[Short-term Effect of Venetoclax Combined with Azacitidine and "7+3" Regimen in the Treatment of Newly Diagnosed Elder Patients with Acute Myeloid Leukemia].

OBJECTIVE: To compare the short-term effect and adverse reaction of venetoclax (VEN) combined with azacitidine (AZA) versus "7+3" regimen in newly diagnosed elder patients with acute myeloid leukemia (AML). METHODS: From January 2021 to January 2022, the clinical data of seventy-nine newly diagnosed elder patients with AML at the Second Hospital of Shanxi Medical University and the Shanxi Bethune Hospital were retrospectively analyzed, including VEN+AZA group (41 cases) and "7+3" group (38 cases). The propensity score matching(PSM) method was used to balance confounding factors， then response， overall survival(OS), progressionfree survival(PFS) and adverse reactions between the two groups were compared. RESULTS: The ORR of VEN+AZA group and "7+3" group was 68% and 84%, respectively, and the CRc was 64% and 72%, respectively, the differents were not statistically significant (P >0.05). In the VEN+AZA group, there were 5 non-remission (NR) patients, 4 with chromosome 7 abnormality (7q-/-7), and 1 with ETV6 gene mutation. Median followed-up time between the two groups was 8 months and 12 months, respectively, and the 6-months OS was 84% vs 92% (P =0.389), while 6-months PFS was 84% vs 92% (P =0.258). The main hematological adverse reactions in two groups were stage Ⅲ-Ⅳ myelosuppression, and the incidence rate was not statistically different(P >0.05). The median time of neutrophil recovery in two groups was 27(11-70) d, 25(14-61) d （P =0.161）, and platelet recovery was 27(11-75) d, 25(16-50) d （P =0.270）, respectively. The infection rate of VEN+AZA group was lower than that of "7+3" group (56% vs 88%, P =0.012）. The rate of lung infections of two groups was 36% and 64%, respectively, the difference was statistically significant (P =0.048). CONCLUSION: The short-term effect of VEN+AZA group and "7+3" regimens in eldrly AML patients are similar， but the VEN+AZA regimen had a lower incidence of infection. The presence of chromosome 7 abnormality（7q-/-7） may be a poor prognostic factor for elderly AML patients treated with VEN+AZA.

DSSS Signal Detection Based on CNN.

With the wide application of direct sequence spread spectrum (DSSS) signals, the comprehensive performance of DSSS communication systems has been continuously improved, making the electronic reconnaissance link in communication countermeasures more difficult. Electronic reconnaissance technology, as the fundamental means of modern electronic warfare, mainly includes signal detection, recognition, and parameter estimation. At present, research on DSSS detection algorithms is mostly based on the correlation characteristics of DSSS signals, and autocorrelation algorithm is the most mature and widely used method in practical engineering. With the continuous development of deep learning, deep-learning-based methods have gradually been introduced to replace traditional algorithms in the field of signal processing. This paper proposes a spread spectrum signal detection method based on convolutional neural network (CNN). Through experimental analysis, the detection performance of the CNN model proposed in this paper on DSSS signals in various situations has been compared and analyzed with traditional autocorrelation detection methods for different signal-to-noise ratios. The experiments verified the estimation performance of the model in this paper under different signal-to-noise ratios, different spreading code lengths, different spreading code types, and different modulation methods and compared it with the autocorrelation detection algorithm. It was found that the detection performance of the model in this paper was higher than that of the autocorrelation detection method, and the overall performance was improved by 4 dB.

Period Estimation of Spread Spectrum Codes Based on ResNet.

In order to more effectively monitor and interfere with enemy signals, it is particularly important to accurately and efficiently identify the intercepted signals and estimate their parameters in the increasingly complex electromagnetic environment. Therefore, in non-cooperative situations, it is of great practical significance to study how to accurately detect direct sequence spread spectrum (DSSS) signals in real time and estimate their parameters. The traditional time-delay correlation algorithm encounters the challenges such as peak energy leakage and false peak interference. As an alternative, this paper introduces a Pseudo-Noise (PN) code period estimation method utilizing a one-dimensional (1D) convolutional neural network based on the residual network (CNN-ResNet). This method transforms the problem of spread spectrum code period estimation into a multi-classification problem of spread spectrum code length estimation. Firstly, the In-phase/Quadrature(I/Q) two-way of the received DSSS signals is directly input into the CNN-ResNet model, which will automatically learn the characteristics of the DSSS signal with different PN code lengths and then estimate the PN code length. Simulation experiments are conducted using a data set with DSSS signals ranging from -20 to 10 dB in terms of signal-to-noise ratios (SNRs). Upon training and verifying the model using BPSK modulation, it is then put to the test with QPSK-modulated signals, and the estimation performance was analyzed through metrics such as loss function, accuracy rate, recall rate, and confusion matrix. The results demonstrate that the 1D CNN-ResNet proposed in this paper is capable of effectively estimating the PN code period of the non-cooperative DSSS signal, exhibiting robust generalization abilities.

[Impact of CSF3R Mutation on Treatment Response and Survival of Patients with Acute Myeloid Leukemia].

OBJECTIVE: To investigate the expression of CSF3R mutation in acute myeloid leukemia (AML) and analyze its clinical characteristics and prognosis. METHODS: A retrospective study was conducted in 212 patients with AML who were newly diagnosed in the Second Hospital of Shanxi Medical University from January 1th 2018 to June 30th 2021, including 22 patients with CSF3R mutations as mutation group and 190 patients with CSF3R wild type ï¼»66 cases of them were screened by propensity score matching (PSM), as control groupï¼½. The early efficacy and survival between the two groups were compared. RESULTS: The median age of patients in the mutation group was 50(17-73) years old, and the ratio of male to female was 1.2:1 The main types were AML with maturation (11 cases) and acute myelomonocytic leukemia (9 cases). Prognostic stratification was carried out according to the risk stratification system of the European leukemia network in 2017, with 16 cases (72.73%) in the middle and high-risk group. At the initial diagnosis, the median count of white blood cell (WBC) was 44.75(1.30-368.71)×109/L, among which 15 cases (68.18%) were >10×109/L, and the median count of platelet (PLT) was 24(4-55)×109/L. CSF3R T618I (68.18%) was a common mutation site, which had concomitant gene mutations, in which CEBPA mutation was the most common (10 cases, 45.45%), but only existed in CSF3R T618I mutation. The CR/CRi rate was 68.18% and 71.21% in the mutant group and the control group (P >0.05), the median over all survival time was 15 months and 9 months (P >0.05), and the median disease-free survival time was 8 months and 4 months (P >0.05), respectively. CONCLUSION: Most AML patients with CSF3R mutation are middle-aged patients, the main types are AML with maturation and acute myelomonocytic leukemia, and most of them have middle and high-risk prognosis. CSF3R mutation may not be an independent prognostic marker for newly diagnosed AML patients.

Climate suitability division of solar greenhouse in Inner Mongolia Autonomous Region, China.

To resolve the issue of scientific planning and rational layout of different vegetable greenhouses in Inner Mongolia Autonomous Region, we selected the days of low temperature in winter, sunshine hours, overcast days, extreme minimum temperature, days of monsoon disaster, days of snow cover in production season of greenhouse as the climate zoning indicators, based on ground-based observation data from 119 meteorological stations (1991 to 2020) and the growing demand of leafy and fruity vegetables in greenhouse, combined with the analysis of key meteorological factors in production season and the study of meteorological disaster indicators such as low temperature and cold damage, wind disaster, snow disaster. We analyzed the indices, classification and division of comprehensive climate suitability zoning of leafy and fruity vegetables at various slopes (35°, 40°) of solar greenhouse by the weighted sum method. The results showed that the climatic suitability zoning grades of leafy and fruity vegetables at 35° and 40° slope of greenhouse was highly consistent, and that the greenhouse climate suitability of leafy vegetables was higher than that of fruity vegetables in the same region. As the slope increased, wind disaster index decreased and snow disaster index increased. Climate suitability was different in areas affected by wind and snow disasters. The northeast of the study area was mainly affected by snow disasters, and the climate suitability of 40° slope was higher than 35°. The southeast of the study area was mainly affected by wind disasters, and the climate suitability of 35° slope was higher than 40°. Alxa League, Hetao Irrigation District, Tumochuan Plain, most parts of Ordos, southeast of Yanshan foothills and the south of West Liaohe Plain were the most suitable area for the solar greenhouse, because they had the suitable solar and hot resources and the low risks of wind and snow damage, which were also the key development areas of current and future facility agriculture. Due to the deficiency of solar and hot resources, high energy consumption in greenhouse production and frequent snow storms, the area around Khingan range in the northeast of Inner Mongolia was unsuitable for greenhouse.

Investigation Driven by Network Pharmacology on Potential Components and Mechanism of DGS, a Natural Vasoprotective Combination, for the Phytotherapy of Coronary Artery Disease.

Phytotherapy offers obvious advantages in the intervention of Coronary Artery Disease (CAD), but it is difficult to clarify the working mechanisms of the medicinal materials it uses. DGS is a natural vasoprotective combination that was screened out in our previous research, yet its potential components and mechanisms are unknown. Therefore, in this study, HPLC-MS and network pharmacology were employed to identify the active components and key signaling pathways of DGS. Transgenic zebrafish and HUVECs cell assays were used to evaluate the effectiveness of DGS. A total of 37 potentially active compounds were identified that interacted with 112 potential targets of CAD. Furthermore, PI3K-Akt, MAPK, relaxin, VEGF, and other signal pathways were determined to be the most promising DGS-mediated pathways. NO kit, ELISA, and Western blot results showed that DGS significantly promoted NO and VEGFA secretion via the upregulation of VEGFR2 expression and the phosphorylation of Akt, Erk1/2, and eNOS to cause angiogenesis and vasodilation. The result of dynamics molecular docking indicated that Salvianolic acid C may be a key active component of DGS in the treatment of CAD. In conclusion, this study has shed light on the network molecular mechanism of DGS for the intervention of CAD using a network pharmacology-driven strategy for the first time to aid in the intervention of CAD.

Compound heterozygous p.L483P and p.S310G mutations in GBA1 cause type 1 adult Gaucher disease: A case report.

BACKGROUND: Gaucher disease (GD) is caused by a GBA1 gene mutation that leads to decreased acid ß-glucosidase activity [glucocerebrosidase (GCase)]. This study aimed to identify and characterise compound heterozygous mutations in GBA1 in a patient with type 1 GD. CASE SUMMARY: Here, we report a rare adult-onset type 1 GD in a 46-year-old female patient with clinical manifestations of giant spleen, thrombocytopenia, and bone pain, diagnosed by enzymatic and genetic testing. Enzymology and whole exome sequencing revealed heterozygous missense mutations in exon 10 c.1448T>C (p.L483P) and exon 7 c.928A>G (p.S310G) of GBA1. The latter was first reported in patients with GD. Structural modelling showed that p.S310G and p.L483P were distant from the GCase active site. The p.S310G mutation in domain 1 may decrease stability between the α2 and α3 helices of GBA1. The p.L483P mutation in domain 2 reduced the van der Waals force of the side chain and disrupted the C-terminal ß-sheet. The patient was treated with imiglucerase replacement therapy, and her condition was stable. CONCLUSION: The p.L483P/p.S310G novel compound heterozygous mutation underlies type 1 GD and likely affects GCase protein function. This is the first description of p.S310G being associated with mild type 1 GD in the context of a coinherited p.L483P mutation.