Relevant Proteins Research Articles

IRG1/Itaconate inhibits proliferation and promotes apoptosis of CD69+CD103+CD8+ tissue-resident memory T cells in autoimmune hepatitis by regulating the JAK3/STAT3/P53 signalling pathway.

To investigate the protective role of immune response gene 1 (IRG1) and exogenous itaconate in autoimmune hepatitis (AIH) and elucidate the underlying mechanisms. Wild-type and IRG1-/- AIH mouse models were established, and samples of liver tissue and ocular blood were collected from each group of mice to assess the effects of IRG1/itaconate on the expression of pro- and anti-inflammatory cytokines. The levels of liver enzymes and related inflammatory factors were determined using enzyme-linked immunosorbent assay and real-time quantitative polymerase chain reaction (PCR). Liver histomorphology was detected through hematoxylin and eosin staining and then scored for liver injury, and the infiltration levels of tissue-resident memory T (TRM) cells and related molecules in the liver tissue were detected through immunofluorescence staining in vitro. RNA sequencing and gene enrichment analysis were conducted to identify the corresponding molecules and pathways, and lentiviral transfection was used to generate TRM cell lines with IRG1, Jak3, Stat3, and p53 knockdown. Real-time quantitative PCR and western blot were performed to detect the expression levels of relevant mRNAs and proteins in the liver tissue and cells. The percentage of apoptotic cells was determined using flow cytometry. IRG1/itaconate effectively reduced the release of pro-inflammatory cytokines and the pathological damage to liver tissue, thereby maintaining normal liver function. At the same time, IRG1/itaconate inhibited the JAK3/STAT3 signaling pathway, regulated the expression of related downstream proteins, and inhibited the proliferation and promoted the apoptosis of CD69+CD103+CD8+ TRM cells. For the first time, P53 was found to act as a downstream molecule of the JAK3/STAT3 pathway and was regulated by IRG1/itaconate to promote the apoptosis of CD8+ TRM cells. IRG1/itaconate can alleviate concanavalin A-induced autoimmune hepatitis in mice by inhibiting the proliferation and promoting the apoptosis of CD69+CD103+CD8+ TRM cells via the JAK3/STAT3/P53 pathway.

Biochanin obstructs human serum albumin from non-enzymatic glycation: an in vitro approach

Various serum proteins, like Human Serum Albumin (HSA) and others, are susceptible to glycation and the formation of Advanced Glycation End Products (AGEs). Diabetes and other diseases are associated with AGE development. Recently, isoflavones have been studied for their therapeutic benefits. In the present study, we glycated HSA with Methylglyoxal (MGO) with and without the test compound, i.e., Biochanin A (BCA), to test its antiglycating capacity. We studied the biochemical and biophysical effects of glycation on HSA with and without BCA and also took the help of the in silico technique. Analytical methods included intrinsic and extrinsic fluorescence, polyacrylamide gel electrophoresis (PAGE), UV spectroscopy, far UV circular dichroism, and others. For structural comprehension, TEM and SEM were used. Molecular docking and simulation were employed to observe BCA-HSA's site-specific interaction. Since HSA is a therapeutically relevant protein involved in many disorders, this study’s findings are important. Communicated by Ramaswamy H. Sarma

Sensitive osteoarthritis sensing by salt-induced aggregation and dispersion of gold nanoparticles.

Osteoarthritis occurs in any joints, and identification in its earlier stages helps to treat the disease and increase the recovery rate. The radiography method and imaging techniques are traditionally used to identify osteoarthritis. But these methods are expensive, and with the complicated steps. Researchers are working toward developing a highly sensitive biosensor in identifying the osteoarthritis biomarker. This research was focused on developing a C-terminal telopeptide of type II collagen (CTX-II) colorimetric sensor with gold nanoparticle (AuNP) for diagnosing osteoarthritis. Anti-CTX-II was conjugated with AuNP and then added with CTX-II and sodium chloride for the color change. In the presence of CTX-II, antibody releases from AuNP then binds with CTX-II, and the color of AuNP changed to purple. Without the CTX-II, AuNP remains its red color (dispersed). This easier colorimetric assay detected the CTX-II as low as 2ng/mL on linear regression [y=0.0131x-0.0051; R2=0.9205]. Furthermore, control performances with the relevant proteins osteopontin, IL-6, and nonimmune antibody failed to change the color confirming the specific identification of CTX-II.

G Protein Activation Occurs via a Largely Universal Mechanism.

Understanding how signaling proteins like G proteins are allosterically activated is a long-standing challenge with significant biological and medical implications. Because it is difficult to directly observe such dynamic processes, much of our understanding is based on inferences from a limited number of static snapshots of relevant protein structures, mutagenesis data, and patterns of sequence conservation. Here, we use computer simulations to directly interrogate allosteric coupling in six G protein α-subunit isoforms covering all four G protein families. To analyze this data, we introduce automated methods for inferring allosteric networks from simulation data and assessing how allostery is conserved or diverged among related protein isoforms. We find that the allosteric networks in these six G protein α subunits are largely conserved and consist of two pathways, which we call pathway-I and pathway-II. This analysis predicts that pathway-I is generally dominant over pathway-II, which we experimentally corroborate by showing that mutations to pathway-I perturb nucleotide exchange more than mutations to pathway-II. In the future, insights into unique elements of each G protein family could inform the design of isoform-specific drugs. More broadly, our tools should also be useful for studying allostery in other proteins and assessing the extent to which this allostery is conserved in related proteins.

Abstract LB030: Building a platform of validated high throughput screening approaches for molecular glue degrader identification

Abstract Over recent years, Induced proximity therapeutics (IPT) and targeted protein degradation (TPD) approaches have become increasingly popular. Whilst significant initial efforts focused upon heterobifunctional degraders, molecular glue degraders (MGDs) represent the next generation proximity-based drugs, but their rational discovery remains challenging. Here, we describe unbiased and broadly applicable approaches for molecular glue hit ID through the development of a suite of orthogonal and highly complementary screening approaches, relying on Homogeneous Time-Resolved Fluorescence (HTRF), Surface Plasmon Resonance (SPR) and High Content Imaging (HCI). To demonstrate the utility of these assays, we have focussed on the therapeutically relevant protein SOS1 as a model target. SOS1 is the major guanine nucleotide exchange factor (GEF) for KRAS, where inhibition of the SOS1/KRAS interaction reduces tumor growth in preclinical settings, and small molecule inhibitors of the SOS1/KRAS interaction are currently undergoing clinical testing for KRAS driven cancers. Our HTRF approach measures the induced interaction between the ubiquitin ligase CRBN/DDB1 and the SOS1 protein. The assay was successfully developed and validated in a miniaturized format utilizing a bifunctional tool compound as a positive control. Complementing our HTRF based approach, we also developed a highly sensitive SPR assay for detecting compounds that generate a ternary complex with CRBN/DDB1. These assay formats are amenable for large scale HTS screening, and as proof-of-concept we have established workflows and screened compound collections from the Sygnature LeadFinder and fragment libraries, in each of these assay platforms. Our combined biochemical/biophysical approach to glue identification using HTRF and SPR demonstrates the successful and scalable use of these methodologies for HTS, with the exciting potential for identification of novel MGD candidates for SOS1. To further complement these strategies for glue identification, we have additionally developed a functional cell-based approach utilizing HCI. HCI offers a medium-high throughput approach to monitor endogenous protein abundance and localization in complex cellular models. One major advantage of imaging assays is that they are amenable to multiplexing, allowing simultaneous detection of target engagement, biomarker analysis and compound toxicity. Here, we showcase HCI as a robust, high throughput method of screening for induced protein degradation at the endogenous level, again focusing on the KRAS pathway. Using this approach we quantified endogenous protein abundance in response to compound treatment, as well as downstream effects in the RAS pathway. Together, these approaches demonstrate multiple, complementary options for identifying molecular glue degraders. Further, the described assays are also applicable for screening and characterization of bifunctional degrader compounds. This platform is poised to identify high quality lead compounds across a range of oncology targets in areas of unmet clinical need. Citation Format: Allan Jordan, Philip Addis, Toby Allen, Tarun Ayra, Sarah Beck, Roslyn Brant, Roland Hjerpe, Benoit Gourdet, Martin Jennings, Rachel Lawrence, Sigrun Campbell-Maurer, Pei Cing Ng, Lyn Parkinson, Eva Rejnowicz, Gonzalo Robles, Elizabeth Rosethorne, Joshua Shaw, Duncan Smith, Denise Swift, Daniel Tait, Stuart Thomson, Chris Tomlinson, Ailsa Townley, Stephanie Ward, Clare Wilson. Building a platform of validated high throughput screening approaches for molecular glue degrader identification [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB030.

Characterization of the plasma proteome from healthy adult dogs.

Bloodwork is a widely used diagnostic tool in veterinary medicine, as diagnosis and therapeutic interventions often rely on blood biomarkers. However, biomarkers available in veterinary medicine often lack sensitivity or specificity. Mass spectrometry-based proteomics technology has been extensively used in the analysis of biological fluids. It offers excellent potential for a more comprehensive characterization of the plasma proteome in veterinary medicine. In this study, we aimed to identify and quantify plasma proteins in a cohort of healthy dogs and compare two techniques for depleting high-abundance plasma proteins to enable the detection of lower-abundance proteins via label-free quantification liquid chromatography-mass spectrometry. We utilized surplus lithium-heparin plasma from 30 healthy dogs, subdivided into five groups of pooled plasma from 6 randomly selected individuals each. Firstly, we used a commercial kit to deplete high-abundance plasma proteins. Secondly, we employed an in-house method to remove albumin using Blue-Sepharose. Among all the samples, some of the most abundant proteins identified were apolipoprotein A and B, albumin, alpha-2-macroglobulin, fibrinogen beta chain, fibronectin, complement C3, serotransferrin, and coagulation factor V. However, neither of the depletion techniques achieved significant depletion of highly abundant proteins. Despite this limitation, we could detect and quantify many clinically relevant proteins. Determining the healthy canine proteome is a crucial first step in establishing a reference proteome for canine plasma. After enrichment, this reference proteome can later be utilized to identify protein markers associated with different diseases, thereby contributing to the diagnosis and prognosis of various pathologies.

Strategies for the Construction of Multicyclic Phage Display Libraries.

Peptide therapeutics have gained great interest due to their multiple advantages over small molecule and antibody-based drugs. Peptide drugs are easier to synthesize, have the potential for oral bioavailability, and are large enough to target protein-protein interactions that are undruggable by small molecules. However, two major limitations have made it difficult to develop novel peptide therapeutics not derived from natural products, including the metabolic instability of peptides and the difficulty of reaching antibody-like potencies and specificities. Compared to linear and disulfide-monocyclized peptides, multicyclic peptides can provide increased conformational rigidity, enhanced metabolic stability, and higher potency in inhibiting protein-protein interactions. The identification of novel multicyclic peptide binders can be difficult, however, recent advancements in the construction of multicyclic phage libraries have greatly advanced the process of identifying novel multicyclic peptide binders for therapeutically relevant protein targets. This review will describe the current approaches used to create multicyclic peptide libraries, highlighting the novel chemistries developed and the proof-of-concept work done on validating these libraries against different protein targets.

Proteome profiling of home-sampled dried blood spots reveals proteins of SARS-CoV-2 infections

BackgroundSelf-sampling of dried blood spots (DBS) offers new routes to gather valuable health-related information from the general population. Yet, the utility of using deep proteome profiling from home-sampled DBS to obtain clinically relevant insights about SARS-CoV-2 infections remains largely unexplored.MethodsOur study involved 228 individuals from the general Swedish population who used a volumetric DBS sampling device and completed questionnaires at home during spring 2020 and summer 2021. Using multi-analyte COVID-19 serology, we stratified the donors by their response phenotypes, divided them into three study sets, and analyzed 276 proteins by proximity extension assays (PEA). After normalizing the data to account for variances in layman-collected samples, we investigated the association of DBS proteomes with serology and self-reported information.ResultsOur three studies display highly consistent variance of protein levels and share associations of proteins with sex (e.g., MMP3) and age (e.g., GDF-15). Studying seropositive (IgG+) and seronegative (IgG-) donors from the first pandemic wave reveals a network of proteins reflecting immunity, inflammation, coagulation, and stress response. A comparison of the early-infection phase (IgM+IgG-) with the post-infection phase (IgM-IgG+) indicates several proteins from the respiratory system. In DBS from the later pandemic wave, we find that levels of a virus receptor on B-cells differ between seropositive (IgG+) and seronegative (IgG-) donors.ConclusionsProteome analysis of volumetric self-sampled DBS facilitates precise analysis of clinically relevant proteins, including those secreted into the circulation or found on blood cells, augmenting previous COVID-19 reports with clinical blood collections. Our population surveys support the usefulness of DBS, underscoring the role of timing the sample collection to complement clinical and precision health monitoring initiatives.

Membranes on the move: The functional role of the extracellular vesicle membrane for contact-dependent cellular signalling.

Extracellular vesicles (EVs), lipid-enclosed structures released by virtually all life forms, have gained significant attention due to their role in intercellular and interorganismal communication. Despite their recognized importance in disease processes and therapeutic applications, fundamental questions about their primary function remain. Here, we propose a different perspective on the primary function of EVs, arguing that they serve as essential elements providing membrane area for long-distance, contact-dependent cellular communication based on protein-protein interaction. While EVs have been recognized as carriers of genetic information, additional unique advantages that they could provide for cellular communication remain unclear. Here, we introduce the concept that the substantial membrane area provided by EVs allows for membrane contact-dependent interactions that could be central to their function. This membrane area enables the lateral diffusion and sorting of membrane ligands like proteins, polysaccharides or lipids in two dimensions, promoting avidity-driven effects and assembly of co-stimulatory architectures at the EV-cell interface. The concept of vesicle-induced receptor sequestration (VIRS), for example, describes how EVs confine and focus receptors at the EV contact site, promoting a dense local concentration of receptors into signalosomes. This process can increase the signalling strength of EV-presented ligands by 10-1000-fold compared to their soluble counterparts. The speculations in this perspective advance our understanding of EV-biology and have critical implications for EV-based applications and therapeutics. We suggest a shift in perspective from viewing EVs merely as transporters of relevant nucleic acids and proteins to considering their unique biophysical properties as presentation platforms for long-distance, contact-dependent signalling. We therefore highlight the functional role of the EV membrane rather than their content. We further discuss how this signalling mechanism might be exploited by virus-transformed or cancer cells to enhance immune-evasive mechanisms.

208 Preliminary Results of Novel Method for Identifying Ischemic Stroke Vesicular Protein Signature in Cardiac Surgery Patients

INTRODUCTION: Acute ischemic stroke (AIS) treatment depends on timely diagnosis. Identifying an efficient, blood-based protein signature for AIS has been limited by the lack of a pre-ischemia control group. Here we report the preliminary results of a model for AIS protein signature discovery using cardiac surgery patients and novel mass spectrometry techniques. METHODS: Twenty patients undergoing aortic arch repair with deep hypothermic circulatory arrest (n = 17) or coronary artery bypass graft (n = 3) were enrolled. Blood samples were obtained immediately pre- and postoperatively. Magnetic resonance imaging (MRI) of the brain was obtained within 72 hours of surgery. Presence of infarct and total ischemic volume was determined. A novel protein enrichment and mass spectrometry analysis technique (MAG-Net) was used to characterize the pre- and post-surgical proteomes present in extracellular vesicles. Analysis of variance (ANOVA) (false discovery rate < 0.05) was used to analyze protein signatures associated with infarction. RESULTS: Post-surgical infarct occurred in 15 patients (75%), with a median volume of 108mm3. A total of 5,376 proteins were identified, 1,125 of which showed a significant difference between paired pre- and post-operative concentrations. Of these 1,125 proteins, 524 proteins were unique to patients without infarction, 340 proteins had a significant change in both populations, and 261 proteins were unique to patients with infarcts. There were no significant proteins for the interaction term comparing pre- and post-operative differences between the infarct/no infarct groups. CONCLUSIONS: This clinical model for AIS protein signature development relies on the high rate of ischemia during cardiac surgery to allow for pre-stroke sample collection. The MAG-Net technique enables efficient processing of biologically relevant extracellular vesicle proteins and analysis of an unbiased protein signature. The preliminary results demonstrate the feasibility of combining these innovations for AIS protein signature discovery.

Inhibition of Proliferation and Induction of Apoptosis in Prostatic Carcinoma DU145 Cells by Polysaccharides from Yunnan Rosa roxburghii Tratt.

This study aimed to investigate methodologies for the extraction and purification of polysaccharides from Rosa roxburghii Tratt fruits and their impact on various cellular processes in prostate cancer DU145 cells, including survival rate, migration, invasion, cell cycle, and apoptosis. Compared to the control group, the polysaccharide exhibited a significant reduction in the viability, migration, and invasion rates of DU145 cells in a time- and dose-dependent manner within the polysaccharide-treated groups. Additionally, it effectively arrested the cell cycle of DU145 cells at the G0/G1 phase by downregulating the expressions of CDK-4, CDK-6, and Cyclin D1. Furthermore, it induced apoptosis by upregulating the expressions of Caspase 3, Caspase 8, Caspase 9, and BAX. Polysaccharides were extracted from Rosa roxburghii Tratt sourced from Yunnan, China. Extraction and decolorization methods were optimized using response surface methodology, based on a single-factor experiment. Polysaccharide purification was carried out using DEAE-52 cellulose and Sephadex G-100 column chromatography. The optimal dosage of R. roxburghii Tratt polysaccharide affecting DU145 cells was determined using the CCK-8 assay. Cell migration and invasion were assessed using transwell and scratch assays. Flow cytometry was employed to analyze the effects on the cell cycle and apoptosis. Western blotting and Quantitative real-time PCR were utilized to examine protein and mRNA expressions in DU145 cells, respectively. Rosa roxburghii Tratt polysaccharides, consisting of D-mannose, L-rhamnose, N-acetyl-D-glucosamine, D-galacturonic acid, D-glucose, D-galactcose, D-xylose, L-arabinose, and L-fucose, possess the ability to hinder DU145 cell proliferation, migration, and invasion while inducing apoptosis through the modulation of relevant protein and gene expressions.

The mmu_circ_003062, hsa_circ_0075663/miR-490-3p/CACNA1H axis mediates apoptosis in renal tubular cells in association with endoplasmic reticulum stress following ischemic acute kidney injury

BackgroundWhile recent studies have suggested a potential involvement of circRNAs in acute kidney injury (AKI) after ischemia, mmu_circ_003062 role is undetermined. MethodsThe levels of mmu_circ_003062, miR-490-3p, CACNA1H, GRP78, CHOP and hsa_circ_0075663 were detected by Relative qPCR in Boston University mouse proximal tubule (BUMPT) cells, mouse kidneys, and human renal tubular epithelial (HK-2) cells. Moreover, the levels of hsa_circ_0075663 in serum and urine of patients with AKI following cardiopulmonary resuscitation (CPR) were detected by absolute quantitative PCR. Western blot was used to detect the relative expression of the protein. The function and regulatory mechanism of mmu_circ_003062 and hsa_circ_0075663 were investigated through a series of in vitro and in vivo experiments, including bioinformatic prediction, luciferase reporter assays, FISH, FCM, TUNEL staining, and H&E staining. ResultsIt was found that mmu_circ_003062, hsa_circ_0075663 mediated apoptosis after ischemia/reperfusion (I/R) by interaction with miR-490-3p to enhance CACNA1H expression, thereby leading to the upregulation of endoplasmic reticulum stress (ERS)-relevant proteins GRP78 and CHOP. Ultimately, mmu_circ_003062 downregulation significantly ameliorated ischemic AKI by modulating the miR-490-3p/CACNA1H/GRP78 and CHOP pathway. Furthermore, the plasma and urinary levels of hsa_circ_0075663 in patients with AKI following CPR were significantly higher than non-AKI patients, exhibited a strongly correlation with serum creatinine. ConclusionThe involvement of mmu_circ_003062, hsa_circ_0075663/miR-490-3p/CACNA1H/GRP78 and CHOP axis is significant in the development of ischemic AKI. Moreover, hsa_circ_0075663 has potential as an early diagnostic biomarker.

New pyridine-based chalcones and pyrazolines with anticancer, antibacterial, and antiplasmodial activities.

New pyridine-based chalcones 4a-h and pyrazolines 5a-h (N-acetyl), 6a-h (N-phenyl), and 7a-h (N-4-chlorophenyl) were synthesized and evaluated by the National Cancer Institute (NCI) against 60 different human cancer cell lines. Pyrazolines 6a, 6c-h, and 7a-h satisfied the pre-determined threshold inhibition criteria, obtaining that compounds 6c and 6f exhibited high antiproliferative activity, reaching submicromolar GI50 values from 0.38 to 0.45 μM, respectively. Moreover, compound 7g (4-CH3) exhibited the highest cytostatic activity of these series against different cancer cell lines from leukemia, nonsmall cell lung, colon, ovarian, renal, and prostate cancer, with LC50 values ranging from 5.41 to 8.35 μM, showing better cytotoxic activity than doxorubicin. Furthermore, the compounds were tested for antibacterial and antiplasmodial activities. Chalcone 4c was the most active with minimal inhibitory concentration (MIC) = 2 μg/mL against methicillin-resistant Staphylococcus aureus (MRSA), while the pyrazoline 6h showed a MIC = 8 μg/mL against Neisseria gonorrhoeae. For anti-Plasmodium falciparum activity, the chalcones display higher activity with EC50 values ranging from 10.26 to 10.94 μg/mL. Docking studies were conducted against relevant proteins from P. falciparum, exhibiting the minimum binding energy with plasmepsin II. In vivo toxicity assay in Galleria mellonella suggests that most compounds are low or nontoxic.

Large-scale plasma proteomics in the UK Biobank modestly improves prediction of major cardiovascular events in a population without previous cardiovascular disease.

Improved identification of individuals at high risk of developing cardiovascular disease would enable targeted interventions and potentially lead to reductions in mortality and morbidity. Our aim was to determine whether use of large-scale proteomics improves prediction of cardiovascular events beyond traditional risk factors (TRFs). Using proximity extension assays, 2919 plasma proteins were measured in 38 380 participants of the UK Biobank. Both data- and literature-based feature selection and trained models using extreme gradient boosting machine learning were used to predict risk of major cardiovascular events (MACEs: fatal and non-fatal myocardial infarction, stroke, and coronary artery revascularization) during a 10-year follow-up. Area under the curve (AUC) and net reclassification index (NRI) were used to evaluate the additive value of selected protein panels to MACE prediction by Systematic COronary Risk Evaluation 2 (SCORE2) or the 10 TRFs used in SCORE2. SCORE2 and SCORE2 refitted to UK Biobank data predicted MACE with AUCs of 0.740 and 0.749, respectively. Data-driven selection identified 114 proteins of greatest relevance for prediction. Prediction of MACE was not improved by using these proteins alone (AUC of 0.758) but was significantly improved by combining these proteins with SCORE2 or the 10 TRFs (AUC = 0.771, P < 001, NRI = 0.140, and AUC = 0.767, P = 0.03, NRI 0.053, respectively). Literature-based protein selection (113 proteins from five previous studies) also improved risk prediction beyond TRFs while a random selection of 114 proteins did not. Large-scale plasma proteomics with data-driven and literature-based protein selection modestly improves prediction of future MACE beyond TRFs.

Protein Ensemble Generation Through Variational Autoencoder Latent Space Sampling.

Mapping the ensemble of protein conformations that contribute to function and can be targeted by small molecule drugs remains an outstanding challenge. Here, we explore the use of variational autoencoders for reducing the challenge of dimensionality in the protein structure ensemble generation problem. We convert high-dimensional protein structural data into a continuous, low-dimensional representation, carry out a search in this space guided by a structure quality metric, and then use RoseTTAFold guided by the sampled structural information to generate 3D structures. We use this approach to generate ensembles for the cancer relevant protein K-Ras, train the VAE on a subset of the available K-Ras crystal structures and MD simulation snapshots, and assess the extent of sampling close to crystal structures withheld from training. We find that our latent space sampling procedure rapidly generates ensembles with high structural quality and is able to sample within 1 Å of held-out crystal structures, with a consistency higher than that of MD simulation or AlphaFold2 prediction. The sampled structures sufficiently recapitulate the cryptic pockets in the held-out K-Ras structures to allow for small molecule docking.

Highly Accurate Profiling of Exosome Phenotypes Using Super-resolution Tricolor Fluorescence Co-localization.

Exosomes contain a wealth of proteomic information, presenting promising biomarkers for the noninvasive early diagnosis of diseases, especially cancer. However, it remains a great challenge to accurately and reliably distinguish exosomes secreted from different types of cell lines. Fluorescence immunoassay is frequently used for exosome detection. Nonspecific adsorption in immunoassays is unavoidable and affects the reliability of assay results. Despite the fact that various methods have been proposed to reduce nonspecific adsorption, a more effective method that can eliminate the influence of nonspecific adsorption is still lacking. Here, we report a more convenient way (named SR-TFC) to remove the artifacts caused by nonspecific adsorption, which combines tricolor fluorescence labeling of target exosomes, tricolor super-resolution imaging, and pixel counting. The pixel counting method (named CFPP) is realized by MATLAB and can eliminate nonspecific binding sites at the single-pixel level, which has never been achieved before and could improve the reliability of detection to the maximum extent. Furthermore, as a proof-of-concept, profiling of exosomal membrane proteins and identification of breast cancer subpopulations are demonstrated. To enable multiplex breast cancer phenotypic analysis, three kinds of specific proteins are labeled to obtain the 3D phenotypic information on various exosomes. Breast cancer subtypes can be accurately identified according to the super-resolution images of some clinically relevant exosomal proteins. Worth mentioning is that, by selecting other biomarkers, classification of other cancers could also be realized using SR-TFC. Hence, the present work holds great potential in clinical cancer diagnosis and precision medicine.

Proteomics on human cerebral cavernous malformations reveals novel biomarkers in neurovascular dysfunction for the disease pathology

BackgroundCerebral cavernous malformation (CCM) is a disease associated with an elevated risk of focal neurological deficits, seizures, and hemorrhagic stroke. The disease has an inflammatory profile and improved knowledge of CCM pathology mechanisms and exploration of candidate biomarkers will enable new non-invasive treatments. MethodsWe analyzed protein signatures in human CCM tissue samples by using a highly specific and sensitive multiplexing technique, proximity extension assay. FindingsData analysis revealed CCM specific proteins involved in endothelial dysfunction/inflammation/activation, leukocyte infiltration/chemotaxis, hemostasis, extracellular matrix dysfunction, astrocyte and microglial cell activation. Biomarker expression profiles matched bleeding status, especially with higher levels of inflammatory markers and activated astrocytes in ruptured than non-ruptured samples, some of these biomarkers are secreted into blood or urine. Furthermore, analysis was also done in a spatially resolving manner by separating the lesion area from the surrounding brain tissue. Our spatial studies revealed that although appearing histologically normal, the CCM border areas were pathological when compared to control brain tissues. Moreover, the functional relevance of CD93, ICAM-1 and MMP9, markers related to endothelial cell activation and extracellular matrix was validated by a murine pre-clinical CCM model. InterpretationHere we present a novel strategy for proteomics analysis on human CCMs, offering a possibility for high-throughput protein screening acquiring data on the local environment in the brain. Our data presented here describe CCM relevant brain proteins and specifically those which are secreted can serve the need of circulating CCM biomarkers to predict cavernoma's risk of bleeding.

Affinity targeting of therapeutic proteins to the bone surface-local delivery of sclerostin-neutralizing antibody enhances efficacy.

Currently available biotherapeutics for the treatment of osteoporosis lack explicit mechanisms for bone localization, potentially limiting efficacy and inducing off-target toxicities. While various strategies have been explored for targeting the bone surface, critical aspects remain poorly understood, including the optimal affinity ligand, the role of binding avidity and circulation time, and, most importantly, whether or not this strategy can enhance the functional activity of clinically relevant protein therapeutics. To investigate, we generated fluorescent proteins (eg, mCherry) with site-specifically attached small molecule (bisphosphonate) or peptide (deca-aspartate, D10) affinity ligands. While both affinity ligands successfully anchored fluorescent protein to the bone surface, quantitative radiotracing revealed only modest femoral and vertebral accumulation and suggested a need for enhanced circulation time. To achieve this, we fused mCherry to the Fc fragment of human IgG1 and attached D10 peptides to each C-terminus. The mCherry-Fc-D10 demonstrated an ~80-fold increase in plasma exposure and marked increases in femoral and vertebral accumulation (13.6% ± 1.4% and 11.4% ± 1.3% of the injected dose/g [%ID/g] at 24h, respectively). To determine if bone surface targeting could enhance the efficacy of a clinically relevant therapeutic, we generated a bone-targeted sclerostin-neutralizing antibody, anti-sclerostin-D10. The targeted antibody demonstrated marked increases in bone accumulation and retention (20.9 ± 2.5% and 19.5 ± 2.5% ID/g in femur and vertebrae at 7days) and enhanced effects in a murine model of ovariectomy-induced bone loss (bone volume/total volume, connectivity density, and structure model index all increased [P< .001] vs untargeted anti-sclerostin). Collectively, our results indicate the importance of both bone affinity and circulation time in achieving robust targeting of therapeutic proteins to the bone surface and suggest that this approach may enable lower doses and/or longer dosing intervals without reduction in biotherapeutic efficacy. Future studies will be needed to determine the translational potential of this strategy and its potential impact on off-site toxicities.

Abstract 1783: Understanding lipogenesis in bladder cancer

Abstract Cancer cells are known to have different metabolic needs for growth and survival and by understanding these demands of individual cancers, targeted novel therapies may be developed. Lipogenesis and ß-oxidation serve to balance lipid levels in the cell. Lipogenesis is rate limited by a series of reactions that include enzymes fatty acid synthase (FASN) and acetyl-CoA carboxylase (ACC1) that facilitate lipid formation; whereas ß-oxidation is rate limited by the transporter carnitine palmitoyltransferase 1 (CPT1) and the enzyme thiolase that catalyzes the final step of the ß-oxidation cycle. Many cancers are dependent on lipogenesis, but the role of these factors in BCa is poorly defined. The Cancer Genome Atlas was used to assess levels of relevant metabolic proteins in normal and cancerous BCa tissue, and showed FASN levels were elevated in BCa tissue and were associated with worse survival. The purpose of this project is to better understand the metabolic demands of bladder cancer (BCa) cell lines, and we hypothesized lipogenesis is a major metabolic pathway for BCa cell growth. T24, HTB-5, and HTB-9 BCa cell lines were used to evaluate the role of metabolism. CPT1 was inhibited with etomoxir, thiolase with trimetazidine, FASN with cerulenin, and ACC1 with 5-(Tetradecyloxy)-2-furoic acid (TOFA). Cell viability was assessed at 48 and 72 hours with an enzymatic activity assay measuring ß-hexosaminidase activity as a surrogate for cell proliferation. The IC50 (concentration of a drug to reduce cell proliferation by 50%) was calculated from this data. At 48 hours, cerulenin-treated cells had an IC50 of 11.80 µM, 13.28 µM, 18.31 µM for HTB-9, T24, and HTB-5 respectively. At 48 hours, TOFA-treated cells had an IC50 of 64.25 µM, 59.29 µM, 32.03 µM for HTB-9, T24, and HTB-5 respectively. Cellular proliferation was not inhibited by CPT1 or trimetazidine at enzymatic IC50 concentrations consistent with their known levels of efficacy. When adding the lipid palmitate (20µM) to TOFA-treated cells, it appeared to mediate a rescue of cell proliferation almost to control, although statistical significance was not achieved. Crystal violet assays were performed to assess long-term cell viability. There was visible reduction in colony formation in a dose-dependent manner at 5 µM and 10 µM cerulenin in T24 cells at 14 days of culture, and there were similar results in HTB-9 cells treated with 20 µM and 40 µM TOFA at 17 days. In both cerulenin and TOFA-treated cells, there was elevated cleaved caspase-3 protein expression, indicating initiation of apoptosis. In conclusion, inhibition of lipogenesis in BCa cell lines reduces cell viability by reducing proliferation and inducing apoptosis whereas inhibitors of ß-oxidation did not produce the same effect at relevant concentrations. These data indicate lipogenesis is a key metabolic pathway for BCa cell growth. Citation Format: Juliann Leak, David Matye, Erika Abbott, Benjamin Woolbright, John A. Taylor. Understanding lipogenesis in bladder cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1783.

Abstract 7493: Real-time monitoring of CTC number, biomarker expression, and kinetics as prognostic and predictive markers in patients with GI malignancies

Abstract Background: Most of the utility in the clinic regarding liquid biopsies has been around circulating tumor DNA (ctDNA). ctDNA analysis provides valuable insight into mutational burden and therapeutic targets, but the speed and cost of analysis are prohibitive especially when it comes to serial testing. Using a cohort of patients with advanced or metastatic gastrointestinal (GI) cancers, we herein show the feasibility of using circulating tumor cell (CTC) enumeration, biomarker analysis, and kinetics as complementary to or as an alternative to ctDNA testing. Methods: Using the RareCyte platform, nucleated cells from blood were collected, spread on slides, stained, and imaged with CyteFinder® for CTC identification (CK/EpCAM+, CD45-) and quantification of biomarkers (PD-L1/HER2 or Ki67/EGFR). CTC enumeration (CLIA-accredited CTC test) and biomarker status for each patient were tracked over time and compared with ctDNA mutational analysis and tumor burden. Results: CTCs were detected in 60/70 samples (86%) and in 36/38 unique patients (95%). On average, more CTCs were detected in baseline samples from colorectal cancer patients compared to other subtypes (Table 1). Moreover, multiple patients showed pronounced changes in CTC number that correlated with treatment response, as well as strong correlation between CTC and tissue biomarker expression e.g. HER2. Rapid decline and/or CTC clearance was seen as early as a few days into starting effective systemic therapy. The average turnaround time for CTC testing was 5-7 days. Table 1. CTC values in initial baseline blood draw sample Gastrointestinal cancer subtype # of patients Average # of CTCs per 7.5mL blood Median # of CTCs per 7.5mL blood Minimum # of CTCs per 7.5mL blood Maximum # of CTCs per 7.5mL blood Colorectal carcinoma 27 84 3 0 1378 Cholangiocarcinoma 3 8 3 1 23 Pancreatic cancer 3 2 2 0 3 Hepatocellular carcinoma 2 4 5 0 10 Gallbladder cancer 1 6 6 3 8 Appendix cancer 1 2 2 1 3 Anal cancer 1 0 0 0 0 Conclusions: Our study emphasizes that real-time monitoring of CTCs is complementary to traditional tumor burden monitoring via imaging and ctDNA analysis. CTCs offer multiple unique advantages vs ctDNA including early response assessment within days of initiating therapy, a substantial decrease in cost of serial testing, and the ability to assess clinically relevant cell surface protein biomarkers e.g. HER2 and PD-L1. Citation Format: Erin G. Bayer, Brock M. Bartels, Rachel N. Ponting, Areeb Lutfi, Maaz K. Afghan, Arturo B. Ramirez, Pashtoon M. Kasi. Real-time monitoring of CTC number, biomarker expression, and kinetics as prognostic and predictive markers in patients with GI malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7493.