Malignant pleural effusion (MPE) refers to the accumulation of pleural fluid caused by metastasis from primary pleural malignancies or tumors originating elsewhere. It is associated with a poor prognosis. Current treatment strategies primarily include systemic anti-tumor therapy and local management of MPE based on the primary tumor. Numerous studies have documented diverse approaches for the local control of MPE. This review summarizes recent advances in local treatment strategies for primary tumor-related MPE, highlighting emerging pharmacological agents and innovative techniques.
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Humans ; Pleural Effusion, Malignant/drug therapy*

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

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Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.

AIM:This study aims to investigate the impact of TWIK-1 channels on abnormal pacemaker activi-ties induced by hypokalemia and to elucidate the underlying mechanisms.METHODS:The gene sequences encoding hu-man TWIK-1,specific TWIK-1 shRNA and TWIK-1-T118i mutant were synthesized and subsequently subcloned into lenti-viral vectors.To knock down the TWIK-1 gene in human induced pluripotent stem cell-derived cardiomyocytes(hiPSC-CMs),the cells were transduced with lentivirus carrying the specific TWIK-1 shRNA sequences.For the overexpression of TWIK-1 or the TWIK-1-T118i mutant in HL-1 mouse cardiomyocytes,the cells received lentiviral transduction containing the respective gene sequences.Patch-clamp techniques were employed to assess the effects of 1 mmol/L extracellular K+on the membrane potentials and whole-cell currents of the cardiomyocytes.RESULTS:Under conditions of 1 mmol/L extra-cellular K+,depolarization of membrane potentials was observed in the hiPSC-CMs and the HL-1 mouse cardiomyocytes ex-pressing human TWIK-1 channel,leading to the induction of abnormal pacemaker activities.This phenomenon could be reversibly abolished by the removal of extracellular Na+or inhibited through TWIK-1 knockdown.In contrast,the mem-brane potentials of HL-1 mouse cardiomyocytes expressing human TWIK-1-T118i mutant hyperpolarized,with no occur-rence of abnormal pacemaker activities.The hiPSC-CMs exhibiting abnormal pacemaker activities at 1 mmol/L extracellu-lar K+demonstrated TWIK-1-like Na+leak currents,which were blocked by quinine,a non-selective blocker of TWIK-1.CONCLUSION:The TWIK-1 channels play a critical role in the development of hypokalemia-induced abnormal pace-maker activities in human cardiomyocytes by facilitating Na+leak currents.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM:This study aims to investigate the impact of TWIK-1 channels on abnormal pacemaker activi-ties induced by hypokalemia and to elucidate the underlying mechanisms.METHODS:The gene sequences encoding hu-man TWIK-1,specific TWIK-1 shRNA and TWIK-1-T118i mutant were synthesized and subsequently subcloned into lenti-viral vectors.To knock down the TWIK-1 gene in human induced pluripotent stem cell-derived cardiomyocytes(hiPSC-CMs),the cells were transduced with lentivirus carrying the specific TWIK-1 shRNA sequences.For the overexpression of TWIK-1 or the TWIK-1-T118i mutant in HL-1 mouse cardiomyocytes,the cells received lentiviral transduction containing the respective gene sequences.Patch-clamp techniques were employed to assess the effects of 1 mmol/L extracellular K+on the membrane potentials and whole-cell currents of the cardiomyocytes.RESULTS:Under conditions of 1 mmol/L extra-cellular K+,depolarization of membrane potentials was observed in the hiPSC-CMs and the HL-1 mouse cardiomyocytes ex-pressing human TWIK-1 channel,leading to the induction of abnormal pacemaker activities.This phenomenon could be reversibly abolished by the removal of extracellular Na+or inhibited through TWIK-1 knockdown.In contrast,the mem-brane potentials of HL-1 mouse cardiomyocytes expressing human TWIK-1-T118i mutant hyperpolarized,with no occur-rence of abnormal pacemaker activities.The hiPSC-CMs exhibiting abnormal pacemaker activities at 1 mmol/L extracellu-lar K+demonstrated TWIK-1-like Na+leak currents,which were blocked by quinine,a non-selective blocker of TWIK-1.CONCLUSION:The TWIK-1 channels play a critical role in the development of hypokalemia-induced abnormal pace-maker activities in human cardiomyocytes by facilitating Na+leak currents.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.