1.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
2.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; 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 ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
3.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
4.Erratum: Author correction to "Sphingosine-1-phosphate, a novel TREM2 ligand, promotes microglial phagocytosis to protect against ischemic brain injury" Acta Pharm Sin B 12 (2022) 1885-1898.
Tengfei XUE ; Juan JI ; Yuqin SUN ; Xinxin HUANG ; Zhenyu CAI ; Jin YANG ; Wei GUO ; Ruobing GUO ; Hong CHENG ; Xiulan SUN
Acta Pharmaceutica Sinica B 2025;15(5):2813-2814
[This corrects the article DOI: 10.1016/j.apsb.2021.10.012.].
5.Diagnostic value of ultrasonic shear wave elastography for clinically significant prostate cancer
Fang-rui YANG ; Yong-hao JI ; Li-tao RUAN ; Jian-xue LIU ; Yao-ren ZHANG ; Xiao ZHANG ; Qin-yun WAN ; Si-fan REN
National Journal of Andrology 2025;31(6):505-511
Objective:To explore the diagnostic value of shear wave elastography(SWE)for clinically significant prostate cancer(csPCa).Methods:We retrospectively analyzed the clinical data of 359 cases with suspected prostate cancer(PCa)in Baoji Central Hospital from June 2017 to July 2023.All the patients underwent the following examinations in the order of serum prostate-spe-cific antigen(PSA)testing,transrectal ultrasonography(TRUS),measurement of the stiffness of the entire prostate gland by SWE,and TRUS-guided prostate puncture biopsy.The stiffness of the entire prostate gland was defined as the average of Young's modulus at both sides of the base,middle,and apex of the prostate,including the maximum Young's modulus(Emax),mean Young's modulus(Emean),and minimum Young's modulus(Emin).We analyzed the correlation of the parameters of the stiffness of the entire prostate gland with the pathological results,focusing on their diagnostic performance for csPCa.Results:Of the 359 cases,189 were diag-nosed by pathological puncture biopsy as BPH,26 as non-csPCa,and 144 as csPCa.The PSA level,Emax,Emean and Emin were significantly higher in the csPCa than those in the BPH and non-csPCa groups(all P<0.01),but showed no statistically significant difference between the BPH and non-csPCa groups(all P>0.05).The area under the receiver operating characteristic curve(AUC),optimal cut-off value,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV)and accura-cy of Emax in the diagnosis of csPCa were 0.852,143.92 kPa,72.22%,84.65%,75.91%,81.98%and 79.67%;those of Emean were 0.868,82.42 kPa,67.36%,91.16%,83.62%,80.66%and 81.62%;and those of Emin were 0.682,32.73 kPa,47.22%,89.30%,73.91%,71.54%and 72.14%,respectively.In the non-csPCa group,Emax,Emean and Emin were found be-low the optimal cut-off value in 73.08%(19/26),92.31%(24/26)and 88.46%(23/26),respectively.Conclusion:The stiff-ness of the entire prostate gland measured by SWE contributes to the diagnosis of csPCa,reduces unnecessary detection of non-csPCa,and provides some reference for its active surveillance.
6.The association between prefrontal cortex functional connectivity and clinical symptoms in patients with schizophrenia
Man DONG ; Yang TIAN ; Lifeng WANG ; Bingqian LIU ; Ranran XUE ; Xinxiu HE ; Xia LIU ; Shanling JI ; Hao YU
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(10):905-911
Objective:To investigate the functional characteristics of the prefrontal cortex in patients with schizophrenia (SCZ) during resting state and analyze its association with clinical symptoms.Methods:Twenty-eight hospitalized patients with SCZ (SCZ group) were selected from November 2023 to May 2024, and 28 healthy controls (HC group) were recruited concurrently. By using functional near-infrared spectroscopy (fNIRS) technology, data on the concentration changes of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) in the prefrontal cortex during resting state were collected from all subjects to measure cortical hemodynamic activity. Regional activation values and functional connectivity (FC) values among brain areas were analyzed. Clinical symptoms in patients were assessed using the positive and negative syndrome scale (PANSS).SPSS 25.0 software was employed for statistical analysis. Between-group comparisons were performed using independent samples t-tests or Mann-Whitney U tests. Spearman correlation analysis and general linear regression models were applied to examine relationships between prefrontal cortical functional characteristics and clinical symptoms. Results:The levels of HbO in the right inferior frontal gyrus and left frontal pole area were significantly higher in the SCZ group (1.5 (1.0, 3.0)μmol/L, 1.0 (1.0, 2.8)μmol/L) than those in the HC group (-0.01 (-0.05, 0.02)μmol/L, -0.02 (-0.07, 0.03)μmol/L) ( Z=-6.46, -6.50, both P<0.01). The levels of HbR in the bilateral dorsolateral prefrontal cortex were significantly higher in the SCZ group (0.02 (-0.01, 0.07)μmol/L, 0.01 (-0.01, 0.03)μmol/L) than those in the HC group (-0.01 (-0.03, 0.01)μmol/L, -0.01 (-0.02, 0.01)μmol/L) ( Z=-2.46, -1.98, both P<0.05).The SCZ group showed significantly higher HbO-based FC values in the frontal pole-temporal pole (0.49±0.21) and temporal pole-dorsolateral prefrontal cortex (0.36±0.25) compared to the HC group (0.33±0.18, 0.15±0.19) ( t=3.02, 3.44, both P<0.01). Conversely, the SCZ group exhibited significantly lower HbR-based FC in the frontal pole-inferior frontal gyrus (0.15±0.13) and inferior frontal gyrus-temporal pole (0.27±0.37) compared to the HC group (0.33±0.26, 0.77±0.48) ( t=-3.17, -4.23, both P<0.01). Correlation analysis revealed that in the SCZ group, the level of HbO in the right inferior frontal gyrus was positively correlated with negative symptoms, positive symptoms, excitement/hostility, and PANSS total score ( r=0.45-0.64, all P<0.05), and the level of HbO in the left frontal pole area was positively correlated with excitement/hostility and PANSS total score ( r=0.57, 0.50, both P<0.01), while the FC value between the frontal pole and temporal pole areas showed a negative correlation with excitement/hostility ( r=-0.39, P<0.05). Regression analysis demonstrated that, the HbO concentration in the right inferior frontal gyrus significantly positively predicted PANSS total score, positive symptoms, and negative symptoms ( β=0.70, 0.64, 0.55, all P<0.01).The HbO concentration in the left frontal pole area significantly positively predicted excitement/hostility ( β=0.77, P<0.01).The frontal pole-temporal pole HbO-based FC significantly negatively predicted excitement/hostility scores ( β=-0.42, P<0.01). Conclusion:Patients with SCZ exhibit hyperactivation of localized prefrontal cortex brain regions and dysfunction of functional connectivity during resting state, which are significantly associated with core clinical symptoms including positive, negative, and excitement/hostility symptoms.
7.Effect of transforming growth factor beta 1 on the proliferation, migration and endothelial-to-mesenchymal transition of infantile hemangioma-derived endothelial cells
Xue GONG ; Kaiying YANG ; Tong QIU ; Shanshan XIANG ; Jiangyuan ZHOU ; Yi JI
Chinese Journal of Dermatology 2025;58(2):138-144
Objective:To investigate the effect of transforming growth factor beta 1 (TGF-β1) on the biological activity of infantile hemangioma (IH) -derived endothelial cells (HemECs) .Methods:Three proliferating IH tissues and three involuting IH tissues were collected from IH patients receiving surgical resection at the Department of Pediatric Surgery, West China Hospital, Sichuan University from February to August 2021. Primary HemECs were isolated from proliferating IH tissues, and human umbilical vein endothelial cells (HUVECs) served as the control. The TGF-β1 expression levels in tissues and cells were detected by immunohistochemical study and Western blot analysis. Cell counting kit-8 (CCK8) assay was performed to assess the effect of 0 (control group) - 100 ng/ml TGF-β1 on HemEC proliferation. HemECs were treated with 5 ng/ml TGF-β1 or without (control group), and after several hours of treatment, Transwell assay was performed to evaluate cell migration ability, and immunofluorescence assay to assess the changes in the expression of endothelial markers (platelet-endothelial cell adhesion molecule-1 [CD31], vascular endothelial cadherin [VE-cadherin]) and mesenchymal markers (α-smooth muscle actin [α-SMA], collagen type Ⅰ α 1 [COL1A1]). Comparisons between groups were conducted by t test or one-way analysis of variance. Results:Immunohistochemical study showed that proliferating IH tissues were stained positively for TGF-β1, which was expressed relatively abundantly; the percentages of TGF-β1-positive signal area were higher in the proliferating IH tissues (24.68% ± 3.74%) than in the involuting IH tissues (almost no expression). Western blot analysis revealed that the relative expression level of TGF-β1 was significantly higher in HemECs (1.08 ± 0.13) than in HUVECs (0.30 ± 0.04, t = 9.93, P < 0.001). CCK8 assay showed increased proliferative activity of HemECs in the 3.125-, 6.25-, 12.5-, 25-, 50- and 75-ng/ml TGF-β1 groups compared with the control group (all P < 0.05), and no significant difference was found between the 100-ng/ml TGF-β1 group and the control group ( P > 0.05). Transwell assay revealed an increased number of migratory HemECs in the 5-ng/ml TGF-β1 group (127 ± 6) compared with the control group (103 ± 9; t = 5.32, P < 0.01). Immunofluorescence assay showed significantly decreased fluorescence intensity of endothelial markers CD31 and VE-cadherin in the 5-ng/ml TGF-β1 group (5.441 ± 1.254, 5.073 ± 0.412, respectively) compared with the control group (9.518 ± 1.728,7.671 ± 0.921, t = 3.31, 4.46, P = 0.030, 0.011, respectively), and significantly increased fluorescence intensity of mesenchymal markers α-SMA and COL1A1 in the 5-ng/ml TGF-β1 group (8.074 ± 0.846, 5.885 ± 0.216, respectively) compared with the control group (0.393 ± 0.342, 0.295 ± 0.125, t = 14.58, 38.76, P < 0.001, < 0.000 1, respectively) . Conclusion:TGF-β1 was relatively highly expressed in the proliferating IH tissues and HemECs, and could promote the proliferation, migration and endothelial-to-mesenchymal transition of HemECs.
8.Isolation, purification, identification, culture, and phenotypic analysis of endothelial cells derived from Kaposiform hemangioendothelioma
Yuru LAN ; Jiangyuan ZHOU ; Tong QIU ; Xue GONG ; Kaiying YANG ; Zixin ZHANG ; Xuepeng ZHANG ; Yi JI
Chinese Journal of Dermatology 2025;58(5):453-459
Objective:To establish a complete system for the isolation, purification, identification, and culture of Kaposiform hemangioendothelioma-derived endothelial cells (KHE-ECs), to analyze the phenotype of KHE-ECs, and to explore the possibility of establishing a KHE-EC bank.Methods:A novel digestion solution for KHE tumors (patent number: CN202410500224.2) was formulated using collection fluid, Liberase TM and dispase stock solutions, and was used to process tumor tissues to obtain cells. High-purity KHE-ECs were purified using CD31 + immunomagnetic beads. The EGM-2 complete medium containing 10% fetal bovine serum and 2% penicillin-streptomycin solution was employed for cell culture. To verify the characteristics of KHE-ECs, immunofluorescence assay was conducted to determine the expression of endothelial cell-specific markers CD31 and CD34, KHE disease markers podoplanin (D2-40), prospero-related homeobox 1 (Prox-1), and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE1), as well as an infantile hemangioma-specific diagnostic marker glucose transporter 1 (GLUT-1). Human umbilical vein endothelial cells (HUVECs) served as controls for the phenotype analysis of KHE-ECs, including cell viability, cytoskeleton, proliferation, migration, invasion, tube formation, and sprouting ability. Results:Primary cells were successfully isolated from KHE tumor tissues, and high-purity KHE-ECs were obtained by using CD31 + immunomagnetic beads. The cells exhibited typical spindle-shaped morphology and an adherent growth pattern. Immunofluorescence assay showed that KHE-ECs expressed CD31, CD34, D2-40, Prox-1, and LYVE1, but did not express GLUT-1. There were significant differences in cell morphology, cell viability, and cytoskeletal structures between KHE-ECs and HUVECs. Additionally, the KHE-EC group showed significantly increased percentages of proliferative cells (29.1% ± 2.5%), numbers of migratory cells (114.3 ± 9.4) and invasive cells (110.0 ± 6.1), tube length (32 121.0 ± 892.0 μm), and number of sprouting cells (25.0 ± 3.6) compared with the HUVEC group (13.0% ± 2.2%, 38.0 ± 3.6, 35.3 ± 2.3, 25 345.0 ± 448.1 μm, 5.0 ± 1.0, respectively, all P ≤ 0.001) . Conclusion:An innovative digestion solution specifically for KHE tumors was formulated for the first time, and high-purity and well-growing KHE-EC strains were successfully isolated and purified by using the novel digestion solution in combination with CD31 + immunomagnetic beads, providing a stable and reliable cell source for subsequent experimental studies on KHE and laying the foundation for establishing a KHE-EC bank.
9.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
10.The association between prefrontal cortex functional connectivity and clinical symptoms in patients with schizophrenia
Man DONG ; Yang TIAN ; Lifeng WANG ; Bingqian LIU ; Ranran XUE ; Xinxiu HE ; Xia LIU ; Shanling JI ; Hao YU
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(10):905-911
Objective:To investigate the functional characteristics of the prefrontal cortex in patients with schizophrenia (SCZ) during resting state and analyze its association with clinical symptoms.Methods:Twenty-eight hospitalized patients with SCZ (SCZ group) were selected from November 2023 to May 2024, and 28 healthy controls (HC group) were recruited concurrently. By using functional near-infrared spectroscopy (fNIRS) technology, data on the concentration changes of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) in the prefrontal cortex during resting state were collected from all subjects to measure cortical hemodynamic activity. Regional activation values and functional connectivity (FC) values among brain areas were analyzed. Clinical symptoms in patients were assessed using the positive and negative syndrome scale (PANSS).SPSS 25.0 software was employed for statistical analysis. Between-group comparisons were performed using independent samples t-tests or Mann-Whitney U tests. Spearman correlation analysis and general linear regression models were applied to examine relationships between prefrontal cortical functional characteristics and clinical symptoms. Results:The levels of HbO in the right inferior frontal gyrus and left frontal pole area were significantly higher in the SCZ group (1.5 (1.0, 3.0)μmol/L, 1.0 (1.0, 2.8)μmol/L) than those in the HC group (-0.01 (-0.05, 0.02)μmol/L, -0.02 (-0.07, 0.03)μmol/L) ( Z=-6.46, -6.50, both P<0.01). The levels of HbR in the bilateral dorsolateral prefrontal cortex were significantly higher in the SCZ group (0.02 (-0.01, 0.07)μmol/L, 0.01 (-0.01, 0.03)μmol/L) than those in the HC group (-0.01 (-0.03, 0.01)μmol/L, -0.01 (-0.02, 0.01)μmol/L) ( Z=-2.46, -1.98, both P<0.05).The SCZ group showed significantly higher HbO-based FC values in the frontal pole-temporal pole (0.49±0.21) and temporal pole-dorsolateral prefrontal cortex (0.36±0.25) compared to the HC group (0.33±0.18, 0.15±0.19) ( t=3.02, 3.44, both P<0.01). Conversely, the SCZ group exhibited significantly lower HbR-based FC in the frontal pole-inferior frontal gyrus (0.15±0.13) and inferior frontal gyrus-temporal pole (0.27±0.37) compared to the HC group (0.33±0.26, 0.77±0.48) ( t=-3.17, -4.23, both P<0.01). Correlation analysis revealed that in the SCZ group, the level of HbO in the right inferior frontal gyrus was positively correlated with negative symptoms, positive symptoms, excitement/hostility, and PANSS total score ( r=0.45-0.64, all P<0.05), and the level of HbO in the left frontal pole area was positively correlated with excitement/hostility and PANSS total score ( r=0.57, 0.50, both P<0.01), while the FC value between the frontal pole and temporal pole areas showed a negative correlation with excitement/hostility ( r=-0.39, P<0.05). Regression analysis demonstrated that, the HbO concentration in the right inferior frontal gyrus significantly positively predicted PANSS total score, positive symptoms, and negative symptoms ( β=0.70, 0.64, 0.55, all P<0.01).The HbO concentration in the left frontal pole area significantly positively predicted excitement/hostility ( β=0.77, P<0.01).The frontal pole-temporal pole HbO-based FC significantly negatively predicted excitement/hostility scores ( β=-0.42, P<0.01). Conclusion:Patients with SCZ exhibit hyperactivation of localized prefrontal cortex brain regions and dysfunction of functional connectivity during resting state, which are significantly associated with core clinical symptoms including positive, negative, and excitement/hostility symptoms.

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