1.Value of the imaging features of extrapancreatic nerve plexus in predicting the early postoperative recurrence of ductal adenocarcinoma of pancreatic head
Jie LI ; Liang WANG ; Chenguang HAN ; Chen ZHANG ; Lixue WANG ; Zhuozhao ZHENG
Chinese Journal of Hepatobiliary Surgery 2023;29(6):444-448
Objective:To study the value of imaging features of extrapancreatic nerve plexus in predicting early postoperative recurrence of ductal adenocarcinoma of pancreatic head.Methods:The clinical, imaging and pathological data of patients with ductal adenocarcinoma of pancreatic head undergoing pancreati-coduodenectomy at the Hepatobiliary Pancreatic Center of Beijing Tsinghua Changgung Hospital, Tsinghua University from January 2014 to April 2022 were retrospectively analyzed. A total of 73 patients were included, including 51 males and 22 females, aged (66.1±9.0) years old. The patients were followed up by telephone or outpatient review, who were divided into two groups according to the recurrence within 6 months after surgery: the recurrence group ( n=26) and the non-recurrence group ( n=47). Streaks or soft-tissue densities in the distribution area of extrapancreatic nerve plexus, difference in CT values between the portal and arterial phases of the distribution area of extrapancreatic nerve plexus, maximum tumor diameter, and regional lymph node enlargement were compared between the two groups. Results:The incidences of streaks or soft-tissue densities showing in the distribution area of extrapancreatic nerve plexus were 80.8%(21/26) in the recurrence group and 51.1%(24/47) in the non-recurrence group, respectively. A CT value difference ≥15 HU between the portal and arterial phases of the distribution area of extrapancreatic nerve plexus occurred in 50.0%(13/26) patients of the recurrence group and 25.5%(27/47) of the non-recurrence group, respectively. Maximum tumor diameter ≥25 mm were found in 80.8% (21/26) patients of the recurrence group and 57.4% (27/47) of the non-recurrence group, respectively. ≥3 reginal lymph node enlargement showed in 65.4% (17/26) patients of the recurrence group and 31.9% (15/47) of the non-recurrence group, respectively (all P<0.05). The risk of early postoperative recurrence increased in patients with a CT value difference ≥15 HU between the portal and arterial phases of the distribution area of extrapancreatic nerve plexus ( OR=3.609, 95% CI: 1.099-11.855), and regional lymph node enlargement ≥ 3 ( OR=4.665, 95% CI: 1.400-15.545) (all P<0.05). And these two independent risk factors were combined to predict early postoperative recurrence of ductal adenocarcinoma of pancreatic head with an area under receiver operating characteristic curve of 0.748, sensitivity of 92.3%, and specificity of 48.9% ( P<0.001). Conclusion:≥ 15 HU CT value difference between the portal and arterial phases of the distribution area of extrapancreatic nerve plexus and ≥ 3 regional lymph node enlargement are independent risk factors for the early postoperative recurrence of pancreatic head ductal adenocarcinoma, which could provide more predictive information preoperatively.
2.Advances in brain-computer interface based on high-frequency steady-state visual evoked potential.
Chenguang ZHENG ; Yang LIU ; Xiaolin XIAO ; Xiaoyu ZHOU ; Fangzhou XU ; Minpeng XU ; Dong MING
Journal of Biomedical Engineering 2023;40(1):155-162
Steady-state visual evoked potential (SSVEP) has been widely used in the research of brain-computer interface (BCI) system in recent years. The advantages of SSVEP-BCI system include high classification accuracy, fast information transform rate and strong anti-interference ability. Most of the traditional researches induce SSVEP responses in low and middle frequency bands as control signals. However, SSVEP in this frequency band may cause visual fatigue and even induce epilepsy in subjects. In contrast, high-frequency SSVEP-BCI provides a more comfortable and natural interaction despite its lower amplitude and weaker response. Therefore, it has been widely concerned by researchers in recent years. This paper summarized and analyzed the related research of high-frequency SSVEP-BCI in the past ten years from the aspects of paradigm and algorithm. Finally, the application prospect and development direction of high-frequency SSVEP were discussed and prospected.
Humans
;
Brain-Computer Interfaces
;
Evoked Potentials, Visual
;
Algorithms
3.Clinical efficacy of artificial vascular replacement for external iliac artery dissection during renal transplantation
Jiangwei ZHANG ; Yang LI ; Puxun TIAN ; Chenguang DING ; Ting GUO ; Jin ZHENG ; Lin HAO ; Xiao LI ; Xiaoming DING
Chinese Journal of Organ Transplantation 2022;43(4):211-214
Objective:To explore the clinical efficacy of treating external iliac artery dissection in renal transplantation by artificial vascular replacement.Methods:Four sudden intraoperative cases of external iliac artery dissection were selected.After removing vascular sutures, intimal arterial peeling blocked external iliac artery( n=3)and transplanted renal artery( n=1). Artificial vascular replacement of external iliac artery was performed using artificial vessels made from puffed polytetrafluoride ethylene(ePTFE). Secondary perfusion was performed in four transplanted kidneys for anastomosing with internal iliac artery. Results:One patient regained normal renal function within 1 week post-operation.Two cases had delayed graft function.Another case had delayed graft function plus acute rejection.After hemodialysis, renal function normalized at 2-3 weeks post-operation.During a follow-up period of(0.5-5.0)years, transplanted kidney function remained stable, blood supply, skin temperature and movement of operated lower extremities normalized.Conclusions:The incidence of vascular dissection of external iliac artery is not high during renal transplantation.However, the disease has a rapid and dangerous progression.The consequences of delayed intervention are quite serious.Treating external iliac artery dissection with renal transplantation may achieve satisfactory clinical outcomes.
4.Evaluating criteria of immune risk stratification for kidney transplant recipients
Yuting SHI ; Meng DOU ; Puxun TIAN ; Bingxuan ZHENG ; Ge DENG ; Chenguang DING ; Jin ZHENG ; Xiaoming DING ; Wujun XUE ; Baoyu GAN
Chinese Journal of Organ Transplantation 2022;43(12):743-748
Objective:To establish risk stratifying criteria for acute rejection(AR)after kidney transplantation(KT)through analyzing the preoperative risk factors of KT recipients from deceased donor(DD).Methods:A retrospective study is conducted for 1 382 KT recipients of DD kidney at First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2020.According to the presence or absence of AR within 1 year post-KT, they are divided into two groups of acute rejection(group AR, 115 cases)and non-rejection(group non-AR, 1 267 cases). Clinical data of two groups are examined by univariate and multivariate analyses for determining the risk factors of AR and a scoring standard is established on the basis of regression coefficients.They are divided into three groups of low-risk(907 cases), middle-risk(450 cases)and high-risk(25 cases)according to the scoring results and the incidence of AR is compared among different scoring groups.Results:Univariate analysis indicates that donor age(AR, 793 cases; non-AR, 474 cases, P=0.033), age difference between recipients and donors≥25 years(AR, 63 cases; non-AR; 315 cases; P<0.001), recipient panel-reactive antibodies(PRA)plus donor-specific antibody(DSA)(+ )(AR, 96 cases; non-AR, 1 169 cases, P=0.002), donor kidney cold ischemic time≥12h(AR, 81 cases; non-AR, 1 064 cases, P<0.001), donor/recipient HLA mismatch≥3(AR, 70 cases; non-AR, 984 cases, P<0.001)and expanded criteria donor(ECD)(AR, 50 cases; non-AR, 790 cases, P<0.001)are high risk factors for AR(all P<0.05). Variables with statistical significance during univariate analysis are included for multivariate analysis.Five variables are finally determined, including age difference between recipients and donors≥25 years(β=0.61, P=0.006), PRA+ DSA(+ )(β=0.74, P=0.008), donor kidney cold ischemic time≥12 h(β=0.74, P<0.001), HLA mismatch(≥3)(β=0.81, P<0.001)and ECD(β=0.82, P<0.001). Score for each risk factor is calculated according to the relevant regression coefficient and scoring standard formulate on the basis of the above five risk factors with a total score of 36.With an overall incidence of AR at 8.32%(115/1 382), the incidence of AR is 4.3%, 14.7% and 40.0% in low/middle/high-risk group and the difference is statistically significant.It hints that immune risk stratification can effectively determine the risk of postoperative AR for KT recipients.The incidence of AR is significantly higher in middle/high-risk group than that in low-risk group ( P<0.001). Conclusions:For recipients with middle/high immune risk, intensity and dose of immunosuppressants should be appropriately boosted during preoperative induction and maintenance period.And the occurrences of AR and infection should be dynamically monitored.
5.A randomized controlled trial to evaluate efficacy and safety of early conversion to a low-dose calcineurin inhibitor combined with sirolimus in renal transplant patients
Xiang ZHENG ; Weijie ZHANG ; Hua ZHOU ; Ronghua CAO ; Zhangfei SHOU ; Shuwei ZHANG ; Ying CHENG ; Xuchun CHEN ; Chenguang DING ; Zuofu TANG ; Ning LI ; Shaohua SHI ; Qiang ZHOU ; Qiuyuan CHEN ; Gang CHEN ; Zheng CHEN ; Peijun ZHOU ; Xiaopeng HU ; Xiaodong ZHANG ; Ning NA ; Wei WANG
Chinese Medical Journal 2022;135(13):1597-1603
Background::The calcineurin inhibitor (CNI)-based immune maintenance regimen that is commonly used after renal transplantation has greatly improved early graft survival after transplantation; however, the long-term prognosis of grafts has not been significantly improved. The nephrotoxicity of CNI drugs is one of the main risk factors for the poor long-term prognosis of grafts. Sirolimus (SRL) has been employed as an immunosuppressant in clinical practice for over 20 years and has been found to have no nephrotoxic effects on grafts. Presently, the regimen and timing of SRL application after renal transplantation vary, and clinical data are scarce. Multicenter prospective randomized controlled studies are particularly rare. This study aims to investigate the effects of early conversion to a low-dose CNI combined with SRL on the long-term prognosis of renal transplantation.Methods::Patients who receive four weeks of a standard regimen with CNI + mycophenolic acid (MPA) + glucocorticoid after renal transplantation in multiple transplant centers across China will be included in this study. At week 5, after the operation, patients in the experimental group will receive an additional administration of SRL, a reduction in the CNI drug doses, withdrawal of MPA medication, and maintenance of glucocorticoids. In addition, patients in the control group will receive the maintained standard of care. The patients’ vital signs, routine blood tests, routine urine tests, blood biochemistry, serum creatinine, BK virus (BKV)/cytomegalovirus (CMV), and trough concentrations of CNI drugs and SRL at the baseline and weeks 12, 24, 36, 48, 72, and 104 after conversion will be recorded. Patient survival, graft survival, and estimated glomerular filtration rate will be calculated, and concomitant medications and adverse events will also be recorded.Conclusion::The study data will be utilized to evaluate the efficacy and safety of early conversion to low-dose CNIs combined with SRL in renal transplant patients.Trial registration::Chinese Clinical Trial Registry, ChiCTR1800017277.
6.Clinical observations on acute rejection of elderly donor kidneys in kidney transplant recipients of different ages
Bingxuan ZHENG ; Meng DOU ; Yuting SHI ; Yang LI ; Chenguang DING ; Heli XIANG ; Xiaoming DING ; Jin ZHENG ; Wujun XUE ; Puxun TIAN
Chinese Journal of Organ Transplantation 2021;42(6):336-339
Objective:To explore the clinical data of acute rejection in kidney transplant recipients of different ages with elderly donor kidneys.Methods:During January 2012 and June 2020, a retrospective review was conducted for clinical data of 298 recipients undergoing kidney transplantation from elderly donors aged ≥60 years after citizen's death.According to the age, recipients were divided into group A(age<30 yr, 59 cases), group B(30~39 yr, 125 cases), group C(40~49 yr, 83 cases)and group D(age≥50 yr, 31 cases). The incidence of acute rejection(AR)was analyzed.Also based upon age difference between donors and recipients, they were divided into two groups of(30~39 yr)and (40~49 yr)and the occurrence of AR was recorded.Results:The incidence of AR within 1 year post-transplantation in groups A, B, C, and D were 15.3%(9/59), 8.8%(11/125), 7.2%(6/83) and 3.2%(1/31)respectively.The incidence of AR in age difference≥25 yr group(12.5%)and age difference <25 yr group(5.3%) had significant difference( P<0.05). The proportion and absolute value of peripheral blood lymphocytes in each group at 1 week/month post-transplantation had significant difference( P<0.05). No significant difference was observed in serum level of creatinine(SCr), the incidence of pulmonary infection and urinary tract infection or the survival rate of recipients and transplanted kidneys in each group within 1 year post-transplantation among four groups( P>0.05). Conclusions:Elderly donor kidneys can obtain better transplant outcomes in kidney transplant recipients of different ages.As the age of recipients decreases, AR shows an upward trend.Clinicians should pay more attention to the prevention and treatment of AR in recipients with large age difference between donors and recipients.
7.Prognostic utility of LifePort parameters plus perfusate biomarkers during deceased donor kidney transplantation
Yuxi QIAO ; Yang LI ; Jin ZHENG ; Heli XIANG ; Xiaoming DING ; Puxun TIAN ; Wujun XUE ; Chenguang DING
Chinese Journal of Organ Transplantation 2021;42(9):513-517
Objective:To explore the prognostic utility of LifePort perfusion parameters plus perfusate biomarkers for predicting delayed graft function(DGF)and recovery time during deceased donor kidney transplantation(KT).Methods:From January 1, 2019 to August 31, 2019, retrospective analysis was performed for clinical data of 113 KT recipients. Based upon whether or not DGF occurred within 3 months, they were divided into two groups of DGF group(20 cases)and non-DGF (93 cases). Two groups were compared using LifePort perfusion parameters, biomarker concentrations, incidence of DGF and kidney recovery time. Statistical analysis was performed.Results:The incidence of DGF was 17.7%(20/113); Multivariate Logistic regression results indicated that terminal resistance(OR 1.879, 95% CI 1.145~3.56)and glutathione S-transferase(GST)(OR 1.62, 95% CI 1.23~2.46)were independent risk factors for DGF; Cox hazard model revealed that terminal resistance was a risk factor for recovery time of renal function(HR=0.823, 95% CI 0.735~0.981). The model combining terminal resistance and GST(AUC=0.888, 95% CI 0.842~0.933)significantly improved the predictive efficacy for DGF as compared with using terminal resistance(AUC=0.756, 95% CI 0.693~0.818)or GST alone(AUC=0.729, 95% CI 0.591~0.806).Conclusions:Combining LifePort perfusion parameters and fluid biomarkers can improve the predictive utility of DGF.
8.Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation.
Yuxi QIAO ; Chenguang DING ; Yang LI ; Xiaohui TIAN ; Puxun TIAN ; Xiaoming DING ; Heli XIANG ; Jin ZHENG ; Wujun XUE
Chinese Medical Journal 2021;135(2):181-186
BACKGROUND:
Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor (DD) kidney transplantation.
METHODS:
HMP parameters, perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1, 2019 to August 31, 2019 in the First Affiliated Hospital of Xi'an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis.
RESULTS:
In this study, the DGF incidence was 17.7% (20/113); The multivariate logistic regression results showed that terminal resistance (OR: 1.879, 95% CI 1.145-3.56) and glutathione S-transferase (GST)(OR = 1.62, 95% CI 1.23-2.46) were risk factors for DGF; The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time (HR = 0.823, 95% CI 0.735-0.981). The model combining terminal resistance and GST (AUC = 0.888, 95% CI: 0.842-0.933) significantly improved the DGF predictability compared with the use of terminal resistance (AUC = 0.756, 95% CI 0.693-0.818) or GST alone (AUC = 0.729, 95% CI 0.591-0.806).
CONCLUSION
According to the factors analyzed in this study, the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.
Biomarkers
;
Delayed Graft Function
;
Graft Survival
;
Humans
;
Kidney/physiology*
;
Kidney Transplantation/adverse effects*
;
Organ Preservation
;
Perfusion
;
Retrospective Studies
;
Tissue Donors
9.Mining Unknown Porcine Protein Isoforms by Tissue-based Map of Proteome Enhances Pig Genome Annotation
Zhao PENGJU ; Zheng XIANRUI ; Yu YING ; Hou ZHUOCHENG ; Diao CHENGUANG ; Wang HAIFEI ; Kang HUIMIN ; Ning CHAO ; Li JUNHUI ; Feng WEN ; Wang WEN ; E.Liu GEORGE ; Li BUGAO ; Smith JACQUELINE ; Chamba YANGZOM ; Liu JIAN-FENG
Genomics, Proteomics & Bioinformatics 2021;19(5):772-786
A lack of the complete pig proteome has left a gap in our knowledge of the pig genome and has restricted the feasibility of using pigs as a biomedical model.In this study,we developed a tissue-based proteome map using 34 major normal pig tissues.A total of 5841 unknown protein iso-forms were identified and systematically characterized,including 2225 novel protein isoforms,669 protein isoforms from 460 genes symbolized beginning with LOC,and 2947 protein isoforms with-out clear NCBI annotation in the current pig reference genome.These newly identified protein iso-forms were functionally annotated through profiling the pig transcriptome with high-throughput RNA sequencing of the same pig tissues,further improving the genome annotation of the corre-sponding protein-coding genes.Combining the well-annotated genes that have parallel expression pattern and subcellular witness,we predicted the tissue-related subcellular locations and potential functions for these unknown proteins.Finally,we mined 3081 orthologous genes for 52.7%of unknown protein isoforms across multiple species,referring to 68 KEGG pathways as well as 23 disease signaling pathways.These findings provide valuable insights and a rich resource for enhancing studies of pig genomics and biology,as well as biomedical model application to human medicine.
10.The efficiency study on different scoring models in predicting delayed graft function after renal transplantation
Yuxi QIAO ; Chenguang DING ; Puxun TIAN ; Xiaoming DING ; Xiaoming PAN ; Hang YAN ; Heli XIANG ; Xinshun FENG ; Jun HOU ; Xiaohui TIAN ; Yang LI ; Jin ZHENG ; Wujun XUE
Organ Transplantation 2020;11(3):379-
Objective To analyze the prediction efficiency of scoring models at home and abroad on delayed graft function (DGF) after renal transplantation in China. Methods The clinical data of 112 donors and 220 recipients undergoing renal transplantation were prospectively analyzed. The DGF predicted by KDRI model, Jeldres model, and model of our center was compared with actual DGF incidence of renal transplant recipients. The prediction efficiency of each model was analyzed. The predictive accuracy was compared by the area under curve (AUC) of receiver operating characteristic (ROC) curve. Results The DGF incidence of 220 renal transplant recipients was 14.1% (31/220). DGF prediction using KDRI model showed that 41 cases were high risk donors, the AUC was 0.57, the sensitivity was 0.37, the specificity was 0.66, and the positive predictive value was 22%. DGF prediction using Jedres model showed that 22 cases were high risk recipients, the AUC was 0.56, the sensitivity was 0.13, the specificity was 0.92 and the positive predictive value was 20%. DGF prediction using the model of our center showed that 25 cases were high risk donors, the AUC was 0.80, the sensitivity was 0.53, the specificity was 0.84, the positive predictive value was 40%. Conclusions Compared with the KDRI and Jedres models, the prediction model of our center has higher AUC and sensitivity with a better prediction efficiency on DGF. Therefore, it is a suitable evaluation system of donors from donation after citizen's death in Chinese.

Result Analysis
Print
Save
E-mail