Nonalcoholic fatty liver disease （NAFLD） is one of the most prevalent chronic liver diseases in the world， affecting about one quarter of the global population， and it is estimated that NAFLD will become the main indication for liver transplantation by 2030. NAFLD can lead to significant abnormalities in the levels of a variety of amino acids including branched-chain amino acids， thereby promoting the development and progression of NAFLD. These results suggest that in addition to glucose and lipid metabolism， amino acid metabolism also plays an important role in the progression of NAFLD. In order to systematically understand the role and mechanism of amino acid metabolism in NAFLD， this article reviews the research advances in amino acid metabolism in NAFLD. This article aims to explore the role and mechanism of amino acid metabolism in the progression of NAFLD， so as to provide ideas and a theoretical basis for clinical prevention and treatment.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objective:To investigate serum levels of retinol-binding protein 4(RBP4)and cystatin C(CysC)in pa-tients with coronary heart disease(CHD)and their association with intestinal flora.Methods:A total of 97 CHD patients admitted in our Department of Critical Care Medicine from December 2019 to December 2020 were treated as CHD group,another 99 healthy subjects undergoing physical examination simultaneously were regarded as control group.Serum levels of RBP4 and CysC,positive rates and number of intestinal flora were compared between two groups.With serum mean levels of RBP4 and CysC in CHD patients as critical value,they were divided into serum RBP4 high level group(RBP4≥35.97 ng/ml,n=53)and low level group(RBP4＜35.97 ng/ml,n=44),serum CysC high level group(CysC≥ 1.49 ng/ml,n=49)and low level group(CysC＜1.49 ng/ml,n=48).Number of intestinal flora were compared between different level subgroups,and Pearson method was used to analyze the asso-ciation of RBP4,CysC levels with flora number.Results:Compared with control group,there were significant rise in RBP4 and CysC levels,and significant reductions in culture positive rates and flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus(P＜0.001 all),and significant rise in culture positive rates and flora numbers of Staphylococcus and Escherichia coli in CHD group(P＜0.001 all).Compared with RBP4 low level group,there were significant reductions in flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus,and signifi-cant rise in flora numbers of Staphylococcus and Escherichia coli in RBP4 high level group(P＜0.001 all);com-pared with CysC low level group,there were significant reductions in flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus,and significant rise in flora numbers of Staphylococcus and Escherichia coli in CysC high level group(P＜0.001 all).Pearson correlation analysis indicated that RBP4 level was significant inversely correla-ted with flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus(r=-0.626～-0.482,P＜0.001 all),and significant positively correlated with flora numbers of Staphylococcus and Escherichia coli(r=0.302,0.337,P＜0.01 both);CysC level was significant inversely correlated with flora numbers of Bifidobacteri-um,Firmicutes,Lactobacillus and Proteus(r=-0.621～-0.502,P＜0.001 all),and significant positively corre-lated with flora numbers of Staphylococcus and Escherichia coli(r=0.308,0.340,P＜0.01 both).Conclusion:Se-rum levels of RBP4 and CysC increase in CHD patients,and they are closely related to the composition of intestinal flora.

AIM To study the chemical constituents from Codonopsis pilosula(Franch.)Nannf in Shanxi and their anti-inflammatory activities.METHODS The 70％ ethanol extract from C.pilosula in Shanxi was isolated and purified by silica gel,ODS and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their in vitro anti-inflammatory activities were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as ethylsyringin(1),7-O-ethyltangshenoside Ⅱ(2),triandrin(3),trans-isoconiferin(4),methylsyringin(5),9-acetoxy syringin(6),cordifolioidyne B(7),codonopiloenynenoside A(8),codonopilodiynoside F(9),pratialin B(10),lobetyolinin(11),lariciresinol-4-O-β-D-glucoside(12),dihydrodehydrodiconiferyl alcohol 4′-O-β-D-glucoside(13),atractylenolid Ⅲ(14),baimantuoluoamide B(15),benzyl primeveroside(16).Compounds 1-2,5,7-11 and 13-15 had certain anti-inflammatory activities,among which compounds 11,14-15 had higher activities,whose IC50 values were(18.23±4.18),(17.73±3.12),(14.89±2.47)μmol/L,respectively.CONCLUSION Compounds 3,6,13,16 are first isolated from Campanulaceae,2,5,15 are first found from this plant.Compounds 11,14 and 15 have good anti-inflammatory activities.

Objective:To investigate the changes of the distribution and drug resistance profile of bacteria from ICU children with lower respiratory tract infection (LRTI) in Suzhou City, Jiangsu Province from 2017 to 2022.Methods:From January 2017 to December 2022, a cross-sectional observational study on the bacterial spectrum analysis among intensive care unit (ICU) children with LRTI was conducted in Children′s Hospital of Soochow University. The bacteria was cultivated by culture methods from sputum samples, and identified by MALDI-TOF mass spectrometry. Drug sensitivity tests were performed by the VITEK2 Compact fully automated analysis system and the paper slide method. The χ2 test or Fisher′s exact probability was used to analyze the changes of the distribution of sputum culture-positive bacteria and drug resistance in ICU children. Results:The overall detection rate of sputum culture was 42.06% (1 182/2 810). Staphylococcus aureus (25.63%,303/1 182), Acinetobacter baumannii (13.62%,161/1 182) and Haemaphilus influenzae (13.28%,157/1 182) were the top three. Proportions of Acinetobacter baumannii (17.90% vs. 11.02%, χ2=11.17, P=0.001), especially carbapenem-resistant Acinetobacter baumannii (43.70% vs. 23.50%, χ2=15.21, P<0.001) increased significantly from 2020 to 2022. However, the proportions of Haemophilus influenzae (8.50% vs. 16.19%, χ2=14.27, P<0.001), Streptococcus pneumoniae (8.50% vs. 15.92%, χ2=13.42, P<0.001) and extended-spectrum-lactamase producing Escherichia coli (8.89% vs. 18.00%, χ2=5.45, P=0.025) decreased. Drug resistant results showed that Acinetobacter baumannii was obviously more resistant to imipenem ( χ2=4.43, P=0.035) and levofloxacin ( χ2=12.53, P<0.001), while more sensitive to minocycline ( χ2=8.34, P=0.004). Escherichia coli showed a significant increase in resistance to piperacillin tazobactam ( χ2=8.29, P=0.008) and cefoperazone sulbactam ( χ2=5.07, P=0.024) from 2020 to 2022; Klebsiella pneumoniae consistently maintained a resistance rate of more than 60% to first and second-generation cephalosporins, and remain susceptible to quinolones and carbapenems. Staphylococcus aureus remained highly susceptible to levofloxacin (drug resistance rate: 2.31%,7/303) and sulfamethoxazole/trimethoprim (drug resistance rate: 4.95%,15/303) from 2020 to 2022. Conclusion:Higher detection and resistance rates of Acinetobacter baumannii from sputum culture in ICU children from 2020 to 2022 were explored. Resistance of Escherichia coli to β-lactamase inhibitor combinations was more serious. Regular monitoring the changes of the etiology of respiratory tract infections in ICU Children is particularly important for the prevention and treatment of multidrug-resistant bacterial infections.

Objective:To investigate the changes of the distribution and drug resistance profile of bacteria from ICU children with lower respiratory tract infection (LRTI) in Suzhou City, Jiangsu Province from 2017 to 2022.Methods:From January 2017 to December 2022, a cross-sectional observational study on the bacterial spectrum analysis among intensive care unit (ICU) children with LRTI was conducted in Children′s Hospital of Soochow University. The bacteria was cultivated by culture methods from sputum samples, and identified by MALDI-TOF mass spectrometry. Drug sensitivity tests were performed by the VITEK2 Compact fully automated analysis system and the paper slide method. The χ2 test or Fisher′s exact probability was used to analyze the changes of the distribution of sputum culture-positive bacteria and drug resistance in ICU children. Results:The overall detection rate of sputum culture was 42.06% (1 182/2 810). Staphylococcus aureus (25.63%,303/1 182), Acinetobacter baumannii (13.62%,161/1 182) and Haemaphilus influenzae (13.28%,157/1 182) were the top three. Proportions of Acinetobacter baumannii (17.90% vs. 11.02%, χ2=11.17, P=0.001), especially carbapenem-resistant Acinetobacter baumannii (43.70% vs. 23.50%, χ2=15.21, P<0.001) increased significantly from 2020 to 2022. However, the proportions of Haemophilus influenzae (8.50% vs. 16.19%, χ2=14.27, P<0.001), Streptococcus pneumoniae (8.50% vs. 15.92%, χ2=13.42, P<0.001) and extended-spectrum-lactamase producing Escherichia coli (8.89% vs. 18.00%, χ2=5.45, P=0.025) decreased. Drug resistant results showed that Acinetobacter baumannii was obviously more resistant to imipenem ( χ2=4.43, P=0.035) and levofloxacin ( χ2=12.53, P<0.001), while more sensitive to minocycline ( χ2=8.34, P=0.004). Escherichia coli showed a significant increase in resistance to piperacillin tazobactam ( χ2=8.29, P=0.008) and cefoperazone sulbactam ( χ2=5.07, P=0.024) from 2020 to 2022; Klebsiella pneumoniae consistently maintained a resistance rate of more than 60% to first and second-generation cephalosporins, and remain susceptible to quinolones and carbapenems. Staphylococcus aureus remained highly susceptible to levofloxacin (drug resistance rate: 2.31%,7/303) and sulfamethoxazole/trimethoprim (drug resistance rate: 4.95%,15/303) from 2020 to 2022. Conclusion:Higher detection and resistance rates of Acinetobacter baumannii from sputum culture in ICU children from 2020 to 2022 were explored. Resistance of Escherichia coli to β-lactamase inhibitor combinations was more serious. Regular monitoring the changes of the etiology of respiratory tract infections in ICU Children is particularly important for the prevention and treatment of multidrug-resistant bacterial infections.

Objective:To investigate the knowledge of Sixth Chinese national consensus report on the management of Helicobacter pylori infection ( treatment excluded) (hereinafter referred to as sixth national consensus) and 2022 Chinese national clinical practice guideline on Helicobacter pylori eradication treatment (hereinafter referred to as the guideline)among medical staff from general hospitals in Hainan. Methods:From February 20 to May 7, 2023, a questionnaire survey on the diagnosis and treatment of Helicobacter pylori ( H. pylori) infection was conducted among 1 463 medical staff from 15 general hospitals in Hainan Province. The questionnaire was drawn up according to the sixth national consensus and the guideline, covering knowledge of 6 sections, induding H. pylori related diseases, detection of H. pylori, eradication, prevention and influence factors of eradication of H. pylori, etc. Chi-square test was used for statistical analysis. Results:A total of 1 463 valid questionnaires were collected with the effective responsive rate of 100.00%.The 1 463 subjects included 225 gastroenterologists and 1 238 other medical staff(including 503 physicians from other departments, 264 surgeons and 471 medical technologists and pharmacists). About 78.67%(177/225)of gastroenterologists agreed that the overall infection rate of H. pylori in China was more than 20%, the awareness rate was higher than that of other medical staff (physicians from other departments 65.41%(329/503), surgeons 61.74%(163/264), medical technologists and pharmacists 60.30%(284/471); the following datas were sorted by this position), and the difference was statistically significant ( χ2=30.97, P<0.001). About 51.11%(115/225) of gastroenterologists considered that H. pylori serological antibody test could not be used as a diagnostic method for current infection, the awareness rate was higher than that of other medical staff(22.07%(111/503), 14.02%(37/264), 12.31%(58/471)), and the difference was statistically significant( χ2 =152.66, P<0.001). Proton pump inhibitor and potassium-competitive acid blocker should be discontinued for 2 weeks, and antibiotics and bismuth should be discontinued for 4 weeks before urea breath test, and the awareness rates of gastroenterologists were higher than those of other medical staff (38.67%(87/225) vs. 23.26%(117/503), 19.70%(52/264), 18.47%(87/471); 60.89%(137/225) vs. 26.64%(134/503), 25.76%(68/264), 23.78%(112/471)), and the differences were statistically significant ( χ2 =133.70 and 165.51, both P<0.001). For refractory H. pylori infection, 98.67%(222/225)of gastroenterologists agreed with the individualized diagnosis and treatment of H. pylori infection should be guided by bacterial culture, antibiotic susceptibility test or drug resistance gene test, and the awareness rate was higher than that of other medical staff (91.85%(462/503), 93.56%(247/264), 93.21%(439/471)), and the difference was statistically significant( χ2=20.55, P=0.002). About 70.67% (159/225) of gastroenterologists recommended a bismuth containing quadruple regimen, 80.44% (181/225) supported a 10 to 14 day H. pylori eradication course, and the awareness rates were higher than other medical staff (46.92%(236/503), 33.33%(88/264), 32.91%(155/471); 67.20%(338/503), 59.09%(156/264), 53.93%(254/471)), and the differences were statistically significant ( χ2=111.25 and 59.99, both P<0.001). The understanding rates of the sixth national consensus and the guideline in gastroenterologists was 85.33% (192/225), which was higher than that of other medical staff (64.21%(323/503), 66.67%(176/264), 57.96%(273/471)), and the difference was statistically significant ( χ2=85.47, P<0.001). Conclusions:Gastroenterologists from general hospitals in Hainan Province have a better understanding of the sixth national consensus and the guideline than other medical staff. However, there is still a lack of deep understanding of the sixth national consensus and the guideline, and it is necessary to further strengthen the learning and application of the sixth national consensus and the guideline.

INTRODUCTION: Countries are mandating the use of face masks to stem the spread of coronavirus disease 2019 (COVID-19). Face mask use has been associated with discomfort due to its effects on thermoregulation, breathing and oxygenation. We evaluated the prevalence and severity of self-reported cardiovascular symptoms before and during face mask use. METHODS: This was a cross-sectional study of 1,001 participants residing in Singapore, who participated in a self-administered questionnaire between 25 April 2020 and 4 May 2020. Symptom severity before and during mask use, and health-seeking behaviour information were collected. The study outcome was self-reported worsening of cardiovascular symptoms and its association with the type of mask worn, duration of mask worn per day, and intensity of physical activities during mask use. RESULTS: The most common symptom reported during mask use was dyspnoea. Independent predictors for self-reported cardiovascular symptoms during mask use were moderate-high physical activity during mask use (odds ratio [OR] 1.634, 95% confidence interval [CI] 1.176-2.270, P = 0.003), duration of mask use for ≥3 h (OR 1.672, 95% CI 1.189-2.352, P = 0.003) and type of mask used, after adjusting for age, sex, healthcare-based worker status and presence of comorbidities. N95 mask was associated with worse symptoms when compared to surgical mask. Participants with ≥3 worsening symptoms or worsening dyspnoea, palpitations, fatigue and dizziness were more likely to seek medical help. CONCLUSION Face mask use has been proven to be an effective way in curbing COVID-19 transmission. However, participants in this study had concerns regarding its use and these concerns should be urgently addressed to enable mask use policies to be enacted.
Humans ; COVID-19/epidemiology* ; Pandemics ; Masks/adverse effects* ; Self Report ; Cross-Sectional Studies ; Dyspnea/etiology*

Deficiencies in the clearance of peripheral amyloid β (Aβ) play a crucial role in the progression of Alzheimer's disease (AD). Previous studies have shown that the ability of blood monocytes to phagocytose Aβ is decreased in AD. However, the exact mechanism of Aβ clearance dysfunction in AD monocytes remains unclear. In the present study, we found that blood monocytes in AD mice exhibited decreases in energy metabolism, which was accompanied by cellular senescence, a senescence-associated secretory phenotype, and dysfunctional phagocytosis of Aβ. Improving energy metabolism rejuvenated monocytes and enhanced their ability to phagocytose Aβ in vivo and in vitro. Moreover, enhancing blood monocyte Aβ phagocytosis by improving energy metabolism alleviated brain Aβ deposition and neuroinflammation and eventually improved cognitive function in AD mice. This study reveals a new mechanism of impaired Aβ phagocytosis in monocytes and provides evidence that restoring their energy metabolism may be a novel therapeutic strategy for AD.
Animals ; Mice ; Alzheimer Disease ; Amyloid beta-Peptides ; Monocytes ; Cognition ; Energy Metabolism ; Phagocytosis

Objective:To investigate the distribution and molecular characteristics of Yersinia isolated from diarrhea patients in Jiangsu Province. Methods:From 2017 to 2021, the stool samples of diarrhea patients were collected in Tongshan District of Xuzhou City and Dongtai City of Yancheng City, Jiangsu Province, where the national active monitoring sites of Yersinia enterocolitica, then Yersinia was isolated; meanwhile, suspected Yersinia strains were collected from sentinel hospitals in the province. The DNA of isolated strains was extracted for whole genome resequencing, and the data were uploaded to the EnteroBase database for Yersinia species identification; the original data were cleaned and processed for 16S ribosomal RNA (16S rRNA) gene polymorphism analysis. Five virulence genes (ail, ystA, ystB, yadA, virF) were scanned through the National Center for Biotechnology Information (NCBI) and Pathogen Virulence Factor Database (VFDB), and K-mer Tree was constructed and genomic characteristics were analyzed. Results:From 2017 to 2021, a total of 2 058 stool samples from diarrhea patients were collected, and 57 strains of Yersinia were isolated and identified; meanwhile, two Yersinia strains were collected from the sentinel hospital. Compared with EnteroBase database, 51 strains were identified as Yersinia enterocolitica, 4 strains as Yersinia proxima, 1 strain each as Yersinia aleksiciae, Yersinia massiliensis, Yersinia intermedia and Yersinia canariae. The 16S rRNA gene polymorphism analysis showed that all strains were clustered into 3 groups, which could distinguish Yersinia enterocolitica from other Yersinia. Among the 51 strains of Yersinia enterocolitica, 49 strains were virulence genotype Ⅲ(ail-, ystA-, ystB+, yadA-, virF-), two strains were virulence genotype Ⅱ(ail+, ystA+, ystB-, yadA-, virF-); and 8 other Yersinia strains were virulence genotype Ⅳ (ail-, ystA-, ystB-, yadA-, virF-). K-mer analysis could distinguish Yersinia enterocolitica from other Yersinia, JS-XZ-2020001 strain was far away from other Yersinia enterocolitica isolates, and serotype O8 strains were more concentrated. Conclusions:The clinical isolates of Yersinia enterocolitica from diarrhea patients are mainly Yersinia and other Yersinia co-exist in a small amount in Jiangsu Province, two new Yersinia species ( Yersinia proxima and Yersinia canariae) are discovered. The virulence genotype of Yersinia enterocolitica is mainly type Ⅲ. The 16S rRNA gene polymorphism analysis and K-mer analysis can effectively distinguish Yersinia enterocolitica from other Yersinia.