1.Establishment and evaluation of a lipopolysaccharide-induced acute respiratory distress syndrome model in minipigs
Chuang-Ye WANG ; Ran WANG ; Jian ZHANG ; Ling-Xiao QIU ; Bin QING ; Heng YOU ; Jin-Cheng LIU ; Bin WANG ; Nan-Bo WANG ; Jia-Yu LI ; Xing LIU ; Shuang WANG ; Jin HU ; Jian WEN ; Quan LI ; Xiao-Ou HUANG ; Kun ZHAO ; Shuang-Lin LIU ; Gang LIU ; Mei-Ju WANG ; Qing XIANG ; Hong-Mei WU ; Xiao-Rong SUN ; Tao GU ; Dong ZHANG ; Qi LI ; Zhi XU
Medical Journal of Chinese People's Liberation Army 2025;50(9):1154-1161
Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.
2.Evaluation of dietary quality and its influencing factors among medical students
Yi-Meng ZHANG ; Dan-Tong GU ; Hong PENG ; Shao-Jie LIU ; Ying-Nan JIA
Fudan University Journal of Medical Sciences 2024;51(4):594-601
Objective To assess the nutritional status and dietary quality of medical students and its influencing factors.Methods Students from Shanghai Medicial College of Fudan University were recruited to complete the 7-day and 24-hour dietary records,with food consumption measured by weight.A comprehensive evaluation of the students'dietary quality was carried out by comparing their actual nutrient intake against recommended levels and calculating the component score of the Chinese Healthy Eating Index(CHEI).Factor analysis was used to extract dietary patterns.All subjects were further divided into high score group and low score group based on total CHEI.Binary Logistic regression was used to determine the factors influencing dietary quality.Results The study participants had an average daily energy intake of(2 057.02±501.87)kcal/d,80%from on-campus canteen meals.Carbohydrates,proteins and fats contributed to 48.90%,16.55%and 36.07%of the total energy intake,respectively.The CHEI median score was 67.55.Component scores for tubers,vegetables,fruits,dairy,fish and seafood,and nuts were below 60%,indicating an unbalanced diet.Being in the graduate stage(OR=0.53,95%CI:0.28-0.98)and having unreasonable body weight expectations(OR=0.37,95%CI:0.17-0.81)were associated with lower CHEI scores.Conversely,higher CHEI scores were associated with the fruit-dairy dietary pattern(OR=8.20,95%CI:3.39-19.84),the tuber-vegetable dietary pattern(OR=3.41,95%CI:1.58-7.32),and lower rates of on-campus dining(OR=1.92,95%CI:1.02-3.59).Conclusion The energy intake of students at Shanghai Medical College of Fudan University appears to be adequate.However,a relatively high proportion of energy supply from fat intake indicates a need for improvement in their dietary structure.The dietary quality of students is mainly influenced by their educational level,weight expectations and dietary patterns.
3.Characteristics of gut microbiota dysbiosis in patients with infectious diarrhea
Wen-Peng GU ; Di LYU ; Xiao-Fang ZHOU ; Sen-Quan JIA ; Xiao-Nan ZHAO ; Yong ZHANG ; Yong-Ming ZHOU ; Jian-Wen YIN ; Li HUANG ; Xiao-Qing FU
Chinese Journal of Zoonoses 2024;40(5):408-414
This study investigated the characteristics of gut microbiota imbalance in patients with infectious diarrhea caused by various pathogenic infections,and the role of Bacteroides in maintaining homeostasis in the intestinal environment.The gut microbiota in patients with diarrhea caused by pathogenic infections,such as viral and bacterial infections,was determined through full-length 16S rRNA amplicon sequencing.Patients with diarrhea were grouped and analyzed according to the presence of single bacterial infection,single viral infection,mixed infection,or Clostridioides difficile infection.Bacteroides had the highest absolute number and relative abundance in the gut microbiota in healthy people,whereas patients with infectious diar-rhea showed lower relative abundance of Bacteroides at each phylum/order/family/genus taxonomic level.Alpha diversity anal-ysis indicated no significant differences among groups.NMDS and PCoA indicated formation of distinct clusters in the control group compared with the different infectious diarrhea groups.The diversity of the gut microbiota was higher in the control group than the infectious diarrhea groups.Patients with infec-tious diarrhea caused by different pathogens showed differing predominant gut microbiota.Bifidobacterium predominated in the single viral infection group,Streptococcus predominated in the single bacterial infection group,and Lachnoclostridium predominated in the mixed infection group.Escherichia and Klebsiella were the major gut microbiota in the C.difficile infection group.Meanwhile,the dominant gut microbiota in the healthy population was Bacteroides.COG function prediction revealed that the healthy control group formed a distinct cluster from the different infection groups.The functions of defense mechanisms,cell wall synthesis,protein modification,cellular differentiation,and replication and recombination were signifi-cantly diminished in all infectious diarrhea groups.In general,patients with infectious diarrhea caused by different pathogens showed dysbiosis,with diminished gut microbiota diversity and the emergence of related biomarkers.Our findings indicated that Bacteroides has a key role in maintaining the homeostasis of the human intestinal environment,thus providing new ideas for the subsequent treatment of infectious diarrhea and research in other fields.
4.Psychosocial and behavioral problems of children and adolescents across five cities in Northern China
Minjun LI ; Shaoli LI ; Feiyong JIA ; Wenli WANG ; Yunjing ZHAO ; Hanyu DONG ; Junting LIU ; Wenquan NIU ; Nan PENG ; Xia QU ; Jialu GU ; Lijun ZHOU ; Bo ZHOU ; Jianhong WANG ; Lin WANG
Chinese Journal of Preventive Medicine 2024;58(12):1967-1975
Objective:The objective of this research is to study the prevalence and risk factors of psychosocial and behavioral problems in children and adolescents of different ages and genders to provide a scientific foundation for more targeted psychological interventions and social support in the future.Methods:From April 21 to May 31, 2023, a cross-sectional survey was conducted using a stratified random sampling method in five cities (Beijing City, Changchun City, Baicheng City, Shenyang City, Hohhot City) across four provinces in Northern China (Beijing, Jilin, Liaoning, Inner Mongolia). The study was conducted using an online questionnaire among children and adolescents aged 6-16 years. Self-made social and life characteristics questionnaire and Achenbach Child Behavior Check List (CBCL) (for parent) was utilized to investigate the prevalence of psychosocial and behavioral problems and relative influencing factors. Using stepwise regression analysis to screen potential factors affecting the psychosocial and behavioral health of children and adolescents and logistic regression analysis was employed to analyze the risk factors associated while controlling for confounding variables.Results:A total of 10 492 questionnaires were distributed in this study. Among the 8 593 valid questionnaires collected, there were 4 385 males (51.03%) and 4 208 females (48.97%). The sample consisted of 3 348 children aged 6-11 years old and 5 245 children aged 12-16 years old. Out of these participants, 688 individuals (8.01%) were detected positive. In the 6-11 age group, 1 762 boys were assessed, revealing 142 positive cases (8.06%), while 1 586 girls were assessed, with 84 positive cases (5.30%). In the 12-16 age group, 2 623 boys were evaluated, resulting in 237 positive cases (9.04%), and 2 622 girls were evaluated, with 225 positive cases (8.58%). Overall, boys had a higher prevalence rate than girls did, with older age groups showing higher rates compared to younger ones. Logistic regression analysis identified six significant risk factors: parent-child conflict ( OR=4.207, 95% CI: 3.583-4.940), irregular diet patterns( OR=1.862, 95% CI: 1.566-2.213), parental mental illness history( OR=5.381, 95% CI: 2.673-10.83), sleep disorders( OR=4.664, 95% CI: 4.194-5.187), and excessive screen exposure( OR=1.863, 95% CI: 1.577-2.200) were found to be risk factors; whereas having more close friends ( OR=0.510, 95% CI: 0.431-0.603) acted as a protective factor. Conclusions:Psychosocial and behavioral problems in children and adolescents will change with social conditions, with continuous attention required to prevent risk factors. Precise intervention and integral support should be implemented by families, schools and society to provide more accurate protection for children and adolescents.
5.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
6.Psychosocial and behavioral problems of children and adolescents across five cities in Northern China
Minjun LI ; Shaoli LI ; Feiyong JIA ; Wenli WANG ; Yunjing ZHAO ; Hanyu DONG ; Junting LIU ; Wenquan NIU ; Nan PENG ; Xia QU ; Jialu GU ; Lijun ZHOU ; Bo ZHOU ; Jianhong WANG ; Lin WANG
Chinese Journal of Preventive Medicine 2024;58(12):1967-1975
Objective:The objective of this research is to study the prevalence and risk factors of psychosocial and behavioral problems in children and adolescents of different ages and genders to provide a scientific foundation for more targeted psychological interventions and social support in the future.Methods:From April 21 to May 31, 2023, a cross-sectional survey was conducted using a stratified random sampling method in five cities (Beijing City, Changchun City, Baicheng City, Shenyang City, Hohhot City) across four provinces in Northern China (Beijing, Jilin, Liaoning, Inner Mongolia). The study was conducted using an online questionnaire among children and adolescents aged 6-16 years. Self-made social and life characteristics questionnaire and Achenbach Child Behavior Check List (CBCL) (for parent) was utilized to investigate the prevalence of psychosocial and behavioral problems and relative influencing factors. Using stepwise regression analysis to screen potential factors affecting the psychosocial and behavioral health of children and adolescents and logistic regression analysis was employed to analyze the risk factors associated while controlling for confounding variables.Results:A total of 10 492 questionnaires were distributed in this study. Among the 8 593 valid questionnaires collected, there were 4 385 males (51.03%) and 4 208 females (48.97%). The sample consisted of 3 348 children aged 6-11 years old and 5 245 children aged 12-16 years old. Out of these participants, 688 individuals (8.01%) were detected positive. In the 6-11 age group, 1 762 boys were assessed, revealing 142 positive cases (8.06%), while 1 586 girls were assessed, with 84 positive cases (5.30%). In the 12-16 age group, 2 623 boys were evaluated, resulting in 237 positive cases (9.04%), and 2 622 girls were evaluated, with 225 positive cases (8.58%). Overall, boys had a higher prevalence rate than girls did, with older age groups showing higher rates compared to younger ones. Logistic regression analysis identified six significant risk factors: parent-child conflict ( OR=4.207, 95% CI: 3.583-4.940), irregular diet patterns( OR=1.862, 95% CI: 1.566-2.213), parental mental illness history( OR=5.381, 95% CI: 2.673-10.83), sleep disorders( OR=4.664, 95% CI: 4.194-5.187), and excessive screen exposure( OR=1.863, 95% CI: 1.577-2.200) were found to be risk factors; whereas having more close friends ( OR=0.510, 95% CI: 0.431-0.603) acted as a protective factor. Conclusions:Psychosocial and behavioral problems in children and adolescents will change with social conditions, with continuous attention required to prevent risk factors. Precise intervention and integral support should be implemented by families, schools and society to provide more accurate protection for children and adolescents.
7.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
8.Structural characterization of PCP-Ⅰ from Poria as vaccine adjuvant and its hydrolytic oligosaccharide.
Jia-Nan GU ; Gui-Xin LIU ; Shuai LI ; Hao MA ; Jun-Jie SHAN
China Journal of Chinese Materia Medica 2023;48(16):4429-4437
Poria is an important medical herb in clinic. The authors isolated a polysaccharide(PCP-Ⅰ) from Poria in previous studies, which is composed of galactose, mannose, fucose and glucose. PCP-Ⅰ exhibited significant adjuvant effects on H1N1 influenza vaccine, hepatitis B surface antigen and anthrax protective antigen, and its adjuvant activity was stronger than aluminium adjuvant. However, little is known about the chemical structure of PCP-Ⅰ at present. In this study, weak acid hydrolysis was used to obtain the backbone oligosaccharide of PCP-Ⅰ. Then periodate oxidation, Smith degradation, methylation analysis, Fourier transform infrared spectroscopy(FT-IR), nuclear magnetic resonance(NMR) and gas chromatography-mass spectrometry(GC-MS) were performed to investigate the chemical structural features of PCP-Ⅰ and its hydrolytic oligosaccharide(PCP-Ⅰ-hy-1). These results suggested that the backbone of PCP-Ⅰ was composed of galactose with α anomeric carbon and β anomeric carbon. The linking residues of galactan are(1→),(l→6) and(1→2,6).
Adjuvants, Vaccine
;
Poria
;
Hydrolysis
;
Spectroscopy, Fourier Transform Infrared
;
Galactose
;
Influenza A Virus, H1N1 Subtype
;
Polysaccharides/chemistry*
;
Oligosaccharides
;
Carbon
9.Altered microRNA expression profiles of human spermatozoa in normal fertile men of different ages.
Ming-Jia ZHAO ; Yao-Nan ZHANG ; Yong-Ping ZHAO ; Xian-Bing CHEN ; Bao-Sheng HAN ; Ning DING ; Yi-Qun GU ; Shu-Song WANG ; Jing MA ; Mei-Ling LIU
Asian Journal of Andrology 2023;25(6):737-744
MicroRNAs (miRNAs) are mediators of the aging process. The purpose of this work was to analyze the miRNA expression profiles of spermatozoa from men of different ages with normal fertility. Twenty-seven donors were divided into three groups by age (Group A, n = 8, age: 20-30 years; Group B, n = 10, age: 31-40 years; and Group C, n = 9, age: 41-55 years) for high-throughput sequencing analysis. Samples from 65 individuals (22, 22, and 21 in Groups A, B, and C, respectively) were used for validation by quantitative real-time polymerase chain reaction (qRT-PCR). A total of 2160 miRNAs were detected: 1223 were known, 937 were newly discovered and unnamed, of which 191 were expressed in all donors. A total of 7, 5, and 17 differentially expressed microRNAs (DEMs) were found in Group A vs B, Group B vs C, and Group A vs C comparisons, respectively. Twenty-two miRNAs were statistically correlated with age. Twelve miRNAs were identified as age-associated miRNAs, including hsa-miR-127-3p, mmu-miR-5100_L+2R-1, efu-miR-9226_L-2_1ss22GA, cgr-miR-1260_L+1, hsa-miR-652-3p_R+1, pal-miR-9993a-3p_L+2R-1, hsa-miR-7977_1ss6AG, hsa-miR-106b-3p_R-1, hsa-miR-186-5p, PC-3p-59611_111, hsa-miR-93-3p_R+1, and aeca-mir-8986a-p5_1ss1GA. There were 9165 target genes of age-associated miRNAs. Gene Ontology (GO) analysis of the target genes identified revealed enrichment of protein binding, membrane, cell cycle, and so on. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of age-related miRNAs for target genes revealed 139 enriched pathways, such as signaling pathways regulating stem cell pluripotency, metabolic pathways, and the Hippo signaling pathway. This suggests that miRNAs play a key role in male fertility changes with increasing age and provides new evidence for the study of the mechanism of age-related male fertility decline.
Humans
;
Male
;
Young Adult
;
Adult
;
Middle Aged
;
MicroRNAs/genetics*
;
Signal Transduction/genetics*
;
Spermatozoa/metabolism*
;
Gene Expression Profiling
10.The incidence and risk factors of early hyperglycemia in extremely preterm infants
Xiaofan SUN ; Nan GU ; Shuping HAN ; Xiaohui CHEN ; Qi WU ; Jia CHENG
Chinese Journal of Neonatology 2023;38(1):18-22
Objective:To study the incidence and risk factors of early hyperglycemia in extremely preterm infants (EPIs).Methods:From January 2018 to December 2021, EPIs with gestational age (GA) <28 w born in our hospital and admitted to the neonatal department were retrospectively studied. According to the occurrence of early hyperglycemia (within 1 w after birth), the infants were assigned into hyperglycemia group and non-hyperglycemia group. Univariate and logistic regression were used to analyze the risk factors of early hyperglycemia in EPIs.Results:A total of 218 cases of EPIs were enrolled, including 70 (32.1%) in the hyperglycemia group and 148 (67.9%) in the non-hyperglycemia group. The incidence of early hyperglycemia in EPIs with GA<25 w was 10/20 and 11/16 in EPIs with birth weight (BW) ≤700 g. The GA and BW of the hyperglycemia group were significantly lower than the non-hyperglycemia group ( P<0.05). More infants in the hyperglycemia group had 1-min and 5-min Apgar≤7 than the non-hyperglycemia group ( P<0.05). Logistic regression analysis showed that increased BW ( OR=0.995, 95% CI 0.993~0.997, P<0.05) was a protective factor for early hyperglycemia in EPIs, while male gender ( OR=2.512,95% CI 1.232~5.123, P<0.05), vasoactive drug use during the first week of life ( OR=2.687, 95% CI 1.126~6.414, P<0.05), maternal hypertension during pregnancy ( OR=14.735, 95% CI 1.578~137.585, P<0.05) were risk factors for early hyperglycaemia in EPIs. Conclusions:Early hyperglycemia are common among EPIs. Low BW, male gender, vasoactive drug use during the first week of life and maternal hypertension during pregnancy may increase the risk of early hyperglycemia.

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