Shu-Ju Wang, Yang Liu, Zhi-Qing Zhang, Qian Li, Gang Xiong, Li-Xin You, Yaguang Sun
A novel series of lanthanide coordination polymers (Ln-CPs) have been obtained based on mixed ligands, 2-[(4-carboxyphenyl)methoxy]benzoic acid (H2cob) and 1,10-phenanthroline (phen), namely {Ln[(Hcob)(cob)(phen)]n, Ln = La (1), Pr (2), Sm (3), Eu (4)}. Complexes 1–4 were characterized by single crystal X-ray diffraction, elemental analysis, powder X-ray diffraction, infrared spectroscopy and thermogravimetric analysis. Single crystal X-ray diffraction revealed that complexes 1–4 show two-dimensional layer structures. The luminescence properties of complexes 3 and 4 were thoroughly investigated.
基于混合配体 2-[(4-羧基苯基)甲氧基]苯甲酸(H2cob)和 1,10-菲罗啉(phen),获得了一系列新型镧系配位聚合物(Ln-CPs),即 {Ln[(Hcob)(cob)(phen)]n, Ln = La (1), Pr (2), Sm (3), Eu (4)} 。通过单晶 X 射线衍射、元素分析、粉末 X 射线衍射、红外光谱和热重分析对 1-4 号络合物进行了表征。单晶 X 射线衍射显示,络合物 1-4 显示出二维层状结构。对络合物 3 和 4 的发光特性进行了深入研究。
{"title":"Lanthanide coordination polymers based on an aromatic dicarboxylic acid and 1,10-phenanthroline ligands: synthesis, structure and luminescence properties","authors":"Shu-Ju Wang, Yang Liu, Zhi-Qing Zhang, Qian Li, Gang Xiong, Li-Xin You, Yaguang Sun","doi":"10.1071/ch23149","DOIUrl":"https://doi.org/10.1071/ch23149","url":null,"abstract":"<p>A novel series of lanthanide coordination polymers (Ln-CPs) have been obtained based on mixed ligands, 2-[(4-carboxyphenyl)methoxy]benzoic acid (H<sub>2</sub>cob) and 1,10-phenanthroline (phen), namely {Ln[(Hcob)(cob)(phen)]<sub><i>n</i></sub>, Ln = La (<b>1</b>), Pr (<b>2</b>), Sm (<b>3</b>), Eu (<b>4</b>)}. Complexes <b>1</b>–<b>4</b> were characterized by single crystal X-ray diffraction, elemental analysis, powder X-ray diffraction, infrared spectroscopy and thermogravimetric analysis. Single crystal X-ray diffraction revealed that complexes <b>1</b>–<b>4</b> show two-dimensional layer structures. The luminescence properties of complexes <b>3</b> and <b>4</b> were thoroughly investigated.</p>","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"20 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138689400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Terpyridine and its derivatives have good binding affinity for most transition metal ions due to the arrangement of their three pyridine nitrogen atoms. In this work, a new ratiometric fluorescent probe G, which is based on a styrylpyridinium attached to a terpyridine fluorophore, was synthesized and characterized. The fluorescence spectrum of probe G shows a good response to Zn2+ by an intramolecular charge transfer effect. On increasing the concentration of Zn2+, the fluorescence color of probe G changes from blue to yellow. Importantly, probe G has a high selectivity for Zn2+and is not affected by other metal ions, including Cd2+. In addition, the limit of detection (LOD) of probe G for Zn2+ was found to be up to 0.17 µM. The results show that probe G has the ability to selectively recognize Zn2+ in aqueous solution.
{"title":"A novel ratiometric fluorescent sensor based on terpyridine derivatives for Zn 2+ in aqueous solution","authors":"Qinghong Bai, Yangming Jiang, Enming Hu, Libin Lv, Chenghui Wang, Xin Xiao","doi":"10.1071/ch23153","DOIUrl":"https://doi.org/10.1071/ch23153","url":null,"abstract":"<p>Terpyridine and its derivatives have good binding affinity for most transition metal ions due to the arrangement of their three pyridine nitrogen atoms. In this work, a new ratiometric fluorescent probe <b>G</b>, which is based on a styrylpyridinium attached to a terpyridine fluorophore, was synthesized and characterized. The fluorescence spectrum of probe <b>G</b> shows a good response to Zn<sup>2+</sup> by an intramolecular charge transfer effect. On increasing the concentration of Zn<sup>2+</sup>, the fluorescence color of probe <b>G</b> changes from blue to yellow. Importantly, probe <b>G</b> has a high selectivity for Zn<sup>2+</sup>and is not affected by other metal ions, including Cd<sup>2+</sup>. In addition, the limit of detection (LOD) of probe <b>G</b> for Zn<sup>2+</sup> was found to be up to 0.17 µM. The results show that probe <b>G</b> has the ability to selectively recognize Zn<sup>2+</sup> in aqueous solution.</p>","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"6 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dylan C. Farr, Lendl Tan, Juanelle Furness, I. Darren Grice, Nicholas P. West, Todd A. Houston
Aminoglycoside antibiotics represent the first class of successful drugs in the treatment of tuberculosis; however, mycobacteria and other bacterial species possess several drug resistance mechanisms to inactivate these natural products. In the past 15 years, a variety of amphiphilic aminoglycosides have been shown to have improved activity against infectious microorganisms and to subvert resistance mechanisms. Here, we report on four novel synthetic compounds derived from two existing potent antitubercular compounds and describe their activity against both Mycobacterium tuberculosis and Staphylococcus aureus. It was found that a decanesulfonylacetamide-based conjugate of amikacin displayed promising preliminary antitubercular activities, warranting further investigation to assess the therapeutic potential of these unique antimicrobials.
{"title":"Synthesis and antibacterial activity of 6″-decanesulfonylacetamide-functionalised amphiphilic derivatives of amikacin and kanamycin","authors":"Dylan C. Farr, Lendl Tan, Juanelle Furness, I. Darren Grice, Nicholas P. West, Todd A. Houston","doi":"10.1071/ch23154","DOIUrl":"https://doi.org/10.1071/ch23154","url":null,"abstract":"Aminoglycoside antibiotics represent the first class of successful drugs in the treatment of tuberculosis; however, mycobacteria and other bacterial species possess several drug resistance mechanisms to inactivate these natural products. In the past 15 years, a variety of amphiphilic aminoglycosides have been shown to have improved activity against infectious microorganisms and to subvert resistance mechanisms. Here, we report on four novel synthetic compounds derived from two existing potent antitubercular compounds and describe their activity against both Mycobacterium tuberculosis and Staphylococcus aureus. It was found that a decanesulfonylacetamide-based conjugate of amikacin displayed promising preliminary antitubercular activities, warranting further investigation to assess the therapeutic potential of these unique antimicrobials.","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"30 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136348636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A significant range of intriguing nanomaterials includes photocatalytic and antibacterial nanocomposites, which exhibit great efficacy in water treatment. In this work, Euphorbia hebecarpa extract was used as a novel natural reducing agent to investigate the environmentally friendly production of ZnO@β-cyclodextrin (CD) nanoparticles (NPs). In the following, polyacrylonitrile, ZnO@β-CD and chitosan nanofibers were electrospun concurrently using a dual-electrospinning process to create a unique nano-biosorbent made of polyacrylonitrile (PAN)–ZnO@β-CD–chitosan (CS) nanofibrous nanocomposite. Additionally, this nanocomposite’s effectiveness as a novel photocatalyst and antibacterial agent for eliminating organic dyes like methylene blue was evaluated. Field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD) analysis, Fourier-transform infrared (FTIR) spectroscopy and Raman spectroscopy (RS) were used to analyze the structure of the nanocomposite. The outcomes verified the production of ZnO@β-CD, which had evenly shaped particles with an average size of 45 nm on the nanofibrous matrix. This nanocomposite exhibited removal efficiency of methylene blue of ~90% after 105 min at pH 7 and 2.5 g L−1 nanocomposite concentration. Furthermore, an antibacterial test revealed that PAN–ZnO@β-CD–CS nanofibrous nanocomposite with 6% ZnO showed over 80% reduction in colony-forming units per millilitre against Bacillus cereus, Staphylococcus epidermidis and Streptococcus iniae.
一系列有趣的纳米材料包括光催化和抗菌纳米复合材料,它们在水处理中表现出巨大的功效。本研究以大戟叶提取物为新型天然还原剂,研究了zno @β-环糊精纳米颗粒(NPs)的环保性制备。本文采用双静电纺丝工艺,将聚丙烯腈、ZnO@β-CD和壳聚糖纳米纤维同时进行静电纺丝,制备了一种独特的聚丙烯腈(PAN) - ZnO@β-CD -壳聚糖(CS)纳米纤维纳米复合材料。此外,该纳米复合材料作为一种新型光催化剂和抗菌剂对去除亚甲基蓝等有机染料的有效性进行了评估。采用场发射扫描电镜(FESEM)、能量色散x射线能谱(EDS)、x射线衍射(XRD)、傅里叶变换红外光谱(FTIR)和拉曼光谱(RS)分析了纳米复合材料的结构。结果证实了ZnO@β-CD在纳米纤维基体上的生成,其颗粒形状均匀,平均尺寸为45 nm。该纳米复合材料在pH为7、浓度为2.5 g L−1的条件下,对亚甲基蓝的去除率为~90%。此外,一项抗菌试验表明,含有6% ZnO的PAN-ZnO@β-CD-CS纳米纤维纳米复合材料对蜡样芽孢杆菌、表皮葡萄球菌和牛链球菌的集落形成单位每毫升减少80%以上。
{"title":"Green synthesis of dual-spinneret electrospun polyacrylonitrile–ZnO@β-cyclodextrin–chitosan nanofibrous nanocomposite as a novel nano-biosorbent","authors":"Sohrab Hajmohammadi, Dadkhoda Ghazanfari, Enayatollah Sheikhhosseini, Nahid Rastakhiz, Hamideh Asadollahzadeh","doi":"10.1071/ch23098","DOIUrl":"https://doi.org/10.1071/ch23098","url":null,"abstract":"A significant range of intriguing nanomaterials includes photocatalytic and antibacterial nanocomposites, which exhibit great efficacy in water treatment. In this work, Euphorbia hebecarpa extract was used as a novel natural reducing agent to investigate the environmentally friendly production of ZnO@β-cyclodextrin (CD) nanoparticles (NPs). In the following, polyacrylonitrile, ZnO@β-CD and chitosan nanofibers were electrospun concurrently using a dual-electrospinning process to create a unique nano-biosorbent made of polyacrylonitrile (PAN)–ZnO@β-CD–chitosan (CS) nanofibrous nanocomposite. Additionally, this nanocomposite’s effectiveness as a novel photocatalyst and antibacterial agent for eliminating organic dyes like methylene blue was evaluated. Field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD) analysis, Fourier-transform infrared (FTIR) spectroscopy and Raman spectroscopy (RS) were used to analyze the structure of the nanocomposite. The outcomes verified the production of ZnO@β-CD, which had evenly shaped particles with an average size of 45 nm on the nanofibrous matrix. This nanocomposite exhibited removal efficiency of methylene blue of ~90% after 105 min at pH 7 and 2.5 g L−1 nanocomposite concentration. Furthermore, an antibacterial test revealed that PAN–ZnO@β-CD–CS nanofibrous nanocomposite with 6% ZnO showed over 80% reduction in colony-forming units per millilitre against Bacillus cereus, Staphylococcus epidermidis and Streptococcus iniae.","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135477805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retraction notice to &#x2018;Three Cu<sup>II</sup> and Co<sup>II</sup> coordination complexes containing tridentate schiff base moieties induce ROS generation and lead to caspase-dependent apoptotic cell death in intracranial aneurysm&#x2019; [<i>Australian Journal of Chemistry</i> (2019) doi:10.1071/CH18641]","authors":"","doi":"10.1071/ch18641_re","DOIUrl":"https://doi.org/10.1071/ch18641_re","url":null,"abstract":"","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135436742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The development of machine learning (ML) predictors does not necessarily require the employment of expansive classifiers and complex feature encoding schemes to achieve the highest accuracy scores. It rather requires data pre-processing, feature optimization, and robust evaluation to ensure consistent results and generalizability. Herein, we describe a multi-stage process to develop a reliable ML predictor of cell penetrating peptides (CPPs). We emphasize the challenges of: (i) the generation of representative datasets with all required pre-processing procedures; (ii) comprehensive and exclusive encoding of peptides using their amino acid composition; (iii) obtaining an optimized feature set using a simple classifier (support vector machine, SVM); (iv) ensuring consistent results; and (v) verifying generalizability at the highest achievable accuracy scores. Two peptide sub-spaces were used to generate the negative examples, which are required, along with the known CPPs, to train the classifier. These included: (i) randomly generated peptides with all amino acid types being equally represented and (ii) extracted peptides from receptor proteins. Results indicated that the randomly generated dataset performed perfectly well within its own peptide sub-space, while it poorly generalized to the other sub-space. Conversely, the dataset extracted from receptor proteins, while achieving lower accuracies, showed a perfect generalizability to the other peptide sub-space. We combined the qualities of these two datasets by utilizing the average of their predictions within our ultimate framework. This functional ML predictor, WLVCPP, and associated software and datasets can be downloaded from https://github.com/BahaaIsmail/WLVCPP.
{"title":"<i>Corrigendum to</i>: A holistic approach towards a generalizable machine learning predictor of cell penetrating peptides","authors":"Bahaa Ismail, Sarah Jones, John Howl","doi":"10.1071/ch22247_co","DOIUrl":"https://doi.org/10.1071/ch22247_co","url":null,"abstract":"The development of machine learning (ML) predictors does not necessarily require the employment of expansive classifiers and complex feature encoding schemes to achieve the highest accuracy scores. It rather requires data pre-processing, feature optimization, and robust evaluation to ensure consistent results and generalizability. Herein, we describe a multi-stage process to develop a reliable ML predictor of cell penetrating peptides (CPPs). We emphasize the challenges of: (i) the generation of representative datasets with all required pre-processing procedures; (ii) comprehensive and exclusive encoding of peptides using their amino acid composition; (iii) obtaining an optimized feature set using a simple classifier (support vector machine, SVM); (iv) ensuring consistent results; and (v) verifying generalizability at the highest achievable accuracy scores. Two peptide sub-spaces were used to generate the negative examples, which are required, along with the known CPPs, to train the classifier. These included: (i) randomly generated peptides with all amino acid types being equally represented and (ii) extracted peptides from receptor proteins. Results indicated that the randomly generated dataset performed perfectly well within its own peptide sub-space, while it poorly generalized to the other sub-space. Conversely, the dataset extracted from receptor proteins, while achieving lower accuracies, showed a perfect generalizability to the other peptide sub-space. We combined the qualities of these two datasets by utilizing the average of their predictions within our ultimate framework. This functional ML predictor, WLVCPP, and associated software and datasets can be downloaded from <a ext-link-type=\"uri\" href=\"https://github.com/BahaaIsmail/WLVCPP\">https://github.com/BahaaIsmail/WLVCPP</a>.","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135396603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01Epub Date: 2023-06-14DOI: 10.1071/ch23063
Tzong-Hsien Lee, James W Checco, Tess Malcolm, Chelcie H Eller, Ronald T Raines, Samuel H Gellman, Erinna F Lee, W Douglas Fairlie, Marie-Isabel Aguilar
The intrinsic pathway of apoptosis is regulated by the Bcl-2 family of proteins. Inhibition of the anti-apoptotic members represents a strategy to induce apoptotic cell death in cancer cells. We have measured the membrane binding properties of a series of peptides, including modified α/β-peptides, designed to exhibit enhanced membrane permeability to allow cell entry and improved access for engagement of Bcl-2 family members. The peptide cargo is based on the pro-apoptotic protein Bim, which interacts with all anti-apoptotic proteins to initiate apoptosis. The α/β-peptides contained cyclic β-amino acid residues designed to increase their stability and membrane-permeability. Dual polarisation interferometry was used to study the binding of each peptide to two different model membrane systems designed to mimic either the plasma membrane or the outer mitochondrial membrane. The impact of each peptide on the model membrane structure was also investigated, and the results demonstrated that the modified peptides had increased affinity for the mitochondrial membrane and significantly altered the structure of the bilayer. The results also showed that the presence of an RRR motif significantly enhanced the ability of the peptides to bind to and insert into the mitochondrial membrane mimic, and provide insights into the role of selective membrane targeting of peptides.
{"title":"Differential membrane binding of α/β-peptide foldamers: implications for cellular delivery and mitochondrial targeting.","authors":"Tzong-Hsien Lee, James W Checco, Tess Malcolm, Chelcie H Eller, Ronald T Raines, Samuel H Gellman, Erinna F Lee, W Douglas Fairlie, Marie-Isabel Aguilar","doi":"10.1071/ch23063","DOIUrl":"https://doi.org/10.1071/ch23063","url":null,"abstract":"<p><p>The intrinsic pathway of apoptosis is regulated by the Bcl-2 family of proteins. Inhibition of the anti-apoptotic members represents a strategy to induce apoptotic cell death in cancer cells. We have measured the membrane binding properties of a series of peptides, including modified α/β-peptides, designed to exhibit enhanced membrane permeability to allow cell entry and improved access for engagement of Bcl-2 family members. The peptide cargo is based on the pro-apoptotic protein Bim, which interacts with all anti-apoptotic proteins to initiate apoptosis. The α/β-peptides contained cyclic β-amino acid residues designed to increase their stability and membrane-permeability. Dual polarisation interferometry was used to study the binding of each peptide to two different model membrane systems designed to mimic either the plasma membrane or the outer mitochondrial membrane. The impact of each peptide on the model membrane structure was also investigated, and the results demonstrated that the modified peptides had increased affinity for the mitochondrial membrane and significantly altered the structure of the bilayer. The results also showed that the presence of an RRR motif significantly enhanced the ability of the peptides to bind to and insert into the mitochondrial membrane mimic, and provide insights into the role of selective membrane targeting of peptides.</p>","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"76 8","pages":"482-492"},"PeriodicalIF":1.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540276/pdf/nihms-1928984.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41105277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julia Y. Wang, Wei Zhang, Michael W. Roehrl, Victor B. Roehrl, Michael H. Roehrl
In order to understand autoimmune phenomena contributing to the pathophysiology of COVID-19 and post-COVID syndrome, we have been profiling autoantigens (autoAgs) from various cell types. Although cells share numerous autoAgs, each cell type gives rise to unique COVID-altered autoAg candidates, which may explain the wide range of symptoms experienced by patients with autoimmune sequelae of SARS-CoV-2 infection. Based on the unifying property of affinity between autoAgs and the glycosaminoglycan dermatan sulfate (DS), this paper reports 140 candidate autoAgs identified from proteome extracts of human Jurkat T-cells, of which at least 105 (75%) are known targets of autoantibodies. Comparison with currently available multi-omic COVID-19 data shows that 125 (89%) DS-affinity proteins are altered at protein and/or RNA levels in SARS-CoV-2-infected cells or patients, with at least 94 being known autoAgs in a wide spectrum of autoimmune diseases and cancer. Protein alterations by ubiquitination and phosphorylation during the viral infection are major contributors of autoAgs. The autoAg protein network is significantly associated with cellular response to stress, apoptosis, RNA metabolism, mRNA processing and translation, protein folding and processing, chromosome organization, cell cycle, and muscle contraction. The autoAgs include clusters of histones, CCT/TriC chaperonin, DNA replication licensing factors, proteasome and ribosome proteins, heat shock proteins, serine/arginine-rich splicing factors, 14-3-3 proteins, and cytoskeletal proteins. AutoAgs, such as LCP1 and NACA, that are altered in the T cells of COVID patients may provide insight into T-cell responses to viral infection and merit further study. The autoantigen-ome from this study contributes to a comprehensive molecular map for investigating acute, subacute, and chronic autoimmune disorders caused by SARS-CoV-2.
{"title":"An autoantigen profile from Jurkat T-Lymphoblasts provides a molecular guide for investigating autoimmune sequelae of COVID-19","authors":"Julia Y. Wang, Wei Zhang, Michael W. Roehrl, Victor B. Roehrl, Michael H. Roehrl","doi":"10.1071/ch22268","DOIUrl":"https://doi.org/10.1071/ch22268","url":null,"abstract":"<p>In order to understand autoimmune phenomena contributing to the pathophysiology of COVID-19 and post-COVID syndrome, we have been profiling autoantigens (autoAgs) from various cell types. Although cells share numerous autoAgs, each cell type gives rise to unique COVID-altered autoAg candidates, which may explain the wide range of symptoms experienced by patients with autoimmune sequelae of SARS-CoV-2 infection. Based on the unifying property of affinity between autoAgs and the glycosaminoglycan dermatan sulfate (DS), this paper reports 140 candidate autoAgs identified from proteome extracts of human Jurkat T-cells, of which at least 105 (75%) are known targets of autoantibodies. Comparison with currently available multi-omic COVID-19 data shows that 125 (89%) DS-affinity proteins are altered at protein and/or RNA levels in SARS-CoV-2-infected cells or patients, with at least 94 being known autoAgs in a wide spectrum of autoimmune diseases and cancer. Protein alterations by ubiquitination and phosphorylation during the viral infection are major contributors of autoAgs. The autoAg protein network is significantly associated with cellular response to stress, apoptosis, RNA metabolism, mRNA processing and translation, protein folding and processing, chromosome organization, cell cycle, and muscle contraction. The autoAgs include clusters of histones, CCT/TriC chaperonin, DNA replication licensing factors, proteasome and ribosome proteins, heat shock proteins, serine/arginine-rich splicing factors, 14-3-3 proteins, and cytoskeletal proteins. AutoAgs, such as LCP1 and NACA, that are altered in the T cells of COVID patients may provide insight into T-cell responses to viral infection and merit further study. The autoantigen-ome from this study contributes to a comprehensive molecular map for investigating acute, subacute, and chronic autoimmune disorders caused by SARS-CoV-2.</p>","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"24 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julia Y. Wang, Wei Zhang, Victor B. Roehrl, Michael W. Roehrl, Michael H. Roehrl
To understand how COVID-19 may induce autoimmune diseases, we have been compiling an atlas of COVID autoantigens (autoAgs). Using dermatan sulfate (DS) affinity enrichment of autoantigenic proteins extracted from HS-Sultan lymphoblasts, we identified 362 DS-affinity proteins, of which at least 201 (56%) are confirmed autoAgs. Comparison with available multi-omic COVID data shows that 315 (87%) of the 362 proteins are affected in SARS-CoV-2 infection via altered expression, interaction with viral components, or modification by phosphorylation or ubiquitination, at least 186 (59%) of which are known autoAgs. These proteins are associated with gene expression, mRNA processing, mRNA splicing, translation, protein folding, vesicles, and chromosome organization. Numerous nuclear autoAgs were identified, including both classical antinuclear antibodies (ANAs) and extractable nuclear antigens (ENAs) of systemic autoimmune diseases and unique autoAgs involved in the DNA replication fork, mitotic cell cycle, or telomerase maintenance. We also identified many uncommon autoAgs involved in nucleic acid and peptide biosynthesis and nucleocytoplasmic transport, such as aminoacyl-tRNA synthetases. In addition, this study found autoAgs that potentially interact with multiple SARS-CoV-2 Nsp and Orf components, including CCT/TriC chaperonin, insulin degrading enzyme, platelet-activating factor acetylhydrolase, and the ezrin-moesin-radixin family. Furthermore, B-cell-specific IgM-associated endoplasmic reticulum (ER) complex (including MBZ1, BiP, heat shock proteins, and protein disulfide-isomerases) is enriched by DS-affinity and up-regulated in B-cells of COVID-19 patients, and a similar IgH-associated ER complex was also identified in autoreactive pre-B1 cells in our previous study, which suggests a role of autoreactive B1 cells in COVID-19 that merits further investigation. In summary, this study demonstrates that virally infected cells are characterized by alterations of proteins with propensity to become autoAgs, thereby providing a possible explanation for infection-induced autoimmunity. The COVID autoantigen-ome provides a valuable molecular resource and map for investigation of COVID-related autoimmune sequelae and considerations for vaccine design.
{"title":"An autoantigen-ome from HS-Sultan B-Lymphoblasts offers a molecular map for investigating autoimmune sequelae of COVID-19","authors":"Julia Y. Wang, Wei Zhang, Victor B. Roehrl, Michael W. Roehrl, Michael H. Roehrl","doi":"10.1071/ch22267","DOIUrl":"https://doi.org/10.1071/ch22267","url":null,"abstract":"<p>To understand how COVID-19 may induce autoimmune diseases, we have been compiling an atlas of COVID autoantigens (autoAgs). Using dermatan sulfate (DS) affinity enrichment of autoantigenic proteins extracted from HS-Sultan lymphoblasts, we identified 362 DS-affinity proteins, of which at least 201 (56%) are confirmed autoAgs. Comparison with available multi-omic COVID data shows that 315 (87%) of the 362 proteins are affected in SARS-CoV-2 infection via altered expression, interaction with viral components, or modification by phosphorylation or ubiquitination, at least 186 (59%) of which are known autoAgs. These proteins are associated with gene expression, mRNA processing, mRNA splicing, translation, protein folding, vesicles, and chromosome organization. Numerous nuclear autoAgs were identified, including both classical antinuclear antibodies (ANAs) and extractable nuclear antigens (ENAs) of systemic autoimmune diseases and unique autoAgs involved in the DNA replication fork, mitotic cell cycle, or telomerase maintenance. We also identified many uncommon autoAgs involved in nucleic acid and peptide biosynthesis and nucleocytoplasmic transport, such as aminoacyl-tRNA synthetases. In addition, this study found autoAgs that potentially interact with multiple SARS-CoV-2 Nsp and Orf components, including CCT/TriC chaperonin, insulin degrading enzyme, platelet-activating factor acetylhydrolase, and the ezrin-moesin-radixin family. Furthermore, B-cell-specific IgM-associated endoplasmic reticulum (ER) complex (including MBZ1, BiP, heat shock proteins, and protein disulfide-isomerases) is enriched by DS-affinity and up-regulated in B-cells of COVID-19 patients, and a similar IgH-associated ER complex was also identified in autoreactive pre-B1 cells in our previous study, which suggests a role of autoreactive B1 cells in COVID-19 that merits further investigation. In summary, this study demonstrates that virally infected cells are characterized by alterations of proteins with propensity to become autoAgs, thereby providing a possible explanation for infection-induced autoimmunity. The COVID autoantigen-ome provides a valuable molecular resource and map for investigation of COVID-related autoimmune sequelae and considerations for vaccine design.</p>","PeriodicalId":8575,"journal":{"name":"Australian Journal of Chemistry","volume":"293 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}