1.EXPRESSION PROFILES OF CARBOHYDRATE METABOLISM-ASSOCIATED GENES IN RAT LIVER REGENERATION
Cunshuan XU ; Xiaoguang CHEN ; Panfeng LIU ; Huaming DONG
Acta Anatomica Sinica 1955;0(03):-
Objective To elucidate the action of carbohydrates metabolism-associated genes on rat liver regeneration(LR). Methods We obtained the above genes through collecting website data and retrieving related articles,and detected their expression changes in rat LR with Rat Genome 230 2.0 array,then determined LR-associated genes by comparison of gene expression discrepancy between partial hepatectomy(PH) group and sham operation(SO) group. Results 118 carbohydrates metabolism genes were proved to be LR-associated.Number of the initial and total expressing genes occurring in forepart(0.5-4 hours after PH),prophase(6-12 hours after PH),metaphase(16-66 hours after PH) and anaphase(72-168 hours after PH),were 33,6,68,7 and 68,44,210,83,respectively,demonstrating that expression of these genes were triggered mainly at the initial stage of LR,and functioned in different phases.The number of their up-regulation and down-regulation was 205 and 200,and their expression patterns were classified into 12 types,implying that the cellular Carbohydrate metabolism during LR were characterized by diversity and complication.Monosaccharides and glycogen metabolism-associated genes,glycoprotein and glycosphingolipid(mainly gangliosides) biosynthesis-associated genes were up-regulated almost in the whole LR.In contrast,oligosaccharides and glycosaminoglycans biosynthesisassociated genes,glycoprotein and glycosphingolipid degradation-associated genes were down regulated.Conclusion Liver regeneration was closely related to carbohydrate metabolism.
2. Role of whole-body diffusion weighted imaging (WB-DWI) in the diagnosis and monitoring of newly diagnosed multiple myeloma
Panfeng WANG ; Yongchao LI ; Yang XU ; Ximing WANG ; Liang GUO ; Chengcheng FU
Chinese Journal of Hematology 2017;38(2):129-133
Objective:
To explore the practical value of whole-body diffusion weighted imaging (WB-DWI) in the diagnosis and monitoring of newly diagnosed multiple myeloma (MM) patients.
Methods:
The clinical data of 107 newly diagnosed MM patients at hematology department of the first affiliated hospital of Soochow’s University from September 2012 to January 2016 were retrospectively analyzed. The results of all the 60 patients who were performed WB-DWI before treatment were analyzed. And the role of WB-DWI in the diagnosis and monitoring MM was discussed.
Results:
Of 60 patients, 57 were found to have more or less abnormal foci of osteoclasia by WB-DWI with the positive rate of 95.0% (57/60) . Myeloma related bone lesions occurred predominantly in the axial skeleton, which were commonly seen in ribs, spines and pelvis. There were 96.5% (55/57) patients who had osteolytic rib lesions. And the ribs were the most vulnerable organs. Thirteen patients who had no osteoclasia by computerized tomography (CT) examination were detected abnormal limited diffuse lesions by WB-DWI. Eight patients underwent more than one follow-up WB-DWI. The mean apparent diffusion coefficient (ADC) values of the maximal lesions from all eight patients before and after treatment were 0.984×10-3mm2/s and 1.142×10-3mm2/s, respectively. They were both higher than the normal range [ (0.516±0.180) ×10-3mm2/s]. Mean ADC values of the maximal lesions after treatment were higher than that before treatment. The results of WB-DWI after the induction chemotherapy were consistent with clinical therapeutic effect.
Conclusions
WB-DWI has an important value in the diagnosis and monitoring of newly diagnosed MM. It has higher sensitivity than than that of CT. The results of WB-DWI after induction therapy has a nice correlation with treatment effect and it could monitor the disease.
3.Independent predictors and prediction model of malignant micro-sized solitary pulmonary nodules
Ying ZHU ; Panfeng XU ; Yake YAO ; Jianfang PAN ; Jianying ZHOU
Chinese Journal of Clinical Oncology 2018;45(10):497-502
Objective:To evaluate the clinical factors affecting the probability of malignant micro-sized (≤10 mm) solitary pulmonary nodules (≤10 mm, micro-sized SPN), and established a clinical prediction model. Methods:Medical records from 102 patients with a pathological diagnosis of micro-sized SPN (Group A), established between June 2012 and March 2014, were reviewed. Clinical data were collected to evaluate the independent predictors of malignant micro-sized SPN using single factor analysis and Logistic regression analysis. A clinical prediction model was subsequently created. Receiver-operating characteristic (ROC) curves were constructed using the prediction model. Between January 2015 and August 2017, data from an additional 10 patients enrolled from January 2015 to August 2017 from Jinhua Guangfu Hospital (Group B) with a pathological y diagnosed micro-sized SPN were used to validate this clinical prediction model. The model was also compared with the Mayo Clinic Model. Results:Median age of 102 patients (Group A) was 55.31±10.77 years old. There were 75.5%malignant nodules and 24.5%benign ones. Logistic regression analysis identified six clinical characteristics (no symptoms, upper lobe, diameter>5 mm, no clear border, not irregular round, no calcification) as independent predictors of malignancy in patients with micro-sized SPN. The area under the ROC curve for our model was 0.922 (95%CI:0.857-0.986). In our model, the diagnosis sensitivity and specificity were 88.3%and 84.0%, respectively. The test power of the model was better compared with the Mayo Clinic Model. Conclusions:In this study, we had found the independent predictors of malignant micro-sized SPN, and developed a prediction model that could accurately identify malignant micro-sized SPN in patients.
4.Feasibility study for calculating size-specific dose estimates based on weight and body mass index in CT abdomen-pelvic examination of adult population
Jian XU ; Xiangquan WANG ; Panfeng YANG ; Yelei XIE ; Kuangnan LUO ; Dewang MAO
Chinese Journal of Radiological Medicine and Protection 2020;40(7):549-553
Objective:To explore the feasibility for taking weight and body mass index (BMI) to calculate the size-specific dose estimate (SSDE) in abdomen-pelvis CT examination.Methods:512 adult patients undergoing abdomen-pelvis CT examination were retrospectively analyzed. The in-house software based on MATLAB platform were used to calculate automatically water equivalent diameter ( dw), size-dependent conversion factor ( f), SSDE, together with their respective averaged values. The correlations between age, height, weight and BMI with dw were calculated by using Spearman correlation analysis. Two regression equations were established to calculate the SSDE (SSDE weight, SSDE BMI), one for the correlation of weight with dw based on first half of these cases and the other for that between BMI with dw based on another half as the cases to be verified. With reference of the SSDE derived from the in-house software, the averaged relative differences and root-mean-square errors in SSDE weightand SSDE BMI were calculated, respectively. Results:No statistically significant correlation between age and d w ( P>0.05) was shown, but weak correlation between height and dw( r=0.260, P<0.05), strong correlation between either weight or BMI with dw( r=0.879, 0.851, P<0.05). Two regression equations were described as dw=13.808+ 0.184×weight, dw=11.142+ 0.618×BMI. The mean SSDE, SSDE weight and SSDE BMI for the verified patients were (13.55±1.66) mGy, (13.84±2.03) mGy and (13.83±2.02) mGy, respectively. As compared to actual SSDE, the averaged relative differences in SSDE weight and SSDE BMI were 1.97% and 1.87%; 0.38% and 2.75% for male patients; 4.58% and 0.43% for female patients; 0.11% and 3.32% for patients with BMI<18.5 kg/m 2;1.92% and 2.06% for those with 18.5 kg/m 2≤BMI<24.0 kg/m 2;2.57% and 1.57% for those with 24 kg/m 2≤BMI<28.0 kg/m 2;3.28% and -1.36% for those with BMI≥28.0 kg/m 2. The averaged root-mean-square errors in SSDE weight and SSDE BMI were both 0.80 mGy; 0.65 and 0.67 mGy for male patients; 0.98 and 0.59 mGy for female patients; 0.73 and 1.03 mGy for underweight, 0.74 and 0.66 mGy for normal weight, 0.85 and 0.79 mGy for overweight, and 1.10 and 1.32 mGy for obesity. Conclusions:Weight and BMI can be used as the surrogate dw to compute SSDE in adult abdomen-pelvis CT examination. However, Weight rather than BMI is more applied to male patients, and BMI is more suitable for female patients.
5.Feasibility of coronary artery calcium scoring assessment with ultra-low-dose chest CT combined with a calcium-aware algorithm
Huawei XIAO ; Xiangquan WANG ; Panfeng YANG ; Ling WANG ; Jian XU
Chinese Journal of Radiological Medicine and Protection 2023;43(10):820-826
Objective:To evaluate the feasibility of coronary artery calcium (CAC) detection, quantification and risk classification using ultra-low-dose chest CT (ULD-CT) combined with a calcium-aware algorithm.Methods:A total of 115 patients were prospectively enrolled from April to October 2022 at Zhejiang Provincial People′s Hospital, who underwent a standard calcium scoring CT (CACS-CT) scan followed by an additional ULD-CT scan. CACS-CT adopted a prospective ECG-triggered sequence scan with a tube voltage of 120 kVp, and the reconstruction algorithm with Qr36 (group CACS-CT Qr). ULD-CT adopted non-ECG-triggered high-pitch scan with a tube voltage of Sn 100 kVp, and the standard algorithm Qr36 (group ULD-CT Qr) and calcium-aware algorithm Sa36 (group ULD-CT Sa) were respectively used to reconstruct two groups of images. Taking the CAC detection of CACS-CT as a reference, the accuracy of ULD-CT for detecting CAC was calculated, and kappa was used to evaluate the agreement of CAC detection between scanning protocols. The agreement of CACS quantification between scanning protocols was assessed using intraclass correlation coefficients (ICC) and Bland-Altman plots, and the agreement of risk classification between scanning protocols was assessed using weighted kappa. Results:The CAC was found in 66.96% (77/115) of patients in CACS-CT Qr. Taking the CAC detection in CACS-CT Qr as a reference, the sensitivity of CAC detection in ULD-CT Qr and ULD-CT Sa was 96.1% and 97.4%, respectively, and the specificity was 94.73% (k= 0.902, 0.921). The CACS for ULD-CT Qr and ULD-CT Sa was lower than that for CACS-CT Qr (3.6, 6.2 vs. 8.5; P< 0.001), but strongly correlated with CACS for CACS-CT Qr ( r= 0.983, P< 0.001). The mean difference in CACS for ULD-CT Sa and CACS-CT Qr was smaller (12.33), and the agreement was better (ICC= 0.992). The agreement of risk classifications between ULD-CT Sa and CACS-CT Qr was relatively high (weighted k= 0.936), and the reclassification rate (6.08%) was relatively low. The effective radiation dose for ULD-CT was reduced by approximately 77.22% compared with that for CACS-CT. Conclusions:It is feasible to evaluate CACS using Non-ECG-triggered ULD-CT combined with a calcium-aware algorithm.
6.Preliminary report of perioperative monitoring of six-gene-edited pig-to-cynomolgus monkey kidney xenotransplantation
Shujun YANG ; Hao WEI ; Yong XU ; Heng'en WANG ; Xiangyu SONG ; Zhibo JIA ; Jiang PENG ; Mengyi CUI ; Boyao YANG ; Leijia CHEN ; Aitao GUO ; Xiaoli ZHANG ; Dengke PAN ; Jiaxiang DU ; Panfeng SHANG ; Shengkun SUN
Organ Transplantation 2023;14(4):521-
Objective To investigate the establishment of a six-gene-edited pig-to-non-human primate kidney xenotransplantation model. Methods The kidney of humanized genetically-edited pig (GTKO/β4GalNT2KO/CMAHKO/hCD55/hCD46/hTBM) was transplanted into a cynomolgus monkey. The survival of the recipient and kidney condition after blood perfusion were observed. The parenchymal echo, blood flow changes, and size of the kidney were monitored on a regular basis. Routine blood test, kidney function test and electrolyte assessment were carried out. Dynamic changes of urine, feces and body mass were monitored. At the end of life, the transplant kidney, heart, liver, spleen, lung, and cecum were collected for pathological examination. Results The recipient died at postoperative 7 d. After blood flow was restored, the kidney was properly perfused, the organ was soft and the color was normal. At the end of the recipient's life, a slight amount of purulent secretion was attached to the ventral side of the kidney, with evident congestion and swelling, showing the appearance of "red kidney". Postoperatively, the echo of renal parenchyma was increased, blood flow was decreased, the cortex was gradually thickened, and a slight amount of effusion surrounded the kidney and abdominal cavity over time. In the recipient, the amount of peripheral red blood cells, hemoglobin, albumin, and platelets was progressively decreased, and serum creatinine level was increased to 308 μmol/L at postoperative 7 d, whereas the K+ concentration did not significantly change. Light yellow urine was discharged immediately after surgery, diet and drinking water were resumed within postoperative 3 h, and light yellow and normal-shape stool was discharged. The reddish urine was gradually restored to normal color within postoperative 1 d, which were consistent with the results of the routine urine test. A large amount of brown bloody stool was discharged twice in the morning of 2 d after surgery. Omeprazole was given for acid suppression, and the stool returned to normal at postoperative 4 d. The β2-microglobulin level was increased to 0.75 mg/L at postoperative 7 d. The body mass was increased by 1.7 kg. Autopsy pathological examination showed interstitial edema and bleeding of the transplant kidney, a large amount of infiltration of lymphocytes and macrophages, infiltration of lymphocytes in the arteriole wall and arterial cavity, accompanied by arteritis changes, lymphocyte infiltration in the cecal stroma and congestion in the spleen tissues. No significant abnormal changes were observed in other organs. Conclusions The humanized genetically-edited pig-to-non-human primate kidney xenotransplantation model is successfully established, and postoperative survival of the recipient is 1 week.
7.Retrospective study of the efficacy and safety of treatment with PDD vs PAD in de novo patients with multiple myiloma.
Ling MA ; Chengcheng FU ; Hui LIU ; Song JIN ; Bin GU ; Shuang YAN ; Panfeng WANG ; Yun XU ; Shengli XUE ; Weiyang LI ; Aining SUN ; Depei WU
Chinese Journal of Hematology 2015;36(4):340-343