1.Study of combining different deep learning strategies for denoising low-dose brain 18F-FDG PET images
Runxiang HUANG ; Fanwei ZHANG ; Yanqi WU ; Yu DU ; Zhengyu PENG ; Zhanli HU ; Ying WANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(12):744-750
Objective:To investigate the denoising performance of different deep learning (DL) strategies on low-dose brain 18F-FDG PET images. Methods:This retrospective methodological study was conducted on brain PET/CT images of 50 patients (35 males, 15 females, age 20-87 years) who received 3.7MBq/kg 18F-FDG at the Fifth Affiliated Hospital of Sun Yat-sen University between May 2023 and January 2024. Full-dose PET data were acquired with 2min scan. CT scans were acquired before PET scanning. Low-dose PET sinograms were generated by down-sampling the full-dose list mode data to 1/2, 1/4, and 1/20 of full-dose count level. Both full-dose and low-dose sinograms were reconstructed with random, CT-based attenuation and scatter corrections using the three-dimensional (3D) ordered-subsets expectation maximization (OSEM) algorithm (2 iterations, 20 subsets). A total of 4 DL denoising methods were established: (1) 3D conditional generative adversarial networks (GAN) using only low-dose PET as input (GAN-1); (2) 3D attention-based GAN (AttGAN) with low-dose PET input (AttGAN-1); (3) 3D AttGAN with low-dose PET and CT inputs (AttGAN-2); (4) 3D AttGAN with frequency-separation using low-dose PET and CT inputs (AttGAN-FS-2). For AttGAN-FS-2, during the frequency division process, high- and low-frequency components were extracted from the PET reconstructed images via Fourier transform, then inversed Fourier transform, denoised separately, and finally combined to produce the final denoised images. The dataset was separated into training (70%), validation (10%) and testing (20%) sets using simple random sampling without replacement with a fixed random seed. A 5-fold cross-validation scheme was then applied to test all 50 patients. Performance was evaluated against full-dose PET using normalized mean square error (NMSE), structural similarity (SSIM), peak signal-to-noise ratio (PSNR), contrast-to-noise ratio (CNR), SUV mean and SUV max bias of selected brain ROIs. Wilcoxon signed rank test was used to analyze the differences between the denoising methods. Results:AttGAN-FS-2 showed the best performance among all dose levels, with statistical difference as compared by low-dose PET and GAN-1 denoised images for NMSE, SSIM, PSNR, and CNR ( Z values: 2.92-6.15, all P<0.005). NMSE, SSIM quantitative evaluation results (median) of each model at 1/20 dose were: GAN-1: 0.08, 0.87, AttGAN-1: 0.08, 0.88, AttGAN-2: 0.07, 0.89, AttGAN-FS-2: 0.06, 0.91, respectively ( Z values: 3.24-5.77, all P<0.005). Conclusion:The DL-based method combined with multiple strategies AttGAN-FS-2 shows improved denoising performance for low-dose brain PET images.
2.Analysis of serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria using the Olink-targeted proteomics technology
Bihua LIANG ; Ziyan CHEN ; Huaping LI ; Hui ZOU ; Tianyi LIN ; Xiaofeng LI ; Luoyu ZHANG ; Shengxin LI ; Shanshan OU ; Jiaoquan CHEN ; Runxiang LI ; Huilan ZHU
Chinese Journal of Dermatology 2025;58(6):523-529
Objective:To analyze serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 88 CSU patients were enrolled from Guangzhou Dermatology Hospital from January 2022 to December 2024. All patients received antihistamine treatment according to the "Guideline for diagnosis and treatment of urticaria in China (2022) " . Based on the 7-day urticaria activity score (UAS7) after 4-week treatment, these patients were divided into an antihistamine-sensitive group and an antihistamine-resistant group. Serum levels of inflammatory factors at the initial visit were analyzed using the Olink-targeted proteomics technology. Specific biomarkers associated with antihistamine resistance were identified, and Spearman correlation analysis was carried out to analyze correlations among differentially expressed proteins. A logistic regression model was constructed based on the Olink proteomics data, and the predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. Measurement data were expressed as mean ± standard deviation or median (lower quartile, upper quartile) .Results:The 88 CSU patients aged 12 to 81 (38.78 ± 13.89) years, with the disease duration being 18 (7.00, 60.00) months. There were 32 patients in the antihistamine-sensitive group and 56 in the antihistamine-resistant group. No significant differences were found between the two groups in terms of age, disease duration, gender, or history of allergic diseases (all P > 0.05) . After 4 weeks of antihistamine treatment, the UAS7 score was significantly higher in the antihistamine-resistant group (25.00 [15.25, 31.00] points) than in the antihistamine-sensitive group (0.50 [0.00, 4.00] points; Z = -7.08, P < 0.001) . The Olink-targeted proteomics identified 5 differentially expressed proteins between the two groups: compared with the antihistamine-sensitive group, the antihistamine-resistant group showed > 2-fold higher expression of fibroblast growth factor 19 (FGF19) , interleukin-15 receptor subunit alpha (IL-15RA) , eotaxin (CCL11) , and monocyte chemoattractant protein-1 (MCP-1) ; in contrast, the expression of sulfotransferase 1A1 (ST1A1) in the antihistamine-sensitive group was 2.54 times that in the antihistamine-resistant group. Among the differentially expressed proteins, MCP-1 showed the highest specificity (1.00) for predicting antihistamine resistance, followed by CCL11 (0.97) . Correlation analysis revealed a significant positive correlation between MCP-1 and CCL11, and a significant negative correlation between IL-15RA and ST1A1. ROC curve analysis showed that MCP-1 and CCL11 had area under the curve values of 0.603 and 0.630, respectively, in predicting antihistamine resistance. Conclusion:MCP-1 and CCL11 may be potential biomarkers for predicting antihistamine resistance in CSU patients.
3.Study of combining different deep learning strategies for denoising low-dose brain 18F-FDG PET images
Runxiang HUANG ; Fanwei ZHANG ; Yanqi WU ; Yu DU ; Zhengyu PENG ; Zhanli HU ; Ying WANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(12):744-750
Objective:To investigate the denoising performance of different deep learning (DL) strategies on low-dose brain 18F-FDG PET images. Methods:This retrospective methodological study was conducted on brain PET/CT images of 50 patients (35 males, 15 females, age 20-87 years) who received 3.7MBq/kg 18F-FDG at the Fifth Affiliated Hospital of Sun Yat-sen University between May 2023 and January 2024. Full-dose PET data were acquired with 2min scan. CT scans were acquired before PET scanning. Low-dose PET sinograms were generated by down-sampling the full-dose list mode data to 1/2, 1/4, and 1/20 of full-dose count level. Both full-dose and low-dose sinograms were reconstructed with random, CT-based attenuation and scatter corrections using the three-dimensional (3D) ordered-subsets expectation maximization (OSEM) algorithm (2 iterations, 20 subsets). A total of 4 DL denoising methods were established: (1) 3D conditional generative adversarial networks (GAN) using only low-dose PET as input (GAN-1); (2) 3D attention-based GAN (AttGAN) with low-dose PET input (AttGAN-1); (3) 3D AttGAN with low-dose PET and CT inputs (AttGAN-2); (4) 3D AttGAN with frequency-separation using low-dose PET and CT inputs (AttGAN-FS-2). For AttGAN-FS-2, during the frequency division process, high- and low-frequency components were extracted from the PET reconstructed images via Fourier transform, then inversed Fourier transform, denoised separately, and finally combined to produce the final denoised images. The dataset was separated into training (70%), validation (10%) and testing (20%) sets using simple random sampling without replacement with a fixed random seed. A 5-fold cross-validation scheme was then applied to test all 50 patients. Performance was evaluated against full-dose PET using normalized mean square error (NMSE), structural similarity (SSIM), peak signal-to-noise ratio (PSNR), contrast-to-noise ratio (CNR), SUV mean and SUV max bias of selected brain ROIs. Wilcoxon signed rank test was used to analyze the differences between the denoising methods. Results:AttGAN-FS-2 showed the best performance among all dose levels, with statistical difference as compared by low-dose PET and GAN-1 denoised images for NMSE, SSIM, PSNR, and CNR ( Z values: 2.92-6.15, all P<0.005). NMSE, SSIM quantitative evaluation results (median) of each model at 1/20 dose were: GAN-1: 0.08, 0.87, AttGAN-1: 0.08, 0.88, AttGAN-2: 0.07, 0.89, AttGAN-FS-2: 0.06, 0.91, respectively ( Z values: 3.24-5.77, all P<0.005). Conclusion:The DL-based method combined with multiple strategies AttGAN-FS-2 shows improved denoising performance for low-dose brain PET images.
4.Analysis of serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria using the Olink-targeted proteomics technology
Bihua LIANG ; Ziyan CHEN ; Huaping LI ; Hui ZOU ; Tianyi LIN ; Xiaofeng LI ; Luoyu ZHANG ; Shengxin LI ; Shanshan OU ; Jiaoquan CHEN ; Runxiang LI ; Huilan ZHU
Chinese Journal of Dermatology 2025;58(6):523-529
Objective:To analyze serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 88 CSU patients were enrolled from Guangzhou Dermatology Hospital from January 2022 to December 2024. All patients received antihistamine treatment according to the "Guideline for diagnosis and treatment of urticaria in China (2022) " . Based on the 7-day urticaria activity score (UAS7) after 4-week treatment, these patients were divided into an antihistamine-sensitive group and an antihistamine-resistant group. Serum levels of inflammatory factors at the initial visit were analyzed using the Olink-targeted proteomics technology. Specific biomarkers associated with antihistamine resistance were identified, and Spearman correlation analysis was carried out to analyze correlations among differentially expressed proteins. A logistic regression model was constructed based on the Olink proteomics data, and the predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. Measurement data were expressed as mean ± standard deviation or median (lower quartile, upper quartile) .Results:The 88 CSU patients aged 12 to 81 (38.78 ± 13.89) years, with the disease duration being 18 (7.00, 60.00) months. There were 32 patients in the antihistamine-sensitive group and 56 in the antihistamine-resistant group. No significant differences were found between the two groups in terms of age, disease duration, gender, or history of allergic diseases (all P > 0.05) . After 4 weeks of antihistamine treatment, the UAS7 score was significantly higher in the antihistamine-resistant group (25.00 [15.25, 31.00] points) than in the antihistamine-sensitive group (0.50 [0.00, 4.00] points; Z = -7.08, P < 0.001) . The Olink-targeted proteomics identified 5 differentially expressed proteins between the two groups: compared with the antihistamine-sensitive group, the antihistamine-resistant group showed > 2-fold higher expression of fibroblast growth factor 19 (FGF19) , interleukin-15 receptor subunit alpha (IL-15RA) , eotaxin (CCL11) , and monocyte chemoattractant protein-1 (MCP-1) ; in contrast, the expression of sulfotransferase 1A1 (ST1A1) in the antihistamine-sensitive group was 2.54 times that in the antihistamine-resistant group. Among the differentially expressed proteins, MCP-1 showed the highest specificity (1.00) for predicting antihistamine resistance, followed by CCL11 (0.97) . Correlation analysis revealed a significant positive correlation between MCP-1 and CCL11, and a significant negative correlation between IL-15RA and ST1A1. ROC curve analysis showed that MCP-1 and CCL11 had area under the curve values of 0.603 and 0.630, respectively, in predicting antihistamine resistance. Conclusion:MCP-1 and CCL11 may be potential biomarkers for predicting antihistamine resistance in CSU patients.
5.Effect of tea polyphenols on the mRNA and nuclear protein expression of Nrf2/Bach1 in human skin fibroblasts
Bihua LIANG ; Qing LIU ; Na JIANG ; Qianwen ZHANG ; Erting ZHANG ; Huiyan DENG ; Huaping LI ; Runxiang LI ; Zhenjie LI ; Huilan ZHU
Chinese Journal of Dermatology 2017;50(3):199-203
Objective To evaluate effects of tea polyphenols on the mRNA and nucleoprotein expression of Nrf2/Bach1 in human skin fibroblasts (HSFs).Methods Some HSFs were incubated with tea polyphenols at different concentrations of 0,2.5,5,10,20 and 40 mg/L for 24 hours.Methyl thiazolyl tetrazolium (MTT) assay was conducted to evaluate the proliferative activity of HSFs to screen the optimal concentration of tea polyphenols.Then,some other HSFs were treated with tea polyphenols at this optimal concentration for 24 hours.Real-time quantitative PCR (RT-qPCR) was performed to determine mRNA expression of Nrf2 and Bach1,Western blot analysis to measure nuclear expression of Nrf2 and Bach1 proteins,and immunofluorescence assay to determine the distribution of Nrf2 and Bach1 protein in the cell nucleus.Results MTT assay showed that 5 mg/L tea polyphenols had no obvious effects on the proliferation of HSFs,so 5 mg/L was chosen as the optimal concentration of tea polyphenols for subsequent experiments.HSFs cultured without tea polyphenols served as control group.After the treatment,the 5-mg/L tea polyphenol group showed significantly decreased mRNA and nuclear protein expression of Bach 1 (mRNA:0.629 ± 0.077 vs.0.940 ± 0.033,t =6.397,P < 0.05;protein:1.424 ± 0.171 vs.16.966 ± 1.702,t =15.730,P < 0.05),but significantly increased mRNA and nuclear protein expression of Nrf2 (mRNA:1.467 ± 0.076 vs.0.977 ± 0.091,t =7.133,P < 0.05;protein:6.929 ± 0.121 vs.3.537 ± 0.126,t =33.636,P < 0.05) compared with the control group.Immunofluorescence assay showed increased accumulation of Nrf2 protein,but decreased accumulation of Bach1 protein in the nucleus.Conclusion Tea polyphenols can promote the mRNA and nuclear protein expression as well as nuclear distribution of Nrf2,but suppress the mRNA and nuclear protein expression as well as nuclear distribution of Bach 1,finally exerting antioxidative effects.
6.Effects of lycium barbarum polysaccharide on UV-mediated DNA strand breakage damage in HSF cells
Liqian PENG ; Zhenjie LI ; Erting ZHANG ; Qing LIU ; Na JIANG ; Huaping LI ; Bihua LIANG ; Runxiang LI ; Huilan ZHU
Chinese Journal of Medical Aesthetics and Cosmetology 2017;23(5):336-340
Objective To investigate the protective effect of lycium barbarum polysaccharide (LBP) on DNA damage of HSF cells induced by UV.Methods We established the model of UV induced photo damage in HSF cells.We detected the viability of HSF cells by using MTT colorimetry.The UV absorption spectrum of LBP was also measured by UV spectrophotometer.The level of ROS was detected by DCFH-DA fluorescent probe method.Comet assay was employed to evaluate the DNA strand breakage damage.Results When the concentration of LBP was less than or equal to 300μg/ml,there was no significant effect on the proliferation of HSF cells (P>0.05).When the concentration was more than 300 μg/ml,it could inhibit the cell proliferative activities (P<0.05).Compared to the UV groups,UV+LBP groups can respectively improve the cell proliferation activity (P<0.05).The absorbance was slight range 280 from 400 nm.Compared with the UV group,the relative fluorescence intensity and the migration distance of UV+ LBP groups were significantly decreased (P<0.05).Conclusions Lycium barbarum polysaccharide can effectively inhibit the proliferation activity and protect the breakage of DNA strand induced by UV,which is probably due to its action of removing free radicals.
7.Scavenging effect of crude polysaccharides extracted from Lycium barbarum on reactive oxygen species in ultraviolet radiation-induced HaCaT cells
Liqian PENG ; Erting ZHANG ; Qing LIU ; Na JIANG ; Huaping LI ; Bihua LIANG ; Runxiang LI ; Zhenjie LI ; Huilan ZHU
Chinese Journal of Dermatology 2017;50(8):557-561
Objective To evaluate the scavenging effect of crude polysaccharides extracted from Lycium barbarum (LBP) on reactive oxygen species in ultraviolet radiation-induced HaCaT cells,and to explore its possible mechanism.Methods Cultured immortalized human keratiuocyte HaCaT cells were divided into 6 groups:blank control group receiving no treatment,LBP group treated with crude LBP alone,ultraviolet A (UVA) group treated with UVA radiation alone,ultraviolet B (UVB) group treated with UVB radiation alone,UVA + LBP group treated with crude LBP for 24 hours followed by UVA radiation,and UVB + LBP group treated with crude LBP for 24 hours followed by UVB radiation.MTT colorimetry was performed to evaluate the cellular proliferative activity,UV spectrophotometric method to measure the UVA and UVB absorption of crude LBP,dichlorodihydrofluorescein diacetate (DCFH-DA) fluorescent probe assay to detect the level of ROS,enzymatic-biochemical method to estimate the activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px),as well as to detect the leakage of lactate dehydrogenase (LDH).Results Crude LBP at different concentrations of 0,100,200,300,400,500,600,1 500,2 000 mg/L had no obvious effects on the proliferative activity of HaCaT cells.Crude LBP had a high transmittance of ultraviolet rays at 280-400 nm.Compared with the blank control group,the UVA group and UVB group both showed significantly higher LDH leakage and ROS level,lower activities of SOD and GSH-Px (P < 0.001 or 0.05).Pretreatment with crude LBP before the ultraviolet radiation could significantly increase the activities of SOD and GSH-Px,decrease the LDH leakage and ROS level in the UVA + LBP group and UVB + LBP group compared with the UVA group or UVB group (P < 0.05).Conclusion Crude LBP have no effect of sunscreening agents,but can effectively scavenge ROS,decrease LDH leakage,inhibit ultraviolet radiation-induced photodamage in HaCaT cells,which may be associated with the enhancement of antioxidant enzyme activity.
8.Dynamic monitoring of anti-poliovirus neutralizing antibody and anti-hepatitis A virus IgG antibody in healthy children immunized with inactivated enterovirus 71 vaccine (human diploid cell)
Jing LI ; Yan LIANG ; Hongming LIN ; Zhaoyong ZHANG ; Yanchun CHE ; Yun LIAO ; Jifu SHENG ; Zhimei ZHAO ; Pingfang CUI ; Runxiang LONG ; Qihan LI
Chinese Journal of Microbiology and Immunology 2017;37(4):290-296
Objective To investigate the dynamic changes of three types of anti-poliovirus neutralizing antibodies and anti-hepatitis A virus (HAV) IgG antibody in children who were immunized with inactivated enterovirus 71 (EV71) vaccine (human diploid cell).Methods Serum samples were collected from the subjects immunized with inactivated EV71 vaccine.Neutralizing antibodies against EV71 and poliovirus were detected by micro-cytopathic effect neutralization test.Enzyme linked immunosorbent assay (ELISA) was used to detect IgG antibody against HAV.Results The geometric mean titers (GMTs) of anti-EV71 neutralizing antibody increased to 4.85 following the first-dose injection of inactivated EV71 vaccine.A significant increase of GMTs (up to 64.37) could be observed 28 days after the second-dose vaccination.Meanwhile, results of the dynamic monitor showed that there were slight fluctuations in the neutralizing antibodies against three types of poliovirus on day 28 (28 days after the first-dose vaccination) compared with those on day 0 (before vaccination) (P<0.05);types Ⅰ and Ⅲ anti-poliovirus neutralizing antibodies on day 56 (28 days after the second-dose vaccination) remained slightly different from those on day 0 (P<0.05), but type Ⅱ anti-poliovirus neutralizing antibody on day 56 had restored to normal level (P>0.05).The level of anti-HAV IgG antibody was stable and no significant difference was found during the observation period (P>0.05).Conclusion This study shows that inactivated EV71 vaccine has no impact on anti-HAV IgG antibody in Children during the two-dose vaccination and in anti-EV71 antibody-producing period, but has slight influence on the anti-poliovirus antibodies.In general, changes in antibody profile do not affect the clinical efficacy of immune response.
9.Drug-Resistance of Staphylococcus Aureus Induced by Erythromycin in Vitro
Shuping NIE ; Yang ZHANG ; Qiong WANG ; Lie HUANG ; Runxiang WU ; Lifen LING ; Feinan FAN
Journal of Modern Laboratory Medicine 2016;(1):138-139,143
Objective To investigate the drug-resistance of Staphylococcus aureus induced by erythromycin in vitro and its changes in growth and susceptibility of antibiotics.Methods Erythromycin in vitro induction was conducted with the S.au-reus reference strain ATCC25923 on the serial of erythromycin agar plates.The growth of S.aureus,and the susceptibility a-gainst other antibiotics was compared after induced to the parent strain.Results Resistance to erythromycin was successful-ly,and themaximum MIC was over 256 mg/L.The Erythromycin-resistant S.aureus grew much slower than the susceptible parent,and the strains didn’t have cross-resistance to other antibiotics.Conclusion S.aureus could be induced resistance in vitro by erythromycin,and this resistance inherited stably.Some phenotype and biochemical characteristic features of the strain were changed after induced.
10.Effects of sunscreens on delayed type hypersensitivity in mice
Huilan ZHU ; Xiaoxia ZHAO ; Runxiang LI ; Bihua LIANG ; Maofang HUANG ; Yuwu LUO ; Shaoyin MA ; Xibao ZHANG
Chinese Journal of Dermatology 2011;44(7):505-508
Objective To study the influence of sunscreens with different efficacy on delayed type hypersensitivity (DTH) and their immunoprotective effect in mice.Methods A cohort of mice were randomly divided into 5 groups with 10 mice in each group:group 1 as the positive control without irradiation,group 2 receiving solar-simulated radiation (SSR) only,group 3 receiving SSR and protected by sunscreen l with sun protection factor 15(SPF15)and persistent pigment darkening(PPD)12,group 4 receiving SSR and protected by sunscreen 2 with SPF 50 and PPD 28,and group 5 as the negative contml receiving SSR only.SSR was carried out on the back of mice with the UVA dose being 1.4 J/cm2 and UVB dose being 100 mJ/cm2 for 10 days.After a 5-day irradiation,the groups 1 to 4 were immunized by intraperitoneal injection with 100 μl(107 cells/ml) of Candida albicans suspension.On the 10th day both sides of the posterior foot pad were measured;then the foot pads were injected with additional 50 μl of the Candida albicans suspension.Twenty-four hours after the injection,the thickness of each foot pad was measured,and immunosuppression rate was calculated.Finally,the mice were sacrificed and skin samples were obtained from the back of these mice followed by the examination of CDla, CD80 and CD86 expression by Western blot.Resets The thickness of edema in foot pads was 0.41±0.38 mm,0.21±0.23 mm and 0.30 ± 0.25 mm in group 1,3 and 4,respectively,significantly higher than in group 5 and 2(0.04±0.03 mm,0.14±0.12 mm,respectively,all P<0.05),while no significant difference was observed between the group 3 and 4(P>0.05).Significant differences were observed in the immunosuppression rate between group 2,3 and 4(73.0%±11.3%,54.1%±6.4%,29.7%±7.5%,respectively,all P<0.01).Western blot revealed a significant increment in the expression of CDla protein in group 1 compared with group 2 as well as in the expression of CD86 protein in group 1 and group 3 compamd with group 2 and group 5(all P<0.05),but no statistical difference was observed between the other groups in the expression level of CDla,CD80 or CD86(P>0.05).Conclusions The exposure to sub-erythema dose of UV can induce DTH,and sunscreens have an immunoprotective effect in this process.Epidermal Langerhans cells are not essential for UV-induced immunosuppression.

Result Analysis
Print
Save
E-mail