脂联素在早产儿血清中的表达及其与体格指标、载脂蛋白和骨密度的关系

目的:探讨脂联素在早产儿血清中的表达水平及其与体格指标、载脂蛋白和骨密度的相关性。方法:选择2017年1月至2018年5月期间我院新生儿科住院的早产儿72例作为研究组,另外选择同期我院出生的足月新生儿58例作为对照组。对比两组新生儿的一般资料、脂联素、载脂蛋白和骨密度水平,分析早产儿血清脂联素水平与体格指标、载脂蛋白和骨密度的相关性,同时分析影响血清脂联素水平的危险因素。结果:两组受试新生儿的性别、胸围、低密度脂蛋白(LDL-C)及高密度脂蛋白(HDL-C)之间的差异无统计学意义(P0.05);研究组新生儿的胎龄、体质量指数(BMⅠ)、身长、头围、总胆固醇(TC)及三酰甘油(TG)明显低于对照组(P0.05);与对照组相比,研究组新生儿血清脂联素、载脂蛋白A-Ⅰ(Apo A-Ⅰ)及左胫骨中段超声波在骨骼中的传播速度(SOS)水平明显下降,而载脂蛋白B(Apo B)和Apo B/Apo A-Ⅰ水平均显著升高,且差异均具有统计学意义(P0.05);早产儿血清脂联素水平与胎龄、BMⅠ、头围、TC、TG、Apo A-Ⅰ及SOS呈正相关(P0.05),与Apo B和Apo B/Apo A-Ⅰ水平呈负相关(P0.05);Logistic回归结果显示,胎龄、BMⅠ、Apo B/Apo A-Ⅰ及SOS是早产儿血清脂联素水平的影响因素(P0.05)。结论:早产儿血清脂联素水平低于足月儿,血清脂联素水平与体格指标、载脂蛋白及骨密度密切相关,可能对新生儿的生长发育具有重要的调节作用。     

绿洲农田三叶草夜蛾的种群动态及交配特征

三叶草夜蛾Scotogramma trifolii Rottemberg是一种多食性的害虫,其在农田生态系统中的种群动态及交配情况尚不清楚。本试验在库尔勒地区连续3年(2013-2015年4-9月)利用智能虫情测报灯监测了三叶草夜蛾的种群动态,并在实验室解剖雌蛾体内精包,评估野外雌蛾的交配情况。研究表明不同年际间相同月份其种群数量变化趋势相同,即每年的4月中下旬、6月中下旬和7月下旬均会出现三叶草夜蛾的种群高峰期;而相同年际内不同月份三叶草夜蛾的种群数量存在变异。解剖数据表明了三叶草夜蛾交配频率平均达到2.7次/头以上,同一年份内和不同年际间均存在一定比例的未成功交配雌蛾,其成功交配比例在55.56%~97.37%,2013年和2015年的成功交配比率较低,低于60%,而2014年的成功交配率却高于80%。通过本研究初步明确了野外三叶草夜蛾交配特征和种群动态,为绿洲农田三叶草夜蛾的综合防治提供了科学依据。     

Proteomic analysis of synovial fluid: current and potential uses to improve clinical outcomes

Introduction: Synovial fluid (SF) is in close proximity to tissues which are primarily altered during articular disease and has significant potential to better understand the underlying disease pathogeneses of articular pathologies and biomarker discovery. Although development of mass spectrometry-based methods has allowed faster and higher sensitivity techniques, interrogation of the SF proteome has been hindered by its large protein concentration dynamic range, impeding quantification of lower abundant proteins.

Areas covered: Recent advances have developed methodologies to reduce the large protein concentration dynamic range of SF and subsequently allow deeper exploration of the SF proteome. This review concentrates on methods to overcome biofluid complexity, mass spectrometry proteomics methodologies, extracellular vesicles proteomics and the application of advances within the field in clinical disease, including osteoarthritis, rheumatoid arthritis, spondyloarthritis and juvenile arthritis. A narrative review was conducted with articles searched using PubMed, 1991–2018.

Expert opinion: The SF proteomics field faces various challenges, including the requirement for rigorous and standardised methods of sample collection/storage, the sensitivity and specificity of proteomic assays, techniques to combat the large protein concentration dynamic range and comprehensive data analysis to reduce falsely identified markers. Additionally, there are challenges in developing multi ‘omic’ integration techniques, with computational integration enhancing analysis.     

Driving Precision Medicine through Proteomics and Metabolomics - 12th Central and Eastern European Proteomic Conference (CEEPC), Bucharest,Romania

As Romanians prepared to celebrate 100 years of the '‘Great Unification of 1918?' which united all provinces into one Romania, the 12^th Central and Eastern European Proteomic Conference (CEEPC) jointly with the 39^th Anniversary of the Institute of Cellular Biology and Pathology '‘N. Simionescu’' (ICBP-NS), held their inaugural meeting at the Romanian Academy in Bucharest – a national forum of highest scientific recognition. With an exciting theme entitled, ‘Advances in Proteomics and Progress in Precision Medicine’, delegates gathered to debate Precision medicine’s revolution in diagnosis and treatment, which now accounts for predictive, preventative, and targeted treatment strategies with informed decisions according to individual’s unique clinical, molecular and genetic profile. Proteomics has a pivotal role to play in furthering precision health and medicine for the benefit of mankind. To this end, CEEPC continues to drive advances in proteomics, metabolomics, and diseases as well as raising awareness of pressing global humanitarian and health-care issues including mental health diseases, aging, chronic diseases, global epidemics and environmental issues. Today, CEEPC is a well-recognized major annual conference with a focused vision and a highly valued ideology as it continues to propagate scientific, medical and proteomic collaborations whilst expanding as more Eastern European countries prepare to join.     

Domain-specific Quantification of Prion Protein in Cerebrospinal Fluid by Targeted Mass Spectrometry

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Highlights

• •Targeted mass spectrometry assay to quantify prion protein (PrP) in spinal fluid.
• •Precise measurement of PrP peptide concentration across protein domains.
• •Peptides are uniformly decreased in symptomatic prion disease patients.
• •Assay applicable to humans and preclinical species for drug development.

     

Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning*

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Highlights

• •Fast and culture-free method for the identification of the 15 bacterial species causing UTIs.
• •Combination of DIA analysis and machine learning algorithms to define a peptide signature.
• •High accuracy, good linearity and reproducibility, sensitivity below standard threshold.
• •Transferability to other laboratories and other mass spectrometers.

     

Nonparametric Analysis of Thermal Proteome Profiles Reveals Novel Drug-binding Proteins*

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Highlights

• •Method for the analysis of response curves from thermal proteome profiling (TPP).
• •NPARC uses nonparametric statistics and provides false discovery-rate (FDR) control.
• •Increased proteome coverage and sensitivity to identify drug-binding proteins.

     

Intact Transition Epitope Mapping – Targeted High-Energy Rupture of Extracted Epitopes (ITEM-THREE),

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Highlights

• •Multiplex epitope mapping/antigenic determinant identification in the gas phase.
• •Intact transition and controlled dissociation of immune complexes by MS.
• •Simultaneous identification and amino acid sequence determination of epitopes.
• •Simplified in-solution sample handling because of ion manipulation and filtering by MS.

     

DIAlignR Provides Precise Retention Time Alignment Across Distant Runs in DIA and Targeted Proteomics

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Highlights

• •Retention time shift can lead to inversion of elution order of peptides.
• •Global alignment methods are suboptimal for alignment of distant runs.
• •DIAlignR employs hybrid (global + local) RT alignment approach.
• •DIAlignR can align swapped peaks accurately across distant runs.