Background: 7-Methylguanosine (m 7 G) is one of the most conserved modifications in nucleosides within tRNAs and rRNAs. It plays essential roles in the regulation of mRNA export, splicing, and translation. Recent studies highlighted the importance of METTL1-mediated m 7 G tRNA methylome in the self-renewal of mouse embryonic stem cells (mESCs) through its ability to regulate mRNA translation. However, the exact mechanisms by which METT L1 regulates pluripotency and differentiation in human induced pluripotent stem cells (hiPSCs) remain unknown. In this study, we evaluated the functions and underlying molecular mechanisms of METTL1 in regulating hiPSC selfrenewal and differentiation in vivo and in vitro. Methods: By establishing METTL1 knockdown (KD) hiPSCs, gene expression profiling was performed by RNA sequencing followed by pathway analyses. Anti-m 7 G northwestern assay was used to identify m 7 G modifications in tRNAs and mRNAs. Polysome profiling was used to assess the translation efficiency of the major pluripotent transcription factors. Moreover, the in vitro and in vivo differentiation capacities of METTL1-KD hiPSCs were assessed in embryoid body (EB) formation and teratoma formation assays. Results: METTL1 silencing resulted in alterations in the global m 7 G profile in hiPSCs and reduced the translational efficiency of stem cell marker genes. METTL1-KD hiPSCs exhibited reduced pluripotency with slower cell cycling. Moreover, METTL1 silencing accelerates hiPSC differentiation into EBs and promotes the expression of mesodermrelated genes. Similarly, METTL1 knockdown enhances teratoma formation and mesoderm differentiation in vivo by promoting cell proliferation and angiogenesis in nude mice. Conclusion: Our findings provided novel insight into the critical role of METTL1-mediated m 7 G modification in the regulation of hiPSC pluripotency and differentiation, as well as its potential roles in vascular development and the treatment of vascular diseases.

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Background: Screening for post-stroke cognitive impairment (PSCI) is necessary because stroke increases the incidence of and accelerates premorbid cognitive decline. The Quick Mild Cognitive Impairment (Qmci) screen is a short, reliable and accurate cognitive screening instrument but is not yet validated in PSCI. We compared the diagnostic accuracy of a Chinese version of the Qmci screen (Qmci-CN) compared with the widely-used Chinese versions of the Montreal Cognitive Assessment (MoCA-CN) and Mini-Mental State Examination (MMSE-CN).Methods: We recruited 34 patients who had recovered from a stroke in rehabilitation unit clinics in 2 university hospitals in China: 11 with post-stroke dementia (PSD), 15 with post-stroke cognitive impairment no dementia (PSCIND), and 8 with normal cognition (NC). Classification was made based on clinician assessment supported by a neuropsychological battery, independent of the screening test scores. The Qmci-CN, MoCA-CN, and MMSE-CN screens were administered randomly by a trained rater, blind to the diagnosis.Results: The mean age of the sample was 63 ± 13 years and 61.8% were male. The Qmci-CN had statistically similar diagnostic accuracy in differentiating PSD from NC, an area under the curve (AUC) of 0.94 compared to 0.99 for the MoCA-CN (p = 0.237) and 0.99 for the MMSE-CN (p = 0.293). The Qmci-CN (AUC 0.91), MoCA-CN (AUC 0.94), and MMSE-CN (AUC 0.79) also had statistically similar accuracy in separating PSD from PSCIND. The MoCA-CN more accurately distinguished between PSCIND and normal cognition than the Qmci-CN (p = 0.015). Compared to the MoCA-CN, the administration times of the Qmci-CN (329s vs. 611s, respectively, p < 0.0001) and MMSE-CN (280 vs. 611s, respectively, p < 0.0001) were significantly shorter.Conclusion: The Qmci-CN is accurate in identifying PSD and separating PSD from PSCIND in patients post-stroke following rehabilitation and is comparable to the widely-used MoCA-CN, albeit with a significantly shorter administration time. The Qmci-CN had relatively poor accuracy in identifying PSCIND from NC and hence may lack accuracy for certain subgroups. However, given the small sample size, the study is under-powered to show superiority of one instrument over another. Further study is needed to confirm these findings in a larger sample size and in other settings (countries and languages).

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