MMS exposure promotes increased MtDNA mutagenesis in the presence of replication-defective disease-associated DNA polymerase γ variants. by Jeffrey D Stumpf, William C Copeland

“…A novel subset of C to G transversions was responsible for about half of the mutants arising after MMS exposure implicating error-prone bypass of methylated cytosines as the predominant mutational mechanism. …”
Get full text

Large changes in detected selection signatures after a selection limit in mice bred for voluntary wheel-running behavior. by David A Hillis, Liran Yadgary, George M Weinstock, Fernando Pardo-Manuel de Villena, Daniel Pomp, Theodore Garland

“…Simulations indicate that loss of statistical power due to random genetic drift and sampling error are insufficient to explain the differences in selection signatures. …”
Get full text

Exploring the factors that promote or diminish a psychologically safe environment: a qualitative interview study with critical care staff by Stephen Brett, Eleanor Murray, Clare Leon-Villapalos, Kate Grailey

“…Team leaders can use these data to help foster a culture of openness, innovation and error prevention while minimising the risk of negative implications…”
Get full text

Unlocking the therapeutic potential of unexplored phytocompounds as hepatoprotective agents through integration of network pharmacology and in-silico analysis by Pranali A. Jadhav, Asha B. Thomas, Mohsin K. Pathan, Somdatta Y. Chaudhari, Ravindra D. Wavhale, Sohan S. Chitlange

“…Our findings demonstrate the utility of this integrated approach which transits beyond traditional trial-and-error methods. This approach will accelerate the discovery of novel hepatoprotective compounds, providing deeper insights into their mechanistic pathways and action.…”
Get full text

Cytotoxic mechanisms of pemetrexed and HDAC inhibition in non-small cell lung cancer cells involving ribonucleotides in DNA by Tobias Solli Iveland, Lars Hagen, Mirta Mittelstedt Leal de Sousa, Nina Beate Liabakk, Per Arne Aas, Animesh Sharma, Bodil Kavli, Geir Slupphaug

“…HDAC inhibition apparently exacerbates cytotoxicity of these agents by inhibiting error-free repair of misincorporated ribonucleotides in DNA. …”
Get full text

Paediatric norms for photopic electroretinogram testing based on a large cohort of Chinese preschool children by Henry Ho-lung Chan, Sonia Seen-hang Chan, Kai Yip Choi

“…Cross-sectional investigations revealed associations between ERG, age, SER and AL, which were speculated to further implicate the role of retina in refractive error development.…”
Get full text

Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…The current GWAS results identified two significant loci (rs10880574, P = 2.39E-09; rs2000900, P = 3.31E-09) which implicated two genes, TMEM117 and MYO5B, that were primarily associated with both brain- and gut-related disorders. …”
Get full text

PROBLEMATIC HADITHS IN QURRAH AL-ASHFIYA’ BY KIAI ZAINULLAH MALANG: An Intertextual Analysis by Muhammad Hilal

“…Through intertextual analysis, it is found that the first hadith is proven to be typographical error and subsequently disqualified as a hadith. …”
Get full text

The role of polygenic susceptibility to obesity among carriers of pathogenic mutations in MC4R in the UK Biobank population. by Nathalie Chami, Michael Preuss, Ryan W Walker, Arden Moscati, Ruth J F Loos

“…Furthermore, we observed that despite the key role of MC4R in obesity, the effects of pathogenic MC4R mutations may be countered, at least in part, by a low polygenic risk potentially representing other innate mechanisms implicated in body weight regulation.…”
Get full text

Decoding disease–specific ageing mechanisms through pathway-level epigenetic clock: insights from multi-cohort validationResearch in context by Pan Li, Jijun Zhu, Shenghan Wang, Haowen Zhuang, Shunjie Zhang, Zhongting Huang, Fuqiang Cai, Zhijian Song, Yuxin Liu, Weixin Liu, Sebastian Freidel, Sijia Wang, Emanuel Schwarz, Junfang Chen

“…Model accuracy was assessed using mean absolute error (MAE) and Pearson correlation (Rho). Age acceleration residuals (AgeAcc) were computed and tested for associations with nine diseases using non-parametric statistics. …”
Get full text