Pathogenic Proteins Research Articles

LeishMANIAdb: a comparative resource forLeishmania proteins.

Leishmaniasis is a detrimental disease causing serious changes in quality of life and some forms can lead to death. The disease is spread by the parasite Leishmania transmitted by sandfly vectors and their primary hosts are vertebrates including humans. The pathogen penetrates host cells and secretes proteins (the secretome) to repurpose cells for pathogen growth and to alter cell signaling via host-pathogen protein-protein interactions). Here, we present LeishMANIAdb, a database specifically designed to investigate how Leishmania virulence factors may interfere with host proteins. Since the secretomes of different Leishmania species are only partially characterized, we collated various experimental evidence and used computational predictions to identify Leishmania secreted proteins to generate a user-friendly unified web resource allowing users to access all information available on experimental and predicted secretomes. In addition, we manually annotated host-pathogen interactions of 211 proteins and the localization/function of 3764 transmembrane (TM) proteins of different Leishmania species. We also enriched all proteins with automatic structural and functional predictions that can provide new insights in the molecular mechanisms of infection. Our database may provide novel insights into Leishmania host-pathogen interactions and help to identify new therapeutic targets for this neglected disease. Database URL https://leishmaniadb.ttk.hu/.

Physiological Temperature and Osmotic Changes Drive Dynamic Proteome Alterations in the Leptospiral Outer Membrane and Enhance Protein Export Systems.

Leptospirosis, a remerging zoonosis, has no effective vaccine or an unambiguous early diagnostic reagent. Proteins differentially expressed (DE) under pathogenic conditions will be useful candidates for antileptospiral measures. We employed a multipronged approach comprising high-resolution TMT-labeled LC-MS/MS-based proteome analysis coupled with bioinformatics on leptospiral proteins following Triton X-114 subcellular fractionation of leptospires treated under physiological temperature and osmolarity that mimic infection. Although there were significant changes in the DE proteins at the level of the entire cell, there were notable changes in proteins at the subcellular level, particularly on the outer membrane (OM), that show the significance of subcellular proteome analysis. The detergent-enriched proteins, representing outer membrane proteins (OMPs), exhibited a dynamic nature and upregulation under various physiological conditions. It was found that pathogenic proteins showed a higher proportion of upregulation compared to the nonpathogenic proteins in the OM. Further analysis identified 17 virulent proteins exclusively upregulated in the outer membrane during infection that could be useful for vaccine and diagnostic targets. The DE proteins may aid in metabolic adaptation and are enriched in pathways related to signal transduction and antibiotic biosynthesis. Many upregulated proteins belong to protein export systems such as SEC translocase, T2SSs, and T1SSs, indicating their sequential participation in protein transport to the outer leaflet of the OM. Further studies on OM-localized proteins may shed light on the pathogenesis of leptospirosis and serve as the basis for effective countermeasures.

Antibody-recognizing residues 188-211 of TMEM106B exhibit immunohistochemical reactivity with the TMEM106B C-terminal fragment.

Accumulation of TMEM106B fibrils composed of cleaved C-terminal fragments (CTF) of transmembrane protein 106B (TMEM106B) has recently been observed in the brains of elderly subjects and individuals with neurodegenerative diseases. To date, one antibody recognizing the residues 239-250 has been found to display immunoreactivity to the TMEM106B CTF, thereby defining TMEM106B C-terminal immunoreactive (TMEM-ir) material. Immunohistochemical characterization of the CTF using antibodies targeting different immunogens could further shed light on the attributes of TMEM-ir material and the biological relevance of TMEM106B fibril accumulation in vivo. Therefore, we generated and validated five polyclonal antibodies against distinct CTF immunogens, namely the residues 140-163, 164-187, 188-211, 239-250, and 253-274. The antibody recognizing the residues 239-250 (antibody no. 5: 239-250) was employed to identify cases positive for TMEM-ir material. Among the remaining four antibodies, antibody no. 3: 188-211 exhibited significant immunoreactivity in TMEM-ir material-positive cases. Comparative analyzes indicated that antibody no. 3: 188-211 and antibody no. 5: 239-250 likely recognized the same TMEM-ir material. The TMEM-ir material detected by antibody no. 3: 188-211 was observed across multiple brain cell types without co-localization with other pathogenic proteins. In conclusion, our findings suggest that the antibody recognizing the residues 188-211 displays immunohistochemical reactivity to TMEM-ir material. Therefore, in addition to the established antibody recognizing the residues 239-250, the antibody recognizing the residues 188-211 can potentially be used in immunohistochemical studies to further elucidate the significance of CTF accumulation in the brain.

Immunoinformatic exploration of a multi-epitope-based peptide vaccine candidate targeting emerging variants of SARS-CoV-2.

Many countries around the world are facing severe challenges due to the recently emerging variants of SARS-CoV-2. Over the last few months, scientists have been developing treatments, drugs, and vaccines to subdue the virus and prevent its transmission. In this context, a peptide-based vaccine construct containing pathogenic proteins of the virus known to elicit an immune response was constructed. An analysis of the spike protein-based epitopes allowed us to design an "epitope-based subunit vaccine" against coronavirus using the approaches of "reverse vaccinology" and "immunoinformatics." Computational experimentation and a systematic, comprehensive protocol were followed with an aim to develop and design a multi-epitope-based peptide (MEBP) vaccine candidate. Our study attempted to predict an MEBP vaccine by introducing mutations of SARS-CoV-2 (Delta, Lambda, Iota, Omicron, and Kappa) in Spike glycoprotein and predicting dual-purpose epitopes (B-cell and T-cell). This was followed by screening the selected epitopes based on antigenicity, allergenicity, and population coverage and constructing them into a vaccine by using linkers and adjuvants. The vaccine construct was analyzed for its physicochemical properties and secondary structure prediction, and a 3D structure was built, refined, and validated. Furthermore, the peptide-protein interaction of the vaccine construct with Toll-like receptor (TLR) molecules was performed. Immune profiling was performed to check the immune response. Codon optimization of the vaccine construct was performed to obtain the GC content before cloning it into the E. coli genome, facilitating its progression it into a vector. Finally, an in-silico simulation of the vaccine-protein complex was performed to comprehend its stability and conformational behavior.

Decoding the host-pathogen interspecies molecular crosstalk during oral candidiasis in humans: an in silico analysis.

Introduction: The objective of this study is to investigate the interaction between Candida albicans and human proteins during oral candidiasis, with the aim of identifying pathways through which the pathogen subverts host cells. Methods: A comprehensive list of interactions between human proteins and C. albicans was obtained from the Human Protein Interaction Database using specific screening criteria. Then, the genes that exhibit differential expression during oral candidiasis in C. albicans were mapped with the list of human-Candida interactions to identify the corresponding host proteins. The identified host proteins were further compared with proteins specific to the tongue, resulting in a final list of 99 host proteins implicated in oral candidiasis. The interactions between host proteins and C. albicans proteins were analyzed using the STRING database, enabling the construction of protein-protein interaction networks. Similarly, the gene regulatory network of Candida proteins was reconstructed using data from the PathoYeastract and STRING databases. Core module proteins within the targeted host protein-protein interaction network were identified using ModuLand, a Cytoscape plugin. The expression levels of the core module proteins under diseased conditions were assessed using data from the GSE169278 dataset. To gain insights into the functional characteristics of both host and pathogen proteins, ontology analysis was conducted using Enrichr and YeastEnrichr, respectively. Result: The analysis revealed that three Candida proteins, HHT21, CYP5, and KAR2, interact with three core host proteins, namely, ING4 (in the DNMT1 module), SGTA, and TOR1A. These interactions potentially impair the immediate immune response of the host against the pathogen. Additionally, differential expression analysis of fungal proteins and their transcription factors in Candida-infected oral cell lines indicated that Rob1p, Tye7p, and Ume6p could be considered candidate transcription factors involved in instigating the pathogenesis of oral candidiasis during host infection. Conclusion: Our study provides a molecular map of the host-pathogen interaction during oral candidiasis, along with potential targets for designing regimens to overcome oral candidiasis, particularly in immunocompromised individuals.

Vaccines against tick-borne diseases: a big step forward?

Ticks and tick-borne diseases are on the rise due to socioecosystemic changes and climate modification and are affecting human and animal health. Few vaccines are available. Two recent articles from Matias et al. and Pine et al. used mRNA technology to explore tick and pathogen proteins as vaccine candidates.

Charge within Nt17 peptides modulates huntingtin aggregation and initial lipid binding events

Toxic aggregation of pathogenic huntingtin protein (htt) is implicated in Huntington's disease and influenced by various factors, including the first seventeen amino acids at the N-terminus (Nt17) and the presence of lipid membranes. Nt17 has a propensity to form an amphipathic α-helix in the presence of binding partners, which promotes α-helix rich oligomer formation and facilitates htt/lipid interactions. Within Nt17 are multiple sites that are subject to post-translational modification, including acetylation and phosphorylation. Acetylation can occur at lysine 6, 9, and/or 15 while phosphorylation can occur at threonine 3, serine 13, and/or serine 16. Such modifications impact aggregation and lipid binding through the alteration of various intra- and intermolecular interactions. When incubated with htt-exon1(46Q), free Nt17 peptides containing point mutations mimicking acetylation or phosphorylation reduced fibril formation and altered oligomer morphologies. Upon exposure to lipid vesicles, changes to peptide/lipid complexation were observed and peptide-containing oligomers demonstrated reduced lipid interactions.

Functional diversification despite structural congruence in the HipBST toxin-antitoxin system of Legionella pneumophila.

Toxin-antitoxin (TA) systems are parasitic genetic elements found in almost all bacterial genomes. They are exchanged horizontally between cells and are typically poorly conserved across closely related strains and species. Here, we report the characterization of a tripartite TA system in the bacterial pathogen Legionella pneumophila that is highly conserved across Legionella species genomes. This system (denoted HipBSTLp) is a distant homolog of the recently discovered split-HipA system in Escherichia coli (HipBSTEc). We present bioinformatic, molecular, and structural analyses of the divergence between these two systems and the functionality of this newly described TA system family. Furthermore, we provide evidence to refute previous claims that the toxin in this system (HipTLp) possesses bifunctionality as an L. pneumophila virulence protein. Overall, this work expands our understanding of the split-HipA system architecture and illustrates the potential for undiscovered biology in these abundant genetic elements.

Self-replicating RNA viruses in vaccine development

Self-replicating RNA viruses such as alphaviruses, flaviviruses, paramyxoviruses, and rhabdoviruses have been engineered as expression vectors for vaccine development. The prominent feature of self-replicating RNA viruses is their RNA-dependent RNA polymerase activity, which generates massive self-amplification of RNA in the cytoplasm of infected host cells leading to extreme levels of transgene expression. Infectious diseases have been targeted by overexpression of surface proteins of pathogens as antigens for vaccine development. Moreover, overexpression of tumor-associated antigens and immunostimulatory genes has been the basis for cancer vaccines. Proof-of-concept of robust antigen-specific immune responses and protection against challenges with lethal doses of infectious agents have been demonstrated. Likewise, vaccine development against various cancers has elicited strong immune responses and resulted in tumor regression and eradication, cure, and prolonged survival in animal tumor models. Good safety and immune responses have been achieved in clinical trials. The ERVEBO® vaccine, based on the vesicular stomatitis virus, has been approved for immunization against the Ebola virus disease.

DNA Nanostructures: Self‐Adjuvant Carriers for Highly Efficient Subunit Vaccines

AbstractSubunit vaccines based on antigen proteins or epitopes of pathogens or tumors show advantages in immunological precision and high safety, but are often limited by their low immunogenicity. Adjuvants can boost immune responses by stimulating immune cells or promoting antigen uptake by antigen presenting cells (APCs), yet existing clinical adjuvants struggle in simultaneously achieving these dual functions. Additionally, the spatial organization of antigens might be crucial to their immunogenicity. Hence, superior adjuvants should potently stimulate the immune system, precisely arrange antigens, and effectively deliver antigens to APCs. Recently, precisely organizing and delivering antigens with the unique editability of DNA nanostructures has been proposed, presenting unique abilities in significantly improving the immunogenicity of antigens. In this minireview, we will discuss the principles behind using DNA nanostructures as self‐adjuvant carriers and review the latest advancements in this field. The potential and challenges associated with self‐adjuvant DNA nanostructures will also be discussed.

DNA Nanostructures: Self-Adjuvant Carriers for Highly Efficient Subunit Vaccines.

Subunit vaccines based on antigen proteins or epitopes of pathogens or tumors show advantages in immunological precision and high safety, but are often limited by their low immunogenicity. Adjuvants can boost immune responses by stimulating immune cells or promoting antigen uptake by antigen presenting cells (APCs), yet existing clinical adjuvants struggle in simultaneously achieving these dual functions. Additionally, the spatial organization of antigens might be crucial to their immunogenicity. Hence, superior adjuvants should potently stimulate the immune system, precisely arrange antigens, and effectively deliver antigens to APCs. Recently, precisely organizing and delivering antigens with the unique editability of DNA nanostructures has been proposed, presenting unique abilities in significantly improving the immunogenicity of antigens. In this minireview, we will discuss the principles behind using DNA nanostructures as self-adjuvant carriers and review the latest advancements in this field. The potential and challenges associated with self-adjuvant DNA nanostructures will also be discussed.

Real-Time Detection of Dynamic Affinity between Biomolecules Using Surface Plasmon Resonance (SPR) Technology.

Surface plasmon resonance (SPR) technology is a sensitive precise method for detecting viruses, pathogenic molecular proteins, and receptors, determining blood types, and detecting food adulteration, among other biomolecular detections. This technology allows for the rapid identification of potential binding between biomolecules, facilitating fast and user-friendly, non-invasive screening of various indicators without the need for labeling. Additionally, SPR technology facilitates real-time detection for high-throughput drug screening. In this program, the application field and basic principles of SPR technology are briefly introduced. The operation process is outlined in detail, starting with instrument calibration and basic system operation, followed by ligand capture and multi-cycle analysis of the analyte. The real-time curve and experimental results of binding quercetin and calycosin to KCNJ2 protein were elaborated upon. Overall, SPR technology provides a highly specific, simple, sensitive, and rapid method for drug screening, real-time detection of related pharmacokinetics, virus detection, and environmental and food safety identification.

Validating Interactions of Pathogenic Proteins of Staphylococcus aureus and E. coli with Phytochemicals of Ziziphus jujube and Acacia nilotica.

This study focused on the assessment of the antimicrobial resistance of Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) isolated from bovine mastitis milk samples and the revealing anti-mastitis potential of phytocompounds of Ziziphus jujube and Acacia nilotica through molecular docking analysis. The mastitis milk samples were collected from various dairy farms for the isolation of the bacteria (S. aureus and E. coli) and their response to antibiotics. Ethanolic extracts of both plants were prepared. Their antibacterial activity was evaluated, and they were processed for phytochemical analysis after which, molecular docking analysis with pathogenic proteins of the bacteria was carried out. Parametric and non-parametric statistical analyses were performed to reach the conclusions of this study. The findings of the study revealed a higher drug resistance (≥40%) of E. coli against ampicillin, amikacin, and vancomycin, while S. aureus exhibited the highest resistance to ampicillin, erythromycin, and ciprofloxacin. The ethanolic extracts of the Ziziphus jujube and Acacia nilotica plants produced a ZOI between 18 and 23 mm against multidrug-resistant S. aureus and E. coli. Gas chromatography-mass spectrophotometry (GC-MS) was used to explore 15 phytocompounds from Ziziphus jujube and 18 phytocompounds from Acacia nilotica. The molecular docking analysis of 2cyclopenten-1-one,3,4,4 trimethyl and Bis (2ethylhexyl) phthalate of Ziziphus jujube showed a binding affinity of -4.8 kcal/mol and -5.3 kcal/mol and -5.9 kcal/mol and -7.1 kcal/mol against the DNA Gyrase and toxic shock syndrome toxin-1 proteins of S. aureus and E. coli, respectively. The suberic acid monomethyl ester of Acacia nilotica showed a binding affinity of -5.9 kcal/mol and -5 kcal/mol against the outer membrane protein A and Topoisomerase IV protein of E. coli and -5.1 kcal/mol and -5.8 kcal/mol against the toxic shock syndrome toxin-1 and Enterotoxin B proteins of S. aureus. Similarly, 2,2,4-trimethyl-1,3-pentanediol di-iso-butyrate showed a binding affinity of -6.5 kcal/mol and -5.3 kcal/mol against the outer membrane protein A and Topoisomerase IV of E. coli and -5.2 kcal/mol and -5.9 kcal/mol against the toxic shock syndrome toxin-1 and Enterotoxin B proteins of S. aureus, respectively. The study concluded that there was an increasing trend for the antimicrobial resistance of S. aureus and E. coli, while the Ziziphus jujube and Acacia nilotica plant extracts expressed significant affinity to tackle this resistance; hence, this calls for the development of novel evidence-based therapeutics.

Ubiquitin-Dependent and Independent Proteasomal Degradation in Host-Pathogen Interactions.

Ubiquitin, a small protein, is well known for tagging target proteins through a cascade of enzymatic reactions that lead to protein degradation. The ubiquitin tag, apart from its signaling role, is paramount in destabilizing the modified protein. Here, we explore the complex role of ubiquitin-mediated protein destabilization in the intricate proteolysis process by the 26S proteasome. In addition, the significance of the so-called ubiquitin-independent pathway and the role of the 20S proteasome are considered. Next, we discuss the ubiquitin-proteasome system's interplay with pathogenic microorganisms and how the microorganisms manipulate this system to establish infection by a range of elaborate pathways to evade or counteract host responses. Finally, we focus on the mechanisms that rely either on (i) hijacking the host and on delivering pathogenic E3 ligases and deubiquitinases that promote the degradation of host proteins, or (ii) counteracting host responses through the stabilization of pathogenic effector proteins.

Predicting pathogenic protein variants.

Machine-learning algorithm uses structure prediction to spot disease-causing mutations.

The distribution variation of pathogens and virulence factors in different geographical populations of giant pandas.

Intestinal diseases caused by opportunistic pathogens seriously threaten the health and survival of giant pandas. However, our understanding of gut pathogens in different populations of giant pandas, especially in the wild populations, is still limited. Here, we conducted a study based on 52 giant panda metagenomes to investigate the composition and distribution of gut pathogens and virulence factors (VFs) in five geographic populations (captive: GPCD and GPYA; wild: GPQIN, GPQIO, and GPXXL). The results of the beta-diversity analyzes revealed a close relationship and high similarity in pathogen and VF compositions within the two captive groups. Among all groups, Proteobacteria, Firmicutes, and Bacteroidetes emerged as the top three abundant phyla. By using the linear discriminant analysis effect size method, we identified pathogenic bacteria unique to different populations, such as Klebsiella in GPCD, Salmonella in GPYA, Hafnia in GPQIO, Pedobacter in GPXXL, and Lactococcus in GPQIN. In addition, we identified 12 VFs that play a role in the intestinal diseases of giant pandas, including flagella, CsrA, enterobactin, type IV pili, alginate, AcrAB, capsule, T6SS, urease, type 1 fimbriae, polar flagella, allantoin utilization, and ClpP. These VFs influence pathogen motility, adhesion, iron uptake, acid resistance, and protein regulation, thereby contributing to pathogen infection and pathogenicity. Notably, we also found a difference in virulence of Pseudomonas aeruginosa between GPQIN and non-GPQIN wild populations, in which the relative abundance of VFs (0.42%) of P. aeruginosa was the lowest in GPQIN and the highest in non-GPQIN wild populations (GPXXL: 23.55% and GPQIO: 10.47%). In addition to enhancing our understanding of gut pathogens and VFs in different geographic populations of giant pandas, the results of this study provide a specific theoretical basis and data support for the development of effective conservation measures for giant pandas.

Alteration of Neural Network and Hippocampal Slice Activation through Exosomes Derived from 5XFAD Nasal Lavage Fluid.

Exosomes, key mediators of intercellular transmission of pathogenic proteins, such as amyloid-beta and tau, significantly influence the progression and exacerbation of Alzheimer's disease (AD) pathology. Present in a variety of biological fluids, including cerebrospinal fluid, blood, saliva, and nasal lavage fluid (NLF), exosomes underscore their potential as integral mediators of AD pathology. By serving as vehicles for disease-specific molecules, exosomes could unveil valuable insights into disease identification and progression. This study emphasizes the imperative to investigate the impacts of exosomes on neural networks to enhance our comprehension of intracerebral neuronal communication and its implications for neurological disorders like AD. After harvesting exosomes derived from NLF of 5XFAD mice, we utilized a high-density multielectrode array (HD-MEA) system, the novel technology enabling concurrent recordings from thousands of neurons in primary cortical neuron cultures and organotypic hippocampal slices. The ensuing results revealed a surge in neuronal firing rates and disoriented neural connectivity, reflecting the effects provoked by pathological amyloid-beta oligomer treatment. The local field potentials in the exosome-treated hippocampal brain slices also exhibited aberrant rhythmicity, along with an elevated level of current source density. While this research is an initial exploration, it highlights the potential of exosomes in modulating neural networks under AD conditions and endorses the HD-MEA as an efficacious tool for exosome studies.

Unravelling the Mode of Action of Wound Healing Efficiency with the compounds Screened from Hygrophila auriculata by Molecular docking Studies

Hygrophila auriculata is one of the traditional herbal plants utilized by many rural folks to heal wounds. According to the traditional knowledge, the roots of the plant would be highly effective for wound healing. the plant-based secondary metabolites remain an essential aspect in developing novel drug candidates. the early screening of bioactive compounds for a therapeutic property would be strongly evidenced to carry out the in vitro and in vivo studies. the current study focuses on screening bioactive compounds involved in wound healing using in silico molecular docking studies. the LcMS analysis of H. auriculata yielded about 15 compounds in positive and negative modes with the greatest medicinal properties. the drug-likeness, physicochemical properties, and bioactivity scores were evaluated for 15 compounds using SWISS AdME online tool. the compounds that indicate drug like properties and adhere to the permissible parameters are epiafzelechin, betulin, caffeic acid 3-glucoside, quercetin, palmitic acid, linoleic acid, chlorogenic acid, myristic acid, and 5, P coumaroyl quinic acid implying to be a cell-permeable and orally active drug. the bioactivity scores indicated that the compounds to be highly active. the binding affinities were checked with the wound pathogenic proteins such as Elastase, Glycogen synthase kinase-3β, gelatinase, and collagenase. the compounds that fall within the drug-likeness limit were further evaluated for AdMEt properties and predicted that majority compounds are nontoxic and easily absorbed. the docking score ranged from -1.56 kcal/mol to -9.65 kcal/mol which exhibited the strongest binding affinity. the effective binding of compounds like epiafzelechin, betulin, kaempferol-7-o-Glucoside, linoleic acid, chlorogenic acid, and quercetin with these proteins provides evidence for further research to elucidate the underlying mechanism that promotes wound healing of Hygrophila auriculata root.

Degradation of Cyclin-Dependent Kinase 9/Cyclin T1 by Optimized Microtubule-Associated Protein 1 Light Chain 3 Beta-Recruiting Coumarin Analogs.

Autophagy is an efficient and attractive protein degradation pathway in addition to the ubiquitin-proteasome system. Herein, systematic optimization of coumarin analogs linked with the CDK9 inhibitor SNS-032 is reported that may bind to cyclin-dependent kinase 9 (CDK9) and microtubule-associated protein 1 light chain 3 beta (LC3B) simultaneously, which leads to the selective autophagic degradation of targeted CDK9/cyclin T1 and is different from the PROTAC degrader THAL-SNS-032. Further mechanism studies revealed an autophagy-lysosome pathway, where the degraders possibly formed a ternary complex with CDK9 and LC3B. In addition, degrader 10 showed antitumor efficacy in vivo. Our work optimized a potent LC3B recruiter and demonstrated the feasibility of autophagy-tethering compounds (ATTECs), which could be applied for the degradation of diverse intracellular pathogenic proteins to treat related diseases.

Stress-mediated aggregation of disease-associated proteins in amyloid bodies

The formation of protein aggregates is a hallmark of many neurodegenerative diseases and systemic amyloidoses. These disorders are associated with the fibrillation of a variety of proteins/peptides, which ultimately leads to cell toxicity and tissue damage. Understanding how amyloid aggregation occurs and developing compounds that impair this process is a major challenge in the health science community. Here, we demonstrate that pathogenic proteins associated with Alzheimer’s disease, diabetes, AL/AA amyloidosis, and amyotrophic lateral sclerosis can aggregate within stress-inducible physiological amyloid-based structures, termed amyloid bodies (A-bodies). Using a limited collection of small molecule inhibitors, we found that diclofenac could repress amyloid aggregation of the β-amyloid (1–42) in a cellular setting, despite having no effect in the classic Thioflavin T (ThT) in vitro fibrillation assay. Mapping the mechanism of the diclofenac-mediated repression indicated that dysregulation of cyclooxygenases and the prostaglandin synthesis pathway was potentially responsible for this effect. Together, this work suggests that the A-body machinery may be linked to a subset of pathological amyloidosis, and highlights the utility of this model system in the identification of new small molecules that could treat these debilitating diseases.