Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective To observe MRI manifestations of temporomandibular joint(TMJ)involvement of juvenile idiopathic arthritis(JIA).Methods Sixteen children with JIA who underwent MR examination of TMJ were retrospectively enrolled.Clinical data were collected,MRI manifestations of inflammation domain and damage domain of TMJ were observed,and evaluation based on JIA MRI scoring system for TMJ(JAMRIS-TMJ)was performed.Results Among 16 children with JIA,14 exhibited symptoms associated with TMJ involvement.One or multiple abnormal MRI manifestations were noticed in 25(25/32,78.13％)TMJ,including bone marrow edema in 12(12/32,37.50％),effusion in 8(8/32,25.00％)and synovial thickening in 6(6/32,18.75％),condylar flattening in 10(10/32,31.25％),bone erosion in 6(6/32,18.75％)and articular disc abnormalities in 2(2/32,6.25％)TMJ,while no obvious abnormality was observed in 7(7/32,21.88％)TMJ.Among 4 JIA children who underwent enhanced MR scanning,enhanced bone marrow was found in 2(2/8,25.00％),while synovial enhancement was observed in 4(4/8,50.00％)TMJ.According to JAMRIS-TMJ scoring,for inflammation domain,there were 7(7/32,21.88％)normal TMJ,17(17/32,53.13％)mild and 8(8/32,25.00％)moderate/severe inflammation TMJ,while for damage domain,there were 12(12/32,37.50％)normal TMJ,14(14/32,43.75％)mild and 6(6/32,18.75％)moderate/severe damage TMJ.Conclusion MRI manifestations of TMJ involvement of JIA mainly included bone marrow edema,joint effusion,condylar flattening and so on.

IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.

IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.

Objective To observe MRI manifestations of temporomandibular joint(TMJ)involvement of juvenile idiopathic arthritis(JIA).Methods Sixteen children with JIA who underwent MR examination of TMJ were retrospectively enrolled.Clinical data were collected,MRI manifestations of inflammation domain and damage domain of TMJ were observed,and evaluation based on JIA MRI scoring system for TMJ(JAMRIS-TMJ)was performed.Results Among 16 children with JIA,14 exhibited symptoms associated with TMJ involvement.One or multiple abnormal MRI manifestations were noticed in 25(25/32,78.13％)TMJ,including bone marrow edema in 12(12/32,37.50％),effusion in 8(8/32,25.00％)and synovial thickening in 6(6/32,18.75％),condylar flattening in 10(10/32,31.25％),bone erosion in 6(6/32,18.75％)and articular disc abnormalities in 2(2/32,6.25％)TMJ,while no obvious abnormality was observed in 7(7/32,21.88％)TMJ.Among 4 JIA children who underwent enhanced MR scanning,enhanced bone marrow was found in 2(2/8,25.00％),while synovial enhancement was observed in 4(4/8,50.00％)TMJ.According to JAMRIS-TMJ scoring,for inflammation domain,there were 7(7/32,21.88％)normal TMJ,17(17/32,53.13％)mild and 8(8/32,25.00％)moderate/severe inflammation TMJ,while for damage domain,there were 12(12/32,37.50％)normal TMJ,14(14/32,43.75％)mild and 6(6/32,18.75％)moderate/severe damage TMJ.Conclusion MRI manifestations of TMJ involvement of JIA mainly included bone marrow edema,joint effusion,condylar flattening and so on.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

OBJECTIVE To explore the protective effect of marein against alcoholic fatty liver （AFL） and its potential mechanisms. METHODS AFL mice model was established with strong wine by gavage. The mice were randomly divided into normal control group （n＝9， 0.5% sodium carboxymethyl cellulose solution）， model group （n＝10， 0.5% sodium carboxymethyl cellulose solution） and marein 75 and 150 mg/kg groups （n＝9）. Mice were given relevant medicine intragastrically， once a day， for consecutive 30 days. After the last medication， the levels of triglyceride （TG）， malondialdehyde （MDA）， and superoxide dismutase （SOD） in liver tissue were determined， and hepatic histopathological changes of liver tissue were observed； the protein expression levels of peroxisome proliferator-activated receptor α （PPARα）， carnitine palmitoyltransferase-1 （CPT-1）， and diacylglycerol acyltransferase （DGAT） were determined in liver tissue. BRL hepatocytes injury model was induced by ethanol combined with ferrous sulfate and oleic acid； after treatment with 3， 6 and 12 μmol/L of marein for 24 h， the distribution of lipid droplets， the levels of TG， MDA and SOD and protein expressions of PPARα， CPT-1 and DGAT in hepatocytes were examined. After pretreatment with MK886 （PPARα inhibitor， 10 μmol/L），modeled hepatocytes were treated with 12 μmol/L of marein for 24 h， and the protein expressions of PPARα， CPT-1 and DGAT were determined. RESULTS As the results showed in vivo， compared with the model group， after treatment with 75 and 150 mg/kg of marein， the degree of steatosis was significantly reduced， and the levels of TG and MDA and protein expression of DGAT were significantly decreased（P＜0.05 or P＜0.01）； the levels of SOD， protein expressions of PPARα and CPT-1 were significantly increased（P＜0.05 or P＜0.01）. As the results showed in vitro， after treatment with 3， 6 and 12 μmol/L of marein， the lipid accumulation of hepatocytes was significantly inhibited， and the levels of TG and MDA， protein expression of DGAT were significantly decreased（P＜0.05 or P＜0.01）， while the levels of SOD， protein expressions of PPARα and CPT-1 were significantly increased（P＜0.05 or P＜0.01）. After MK886 pretreatment， the effects of marein on the above protein expressions were abolished. CONCLUSIONS Marein might exert a protective effect against AFL. The mechanisms might be related to inhibiting oxidative stress-mediated injury and improving PPARα-mediated lipid metabolism signaling pathway.

Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.

Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.

Objective:To investigate the application value of a multi-dimensional digital moni-toring platform for perioperative period in gastric cancer patients.Methods:The retrospective cohort study was conducted. The clinical data of 50 patients who underwent laparoscopic radical gastrec-tomy in The Affiliated Hospital of Nanjing University of Chinese Medicine from July 2022 to January 2024 were collected. There were 35 males and 15 females, aged (64±12)years. All patients followed the concept of enhanced recovery after surgery, and the multi-dimensional digital monitoring platform based on wearable monitoring equipment was used to implement perioperative management measures. Observation indicators: (1) results of heart rate variability (HRV) monitoring; (2) results of blood glucose and blood oxygen monitoring; (3) results of exercise and sleep monitoring; (4) results of body composition monitoring. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(IQR). Repeated measurement data were analyzed using the repeated ANOVA. Measurement data with skewed distri-bution were transformed to normal distribution by SPSS transformation function before testing. For comparison between pre- and postoperation, paired sample t test was used for measurement data with normal distribution, and nonparametric Wilcoxon signed rank sum test was used for measure-ment data with skewed distribution. Results:(1) Results of HRV monitoring. From preoperation to the third day after surgery, the standard deviation normal to normal heart beat of 50 patients was changed from(103±26)ms to(101±36)ms, the mean of the standard deviations of normal to normal heart beat calculated per 5 min segment was changed from (45±16)ms to(33±12)ms, the number of pairs of adjacent NN intervals differing by more than 50 ms in the entire recording was changed from 6.02%(4.96%) to 5.79%(4.20%), the low frequency power was changed from 376.78(468.96)ms 2 to 742.79(525.20)ms 2, the high frequency power was changed from 273.61(273.58)ms 2 to 397.48(164.87)ms 2, the ratio of low frequency power to high frequency power was changed from 1.6±0.5 to 1.6±0.6, showing significant differences in above indicators before and after operation ( F=34.43, 26.15, 24.58, 5.51, 6.11, 6.02, P<0.05). (2) Results of blood glucose and blood oxygen monitoring. From preoperation to the third day after surgery, the blood glucose of 50 patients was changed from 6.75(2.05)mmol/L to 6.90(2.63)mmol/L, showng a significant difference before and after operation ( F=45.84, P<0.05). The blood oxygen was changed from 97.00%(5.00%) to 97.50%(3.00%), showing no significant difference before and after operation ( F=2.25, P>0.05). (3) Results of exercise and sleep monitoring. From preoperation to the third day after surgery, the number of steps fo 50 pati-ents was changed from 3 043(1 224) to 1 473(767), sleep duration was changed from(8.2±1.1)hours to(7.3±0.8)hours, sleep score was changed from 80±10 to 78±5,showing significant differences in above indicators before and after operation ( F=716.46, 29.02, 47.32, P<0.05).(4) Results of body composition monitoring. The body weight of 50 patients was changed from (63±8)kg to(61±8)kg before and after operation, body fat rate was changed from 24%±8% to 22%±9%, muscle mass was changed from 43 (12)kg to 41(17)kg, body mass index was changed from (23.0±2.6)kg/m 2 to(22.1±2.5)kg/m 2, showing significant differences in above indicators before and after operation ( t=8.19, 3.00, Z=-2.78, t=7.34, P<0.05), while there was no significant difference in basal metabolic indicators from (1 390±134)kcal to (1 379±139)kcal before and after operation ( t=1.02, P>0.05). Conclusion:The multi-dimensional digital monitoring platform for preoperative period can accurately monitor the perioperative stress level and evaluate the postoperative recovery of gastric cancer patients, which can present the visual results.