1.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
2.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
3.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
4.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
5.Impact of early percutaneous coronary intervention after thrombolysis on myocardial perfusion and left ventricular function in patients with acute ST-segment elevation myocardial infarction
Yajing MIAO ; Xiaoxu WANG ; Yanbo WANG ; Gaojie HAN ; Qiaoli TONG ; Xuqian ZHANG ; Jinglan WU ; Xinshun GU ; Hongning YIN
Chinese Journal of Ultrasonography 2024;33(2):98-105
Objective:To investigate the effects of early percutaneous coronary intervention (PCI) on myocardial perfusion and left ventricular function in patients with acute ST-segment elevation myocardial infarction (STEMI) after thrombolysis.Methods:A total of 108 patients with STEMI treated in the Second Hospital of Hebei Medical University from January 2020 to December 2022 were divided into early PCI following thrombolysis group ( n=65) and primary PCI (pPCI) group ( n=43). The general clinical data, and the parameters of routine echocardiography at 1 day after PCI and before discharge were compared between the two groups. Myocardial contrast echocardiography (MCE) was used to evaluate myocardial perfusion at 1 day after PCI and before discharge. Results:There were no significant differences in general clinical data between the early PCI following thrombolysis group and the pPCI group (all P>0.05). The left ventricular ejection fraction (LVEF) in the early PCI following thrombolysis group and pPCI group before discharge was significantly higher than that on the 1st day after PCI(both P<0.05). The difference of LVEF was significant between the early PCI following thrombolysis group and the pPCI group before discharge and 1 day after PCI ( P<0.05). Compared with 1 day after PCI, the global longitudinal strain (LVGLS) of left ventricle increased in early PCI following thrombolysis group and pPCI group before discharge(both P<0.05). The difference of LVGLS between early PCI following thrombolysis group and pPCI group before discharge and 1 day after discharge was statistically significant( P<0.05). There were no significant differences in left ventricular end-diastolic diameter (LVEDD), left ventricular end-diastolic volume (LVEDV), left atrial volume (LAV), ratio of mitral early diastolic velocity to late diastolic velocity (E/A), mean early diastolic velocity of mitral annulus (Em) and E/Em 1 day after PCI and before discharge between early PCI following thrombolysis group and pPCI group (all P>0.05). MCE showed that the MCE score index of early PCI following thrombolysis group and pPCI group before discharge was significantly lower than that of 1 day after PCI(both P<0.001). Compared to the 1 day after PCI, the early PCI following thrombolysis group showed a significant increase in the proportion of normal microvascular perfusion (nMVP) and a decrease in the proportion of delayed microvascular perfusion (dMVP) and microvascular obstruction (MVO) before discharge (all P<0.05). In contrast, the pPCI group demonstrated a significant decrease in the proportion of both nMVP and dMVP before discharge compared to the first day after PCI (all P<0.05). However, the decrease in the proportion of MVO was not statistically significant ( P>0.05). Conclusions:Early PCI following thrombolysis and pPCI can enhance left ventricular systolic function and myocardial perfusion in patients with acute ST-elevation myocardial infarction. Early PCI following thrombolysis may offer additional advantages in improving left ventricular systolic function and myocardial perfusion.
6.Effect of estrogen-related receptor α-mediated lipophagy on proliferation and migration abilities of nasopharyngeal cancer cells
Xiuzhi KONG ; Ying SHAN ; Yiwen YOU ; Miao GU ; Haijuan XIAO ; Mengdie YOU ; Bo YOU
Cancer Research and Clinic 2024;36(2):105-111
Objective:To investigate the effect of estrogen-related receptor α (ESRRA)-mediated lipophagy on the proliferation and migration abilities of nasopharyngeal carcinoma cells.Methods:A total of 16 clinical samples diagnosed by pathology in the Affiliated Hospital of Nantong University from 2021 to 2023 were selected, including 8 normal nasopharyngeal mucosa tissues and 8 nasopharyngeal carcinoma tissues. Immortalized normal nasopharyngeal epithelial cell line NP69 and nasopharyngeal carcinoma cell lines C666-1, CNE2, TW03-EBV and TW03 were selected. The cell lines C666-1 and CNE2 were divided into the siR-NC group (transfected with small interfering RNA negative control sequence) and siR-ESRRA group (transfected with small interfering RNA against ESRRA gene). The relative expression levels of ESRRA were detected by Western blotting and immunohistochemical assay. EdU assay was used to detect the proliferation ability of C666-1 and CNE2 cells, and Transwell assay was used to detect the migration ability. Real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the relative expression levels of ESRRA and perilipin 3 (PLIN3) mRNA. The formation of lipophagy in C666-1 and CNE2 cells was observed by transmission electron microscopy. The co-localization of LC3, PLIN3 and LAMP2 with lipid droplets labeling with Bodipy was detected by immunofluorescence assay. Dual-luciferase reporter gene assay was used to verify the targeting relationship between ESRRA and PLIN3.Results:The relative expression level of ESRRA in nasopharyngeal carcinoma tissues was higher than that in normal nasopharyngeal mucosa tissues(1.15±0.75 vs. 0.32±0.21, t = 3.02, P = 0.009). The relative expression level of ESRRA in nasopharyngeal carcinoma cell lines C666-1 (1.539±0.044), CNE2 (1.420±0.030), TW03-EBV (2.867±0.044), and TW03 (1.323±0.022) were higher than that in normal nasopharyngeal epithelial cell line NP69 (0.094±0.002), and the difference was statistically significant ( F = 34.08, P < 0.001).The results of EdU assay showed that the proportions of EdU labeled positive cells in CNE2 cells of siR-NC group and siR-ESRRA group were (70.44±4.06)% and (51.51±0.92)% ( t = 7.88, P = 0.001), and the proportions in C666-1 cells were (62.25±3.89)% and (54.91±0.27)% ( t = 3.26, P = 0.031). The results of Transwell assay showed that the number of migrating cells in CNE2 and C666-1 cells was less than that in siR-NC group [CNE2 cells: (181±7) cells vs. (261±21) cells; C666-1 cells: (201±16) cells vs. (256±7) cells], and the differences were statistically significant ( t = 6.30, P = 0.003; t = 5.43, P = 0.006). According to qRT-PCR results, the relative expression level of PLIN3 mRNA in the siR-ESRRA group was higher than that in the siR-NC group (CNE2 cells: 1.58±0.16 vs. 0.83±0.17, t = 5.59, P = 0.005; C666-1 cells: 1.37±0.12 vs. 1.06±0.06, t = 3.86, P = 0.018). The dual-luciferase reporter gene assay results indicated a targeted binding interaction between PLIN3 and ESRRA. Transmission electron microscopy observation showed that the lipid droplets in nasopharyngeal carcinoma cells increased and the binding to autophagosomes decreased after knockdown of ESRRA. The results of immunofluorescence assay demonstrated that, in contrast to the siR-NC group, there was a decrease in the co-localization of LC3 and LAMP2 and an increase in the co-localization of lipid droplets with PLIN3. Conclusions:ESRRA is highly expressed in nasopharyngeal carcinoma tissues and cells. As a transcription repressor, ESRRA may work to prevent PLIN3 from being transcribed, decrease lipid droplet stability, mediate lipophagy, and promote proliferation and migration of nasopharyngeal carcinoma cells.
7.Investigation of occupational health of nuclear medicine radiation workers in Jiangsu Province, China, 2023
Wei CHEN ; Shihao WU ; Xindi WEI ; Xiangyong FAN ; Yuanyuan ZHOU ; Yuji MIAO ; Yeqing GU ; Jinhan WANG ; Zhili XIA ; Zihao ZHANG ; Jin WANG
Chinese Journal of Radiological Health 2024;33(5):542-548
Objective To investigate the basic situation and occupational health conditions of nuclear medicine radiation workers in Jiangsu Province based on the research protocol developed by the Institute of Radiation Medicine, Chinese Academy of Medical Sciences for the nationwide study on the health effects of nuclear medicine radiation in China, understand the impact of occupational radiation on the physical health of nuclear medicine radiation workers, and provide a basis for improving the occupational protection of nuclear medicine radiation workers and reducing the risk of occupational radiation-related health issues. Methods A census approach was used to collect general data and occupational health information of nuclear medicine radiation workers in Jiangsu Province. The analysis focused on the abnormalities in physical examination indicators among radiation workers of different genders, ages, and working years to evaluate the health effects of occupational radiation exposure. Results The occupational health examination data of 472 nuclear medicine radiation workers were collected from 76 medical institutions in Jiangsu Province. The results showed that the detection rate of abnormal hypothyroidism in female workers (8.90%) was higher than that in male workers (2.54%) (P=0.028). With increasing working years, the detection rates of cataract and continuous decrease in white blood cell count increased (P<0.001). The multivariate logistic regression identified working years as a risk factor for cataract and continuous decrease in white blood cell count (OR=1.59, 95%CI=1.40-3.35, P=
8.Research on population pharmacokinetics of propofol injection in adult patients under general anesthesia
Jin-Xia LI ; An-Cheng GU ; Fu-Miao YUAN ; Cai LI ; Hai-Jun DENG ; Zhong-Yuan XU
The Chinese Journal of Clinical Pharmacology 2024;40(14):2124-2128
Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.
9.Effect of structured therapy and education based on personal strength on ischemic stroke:a randomized con-trolled trial
Tingting YU ; Fuliang CAI ; Guihua MIAO ; Chen GU ; Yuan PENG
Chinese Journal of Rehabilitation Theory and Practice 2024;30(8):965-971
Objective To evaluate the effect of structured therapy and education based on personal strength on ischemic stroke. Methods From March,2021 to September,2023,a total of 114 patients with ischemic stroke from the First People's Hos-pital of Kunshan were randomly divided into control group(n=57)and experimental group(n=57).The control group received routine medicine,rehabilitation training and standard health education,while the experimental group received routine medicine,rehabilitation training and structured therapy and education based on personal strength,for six weeks.They were compared with the scores of modified Rankin Scale(mRS),motor-evoked po-tential(MEP)latency and amplitude,modified Barthel Index and Self-Recovery Efficacy Scale score and recur-rence within three months after the start of the study.The scores of Morisky Medication Adherence Scale(MMAS)and Five Facet Mindfulness Questionaire(FFMQ)were also compared. Results After treatment,the score of mRS(t=5.002),MEP latency period(t=9.739)and amplitude(t=4.394),modi-fied Barthel Index(t=11.261),the score of Self-Recovery Efficacy Scale(Z=-2.638),and the scores of MMAS(t=19.521)and FFMQ(t=15.381)were better in the experimental group than in the control group(P<0.05). Conclusion Structured therapy and education based on personal strength could faciliate to improve the recovery and self-management of ischemic stroke patients.
10.Expert consensus on clinical application of 177Lu-prostate specific membrane antigen radio-ligand therapy in prostate cancer
Guobing LIU ; Weihai ZHUO ; Yushen GU ; Zhi YANG ; Yue CHEN ; Wei FAN ; Jianming GUO ; Jian TAN ; Xiaohua ZHU ; Li HUO ; Xiaoli LAN ; Biao LI ; Weibing MIAO ; Shaoli SONG ; Hao XU ; Rong TIAN ; Quanyong LUO ; Feng WANG ; Xuemei WANG ; Aimin YANG ; Dong DAI ; Zhiyong DENG ; Jinhua ZHAO ; Xiaoliang CHEN ; Yan FAN ; Zairong GAO ; Xingmin HAN ; Ningyi JIANG ; Anren KUANG ; Yansong LIN ; Fugeng LIU ; Cen LOU ; Xinhui SU ; Lijun TANG ; Hui WANG ; Xinlu WANG ; Fuzhou YANG ; Hui YANG ; Xinming ZHAO ; Bo YANG ; Xiaodong HUANG ; Jiliang CHEN ; Sijin LI ; Jing WANG ; Yaming LI ; Hongcheng SHI
Chinese Journal of Clinical Medicine 2024;31(5):844-850,封3
177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

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