Traditional Chinese medicine （TCM） therapy has unique clinical advantages in the treatment of atrial fibrillation， mainly reflected in five aspects， improving quality of life， enabling early diagnosis and treatment， promoting cardiac rehabilitation， making up for the limitations of Western medicine， and improving the success rate of catheter ablation. However， there is insufficient evidence in current clinical research. Based on the current status of TCM research in the treatment of atrial fibrillation， it is suggested that future studies should focus on standardized research on syndrome differentiation and classification. This can be achieved through clinical epidemiological surveys， expert consensus， and other methods to establish a unified syndrome differentiation and classification standard for atrial fibrillation. Clinical efficacy evaluation indicators should be standardized， and core outcome measures for clinical research on TCM treatment of atrial fibrillation should be developed through systematic reviews， patient interviews， and other methods. Additionally， clinical research design， implementation， and data management should be improved. By leveraging modern information technologies such as artificial intelligence， the scientific and standardized nature of TCM intervention research on atrial fibrillation can be enhanced， ultimately improving the quality of research.

Objective:To construct a multi-dimensional life-cycle management(MDLM)of medical equipment based on fast Fourier transform-convolutional neural network(FFT-CNN),so as to provide data support for the life-cycle management of medical equipment and its multi-dimensional derivation.Methods:The MDLM system of medical equipment was constructed by setting display layer of comprehensive information,data extension layer of multi business,data layer of life cycle of equipment,data acquisition layer.The FFT-CNN algorithm was adopted to mapping characteristic data of operating medical equipment as business data of hospital,and then,they were derived to operational management indicators of hospital from 6 dimensions included carbon trajectory,operation and maintenance trajectory,benefit trajectory,safety trajectory,performance trajectory and assessment trajectory.The data prober of artificial internet of things(AIoT),and pattern recognition and indicator derivation of FFT-CNN were adopted to conduct comprehensively digital transformation management for life-cycle of medical equipment.The management data that MDLM system were applied in the medical equipment of Baoying People's Hospital from August 2023 to April 2024 were selected to compare the efficiency of maintaining magnetic resonance(MR)equipment of hospital before and after the system was applied.Results:The MDLM system of medical equipment realized the life-cycle management for medical equipment in eight stages included demand,procurement,installation,archiving,operation,monitoring,maintenance and scrapping,and realized the use of"the extended data of energy consumption management,operation and maintenance management,efficiency management,safety management,performance management and assessment management that derived from the indicators of 6 dimensions"in conducting routine management for medical equipment of hospital.The average repair time of the failure of MR equipment of hospital has been decreased from 6.8 hours before the system was applied to 2.3 hours after it was applied,which significantly improved the efficiency of operation and maintenance,and the availability efficiency of the equipment.Conclusion:The FFT-CNN-based MDLM system of medical equipment has established special database of life-cycle management for medical equipment,which can provide multi-dimensionally objective,complete and relevant data support for lean management for medical equipment of hospital,and can improve the efficiency of operating and maintaining equipment.

Objective:To construct a multi-dimensional life-cycle management(MDLM)of medical equipment based on fast Fourier transform-convolutional neural network(FFT-CNN),so as to provide data support for the life-cycle management of medical equipment and its multi-dimensional derivation.Methods:The MDLM system of medical equipment was constructed by setting display layer of comprehensive information,data extension layer of multi business,data layer of life cycle of equipment,data acquisition layer.The FFT-CNN algorithm was adopted to mapping characteristic data of operating medical equipment as business data of hospital,and then,they were derived to operational management indicators of hospital from 6 dimensions included carbon trajectory,operation and maintenance trajectory,benefit trajectory,safety trajectory,performance trajectory and assessment trajectory.The data prober of artificial internet of things(AIoT),and pattern recognition and indicator derivation of FFT-CNN were adopted to conduct comprehensively digital transformation management for life-cycle of medical equipment.The management data that MDLM system were applied in the medical equipment of Baoying People's Hospital from August 2023 to April 2024 were selected to compare the efficiency of maintaining magnetic resonance(MR)equipment of hospital before and after the system was applied.Results:The MDLM system of medical equipment realized the life-cycle management for medical equipment in eight stages included demand,procurement,installation,archiving,operation,monitoring,maintenance and scrapping,and realized the use of"the extended data of energy consumption management,operation and maintenance management,efficiency management,safety management,performance management and assessment management that derived from the indicators of 6 dimensions"in conducting routine management for medical equipment of hospital.The average repair time of the failure of MR equipment of hospital has been decreased from 6.8 hours before the system was applied to 2.3 hours after it was applied,which significantly improved the efficiency of operation and maintenance,and the availability efficiency of the equipment.Conclusion:The FFT-CNN-based MDLM system of medical equipment has established special database of life-cycle management for medical equipment,which can provide multi-dimensionally objective,complete and relevant data support for lean management for medical equipment of hospital,and can improve the efficiency of operating and maintaining equipment.

Objective To observe the effects of Yitangkang on brown fat thermogenesis and mitochondrial biogenesis of PGC1α-NRF1/2-TFAM pathway in db/db mice;To explore its mechanism of regulating glucose and lipid metabolism.Methods Totally 27 six-week-old db/db mice were randomly divided into model group,Yitangkang group(30 g/kg)and liraglutide group(200 μg/kg),another 9 db/m mice of the same age were set as normal group.All groups received intervention with drugs or saline for 6 weeks.The body mass and FBG were measured weekly.After intervention,oral glucose tolerance test(OGTT)was carried out,the contents of serum TC,TG,LDL-C and HDL-C were detected by biochemical analyzer,HE staining was used to observe the morphology of brown adipose tissue(BAT)in scapular region,RT-qPCR and Western blot were used to detect the expressions of UCP1,PRDM16,PGC1α related to BAT thermogenesis and NRF1,Nrf2,TFAM related to mitochondrial biogenesis.Results Compared with the normal group,the body mass,FBG,area under the curve of OGTT and serum TG,TC,LDL-C content of model group significantly increased(P<0.01),the content of HDL-C significantly decreased(P<0.01);the diameter of BAT cells in scapular region was larger,white vacuoles appeared,lipid droplets increased,and the mRNA and protein expressions of UCP1,PRDM16,PGC-1α,NRF1,NRF2 and TFAM in BAT decreased significantly(P<0.01).Compared with the model group,the body mass,FBG,area under the curve of OGTT and serum TG,TC,LDL-C contents of Yitangkang group and liraglutide group significantly decreased(P<0.01),the content of HDL-C increased(P<0.01);BAT cells were smaller in diameter,more closely arranged,more regular in shape,and more abundant in capillary,the mRNA and protein expressions of UCP1,PRDM16,PGC-1α,NRF1,NRF2 and TFAM in BAT increased significantly(P<0.01).Conclusion Yitangkang can regulate mitochondrial biogenesis through PGC1α-NRF1/2-TFAM pathway to activate brown fat in db/db mice and improve glucose and lipid metabolism in db/db mice.

The occurrence of diabetes mellitus （DM） is closely related to insulin resistance and islet β cell dysfunction. Modern studies have found that macrophages are widely present in the liver，fat，skeletal muscle，islets， and other tissues and organs. Macrophage M1/M2 polarization plays an important role in the occurrence and development of diabetes mellitus and its related complications by intervening in inflammatory response，improving insulin resistance，and promoting tissue repair. Most of the traditional Chinese medicines that regulate the activation and polarization of macrophages are Qi-replenishing and Yin-nourishing，heat-clearing， and detoxicating medicinal，which are consistent with the etiology and pathogenesis of diabetes and its related complications. Therefore，by summarizing the mechanisms between macrophage activation，polarization， and insulin resistance in various tissues，this paper reviewed traditional Chinese medicine and its effective components and compounds in improving diabetes mellitus and its related complications through multi-channel regulation of macrophage polarization and regulation of M1/M2 ratio，providing references for the future treatment of DM and its related complications with traditional Chinese medicine.

Objective:To investigate the clinical and genetic variation characteristics of a child with autosomal dominant lateral temporal lobe epilepsy caused by de novo variation of the MICAL1 gene. Methods:Clinical data of the patient with autosomal dominant lateral temporal lobe epilepsy caused by MICAL1 gene variation diagnosed in Children′s Hospital of Soochow University in August 2019 were collected. The whole exome sequencing was performed on the core members of the family, and the characteristics of gene variations were analyzed. Results:The proband, a 10 years and 5 months old boy, was admitted to the hospital because of "intermittent convulsions for 7 years". The clinical manifestations included focal or generalized tonic-clonic seizures and hearing aura, with normal language and intellectual development. No abnormalities were found in the T 1 and fluid attenuated inversion recovery sequences of the cranial 3.0 T magnetic resonance imaging and 3D thin-slice magnetic resonance imaging.Long-range video electroencephalogram showed the distribution of spinous and slow spinous waves in the left frontal and temporal areas. The results of whole exome gene sequencing in the core family members showed heterozygous de novo missense variation in the MICAL1 gene of the proband (NM_022765): c.763G>T(exon6)(p.Val255Leu) that had not been reported. According to American College of Medical Genetics and Genomics and Association for Molecular Pathology guidelines (2015), the mutation was considered potentially pathogenic. The application of antiepileptic drugs was effective in controlling epileptic seizures. Conclusions:Auditory symptoms are main clinical manifestations for the child with autosomal dominant lateral temporal lobe epilepsy. Antiepileptic drugs can effectively control epileptic seizures of the child, and the MICAL1 gene c.763G>T (p.Val255Leu) mutation is the genetic cause of the proband.

Objective To observe the effects of Yitangkang on brown fat thermogenesis and mitochondrial biogenesis of PGC1α-NRF1/2-TFAM pathway in db/db mice;To explore its mechanism of regulating glucose and lipid metabolism.Methods Totally 27 six-week-old db/db mice were randomly divided into model group,Yitangkang group(30 g/kg)and liraglutide group(200 μg/kg),another 9 db/m mice of the same age were set as normal group.All groups received intervention with drugs or saline for 6 weeks.The body mass and FBG were measured weekly.After intervention,oral glucose tolerance test(OGTT)was carried out,the contents of serum TC,TG,LDL-C and HDL-C were detected by biochemical analyzer,HE staining was used to observe the morphology of brown adipose tissue(BAT)in scapular region,RT-qPCR and Western blot were used to detect the expressions of UCP1,PRDM16,PGC1α related to BAT thermogenesis and NRF1,Nrf2,TFAM related to mitochondrial biogenesis.Results Compared with the normal group,the body mass,FBG,area under the curve of OGTT and serum TG,TC,LDL-C content of model group significantly increased(P<0.01),the content of HDL-C significantly decreased(P<0.01);the diameter of BAT cells in scapular region was larger,white vacuoles appeared,lipid droplets increased,and the mRNA and protein expressions of UCP1,PRDM16,PGC-1α,NRF1,NRF2 and TFAM in BAT decreased significantly(P<0.01).Compared with the model group,the body mass,FBG,area under the curve of OGTT and serum TG,TC,LDL-C contents of Yitangkang group and liraglutide group significantly decreased(P<0.01),the content of HDL-C increased(P<0.01);BAT cells were smaller in diameter,more closely arranged,more regular in shape,and more abundant in capillary,the mRNA and protein expressions of UCP1,PRDM16,PGC-1α,NRF1,NRF2 and TFAM in BAT increased significantly(P<0.01).Conclusion Yitangkang can regulate mitochondrial biogenesis through PGC1α-NRF1/2-TFAM pathway to activate brown fat in db/db mice and improve glucose and lipid metabolism in db/db mice.

Objective:To investigate the clinical and genetic variation characteristics of a child with autosomal dominant lateral temporal lobe epilepsy caused by de novo variation of the MICAL1 gene. Methods:Clinical data of the patient with autosomal dominant lateral temporal lobe epilepsy caused by MICAL1 gene variation diagnosed in Children′s Hospital of Soochow University in August 2019 were collected. The whole exome sequencing was performed on the core members of the family, and the characteristics of gene variations were analyzed. Results:The proband, a 10 years and 5 months old boy, was admitted to the hospital because of "intermittent convulsions for 7 years". The clinical manifestations included focal or generalized tonic-clonic seizures and hearing aura, with normal language and intellectual development. No abnormalities were found in the T 1 and fluid attenuated inversion recovery sequences of the cranial 3.0 T magnetic resonance imaging and 3D thin-slice magnetic resonance imaging.Long-range video electroencephalogram showed the distribution of spinous and slow spinous waves in the left frontal and temporal areas. The results of whole exome gene sequencing in the core family members showed heterozygous de novo missense variation in the MICAL1 gene of the proband (NM_022765): c.763G>T(exon6)(p.Val255Leu) that had not been reported. According to American College of Medical Genetics and Genomics and Association for Molecular Pathology guidelines (2015), the mutation was considered potentially pathogenic. The application of antiepileptic drugs was effective in controlling epileptic seizures. Conclusions:Auditory symptoms are main clinical manifestations for the child with autosomal dominant lateral temporal lobe epilepsy. Antiepileptic drugs can effectively control epileptic seizures of the child, and the MICAL1 gene c.763G>T (p.Val255Leu) mutation is the genetic cause of the proband.

Objective:To retrospectively analyze the bone marrow characteristics of methimazole-induced agranulocytosis and other hematologic damage, and to explore its correlation with clinical features and prognosis.Methods:The bone marrow and clinical parameters of 20 patients of Graves′ disease diagnosed with methimazole-induced agranulocytosis at the First Affiliated Hospital of Xi′an Jiaotong University from January 2000 to December 2022 were collected. The intergroup differences in bone marrow characteristics and granulocyte recovery time were analyzed. Differences in peripheral blood and bone marrow characteristics between patients with single agranulocytosis and pancytopenia were compared. Besides, literature review of the bone marrow characteristics of methimazole-induced hematologic diseases was conducted.Results:Compared to patients with bone marrow characteristics of granulocyte and precursor maturation disorders(Type Ⅱ), patients with aplastic marrow(Type Ⅰ) had significant decreases in the proportions of granulocytes in all phases( P<0.05). Patients with bone marrow characteristics of Type Ⅰ had a significant increase in the proportion of the lymphocyte system [51.00%(41.50%, 75.50%) vs 22.00%(14.00%, 35.00%), P=0.002], and got a longer to recovery time [(6.58±1.68)d vs(3.71±1.60)d, P=0.003]; Correlation analysis suggested the granulocyte to erythrocyte ratio was negatively correlated with the granulocyte recovery time( r=-0.520, P=0.023), and the proportion of the bone marrow lymphocyte was positively correlated with granulocyte recovery time( r=0.622, P=0.004). Compared to patients with single agranulocytosis, patients with pancytopenia had a markedly longer hospital stay duration [(27.14±5.27)d vs(14.15±7.36)d, P=0.001]. Literature review suggestsed that methimazole may cause various degrees of damage to blood system and bone marrow. Conclusion:Methimazole can induce a variety of hematologic damages. Analysis of bone marrow characteristics can aid in further prognosis assessment. Clinicians should be vigilant about potential hematologic adverse reactions when using methimazole and promptly diagnose and treat them to prevent serious consequences.

Objective To monitor and evaluate the synergistic antitumor effects of programmed death-1(PD-1)checkpoint inhibitor combined with radiation therapy through whole-body dynamic 18 F-Fluorodeoxy glucose positron emission computed tomography(18F-FDG PET/CT)and Patlak multi-parametric analysis.Methods B16F10 mel-anoma dual-tumor mouse model was established and randomly divided into control,PD-1 monoclonal antibody,ra-diation-only,and combination groups(n=6).Whole-body 18F-FDG PET/CT imaging was performed before and 24 hours post-treatment.The changes of maximum standardized uptake value(SUVmax)and metabolic rate of FDG(MRFDG)changes were analyzed and compared.Mice were then euthanized,tumors excised and underwent histo-pathology with HE,CD8,Ki-67 staining to assess immune infiltration and proliferation.Distal tumor volumes were monitored during treatment.Results At 24 hours post-treatment,in the primary tumors,SUVmax and MRFDG values increased compared to pre-treatment in the control group(P＜0.000 1),while they decreased in the combination treatment group(P＜0.000 1),with statistically significant differences.In the distal tumors,SUVmax and MRFDG values increased compared to pre-treatment in the control group,PD-1 monoclonal antibody group,and radiothera-py-alone group.The SUVmax differences were statistically significant in the control group before and after treatment(P＜0.000 1).MRFDG values in the distal tumors showed statistically significant differences in all three groups(P＜0.01 or P＜0.000 1).In the combination treatment group,SUVmax and MRFDG values in the distal tumors de-creased significantly compared to pre-treatment(P＜0.000 1).Post-treatment comparison of SUVmax and MRFDG values in the distal tumors showed that statistically significant differences in SUVmax and MRFDG values were observed among all groups except between the radiotherapy-alone and PD-1 monoclonal antibody groups(all P＜0.05).Im-munohistochemistry results showed that the mean absorbance value of CD8 T lymphocytes in the distal tumor was significantly higher than that in the other three groups(P＜0.001);the mean absorbance value of Ki-67 immuno-histochemistry in the distal tumor proliferation index was significantly lower than that in the other three groups(P＜0.001).Conclusion The synergistic effects of combined treatment reduced distal tumor growth.Whole-body 18F-FDG PET/CT Patlak multi-parametric imaging can monitor the synergistic effects of PD-1 antibody and radiotherapy in B16F10 melanoma,providing reliable imaging parameters for optimizing combinatorial therapies.