Identifying TAD-like domains on single-cell Hi-C data by graph embedding and changepoint detection.

MOTIVATION: Topologically associating domains (TADs) are fundamental building blocks of 3D genome. TAD-like domains in single cells are regarded as the underlying genesis of TADs discovered in bulk cells. Understanding the organization of TAD-like domains helps to get deeper insights into their regulatory functions. Unfortunately, it remains a challenge to identify TAD-like domains on single-cell Hi-C data due to its ultra-sparsity. RESULTS: We propose scKTLD, an in silico tool for the identification of TAD-like domains on single-cell Hi-C data. It takes Hi-C contact matrix as the adjacency matrix for a graph, embeds the graph structures into a low-dimensional space with the help of sparse matrix factorization followed by spectral propagation, and the TAD-like domains can be identified using a kernel-based changepoint detection in the embedding space. The results tell that our scKTLD is superior to the other methods on the sparse contact matrices, including downsampled bulk Hi-C data as well as simulated and experimental single-cell Hi-C data. Besides, we demonstrated the conservation of TAD-like domain boundaries at single-cell level apart from heterogeneity within and across cell types, and found that the boundaries with higher frequency across single cells are more enriched for architectural proteins and chromatin marks, and they preferentially occur at TAD boundaries in bulk cells, especially at those with higher hierarchical levels. AVAILABILITY AND IMPLEMENTATION: scKTLD is freely available at https://github.com/lhqxinghun/scKTLD.

Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model.

PURPOSE: To investigate the pharmacokinetic changes of linezolid in patients with hepatic impairment and to explore a method to predict linezolid exposure. METHODS: Patients with hepatic impairment who received linezolid were recruited. A population pharmacokinetic model (PPK) was then built using NONMEM software. And based on the final model, virtual patients with rich concentration values was constructed through Monte Carlo simulations (MCS), which were used to build machine learning (ML) models to predict linezolid exposure levels. Finally, we investigated the risk factors for thrombocytopenia in patients included. RESULTS: A PPK model with population typical values of 3.83 L/h and 34.1 L for clearance and volume of distribution was established, and the severe hepatic impairment was identified as a significant covariate of clearance. Then, we built a series of ML models to predict the area under 0 -24 h concentration-time curve (AUC0-24) of linezolid based on virtual patients from MCS. The results showed that the Xgboost models showed the best predictive performance and were superior to the methods for estimating linezolid AUC0-24 based on though concentration or daily dose. Finally, we found that baseline platelet count, linezolid AUC0-24, and combination with fluoroquinolones were independent risk factors for thrombocytopenia, and based on this, we proposed a method for calculating the toxicity threshold of linezolid. CONCLUSION: In this study, we successfully constructed a PPK model for patients with hepatic impairment and used ML algorithm to estimate linezolid AUC0-24 based on limited data. Finally, we provided a method to determine the toxicity threshold of linezolid.

Metabolic biomarkers significantly enhance the prediction of HBV-related ACLF occurrence and outcomes.

BACKGROUND & AIMS: Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality in patients with chronic liver disease. Chronic hepatitis B is the main cause of ACLF (HBV-ACLF) in China and other Asian countries. To improve disease management and survival for patients with ACLF, we aimed to discover novel biomarkers to enhance HBV-ACLF diagnosis and prognostication. METHODS: We performed a metabolomics profiling of 1,024 plasma samples collected from patients with HBV-related chronic liver disease with acute exacerbation at hospital admission in a multi-year and multi-center prospective study (367 ACLF and 657 non-ACLF). The samples were randomly separated into equal halves as a discovery set and a validation set. We identified metabolites associated with 90-day mortality in the ACLF group and the progression to ACLF within 28 days in the non-ACLF group (pre-ACLF) using statistical analysis and machine learning. We developed diagnostic algorithms in the discovery set and used these to assess the findings in the validation set. RESULTS: ACLF significantly altered the plasma metabolome, particularly in membrane lipid metabolism, steroid hormones, oxidative stress pathways, and energy metabolism. Numerous metabolites were significantly associated with 90-day mortality in the ACLF group and/or pre-ACLF in the non-ACLF group. We developed algorithms for the prediction of 90-day mortality in patients with ACLF (area under the curve 0.87 and 0.83 for the discovery set and validation set, respectively) and the diagnosis of pre-ACLF (area under the curve 0.94 and 0.88 for the discovery set and validation set, respectively). To translate our discoveries into practical clinical tests, we developed targeted assays using liquid chromatography-mass spectrometry. CONCLUSIONS: Based on novel metabolite biomarkers, we established tests for HBV-related ACLF with higher accuracy than existing methods. CLINICAL TRIAL NUMBER: NCT02457637 and NCT03641872. IMPACT AND IMPLICATIONS: Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality affecting 25% of patients hospitalized with cirrhosis. Chronic hepatitis B is the main etiology of ACLF in China and other Asian counties. There is currently no effective therapy. Early diagnosis and accurate prognostication are critical for improving clinical outcomes in patients with ACLF. Based on novel metabolite biomarkers, we developed liquid chromatography-mass spectrometry tests with improved accuracy for the early diagnosis and prognostication of HBV-related ACLF. The liquid chromatography-mass spectrometry tests can be implemented in clinical labs and used by physicians to triage patients with HBV-related ACLF to ensure optimized clinical management.

Measurement of tigecycline in dried blood spots by LC-MS/MS and comparison tigecycline concentrations between whole blood and plasma.

RATIONALE: An LC-MS/MS method was established to measure tigecycline in dried blood spots (DBSs). METHODS: The DBS specimens obtained by applying 30 µl of blood to filter paper were extracted with hydrogen oxide and subsequently precipitated protein with perchloric acid, then the extract was directly analyzed by liquid chromatography tandem mass spectrometry. A Hypersil GOLD aQ column was utilized for separating the analytes, and detection was carried out in positive and selective reaction monitoring modes. The precursors to product ion transitions m/z 586.3 → 513.1 and m/z 586.3 → 569.2 were monitored for tigecycline, and m/z 473.2 → 456.0 and m/z 473.2 → 367.0 for 9-amino minocycline as internal standard. RESULTS: The validation parameters of specificity and selectivity, linearity (0.02-5 µg ml-1 ), sensitivity (limit of quantification 0.02 µg ml-1 ), intra- and interday precision (within 15%) and relative error (within ±15%) were acceptable. The recoveries were from 84.65% to 90.49% and from 85.41% to 95.72% for tigecycline and internal standard, respectively, and the matrix effect was not evident to influence accuracy. The impact of hematocrit on measurement of the analyte was negligible, and after preserving at ambient temperature for 24 h and at 4°C for 1 month it remained steady. CONCLUSIONS: The advantages of nonintrusive blood collection and micro-volume sample requirements make DBS a potent surrogate to conventional venepuncture for sampling.

Serum Proteomic Analysis by Nanoflow LC-MS/MS-Based Proteomics in IgA Chronic Kidney Disease.

BACKGROUND: IgA nephropathy (IgAN) is the most frequently occurring primary glomerulonephritis. A lack of specific biomarkers hinders the early diagnosis and treatment of this disease. This study analyzes and validates potential serum biomarkers using mass spectrometry proteomics. METHODS: Global proteomics profiles of serum from 60 patients with IgAN and 43 healthy control subjects were compared to identify significantly changed proteins. These proteins were validated with targeted proteomics using parallel reaction monitoring (PRM) in an independent validation set consisting of samples from 67 different stage IgAN patients and 60 healthy controls. RESULTS: A total of 37 significantly changed proteins were found in the discovery set, among which 18 proteins were identified as potential biomarkers for IgAN through PRM assays in the validation set. Of these 18 proteins, IgGFc-binding protein, MS-A1 light chain variable region, transthyretin, ficolin-3, and myosin-reactive immunoglobulin light chain variable region were up-regulated in different IgAN stages, B cell receptor heavy chain variable region, rheumatoid factor RF-ET6, heavy chain Fab, cryocrystalglobulin CC1 heavy chain variable region, FLJ94213, lumican, and Q68CN4 (uncharacterized protein) were down-regulated in different IgAN stages. These proteins support previous findings that CKD is accompanied by altered immune response. CONCLUSIONS: This study lays the groundwork for additional research using biomarkers to clinically diagnose IgAN. These proteins are potential molecular markers that could help us understand the potential molecular mechanism of IgAN.

Proteome profiling of gestational diabetes mellitus at 16-18 weeks revealed by LC-MS/MS.

BACKGROUND: The practices used to diagnose gestational diabetes mellitus (GDM) could only be carried out around the time of detectable symptoms, and predictive capacity is little. METHODS: LC-MS/MS was conducted to explore overview proteomics for GDM complicated pregnant woman at 16-18 gestation weeks, while normal pregnant for control. Enzyme-linked immunosorbent assay was further applied in an independent cohort of 15 GDM cases and 15 controls for verification. RESULTS: The results indicated that 24 protein expression levels were significantly changed in GDM group samples, and inflammation, oxidative stress, insulin resistance, blood coagulation, and lipid homeostasis were associated with GDM. The abnormal expression of CRP and IGFBP2 was verified in the first-trimester maternal plasma in women who subsequently developed GDM. CONCLUSIONS: This study not only identified 24 potential predictive biomarkers for GDM also provided a global overview of protein rearrangements induced by GDM.

Paediatric acute kidney injury induced by vancomycin monotherapy versus combined vancomycin and meropenem.

WHAT IS KNOWN AND OBJECTIVE: Increasing reports of the combined use of vancomycin (VAN) and piperacillin/tazobactam leading to higher nephrotoxicity have led to carbapenems being recommended as an alternative option to combine with VAN when nephrotoxicity is a major concern. However, whether carbapenems also increase the nephrotoxicity of VAN is unclear. This study aimed to determine whether meropenem is a suitable drug to combine with VAN based on whether meropenem enhances the nephrotoxicity of VAN. METHODS: This retrospective cohort study enrolled hospitalized children ranging in age from 1 month to 18 years at two tertiary hospitals from 1 February 2017 to 1 February 2018. Patients treated with either VAN or combined VAN and meropenem (VM) for more than 48 hours were eligible for inclusion. Those with underlying kidney diseases or abnormal age-adjusted baseline serum creatinine (SCr) at admission were excluded. Propensity score matching (PSM) was applied to the patients to balance factors associated with acute kidney injury (AKI). In addition, VAN trough concentrations were also compared. AKI was defined as an increase in SCr by ≥50% from baseline or by ≥0.3 mg/dL sustained over at least two consecutive measurements ranging from the time of initiation until 72 hours after the completion of VAN therapy. RESULTS AND DISCUSSION: The eligibility criteria were met by 183 of 243 identified patients: 101 patients received VAN alone and 82 received VM. PSM resulted in 154 hospitalized children being included (77 patients in each group). The incidence of AKI was 10.7% (8/77) in both of the compared groups, while the VAN trough concentration was significantly higher in the VM group (9.0 mg/L) than in the VAN group (6.6 mg/L, P = 0.007) after controlling for confounders. WHAT IS NEW AND CONCLUSION: Despite the elevated VAN trough concentration, meropenem did not increase the nephrotoxicity of VAN and might therefore be an acceptable antibiotic to combine with VAN when necessary.

Thoracic tumor resection combined with SVC replacement using autologous pericardium.

BACKGROUND: Invasion of the superior vena cava (SVC) by thoracic tumors and occurrence of SVC syndrome are often encountered in clinical practice; but the prognosis in these cases is poor. Replacement of the SVC with autologous pericardial tissue is rarely performed. In this study, we sought to investigate the postoperative outcomes of this rare procedure. METHODS: We performed a retrospective analysis of six patients who underwent SVC replacement using autologous pericardial tissue between October 2010 and November 2016. We collected data on the patients' pathological features, operative characteristics, postoperative outcomes, and survival. RESULTS: All six patients were male with an average age of 52 years (range, 18-62 years). Three of the patients had lung cancer, one had stage III thymoma, and two had germinoma. Four of the six patients had mild or moderate superior vena cava compression and no corresponding clinical symptoms. The other two patients had severe compression and obvious symptoms of SVC syndrome, with the typical swelling of the face, eyelids, and upper extremities. All six patients underwent complete tumor resection, with two of the lung cancer patients undergoing right lobectomy and one undergoing right pneumonectomy. With respect to the postoperative outcomes, one patient died, whereas the others did not develop any major complications. At the end of the follow-up period, five of the patients were alive and none of the patients had developed thrombosis in the grafts. CONCLUSIONS: Our findings indicated that SVC replacement with autologous pericardium is technically feasible and safe, with few postoperative complications and favorable long-term effects. Although it has some limitations, this method appears to be useful in achieving SVC reconstruction of moderate size. SVC replacement with autologous pericardium appears to have the potential for widespread clinical use.

Development and validation of a liquid chromatography/tandem mass spectrometry method for determination of caspofungin in dried blood spots.

RATIONALE: A liquid chromatography/tandem mass spectrometry (LC/MS/MS) method for quantification of caspofungin in dried blood spots (DBS) was developed and validated. METHODS: The DBS samples were prepared by spotting whole blood onto Whatman 903 filter paper, drying at room temperature and extracting with 50% methanol and further cleaned by protein precipitation with acetonitrile. Roxithromycin was selected as internal standard, and the separation of the analytes with endogenous ingredients was accomplished on a Hypersil GOLD aQ column with a mobile phase composed of 0.1% formic acid (v/v) and methanol in gradient mode. The detection of the analytes was performed on a triple quadrupole mass spectrometer in positive electrospray ionization mode, and the following selective reaction monitoring (SRM) transitions were monitored: m/z 547.6 â†’ 538.7 and 837.4→ 679.4 for quantification of caspofungin and the internal standard, respectively. RESULTS: The total analytical time was 8 min for each run. The calibration curve exhibited a good linearity over the range from 0.2 to 20 µg/mL and the lower limit of quantification (LLOQ) was 0.2 µg/mL for caspofungin in DBS. The recoveries of caspofungin ranged from 62.64% to 76.69%, and no obvious matrix effect was observed. The intra- and inter-day precision and accuracy were within acceptable limits, and caspofungin in DBS was stable after storage at room temperature for 24 h and at -80°C for 30 days. There was no evident effect of the hematocrit value on the analysis of caspofungin. CONCLUSIONS: The proposed method presents an alternative to the conventional venous sampling method, and was successfully utilized for pharmacokinetics study of caspofungin in ICU patients.

Highly Compressible Integrated Supercapacitor-Piezoresistance-Sensor System with CNT-PDMS Sponge for Health Monitoring.

Rapid improvement of wearable electronics stimulates the demands for the matched functional devices and energy storage devices. Meanwhile, wearable microsystem requires every parts possessing high compressibility to accommodate large-scale mechanical deformations and complex conditions. In this work, a general carbon nanotube-polydimethylsiloxane (CNT-PDMS) sponge electrode is fabricated as the elementary component of the compressible system. CNT-PDMS sponge performs high sensitivity as a piezoresistance sensor, which is capable of detecting stress repeatedly and owns great electrochemical performance as a compressible supercapacitor which maintains stably under compressive strains, respectively. Assembled with the piezoresistance sensor and the compressible supercapacitor, such highly compressible integrated system can power and modulate the low-power electronic devices reliably. More importantly, attached to the epidermal skin or clothes, it can detect human motions, ranging from speech recognition to breathing record, thus showing feasibility in real-time health monitor and human-machine interfaces.

Microsphere-Assisted Robust Epidermal Strain Gauge for Static and Dynamic Gesture Recognition.

A novel and robust epidermal strain gauge by using 3D microsphere arrays to immobilize, connect, and protect a multiwalled carbon nanotubes (MWNTs) pathway is presented. During the solvent deposition process, MWNTs sedimentate, self-assemble, and wrap onto surface of polystyrene (PS) microspheres to construct conductive networks, which further obtain excellent stretchability of 100% by combining with commercially used elastomer. Benefiting from its 3D conductive pathway defined by microspheres, immobilized MWNT (I-MWNT) network can be directly used in practical occasions without further packaging and is proved by tape tests to be capable of defend mechanical damage effectively from external environment. By parameter optimization, the strain sensor with 3 µm PS spheres obtains stable resistive responses for more than 1000 times, and maintains its gauge factor (GF) of 1.35. This thin-film conductive membrane built by this effective construction method can be easily attached onto fingers of both robot and human, and is demonstrated in sensitive epidermal strain sensing and recognizing different hand gestures effectively, in static and dynamic modes, respectively.

Granulocyte-macrophage colony-stimulating factor increases tumor growth and angiogenesis directly by promoting endothelial cell function and indirectly by enhancing the mobilization and recruitment of proangiogenic granulocytes.

Granulocyte-macrophage colony-stimulating factor has been widely used as an adjuvant therapy for cancer patients exhibiting myelosuppression induced by chemotherapy or radiotherapy. However, the effects of granulocyte-macrophage colony-stimulating factor on tumor growth, as well as its precise mechanism, are still controversial due to inconsistent evidence. This study investigated the effect of exogenous granulocyte-macrophage colony-stimulating factor on the growth of B16 melanoma, S180 sarcoma, and U14 cervical carcinoma in mice. The angiogenesis and recruitment of bone-marrow-derived cells were analyzed in tumor tissues. Interactions among granulocyte-macrophage colony-stimulating factor, bone-marrow-derived cells, and B16 tumor cells were investigated in vitro. Proangiogenic types of bone-marrow-derived cells in blood were assessed both in vivo and in vitro. The results showed that granulocyte-macrophage colony-stimulating factor markedly facilitated the growth of B16 and S180 tumors, but not U14 tumors. Granulocyte-macrophage colony-stimulating factor increased the densities of blood vessels and the number of bone-marrow-derived cells in B16 tumor tissues. The granulocyte-macrophage colony-stimulating factor-induced enhancement of tumor cell proliferation was mediated by bone-marrow-derived cells in vitro. Meanwhile, a distinct synergistic effect on endothelial cell function between granulocyte-macrophage colony-stimulating factor and bone-marrow-derived cells was observed. After separating two types of bone-marrow-derived cells, granulocyte-macrophage colony-stimulating factor-induced enhancement of tumor growth and angiogenesis in vivo was mediated by proangiogenic cells in granulocytes, but not monocytes, with CD11b+, vascular endothelial growth factor receptor 2, and C-X-C chemokine receptor 4 granulocytes possibly involved. These data suggest that granulocyte-macrophage colony-stimulating factor contributes to the growth and angiogenesis of certain types of tumor, and these mechanisms are probably mediated by proangiogenic cells in granulocytes. Applying granulocyte-macrophage colony-stimulating factor may attenuate the antitumor effects of chemotherapy and radiotherapy in certain types of tumor.

Single-Step Fluorocarbon Plasma Treatment-Induced Wrinkle Structure for High-Performance Triboelectric Nanogenerator.

A triboelectric nanogenerator (TENG) has been thought to be a promising method to harvest energy from environment. To date, the utilization of surface structure and material modification has been considered the most effective way to increase its performance. In this work, a wrinkle structure based high-performance TENG is presented. Using the fluorocarbon plasma treatment method, material modification and surface structure are introduced in one step. The output ability of TENG is dramatically enhanced. After the optimization of plasma treatment, the maximum current and surface charge density are 182 µA about 165 µC m(-2). Compared with untreated TENG, the wrinkle structure makes the current and surface charge density increase by 810% and 528%, separately. X-ray photoelectron spectroscopy is employed to analyze the chemical modification mechanism of this fluorocarbon plasma treatment. Facilitated by its high output performance, this device could directly light 76 blue light emitting diodes under finger typing. The output electric energy could be stored then utilized to power a commercial calculator. As a result of the simple fabrication process and high output ability, devices fabricated using this method could bring forward practical applications using TENGs as power sources.

Computational method for transmission eigenvalues for a spherically stratified medium.

We consider a computational method for the interior transmission eigenvalue problem that arises in acoustic and electromagnetic scattering. The transmission eigenvalues contain useful information about some physical properties, such as the index of refraction. Instead of the existence and estimation of the spectral property of the transmission eigenvalues, we focus on the numerical calculation, especially for spherically stratified media in R3. Due to the nonlinearity and the special structure of the interior transmission eigenvalue problem, there are not many numerical methods to date. First, we reduce the problem into a second-order ordinary differential equation. Then, we apply the Hermite finite element to the weak formulation of the equation. With proper rewriting of the matrix-vector form, we change the original nonlinear eigenvalue problem into a quadratic eigenvalue problem, which can be written as a linear system and solved by the eigs function in MATLAB. This numerical method is fast, effective, and can calculate as many transmission eigenvalues as needed at a time.

Identification of factors influencing the pharmacokinetics of voriconazole and the optimization of dosage regimens based on Monte Carlo simulation in patients with invasive fungal infections.

OBJECTIVES: The objective of this study was to estimate the population pharmacokinetics of voriconazole, to identify the factors influencing voriconazole pharmacokinetics and to identify optimal dosage regimens for attaining target pharmacokinetic/pharmacodynamic indices against Aspergillus and Candida infections in patients with invasive fungal infections (IFIs). METHODS: To prospectively quantify the relationships between the pharmacokinetic parameters of voriconazole and covariates, a population pharmacokinetic analysis was conducted on pooled data from 406 samples taken from 151 patients with IFIs. Voriconazole plasma concentrations were measured by HPLC. The following covariates were tested: demographic factors, laboratory data, concomitant medications and CYP2C19 genotype. Monte Carlo simulation was used to evaluate the effectiveness of the currently recommended dosage regimen and to design an optimized pharmacodynamic dosage strategy for voriconazole. RESULTS: The data were appropriately fit by a one-compartment model with first-order absorption and elimination. The voriconazole clearance (CL) was 6.95 L/h, the volume of distribution (V) was 200 L and the oral bioavailability (F) was 89.5%. CL was significantly associated with age, the serum concentration of alkaline phosphatase and the CYP2C19 genotype. Based on the results of the Monte Carlo stimulation, we concluded that Aspergillus infections could be treated effectively with 200 mg of voriconazole administered intravenously or orally twice daily and that Candida infections could be treated with 300 mg administered orally twice daily or with 200 mg administered intravenously twice daily. CONCLUSIONS: This study showed that optimal voriconazole dosage regimens could be determined successfully with prospective population pharmacokinetic analyses and Monte Carlo simulations.

Quantitative analysis and pharmacokinetics study of tigecycline in human serum using a validated sensitive liquid chromatography with tandem mass spectrometry method.

Tigecycline, a novel intravenously administered glycylcycline antibiotic, currently plays a key role in the management of complicated multiorganism infections. However, current liquid chromatography with tandem mass spectrometry methods briefly describe parameters and the only reported internal standard was sometimes difficult to obtain. In our study, an updated liquid chromatography with tandem mass spectrometry method for the quantitative analysis of tigecycline in human serum was developed. Sample preparation involved precipitation with 20% trichloroacetic acid. Chromatographic separation of tigecycline and tetracycline (internal standard) was achieved on a Hypersil GOLD C18 column using gradient elution. The selected reaction monitoring transitions were performed at m/z 586.1→513.2 for tigecycline and m/z 445.1→410.2 for tetracycline. The assay was linear over the concentration range of 5-2000 ng/mL. The intra- and interday precisions at three concentration levels (10, 100, and 1600 ng/mL) were <15% and their accuracies were within the range of 95.1-106.1%. The mean recovery ranged from 94.3 to 105.6% and the matrix effect from 92.1 to 97.6%. Tigecycline was stable under all tested conditions. This validated method was successfully applied to a pharmacokinetic study in critically ill patients. The data demonstrated that our method allows quantification of tigecycline in serum in a quick and reliable manner for widespread application.

Fascin-1 Promotes Cell Metastasis through Epithelial-Mesenchymal Transition in Canine Mammary Tumor Cell Lines.

Canine mammary tumors (CMTs) are the most common type of tumor in female dogs. In this study, we obtained a metastatic key protein, Fascin-1, by comparing the proteomics data of in situ tumor and metastatic cell lines from the same individual. However, the role of Fascin-1 in the CMT cell line is still unclear. Firstly, proteomics was used to analyze the differential expression of Fascin-1 between the CMT cell lines CHMm and CHMp. Then, the overexpression (CHMm-OE and CHMp-OE) and knockdown (CHMm-KD and CHMp-KD) cell lines were established by lentivirus transduction. Finally, the differentially expressed proteins (DEPs) in CHMm and CHMm-OE cells were identified through proteomics. The results showed that the CHMm cells isolated from CMT abdominal metastases exhibited minimal expression of Fascin-1. The migration, adhesion, and invasion ability of CHMm-OE and CHMp-OE cells increased, while the migration, adhesion, and invasion ability of CHMm-KD and CHMp-KD cells decreased. The overexpression of Fascin-1 can upregulate the Tetraspanin 4 (TSPAN4) protein in CHMm cells and increase the number of migrations. In conclusion, re-expressed Fascin-1 could promote cell EMT and increase lamellipodia formation, resulting in the enhancement of CHMm cell migration, adhesion, and invasion in vitro. This may be beneficial to improve female dogs' prognosis of CMT.

"Replica-extraction-transfer" nanostructure-initiator mass spectrometry imaging of acoustically printed bacteria.

Traditionally, microbes are studied under controlled laboratory conditions as isolates in planktonic culture. However, this is a vast extrapolation from their natural state; development of new techniques is required to decipher the largely unknown world of microbial chemical interactions in more realistic environments. The field of mass spectrometry imaging has made significant progress in localizing metabolites in and around bacterial colonies, primarily by using MALDI and ESI-based techniques that interrogate the top surface of the sample. Unfortunately, surface-based laser-desorption techniques, such as nanostructure-initiator mass spectrometry (NIMS), which has advantages in detection of small metabolite compounds and low background, has not been suitable for direct microbe imaging because desorption/ionization occurs on the bottom of the sample. Here, we describe a "replica-extraction-transfer" (REX) technique that overcomes this barrier by transferring biomolecules from agar cultures of spatially arrayed bacterial colonies onto NIMS surfaces; further, we demonstrate that acoustic printing of bacteria can be used to create complex colony geometries to probe microbial interactions with NIMS imaging. REX uses a solvent-laden semisolid (e.g., gel) to first extract metabolites from a microbial sample, such as a biofilm or agar culture; the metabolites are then replica "stamped" onto the NIMS surface. Using analytical standards we show that REX-NIMS effectively transfers and detects a range of small molecule compounds including amino acids and polyamines. This approach is then used to analyze the metabolite composition of streaked Shewanella oneidensis MR1 and Pseudomonas stutzeri RCH2 colonies and further resolve complex patterns produced by acoustic printing of liquid microbial cultures. Applying multivariate statistical analysis of the NIMS imaging data identified ions that were localized to different regions between and within colonies, as well as to the agar gel. Subsequent high-resolution tandem mass spectrometry was used to characterize two species-specific lipids that correlated with the spatial location of each microbial species and were found to be highly abundant in cell extracts. Overall, the use of acoustic printing of bacteria with REX-NIMS imaging will extend the range of analytical capabilities available for characterization of microbial interactions with mass spectrometry.

Induction of robust immunity response in mice by dual-expression-system-based recombinant baculovirus expressing the capsid protein of porcine circovirus type 2.

BACKGROUND: Porcine circovirus type 2 (PCV2) is associated with post-weaning multisystemic wasting syndrome (PMWS), an emerging swine disease that causes progressive weight loss, dyspnea, tachypnea, anemia, jaundice, and diarrhea in piglets. Although baculovirus is an enveloped virus that infects insects in nature, it has emerged as a vaccine vector, and we used it to develop a novel candidate vaccine for a preventive or therapeutic strategy to control PCV2 infections. METHODS: Immunoblotting analysis of recombinant baculovirus and immunofluorescent staining of baculovirus-infected cells were followed using anti-ORF2 monoclonal antibodies. The BALB/c mice were immunized intramuscularly with this baculovirus. The titers of antibodies were mensurated with a Cap-protein-specific enzyme-linked immunosorbent assay (ELISA) and a serum neutralization assay. The IFN-γ response in splenocytes harvested from immunized mice was measured by ELISA. Student's t-test was used to compare immune responses of different groups. RESULTS: In this study, we successfully constructed a dual-expression-system-based recombinant baculovirus BV-GD-ORF2, which can display the PCV2 capsid (Cap) protein and VSV-G protein on the viral envelope and also expressing Cap protein on transduced mammalian cells, thereby functioning as both a subunit and a DNA vaccine. After infection, the Cap protein was expressed and displayed on the viral surface, as demonstrated with an indirect fluorescence assay and immunoblotting. The vaccination of mice with recombinant baculovirus BV-GD-ORF2 successfully induced robust Cap-protein-specific humoral and cellular immune responses. CONCLUSIONS: Our findings collectively demonstrate that the recombinant baculovirus BV-GD-ORF2 is a potential vaccine against PCV2 infections.

Preclinical pharmacokinetic/pharmacodynamic models to predict schedule-dependent interaction between erlotinib and gemcitabine.

PURPOSE: To investigate the pharmacological effects of different erlotinib (ER) and gemcitabine (GM) combination schedules by in vitro and in vivo experiments and PK/PD models in non-small cell lung cancer cells. METHODS: H1299 cells were exposed to different ER combined with GM schedules. Cell growth inhibition was analyzed to evaluate these schedules. A preclinical in vivo study was then conducted to compare tumor suppression effects of different schedules in H1299 xenografts. PK/PD models were developed to quantify the anti-tumor interaction of ER and GM. RESULTS: Synergism was observed when ER preceded GM, but other sequences showed antagonism. The optimal in vitro schedule, or interval schedule, was applied to the animal study, which showed greater anti-tumor effect than simultaneous group. PK/PD models implied that interaction of the two drugs was additive in simultaneous treatment but synergistic in interval schedule. The simulation results showed that interval schedule can delay tumor growth for a longer time, and demonstrated more evident anti-tumor effect compared with simultaneous group if the treatment duration was longer. CONCLUSIONS: Interval schedule of the two drugs can achieve synergistic anti-tumor effect, and is superior to simultaneous treatment.