Identifying Diagnostic and Prognostic Differentially Expressed Genes of Gastric Cancer Based on Bioinformatics Analyses of RNA-seq Data.

Background: The abnormal expression of genes in serum may be associated with early diagnosis of patients with malignant tumors. This study was designed to screen for significantly differentially expressed genes (DEGs) that may be associated with gastric cancer using bioinformatic methods. Methods: RNA-seq data from gastric cancers were downloaded from the TCGA and GEO databases, and 1903 secretory genes were downloaded from the HPA database. The diagnostic secretory RNAs of gastric cancer were screened using least absolute shrinkage and selection operator regression analysis. Univariate Cox regression analysis was used to evaluate the prognostic significance of the results. Biological functions were performed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Then, 640 cases of gastric cancer and paracancerous tissues were collected, and immunohistochemistry (IHC) was used to detect the expression of COL4A1. Results: In total, 25 upregulated differentially expressed genes (DEGs) were identified, which were secreted mainly in the blood and cell matrices. Six secretory genes (OLFM4, CEMIP, APOC1, CST1, COL4A1, and CD55) with diagnostic significance were identified, and the enrichment scores of these six genes were significantly associated with tumor stage. In addition, we found that increased COL4A1 expression might be associated with a poor prognosis in patients with gastric cancer. Based on GO and KEGG analyses, we found COL4A1-related DEGs were mainly enriched in connective tissue development, collagen fibrous tissue-related processes, extracellular structure, extracellular matrix (ECM) tissue, and related to the ECM receptor-related pathway, focal adhesion, and PI3K-Akt signaling pathway. Moreover, the results of immunohistochemical analyses showed that the COL4A1 protein level in gastric cancers was also higher than in the matched paracancerous tissues. Conclusions: In this study, we found six upregulated secretory genes, including OLFM4, CEMIP, APOC1, CST1, COL4A1, and CD55 which we hypothesized to be significant DEGs for the diagnosis of gastric cancer. Our data also suggest that COL4A1 may play an important role in the diagnosis and prognosis of gastric cancer.

The Application of Two-Stage Operation for High-Risk Patients with Oesophageal Cancer Following Gastrectomy.

BACKGROUND: Oesophageal replacement by colonic interposition remains a major challenge due to its complexity and high incidence of complications; here we applied the two-stage operation strategy to oesophageal replacement by colonic interposition in high-risk oesophageal cancer patients following gastrectomy. METHODS: We performed a retrospective analysis on the data of patients with a history of distal gastrectomy who underwent one-stage and two-stage oesophageal replacement by colonic interposition from February 2012 to February 2020, and explored the relationship between the staging strategy and postoperative outcomes. RESULTS: The clinical data of 93 patients were collected and analysed. There were no significant differences in the patients' characteristics between the two groups (all p > 0.05), except for comorbidities and Charlson Comorbidity Index (all p < 0.05). The Clavien-Dindo score between the two groups was also not significantly different (p > 0.05). The logistic regression models revealed that patients who had received preoperative therapy had a higher Clavien-Dindo score (p < 0.05), but the stage strategy did not (p > 0.05). CONCLUSIONS: The two-stage operation is feasible in high-risk patients who need to undergo colonic interposition for oesophageal replacement. At the same time, it lowers the technical threshold of colonic interposition for oesophageal replacement, increasing this surgical technique's acceptability.

Defect Passivation by a Multifunctional Phosphate Additive toward Improvements of Efficiency and Stability of Perovskite Solar Cells.

The quality of perovskite films plays a crucial role in the performance of the corresponding devices. However, the commonly employed perovskite polycrystalline films often contain a high density of defects created during film production and cell operation, including unsaturated coordinated Pb2+ and Pb0, which can act as nonradiative recombination centers, thus reducing open-circuit voltage. Effectively eliminating both kinds of defects is an important subject of research to improve the power conversion efficiency (PCE). Here, we employ hydrogen octylphosphonate potassium (KHOP) as a multifunctional additive to passivate defects. The molecule is introduced into perovskite precursor solution to regulate the perovskite film growth process by coordinating with Pb, which can not only passivate the Pb2+ defect but also effectively inhibit the production of Pb0; at the same time, the presence of K+ reduces device hysteresis by inhibiting I- migration and finally realizes double passivation of Pb2+ and I--based defects. Moreover, the moderate hydrophobic alkyl chain in the molecule improves the moisture stability. Ultimately, the optimal efficiency can reach 22.21%.

Hydroxycinnamic Acid Amide Dimers from Goji Berry and Their Potential Anti-AD Activity.

Three undescribed hydroxycinnamic acid amide dimers 1-3 were isolated and identified from an extract of Goji berry. Their molecular structures were elucidated based on NMR, MS, and IR spectra analysis. Compounds 1-3 were hydroxycinnamic acid amide dimers, which possess a cyclic butane moiety formed by head-to-head connection. These compounds at 25 µM showed the disaggregation potency on the copper-mediated Aß1-42 aggregation ranging from 27.3±3.2 to 31.0±2.9 %. This study provides new information on the antiaging traditional usage of goji berry.

Developing a Peak Extraction and Retention (PEER) Algorithm for Improving the Temporal Resolution of Raman Spectroscopy.

In spectroscopic analysis, push-to-the-limit sensitivity is one of the important topics, particularly when facing the qualitative and quantitative analyses of the trace target. Normally, the effective recognition and extraction of weak signals are the first key steps, for which there has been considerable effort in developing various denoising algorithms for decades. Nevertheless, the lower the signal-to-noise ratio (SNR), the greater the deviation of the peak height and shape during the denoising process. Therefore, we propose a denoising algorithm along with peak extraction and retention (PEER). First, both the first and second derivatives of the Raman spectrum are used to determine Raman peaks with a high SNR whose peak information is kept away from the denoising process. Second, an optimized window smoothing algorithm is applied to the left part of the Raman spectrum, which is combined with the untreated Raman peaks to obtain the denoised Raman spectrum. The PEER algorithm is demonstrated with much better signal extraction and retention and successfully improves the temporal resolution of Raman imaging of a living cell by at least 1 order of magnitude higher than those by traditional algorithms.

Frequency-Specific Changes of Resting Brain Activity in Parkinson's Disease: A Machine Learning Approach.

The application of resting state functional MRI (RS-fMRI) in Parkinson's disease (PD) was widely performed using standard statistical tests, however, the machine learning (ML) approach has not yet been investigated in PD using RS-fMRI. In current study, we utilized the mean regional amplitude values as the features in patients with PD (n = 72) and in healthy controls (HC, n = 89). The t-test and linear support vector machine were employed to select the features and make prediction, respectively. Three frequency bins (Slow-5: 0.0107-0.0286 Hz; Slow-4: 0.0286-0.0821 Hz; conventional: 0.01-0.08 Hz) were analyzed. Our results showed that the Slow-4 may provide important information than Slow-5 in PD, and it had almost identical classification performance compared with the Combined (Slow-5 and Slow-4) and conventional frequency bands. Similar with previous neuroimaging studies in PD, the discriminative regions were mainly included the disrupted motor system, aberrant visual cortex, dysfunction of paralimbic/limbic and basal ganglia networks. The lateral parietal lobe, such as right inferior parietal lobe (IPL) and supramarginal gyrus (SMG), was detected as the discriminative features exclusively in Slow-4. Our findings, at the first time, indicated that the ML approach is a promising choice for detecting abnormal regions in PD, and a multi-frequency scheme would provide us more specific information.

An alkynyl-protected Au40 nanocluster featuring PhC[triple bond, length as m-dash]C-Au-P

An alkynyl-protected gold nanocluster [Au40(PhC[triple bond, length as m-dash]C)20(dppm)4](SbF6)4 (dppm = bis(diphenylphosphino)methane) (1) has been synthesized. Single-crystal X-ray diffraction reveals that the cluster has a face-centered cubic (FCC) Au34 kernel that is made up of two Au20 units via sharing a rectangular face. Two linear PhC[triple bond, length as m-dash]C-Au-C[triple bond, length as m-dash]CPh staple motifs are located around the central part of the Au34 core, and four L-shaped PhC[triple bond, length as m-dash]C-Au-P^P staple motifs are located at the four corners of the Au34 core. Cluster 1 and [Au38(PhC[triple bond, length as m-dash]C)20(PPh3)4](CF3SO3)2 both have the FCC Au34 core, and it is found that the diphosphine ligands bringing two more Au atoms into the system have significant effects on the optical properties and stability of the clusters. The combination of a diphosphine ligand and an alkynyl ligand is helpful in generating new ligand-protected metal nanoclusters.

Isolation and Total Structure Determination of an All-Alkynyl-Protected Gold Nanocluster Au144.

Total structure determination of a ligand-protected gold nanocluster, Au144 , has been successfully carried out. The composition of title nanocluster is Au144 (C≡CAr)60 (1; Ar=2-FC6 H4 -). The cluster 1 exhibits a quasi-spherical Russian doll-like architecture, comprising a Au54 two-shelled Mackay icosahedron (Au12 @Au42 ), which is further enclosed by a Au60 anti-Mackay icosahedral shell. The Au114 kernel is enwrapped by thirty linear ArC≡C-Au-C≡CAr staple motifs. The absorption spectrum of 1 shows two bands at 560 and 620 nm. This spectrum is distinctly different from that of thiolated Au144 , which was predicted to have an almost identical metal kernel and very similar ligands arrangement in 1. These facts indicate the molecule-like behavior of 1 and significant involvement of ligands in the electronic structure of 1. The cluster 1 is hitherto the largest coinage metal nanocluster with atomically precise molecular structure in the alkynyl family. The work not only addresses the concern of structural information of Au144 , which had been long-pursued, but also provides an interesting example showing ligand effects on the optical properties of ligand protected metal nanoclusters.

Dye-Doped Fluorescent Silica Nanoparticles for Live Cell and In Vivo Bioimaging.

The need for novel design strategies for fluorescent nanomaterials to improve our understanding of biological activities at the molecular level is increasing rapidly. Dye-doped fluorescent silica nanoparticles (SiNPs) emerge with great potential for developing fluorescence imaging techniques as a novel and ideal platform for the monitoring of living cells and the whole body. Organic dye-containing fluorescent SiNPs exhibit many advantages: they have excellent biocompatibility, are non-toxic, highly hydrophilic, optically transparent, size-tunable and easily modified with various biomolecules. The outer silica shell matrix protects fluorophores from outside chemical reaction factors and provides a hydrophilic shell for the insoluble nanoparticles, which enhances the photo-stability and biocompatibility of the organic fluorescent dyes. Here, we give a summary of the synthesis, characteristics and applications of fluorescent SiNPs for non-invasive fluorescence bioimaging in live cells and in vivo. Additionally, the challenges and perspectives of SiNPs are also discussed. We prospect that the further development of these nanoparticles will lead to an exciting breakthrough in the understanding of biological processes.

[Lemierre syndrome caused by Arcanobacterium haemolyticum: a case report and review of the literature].

OBJECTIVE: To emphasize the importance of the early diagnosis and treatment of Lemierre syndrome caused by Arcanobacterium haemolyticum. METHOD: A case of Lemierre syndrome caused by Arcanobacterium haemolyticum and three similar reported cases were reviewed. RESULTS: A man complained of fever with a sore throat, and examination found an enlarged left tonsil with prominent exudate, normal blood routine test and chest radiograph. Although the patient received the treatment of penicillin G and azithromycin, his condition worsened. Blood test showed white blood cell count 13.59×10(9)/L (neutrophils 0.933), platelet count 7.4×10(9)/L, TBil 54.3 mmol/L, DBil 28.3 mmol/L, AST 127 IU/L, ALT 82 IU/L, serum albumin 19.3 g/L with the development of the conditions. Blood cultures grew Arcanobacterium haemolyticum and the piperacillin-tazobactam was administered until fever was controlled. In addition, anticoagulation was administered when the thrombus was confirmed in the left internal jugular vein. Two follow-up clinic visits over the following 4 months were unremarkable. Besides three similar cases reported, four patients were male, and the ages ranged from 19 to 54 years. The chief complaints were sore throat and fever (4/4), with neck pain (4/4). Physical examinations found pharyngitis (2/4), exudate or abscess in the tonsillar crypt (2/4), maculopapular rashes (2/4). Laboratory results showed leukocytosis and thrombocytopaenia (4/4), acute cholestatic liver dysfunction (3/4), acute renal failure (2/4), acute respiratory failure (1/4). The first chest radiographs were normal at the onset, but chest radiography features included peripheral nodules and cavitation (3/4), focal or wedge-shaped lesions (1/4), pleural effusion (1/4) with the development of the conditions. Blood culture proved that there was only growth of Arcanobacterium haemolyticum (2/4), both Fusobacterium necrophorum and Arcanobacterium haemolyticum were found (2/4). Amoxicillin/clavulanic acid or piperacillin/tazobactam was administered (4/4). Neck CT proved internal jugular vein thrombosis (3/4) and anticoagulation was administered (3/4). All patients recovered and no one died. CONCLUSIONS: The characters of Lemierre syndrome include primary oropharynx infection, septicaemia, septic or embolic phlebitis of jugular vein, and metastatic abscess. Early recognition and aggressive intravenous broad-spectrum antibiotics are critical to reduce mortality.