1.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
2.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
3.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
4.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
5.The Role of Gut Microbiota in Male Erectile Dysfunction of Rats
Zhunan XU ; Shangren WANG ; Chunxiang LIU ; Jiaqi KANG ; Yang PAN ; Zhexin ZHANG ; Hang ZHOU ; Mingming XU ; Xia LI ; Haoyu WANG ; Shuai NIU ; Li LIU ; Daqing SUN ; Xiaoqiang LIU
The World Journal of Men's Health 2025;43(1):213-227
Purpose:
Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function.
Materials and Methods:
Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection.
Results:
The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways.
Conclusions
Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.
6.Effect of Video-based Educational Intervention Combined with Maternal Presence on Perioperative Adverse Outcomes in Preschool Children under General Anesthesia
Jiayu TAN ; Fengqiu GONG ; Wenqi HUANG ; Xia FENG ; Qiongfang ZHU ; Yubo KANG ; Wenyan WU ; Xiuhong LI
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(3):519-527
ObjectiveTo investigate the effect of video-based educational intervention combined with maternal presence on perioperative adverse outcomes in preschool children undergoing general anesthesia, including cooperation in anesthesia induction, perioperative anxiety, pain and agitation during recovery. MethodsA total of 300 preschool children scheduled for general anesthesia in our hospital from June to December 2023 were randomly assigned to control group (n=150) and intervention group (n=150). The control group received routine recovery care. For the intervention group, in addition to routine recovery care, a preoperative visit was scheduled one day before surgery. During this visit, mothers were guided to watch anesthesia videos with their children. During the waiting period in the operating room and 30 minutes after awakening, the mothers were guided to accompany the children for more than 30 minutes. Recovery conditions were recorded using the surgical anesthesia information system, and the children’s anesthetic induction compliance, perioperative anxiety, pain, and agitation were evaluated and recorded using the modified Yale Preoperative Anxiety Scale (m-YPAS), the Induction Compliance Scale (ICC), the Children’s Pain Behavior Scale (FLACC), and the Pediatric Agitation and Emergence Delirium Scale (PAED). ResultsOn the preoperative visit day, there were no statistically significant differences in baseline data between the two groups (P > 0.05). For perioperative anxiety, the m-YPAS scores of the intervention group were significantly lower than those of the control group, both when entering the operating room waiting area (35.27±6.48 vs. 41.79±6.68, P < 0.05) and 30 minutes after postoperative recovery (20.13±7.05 vs. 35.75±9.51, P < 0.05). In terms of anesthesia induction cooperation, the ICC scores of the intervention group were significantly lower than those of the control group (1.84±0.95 vs. 3.17±0.62, P < 0.05), and the proportion of good induction cooperation was significantly higher than that of the control group (24.00% vs. 12.67%, P < 0.05). There was no significant difference in awakening duration between the two groups, but the intervention group had a significantly shorter length of stay in the post-anesthesia care unit than the control group (0.90±0.29 hours vs. 1.29±0.42 hours, P < 0.001). For perioperative agitation, the PAED scores of the intervention group were significantly lower than those of the control group (entering in the operating room waiting area: 8.5 vs. 9.2, P < 0.05; 30 minutes after postoperative recovery: 4.2 vs. 7.8, P < 0.05). In terms of pain scores, the FLACC scores of the intervention group were also significantly lower than those of the control group, both when entering the operating room waiting area ( 5.3 vs. 6.7, P < 0.05; 30 minutes after postoperative recovery: 2.1 vs. 4.9, P < 0.05). ConclusionsVideo-based educational intervention combined with maternal presence reduces the perioperative anxiety, pain and agitation of preschool children undergoing general anesthesia, and improved the compliance of anesthesia induction. It is recommended to promote this intervention measure in clinical practice.
7.Feature reconstruction-based self-supervised learning model for vessel segmentation
Bowen ZHOU ; Hui SUN ; Kaiyue DIAO ; Qing XIA ; Kang LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(06):779-784
Objective To propose an innovative self-supervised learning method for vascular segmentation in computed tomography angiography (CTA) images by integrating feature reconstruction with masked autoencoding. Methods A 3D masked autoencoder-based framework was developed, where in 3D histogram of oriented gradients (HOG) was utilized for multi-scale vascular feature extraction. During pre-training, random masking was applied to local patches of CTA images, and the model was trained to jointly reconstruct original voxels and HOG features of masked regions. The pre-trained model was further fine-tuned on two annotated datasets for clinical-level vessel segmentation. Results Evaluated on two independent datasets (30 labeled CTA images each), our method achieved superior segmentation accuracy to the supervised neural network U-Net (nnU-Net) baseline, with Dice similarity coefficients of 91.2% vs. 89.7% (aorta) and 84.8% vs. 83.2% (coronary arteries). Conclusion The proposed self-supervised model significantly reduces manual annotation costs without compromising segmentation precision, showing substantial potential for enhancing clinical workflows in vascular disease management.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
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 ; 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 ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%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)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed 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 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.Application of whole genome sequencing in a Clostridium perfringens diarrhea outbreak
Ai-Xia YAN ; Yan-Yan PAN ; Ying KANG ; Shoufei LI ; Miao WANG ; Luo-Tong WANG ; Yuan-Yuan WANG ; Yu-Wei LIU ; Ying LI ; Zhenzhou HUANG
Chinese Journal of Zoonoses 2024;40(8):758-762,773
An etiological analysis of a diarrhea outbreak attributed to C.perfringens was conducted.Anal swab and envi-ronmental smear samples were collected and subjected to fluorescence PCR detection of C.perfringens plc and cpe,as well as isolation and culture of C.perfringens before and after enrichment culture.The isolated colonies underwent fully automated bi-ochemical identification and time-of-flight mass spectrometry analysis.Whole genome sequencing of isolates identified as C.perfringens was performed to analyze the strain carrying virulence and resistance genes,and the genetic aggregation based on single nucleotide polymorphisms in the core genome for all isolates.The positivity rates for plc and cpe genes without bacterial enhancement were 46.15%(6/13)and 53.85%(7/13),respectively.The positivity rates for plc and cpe genes after 24 h anae-robic bacterial enhancement in BHI were 38.46%(5/13)and 53.85%(7/13).All ten isolated CP belonged to the F biotype,with virulence gene characteristics of plc+/cpb-/etx-/iA-/cpe+/cpb2+/netB-.The phylogenomic tree indicated that all ten case-patient isolates except P1 isolate(lineage 1)were closely related and clustered together in a single clade(lineage 2).Lineage 1 belonged to ST589 and carried the macrolide re-sistance gene erm(Q),whereas lineage 2 belonged to ST149 and carried the tetracycline resistance gene tetB(P).The outbreak was caused by type F C.perfringens,and most ca-ses were infected with a group of highly clonogenic cpe+col-onies.Whole genome sequencing technology can be applied to etiology analysis of C.perfringens outbreak events,and the enrichment culture and molecular screening methods for C.per-fringens based on anal swab samples should be further developed and applied.
10.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

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