1.Application value of machine learning models based on CT radiomics for assessing split renal function
Junjie ZOU ; Ruidong LI ; Hu SONG ; Feng WANG ; Ning DING ; Kongyuan ZHANG
Chinese Journal of Radiological Health 2025;34(1):108-113
Objective Based on the radiomics features extracted from the unenhanced CT images of the lower abdomen, a variety of machine learning models were constructed to explore their application value in the assessment of split renal function. Methods A retrospective analysis was conducted on the unenhanced CT images from 240 single kidneys in patients with clinically suspected renal dysfunction. Based on the results of single-photon emission computed tomography renal dynamic imaging, the cases were classified into the normal glomerular filtration rate group (n=118) and the decreased glomerular filtration rate group (n=122). The region of interest was outlined on the unenhanced CT images and the radiomics features were extracted. The features were selected by correlation analysis and least absolute shrinkage and selection operator, and the machine learning models were constructed based on the algorithms of decision tree, support vector machine, random forest, logistic regression, and extreme gradient boosting. Area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were calculated to compare the performance of different models. Results Sixteen radiomics features were selected for constructing the machine learning models. The support vector machine model showed relatively high performance for the assessment of split renal function on the test set, with an area under the receiver operating characteristic curve value of 0.883 (95% confidence interval: 0.804-0.961), an accuracy of 0.778, a sensitivity of 0.811, and a specificity of 0.743. Conclusion The machine learning models constructed based on unenhanced CT radiomics can be used to preliminarily assess split renal function, which provides an innovative, convenient, and safe method for clinical diagnosis and has positive significance for treatment.
2.Risk factors and a prediction model for malnutrition after traumatic brain injury
Heping LI ; Zhanmin DING ; Xing ZHANG ; Xuanxuan ZHOU ; Shuya SONG ; Peng LIU ; Cuixia LAN ; Ning WANG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(11):1011-1016
Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.
3.Role of miR-130b-3p/USP47/NLRP3 inflammasome in airway remodeling in asthma
Chang-lin QUAN ; Zhi-guang WANG ; Qiao-yun BAI ; Ning-po DING ; Yi-lan SONG ; Guang-hai YAN
Chinese Pharmacological Bulletin 2025;41(8):1500-1508
Aim To investigate the role of miR-130b-3p in regulating the USP47/NLRP3 inflammasome in airway remodeling associated with asthma and to explore its potential therapeutic value in asthma treat-ment.Methods An OVA-induced asthma mouse mod-el was established,and intervention with miR-130b-3p agomir was performed.Histological staining,quantita-tive real-time PCR,Western blot,immunofluorescence and flow cytometry were used to analyze the effects of miR-130b-3p on the expression of USP47,NLRP3,and related inflammatory factors,as well as the inflamma-some activity.Results miR-130b-3p was significantly downregulated in asthmatic mice,and its intervention significantly inhibited airway epithelial damage,inflam-matory cell infiltration,and collagen deposition.Addi-tionally,miR-130b-3p targeted USP47 and indirectly suppressed NLRP3 expression,leading to reduced in-flammasome activity and alleviated asthma-related in-flammatory responses.Conclusion miR-130b-3p re-duces asthma-related inflammatory responses by down-regulating USP47 expression and indirectly inhibiting NLRP3 inflammasome activity.
4.Research progress of cooling therapy for heat stroke
Jin-Bao ZHAO ; Qian WANG ; Tian-Yu XIN ; Han-Ding MAO ; Ye TAO ; Bo NING ; Zhen-Zhen QIN ; Shu-Yuan LIU ; Qing SONG
Medical Journal of Chinese People's Liberation Army 2025;50(5):612-618
Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.
5.Dopamine receptor 3 knockout inhibits acquisition and recall of fear memory induced by electric shocks
Xiaoyan DING ; Zhiyuan WANG ; Ning WU ; Jin LI ; Rui SONG
Chinese Journal of Pharmacology and Toxicology 2025;39(2):81-88
OBJECTIVE To investigate the effect of dopamine receptor 3(D3R)on fear memory induced by intense electric shocks and the possible neurobiological mechanism.METHODS ① To prevent pain threshold differences from influencing the effect of intense electric shocks,wild-type(WT)and D3R knockout mice(D3R-/-)were used in the Hargreaves test to evaluate their basal pain threshold,with the paw withdrawal latency(PWL)as the observation index.② WT and D3R-/-mice were divided into control groups and model groups,respectively.On the training day(the first day,D 1),the model groups received inescapable electric shocks(1.5 mA,10 s,10 s interval,15 cycle)while the control groups did not.Contextual fear tests were conducted on D2,D7,D10,D14,and D16 after training,with the percentage of freezing time(FT)as the observation index to evaluate fear memory acquisition induced by contextual cues.On D17,after the model groups showed no more fear responses to contex-tual cues,they were re-stimulated with low-intensity current(0.5 mA,10 s,10 s interval,15 cycle)to evoke fear memory.The two control groups did not receive any shocks.Contextual fear tests were conducted on day 18,and the FT%of each group was observed to evaluate fear memory retrieval induced by contextual cues.③ Another cohort of WT and D3R-/-mice was used to further investigate the underlying neural mechanism,with the same grouping and treatment as in ②.Real-time dynamic changes in calcium signals of dopamine(DA)neurons in the ventral tegmental area(VTA)of WT and D3R-/-mice were detected using fiber photometry during electric shocks.The fluorescence area under the curve(AUC)was used as the indicator to quantify the excitability of DA neurons.RESULTS ① In the Hargreaves test,there was no significant difference in PWL between D3R-/-mice and WT mice,indi-cating the two genotype mice had no significant differences in the basal pain threshold.② Compared with the WT control group,the percentage of FT of the WT model group significantly increased on D2,D7,D10,and D14(P<0.05).Compared with the D3R-/-control group,the percentage of FT of the D3R-/-model group significantly increased only on D2 and D7(P<0.01).Meanwhile,the percentage of the FT of D3R-/-model group was significantly lower than in the WT control group on D2,D7,D10,and D14(P<0.05,P<0.01).During memory recall(D18),the percentage of FT of the WT model and D3R-/-model groups significantly increased compared to their respective control groups(P<0.01,P<0.05),while the percentage of FT of D3R-/-model mice was significantly lower than that of WT model mice(P<0.01).③ In the fiber photometry test,during the shock period,the calcium signals of DA neurons in the VTA of WT model and D3R-/-model mice rapidly increased within the first 2 s,and then gradually decreased between 2 to 10 s.The AUC within the 2 to 10 s interval was significantly lower in D3R-/-model mice compared to WT model mice(P<0.05),indicating that the excitability of DA neurons in the VTA of D3R-/-model mice was significantly lower than that of WT-model mice.CONCLUSION D3R knockout inhibits the acquisition and recall of long-term fear memory in mice,and its neurobiological mechanism may be related to the decreased excitability of DA neurons during electric shock.
6.Role of miR-130b-3p/USP47/NLRP3 inflammasome in airway remodeling in asthma
Chang-lin QUAN ; Zhi-guang WANG ; Qiao-yun BAI ; Ning-po DING ; Yi-lan SONG ; Guang-hai YAN
Chinese Pharmacological Bulletin 2025;41(8):1500-1508
Aim To investigate the role of miR-130b-3p in regulating the USP47/NLRP3 inflammasome in airway remodeling associated with asthma and to explore its potential therapeutic value in asthma treat-ment.Methods An OVA-induced asthma mouse mod-el was established,and intervention with miR-130b-3p agomir was performed.Histological staining,quantita-tive real-time PCR,Western blot,immunofluorescence and flow cytometry were used to analyze the effects of miR-130b-3p on the expression of USP47,NLRP3,and related inflammatory factors,as well as the inflamma-some activity.Results miR-130b-3p was significantly downregulated in asthmatic mice,and its intervention significantly inhibited airway epithelial damage,inflam-matory cell infiltration,and collagen deposition.Addi-tionally,miR-130b-3p targeted USP47 and indirectly suppressed NLRP3 expression,leading to reduced in-flammasome activity and alleviated asthma-related in-flammatory responses.Conclusion miR-130b-3p re-duces asthma-related inflammatory responses by down-regulating USP47 expression and indirectly inhibiting NLRP3 inflammasome activity.
7.Quantitative analysis of brain volume in children with autism spectrum disorder based on artificial intelligence automatic brain segmentation technology
Xiaowen XU ; Yang LI ; Ning DING ; Guifen ZHENG ; Tongtong WU ; Yang LI ; Shanshan SUN ; Xiufeng SONG
Chinese Journal of Applied Clinical Pediatrics 2025;40(1):50-55
Objective:To characterize the brain structure of Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to analyze the correlation between the characteristics of the brain structure and the degree of brain development.Methods:A case-control study.The data of 52 children who were diagnosed with ASD according to the diagnostic criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition of the United States at the Department of Psychology of Qingdao University Affiliated Women and Children′s Hospital from January 2023 to April 2024 were prospectively analyzed.Meanwhile, 48 gender- and age-matched typically developing (TD) children in Qingdao were also included.The three-dimensional T1 weighted imaging sequences of all patients were obtained using a GE 3.0T magnetic resonance imaging scanner.Automated brain segmentation techniques were used to obtain the standardized volumes of each brain structure (the ratio of the absolute volume of the brain structure to the whole brain volume).Two-independent-samples t and Mann-Whitney U tests were used to compare the standardized volumes of different brain regions between the 2 groups.Pearson and Spearman correlation analyses were used to depict the correlations between volume data of brain areas with significant differences and Gesell Developmental Scale scores. Results:Compared with those in the TD group, the volumes of the left grey matter[25.45%(0.70%) vs.25.16%(1.05%)], the right grey matter [(25.89±0.71)% vs.(25.51±0.73)%], the right lateral orbitofrontal cortex [(0.62±0.03)% vs.(0.59±0.05)%], the right medial orbitofrontal cortex[(0.48±0.04)% vs.(0.46±0.04)%], the right pars triangularis [(0.38±0.07)% vs.(0.35±0.05)%], the left hippocampus [0.22%(0.04%) vs.0.20%(0.02%)], the right hippocampus [0.23%(0.04%) vs.0.22%(0.02%)], the left parahippocampal gyrus [0.15%(0.03%) vs.0.14%(0.02%)], the right parahippocampal gyrus [(0.15±0.02)% vs.(0.14±0.02)%], the left fusiform gyrus [(0.82±0.08)% vs.(0.78±0.08)%], the right superior temporal gyrus [(0.96±0.10)% vs.(0.90±0.09)%], the left insular lobe [(0.54±0.03)% vs.(0.53±0.04)%], the right insular lobe [(0.55±0.03)% vs.(0.53±0.04)%], the right inferior parietal cortex [(1.40±0.16)% vs.(1.33±0.12)%], the right precuneus cortex [(0.99±0.09)% vs.(0.94±0.09)%], the right putamen [(0.37±0.04)% vs.(0.35±0.03)%], the left pallidum [(0.14±0.01)% vs.(0.13±0.01)%], the right pallidum [0.14%(0.02%) vs.0.13%(0.01%)], and the right thalamus [(0.51±0.04)% vs.(0.49±0.03)%] were significantly increased in the ASD group (all P<0.05).Nonetheless, the volumes of the left pericalcarine cortex [(0.19±0.04)% vs.(0.20±0.04)%] and the corpus callosum posterior region [0.05%(0.01%) vs.0.06%(0.01%)] in the ASD group were considerably smaller than those in the TD group (all P<0.05).Correlation analysis showed that the right thalamus volume was negatively correlated with the Gesell-adaptation development quotient in children with ASD ( r=-0.276, P=0.048).The volumes of the left fusiform gyrus and left pericalcarine cortex were negatively correlated with the Gesell-fine motor development quotient in children with ASD ( r=-0.290, P=0.037; r=-0.368, P=0.007). The right precuneus cortex volume was negatively correlated with the Gesell-personal and social competence development quotient in children with ASD ( r=-0.396, P=0.007). Conclusions:Children with ASD show abnormalities in the volumes of multiple brain regions, and some brain regions are related to the degree of brain development.Automatic brain segmentation technology based on artificial intelligence can rapidly and directly measure and display the volume of brain structures in both ASD and TD children.
8.Dopamine receptor 3 knockout inhibits acquisition and recall of fear memory induced by electric shocks
Xiaoyan DING ; Zhiyuan WANG ; Ning WU ; Jin LI ; Rui SONG
Chinese Journal of Pharmacology and Toxicology 2025;39(2):81-88
OBJECTIVE To investigate the effect of dopamine receptor 3(D3R)on fear memory induced by intense electric shocks and the possible neurobiological mechanism.METHODS ① To prevent pain threshold differences from influencing the effect of intense electric shocks,wild-type(WT)and D3R knockout mice(D3R-/-)were used in the Hargreaves test to evaluate their basal pain threshold,with the paw withdrawal latency(PWL)as the observation index.② WT and D3R-/-mice were divided into control groups and model groups,respectively.On the training day(the first day,D 1),the model groups received inescapable electric shocks(1.5 mA,10 s,10 s interval,15 cycle)while the control groups did not.Contextual fear tests were conducted on D2,D7,D10,D14,and D16 after training,with the percentage of freezing time(FT)as the observation index to evaluate fear memory acquisition induced by contextual cues.On D17,after the model groups showed no more fear responses to contex-tual cues,they were re-stimulated with low-intensity current(0.5 mA,10 s,10 s interval,15 cycle)to evoke fear memory.The two control groups did not receive any shocks.Contextual fear tests were conducted on day 18,and the FT%of each group was observed to evaluate fear memory retrieval induced by contextual cues.③ Another cohort of WT and D3R-/-mice was used to further investigate the underlying neural mechanism,with the same grouping and treatment as in ②.Real-time dynamic changes in calcium signals of dopamine(DA)neurons in the ventral tegmental area(VTA)of WT and D3R-/-mice were detected using fiber photometry during electric shocks.The fluorescence area under the curve(AUC)was used as the indicator to quantify the excitability of DA neurons.RESULTS ① In the Hargreaves test,there was no significant difference in PWL between D3R-/-mice and WT mice,indi-cating the two genotype mice had no significant differences in the basal pain threshold.② Compared with the WT control group,the percentage of FT of the WT model group significantly increased on D2,D7,D10,and D14(P<0.05).Compared with the D3R-/-control group,the percentage of FT of the D3R-/-model group significantly increased only on D2 and D7(P<0.01).Meanwhile,the percentage of the FT of D3R-/-model group was significantly lower than in the WT control group on D2,D7,D10,and D14(P<0.05,P<0.01).During memory recall(D18),the percentage of FT of the WT model and D3R-/-model groups significantly increased compared to their respective control groups(P<0.01,P<0.05),while the percentage of FT of D3R-/-model mice was significantly lower than that of WT model mice(P<0.01).③ In the fiber photometry test,during the shock period,the calcium signals of DA neurons in the VTA of WT model and D3R-/-model mice rapidly increased within the first 2 s,and then gradually decreased between 2 to 10 s.The AUC within the 2 to 10 s interval was significantly lower in D3R-/-model mice compared to WT model mice(P<0.05),indicating that the excitability of DA neurons in the VTA of D3R-/-model mice was significantly lower than that of WT-model mice.CONCLUSION D3R knockout inhibits the acquisition and recall of long-term fear memory in mice,and its neurobiological mechanism may be related to the decreased excitability of DA neurons during electric shock.
9.Quantitative analysis of brain volume in children with autism spectrum disorder based on artificial intelligence automatic brain segmentation technology
Xiaowen XU ; Yang LI ; Ning DING ; Guifen ZHENG ; Tongtong WU ; Yang LI ; Shanshan SUN ; Xiufeng SONG
Chinese Journal of Applied Clinical Pediatrics 2025;40(1):50-55
Objective:To characterize the brain structure of Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to analyze the correlation between the characteristics of the brain structure and the degree of brain development.Methods:A case-control study.The data of 52 children who were diagnosed with ASD according to the diagnostic criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition of the United States at the Department of Psychology of Qingdao University Affiliated Women and Children′s Hospital from January 2023 to April 2024 were prospectively analyzed.Meanwhile, 48 gender- and age-matched typically developing (TD) children in Qingdao were also included.The three-dimensional T1 weighted imaging sequences of all patients were obtained using a GE 3.0T magnetic resonance imaging scanner.Automated brain segmentation techniques were used to obtain the standardized volumes of each brain structure (the ratio of the absolute volume of the brain structure to the whole brain volume).Two-independent-samples t and Mann-Whitney U tests were used to compare the standardized volumes of different brain regions between the 2 groups.Pearson and Spearman correlation analyses were used to depict the correlations between volume data of brain areas with significant differences and Gesell Developmental Scale scores. Results:Compared with those in the TD group, the volumes of the left grey matter[25.45%(0.70%) vs.25.16%(1.05%)], the right grey matter [(25.89±0.71)% vs.(25.51±0.73)%], the right lateral orbitofrontal cortex [(0.62±0.03)% vs.(0.59±0.05)%], the right medial orbitofrontal cortex[(0.48±0.04)% vs.(0.46±0.04)%], the right pars triangularis [(0.38±0.07)% vs.(0.35±0.05)%], the left hippocampus [0.22%(0.04%) vs.0.20%(0.02%)], the right hippocampus [0.23%(0.04%) vs.0.22%(0.02%)], the left parahippocampal gyrus [0.15%(0.03%) vs.0.14%(0.02%)], the right parahippocampal gyrus [(0.15±0.02)% vs.(0.14±0.02)%], the left fusiform gyrus [(0.82±0.08)% vs.(0.78±0.08)%], the right superior temporal gyrus [(0.96±0.10)% vs.(0.90±0.09)%], the left insular lobe [(0.54±0.03)% vs.(0.53±0.04)%], the right insular lobe [(0.55±0.03)% vs.(0.53±0.04)%], the right inferior parietal cortex [(1.40±0.16)% vs.(1.33±0.12)%], the right precuneus cortex [(0.99±0.09)% vs.(0.94±0.09)%], the right putamen [(0.37±0.04)% vs.(0.35±0.03)%], the left pallidum [(0.14±0.01)% vs.(0.13±0.01)%], the right pallidum [0.14%(0.02%) vs.0.13%(0.01%)], and the right thalamus [(0.51±0.04)% vs.(0.49±0.03)%] were significantly increased in the ASD group (all P<0.05).Nonetheless, the volumes of the left pericalcarine cortex [(0.19±0.04)% vs.(0.20±0.04)%] and the corpus callosum posterior region [0.05%(0.01%) vs.0.06%(0.01%)] in the ASD group were considerably smaller than those in the TD group (all P<0.05).Correlation analysis showed that the right thalamus volume was negatively correlated with the Gesell-adaptation development quotient in children with ASD ( r=-0.276, P=0.048).The volumes of the left fusiform gyrus and left pericalcarine cortex were negatively correlated with the Gesell-fine motor development quotient in children with ASD ( r=-0.290, P=0.037; r=-0.368, P=0.007). The right precuneus cortex volume was negatively correlated with the Gesell-personal and social competence development quotient in children with ASD ( r=-0.396, P=0.007). Conclusions:Children with ASD show abnormalities in the volumes of multiple brain regions, and some brain regions are related to the degree of brain development.Automatic brain segmentation technology based on artificial intelligence can rapidly and directly measure and display the volume of brain structures in both ASD and TD children.
10.Risk factors and a prediction model for malnutrition after traumatic brain injury
Heping LI ; Zhanmin DING ; Xing ZHANG ; Xuanxuan ZHOU ; Shuya SONG ; Peng LIU ; Cuixia LAN ; Ning WANG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(11):1011-1016
Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.

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