Moreover, 3' untranslated region luciferase assay substantiated the direct inhibitory effects of let-7a and miR-34a on ATG4B and Rab-8B. Consistently, either LXRα activation or the let-7a/miR-34a transfection lowered mitochondrial oxygen consumption rate and mitochondrial transmembrane potential and increased fat levels. In obese animals or nonalcoholic fatty liver disease (NAFLD) patients, let-7a and miR-34a levels were elevated with simultaneous decreases in ATG4B and Rab-8B levels. LXRα inhibits autophagy in hepatocytes through down-regulating ATG4B and Rab-8B by transcriptionally activating microRNA let-7a-2 and microRNA 34a genes and suppresses mitochondrial biogenesis and fuel consumption. This highlights a function of LXRα that culminates in the progression of liver steatosis and steatohepatitis, and the identified targets may be applied for a therapeutic strategy in the treatment of NAFLD. Show less
no PDF DOI: 10.1002/hep.31423
NR1H3
Emma E Boxer, Charlotte Seng, David Lukacsovich +5 more · 2021 · Cell reports · Elsevier · added 2026-04-24
Ventral subiculum (vSUB) is integral to the regulation of stress and reward; however, the intrinsic connectivity and synaptic properties of the inhibitory local circuit are poorly understood. Neurexin Show more
Ventral subiculum (vSUB) is integral to the regulation of stress and reward; however, the intrinsic connectivity and synaptic properties of the inhibitory local circuit are poorly understood. Neurexin-3 (Nrxn3) is highly expressed in hippocampal inhibitory neurons, but its function at inhibitory synapses has remained elusive. Using slice electrophysiology, imaging, and single-cell RNA sequencing, we identify multiple roles for Nrxn3 at GABAergic parvalbumin (PV) interneuron synapses made onto vSUB regular-spiking (RS) and burst-spiking (BS) principal neurons. Surprisingly, we find that intrinsic connectivity of vSUB and synaptic function of Nrxn3 in vSUB are sexually dimorphic. We reveal that PVs make preferential contact with RS neurons in male mice, but BS neurons in female mice. Furthermore, we determine that despite comparable Nrxn3 isoform expression in male and female PV neurons, Nrxn3 knockout impairs synapse density, postsynaptic strength, and inhibitory postsynaptic current (IPSC) amplitude at PV-RS synapses in males, but enhances presynaptic release and IPSC amplitude in females. Show less
no PDF DOI: 10.1016/j.celrep.2021.110098
NRXN3