The rapid emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that evade immunity elicited by vaccination has posed a global challenge to the control of the coronavirus disease 2019 (COVID-19) pandemic. Therefore, developing countermeasures that broadly protect against SARS-CoV-2 and related sarbecoviruses is essential. Herein, we have developed a lipid nanoparticle (LNP)-encapsulated mRNA (mRNA-LNP) encoding the full-length Spike (S) glycoprotein of SARS-CoV-2 (termed RG001), which confers complete protection in a non-human primate model. Intramuscular immunization of two doses of RG001 in Rhesus monkey elicited robust neutralizing antibodies and cellular response against SARS-CoV-2 variants, resulting in significantly protected SARS-CoV-2-infected animals from acute lung lesions and complete inhibition of viral replication in all animals immunized with low or high doses of RG001. More importantly, the third dose of RG001 vaccination elicited effective neutralizing antibodies against current epidemic XBB and JN.1 strains and similar cellular response against SARS-CoV-2 Omicron variants (BA.1, XBB.1.16, and JN.1) were observed in immunized mice. All these results together strongly support the great potential of RG001 in preventing the infection of SARS-CoV-2 variants of concern (VOCs).

Objective:To explore the characteristics and evolutionary features of cognitive impairment and clinical transformation in early-stage Parkinson′s disease (PD) patients.Methods:Based on the cohort of patients with primary unmedicated PD admitted to the Parkinson′s Specialized Outpatient Clinic of Affiliated Brain Hospital of Nanjing Medical University from November 2018 to July 2022, follow-up was conducted for PD patients who completed the baseline assessment and had a follow-up time of 1.5 years or more, and a total of 87 patients finally completed the follow-up and were included in the study. At follow-up, the 87 patients were divided into a cognitively impaired group ( n=36) and a cognitively normal group ( n=51) according to the norm proposed by Professor Jia Jianping and colleagues in 2011 for the Chinese elderly population. Differences in baseline clinical characteristics between the 2 groups were compared, and binary Logistic regression analysis was used to explore risk factors for cognitive impairment in PD patients. In addition, transformed grouping according to cognitive assessment results at baseline and follow-up was used to compare differences in patients′ baseline clinical characteristics among the 3 groups: a reversal group [Parkinson′s disease-mild cognitive impairment (PD-MCI), reverting to Parkinson′s disease-cognitively normal (PD-CN); n=15], a non-reversal group (persistent PD-MCI; n=24), and a stable group (stable PD-CN; n=36). Results:Cognitive reversal occurred at follow-up in 36.6% (15/41) of patients with cognitive impairment at baseline, and 21.7% (10/46) of patients with normal cognition at baseline had cognitive impairment at follow-up. At the end of the follow-up, the 87 patients with PD had higher Unified Parkinson′s Disease Rating Scale Ⅱ (UPDRS-II) scores [8 (6, 11)], Unified Parkinson′s Disease Rating Scale Ⅲ (UPDRS-Ⅲ) scores [23 (16, 30)], and Hoehn-Yahr stages [2.0 (1.5, 2.5)] than those at baseline [7(4, 10), 19(14, 25), 1.5(1.0, 2.0)]. The differences were statistically significant ( Z=-2.498, P=0.012; Z=-3.039, P=0.002; Z=-4.436, P<0.001). The cognitively impaired group had lower Montreal Cognitive Assessment scores [22.00(19.00, 23.75)] and fewer years of education [9.00(8.00, 11.75) years] but higher Parkinson′s Disease Non-Motor Symptoms Questionnaire (PD-NMSQ) scores [8.00(5.25, 12.00)] than the cognitively normal group [25.00(24.00, 27.00), 12.00(9.00, 15.00) years, 6.00(3.00, 8.00)], and the differences were statistically significant ( Z=-4.764, P<0.001; Z=-3.016, P=0.003; Z=-3.281, P=0.001). Multivariate Logistic regression showed that years of education ( OR=0.829, 95%CI 0.715-0.960, P=0.012) and PD-NMSQ scores ( OR=1.200, 95%CI 1.040-1.384, P=0.012) were independent predictors of cognitive impairment in patients with PD. There were statistically significant differences among the reversal, non-reversal, and stable groups in years of education ( F=5.366, P=0.010), PD-NMSQ scores ( H=10.795, P=0.005), and UPDRS-Ⅱ scores ( H=6.957, P=0.031). Pairwise comparisons showed lower PD-NMSQ scores [4.00(3.00, 7.00) vs 8.00(6.25, 12.75); Z=-2.989, P=0.003] and lower UPDRS-Ⅱ scores [6.00(3.00, 6.00) vs 7.00(6.00, 10.00); Z=-2.756, P=0.006] in the reversal group than in the non-reversal group, indicating better baseline quality of life in cognitive reversal patients. Conclusions:Low educational level and severe non-motor symptoms were risk factors predicting cognitive impairment in PD patients. Conversely, mild non-motor symptoms with high quality of life (lower UPDRS-Ⅱ scores) were important factors for cognitive reversal.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To explore the characteristics and evolutionary features of cognitive impairment and clinical transformation in early-stage Parkinson′s disease (PD) patients.Methods:Based on the cohort of patients with primary unmedicated PD admitted to the Parkinson′s Specialized Outpatient Clinic of Affiliated Brain Hospital of Nanjing Medical University from November 2018 to July 2022, follow-up was conducted for PD patients who completed the baseline assessment and had a follow-up time of 1.5 years or more, and a total of 87 patients finally completed the follow-up and were included in the study. At follow-up, the 87 patients were divided into a cognitively impaired group ( n=36) and a cognitively normal group ( n=51) according to the norm proposed by Professor Jia Jianping and colleagues in 2011 for the Chinese elderly population. Differences in baseline clinical characteristics between the 2 groups were compared, and binary Logistic regression analysis was used to explore risk factors for cognitive impairment in PD patients. In addition, transformed grouping according to cognitive assessment results at baseline and follow-up was used to compare differences in patients′ baseline clinical characteristics among the 3 groups: a reversal group [Parkinson′s disease-mild cognitive impairment (PD-MCI), reverting to Parkinson′s disease-cognitively normal (PD-CN); n=15], a non-reversal group (persistent PD-MCI; n=24), and a stable group (stable PD-CN; n=36). Results:Cognitive reversal occurred at follow-up in 36.6% (15/41) of patients with cognitive impairment at baseline, and 21.7% (10/46) of patients with normal cognition at baseline had cognitive impairment at follow-up. At the end of the follow-up, the 87 patients with PD had higher Unified Parkinson′s Disease Rating Scale Ⅱ (UPDRS-II) scores [8 (6, 11)], Unified Parkinson′s Disease Rating Scale Ⅲ (UPDRS-Ⅲ) scores [23 (16, 30)], and Hoehn-Yahr stages [2.0 (1.5, 2.5)] than those at baseline [7(4, 10), 19(14, 25), 1.5(1.0, 2.0)]. The differences were statistically significant ( Z=-2.498, P=0.012; Z=-3.039, P=0.002; Z=-4.436, P<0.001). The cognitively impaired group had lower Montreal Cognitive Assessment scores [22.00(19.00, 23.75)] and fewer years of education [9.00(8.00, 11.75) years] but higher Parkinson′s Disease Non-Motor Symptoms Questionnaire (PD-NMSQ) scores [8.00(5.25, 12.00)] than the cognitively normal group [25.00(24.00, 27.00), 12.00(9.00, 15.00) years, 6.00(3.00, 8.00)], and the differences were statistically significant ( Z=-4.764, P<0.001; Z=-3.016, P=0.003; Z=-3.281, P=0.001). Multivariate Logistic regression showed that years of education ( OR=0.829, 95%CI 0.715-0.960, P=0.012) and PD-NMSQ scores ( OR=1.200, 95%CI 1.040-1.384, P=0.012) were independent predictors of cognitive impairment in patients with PD. There were statistically significant differences among the reversal, non-reversal, and stable groups in years of education ( F=5.366, P=0.010), PD-NMSQ scores ( H=10.795, P=0.005), and UPDRS-Ⅱ scores ( H=6.957, P=0.031). Pairwise comparisons showed lower PD-NMSQ scores [4.00(3.00, 7.00) vs 8.00(6.25, 12.75); Z=-2.989, P=0.003] and lower UPDRS-Ⅱ scores [6.00(3.00, 6.00) vs 7.00(6.00, 10.00); Z=-2.756, P=0.006] in the reversal group than in the non-reversal group, indicating better baseline quality of life in cognitive reversal patients. Conclusions:Low educational level and severe non-motor symptoms were risk factors predicting cognitive impairment in PD patients. Conversely, mild non-motor symptoms with high quality of life (lower UPDRS-Ⅱ scores) were important factors for cognitive reversal.

Objective:To compare the aortic remodeling of the Fabulous stent system and standard thoracic aortic endovascular repair (TEVAR) on distal aorta type B aortic dissection (TBAD). Methods:The prospective data collected between Dec 2017 and Oct 2019 from 134 patients with type B aortic dissection (TBAD) who underwent treatment with the "Fabulous" stent system, and retrospective data from 159 TBAD patients receiving standard TEVAR from corresponding multicenter. By using propensity score matching analysis, we compared the prognosis and aortic remodeling outcomes in patients undergoing Fabulous and standard TEVAR treatments during a 1-year postoperative follow-up.Results:In this study, 62 patients in Fabulous group and 62 patients in standard TEVAR were included.There were no significant statistical differences in baseline characteristics between the two groups. In terms of aortic remodeling in bare stent region, Fabulous group had better change trends of diameter of true lumen [10.6 (4.4, 14.5) mm vs. 4.7 (0.9, 10.7) mm, P=0.001] and false lumen [-24.2 (-30.5, -4.9) mm vs. 0.7 (-11.8, 2.3) mm, P<0.001] than those in the standard TEVAR group. The rate of complete false lumen thrombosis was also higher in the Fabulous group (62.9% vs. 37.1%, P=0.042). Conclusion:The Fabulous stent system, when compared to standard TEVAR surgery, demonstrates good aortic remodeling outcomes in the distal aorta.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Objective: To investigate the causal relationship between junior high school students aggressive behavior, physical exercise and academic performance, so as to provide a reference basis for the development of scientific exercise programs. Methods: A longitudinal followup study was conducted on 502 junior high school students over a 12month period from June 2021 to June 2022 using the Buss-Perry Aggressive Questionnaire (BPAQ), Physical Activity Questionnaire for Adolescents (PAQ-A), and test scores as the measurement tools (T1:June 2021, T2:December 2021, T3:June 2022), and a crosslagged model was constructed to measure the relationship between aggression, physical activity and academic performance. Results: At T1, physical exercise had a positive effect on academic performance at T2 (β=0.22) and a negative effect on aggressive behavior at T2 (β=-0.13), aggressive behavior negatively affected academic performance at T2 (β=-0.23), and academic performance had a negative effect on aggressive behavior at T2 (β=-0.09). Physical exercise at T2 had a negative effect on aggressive behavior at T3 (β=-0.05) and a positive effect on academic performance at T3 (β=0.19). Aggressive behavior at T2 negatively influenced academic performance at T3 (β=-0.08). Academic performance at T2 negatively influenced aggressive behavior at T3 (β=-0.06) (P<0.05). The results of crosslagged modeling of junior high school students aggressive behavior, physical exercise and academic performance showed that the model was well fitted (χ2/df=8.80, CFI=0.96, NFI=0.95, RFI=0.87, IFI=0.96, TLI=0.88, RMSEA=0.12). The results of multigroup structural equation modeling showed that the differences between the models and the baseline model (CFI=0.95, TLI=0.86, RMSEA=0.10, 90%CI=0.08-0.11, P<0.01) were not statistically significant in terms of gender (△CFI<0.05, P>0.05). Conclusions Physical exercise negatively predictes aggressive behavior and positively predictes academic performance, and academic performance and aggressive behavior negatively affect each other. A scientific exercise program should be developed to reduce aggression and effectively improve adolescents academic performance.

Humans ; Endovascular Aneurysm Repair ; Stents ; Blood Vessel Prosthesis ; Aortic Dissection/surgery* ; Endovascular Procedures ; Aortic Aneurysm, Thoracic/surgery* ; Treatment Outcome ; Blood Vessel Prosthesis Implantation ; Retrospective Studies

Objective To explore hemodynamics of the aortic arch and supraarch vessels after thoracic endovascular aortic repair with fenestration and parallel grafts techniques, and compare the differences of these techniques. Methods Four patients with aortic arch lesions whose supraarch vessels were reconstructed by different surgical techniques (fenestration, chimney and periscope) were studied, and three-dimensional (3D) geometric models were established based on postoperative image data. The physiological flow obtained from two dimensional (2D) phase contrast magnetic resonance imaging were imposed on the ascending aorta inlet and the supraarch vessels outlets. The pressure waveform of 3-element Windkessel model was imposed on the descending aorta outlet. Through computational fluid dynamics ( CFD ) simulations, the hemodynamic parameters were obtained, including the pressure of supraarch vessels, the velocity vector of the stent inlet, and the relative residence time. Results The pressure change of the periscope stent was the largest, followed by the fenestration stent, and the pressure change of the chimney stent was the smallest. The velocity of the fenestration and periscope stent inlet was uneven, which might form vortex. The velocity of the chimney stent inlet was even. The high relative residence time concentrated in distal end of the fenestration stent outer wall, the ‘gutter’ part, and the place where the chimney and periscope stent adhered to the vessel wall. Conclusions The pressure difference between the inner and outer walls of the fenestration and periscope stent was high, so it was recommended to use the balloon-expandable stent. The pressure difference between the inner and outer walls of the chimney stent was low, so it was recommended to use the self-expanding stent. The predicted location of thrombosis was consistent with the clinical follow-up data, so it may be used for surgical planning and risk assessment of interventional treatment of aortic arch lesions.