The impact of glucocorticoid receptor transactivation on context-dependent cell migration dynamics by Szonja Polett Pósa, Éva Saskői, Lili Bársony, Lőrinc Pongor, Fanni Fekete, János Papp, Anikó Bozsik, Attila Patócs, Henriett Butz

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Germ cell quantification in human fetal and prepubertal testis tissues: a comparison of current methodologies by Emma Kearney, David Greenald, Gabriele Matilionyte, Sheila Lane, Melissa D Tharmalingam, Jill Davies, Jan-Bernd Stukenborg, Grace Forsyth, Rod T Mitchell

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Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

“…We tracked allele frequency changes as a function of viability across different age bins and prioritized 34 variants with an immediate implication on lipid metabolism, body mass index (BMI), and cognitive performance, among other traits, revealed by PheWAS analysis in the UK Biobank. Given the highly complex and non-linear interactions between the genetic determinants of longevity, we reasoned that a composite polygenic score would approximate a substantial portion of the variance in lifespan and developed the integrated longevity genetic scores (iLGSs) for distinguishing exceptional survival. …”
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Accelerated aging as a mediator of the association between co-exposure to multiple air pollutants and risk of chronic kidney disease by Shuo Zhang, Yuxin Liu, Jike Qi, Yu Yan, Tongyu Gao, Xin Zhang, Dong Sun, Ting Wang, Ping Zeng

“…Methods: Using a cohort of 313,908 participants without CKD at baseline from the UK Biobank, we examined the potential association between co-exposure to multiple air pollutants, including PM2.5, PM10, PM2.5–10, NO2 and NOx, and the incidence of CKD by calculating an air pollution score. …”
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Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways by Xiaobao Dong, Huanhuan Liu, Ting Tong, Liuxing Wu, Jianhua Wang, Tianyi You, Yongjian Wei, Xianfu Yi, Hongxi Yang, Jie Hu, Haitao Wang, Xiaoyan Wang, Mulin Jun Li

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Healthy dietary patterns and the incidence of chronic kidney disease: results from a prospective cohort study by Yong-Ping Lu, Bin Xia, Xiao-Hua Wang, Qiang-Sheng He, Chang-Bo Qu, Ying-Ying Xie, Tian-Jiao Cui, Si-Qing Wu, Jin-Yu Zhao, Zhi-Hua Zheng, Ting Zhu, Jin-Qiu Yuan, Chun Tang

“…Methods Data from the UK Biobank cohort, which included over 500,000 participants aged 40–69 from diverse regions of England, Wales, and Scotland, were analyzed. …”
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Polygenic height prediction for the Han Chinese in Taiwan by Chih-Hao Chang, Che-Yu Chou, Timothy G. Raben, Shih-Ann Chen, Yuh-Jyh Jong, Jeng-Yih Wu, Shun-Fa Yang, Hsiang-Cheng Chen, Yen-Lin Chen, Ming Chen, Gwo-Chin Ma, Chih-Yang Huang, Tso-Fu Wang, Sing-Lian Lee, Chen-Fang Hung, See-Tong Pang, Erik Widen, Yao-Ming Chang, Erh-Chan Yeh, Chun-Yu Wei, Chien-Hsiun Chen, Stephen D. H. Hsu, Pui-Yan Kwok

“…We analyzed data from 78,719 Taiwan Biobank (TWB) participants and 40,641 Taiwan Precision Medicine Initiative (TPMI) participants using genome-wide association study and multivariable linear regression least absolute shrinkage and selection operator (LASSO) methods to incorporate genetic and non-genetic factors for height prediction. …”
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Machine learning-based plasma metabolomics for improved cirrhosis risk stratification by Jingru Song, Ziwei Gao, Liqun Lai, Jie Zhang, Binbin Liu, Yi Sang, Siqi Chen, Jiachen Qi, Yujun Zhang, Huang Kai, Wei Ye

“…Methods This study used proton nuclear magnetic resonance (1 H-NMR) serum metabolomics data from the UK Biobank (UKB) and employed elastic net-regularized Cox proportional hazards models to explore the role of metabolomics in cirrhosis risk stratification in patients with CLD. …”
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Associations and potential epigenetic changes between air pollution and osteoarthritis risk and survival: Insights from a prospective cohort study by Jing Qian, Jiahao Zhu, Yifan Wang, Ruoqi Dai, Jingyou Miao, Ye Yang, Wenxia Zhao, Jing Wang, Lilu Ding, Dan Zhou, Min Yu, Yingjun Li

“…Methods: We conducted a prospective cohort study in the UK Biobank, estimating exposure levels of particulate matter (PM2.5, PM10, PM2.5–10), nitrogen oxides (NO2, NOx), and air pollutants exposure score (APES). …”
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Dose-response associations of device-measured sleep regularity and duration with incident dementia in 82391 UK adults by Wenxin Bian, Raaj K. Biswas, Matthew N. Ahmadi, Yu Sun Bin, Svetlana Postnova, Andrew J. K. Phillips, Nicholas A. Koemel, Jean-Philippe Chaput, Shantha M. W. Rajaratnam, Peter A. Cistulli, Emmanuel Stamatakis

“…Methods Population-based prospective cohort study of 82,391 adults aged 43 to 79 years from the UK Biobank accelerometry subsample, collected between 2013 and 2015, followed up to 2022. …”
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Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer by Congcong Chen, Yang Li, Yayun Gu, Qiqi Zhai, Songwei Guo, Jun Xiang, Yuan Xie, Mingxing An, Chenmeijie Li, Na Qin, Yanan Shi, Liu Yang, Jun Zhou, Xianfeng Xu, Ziye Xu, Kai Wang, Meng Zhu, Yue Jiang, Yuanlin He, Jing Xu, Rong Yin, Liang Chen, Lin Xu, Juncheng Dai, Guangfu Jin, Zhibin Hu, Cheng Wang, Hongxia Ma, Hongbing Shen

“…We developed a modified polygenic risk score using the potential causal variants from Chinese populations, improving the performance of risk prediction in 450,821 Europeans from the UK Biobank. Our findings not only augment the understanding of the genetic architecture underlying NSCLC susceptibility but also provide strategy to advance NSCLC risk stratification.…”
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Association of accelerated phenotypic aging, genetic risk, and lifestyle with progression of type 2 diabetes: a prospective study using multi-state model by Lulu Pan, Yahang Liu, Chen Huang, Yifang Huang, Ruilang Lin, Kecheng Wei, Ye Yao, Guoyou Qin, Yongfu Yu

“…Methods We conducted a prospective cohort study that included 376,083 adults free of T2D and diabetes-related events at baseline in UK Biobank. PhenoAgeAccel > 0 and ≤ 0 were defined as biologically older and younger than chronological age. …”
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Enterococcus and Eggerthella species are enriched in the gut microbiomes of COVID-19 cases in Uganda by Carolina Agudelo, David Patrick Kateete, Emmanuel Nasinghe, Rogers Kamulegeya, Christopher Lubega, Monica Mbabazi, Noah Baker, Kathryn Y. Lin, Chang C. Liu, Arthur Shem Kasambula, Edgar Kigozi, Kevin Komakech, John Mukisa, Kassim Mulumba, Patricia Mwachan, Brenda Sharon Nakalanda, Gloria Patricia Nalubega, Julius Nsubuga, Diana Sitenda, Henry Ssenfuka, Giana T. Cirolia, Jeshua T. Gustafson, Ruohong Wang, Moses Luutu Nsubuga, Fahim Yiga, Sarah A. Stanley, Bernard Ssentalo Bagaya, Alison Elliott, Moses Joloba, Ashley R. Wolf

“…Results We used stool samples in a Ugandan biobank collected from COVID-19 cases during 2020–2022. …”
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Relationship between physical activity level, leisure sedentary time, and frailty among residents aged 30 – 79 years in Wuzhong district, Suzhou city: a baseline surveillance data... by Xikang FAN, Jiang HUA, Jian SU, Hao YU, Yan LU, Yujie HUA, Jianrong JIN, Pei PEI, Dianjianyi SUN, Canqing YU, Jun LYU, Jinyi ZHOU, Ran TAO

“…MethodsData were collected from 53 269 residents aged 30 – 79 years in Wuzhong district, Suzhou city, who participated in the baseline survey of the China Kadoorie Biobank (CKB) from November 2004 to January 2008. …”
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