Article
Biochemical Research Methods
Huu-Quang Nguyen, Dabin Lee, Yeoseon Kim, Geul Bang, Kun Cho, Young-Sun Lee, Jong Eun Yeon, David M. Lubman, Jeongkwon Kim
Summary: This study utilized LC-MS/MS to analyze the protein expression profiles of extracellular vesicles from serum samples of patients with various fatty liver diseases, revealing significant differences in protein expression levels of apolipoproteins, immunoglobulins, and other markers. Through principal component analysis, a clear differentiation between ALD and NAFLD was achieved. The up-regulation of alpha-2-macroglobulin in alcoholic hepatitis and apolipoprotein C3 in NAFLD were identified as significant findings.
JOURNAL OF PROTEOMICS
(2021)
Article
Oncology
Eduardo Sommella, Valeria Capaci, Michelangelo Aloisio, Emanuela Salviati, Pietro Campiglia, Giuseppe Molinario, Danilo Licastro, Giovanni Di Lorenzo, Federico Romano, Giuseppe Ricci, Lorenzo Monasta, Blendi Ura
Summary: Endometrial cancers are mainly adenocarcinomas originating from the inner part of the uterus. Serum biomarkers, identified through exosome serum proteins, can aid in early diagnosis. A statistical model based on specific proteins shows promise in detecting and diagnosing EC, particularly at an early stage.
Article
Chemistry, Applied
Rocio Galindo-Lujan, Laura Pont, Zoran Minic, Maxim V. Berezovski, Victoria Sanz-Nebot, Fernando Benavente
Summary: This study analyzed the proteins from different varieties of quinoa seeds from Peru and Bolivia using advanced LC-MS/MS technology, identifying protein similarities and differences in the proteome. The comprehensive experimental quinoa seed proteome map presented in this study serves as a valuable starting point for further characterization and nutritional studies of quinoa and quinoa-containing food products.
Article
Biochemical Research Methods
Xiaoe You, Baochun Guo, Zhen Wang, Hualin Ma, Xinzhou Zhang
Summary: This study investigates the proteomic alterations in serum exosome of renal anemia patients before and after roxadustat therapy. The results show that roxadustat significantly changes the expression levels of 30 proteins. TFRC and HSPA8 are identified as potential important targets of roxadustat, and roxadustat may increase cardiovascular risk through its influence on platelet activation.
CLINICAL PROTEOMICS
(2022)
Article
Biochemical Research Methods
Xiaoli Wang, Huan Yang, Zhao Wang, Guowei Wang, Liping Yang, Yanping Yuan, Xiaocong Li, Denger Zhang, Kaichun Shen, Zhenhai Wang
Summary: This study compared the protein expression levels of mice sciatic nerve between JEV infection group and the sham group using liquid chromatography-tandem mass spectrometry (LC-MS/MS) technique. Differential expression of proteins was found, with up-regulated proteins mainly related to immune regulatory response and down-regulated proteins related to ribosomal structural components and translation.
JOURNAL OF PROTEOMICS
(2022)
Article
Food Science & Technology
Qicheng Huang, Ruoyu Xie, Xiaoli Wu, Ke Zhao, Huanhuan Li, Honggang Tang, Hongying Du, Xinyan Peng, Lihong Chen, Jin Zhang
Summary: A label-free proteomics strategy was used to explore the protein differential profile between Jinhua fatty ham (FH) and lean ham (LH). The results showed that fat removal significantly promoted protein degradation, amino acid metabolism, and the oxidative phosphorylation process in Jinhua lean ham. These findings provide theoretical supports for developing healthier low-fat meat products.
Article
Chemistry, Multidisciplinary
Ugur Parlatan, Mehmet Ozgun Ozen, Ibrahim Kecoglu, Batuhan Koyuncu, Hulya Torun, Davod Khalafkhany, Irem Loc, Mehmet Giray Ogut, Fatih Inci, Demir Akin, Ihsan Solaroglu, Nesrin Ozoren, Mehmet Burcin Unlu, Utkan Demirci
Summary: Researchers have developed a method that combines surface-enhanced Raman spectroscopy (SERS) with machine learning algorithms to classify extracellular vesicles (EVs) derived from different cell lines and determine their cellular origins. This machine learning-assisted SERS method allows for label-free investigation of EV preparations and differentiation between cancer cell-derived exosomes and healthy cell-derived exosomes, offering new avenues for early detection and monitoring of diseases.
Article
Chemistry, Analytical
Yingzhi Zhang, Qiwen Su, Dan Song, Jiayuan Fan, Zhangrun Xu
Summary: A label-free exosome detection method based on the oxidase-like activity of CuCo2O4 nanorods was proposed, which showed sensitivity in distinguishing exosomes and was applied in differentiating healthy individuals and breast cancer patients by testing serum samples.
ANALYTICA CHIMICA ACTA
(2021)
Article
Engineering, Environmental
Wenyue Xie, Yanying Yin, Ruoheng Gu, Jingyue Xu, Xing Su, Yang Wang, Ruina Liu, Xiaozhi Liu, Jianyong Huang
Summary: A high-selectivity and high-sensitivity label-free lanthanide metal organic frameworks (MOFs) was developed for monitoring dopamine in urine samples from Parkinson's patients. The fluorescent MOF exhibited concentration-dependent fluorescence intensity and was used to prepare visual test strips. This study provides an efficient strategy for early diagnosis of Parkinson's disease in the clinic.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Plant Sciences
Muhammad Afzal, Malte Sielaff, Valentina Curella, Manjusha Neerukonda, Khaoula El Hassouni, Detlef Schuppan, Stefan Tenzer, C. Friedrich H. Longin
Summary: The study analyzed the expression of 756 proteins across 150 wheat cultivars using proteomics and found that environmental conditions have a significant impact on protein expression. Wheat cultivars varied greatly in their protein profiles, with 114 proteins being crucial for bread quality and human health.
Article
Biochemical Research Methods
Joanna Bons, Gauthier Husson, Marie Chion, Muriel Bonnet, Myriam Maumy-Bertrand, Francois Delalande, Sarah Cianferani, Frederic Bertrand, Brigitte Picard, Christine Carapito
Summary: Mass spectrometry is a valuable tool for protein quantification, with SWATH-MS outperforming SRM in sensitivity and dynamic range, while PRM remains the best performer. An original label-free quantification method on SWATH-MS provided a comprehensive analysis of muscle proteomes and further insights into the effects of muscle type on candidate biomarkers of beef qualities and muscle metabolism.
Article
Biochemical Research Methods
Jianbo Fu, Qingxia Yang, Yongchao Luo, Song Zhang, Jing Tang, Ying Zhang, Hongning Zhang, Hanxiang Xu, Feng Zhu
Summary: Label-free quantification (LFQ) is an important technique in proteomics due to its broad proteome coverage and enhanced reproducibility. In this study, an R package EVALFQ was developed to evaluate and discover well-performing LFQ chains from over 3000 options.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Biochemical Research Methods
Jianbo Fu, Qingxia Yang, Yongchao Luo, Song Zhang, Jing Tang, Ying Zhang, Hongning Zhang, Hanxiang Xu, Feng Zhu
Summary: The label-free quantification (LFQ) is a powerful technique in proteomics due to its broad proteome coverage, great dynamic ranges, and enhanced analytical reproducibility. However, determining the well-performing LFQ chain is challenging due to the dependence on data and the diverse possibilities. In this study, a unique R package EVALFQ was developed for performance evaluation of >3000 LFQ chains, utilizing multiple criteria, spiking proteins, and comprehensive assessment. This package is expected to attract broad interests in the field of proteomic quantification.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Agriculture, Dairy & Animal Science
Alessio Di Luca, Francesca Bennato, Andrea Ianni, Lisa Grotta, Michael Henry, Paula Meleady, Giuseppe Martino
Summary: In this study, proteomic technologies were used to compare the milk proteome of two goat breeds, Teramana and Saanen. The analysis identified 29 proteins that could discriminate between the two breeds. This research contributes to our understanding of the goat milk proteome and provides important information for future studies on goat milk proteins.
Article
Clinical Neurology
Xia Wang, Cong Han, Yangjie Jia, Jiayu Wang, Wei Ge, Lian Duan
Summary: This study identified dysregulated cell growth and maintenance, immune dysfunction in hemorrhagic MMD, and promoted proliferation in neuroblastoma cells through proteomic analysis of SDEs in MMD patients. Treatment with MMD SDEs increased proliferation in mouse brain vascular EC cells and induced dysfunction of mitochondria in cerebrovascular ECs from hemorrhagic MMD patients, providing potential therapeutic strategies for MMD.
Article
Pediatrics
Jiaxi He, Shaochang Wu, Na Zhu, Chunjiao Rong, Tielun Yan, Xiumei Yan
IRANIAN JOURNAL OF PEDIATRICS
(2019)
Review
Food Science & Technology
Zongxin Ling, Xia Liu, Yiwen Cheng, Xiumei Yan, Shaochang Wu
Summary: The altered assembly, structure and dynamics of the gut microbiota actively participate in the aging process, affecting healthy aging and age-associated diseases.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2022)
Article
Immunology
Zongxin Ling, Yiwen Cheng, Xiumei Yan, Li Shao, Xia Liu, Dajin Zhou, Lijuan Zhang, Kunqiang Yu, Longyou Zhao
FRONTIERS IN IMMUNOLOGY
(2020)
Article
Cell Biology
Zongxin Ling, Manlian Zhu, Xiumei Yan, Yiwen Cheng, Li Shao, Xia Liu, Ruilai Jiang, Shaochang Wu
Summary: The study found that gut dysbiosis in Chinese Alzheimer's disease (AD) patients results in a decrease in bacterial diversity, a reduction in butyrate-producing genera positively correlated with cognitive scores, and an increase in lactate-producing genera inversely correlated with these indicators. This shift in gut dysbiosis contributes to immune disturbances in the host, serving as potential non-invasive biomarkers for distinguishing AD patients from controls. Additionally, altered functional modules in the gut microbiota of AD patients may produce immunomodulatory metabolites.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Cell Biology
Zongxin Ling, Manlian Zhu, Xia Liu, Li Shao, Yiwen Cheng, Xiumei Yan, Ruilai Jiang, Shaochang Wu
Summary: This study found altered taxonomic composition of the fecal fungal microbiota in AD patients, with specific fungi enriched or decreased. Key differential fungi such as Candida tropicalis and Schizophyllum commune were positively correlated with certain immune response markers, while Rhodotorula mucilaginosa showed negative correlation with TNF-alpha level. The analysis revealed potential implications for the etiopathogenesis of AD and improved diagnosis and treatment.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Review
Geriatrics & Gerontology
Shaochang Wu, Xia Liu, Ruilai Jiang, Xiumei Yan, Zongxin Ling
Summary: Alzheimer's disease is a common age-related progressive neurodegenerative disease linked to dysbiosis of gut microbiota. Alterations in gut microbiota can impact brain function and behavior, influencing the pathogenesis and progression of AD.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
