Characterization of cuproptosis identified immune microenvironment and prognosis in acute myeloid leukemia

Background Recent studies have reported that cuproptosis, a novel cell death pathway, strongly correlates with mitochondrial metabolism. In addition, the studies reported that cuproptosis plays a role in the development of several cancers and is regulated by protein lipoylation. During cuproptosis, copper binds to the lipoylated proteins and mediates cancer progression. However, the role of cuproptosis in acute myeloid leukemia (AML) patients is yet to be explored. Methods This study curated seven cuproptosis-related-genes (CRGs): FDX1, DLAT, PDHB, PDHA1, DLD, LIAS, and LIPT1 to determine cuproptosis modification patterns and the CRGs signature in AML. The CIBERSORT and ssGSEA algorithms were utilized to evaluate the infiltration levels of different immune cell subtypes. A cuproptosis score system based on differentially expressed genes (DEGs) was constructed using the least absolute shrinkage and selection operator (LASSO) regression analysis. The developed cuproptosis score system was validated using two immunotherapy datasets, IMvigor210 and GSE78220. Results Three distinct cuproptosis regulation patterns were identified using the Beat AML cohort. The results demonstrated that the three cuproptosis regulation patterns were correlated with various biological pathways and clinical outcomes. Tumor microenvironment (TME) characterization revealed that the identified cuproptosis regulation patterns were consistent with three immune profiles: immune-desert, immune-inflamed, and immune-excluded. The AML patients were grouped into low- and high-score groups based on the cuproptosis score system abstracted from 486 cuproptosis-related DEGs. Patients with lower cuproptosis scores were characterized by longer survival time and attenuated immune infiltration. It was found that lower cuproptosis scores were strongly correlated with lower somatic mutation frequency (AU)

Synergistic Effects of Co3Se4 and Ti2C3Tx for Performance Enhancement on Lithium-Sulfur Batteries.

As electronic equipment develops rapidly, higher requirements are placed on electrochemical energy-storage devices. These requirements can be met by a lithium-sulfur (Li-S) battery since it has an impressive energy density of 2600 Wh kg-1 and a high theoretical specific capacity of 1675 mAh g-1. Pitifully, the sluggish redox reaction kinetics and the shuttle effect of polysulfide seriously limit its applications. Separator modification has been proven to be an effective strategy for improving the performance of Li-S batteries. Herein, we have designed a competent three-dimensional separator. It is obtained by embedding Co3Se4 nanoparticles on nitrogen-doped porous carbon (Co3Se4@N-C) by high-temperature selenization of ZIF-67, which are compounded with Ti3C2Tx by electrostatic dispersion self-assembly, and the compound is used to adjust the surface properties of a polypropylene (PP) separator. Due to the synergistic effect of the superior catalytic performance of Co3Se4@N-C and the enhancement of adsorption and conductivity bestowed by Ti3C2Tx, lithium-sulfur batteries perform excellently with the modified PP separator. Specifically, the battery with a Co3Se4@N-C/Ti3C2Tx-modified PP separator exhibits an outstanding rate performance of 787 mAh g-1 at 4C, and stable performance is maintained after 300 cycles at 2C. The density functional theory (DFT) calculations are also performed to confirm the synergistic effect of Co3Se4@N-C and Ti3C2Tx. This design integrates the merits of catalysis and adsorption and provides a new method for constructing high-performance lithium-sulfur batteries.

Characterization of cuproptosis identified immune microenvironment and prognosis in acute myeloid leukemia.

BACKGROUND: Recent studies have reported that cuproptosis, a novel cell death pathway, strongly correlates with mitochondrial metabolism. In addition, the studies reported that cuproptosis plays a role in the development of several cancers and is regulated by protein lipoylation. During cuproptosis, copper binds to the lipoylated proteins and mediates cancer progression. However, the role of cuproptosis in acute myeloid leukemia (AML) patients is yet to be explored. METHODS: This study curated seven cuproptosis-related-genes (CRGs): FDX1, DLAT, PDHB, PDHA1, DLD, LIAS, and LIPT1 to determine cuproptosis modification patterns and the CRGs signature in AML. The CIBERSORT and ssGSEA algorithms were utilized to evaluate the infiltration levels of different immune cell subtypes. A cuproptosis score system based on differentially expressed genes (DEGs) was constructed using the least absolute shrinkage and selection operator (LASSO) regression analysis. The developed cuproptosis score system was validated using two immunotherapy datasets, IMvigor210 and GSE78220. RESULTS: Three distinct cuproptosis regulation patterns were identified using the Beat AML cohort. The results demonstrated that the three cuproptosis regulation patterns were correlated with various biological pathways and clinical outcomes. Tumor microenvironment (TME) characterization revealed that the identified cuproptosis regulation patterns were consistent with three immune profiles: immune-desert, immune-inflamed, and immune-excluded. The AML patients were grouped into low- and high-score groups based on the cuproptosis score system abstracted from 486 cuproptosis-related DEGs. Patients with lower cuproptosis scores were characterized by longer survival time and attenuated immune infiltration. It was found that lower cuproptosis scores were strongly correlated with lower somatic mutation frequency. Moreover, patients with lower cuproptosis scores presented more favorable immune responses and dual clinical benefits among external validation cohorts. CONCLUSIONS: Cuproptosis phenotypes are significantly correlated with immune microenvironment complexity and variety. Cuprotopsis regulates the response of cancer cells to the immune system. Quantitatively assessing cuproptosis phenotypes in AML improves the understanding and knowledge regarding immune microenvironment characteristics and promotes the development of therapeutic interventions.

The 100 most-cited articles on bibliotherapy: a bibliometric analysis.

Bibliotherapy is an important part of art therapy and many publications regarding bibliotherapy have been published in the past. However, there has none about the scientometric study to systematically analyze the development and emerging research trends on bibliotherapy. Therefore, we performed a scientometric investigation to describe trends of this theme. All publications related to bibliotherapy published from 1980 to 2020 were identified and selected from Science Citation Index Expanded, Social Sciences Citation Index, and Arts & Humanities Citation Index of Web of Science Core Collection. VOSviewer was used to create collaborative network plots of countries, institutions, and authors and to perform cluster analysis of keywords. A total of 703 articles were searched, and we retrieved the 100 most cited articles published by 146 institutions from 15 countries in 57 academic journals. The United States occupied a leading position in the field of bibliotherapy and Linköping University was the most productive institution. Journal of Consulting and Clinical Psychology was the most productive journal. Andersson G, Carlbring P, and Cuijpers P may have an important influence on bibliotherapy research. The applications in depression, anxiety, panic disorder, insomnia, and aphasia are the hot themes. This scientometric review provided a comprehensive understanding of the bibliotherapy research using quantitative and qualitative methods, which can provide references for researchers in the bibliotherapy field. As investigators continue to work, we look forward to the development of bibliotherapy efficacy and the implementation form and steps.

Effect of intracranial electrical stimulation on dynamic functional connectivity in medically refractory epilepsy.

Objective: The objective of this study was to explore the distributed network effects of intracranial electrical stimulation in patients with medically refractory epilepsy using dynamic functional connectivity (dFC) and graph indicators. Methods: The time-varying connectivity patterns of dFC (state-based metrics) as well as topological properties of static functional connectivity (sFC) and dFC (graph indicators) were assessed before and after the intracranial electrical stimulation. The sliding window method and k-means clustering were used for the analysis of dFC states, which were characterized by connectivity strength, occupancy rate, dwell time, and transition. Graph indicators for sFC and dFC were obtained using group statistical tests. Results: DFCs were clustered into two connectivity configurations: a strongly connected state (state 1) and a sparsely connected state (state 2). After electrical stimulation, the dwell time and occupancy rate of state 1 decreased, while that of state 2 increased. Connectivity strengths of both state 1 and state 2 decreased. For graph indicators, the clustering coefficient, k-core, global efficiency, and local efficiency of patients showed a significant decrease, but the brain networks of patients exhibited higher modularity after electrical stimulation. Especially, for state 1, there was a significant decrease in functional connectivity strength after stimulation within and between the frontal lobe and temporary lobe, both of which are associated with the seizure onset. Conclusion: Our findings demonstrated that intracranial electrical stimulation significantly changed the time-varying connectivity patterns and graph indicators of the brain in patients with medically refractory epilepsy. Specifically, the electrical stimulation decreased functional connectivity strength in both local-level and global-level networks. This might provide a mechanism of understanding for the distributed network effects of intracranial electrical stimulation and extend the knowledge of the pathophysiological network of medically refractory epilepsy.