OBJECTIVETo determine the optimal concentration and processing time of EMS mutation for suspension cells from Pinellia ternata.

METHODUnder four EMS concentration gradients (0.1% , 0.2%, 0.4%, 0.6%) and three processing time gradients (0.5, 1.0, 2.0 h), the suspension cells of P. ternata were mutagenized.

RESULT AND CONCLUSIONThe results showed that the survival rate was significantly different under the different concentrations of EMS and the different processing time. In the same processing time, the EMS concentrations were increased, but the suspension cells survival rate decreased gradually. The optimum EMS concentration for the mutagenesis was 0.4% and the best processing time was 1 hour.

Cell Survival ; drug effects ; genetics ; Dose-Response Relationship, Drug ; Ethyl Methanesulfonate ; pharmacology ; Mutagenesis ; drug effects ; Mutation ; drug effects ; Pinellia ; cytology ; drug effects ; genetics ; physiology ; Suspensions ; Temperature ; Time Factors

OBJECTIVETo optimize a simple and effective method for total RNA extraction from bulblet of Fritillaria anhuiensis.

METHODFour methods, i. e. guanidine isothiocyanate, bentonite, modified SDS/phenol and the RNAiso plus, were used to extract total RNA from bulblet of F. anhuiensis. Then the results of the extraction were compared and analyzed by electrophoresis detection and RT-PCR verification.

RESULTThe total RNA extracted by bentonite method were clear and no dispersion, the integrity of the RNA was well, and there was no obvious contamination with DNA and other impurities, was suitable for RT-PCR test.

CONCLUSIONThe bentonite method is quick, economic, and efficient for total RNA extraction from bulblet of F. anhuiensis.

Bentonite ; chemistry ; DNA, Complementary ; analysis ; Electrophoresis ; Fritillaria ; genetics ; Guanidines ; chemistry ; Isothiocyanates ; chemistry ; Phenol ; chemistry ; Plant Roots ; genetics ; Plants, Medicinal ; genetics ; RNA, Plant ; analysis ; isolation & purification ; Reverse Transcriptase Polymerase Chain Reaction ; Sodium Dodecyl Sulfate ; chemistry ; Time Factors

Objective: Shortage of kidney allografts is a major barrier to end-stage renal disease patients receiving kidney transplantation, and it is necessary to enlarge the donor pool and find better ways of using available allografts. The global incidence of nephrolithiasis is increasing, nephrolithiasis affects approximately 10％ of adults worldwide, and it also affects the kidney donors. However, there is little information about the use of cadaveric kidney allografts with nephrolithiasis. This study aims to evaluate the safety and outcome of kidney transplantation with allografts from the deceased donors with nephrolithiasis. Methods: A total of 520 deceased donors who was at least 10 years old, and 945 adult recipients with single kidney transplantation at the Department of Kidney Transplantation, the Second Xiangya Hospital from 2016 to 2020 were included in this study. The donors were divided into 2 groups according to nephrolithiasis diagnoses: The donors with nephrolithiasis (D+) and the donors without nephrolithiasis (D?). The recipients were assigned into 3 groups according to their donors and the allografts they received: The allografts from donors without nephrolithiasis (D?K?), the allografts without nephrolithiasis from donors with nephrolithiasis (D+K?), and the allografts with nephrolithiasis (D+K+). The demographic and clinical data of enrolled subjects were retrospectively analyzed. The allograft discard ratio between different donors were analyzed. The one-year survival of allografts and recipients, as well as the allograft function and the complications of kidney transplantation were compared. Results: Fifty out of 520 donors had nephrolithiasis, and the nephrolithiasis incidence was 9.6％. We recovered 1040 kidneys, and total discard rate was 4.4％ (46/1040). The D+ group had a rate of 7％ discard. The donors with kidney discard accounted for 12％ in the D+ group, and this was higher than that of donors in the D? group (5.1％, P<0.05). The total incidence of delayed graft function (DGF) was 7.5％, and there were no significant differences in the incidence of DGF in recipients among the D?K?, D+K?, and D+K+ group (7.5％ vs 6.5％ vs 8.2％, P>0.05). During the one-year follow-up, 8 allografts lost function and 19 recipients died with a functional allograft. Recipients in the D?K?, D+K?, and D+K+ groups also had no significant difference between a one-year allograft and patient survival rate (P>0.05). However, recipients in the D+K+ group had a higher level of serum creatinine [(139.2±62.46) μmol/L vs (117.19±51.22) μmol/L, P<0.05] and lower estimated glomerular filtration rate [eGFR; (56.67±23.31) mL/(min·1.73 m?2) vs (66.86±21.90) mL/(min·1.73 m?2), P<0.05] compared with recipients in the D?K? group at 12 months after transplantation. During the first year after transplantation, 4 recipients developed urolithiasis, and recipients who received allografts from the D+ group donors had a higher incidence of urolithiasis than those who received allografts from the D? group donors (2.2％ vs 0.2％, P<0.05). There were no significant differences in the incidence of urinary tract infections and ureteral strictures at 1 year between recipients of D+ and D? donors (both P>0.05).Conclusion: The cadaveric kidney allografts with nephrolithiasis could be safely used for transplantation, and the short-term outcome is acceptable. However, nephrolithiasis in donors may increase the rate of kidney discard, disturb the short-term function of allografts, and increase the risk of urolithiasis in recipients. Further research with a long-term study is needed to verify the long-term outcome of kidney transplantation using cadaveric kidney allografts with nephrolithiasis.

Objective:To investigate the correlation between the prognosis of patients infected with BK virus after renal transplantation and their peripheral blood related indexes.Methods:131 patients from the Renal Transplantation Department of the Second Xiangya Hospital of Central South University who underwent renal transplantation and firstly infected with BK virus after the surgery during the period from August 2018 to August 2021 were retrospectively analyzed. 93 males (71.0%) and 38 females (29.0%). The average age was (37.5±11.3) years old. 109 cases underwent cadaveric kidney transplant (83.2%) and 22 cases underwent relatives kidney transplant (16.8%). The onset time of the first infection with BK virus after renal transplantation was (188.7±16.6) days, and the serum creatinine was (127.5±39.5) μmol/L. 25 patients (19.1%)infected with BK virus were positive in blood and urine at the same time, and 106 patients (80.9%)infected with BK virus were positive only in urine. Among 131 patients infected with BK virus, 70 patients were treated by lowering the blood concentration of tacrolimus to enhance immunity, 12 patients were treated by switching tacrolimus to cyclosporine, and 49 patients had incomplete follow-up data. The DNA load of BK virus in 25 patients [5.6(2.4, 12.3)×10 3copies/ml] positive in blood, white blood cell count(WBC)(5.8±2.0)×10 9/L, hemoglobin(Hb)(122.0±22.4)g/L, platelet count(PLT)(187.1±63.1)×10 9/L, neutrophil count(NEUT)(3.9±1.7)×10 9/L, lymphocyte count(LYM)(1.5±0.8)×10 9/L, monocyte count(MONO)(0.4±0.2)×10 9/L, neutrophil to lymphocyte ratio(NLR)2.2(1.7, 3.5), derived neutrophil to lymphocyte ratio(dNLR)1.7(1.3, 2.6), platelet to lymphocyte ratio(PLR)121.3(86.3, 227.3), monocyte to lymphocyte ratio(MLR)0.2(0.1, 0.4) and lymphocyte to monocyte ratio(LMR)4.7±2.6. The DNA load of BK virus in 106 patients [20.4(0.4, 2 570.0)×10 5copies/ml] positive in urine, WBC 6.6(4.8, 9.1)×10 9/L, Hb(129.0±24.5)g/L, PLT 188.0(147.3, 226.5)×10 9/L, NEUT 4.6(3.0, 6.6)×10 9/L, LYM(1.7±0.8)×10 9/L, MONO 0.4(0.3, 0.5)×10 9/L, NLR 2.8(1.9, 3.9), dNLR 2.1(1.5, 3.0), PLR 120.5(87.0, 163.2), MLR 0.2(0.1, 0.4), LMR 4.5(2.8, 6.7). 70 patients infected with BK virus treated by lowering the blood concentration of tacrolimus were divided into BK virus rise group and BK virus decline group according to the change of BK virus DNA load in blood and urine before and after treatment (the grouping principle of this study gives priority to the change of BK virus DNA load in blood, followed by the change of BK virus DNA load in urine). The WBC, Hb, PLT, NEUT, LYM, MONO, NLR, dNLR, PLR, MLR, LMR, tacrolimus blood concentration and change difference, blood creatinine and change difference were analysed between two groups. Results:The BK virus DNA load in 25 patients positive in blood was correlated with NLR and dNLR ( r=0.5062, P=0.0098; r=0.5738, P=0.0027), and there was no correlation between the BK virus DNA load in blood with the WBC ( r=-0.0185, P=0.9302), Hb ( r=0.0912, P=0.6646), PLT ( r=-0.3931, P=0.0519), NEUT ( r=0.2438, P=0.2401), LYM ( r=-0.3035, P=0.1402), MONO ( r=-0.3279, P=0.1096), PLR( r=0.1054, P=0.6161), MLR( r=0.0738, P=0.7257), LMR( r=-0.0738, P=0.7257). There was no correlation between the BK virus DNA load in 106 patients positive in urine and WBC( r=0.0222, P=0.8209), Hb( r=-0.0323, P=0.7423), PLT( r=0.0847, P=0.3881), NEUT( r=0.0417, P=0.6713), LYM( r=0.0010, P=0.9916), MONO( r=0.0224, P=0.8196, NLR( r=0.0170, P=0.8623), dNLR ( r=-0.0013, P=0.9892), PLR( r=0.0387, P=0.6934), MLR( r=-0.0070, P=0.9433)and LMR( r=0.0070, P=0.9433). As for 70 patients infected with BK virus, there were 37 patients in the BK virus rise group and 33 patients in the BK virus decline group. In the two groups, age [(38.4±12.0)years old and(39.0±9.0)years old], gender [male /female: (23/14) cases and(27/6)cases], blood type [A+ /B+ /AB+ : (22/13/20)cases and (26/6/1)cases], donation type [relatives donnation/cadaveric donation: (29/8)cases and (27/60)cases], blood creatinine(after treatment)[123.0(98.4, 140.5)μmol/L and 132.0(107.1, 162.4)μmol/L] and change difference before and after treatment [0(-15.7, 10.5)μmol/L and -2.0(-9.1, 15.0)μmol/L], tacrolimus blood concentration (after treatment)[(6.7±2.0)ng/ml and(6.5±1.5)ng /ml] and tacrolimus concentration change difference [-1.4(-3.8, 0.6)ng/ml and -1.2(-2.2, 1.3)ng/ml] had no significant difference( P<0.05). The MONO of the two groups was statistically different [0.3(0.2, 0.5)×10 9/L and 0.4(0.3, 0.6)×10 9/L, P=0.033], and there was no difference between the two groups in WBC[6.6(4.1, 8.8)×10 9/L and 6.8(5.4, 8.9)×10 9/L], Hb[(133.2±25.3)g/L and(131.6±20.6)g/L], PLT[185.0(151.0, 231.5)×10 9/L and 196.0(149.0, 234.0)×10 9/L], NEUT[4.3(2.4, 6.4)× 10 9/L and 4.2(3.1, 5.5)×10 9/L], LYM[1.7(1.1, 2.2)×10 9/L and 1.8(1.1, 2.3)×10 9/L], NLR[2.5(1.9, 3.8)and 2.4(1.9, 3.7)], dNLR [2.0(1.5, 2.8)and 1.9(1.4, 2.5)], PLR [114.9(85.1, 159.4)and 111.3(77.1, 159.6)], LMR(4.6±2.6 and 5.2±2.4), MLR[0.2(0.2, 0.4)and 0.2(0.2, 0.4)]( P<0.05). Conclusions:There is a positive correlation between the blood BK virus DNA load and NLR, dNLR in renal transplant recipients infected with BK virus. The rise of MONO correlates with good prognosis of BK virus.

The effect of living kidney transplantation between identical twins is satisfied, but it is rarely reported. From October 2019 to February 2021, two recipients received kidney transplantation from their twin sisters in the Second Xiangya Hospital of Central South University. The primary disease of the two recipients was acute glomerulonephritis in 1 case and diabetic nephropathy in 1 case. Two recipients received tacrolimus/cyclosporine+ mortemycophenol ester+ methylprednisolone after surgery. The patients were followed up for 3.0 and 1.5 years, respectively, with renal function recovering well.

Objective:To explore the clinical efficacy of adult donor dual kidney transplantation.Methods:Retrospective analysis of case data of 13 adult donor kidney dual kidney transplantation (DKT) performed in the The Second Xiangya Hospital of Central South University from September 2016 to December 2020. For 13 donors, the average age and BMI were (53.5±12.4)years and (24.3±2.8) kg/m 2, respectively. Their mean Serum creatinine (SCr) at admission and before procurement was (132.9±54.1)and (228.7±112.4)μmol/L, respectively. 3 of them had diabetes mellitus history, and 8 had hypertension history. 11 met the United Network for Organ Sharing (UNOS) DKT criteria and 6 met Remuzzi score DKT criteria. For 13 recipients, the average age and BMI were (39.3±8.9)years and (20.2±2.4)kg/m 2, respectively. All of them received ABO blood type-matched kidney transplants. 2 of them had their grafts transplanted in the bilateral iliac. In 12 cases, the grafts filled rapidly and urinated immediately when opening blood flow. In 1 case, the grafts were dark in color and vascular showed weak pulsation after opening blood flow. The time to recovery of perioperative graft function (from the day of surgery to the natural reduction of SCr to the normal range 44-133μmol/L), the occurrence of delayed graft function (DGF), acute rejection (AR), ureteral and surgical incision complications, as well as the recipients’ final follow-up SCr, eGFR, urinary protein, and grafts outcome were observed. Risk factors affecting outcomes were assessed by univariate logistic regression analysis. Results:The SCr dropped to the normal range at discharge in 10 recipients, and the average recovery time was (13.8±13.0) days. In other 3 cases SCr at discharge were 300.0, 149.0, 152.5μmol/L. 4 cases had DGF, 4 had AR, 1 experienced urinary fistula, and 1 experienced incisional dehiscence, which were treated with anti-rejection, J-tube implantation, continuous catheterization to maintain bladder void, secondary suturing, respectively. The follow-up time ranged from 4 to 54 months, with a median of 28(15.5, 31.0) months. At the final follow-up time, 10 cases had good graft function, 2 suffered impaired kidney function, and 1 experienced graft failure. The average SCr and eGFR except for graft failure patient were (144.2±101.3)μmol/L and (52.9±21.2)ml/min, respectively. 4 had positive urine protein. Univariate logistic regression analysis showed that donor age, BMI, history of diabetes mellitus and hypertension, and SCr were not significantly correlated with recipients’ DGF and graft impairment ( P>0.05), and due to the small sample size, multifactorial logistic regression analysis was not performed. Conclusion:The short to medium-term effects of adult donor DKT coule be safe and feasible.

Objective To investigate the antigen presentation characteristics of dendritic cells (DC) and B cells in cardiac grafts. Methods The heart of BALB/c mice was transplanted into the abdominal cavity of C57BL/6J mice. CD45⁺ cells in the heart graft were extracted and sorted by flow cytometry at postoperative 5 d, and single cell RNA sequencing was performed. Taking DC and B cell subsets in cardiac grafts as the main study cells, the changing trend, antigen presenting ability and intercellular communication with T cells after heart transplantation were analyzed by bioinformatics analysis and flow cytometry. Gene ontology (GO) function enrichment difference analysis was adopted to prove the specific function and the reliability annotation of cell subsets. Results Germinal center-like B cell (GC-L B) was the B cell subset with the largest increase in quantity during the acute rejection phase, accounting for 87%. Classical DC (cDC) 2 was the only DC subset with a significant increase in quantity during acute rejection of heart transplantation, accounting for 44% of DC subset, and it occupied the highest communication intensity with T cells after heart transplantation. Mononucleated DC (moDC) and memory B cell (MBC) were the main transmitters of T cell input signals in non-transplanted hearts, whereas transformed into cDC2 and GC-L B during the acute rejection phase. Among them, MBC and GC-L B were the main sources of T cell input signals in non-transplanted hearts and heart grafts. Conclusions Compared with DC, B cells occupy a higher number and weight in the intercellular communication with T cells in non-transplanted hearts and heart grafts, prompting that the antigen presenting activity of B cells is more active and stronger than DC in the early stage of acute rejection of heart transplantation.

Objective: To explore the associations between blood pressure trajectories during pregnancy and risk of future pre-eclampsia in a large cohort enrolling pregnant women at gestational age of ~12 weeks from community hospitals in Tianjin. Latent class growth modeling (LCGM) was used to model the blood pressure trajectories. Methods: This was a large prospective cohort study. The study enrolled pregnant women of ~12 weeks of gestation in 19 community hospitals in Tianjin from November 1, 2016 to May 30, 2018. We obtained related information during 5 antepartum examinations before gestational week 28, i.e., week 12, week 16, week 20, week 24 and week 28. LCGM was used to model longitudinal systolic (SBP) and diastolic blood pressure (DBP) trajectories. For the association study, the predictors were set as SBP and DBP trajectory membership (built separately), the outcome was defined as the occurrence of preeclampsia after 28 weeks of gestation. Results: A total of 5 809 cases with known pregnant outcomes were documented. After excluding 249 cases per exclusion criteria, 5 560 cases with singleton pregnancy were included for final analysis. There were 128 cases preeclampsia and 106 cases gestational hypertension in this cohort. Univariate logistic regression and multivariate logistic regression showed the higher baseline SBP level and DBP level were related with increased risk of preeclampsia. Four distinctive SBP trajectories and DBP trajectories from 12 weeks to 28 weeks of gestation were identified by LCGM. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for SBP latent classification trajectory_ 4 was 4.023 (95%CI: 2.368 to 6.835, P<0.001), and the OR for SBP latent classification trajectory_3 was 1.854 (95%CI: 1.223 to 2.811, P=0.004). Logistic regression showed that: using the DBP latent classification trajectory_1 as the reference group, the OR for DBP latent classification trajectory_4 was 4.100 (95%CI: 2.571 to 6.538, P<0.001), and 2.632 (95%CI: 1.570 to 4.414, P<0.001) for DBP latent classification trajectory_2. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for DBP_traj_4 was 2.527 (95%CI: 1.534 to 4.162, P<0.001), and the OR for DBP_traj_3 was 1.297 (95%CI: 0.790 to 2.128, P=0.303), and 2.238 (95%CI: 1.328 to 3.772, P=0.002) for DBP_traj_2. Therefore, BP trajectories from 12 weeks to 28 weeks identified by LCGM served as novel risk factors that independently associated with the occurrence of preeclampsia. Receiver operating characteristic (ROC) curve analysis showed incremental diagnostic performance by combing baseline blood pressure levels with blood pressure trajectories. Conclusion: By applying LCGM, we for the first time identified distinctive BP trajectories from gestational week 12 to 28, which can independently predict the development of preeclampsia after 28 weeks of gestation.
Female ; Humans ; Pregnancy ; Infant ; Blood Pressure ; Pre-Eclampsia/diagnosis* ; Prospective Studies ; Gestational Age ; Alanine Transaminase ; Hemoglobins

Objective To investigate and analysis the epidemiological characteristics of a cluster epidemic of COIVD-19 in a collective workplace in Tianjin, evduate the prevention and control measures based on limited evidence and experience in early period of COVID-19 epidemic. Methods Descriptive research method was used to describe the distribution and other epidemiological characteristics of the cluster cases of COVID-19. Results Since the onset of the first index case on January 15, ten confirmed COVID-19 cases had occurred in the workplace, and the epidemic had spread from the workplace to 4 families, infecting 7 family members. The median age of 17 cases was 55 (19-79) years. All the 10 employee cases were males, and in 7 family cases, 3 were males and 4 were females. Of the employee cases, 8 worked in CW workshop and 2 worked in administrative office building. The median exposure-onset interval of all the cases was 4 (0-12) days, and the median exposure-onset interval was 4.5 days in the employee cases and 4 days in the family cases. The median onset-medical care seeking interval was 4 days in the non-isolated cases, 2.5 days in the cases with home isolation after onset, and 0.5 day in the cases with home isolation before onset. Conclusion The clustering of COVID-19 cases was observed in this workplace in Tianjin, which affected 4 families. In the early stage of the epidemic, accurate and rapid blocking and control measures can completely prevent the large-scale spread of COVID-19.