Antibiotic adjuvants offer a promising strategy for restoring antibiotic sensitivity, expanding antibacterial spectra, and reducing required dosages. Previously, compound 15 was identified as a potential adjuvant for Polymyxin B (PB) against multidrug-resistant (MDR) Pseudomonas aeruginosa DK2; however, its clinical utility was hindered by high cytotoxicity, uncertain in vivo efficacy, and an unclear synergetic mechanism. To address these challenges, we synthesized and evaluated a series of novel benzamide derivatives, with A22 emerging as a particularly promising candidate. A22 demonstrated potent synergistic activity to PB, minimal cytotoxicity, improved water solubility, and broad-spectrum synergism of polymyxins against various clinically isolated MDR Gram-negative strains. In vivo studies using Caenorhabditis elegans and mouse models further confirmed the efficacy of A22. Moreover, A22 effectively suppressed the development of PB resistance in Pseudomonas aeruginosa DK2. Mechanistic investigations revealed that A22 enhances polymyxins activity by inducing reactive oxygen species production, reducing ATP levels, increasing NOX activity, and inhibiting biofilm formation, leading to bacterial death. These findings position A22 as a highly promising candidate for the development of polymyxin adjuvants, offering a robust approach to combating MDR Gram-negative bacterial infections.

Objective: To analyze the association of 24 h activity behaviors and physical health of primary school students, so as to provide a reference for promoting the physical health of children and adolescents. Methods: From May to June, 2023, by stratified random sampling method, 583 primary school students aged 7-12 were selected from Tianjin for physical health examination. ActiGraph GT3X+ was used to measure their 24 h activity behaviors for 7 d, and their mental health and 24 h activity behaviors were analyzed by gender and grade. LASSO regression was applied for assessing the impact of 24 h activity on their health. Results: The compliance rate of seated forward bending (93.12%) were higher in boys than girls (91.86%), and the differences were statistically significant ( χ 2=4.53, P <0.05). Sleep time ( β =0.06), light intensity physical activity (LPA) time ( β =0.11), and moderate to vigorous physical activity (MVPA) time ( β =0.14) were positively correlated with physical fitness, whereas sedentary behavior (SB) time ( β =-0.08) were negatively correlated with physical fitness, and MVPA time had a positive effect on physical health of children and adolescents, followed by LPA time; while sleep time also had a positive effect , and SB time had a negative effect ( P <0.05). Conclusions Primary school students are generally faced with low physical activity level and high SB time, and MVPA and LPA have a significant impact on physical health. Therefore, it is crucial to develop personalized and differentiated physical activity promotion policies and interventions for primary school students with different classmates and gender.

BACKGROUND:Sarcopenia refers to age-related progressive,systemic muscle mass reduction and/or muscle strength decline or muscle physiological function decline,which is related to the occurrence of a variety of adverse outcomes in older adults.Exercise is considered to be one of the main strategies for combating sarcopenia in older adults,but there is a lack of specific intervention methods of different exercise patterns to intervene in sarcopenia. OBJECTIVE:To elaborate the main influencing factors of sarcopenia and the research progress of different exercise methods to improve sarcopenia in older adults,providing reference and basis for combating sarcopenia in older adults. METHODS:Web of Science,PubMed,CNKI,VIP,WanFang databases were retrieved for relevant literature published from January 2000 to October 2023 using the keywords of"sarcopenia,sport,exercise intervention,resistant training,aerobic exercise,whole body vibration training,mixed training,physical performance,muscle strength,muscle mass"in Chinese and English,respectively.A total of 126 articles were included for review. RESULTS AND CONCLUSION:Resistance exercise is still the most effective way to prevent and treat senile sarcopenia,and the effect of high-intensity resistance exercise is more significant.However,in practical application,we should pay attention to the gradual increase of training load intensity.Aerobic exercise combined with resistance exercise is more effective to improve muscle mass and function in the elderly than a single exercise mode.It is suggested that older adults can carry out the transition of low-intensity aerobic exercise in the early stage and increase resistance exercise individually in the late stage.Whole body vibration training is a new treatment method for the prevention and treatment of senile sarcopenia,but particular attention should be paid to the effects of frequency,amplitude,and duration on patients during practical application.Multicomponent exercise combines different exercise modes,which can give full play to their respective advantages,so as to personalize exercise interventions.

ObjectiveTo analyze the epidemiological features of foodborne disease outbreaks in Shanghai and to find the risk factors. MethodsWe collected the data of foodborne disease outbreaks occurred in Shanghai between 2010 and 2020， analyzed the characteristics of outbreaks， including time and geographic distribution， pathogenic factors and possible reasons caused outbreaks. ResultsBetween 2010 and 2020， there were 108 foodborne disease outbreaks with 1 736 cases， 45 inpatient cases and 1 death. May to September was the epidemic period， with about 64.81% of the outbreak occurrence. 39.81% outbreaks occurred in Pudong， Songjiang and Chongming Districts. Most outbreaks occurred in small restaurants （25%） and most foodborne cases were in staff canteen outbreaks （27.53%）. The main possible reasons caused outbreaks were improper food storage （19.44%）， cross-contamination （14.81%） and improper cooking （12.04%）. The major pathogenic factor was biological， caused 75.92% outbreaks and 77.59% cases. Methanol poisoning caused 1 death. The main contaminated food caused outbreaks was meat （17.59%）， multiple food （12.04%） and aquatic products （11.11%）. ConclusionThe foodborne disease outbreaks in Shanghai caused inpatient cases and death. We should pay more attention to foodborne disease outbreaks and we can control the risk factors by strengthening supervision and carrying out health education to reduce foodborne disease outbreaks.

Objective:To investigate the changes of plasma high density lipoprotein cholesterol (HDL-C) and metabolic indicators in obese patients after laparoscopic sleeve gastrectomy (LSG).Methods:The retrospective cohort study was conducted. The clinical data of 69 obese patients who were admitted to the Tenth People′s Hospital of Tongji University from August 2013 to March 2017 were collected. There were 32 males and 37 females, aged (33±12)years, with a range from 18 to 65 years. Of 69 patients, 44 patients with preoperative HDL-C concentration <1.04 mmoL/L were allocated as low HDL-C group, and 25 patients with preoperative HDL-C concentration ≥1.04 mmoL/L were allocated as normal HDL-C group. Sixty-nine patients underwent LSG. Observation indicators: (1) analysis between preoperative HDL-C and clinical indicators; (2) follow-up; (3) stratified analysis of plasma HDL-C. Follow-up was conducted using outpatient examination and hospitalization review to detect changes of plasma HDL-C, insulin resistance index, uric acid, free fatty acids and body mass every 3 months after operation up to September 2017. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M ( P25, P75), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Pearson correlation coefficient was used to analyze measurement data with normal distribution, and Spearman correlation was used to analyze measurement data with skewed distribution. Repeated measurement data were analyzed by ANOVA. Results:(1) Analysis between preoperative HDL-C and clinical indicators: results of correlation analysis showed that the preoperative plasma HDL-C concentration was negative correlated with the body mass, height, abdominal circumference, insulin resistance index and triglyceride in 69 patients ( r=-0.246, -0.307, -0.262, -0.253, -0.301, P<0.05), and the preoperative plasma HDL-C concentration was not correlated with the age, body mass index (BMI), fasting blood glucose, glycosylated hemoglobin, alanine aminotransferase, aspartate aminotransferase, gamma glutamyltransferase, uric acid, creatinine, free fatty acid, fasting serum insulin, total cholesterol and low density lipoprotein cholesterol ( P>0.05). The preoperative plasma HDL-C concentration was still negative correlated with the body mass in 69 patients after adjusting for age, BMI, fasting blood glucose, glycosylated hemoglobin, fasting serum insulin and insulin resistance index ( r=-0.277, P<0.05). (2) Follow-up: 69 patients were followed up postoperatively for 6 months (6 months, 12 months). The plasma HDL-C concentration, insulin resistance index, uric acid, free fatty acids, body mass of low HDL-C group at postoperative 3 and 6 months were (0.96±0.18)mmol/L, 2.20(0.51, 11.66), (411±93)μmol/L, 0.57 mmol/L (0.20 mmol/L, 1.00 mmol/L), (92±18)kg and (1.11±0.18)mmol/L, 2.19(0.71, 8.75), (389±100)μmol/L, 0.40 mmol/L(0.13 mmol/L, 1.10 mmol/L), (86±17)kg, respectively. The above indicators of normal HDL-C group at postoperative 3 and 6 months were (1.17±0.24)mmol/L, 2.22(0.24, 7.04), (379±105)μmol/L, 0.60 mmol/L(0.27 mmol/L, 1.10 mmol/L), (84±16)kg and (1.34±0.20)mmol/L, 1.60(0.36, 5.56), (359±92)μmol/L, 0.42 mmol/L (0.16 mmol/L, 2.90 mmol/L), (80±18)kg, respectively. There was significant difference in the changes of postoperative plasma HDL-C concentration between the two groups ( F=41.443, P<0.05), and there was interaction between groups and time points ( F=6.252, P<0.05). There was significant difference between different time points ( F=29.900, P<0.05). There was significant difference in the changes of postoperative insulin resistance index between the two groups ( F=4.313, P<0.05), and there was no interaction between groups and time points ( F=2.298, P>0.05). There was significant difference between different time points ( F=29.800, P<0.05). There was no significant difference in the changes of postoperative uric acid between the two groups ( F=1.669, P>0.05), and there was no interaction between groups and time points ( F=0.111, P>0.05). There was significant difference between different time points ( F=12.796, P<0.05). There was significant difference in the changes of postoperative free fatty acids between the two groups ( F=5.465, P<0.05), and there was no interaction between groups and time points ( F=0.504, P>0.05). There was no significant difference between different time points ( F=1.405, P>0.05). There was significant difference in the changes of postoperative body mass between the two groups ( F=5.614, P<0.05), and there was no interaction between groupsand time points ( F=2.174, P>0.05). There was significant difference between different time points ( F=497.496, P<0.05). (3) Stratified analysis of plasma HDL-C. ① Changes of postoperative plasma HDL-C in obese patients of different genders: of 69 patients, the plasma HDL-C concentration of the 32 male patients before operation and at postoperative 3 and 6 months were (0.91±0.19)mmol/L, (1.02±0.24)mmol/L, (1.18±0.23)mmol/L, respectively, and the percentage increase of plasma HDL-C concentration at postoperative 3 and 6 months were 12.00%(4.00%, 12.00%)and 20.00%(12.00%, 39.25%), respectively. The above indicators of the 37 female patients were (1.05±0.21)mmol/L, (1.06±0.22)mmol/L, (1.22±0.22)mmol/L and 0(-9.50%, 8.25%), 12.00%(2.00%, 23.00%), respectively. There was significant difference in the changes of percentage increase of plasma HDL-C concentration between the male and female patients ( F= 6.716, P<0.05), and there was interaction between groups and time points ( F=3.861, P<0.05). There was significant difference between different time points ( F=37.374, P<0.05). ② Changes of postoperative plasma HDL-C in obese patients of different genders in low HDL-C group and normal HDL-C group: of 44 patients in low HDL-C group, the plasma HDL-C concentration of the 24 male patients before operation and at postoperative 3 and 6 months were (0.82±0.12)mmol/L, (0.99±0.21)mmol/L, (1.12±0.22)mmol/L, respectively, and the percentage increase of plasma HDL-C concentration at postoperative 3 and 6 months were 16.00%(-1.75%, 28.75%) and 27.50%(15.75%, 43.50%), respectively. The above indicators of the 20 female patients in low HDL-C group were (0.89±0.08)mmol/L, (0.93±0.14)mmol/L, (1.10±0.14)mmol/L and 1.50%(-8.25%, 16.50%), 18.00%(9.00%, 23.00%), respectively. There was significant difference in the changes of percentage increase of plasma HDL-C concentration between the male and female patients ( F=4.503, P<0.05), and there was interaction between groups and time points ( F=3.594, P<0.05). There was significant difference between different time points ( F=37.096, P<0.05). Of 25 patients in normal HDL-C group, the plasma HDL-C concentration of the 8 male patients before operation and at postoperative 3 and 6 months were (1.15±0.12)mmol/L, (1.12±0.32)mmol/L, (1.32±0.21)mmol/L, respectively, and the percentage increase of plasma HDL-C concentration at postoperative 3 and 6 months were -1.00%(-14.00%, 12.00%), 13.50%(6.75%, 32.50%), respectively. The above indicators of the 17 female patients in normal HDL-C group were (1.23±0.16)mmol/L, (1.20±0.20)mmol/L, (1.36±0.20)mmol/L and 0(-13.75%, 4.25%), 5.50%(0, 28.50%), respectively. There was no significant difference in the changes of percentage increase of plasma HDL-C concentration between the male and female patients ( F=0.209, P>0.05), and there was no interaction between groups and time points ( F=0.176, P>0.05). There was significant difference between different time points ( F=6.481, P<0.05). Conclusions:For patients with low or normal plasma HDL-C concentration preoperative, there are significant differences in the changes of HDL-C, insulin resistance index, free fatty acids and body mass after LSG. There is significant difference in the changes of postoperative percentage increase of plasma HDL-C concentration between male and female patients who with low plasma HDL-C concentration preoperative.

Objective: To investigate the molecular characterization of adult diarrhea cases caused by enterotoxic Escherichia coli (ETEC) and explore the practical model of epidemiology for laboratory technique and data needs based on the surveillance network. Methods: Epidemiological design and sampling targeted adult cases ETEC caused diarrhea in epidemic season. The enterotoxin type, serogroup, resistance, colonization factor and molecular type of ETEC were identified. Multiple dynamic phenotypic characteristics of ETEC were indicated by multidimensional and multivariable data. Results: From 2016 to 2018, 84 eligible ETEC strains were detected. The dominant serums/toxins were O∶6 (STh), O∶25 (LT), O∶159 (STh), O∶153 (STh). O∶6 (STh+CS21), which replaced O∶25 and O∶159 as the popular clones in 2018. Six cases of O∶153 (STh+CFA/I+CS8+PT34) in outbreak in 2017 were imported ones. The resistance rates of ETEC strains detected in adults to sulfasoxazole, naproxinic acid, ampicillin and azithromycin were more than 30%, multidrug resistance (MDR) reached 58.3%. Serum/toxin types suggested that attenuated strains were more likely to become MDR. Molecular typing confirmed that the genetic similarity of the dominant clone of O∶6 serogroup (PT20-24) was higher than O∶25 and O∶159. There was a high correlation between the minimal inhibitory concentration (MIC) of azithromycin and the resistant gene mphA (87.5%, 28/32). O∶6 (STh+CS21+mphA) resistant clone was first detected in 2016. Conclusion A new epidemic clone in adult ETEC diarrhea cases in Shanghai was O∶6 (STh+CS21+mphA). For the first time the association between azithromycin resistance gene mphA and a serum group of ETEC was observed. Multidimensional and multivariate analysis techniques based on epidemiology can help reveal the potential transmission pattern of ETEC for the accurate surveillance and early warning of outbreaks.

OBJECTIVETo investigate the effect of laparoscopic sleeve gastrectomy(LSG) on sex hormone in male patients with severe obesity.

METHODSRetrospective analysis was performed in 31 male patient with severe obese [body mass index(BMI) ≥28 kg/m, obesity group] who underwent LSG in Shanghai Tenth People's Hospital of Tongji University from December 2012 to May 2016. The anthropometric parameters(weight, BMI, waist circumference, hip circumference, waist-hip ratio, body fat percentage), glucose metabolic indices [fasting plasma glucose(FPG), fasting insulin (FINS), glycosylated hemoglobin (HbA1c), homeostasis model assessment-insulin resistance index(HOMA-IR)], and sex hormone parameters [estradiol(E2), total testosterone (TT), follicle-stimulating hormone (FSH) and luteinizing hormone (LH)] were collected preoperatively and 1, 3, 6 months postoperatively. In addition, 31 healthy male volunteers with normal BMI were consecutively recruited in this study as control group. The above-mentioned parameters were also determined in control group. Changes of these variables before and after surgery were analyzed. Pearson method was used to analyze the correlation of TT with anthropometric parameters and glucose metabolic indices before and after surgery.

RESULTSThe average age of patients in obesity and control group was (32.9±9.7) (18 to 56) years and (30.7±8.9) (18 to 49) years. Compared to the control group, obesity group had significantly higher anthropometric parameters and glucose metabolic indices before surgery (all P<0.05). In obesity group, the anthropometric and glucose metabolic indices significantly decreased at 1 to 6 months after surgery compared to those before surgery (all P<0.05). At 1 month after surgery, the anthropometric parameters and glucose metabolic indices in obesity group were significantly higher than those in control group (all P<0.05). At 3, and 6 months after surgery, there were no significant differences in glucose metabolic indices between obesity and control group (all P>0.05), while the anthropometric parameters in obesity group were still significantly higher than those in control group(all P<0.05). The sex hormone parameters in control and obesity group before surgery were as follows: E2: (100.2±23.5) pmol/L and (129.2±81.9) pmol/L; TT: (18.0±4.9) nmol/L and (8.4±4.5) nmol/L; FSH: (4.5±3.1) IU/L and (4.3±2.5) IU/L; LH: (4.4±1.7) IU/L and (5.3±2.6) IU/L. Compared to control group, the TT level of obese patients before surgery significantly decreased(P=0.000), while no significant differences were observed in the levels of E2, FSH, and LH(all P>0.05). The TT levels were significantly increased at 1, 3, 6 months after surgery[(13.1±7.0), (13.6±5.7), (21.0±19.3) nmol/L, respectively, all P<0.05] and the E2 level was significantly decreased at 6 months after surgery [(91.4±44.9) pmol/L, P<0.05], while no significant differences were observed at 1 and 3 months after surgery (all P>0.05). Furthermore, the FSH and LH levels did not exhibit significant change at 1, 3, and 6 months after surgery compared to those before surgery (all P>0.05). At 1 month after surgery, no significant correlations were examined in the change value of TT levels (▹TT) with the changes of BMI(▹BMI), FPG(▹FPG), FINS(▹FINS), HOMA-IR(▹HOMA-IR), and E2(▹E2) (all P>0.05). At 3 months after surgery, ▹TT was negatively correlated with ▹BMI (r=-0.441, P=0.015), ▹FINS (r=-0.375, P=0.041), and ▹HOMA-IR(r=-0.397, P=0.030), but not correlated with ▹FPG and ▹E2 (all P>0.05). At 6 months after surgery, ▹TT was negatively correlated with ▹BMI(r=-0.510, P=0.018) and ▹HOMA-IR (r=-0.435, P=0.049), but not correlated with ▹FPG, ▹FINS and ▹E2 (all P>0.05).

CONCLUSIONSMale severe obese patients are accompanied with abnormal sex hormone levels. LSG has a significant effect on weight loss and blood glucose improvement, and may ameliorate the sex hormone unbalance by improving the insulin resistance in men with severe obesity.

Adult ; Bariatric Surgery ; Blood Glucose ; physiology ; Body Mass Index ; Body Weights and Measures ; China ; Estradiol ; blood ; physiology ; Fasting ; blood ; Follicle Stimulating Hormone ; blood ; physiology ; Follow-Up Studies ; Gastrectomy ; Glycated Hemoglobin A ; physiology ; Humans ; Insulin ; blood ; physiology ; Insulin Resistance ; physiology ; Luteinizing Hormone ; blood ; physiology ; Male ; Obesity, Morbid ; surgery ; Retrospective Studies ; Testosterone ; blood ; physiology ; Treatment Outcome ; Weight Loss ; physiology

Objective To explore the change in nutritional status of perioperative gastrointestinal cancer patients. Methods The nutritional status of 207 gastrointestinal cancer patients who were to undergo elective radical surgery was evaluated by SGA within 48h of admission and 7 days after operation. The investigation results went through analysis. Results Body weight was significantly decreased 7 days after operation compared with 48h of admission, the prevalence of malnutrition 7 days after operation was higher than 48h of admission; weight loss, change of food intake and decreased functional activity were the related factors of change in nutritional status of perioperative gastrointestinal cancer patients. Conclusions There was a decreased nutritional status among perioperative gastrointestinal cancer patients, and appropriate nutrition intervention program and treatment should be taken to improve clinical outcomes according to the risk factors.