Objective:To evaluate the value of a combined model based on primary lesion 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT radiomics for predicting lymph node metastasis in non-small cell lung cancer (NSCLC) . Methods:A retrospective analysis was conducted on the clinical data of 203 NSCLC patients who underwent pre-treatment PET/CT imaging at Nanjing Drum Tower Hospital from June 2013 to July 2023. Patients were randomly assigned to the training set ( n=142) and the validation set ( n=61) at a ratio of 7∶3. A predictive model was developed in the training set, and its predictive performance and clinical application value were assessed in both the training and validation sets. Traditional PET/CT parameters and PET/CT radiomics features of the primary lesion were obtained by 3D-slicer software. Least absolute shrinkage and selection operator (LASSO), random forest, and extreme gradient boosting were performed to extract features. Support vector machine was used to construct a radiomics score (Radscore). Univariate and multivariate logistic regression analysis was used to predict the influencing factors of lymph node metastasis in NSCLC patients and to establish models. Predictive performance of the models was evaluated by receiver operator characteristic (ROC) curves and clinical application value was assessed by calibration curves and decision curve analysis (DCA) . Results:Among 203 NSCLC patients, 116 had lymph node metastasis, with 64 cases in the training set and 52 cases in the validation set. Three complementary classical machine learning methods were used for feature screening, and finally 10 radiomics features were obtained. The optimal threshold for Radscore-PET was 0.43 and the optimal threshold for Radscore-CT was 0.39. Univariate analysis showed that, sex ( OR=0.48, 95% CI: 0.24-0.95, P=0.036), tumor marker levels ( OR=3.81, 95% CI: 1.84-7.91, P<0.001), long diameter of tumor ( OR=2.56, 95% CI: 1.27-5.16, P=0.009), short diameter of tumor ( OR=3.73, 95% CI: 1.75-7.92, P=0.001), vacuolar sign ( OR=0.32, 95% CI: 0.12-0.86, P=0.024), ring-like metabolism ( OR=3.67, 95% CI: 1.33-10.13, P=0.012), maximum standardized uptake value (SUV max) ( OR=6.57, 95% CI: 3.03-14.25, P<0.001), metabolic tumor volume (MTV) ( OR=2.91, 95% CI: 1.43-5.92, P=0.003), total lesion glycolysis (TLG) ( OR=4.23, 95% CI: 2.08-8.59, P<0.001), Radscore-PET ( OR=21.93, 95% CI: 9.04-53.20, P<0.001) and Radscore-CT ( OR=13.72, 95% CI: 6.12-30.76, P<0.001) were all influencing factors for predicting lymph node metastasis in NSCLC patients. Multivariate analysis showed that, tumor marker levels ( OR=2.55, 95% CI: 1.11-5.90, P=0.028), vacuolar sign ( OR=0.26, 95% CI: 0.08-0.83, P=0.023), SUV max ( OR=5.94, 95% CI: 1.99-17.75, P=0.001), Radscore-PET ( OR=25.51, 95% CI: 5.92-110.22, P<0.001), and Radscore-CT ( OR=8.68, 95% CI: 2.73-27.61, P<0.001) were independent influencing factors for predicting lymph node metastasis in patients with NSCLC. Based on the above independent influencing factors, models were constructed: the traditional model (tumor marker levels, vacuolar sign, SUV max), the PET model (SUV max, Radscore-PET), the CT model (vacuolar sign, Radscore-CT), and the combined model (tumor marker levels, vacuolar sign, SUV max, Radscore-PET, Radscore-CT). ROC curve analysis showed that, the area under curve (AUC) of the traditional, PET, CT, and combined models in the training set were 0.75 (95% CI: 0.67-0.82), 0.90 (95% CI: 0.84-0.95), 0.85 (95% CI: 0.78-0.90), and 0.94 (95% CI: 0.88-0.97), respectively. The predictive value of the combined model was higher than that of the traditional model ( Z=5.01, P<0.001), the PET model ( Z=1.99, P=0.047), and the CT model ( Z=3.25, P=0.001). In the validation set, the AUCs for the traditional model, PET model, CT model, and combined model were 0.65 (95% CI: 0.52-0.77), 0.86 (95% CI: 0.74-0.93), 0.85 (95% CI: 0.73-0.93), and 0.90 (95% CI: 0.80-0.96), respectively. The predictive value of the combined model was superior to that of the traditional model ( Z=3.23, P=0.001). The sensitivity and specificity of the combined model in the training set were 84.37% and 91.03%, while in the validation set, the sensitivity and specificity were 82.61% and 94.74%, respectively. Calibration curves showed a good agreement between the predicted and actual probabilities in both the training and validation sets. DCA showed that the combined models had good discriminative ability in both the training and validation sets. Conclusions:Tumor marker levels, vacuolar sign, SUV max, Radscore-PET, and Radscore-CT are all independent influencing factors for predicting lymph node metastasis in patients with NSCLC. The combined model based on these factors demonstrates excellent predictive performance and clinical application value for predicting lymph node metastasis in NSCLC.

OBJECTIVE To explore the effects of levosimendan on cardiac function， hemodynamics and prognosis of patients with septic shock complicated with myocardial depression， and evaluate the safety of levosimendan. METHODS Patients with septic shock complicated with myocardial depression who were admitted to the Department of Critical Care Medicine of Chongqing University Three Gorges Hospital from April 2021 to August 2023， underwent adequate fluid resuscitation， had a mean arterial pressure （MAP） ≥65 mmHg， and received pulse indicator continuous cardiac output （PiCCO） monitoring were enrolled. The patients were randomly divided into dobutamine group and levosimendan group according to a random number table， with 20 patients in each group. Both groups received intravenous infusion of Norepinephrine bitartrate injection at a dose of 0.1-2.0 μg/（kg·min）. On this basis， the dobutamine group additionally received intravenous infusion of Dobutamine hydrochloride injection at a dose of 5- 10 μg/（kg·min） for 3 to 7 days， while the levosimendan group additionally received intravenous infusion of Levosimendan injection at a dose of 0.1-0.2 μg/（kg·min） for 24 hours. Heart rate （HR） and hemodynamic parameters [systolic blood pressure， diastolic blood pressure， MAP， central venous pressure （CVP）]， PiCCO monitoring parameters [cardiac function index （CFI）， cardiac index （CI）， stroke volume index （SVI）， extravascular lung water index， global end-diastolic volume index， pulmonary vascular permeability index （PVPI）， global ejection fraction （GEF）， systemic vascular resistance index， left ventricular contractility index]， and prognosis indicators [death within 3 days after administration， mechanical ventilation time，intensive care unit （ICU） stay time， 28-day mortality rate] were compared between the two groups before treatment and at 24 and 72 hours after treatment. Adverse reactions were E-mail：recorded for both groups. RESULTS Compared with before treatment in the same group， CFI， CI and GEF at 24 hours after treatment， CI and GEF at 72 hours after treatment in the dobutamine group， as well as SVI at 24 hours after treatment and SVI and GEF at 72 hours after treatment in the levosimendan group were significantly increased； PVPI at 72 hours after treatment in the dobutamine group was significantly decreased （P＜0.05）. Compared with the dobutamine group during the same period， patients in the levosimendan group had significantly lower HR and significantly higher CVP at 24 hours after treatment （P＜0.05）. Within 3 days after administration， there were no deaths in either group； there were no statistically significant differences in mechanical ventilation time， ICU stay time， 28-day mortality rate， or the incidence of adverse reactions between the two groups （P＞0.05）. CONCLUSIONS For patients with septic shock complicated with myocardial depression who have undergone adequate fluid resuscitation and have a MAP of ≥65 mmHg， levosimendan is comparable to dobutamine in improving cardiac function and hemodynamic parameters， without affecting patients’ prognosis or increasing the risk of adverse reactions such as hypotension.

Objective:To explore the effects of embodied emotion priming on attentional bias of individuals with depression tendency.Methods:From June to December 2018, a total of 91 college students with depression tendency were recruited to participate in the experiment.A 3(embodied emotion priming: positive priming, negative priming and no priming) × 2 (emotional face: happy and sad) mixed design was adopted to measure the attentional bias of individuals with depression tendency using the dot probe paradigm. SPSS 22.0 statistical software was used for repeated measurement analysis of variance.Results:In terms of attentional bias, the interaction effect between embodied emotion priming types and emotional faces was significant ( F(2, 88)=5.97, P=0.004, ηp2=0.119). Further simple effect analysis showed that, under the happy-face condition, participants' attentional bias reaction time(△RT) was significantly higher when primed with embodied positive emotion than those primed with embodied negative emotion((14.30±18.23)ms, (-6.53±38.17)ms, P<0.05). The participants' attentional bias △RT was significantly lower when primed with embodied negative emotion than participants with no priming ((-6.53±38.17)ms, (9.16±30.62)ms, P<0.05). Under the sad-face condition, the participants' attentional bias △RT was significantly higher when primed with embodied negative emotion((28.22±35.33)ms) than participants primed with embodied positive emotion((11.71±29.24)ms, P<0.05) and no priming ((7.63±30.60)ms, P<0.05). Conclusion:Embodied emotion priming can affect the attentional bias of individuals with depression tendency.

Objective:To explore the prognostic value of 18F-FDG PET-based radiomics features by machine learning in older patients(≥60 years) with diffuse large B-cell lymphoma (DLBCL). Methods:A total of 166 older patients (88 males, 78 females, age: 60-93 years) with DLBCL who underwent pre-therapy 18F-FDG PET/CT from March 2011 to November 2019 were enrolled in the retrospective study. There were 115 patients in training cohort and 51 patients in validation cohort. The lesions in PET images were manually drawn and the obtained radiomics features from patients in training cohort were selected by the least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (Xgboost), and then classified by support vector machine (SVM) to build radiomics signatures (RS) for predicting overall survival (OS). A multi-parameter model was constructed by using Cox proportional hazard model and assessed by concordance index (C-index). Results:A total of 1 421 PET radiomics features were extracted and 10 features were selected to build RS. The univariate Cox regression analysis showed that RS was a predictor of OS (hazard ratio ( HR)=5.685, 95% CI: 2.955-10.939; P<0.001). The multi-parameter model that incorporated RS, metabolic metrics, and clinical risk factors, exhibited significant prognostic superiority over the clinical model, PET-based model, and the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) in terms of OS (training cohort: C-index: 0.752 vs 0.737 vs 0.739 vs 0.688; validation cohort: C-index: 0.845 vs 0.798 vs 0.844 vs 0.775). Conclusions:RS can be used as a survival predictor for older patients(≥60 years) with DLBCL. Furthermore, the multi-parameter model incorporating RS is able to successfully predict prognosis.

Glycosite-specific antibody‒drug conjugatess (gsADCs), harnessing Asn297 N-glycan of IgG Fc as the conjugation site for drug payloads, usually require multi-step glycoengineering with two or more enzymes, which limits the substrate diversification and complicates the preparation process. Herein, we report a series of novel disaccharide-based substrates, which reprogram the IgG glycoengineering to one-step synthesis of gsADCs, catalyzed by an endo-N-acetylglucosaminidase (ENGase) of Endo-S2. IgG glycoengineering via ENGases usually has two steps: deglycosylation by wild-type (WT) ENGases and transglycosylation by mutated ENGases. But in the current method, we have found that disaccharide LacNAc oxazoline can be efficiently assembled onto IgG by WT Endo-S2 without hydrolysis of the product, which enables the one-step glycoengineering directly from native antibodies. Further studies on substrate specificity revealed that this approach has excellent tolerance on various modification of 6-Gal motif of LacNAc. Within 1 h, one-step synthesis of gsADC was achieved using the LacNAc-toxin substrates including structures free of bioorthogonal groups. These gsADCs demonstrated good homogeneity, buffer stability, in vitro and in vivo anti-tumor activity. This work presents a novel strategy using LacNAc-based substrates to reprogram the multi-step IgG glycoengineering to a one-step manner for highly efficient synthesis of gsADCs.

Objective:Based on the high-throughput detection technique of multiplex PCR combined with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, constructing the characteristic SNP profiles of different strains, and establishing a rapid, accurate and highly sensitive method for the diagnosis of bloodstream infection pathogens.Methods:Seven kinds of pathogens such as common Escherichia coli were selected as target. The multiple PCR reaction conditions was optimized, and the characteristic peaks of each target bacteria were detected by MALDI-TOF MS to establish the joint detect system. Common primer pairs and central homo-sequence primer pairs were designed to analyse the formation of primer dimer. Using simulated bacterial infection blood samples with detection system to determine specificity and sensitivity. One hundred and fifty blood samples from suspected bacteremia patients were collected from June to September 2020 in a hospital in Beijing, and the identification results were compared to traditional identification method of clinical application that are using χ 2 test. Results:The cycle threshold (Ct) value of the central homo-sequence primers that were designed were more than 38, with a delay of 6-10 cycles. The joint mass spectrometry detection system could detect seven kinds of bacteria divided into two groups at the same time. The target bacteria can be detected specific product of the peak, and the clinical strains other than the target strains only had primer peaks. All maps had non-specific miscellaneous peaks. The sensitivity of Escherichia coli could reach 50 CFU/ml, and the detection limit of other bacteria was 100 CFU/ml. The detection results of 150 patients showed that 46 cases were positive by traditional method. The positive rate was 30.67% (46/150), including two cases of mixed infection. Forty-eight cases were positive by mass spectrometry, and the positive rate was 32.0% (48/150), including three cases of mixed infections. The negative coincidence rate was 100% (101/101). The comparison of the two methods showed that the P=0.625>0.01, the Kappa=0.938, the sensitivity and specificity was 97.82%(45/46) and 97.11%(101/104), respectively. There was no significant difference between the two methods, and the results of nucleic acid mass spectrometry could also be used in clinic. Conclusions:The established detection system can not only quickly and accurately detect seven common pathogens causing bloodstream infection, and effectively shorten the time needed for traditional culture and identification, but also can detect multiple bacterial mixed infections at the same time to make up for the possibility of missed detection. Besides, the method can also be used to identify other bacteria.

Objective To purify the anti-T cell immunoglobulin mucin ( TIM)-3 monoclonal antibody 4E8 and examine its biological function in vitro. Methods The mouse monoclonal antibody against human TIM-3, clone 4E8, was obtained by standard protocol for monoclonal antibody purification. The cell lines expressing human TIM-3 molecule were obtained by cell transfection technique. We ex-amined the ability of 4E8 binding to human TIM-3 by flow cytometry. The ability of 4E8 blocking the binding of fusion protein TIM-3 Ig-huFc with phosphatidylserine( PtdSer) , the apoptotic cell surface TIM-3 ligand, was also analyzed by flow cytometry. Mixed lympho-cyte reaction ( MLR) and ELISA assays were used to determine the effect of TIM-3 monoclonal antibody ( 4E8) on IFN-γsecretion in CD4+ T cells. Results 4E8 specifically bound to human TIM-3 but could not block the binding of TIM-3 to Ptdser. Compared with the negative control (IFN-γ secretion: 958.3±153.2), 4E8 enhanced the ability of CD4+ T cells to secrete IFN-γ in MLR (4E8 of 10μg/mL group:IFN-γ secretion 2563±150.3 and 4E8 of 3.33 μg/mL group:IFN-γ secretion 1981±211.5) with statistically signifi-cant difference ( P<0.05) . In addition, the combined application of 4E8 with the anti-programmed death-1 ( PD-1) monoclonal anti-body nivolumab showed synergistic effects for increasing IFN-γ secretion in MLR assay ( 4E8 of 10 μg/mL group: IFN-γ secretion 3049±80.5 and 4E8 of 0.33μg/mL group:IFN-γsecretion 1957±321.3) as compared with 4E8 alone (10μg /mL group:IFN-γse-cretion 2563±150.3 and 0.33 μg/mL group:IFN-γ secretion 844±76.2) with statistically significant difference (P<0.05). Conclu-sion We successfully obtained a 4E8 clone of monoclonal antibody to human TIM-3 which may enhance the capacity of IFN-γsecre-tion from CD4+ T cells. The effect of enhancing IFN-γ secretion of CD4+T cells by TIM-3 monoclonal antibody was independent from blocking the binding of TIM-3 with Ptdser.

Objective: To investigate the genetic characteristics of human adenovirus (AdV) among infants with diarrhea in Chaoyang district, Beijing from 2011 to 2017. Methods: Adenovirus positive stool samples were collected from 2011 to 2017 in Chaoyang District of Beijing. The hexon region genes of human adenovirus were sequenced. Multi-sequence alignments were performed and phylogenetic tree was constructed by Mega software. Results: A total of 64 samples were sequenced and analyzed. The ratio of male to female was 11∶5. The mean age was 1.56 years. Among them, AdV41 accounted for 70.31%, followed by AdV31 (26.25%), AdV40 (4.69%), AdV1 (3.13%), AdV5 (3.13%), AdV6 (3.13%), AdV7 (3.13%), AdV2 (1.56%), AdV3 (1.56%), AdV4 (1.56%) and AdV61 (1.56%). Conclusions Human adenovirus may play an important role in viral diarrhea in Chaoyang district from 2011 to 2017. The current adenovirus epidemic is complex and AdV41 was the dominant strain in this region.

Objective: To examine the sex differences in the dark triad and its association with relationship satisfaction. Methods: Totally 490 participants from institutions and corporations were assessed by Mach-Ⅳ, Levenson Self-Report Psychopathy Scale (LSRP), Narcissistic Personality Inventory (NPI), Relationship Assessment Scale (RAS) and Big Five Inventory (BFI-20). Statistical analysis was performed by correlation analysis, t test and hierarchical regression analysis. Results: The scores of Relationship Assessment and dark triad were shown as follows: relationship assessment (27.63±5.09), Machiavellism (53.52±8.02), psychopathy (38.45±7.52), narcissistic (18.41±7.27). Men scored higher than women in dark triad (t_{Machiavellism}=3.226, t_Psychopathy=3.070, t_Narcissistic=2.900, all P<0.01). There were significant correlations between machiavellism and psychopathy, and also between psychopathy and narcissistic(r=-0.170-0.572). Linear regression showed that Machiavellism and psychopathy were consistent negatively associated with relationship satisfaction for both men and women (b_{Machiavellism-men}=-0.104, t_{Machiavellism-men}=-2.352, b_{Psychopathy-men}=-0.131, t_{Psychopathy-men}=-2.739, b_{Machiavellism-women}=-0.121, t_{Machiavellism-women}=-2.662; b_{Psychopathy-women}=-0.106, t_{Psychopathy-women}=-2.189, all P<0.05). However, there was no significant difference in narcissism between male and female. Conclusion For the dark triad, there are obviously sex differences and its association with relationship satisfaction are partly confirmed.

Objective To investigate the association between single nucleotide polymorphism (SNPs) (rs1053005 and rs744166) and expression level of STAT3 gene and the susceptibility to acute lymphoblastic leukemia (ALL) in Chinese children.Methods A case-control study was performed,and 184 children with ALL and 377 healthy children as controls were recruited.The genotypes of 2 SNPs were detected by using polymerase chain reaction-restriction fragment length polymorphism method.And the expression level of STAT3 gene was detected by using real-time PCR;All the data were analyzed by using SPSS 16.0 software.Results (1) In this study,the genotypes (GG,AG,AA) of rs1053005 had a significant difference between the ALL group and control group (x2 =6.737,P =0.034).Compared with control group,the A allele had a higher frequency in ALL group and A allele was a risk factor(x2 =5.853,P =0.016).But,there was no difference in frequency of genotype rs744166 between the 2 groups (x2 =1.866,P =0.393).(2) There was no significant association between genotypes and risk degree among 3 groups (high risk group,medial risk group and standard risk group) (x2 =0.335,P =0.987).(3) The expression level of STAT3 gene in patients with AA genotype was lower than that of the patients with GG genotype (t =4.758,P =0.009);and compared with patients of the standard risk group,high risk patients had a lower expression level of STAT3 gene (t =5.284,P =0.007).Conclusions The polymorphism of SNP rs1053005 was associated with ALL,with A allele being a risk factor;and the expression level of STAT3 gene maybe associated with the risk degree in ALL patients.