italic>Artemisia argyi is a traditional Chinese medicine in China, which is used as medicine with its leaves. The leaves of A. argyi mainly contain flavonoids, phenolic acids, volatile oils and other compounds, and have a variety of pharmacological activities. AP2/ERF transcription factors are abundant in plants and are mainly involved in plant growth and development, abiotic stress response and secondary metabolite biosynthesis regulation. However, there are few reports on the AP2/ERF gene family and its functions in A. argyi. In this study, we systematically identified the AP2/ERF gene family in A. argyi genome, and analyzed its phylogenetic tree, protein physicochemical properties, subcellular localization, conserved motifs, promoter elements, and expression patterns. The results showed that a total of 204 AP2/ERF transcription factors were identified in A. argyi genome, encoding proteins consisting of 88-483 amino acids with a relative molecular mass of 10-52.94 kDa and a theoretical isoelectric point of 4.62-9.88. Subcellular prediction showed that the majority of AP2/ERFs were located in the nucleus, cytoplasm, and the minority of them is located in the membrane and chloroplasts. According to the Arabidopsis AP2/ERF family classification, A. argyi AP2/ERF proteins were divided into four subfamilies: Soloist, AP2, ERF (B3, B4, B5, B6), and DREB (A1, A2, A4, A5, A6), among which DREB family accounted for the largest proportion, and the same subfamily had similar conserved motifs. cis-Acting element analysis showed that AP2/ERF promoters have a large number of elements responding to light and abiotic stress. Expression pattern analysis showed that most of the genes of the AP2/ERF family were dominantly expressed mainly in roots and stems, of which 19 were dominantly expressed in leaves, 77 would be induced to be expressed by methyl jasmonate, of which 16 genes were both dominantly expressed in leaves and induced to be expressed by methyl jasmonate, and these AP2/ERF genes may be the key regulatory genes for the synthesis of active ingredients in A. argyi leaves.This study lays the foundation for the functional study of AP2/ERF family genes and their regulating roles in the active components biosynthesis in A. argyi leaves.

BACKGROUNDNontuberculous Mycobacterium (NTM) bloodstream infection (BSI) is relatively rare. We aimed in this study to evaluate the clinical characteristics, laboratory evaluation, and outcomes of patients with NTM BSI.

METHODSWe retrospectively reviewed the clinical records of inpatients with NTM BSI at our institution between January 2008 and January 2015 and recorded clinical parameters including age, gender, underlying disease, clinical manifestation, organs involved with NTM disease, species of NTM, laboratory data, treatment and outcome of these patients. We also reviewed the reported cases and case series of NTM BSI by searching PubMed, EMBASE, and Wanfang databases. Data of normal distribution were expressed by mean ± standard deviation (SD). Data of nonnormal distribution were expressed by median and interquartile range (IQR).

RESULTSAmong the ten patients with NTM BSI, the median age was 51 years (IQR 29-57 years) and three patients were males. Eight patients were immunocompromised, with underlying diseases including human immunodeficiency virus (HIV) infection (one patient), rheumatic diseases (two patients), breast cancer (one patient), myelodysplastic syndrome (two patients), and aplastic anemia (two patients). Other organ(s) involved were lung (two patients), endocardium (two patients), brain, spinal cord, and soft tissue (one each patient). The median lymphocyte was 0.66 × 109/L (IQR 0.24-1.93 × 109/L). The median cluster of differentiation 4 (CD4) cell count was 179/mm3 (IQR 82-619/mm3). Five patients died (three with hematological diseases, one with breast cancer, and one with rheumatic disease), three recovered, and two were lost to follow-up.

CONCLUSIONSWe reported all cases in our hospital diagnosed with bloodstream NTM infection that was rarely reported. In this group of patients, patients usually had a high fever and could have multiple organ involvements. All patients with poor prognosis had underlying diseases.

Adult ; Bacteremia ; diagnosis ; pathology ; China ; Female ; Humans ; Male ; Middle Aged ; Mycobacterium Infections, Nontuberculous ; diagnosis ; pathology ; Prognosis ; Retrospective Studies ; Tertiary Care Centers

Objective: To explore a novel method for preoperative precision assessment of centrally located hepatocellular carcinoma(HCC) with blood vessel as axis based on three-dimensional(3D) visualization and virtual reality(VR) technology and its application values. Methods: High-quality thin-layer enhanced CT data were collected from 20 patients with centrally located HCC who treated at First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University from March 2017 to August 2018 diagnosed by preoperative examination. There were 18 males and 2 females, aged 28 to 69 years, all of Child-Pugh grade A. First of all, 3D reconstruction was performed by a 3D visualization software; then, the reconstructed 3D image was imported into VR development engine for VR research; afterwards, the analysis and evaluation system with blood vessel as axis was established based on 3D visualization classification of centrally located HCC; therefore, the relationship of the tumor to its major peripheral blood vessels was accurately judged and the surgical planning was formulated. Two images were brought into the operating room for navigation in surgery. The assessments results of preoperative data (CT and (or) MRI) and three-dimensional visualization of blood vessels in VR environment were compared; the values of the preoperative and postoperative hemoglobin, serum albumin and bilirubin were recorded and compared. Chi-square test, t-test and non-parametric test were used for the analysis of counting data, continuous measurement data and non-normal distribution measurement data, respectively. Results: 3D visualization modeling was completed in all of the 20 patients with centrally located HCC. According to the results of 3D visualization classification of centrally located HCC, there were 3 cases of type Ⅰ,1 case of type Ⅱ,4 cases of type Ⅲ,7 cases of type Ⅳ and 5 cases of type Ⅴ; according to the assessment and classification based on blood vessel as the axis, there were 6 cases of type Ⅰa,2 cases of type Ⅰb,2 cases of type Ⅱa,9 cases of type Ⅱb and 1 case of type Ⅱc. All patients underwent successful resection of tumor under the guidance of 3D visualization and VR technology. There were 15 cases whose assessment results based on preoperative CT/MRI were consistent with intraoperative findings, with a coincidence rate of 75.0%(15/20); while in VR environment, the assessment results of 3D visualization with blood vessel as axis were all consistent with the intraoperative findings, with coincidence rate of 100%(20/20). There was a statistically significant difference between the groups (χ²=5.714, P=0.017). There was no red blood cell transfusion in all patients during the operation. The preoperative hemoglobin was (128.8±14.9)g/L, and it was (119.8±12.5)g/L on postoperative day 1. There was no significant difference between these two sets of data (t=2.07, P=0.054). No death during the perioperative period and no complications such as hepatic failure, hemorrhage and biliary fistula after operation occurred. Conclusion Preoperative evaluation based on 3D visualization and VR technology with blood vessel as the axis has significant clinical value for preoperative planning and surgical navigation of centrally located HCC.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.