Effect of ACC oxidase gene AhACOs on salt tolerance of peanut / 生物工程学报

ACC oxidase (ACO) is one of the key enzymes that catalyze the synthesis of ethylene. Ethylene is involved in salt stress response in plants, and salt stress seriously affects the yield of peanut. In this study, AhACO genes were cloned and their functions were investigated with the aim to explore the biological function of AhACOs in salt stress response, and to provide genetic resources for the breeding of salt-tolerant varieties of peanut. AhACO1 and AhACO2 were amplified from the cDNA of salt-tolerant peanut mutant M29, respectively, and cloned into the plant expression vector pCAMBIA super1300. The recombinant plasmid was transformed into Huayu22 by pollen tube injection mediated by Agrobacterium tumefaciens. After harvest, the small slice cotyledon was separated from the kernel, and the positive seeds were screened by PCR. The expression of AhACO genes was analyzed by qRT-PCR, and the ethylene release was detected by capillary column gas chromatography. Transgenic seeds were sowed and then irrigated with NaCl solution, and the phenotypic changes of 21-day-seedings were recorded. The results showed that the growth of transgenic plants were better than that of the control group Huayu 22 upon salt stress, and the relative content of chlorophyll SPAD value and net photosynthetic rate (Pn) of transgenic peanuts were higher than those of the control group. In addition, the ethylene production of AhACO1 and AhACO2 transgenic plants were 2.79 and 1.87 times higher than that of control peanut, respectively. These results showed that AhACO1 and AhACO2 could significantly improve the salt stress tolerance of transgenic peanut.

Clinical characteristics of acute myeloid leukemia patients with TET2 gene mutation and effects of TET2 mutation on therapeutic efficacy and prognosis / 白血病·淋巴瘤

Objective:To investigate clinical features of adult patients with acute myeloid leukemia (AML) with TET2 gene mutation and effects of TET2 mutation on therapeutic efficacy and prognosis.Methods:A total of 123 newly diagnosed adult AML patients (except for acute promyelocytic leukemia) admitted to Jining No.1 People's Hospital from March 2017 to April 2021 were selected. Mutations of 24 AML-related genes including TET2 mutation were detected by using second-generation sequencing technology. Patients were divided into two groups according to the presence of TET2 mutation: TET2 mutation group and TET2 wild type group. The differences in clinicopathological characteristics, short-term efficacy and survival of both groups were compared.Results:Among 123 patients, TET2 mutation was detected in 28 cases (22.8%). Compared with TET2 wild type group, the patients were older [(59±15) years vs.(49±16) years, t = 2.984, P = 0.003], French-American-British (FAB) Corporative Group M 4 and M 5 subtypes were more common [75.0% (21/28) vs. 51.6% (49/95), χ2 = 4.838, P = 0.028], and the positive rate of CD34 in AML patients was lower in TET2 mutation group [46.4% (13/28) vs.72.6% (69/95), χ2 = 6.685, P = 0.010]. Moreover, TET2 mutation was more likely to be accompanied with ZRSR2 mutation [10.7% (3/28) vs. 1.1% (1/95), P = 0.037] and NPM1 mutation [35.7% (10/28) vs.17.9% (17/95), χ2 = 4.008, P = 0.045], but less likely to be accompanied with IDH1/2 mutation [0 vs.17.9% (17/95), P = 0.012]. However, there were no statistically significant differences in gender, peripheral blood leukocyte count at initial diagnosis, hemoglobin level, platelet count, bone marrow blasts ratio, cytogenetics and the European LeukemiaNet (ELN) risk stratification between the two groups (all P>0.05). In addition, there were no significant differences in the overall response rate (ORR) of 1 cycle chemotherapy [75.0% (12/16) vs. 66.7% (42/63), χ2 = 0.410, P = 0.522] and demethylation therapy [66.7% (4/6) vs. 44.4% (8/18), P = 0.640]. The difference in overall survival (OS) of both groups was not statistically significant [median OS time: 23 months (95% CI 5-41 months) vs. 35 months (95% CI 18-52 months, P = 0.498]. Conclusions:In AML patients, TET2 mutation is associated with advanced age, M 4 and M 5 subtypes, and low expression of CD34 on AML blasts. TET2 mutation is commonly accompanied by ZRSR2 and NPM1 mutation, but not IDH1 or IDH2 mutation. TET2 mutation may have no significant effects on therapeutic efficacy and survival in the whole cohort of AML patients without risk stratification.

Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features

PurposeTo identify differences in CT imaging and clinical features between COVID-19 and influenza pneumonia in the early stage, and to identify the most valuable features in the differential diagnosis. Materials and MethodA consecutive cohort of 73 COVID-19 and 48 influenza pneumonia patients were retrospectively recruited from five independent institutions. The courses of both diseases were confirmed to be in the early stages (2.66 {+/-} 2.62 days for COVID-19 and 2.19 {+/-} 2.10 days for influenza pneumonia after onset). The chi-square test, students t-test, and Kruskal-Wallis H-test were performed to compare CT imaging and clinical features between the two groups. Spearman or Kendall correlation tests between feature metrics and diagnosis outcomes were also assessed. The diagnostic performance of each feature in differentiating COVID-19 from influenza pneumonia was evaluated with univariate analysis. The corresponding area under the curve (AUC), accuracy, specificity, sensitivity and threshold were reported. ResultsThe ground-glass opacification (GGO) was the most common imaging feature in COVID-19, including pure-GGO (75.3%) and mixed-GGO (78.1%), mainly in peripheral distribution. For clinical features, most COVID-19 patients presented normal white blood cell (WBC) count (89.04%) and neutrophil count (84.93%). Twenty imaging features and 6 clinical features were identified to be significantly different between the two diseases. The diagnosis outcomes correlated significantly with the WBC count (r=-0.526, P<0.001) and neutrophil count (r=-0.500, P<0.001). Four CT imaging features had absolute correlations coefficients higher than 0.300 (P<0.001), including crazy-paving pattern, mixed-GGO in peripheral area, pleural effusions, and consolidation. ConclusionsAmong a total of 1537 lesions and 62 imaging and clinical features, 26 features were demonstrated to be significantly different between COVID-19 and influenza pneumonia. The crazy-paving pattern was recognized as the most powerful imaging feature for the differential diagnosis in the early stage, while WBC count yielded the highest diagnostic efficacy in clinical manifestations.