The ocean plays a critical role in the global carbon cycle,and base on the"dual carbon"goals,ocean carbon sinks have received widespread attention.Shellfish aquaculture is one of the most important sources of carbon sinks in fisheries,which has an important impact on the offshore carbon cy-cle.As global temperature rises and ocean acidification intensifies,the capacity of the ocean to absorb CO2 will change.However,the effects of high temperature on the physiology and transcriptome related to carbon metabolism in Mytilus coruscus are not clear enough.This study investigated the effects of high temperatures on the total carbon content,carbon metabolism,antioxidant-related enzyme activities,and the transcriptome of Mytilus coruscus.The results showed that high temperature significantly inhibited the activities of hexokinase and pyruvate kinase,increased carbonic anhydrase activity(P＜0.05),de-creased the ATP content of digestive glands(P＜0.05),and affected glycolysis and the tricarboxylic acid cycle,leading to a significant decrease in the mussel's ability to sequester carbon.High temperature re-sulted in significant(P＜0.05)increases in the levels of reactive oxygen species and malondialdehyde,and enhanced the activities of superoxide dismutase and catalase.Observations by transmission electron microscopy showed that high temperatures damaged the subcellular structure of the digestive gland in Mytilus coruscus,resulting in the shrinkage of the nucleolus,swelling of the endoplasmic reticulum,and a significant reduction in the mitochondrial cristae.Comparative transcriptomic analysis showed that the upregulated DEGs were mainly enriched in protein processing in the endoplasmic reticulum,antigen pro-cessing and presentation,and MAPK signaling pathway.The downregulated DEGs were mainly enriched in necroptosis,DNA replication,and the NF-kappa B signaling pathway.In antioxidant-related DEGs,the upregulated DEGs include vitamin K epoxide reductase,peroxidases,heat shock protein 105 kD,heat shock protein 70 kD,and superoxide dismutase;The downregulated DEGs mainly included NADPH oxidase,glutathione reductase,cytochrome b-245,cytochrome P450,and quinone reductase.The up-regulated genes enriched in the carbon metabolism pathway included chitinase,phosphatidylinositol 4,5-bisphosphate 3-kinase,phosphoenolpyruvate carboxykinase,galactokinase,and inositol trisphosphate 3-kinase.The downregulated genes included aldose-1-epimerase,carbonic anhydrase,galactose mutaro-tase,acyl-CoA synthetase,alcohol dehydrogenase,and hexokinase.In conclusion,high temperature has an inhibitory effect on the activities of enzymes and the expression of genes related to carbon metabolism in Mytilus coruscus.The results of this study are intended to provide a scientific basis for the healthy de-velopment of mussel aquaculture and the assessment of carbon sinks.

The ocean plays a critical role in the global carbon cycle,and base on the"dual carbon"goals,ocean carbon sinks have received widespread attention.Shellfish aquaculture is one of the most important sources of carbon sinks in fisheries,which has an important impact on the offshore carbon cy-cle.As global temperature rises and ocean acidification intensifies,the capacity of the ocean to absorb CO2 will change.However,the effects of high temperature on the physiology and transcriptome related to carbon metabolism in Mytilus coruscus are not clear enough.This study investigated the effects of high temperatures on the total carbon content,carbon metabolism,antioxidant-related enzyme activities,and the transcriptome of Mytilus coruscus.The results showed that high temperature significantly inhibited the activities of hexokinase and pyruvate kinase,increased carbonic anhydrase activity(P＜0.05),de-creased the ATP content of digestive glands(P＜0.05),and affected glycolysis and the tricarboxylic acid cycle,leading to a significant decrease in the mussel's ability to sequester carbon.High temperature re-sulted in significant(P＜0.05)increases in the levels of reactive oxygen species and malondialdehyde,and enhanced the activities of superoxide dismutase and catalase.Observations by transmission electron microscopy showed that high temperatures damaged the subcellular structure of the digestive gland in Mytilus coruscus,resulting in the shrinkage of the nucleolus,swelling of the endoplasmic reticulum,and a significant reduction in the mitochondrial cristae.Comparative transcriptomic analysis showed that the upregulated DEGs were mainly enriched in protein processing in the endoplasmic reticulum,antigen pro-cessing and presentation,and MAPK signaling pathway.The downregulated DEGs were mainly enriched in necroptosis,DNA replication,and the NF-kappa B signaling pathway.In antioxidant-related DEGs,the upregulated DEGs include vitamin K epoxide reductase,peroxidases,heat shock protein 105 kD,heat shock protein 70 kD,and superoxide dismutase;The downregulated DEGs mainly included NADPH oxidase,glutathione reductase,cytochrome b-245,cytochrome P450,and quinone reductase.The up-regulated genes enriched in the carbon metabolism pathway included chitinase,phosphatidylinositol 4,5-bisphosphate 3-kinase,phosphoenolpyruvate carboxykinase,galactokinase,and inositol trisphosphate 3-kinase.The downregulated genes included aldose-1-epimerase,carbonic anhydrase,galactose mutaro-tase,acyl-CoA synthetase,alcohol dehydrogenase,and hexokinase.In conclusion,high temperature has an inhibitory effect on the activities of enzymes and the expression of genes related to carbon metabolism in Mytilus coruscus.The results of this study are intended to provide a scientific basis for the healthy de-velopment of mussel aquaculture and the assessment of carbon sinks.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

Aim To investigate the expression of or-ganic anion transporting polypeptide 4C1(Oatp4c1)-P-glycoprotein(P-gp)in the kidneys of obese mice in-duced by high-fat diet(HFD),and its impact on the pharmacokinetic changes of digoxin.Methods C57BL/6 mice were randomly divided into the Chow group and the HFD group.Body weight and blood glu-cose were recorded weekly.After successful model es-tablishment,digoxin was intraperitoneally injected,and blood was collected at different time points.Part of the blood samples was used for LC-MS/MS detection,and the other part was used for the detection of other bio-chemical indicators.After 16 weeks,the organs were removed and weighed.HE and immunohistochemical staining was used to observe the renal pathology and the expression of Villin,a marker of proximal tubules.Western blot and qPCR were combined to detect the expression of Villin,Oatp4c1 and P-gp.Results In the HFD group,body weight and blood glucose in-creased significantly.The blood concentration of digox-in rose,the area under the curve increased,and the half-life was prolonged.The proximal tubular epithelial cells shed,and the protein expression of Villin,Oatp4c1 and P-gp decreased significantly.Conclu-sions The down-regulation of Oatp4c1-P-gp expres-sion in the kidneys of HFD mice leads to an increase in the blood concentration of digoxin and a decrease in re-nal clearance.

Gene editing technology has become an important tool for biomedical research because of its high efficiency and precision in target gene localization and cleavage.The technology not only facilitates basic research on gene function,but also provides new strategies for gene therapy of hereditary diseases and genetic improvement of crops.With the integration of artificial intelligence(AI)technology,espe-cially the application of machine learning algorithms,the design and execution of gene editing have be-come more intelligent.AI technology optimizes the design of sgRNAs through predictive analysis and pat-tern recognition,improving the specificity and efficiency of editing while reducing the risk of off-target effects.In addition,AI plays a key role in the parsing of large-scale genomic data,providing new per-spectives for understanding complex biological processes and disease mechanisms.This paper reviews the research progress of data-driven gene editing technology in target precision,safety enhancement and per-sonalized therapy,aiming to provide reference and inspiration for researchers in the field of gene editing technology and to promote the application and development of AI in gene editing technology.

Gene editing technology has become an important tool for biomedical research because of its high efficiency and precision in target gene localization and cleavage.The technology not only facilitates basic research on gene function,but also provides new strategies for gene therapy of hereditary diseases and genetic improvement of crops.With the integration of artificial intelligence(AI)technology,espe-cially the application of machine learning algorithms,the design and execution of gene editing have be-come more intelligent.AI technology optimizes the design of sgRNAs through predictive analysis and pat-tern recognition,improving the specificity and efficiency of editing while reducing the risk of off-target effects.In addition,AI plays a key role in the parsing of large-scale genomic data,providing new per-spectives for understanding complex biological processes and disease mechanisms.This paper reviews the research progress of data-driven gene editing technology in target precision,safety enhancement and per-sonalized therapy,aiming to provide reference and inspiration for researchers in the field of gene editing technology and to promote the application and development of AI in gene editing technology.

Objective:To investigate the predictive value of endothelial activation and stress index(EASIX)for the prognosis of patients with mantle cell lymphoma(MCL).Methods:A retrospective analysis was conducted to assess prognosis and compare the clinical features of patients diagnosed with MCL who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to June 2023,had therapeutic indications and received standard treatment.Results:A total of 66 patients were included and divided into high EASIX group and low EASIX group,according to a cutoff value of 0.97 determined by the receiver operating characteristic(ROC)curve.Multivariate Cox regression analysis showed that prealbumin＜0.2 g/L,high EASIX,and ECOG PS score ≥2 were independent risk factors influencing overall survival(OS)in MCL patients.The median OS of patients in the high and low EASIX group was 13.0 and 37.5 months,and the median progression-free survival was 8.8 and 26.0 months,respectively.The proportions of patients with ECOG PS score ≥2 and prealbumin＜0.2 g/L at onset significantly increased in the high EASIX group compared to those in the low EASIX group.Conclusion:At the time of initial diagnosis,EASIX can serve as an independent prognostic indicator impacting OS in patients with MCL.Furthermore,patients in the high EASIX group experience a poorer prognosis and shorter survival duration compared with those in the low EASIX group.

Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

This study aims to explore the effects and mechanisms of the traditional Chinese medicine Cordyceps sinensis(CS) in ameliorating heart aging and injury in mice based on animal experiments and network pharmacology. A mouse model of heart aging was established by continuously subcutaneous injection of D-galactose(D-gal). Thirty mice were randomly assigned into a normal group, a model group, a low-dose CS(CS-L) group, a high-dose CS(CS-H) group, and a vitamin E(VE) group. Mice in these groups were administrated with normal saline, different doses of CS suspension, or VE suspension via gavage daily. After 60 days of treatment with D-gal and various drugs, all mice were euthanized, and blood and heart tissue samples were collected for determination of the indicators related to heart aging and injury in mice. Experimental results showed that both high and low doses of CS and VE ameliorated the aging phenotype, improved the heart index and myocardial enzyme spectrum, restored the expression levels of proteins associated with cell cycle arrest and senescence-associated secretory phenotypes(SASP), and alleviated the fibrosis and histopathological changes of the heart tissue in model mice. From the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),259 active ingredients of CS were retrieved. From Gene Cards and OMIM, 2 568 targets related to heart aging were identified, and 133common targets shared by CS and heart aging were obtained. The Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes( KEGG) pathway enrichment revealed that the pathways related to heart aging involved oxidative stress,apoptosis, inflammation-related signaling pathways, etc. The animal experiment results showed that both high and low doses of CS and VE ameliorated oxidative stress and apoptosis in the heart tissue to varying degrees in model mice. Additionally, CS-H and VE activated the nuclear factor E2-related factor 2(Nrf2)/heme oxygenase-1(HO-1) pathway and inhibited the expression of key proteins in the nuclear factor-κB(NF-κB) pathway in the heart tissue of model mice. In conclusion, this study demonstrated based on network pharmacology and animal experiments that CS may alleviate heart aging and injury in aging mice by reducing oxidative stress,apoptosis, and inflammation in the heart via the Nrf2/HO-1/NF-κB pathway.
Animals ; Cordyceps/chemistry* ; Mice ; NF-E2-Related Factor 2/genetics* ; NF-kappa B/genetics* ; Aging/genetics* ; Male ; Signal Transduction/drug effects* ; Network Pharmacology ; Drugs, Chinese Herbal/pharmacology* ; Heme Oxygenase-1/genetics* ; Heart/drug effects* ; Humans ; Myocardium/metabolism* ; Membrane Proteins/genetics*

Lung cancer is one of the most common and deadliest cancers globally, with its incidence and mortality rates rising each year. Therefore, finding new, safe, and effective alternative therapies poses a significant research challenge in this field. Programmed cell death refers to the process by which cells actively self-destruct in response to specific stimuli, regulated by genetic mechanisms. Modern research indicates that dysregulation of programmed cell death is widespread in the occurrence and progression of lung cancer, allowing cancer cells to evade death while continuing to proliferate and metastasize. Thus, inducing the death of lung cancer cells can be considered a novel therapeutic strategy for treating the disease. In recent years, research on traditional Chinese medicine(TCM) in the field of oncology has gained widespread attention, becoming a focal point. An increasing number of studies have demonstrated that TCM can inhibit the progression of lung cancer and exert anti-cancer effects by inducing apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis. This paper provided a comprehensive review of the molecular mechanisms of programmed cell death in lung cancer, along with the potential mechanisms and research advancements related to the regulation of these processes by TCM, so as to establish a theoretical foundation and direction for future basic and clinical research on lung cancer.
Humans ; Lung Neoplasms/pathology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Apoptosis/drug effects* ; Animals ; Autophagy/drug effects*