1.Study of neuroprotective effect of nicotinamide riboside on EAE mice
Guoping XI ; Guobin SONG ; Yanhua LI ; Tao MENG ; Jiwei WANG ; Qin SU ; Siwei JIA ; Yi GUO ; Qing WANG ; Cungen MA
Chinese Journal of Immunology 2025;41(9):2049-2054
Objective:To investigate the neuroprotective effect of nicotinamide riboside(NR)on experimental autoimmune en-cephalomyelitis(EAE)mice.Methods:C57BL/6 female mice were induced by myelin oligodendrocyte glycoprotein(MOG35-55)to pro-duce EAE model and were randomly divided into EAE group and NR group.From day 3 to day 27 after immunization,each mouse in EAE group was given normal saline(200 μl/d)and each mouse in NR group was given NR(500 mg/kg,200 μl/d)by intragastric administration.Clinical score and body weight of mice in EAE group and NR group were recorded every day.On the 28th day after immunization,the spinal cord protein of mice in each group was extracted and the frozen sections of spinal cord of mice in each group were prepared.LFB staining was used to detect demyelination,immunofluorescence staining was used to detect the expression of MAP-2 and the number of positive cells of NeuN,BDNF,GDNF,NGF and NT-3,and Western blot was used to detect the expressions of BDNF,GDNF,NGF and NT-3 of spinal cord.Results:Compared with EAE group,NR significantly delayed the onset time of EAE mice(P<0.05),decreased clinical score(P<0.05),reduced weight loss,alleviated spinal cord demyelination(P<0.05),increased the expression of MAP-2(P<0.01)and the number of NeuN positive cells(P<0.01),and up-regulated the expressions of BDNF,GDNF,NGF and NT-3(P<0.05).Conclusion:NR shows a good neuroprotective effect on EAE mice.The mechanism may be related to NR significantly increasing the expression of spinal neurotrophic factors,improving the microenvironment of the central nervous sys-tem,nourishing nerves,promoting nerve repair and nerve growth,etc.
2.The value of bone marrow morphological minimal residual disease detection in the prognosis evaluation of elderly patients with multiple myeloma
Hong HUO ; Yantian ZHAO ; Jingchun ZHAI ; Zhiyao ZHANG ; Hong ZONG ; Guanfei ZHAO ; Guobin MA ; Sha LI ; Juan LYU
Chinese Journal of Geriatrics 2025;44(7):896-903
Objective:To investigate the relationship between the morphology of bone marrow plasma cells, the identification of M protein, and the detection of minimal residual disease(MRD)by flow cytometry in elderly patients with multiple myeloma(MM).Additionally, the impact on progression-free survival(PFS)is analyzed.Methods:A total of 60 elderly MM patients with bone marrow morphology reports and corresponding flow MRD detection, collected from February 1, 2017, to January 31, 2022, at Beijing Chaoyang Hospital Affiliated to Capital Medical University, were included in this study.We collected data on plasma cells from morphological examination and flow cytometry-based MRD detection. By combining these findings with M-protein identification results from 35 cases, we analyzed the correlations among these three parameters. Patients were stratified into two groups based on median values of: flow cytometry MRD(0.246% of nucleated cells), morphological plasma cell percentage(3.5%), and M-protein quantification(2.5 g/dl).This stratification enabled evaluation of their prognostic value for PFS.Results:A total of 60 elderly MM patients were enrolled, including 41 males with age of 65.0(63.0, 68.5)years and 19 females with age of 67.0(64.0, 72.0)years The morphology of bone marrow in 60 elderly patients with MM revealed 10 cases of primitive plasma cells(16.67%), 48 cases of immature plasma cells(80.00%), and 2 cases with no plasma cells(3.33%).A positive correlation was observed between the proportion of bone marrow plasma cells and the corresponding flow MRD in terms of both the proportion of nuclear cells and the proportion of plasma cells.Specifically, the proportion of the morphological protoplasma group showed a strong correlation with flow MRD(proportion of plasma cells)( r=0.82, P<0.01), while the proportion of the morphological immature plasma group exhibited moderate correlations with flow MRD(proportion of nuclear cells)( r=0.74, P<0.05)and flow MRD(proportion of plasma cells)( r=0.70, P<0.01).No significant correlation was found between the type and quantity of M protein and flow MRD( P>0.05).The PFS time for the flow MRD ≥0.246%(nucleated cells)group was shorter than that of the<0.246% group( P<0.05).There was no significant difference in PFS between the groups with plasma cell ratios ≥3.5% and<3.5%( P=0.15).Additionally, no significant difference in PFS was observed between patients with M protein quantitation ≥2.5 g/dl and those with M protein quantitation<2.5 g/dl( P=0.94). Conclusions:The proportion of bone marrow plasma cells correlates with flow MRD in elderly patients with MM, and a high MRD load indicates a poor prognosis.However, no significant correlation was found between M protein levels and flow MRD or PFS.Clinical attention should focus on the dynamic monitoring of plasma cell morphology and flow MRD.Nevertheless, the morphological detection of plasma cells remains crucial for auxiliary diagnosis due to its intuitiveness, cost-effectiveness, and broad applicability.
3.CT signs and AI parameters predict colorectal cancer neoadjuvant chemotherapy efficacy
Guobin LAN ; Chuang LIU ; Hao WANG ; Hongyu MA ; Zeliang LI ; Wen CHEN ; Wenqiang ZHANG
Chinese Journal of Radiological Health 2025;34(5):713-719
Objective To explore the value of CT signs and quantitative parameters of artificial intelligence (AI) in predicting the efficacy of neoadjuvant chemotherapy for colorectal cancer. Methods A total of 349 colorectal cancer patients who received neoadjuvant chemotherapy at Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine in Hebei Province from January 2022 to January 2025 were selected and and divided into the effective group (n = 267) and the ineffective group (n = 82) according to the evaluation criteria for the efficacy of solid tumors. Conduct a CT examination and extract AI quantitative parameters from the CT images based on the lesion. The data were analyzed using SPSS21.0 software, Logistic regression was used to screen the influencing factors of ineffective neoadjuvant chemotherapy in patients with colorectal cancer, and separate and combined models of CT signs and AI quantitative parameters were established. The predictive effect of the model was verified by using the ROC curve, calibration curve and decision curve. Results Compared with the effective group, the proportion of regular tumor morphology and the proportion of non-enlarged lymph nodesin the ineffective group were smaller. The tumor volume, peak value and entropy value were larger (P < 0.05). Multivariable analysis showed that irregular shape (OR= 4.216), presence of lymph node enlargement (OR = 8.998), larger tumor volume (OR = 1.109), higher average CT value (OR = 1.120), elevated peak value (OR = 2.528), and increased entropy value (OR = 1.390) were independent risk factors for ineffective neoadjuvant chemotherapy in colorectal cancer (P < 0.05). The areas under the ROC curves of the individual and combined models of CT signs and AI quantitative parameters were 0.777, 0.818, and 0.877, respectively(P < 0.05). The calibration curve showed a Brier score of 0.091. The decision curve showed that the threshold was between 0.10 and 0.85, and the combined model achieved a relatively high net clinical benefit. Conclusion CT signs combined with AI quantitative parameters has a predictive value for the efficacy of neoadjuvant chemotherapy in colorectal cancer. To provide evidence-based basis for clinical screening of the population benefiting from chemotherapy and optimization of treatment strategies.
4.Study of neuroprotective effect of nicotinamide riboside on EAE mice
Guoping XI ; Guobin SONG ; Yanhua LI ; Tao MENG ; Jiwei WANG ; Qin SU ; Siwei JIA ; Yi GUO ; Qing WANG ; Cungen MA
Chinese Journal of Immunology 2025;41(9):2049-2054
Objective:To investigate the neuroprotective effect of nicotinamide riboside(NR)on experimental autoimmune en-cephalomyelitis(EAE)mice.Methods:C57BL/6 female mice were induced by myelin oligodendrocyte glycoprotein(MOG35-55)to pro-duce EAE model and were randomly divided into EAE group and NR group.From day 3 to day 27 after immunization,each mouse in EAE group was given normal saline(200 μl/d)and each mouse in NR group was given NR(500 mg/kg,200 μl/d)by intragastric administration.Clinical score and body weight of mice in EAE group and NR group were recorded every day.On the 28th day after immunization,the spinal cord protein of mice in each group was extracted and the frozen sections of spinal cord of mice in each group were prepared.LFB staining was used to detect demyelination,immunofluorescence staining was used to detect the expression of MAP-2 and the number of positive cells of NeuN,BDNF,GDNF,NGF and NT-3,and Western blot was used to detect the expressions of BDNF,GDNF,NGF and NT-3 of spinal cord.Results:Compared with EAE group,NR significantly delayed the onset time of EAE mice(P<0.05),decreased clinical score(P<0.05),reduced weight loss,alleviated spinal cord demyelination(P<0.05),increased the expression of MAP-2(P<0.01)and the number of NeuN positive cells(P<0.01),and up-regulated the expressions of BDNF,GDNF,NGF and NT-3(P<0.05).Conclusion:NR shows a good neuroprotective effect on EAE mice.The mechanism may be related to NR significantly increasing the expression of spinal neurotrophic factors,improving the microenvironment of the central nervous sys-tem,nourishing nerves,promoting nerve repair and nerve growth,etc.
5.The value of bone marrow morphological minimal residual disease detection in the prognosis evaluation of elderly patients with multiple myeloma
Hong HUO ; Yantian ZHAO ; Jingchun ZHAI ; Zhiyao ZHANG ; Hong ZONG ; Guanfei ZHAO ; Guobin MA ; Sha LI ; Juan LYU
Chinese Journal of Geriatrics 2025;44(7):896-903
Objective:To investigate the relationship between the morphology of bone marrow plasma cells, the identification of M protein, and the detection of minimal residual disease(MRD)by flow cytometry in elderly patients with multiple myeloma(MM).Additionally, the impact on progression-free survival(PFS)is analyzed.Methods:A total of 60 elderly MM patients with bone marrow morphology reports and corresponding flow MRD detection, collected from February 1, 2017, to January 31, 2022, at Beijing Chaoyang Hospital Affiliated to Capital Medical University, were included in this study.We collected data on plasma cells from morphological examination and flow cytometry-based MRD detection. By combining these findings with M-protein identification results from 35 cases, we analyzed the correlations among these three parameters. Patients were stratified into two groups based on median values of: flow cytometry MRD(0.246% of nucleated cells), morphological plasma cell percentage(3.5%), and M-protein quantification(2.5 g/dl).This stratification enabled evaluation of their prognostic value for PFS.Results:A total of 60 elderly MM patients were enrolled, including 41 males with age of 65.0(63.0, 68.5)years and 19 females with age of 67.0(64.0, 72.0)years The morphology of bone marrow in 60 elderly patients with MM revealed 10 cases of primitive plasma cells(16.67%), 48 cases of immature plasma cells(80.00%), and 2 cases with no plasma cells(3.33%).A positive correlation was observed between the proportion of bone marrow plasma cells and the corresponding flow MRD in terms of both the proportion of nuclear cells and the proportion of plasma cells.Specifically, the proportion of the morphological protoplasma group showed a strong correlation with flow MRD(proportion of plasma cells)( r=0.82, P<0.01), while the proportion of the morphological immature plasma group exhibited moderate correlations with flow MRD(proportion of nuclear cells)( r=0.74, P<0.05)and flow MRD(proportion of plasma cells)( r=0.70, P<0.01).No significant correlation was found between the type and quantity of M protein and flow MRD( P>0.05).The PFS time for the flow MRD ≥0.246%(nucleated cells)group was shorter than that of the<0.246% group( P<0.05).There was no significant difference in PFS between the groups with plasma cell ratios ≥3.5% and<3.5%( P=0.15).Additionally, no significant difference in PFS was observed between patients with M protein quantitation ≥2.5 g/dl and those with M protein quantitation<2.5 g/dl( P=0.94). Conclusions:The proportion of bone marrow plasma cells correlates with flow MRD in elderly patients with MM, and a high MRD load indicates a poor prognosis.However, no significant correlation was found between M protein levels and flow MRD or PFS.Clinical attention should focus on the dynamic monitoring of plasma cell morphology and flow MRD.Nevertheless, the morphological detection of plasma cells remains crucial for auxiliary diagnosis due to its intuitiveness, cost-effectiveness, and broad applicability.
6.Peripheral anti-inflammatory effect of nicotinamide riboside in EAE mice
Guoping XI ; Guobin SONG ; Peijun ZHANG ; Tao MENG ; Wenyue WEI ; Suyao LI ; Na LI ; Mengdi LI ; Qing WANG ; Cungen MA
Immunological Journal 2024;40(2):122-130
The study was designed to investigate the peripheral anti-inflammatory effect of nicotinamide riboside(NR)in experimental autoimmune encephalomyelitis(EAE)mice and its mechanisms.Female C57BL/6 mice were induced by MOG35-55 to prepare EAE model,which then randomly divided into EAE model group and NR treatment group.Mice in EAE model group were given normal saline at a dose of 200 μl/d and mice in NR treatment group were given NR at a dose of 500 mg/kg(200 μl/d)by intragastric administration.Clinical score and body weight of mice in each group were observed and recorded.After mice were sacrificed on the 28th day after immunization,frozen sections of spleen and spinal cord were prepared and proteins of spinal cord were extracted.HE staining was used to detect peripheral inflammatory cells infiltrating spinal cord;immunofluorescence staining was used to detect the number of CD4+T cells and CD68+macrophages in spinal cord of mice;Western blot was used to detect the expression of IFN-γ and IL-1β in spinal cord of mice;immunofluorescence staining was used to detect the number of ROCK-Ⅰ+cells,TLR4+cells,p-NF-κB+cells,TNF-α+cells,IL-1β+cells,IFN-γ+cells,IL-6+cells,IL-10+cells,IL-17+cells,iNOS+cells and Arg-1+cells in spleen of mice.Data showed that compared with EAE model group,NR significantly delayed the onset time of EAE mice(P<0.05),decreased clinical score(P<0.05 or P<0.01),alleviated weight loss,prevented peripheral inflammatory cells from infiltrating spinal cord,decreased the number of CD4+T cells and CD68+macrophages in spinal cord(P<0.01),down-regulated the expression of IFN-γ and IL-1β of spinal cord(P<0.05),inhibited the expression of ROCK-Ⅰ,TLR4 and p-NF-κB in spleen of mice(P<0.01),reduced the secretion of IFN-γ,iNOS,IL-6 and other pro-inflammatory factors in spleen(P<0.05 or P<0.01),and increased the secretion of anti-inflammatory factors Arg-1 and IL-10 in spleen(P<0.05 or P<0.01).In conclusion,NR can effectively alleviate the clinical symptoms of EAE mice and significantly reduce inflammatory response of peripheral and central nervous system,and its mechanism may be related to the inhibition of Rho/ROCK signaling pathway and TLR4/NF-κB signaling pathway in spleen of EAE mice.
7.Mitochondrial calcium uniporter and ischemia reperfusion injury
Jiabao GUO ; Tingting MA ; Huan ZHENG ; Guobin ZHANG ; Jinkun XI
Clinical Medicine of China 2024;40(5):379-384
Ischemia reperfusion (I/R) injury is caused by ischemic shock, cardiac arrest, resection and transplantation, and its mechanism is closely related to calcium overload. Mitochondrial calcium uniporter (MCU) is a highly selective calcium channel located in the mitochondrial inner membrane (IMM), mediating calcium ions into the mitochondrial matrix. The MCU complex with the MCU as the core plays an important role in maintaining calcium ion homeostasis and alleviating I/R injury in the heart, kidney, brain, liver and other organs. The mitochondria associated endoplasmic reticulum membranes (MAMs) is a key protein in this process.
8.Diagnostic and prognostic value of bone marrow plasma cell morphology in patients with plasma cell myeloma
Juan LYU ; Zhongfei TAO ; Sha LI ; Hong ZONG ; Hong HUO ; Guobin MA ; Lu MA ; Yantian ZHAO
Chinese Journal of Laboratory Medicine 2023;46(5):473-482
Objective:To investigate the value of bone marrow plasma cell morphology in the diagnosis and prognosis of plasma cell myeloma (PCM).Method:Observational study.Collect the bone marrow morphology image reports and corresponding monoclonal protein (M protein) identification results of 1071 patients [629 males and 442 females, Median age 62 (29, 93) years] diagnosed with PCM in the outpatient and inpatient departments of Beijing Chaoyang Hospital affiliated to Capital Medical University from January 1, 2017 to February 28, 2022. Combined with Durie‐Salmon(DS) and International Staging System (ISS) of 427 patients diagnosed with PCM and overall survival time (OS) of 436, summarize the relevant plasma cell morphological characteristics. Statistical methods include chi-square test, Kruskal-Walls test, Spearman correlation analysis and Kaplan-Meier survival analysis.Result:The bone marrow morphology reports showed that the typical morphological features of peripheral blood in 573 patients with PCM included plasma cells (40.84%), immature granulocytes (30.89%), rouleaux formation in erythrocytes (68.94%) and nucleated red blood cells (8.55%). The types of bone marrow plasma cells in 1 071 patients diagnosed with PCM included 372 (34.73%) plasmablasts, 674 (62.93%)immature plasma cells, and 25 (2.34%) mature plasma cells. There is a significant positive correlation between the number of bone marrow plasma cells (proportion of nuclear cells) and the concentration of IgG and IgA type, from M protein identification( r=0.55, r=0.60, P<0.01). The proportions of M protein types in 1 071 patients with PCM from high to low were IgG (45.75%), IgA (23.53%), light chain (19.61%), IgD (4.76%), non-secretory (4.3%), biclonal (1.78%), IgE (0.19%), IgM (0.08%). The typical characteristics of the bone marrow plasma cells in various M protein types included clustered distribution, different cell body sizes, inclusions in the cytoplasm, binuclear, polynuclear, and abnormal nuclear. The proportion of plasmablasts in DSⅢ stage was 44.81% (164/366), higher than 21.57% (11/51) in DSⅡstage, and the difference was statistically significant(χ 2=10.2, P<0.05). There was a significant positive correlation between the number of bone marrow plasma cells and DS and ISS stages( r=0. 0.23, r=0.30, P<0.01). The median OS of the PCM patients in the plasmablasts group was significantly shorter than that in the immature plasma cells group [56.0 (23.0, 101.8) months vs 75.9(31.6, 121.5) months, HR=1.42,95% CI 1.05-1.91, P=0.02]. The median OS of the PCM patients in the group of tumor plasma cells burden≥37.5% was shorter than that of the tumor plasma cells burden<37.5% [75.9 (21.4, 122.6)months vs 81.3 (36.6, 108) months, HR=1.54,95% CI 1.14-2.07, P<0.05]. Conclusion:The morphology and tumor burden of bone marrow plasma cells provide an important basis for the diagnosis of PCM and can be used as a prognostic indicator for patients with PCM.
9.A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs.
Yao Dong DING ; Yang ZHANG ; Lan Qing HE ; Meng FU ; Xin ZHAO ; Lu Ke HUANG ; Bin WANG ; Yu Zhong CHEN ; Zhao Hui WANG ; Zhi Qiang MA ; Yong ZENG
Chinese Journal of Cardiology 2022;50(12):1201-1206
Objective: To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Methods: Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical examination centers in China were included in this retrospective study. Two radiologists, who were not aware of the study design, independently evaluated the coronary angiography images of each subject to make CHD diagnosis. A deep learning model using convolutional neural networks (CNN) was used to label the fundus images according to the presence or absence of CHD, and the model was proportionally divided into training and test sets for model training. The prediction performance of the model was evaluated in the test set using monocular and binocular fundus images respectively. Prediction efficacy of the algorithm for cardiovascular risk factors (e.g., age, systolic blood pressure, gender) and coronary events were evaluated by regression analysis using the area under the receiver operating characteristic curve (AUC) and R2 correlation coefficient. Results: The study retrospectively collected 51 765 fundus images from 25 222 subjects, including 10 255 patients with CHD, and there were 14 419 male subjects in this cohort. Of these, 46 603 fundus images from 22 701 subjects were included in the training set and 5 162 fundus images from 2 521 subjects were included in the test set. In the test set, the deep learning model could accurately predict patients' age with an R2 value of 0.931 (95%CI 0.929-0.933) for monocular photos and 0.938 (95%CI 0.936-0.940) for binocular photos. The AUC values for sex identification from single eye and binocular retinal fundus images were 0.983 (95%CI 0.982-0.984) and 0.988 (95%CI 0.987-0.989), respectively. The AUC value of the model was 0.876 (95%CI 0.874-0.877) with either monocular fundus photographs and AUC value was 0.885 (95%CI 0.884-0.888) with binocular fundus photographs to predict CHD, the sensitivity of the model was 0.894 and specificity was 0.755 with accuracy of 0.714 using binocular fundus photographs for the prediction of CHD. Conclusion: The deep learning model based on fundus photographs performs well in identifying coronary heart disease and assessing related risk factors such as age and sex.
Humans
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Male
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Retrospective Studies
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Deep Learning
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Fundus Oculi
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ROC Curve
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Algorithms
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Risk Factors
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Coronary Disease/diagnostic imaging*
10.Baseline characteristics of the Chinese health quantitative CT big data program in 2018—2019
Kaiping ZHAO ; Jian ZHAI ; Limei RAN ; Yongli LI ; Shuang CHEN ; Yan WU ; Guobin HONG ; Yong LU ; Yuqin ZHANG ; Xiao MA ; Jing LU ; Xigang XIAO ; Xiangyang GONG ; Zehong YANG ; Wei CHEN ; Lü YINGRU ; Jianbo GAO ; Shaolin LI ; Yuehua LI ; Xiaojuan ZHA ; Zhiping GUO ; Qiang ZENG ; Zhenlin LI ; Jing WU ; Xiaoguang CHENG
Chinese Journal of Health Management 2022;16(9):596-603
Objective:To describe the baseline characteristics of the subjects enrolled in the China Quantitative CT (QCT) big data program in 2018—2019.Methods:Based on baseline data from the Chinese health big data project from January 2018 to December 2019 from the eligible enrolled population, measurements of bone mineral density (BMD) and visceral adipose tissue (VAT) were performed using Mindways′ QCT Pro Model 4 system. The baseline data of age, gender, regional distribution, height, weight, abdominal circumference, blood pressure, blood routine and blood biochemical tests were analyzed. And the single factor analysis of variance (ANOVA) was used to check the age related trend of BMD and VAT in both genders.Results:After screening the inclusion exclusion criteria and outliers of the main indicators, 86 113 people were enrolled in the project. The enrollment rate was 92.47%, including 35 431 (41.1%) women and 50 682 (58.9%) men, and the ratio of men to women was 1.43. The mean age was (50.3±12.7) years in all the subjects, and it was (50.2±12.8) years and (50.4±12.5) years in men and women, respectively, and there was no statistical difference between the two genders ( P>0.05). Total of 43 833 people were enrolled in east China, it was the largest group by region (50.90%), it was followed by central China (16 434 people, 19.08%), and the number of people enrolled in Northeast China was the lowest (2 914 people, 3.38%). The rate of completing of health information indicators related to the main outcome of the study were all above 70%, and there were significant differences between men and women (all P<0.05). The mean BMD was (139.33±46.76) mg/cm 3 in women, (135.90±36.48) mg/cm 3 in men, which showed a decreasing trend with age in both gender (both P<0.001); the mean intra-abdominal fat area was (116.39±56.23) cm 2 in women, (191.67±77.07) cm 2 in men, and there was an increasing trend with age in both men and women (both P<0.001). Conclusions:There are gender differences in BMD and VAT measured by QCT with different age tendency, and there are gender differences in health information index. Regional factors should also be taken into account for regional differences in the inclusion of data.

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