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Carbon-based perovskite solar cells (C-PSCs) are widely accepted as stable, cost-effective photovoltaics. However, C-PSCs have been suffering from relatively low power conversion efficiencies (PCEs) due to severe electrode-related energy loss. Herein, we report the application of a single-atom material (SAM) as the back electrode in C-PSCs. Our Ti 1 –rGO consists of single titanium (Ti) adatoms anchored on reduced graphene oxide (rGO) in a well-defined Ti 1 O 4 -OH configuration capable of tuning the electronic properties of rGO. The downshift of the Fermi level notably minimizes the series resistance of the carbon-based electrode. By combining with an advanced modular cell architecture, a steady-state PCE of up to 20.6% for C-PSCs is finally achieved. Furthermore, the devices without encapsulation retain 98% and 95% of their initial values for 1,300 h under 1 sun of illumination at 25°C and 60 °C, respectively. Carbon materials are promising for perovskite solar cells but suffer from poor interfacial energy level alignment. Now, Zhang et al. show that Ti atomically dispersed in reduced graphene reduces energy losses improving device performance.

Atomic transition-metal-nitrogen-carbon electrocatalysts hold great promise as alternatives to benchmark Pt in the oxygen reduction reaction. The pristine metal centers with quasi square-planar D 4 h configuration, however, still suffer from unfavorable energetics and thereby strong activity/selectivity trade-off during the catalytic process. Here we present a ligand-field engineering of single-atom Ni-N-C catalysts to boost the sluggish kinetics via rationally constructing prototypical asymmetrically ligated Ni-N 3 O 1 sites. The as-obtained Ni-supported multi-walled carbon nanotubes with molten salt-treated (defined as Ni/CNS) catalyst delivered an excellent H 2 O 2 selectivity (> 90%) within a wide potential window (0.2–0.7 V vs. reversible hydrogen electrode (RHE)) and robust stability (for 10 h) in alkaline medium. Combined electron paramagnetic resonance and theoretical analysis rationalize this finding and demonstrate that the broken symmetry facilitates the electron transfer of a σ* to O-O orbital as compared to the Ni-N 4 counterpart, playing an indispensable role in efficient O 2 activation.

Dilated cardiomyopathy (DCM) is a common cause of heart failure, thromboembolism, arrhythmias, and sudden cardiac death. The quality of life and long-term survival rates of patients with dilated DCM have greatly improved in recent decades. Nevertheless, the clinical prognosis for DCM patients remains unfavorable. The primary driving factors underlying the pathogenesis of DCM remain incompletely understood. The present study aimed to identify driving factors underlying the pathogenesis of DCM from the perspective of gene regulatory networks. Single-cell RNA sequencing data and bulk RNA data were obtained from the Gene Expression Omnibus (GEO) database. Differential gene analysis, single-cell genomics analysis, and functional enrichment analysis were conducted using R software. The construction of Gene Regulatory Networks was performed using Python. We used the pySCENIC method to analyze the single-cell data and identified 401 regulons. Through variance decomposition, we selected 19 regulons that showed significant responsiveness to DCM. Next, we employed the ssGSEA method to assess regulons in two bulk RNA datasets. Significant statistical differences were observed in 9 and 13 regulons in each dataset. By intersecting these differentiated regulons and identifying shared targets that appeared at least twice, we successfully pinpointed three differentially expressed targets across both datasets. In this study, we assessed and identified 19 gene regulatory networks that were responsive to the disease. Furthermore, we validated these networks using two bulk RNA datasets of DCM. The elucidation of dysregulated regulons and targets (CDKN1A, SAT1, ZFP36) enhances the molecular understanding of DCM, aiding in the development of tailored therapies for patients.

Background Glioma is the most common primary malignant brain tumor in adults. Temozolomide (TMZ) represents a standard-of-care chemotherapeutic agent in glioblastoma (GBM). However, the development of drug resistance constitutes a significant hurdle in the treatment of malignant glioma. Elucidating the mechanisms of temozolomide (TMZ) resistance in glioma is of critical clinical importance for improving patient prognosis and developing novel therapeutic strategies. Methods We obtained RNA sequencing (RNA-seq) data of 648 glioma samples from The Cancer Genome Atlas (TCGA) and 325 samples from the Chinese Glioma Genome Atlas (CGGA) as study cohorts. Additionally, we validated the expression characteristics of the NR2F6 gene in our in-house cohort of glioma patients. Furthermore, we investigated the potential mechanism of NR2F6 in TMZ resistance in glioma by constructing TMZ-resistant cell lines in vitro. Statistical analyses and graphical work were primarily performed using R language and GraphPad Prism software. Results We observed a significant upregulation of NR2F6 expression in high-grade gliomas, which is associated with an unfavorable prognosis in patients. Concurrently, our findings revealed a significant upregulation of NR2F6 in drug-resistant cells, which induced TMZ resistance in glioma cells via the E2F2-PARP1 axis. Conclusion In brief, NR2F6, as a nuclear transcription factor, enhances the transcription of E2F2.The increased expression of E2F2 enhances PARP1 expression, which in turn facilitates TMZ-mediated DNA damage repair, thereby diminishing glioma sensitivity to TMZ.

Background: Several quantitative systematic reviews of Kanglaite (KLT), an herb preparation used to treat cancer and malignant pleural effusion, have been published in recent years. However, the clinical evidence reported in these studies has not been pursued further and the methodological quality of these meta-analyses remains unknown. Therefore, an overview was designed to map the evidence landscape based on the published meta-analyses on KLT in cancer treatment. Methods: Two bibliographic databases (PubMed and Embase) were searched from inception to 25 November 2021. Two independent reviewers were involved in study selection, data abstraction, and methodological quality assessment using AMSTAR 2. The principal features of publications and the clinical outcomes of efficacy and safety were synthesized narratively, and results of methodological quality were reported as frequencies and percentages with the corresponding 95% confidence intervals. The evidence map was used to visualize the overall quality. Excel 2016 and Stata 17/SE were used for data analysis. Results: Thirteen meta-analyses published in English were included for in-depth analysis. Among them, the year of publication ranged from 2008 to 2021, and the number of included patients ranged from 488 to 2,964. Regarding the cancer type, seven articles focused on non-small cell lung cancer, two on malignant pleural effusion, and four reviews on digestive system malignancies, such as hepatocellular carcinoma and pancreatic cancer. Almost all included meta-analyses reported that KLT as adjunctive therapy could improve various efficacy outcomes (such as disease response rates, quality of life, immune indicators) and reduce the rate of occurrence of adverse reactions, such as nausea and vomiting, leukopenia, and anemia. In terms of their methodological quality, three meta-analyses were of low quality, whereas 10 studies were critically low in quality. The methodological flaws main involved items 2 (“predesigned protocol and registration informatio’’), 3 (“rationale of study design for inclusion”), 4 (“comprehensive search strategy’’), 5 (“literature selection in duplicate’’), 7 (“list of excluded studies with reasons’’), 8 (“adequate information on included studies’’), 10 (“funding support for included primary studies’’), and 12 (“evaluation of the potential impact of risk of bias’’) based on the AMSTAR 2 tool. Conclusion: Current evidence reveals that KLT is effective and safe as an adjunctive treatment for non-small cell lung cancer, malignant pleural effusion, and digestive system malignancies (such as hepatocellular carcinoma). However, the results assessed in this overview should be further verified using well-designed and clearly reported clinical trials and meta-analyses of KLT.

•The reporting quality and risk of bias of randomized controlled trials (RCTs) of acupuncture for migraine were assessed using STRICTA and RoB 2.0, respectively.•We found that seven sub-items had high reporting rate, and the following four sub-items (“details of other interventions”, “setting and context of treatment”, “the extent to which treatment was varied”, and “number of needle insertions per subject per session”) had a low reporting rate.•A total of 127 outcomes of 32 different outcomes were reported in 28 RCTs. nine RCTs (32%) were at high RoB, 11 (39%) showed some concerns, and eight (29%) were at low RoB for their outcomes.•The reporting quality and RoB of RCTs on acupuncture for migraine remain suboptimal, including low reporting quality and high RoB. To investigate the reporting quality and risk of bias of randomized controlled trials (RCTs) of acupuncture for migraine, to facilitate and improve the quality of RCTs of acupuncture for migraine. The Cochrane Library, PubMed and EMBASE were searched from inception to June 11, 2019 using a comprehensive search strategy. The reporting quality and risk of bias of included RCTs were independently evaluated by two investigators using STRICTA and RoB 2.0. Any disagreement was resolved by a third investigator. A total of 28 eligible RCTs were published in 24 academic journals from 1994 to 2018. Based on STRICTA, four sub-items including “details of other interventions’’ (1/28, 4 %), “setting and context of treatment” (9/28, 32 %), “the extent to which treatment was varied” (11/28, 39 %), and “number of needle insertions per subject per session” (13/28, 46 %), showed low reporting quality. A total of 32 different outcomes were reported in 28 RCTs, and based on RoB 2.0, nine (9/28, 32 %) RCTs were judged to be high RoB, three of which were owing to deviations from intended interventions; 11(11/28, 39 %) RCTs elicited some concerns; and eight (8/28, 29 %) RCTs were low RoB for their outcomes. The reporting quality and risk of bias of RCTs of acupuncture for migraine remain suboptimal. Therefore, all stakeholders should make a contribution to improve the quality of RCTs of acupuncture for migraine using STRICTA and RoB 2.0, while not limiting this approach solely to studies on migraine, using STRICTA and RoB 2.0 tools.