RESUMO
Rapid development and wide adoption of mass spectrometry-based glycoproteomic technologies have empowered scientists to study proteins and protein glycosylation in complex samples on a large scale. This progress has also created unprecedented challenges for individual laboratories to store, manage, and analyze proteomic and glycoproteomic data, both in the cost for proprietary software and high-performance computing and in the long processing time that discourages on-the-fly changes of data processing settings required in explorative and discovery analysis. We developed an open-source, cloud computing-based pipeline, MS-PyCloud, with graphical user interface (GUI), for proteomic and glycoproteomic data analysis. The major components of this pipeline include data file integrity validation, MS/MS database search for spectral assignments to peptide sequences, false discovery rate estimation, protein inference, quantitation of global protein levels, and specific glycan-modified glycopeptides as well as other modification-specific peptides such as phosphorylation, acetylation, and ubiquitination. To ensure the transparency and reproducibility of data analysis, MS-PyCloud includes open-source software tools with comprehensive testing and versioning for spectrum assignments. Leveraging public cloud computing infrastructure via Amazon Web Services (AWS), MS-PyCloud scales seamlessly based on analysis demand to achieve fast and efficient performance. Application of the pipeline to the analysis of large-scale LC-MS/MS data sets demonstrated the effectiveness and high performance of MS-PyCloud. The software can be downloaded at https://github.com/huizhanglab-jhu/ms-pycloud.
Assuntos
Proteômica , Proteômica/métodos , Software , Espectrometria de Massas em Tandem/métodos , Computação em Nuvem , Glicoproteínas/análise , HumanosRESUMO
BACKGROUND: Transdermal delivery of sparingly soluble drugs is challenging due to their low solubility and poor permeability. Deep eutectic solvent (DES)/or ionic liquid (IL)-mediated nanocarriers are attracting increasing attention. However, most of them require the addition of auxiliary materials (such as surfactants or organic solvents) to maintain the stability of formulations, which may cause skin irritation and potential toxicity. RESULTS: We fabricated an amphiphilic DES using natural oxymatrine and lauric acid and constructed a novel self-assembled reverse nanomicelle system (DES-RM) based on the features of this DES. Synthesized DESs showed the broad liquid window and significantly solubilized a series of sparingly soluble drugs, and quantitative structure-activity relationship (QSAR) models with good prediction ability were further built. The experimental and molecular dynamics simulation elucidated that the self-assembly of DES-RM was adjusted by noncovalent intermolecular forces. Choosing triamcinolone acetonide (TA) as a model drug, the skin penetration studies revealed that DES-RM significantly enhanced TA penetration and retention in comparison with their corresponding DES and oil. Furthermore, in vivo animal experiments demonstrated that TA@DES-RM exhibited good anti-psoriasis therapeutic efficacy as well as biocompatibility. CONCLUSIONS: The present study offers innovative insights into the optimal design of micellar nanodelivery system based on DES combining experiments and computational simulations and provides a promising strategy for developing efficient transdermal delivery systems for sparingly soluble drugs.
Assuntos
Administração Cutânea , Micelas , Absorção Cutânea , Solubilidade , Solventes , Animais , Solventes/química , Pele/metabolismo , Pele/efeitos dos fármacos , Camundongos , Sistemas de Liberação de Medicamentos/métodos , Nanopartículas/química , Relação Quantitativa Estrutura-Atividade , Masculino , Simulação de Dinâmica Molecular , Portadores de Fármacos/químicaRESUMO
Background: There was little evidence of autologous stem cell transplantation (ASCT) as consolidation therapy after remission of induction for patients with Peripheral T-cell lymphoma (PTCL). In this study, we conducted a comparative analysis of real-world survival outcomes between consolidation therapy and observation in patients with PTCL. Methods: A total of 92 patients with peripheral T-cell lymphoma (PTCL) who were admitted to the Department of Hematology, Huadong Hospital Affiliated with Fudan University from January 2013 to April 2019 were divided into two groups based on whether they were treated with high-dose therapy (HDT) followed by autologous hematopoietic stem cell transplantation (ASCT): ASCT as consolidation therapy (n=30) and observation (n=62). Clinical characteristics, treatment patterns, and survival outcomes were analyzed between the two groups. Univariate and Cox multivariate regression analyses were also performed to detect prognostic factors of survival. Results: With a median follow-up time of 41 months, the median overall survival (OS) of peripheral T-cell lymphoma patients treated with ASCT was not reached; the median progression-free survival (PFS) was 77.0 months, which was much higher than that of patients without ASCT (p<0.003 for OS, p=0.015 for PFS). Subgroup analysis found that patients with high risks benefited more from ASCT. Combination with hemophagocytic lymphohistiocytosis (HLH) (p<0.001), clinical stage more than III (p=0.014), IPI score above 3 (p=0.049), and bone marrow involvement (p=0.010) were the independent prognostic factors significantly associated with worse OS and PFS. Additionally, pegylated liposomal doxorubicin (PLD)-containing chemotherapy regimen could bring a higher overall response rate (ORR) and prolong the survival of patients with PTCL who underwent ASCT. Conclusion: ASCT may improve the long-term survival of patients with PTCL as consolidation therapy after achieving complete or partial remission of induction treatment, particularly for those with high risks. The chemotherapy regimen containing pegylated liposomal doxorubicin may induce deeper remission than traditional doxorubicin in PTCL. It is crucial to identify the specific groups most likely to benefit from upfront ASCT.