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Objective: The optimal low‐dose antiplatelet agents in patients with coronary heart disease (CHD) had not been determined. The objective of this study was to compare the impact of different low‐dose antiplatelet agents on cardiovascular outcomes and bleeding risks in patients with CHD. Methods: We searched PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, VIP, WanFang Data, and China Biology Medicine. Randomized controlled trials (RCTs) enrolling patients with CHD treated with different low‐dose platelet aggregation inhibitors were included. The revised Cochrane Risk of Bias Tool for Randomized Trials Risk was used to assess risk of bias in RCTs. A Bayesian random network meta‐analysis (NMA) was conducted, with odds ratios (OR) and 95% confidence intervals (CI) as effect estimates in R 4.2.2 software and Stata 15.0. The quality of evidence was assessed using the Confidence in NMA framework. Results: Sixteen RCTs involving 6350 patients were included. All participants were treated with a recommended dose of aspirin plus a low or standard dose of P2Y12 receptor antagonist. Low‐level evidence indicated the risk of major adverse cardiovascular events (MACE) was similar among low doses of prasugrel, ticagrelor, standard doses of prasugrel, ticagrelor, and clopidogrel. Low‐ to moderate‐level evidence suggested there was no difference in bleeding risk among low dose of prasugrel, ticagrelor, clopidogrel compared to standard dose of prasugrel, ticagrelor, and clopidogrel. NMA showed that low dose of prasugrel had the highest probability of being the best intervention in terms of MACE, myocardial infarction, and bleeding events leading to discontinuation. Conclusion: Based on low‐level evidence, low dose of prasugrel combined with standard dose of aspirin can be recommended for patients with CHD, low dose of ticagrelor was similar in terms of MACE and bleeding compared with standard dose of P2Y12 receptor antagonist. The systematic review was registered in PROSPERO with the registration number CRD42023438376. [ABSTRACT FROM AUTHOR]

Increasing evidence has suggested a strong association of hepatocellular carcinoma (HCC) susceptibility and Gln223Arg (rs1137101) and Lys109Arg (rs1137100) polymorphisms in leptin receptor (LEPR) genes. To provide a quantitative assessment for such correlation, we reviewed all related systems and conducted meta‐analysis for case and control researches. A literature search of Web of Science, EMBASE, PubMed, Scopus as well as China National Knowledge Infrastructure databases was collected. 95% confidence intervals (95% CIs) together with odds ratios (ORs) were calculated. Five case–control researches consisting of 1323 cases and 1919 control cases were incorporated into meta‐analysis. Researches indicated A‐allelic and AA genotype of rs1137101 were substantially related to boosted susceptibility of hepatitis B virus (HBV)‐related HCC (mutant model, OR = 1.81, 95% CI = 1.36–2.41, p <.001; allelic model, OR = 1.55, 95% CI = 1.32–1.83, p <.001). On the contrary, we observed GG genotype of rs1137101 substantially related to reduced risk of HBV‐related HCC (wild model, OR 0.59, 95%CI = 0.46–0.75, p <.001). We observed AA genotype of rs1137100 relevant to boosted HCC risk (mutant model, OR = 1.51, 95%CI = 1.14–2.01, p =.005) as well as in those with HBV‐related HCCs (homozygous model, OR = 2.12, 95%CI = 1.49–3.02, p <.001; mutant model, OR = 1.67, 95%CI = 1.23–2.26, p =.001). G‐allele and AA genotype of rs1137101 might be in connection with boosted HBV‐related HCC susceptibility, and wild‐type GG genotype might prevent diseases. AA genotype of rs1137100 might also improve HBV‐related HCC susceptibility. Such conclusions ought to be validated by larger and better‐designed researches. [ABSTRACT FROM AUTHOR]

Pancreatic ductal adenocarcinoma (PDAC), a very aggressive tumour, is currently the third leading cause of cancer‐related deaths. Unfortunately, many patients face the issue of inoperability at the diagnostic phase leading to a quite dismal prognosis. The onset of metastatic processes has a crucial role in the elevated mortality rates linked to PDAC. Individuals with metastatic advances receive only palliative therapy and have a grim prognosis. It is essential to carefully analyse the intricacies of the metastatic process to enhance the prognosis for individuals with PDAC. Malignancy development is greatly impacted by the process of macrophage efferocytosis. Our current knowledge about the complete range of macrophage efferocytosis activities in PDAC and their intricate interactions with tumour cells is still restricted. This work aims to resolve communication gaps and pinpoint the essential transcription factor that is vital in the immunological response of macrophage populations. We analysed eight PDAC tissue samples sourced from the gene expression omnibus. We utilized several software packages such as Seurat, DoubletFinder, Harmony, Pi, GSVA, CellChat and Monocle from R software together with pySCENIC from Python, to analyse the single‐cell RNA sequencing (scRNA‐seq) data collected from the PDAC samples. This study involved the analysis of a comprehensive sample of 22,124 cells, which were classified into distinct cell types. These cell types encompassed endothelial and epithelial cells, PDAC cells, as well as various immune cells, including CD4+ T cells, CD8+ T cells, NK cells, B cells, plasma cells, mast cells, monocytes, DC cells and different subtypes of macrophages, namely C0 macrophage TGM2+, C1 macrophage PFN1+, C2 macrophage GAS6+ and C3 macrophage APOC3+. The differentiation between tumour cells and epithelial cells was achieved by the implementation of CopyKat analysis, resulting in the detection and categorization of 1941 PDAC cells. The amplification/deletion patterns observed in PDAC cells on many chromosomes differ significantly from those observed in epithelial cells. The study of Pseudotime Trajectories demonstrated that the C0 macrophage subtype expressing TGM2+ had the lowest level of differentiation. Additionally, the examination of gene set scores related to efferocytosis suggested that this subtype displayed higher activity during the efferocytosis process compared to other subtypes. The most active transcription factors for each macrophage subtype were identified as BACH1, NFE2, TEAD4 and ARID3A. In conclusion, the examination of human PDAC tissue samples using immunofluorescence analysis demonstrated the co‐localization of CD68 and CD11b within regions exhibiting the presence of keratin (KRT) and alpha‐smooth muscle actin (α‐SMA). This observation implies a spatial association between macrophages, fibroblasts, and epithelial cells. There is variation in the expression of efferocytosis‐associated genes between C0 macrophage TGM2+ and other macrophage cell types. This observation implies that the diversity of macrophage cells might potentially influence the metastatic advancement of PDAC. Moreover, the central transcription factor of different macrophage subtypes offers a promising opportunity for targeted immunotherapy in the treatment of PDAC. [ABSTRACT FROM AUTHOR]

Polyethylene oxide (PEO) gel polymer electrolyte (GPE) is a promising electrolyte for rechargeable lithium‐ion batteries (LIBs). However, they still suffer from weak mechanical properties and low ionic conductivity. Herein, a novel hybrid GPE with enhanced mechanical properties and superior ionic conductivity is developed by introducing regenerated cellulose (RC) into PEO. Benefiting from the 3D porous interconnected network structure of cellulose aerogels, the obtained PEO‐RC GPEs exhibit improved mechanical strength (up to 40 MPa), increased electrolyte absorption ability, excellent ionic conductivity (4.34 × 10−3 S cm−1), and remarkable Li‐ion transfer number (0.60). As a result, a rechargeable LIB assembled with LiFePO4/GPEs/Li demonstrates a high initial discharge capacity of 149.3 mAh g−1 at 0.2 C and an impressive capacity of 141.3 mAh g−1 (94.6% capacity retention) after 100 cycles. This work provides a new route to the design and synthesis of novel GPEs toward next‐generation safe rechargeable LIBs. [ABSTRACT FROM AUTHOR]

The single nitrogen‐vacancy (NV) centers in diamond are shown as a quantum sensor with broad applications in nanoscale sensing of magnetic field, electric field, temperature, and strain. However, the basic technique, namely, optically detected magnetic resonance to manipulate and measure single NV centers needs to be highly sped up for broad and practical applications. Here, this work shows a parallel optically detected magnetic resonance (ODMR) platform of single NV centers including the programmable excitation laser spots generated by a digital micromirror device, a four‐channel uniform microwave delivery, and the fluorescence detector based on scientific complementary metal–oxide–semiconductor camera. In the viewing field of 26 µm, hundreds of distinguishable fluorescent spots are addressed and 413 NV center spots are recognized. The magnetic resonance spectrum, Rabi oscillation, and spin echo of each NV center spot are measured in parallel. As a result, a preliminary speedup of ≈20‐fold is achieved compared to the confocal‐based ODMR and can be further extended to thousands of folds after updating the digital micromirror device and camera. [ABSTRACT FROM AUTHOR]