Liquid-Liquid Phase Separation in Oligomeric Peptide Solutions.

Oligomeric peptides exist widely in living organisms and play a role in a broad range of biological functions. We report the first observation of liquid-liquid phase separation (LLPS) in peptide solutions, in particular, solutions of peptides consisting of noncovalent oligomers. We determined the binary phase boundary of the oligomeric peptide solution and compared the result to the well-established phase diagram of globular proteins. We also provide simple theoretical interpretations of the similarities and differences between the phase diagrams of peptides and proteins. Finally, by tuning inter-oligomer interactions using a crowding agent, we demonstrated that LLPS is a universal phenomenon that can be observed under different solution conditions for a variety of peptides.

Transformation of oligomers of lipidated peptide induced by change in pH.

Oligomerization of lipidated peptides is of general scientific interest and is important in biomedical and pharmaceutical applications. We investigated the solution properties of a lipidated peptide, Liraglutide, which is one of the glucagon-like peptide-1 (GLP-1) agonists used for the treatment of type II diabetes. Liraglutide can serve as a model system for studying biophysical and biochemical properties of micelle-like self-assemblies of the lipidated peptides. Here, we report a transformation induced in Liraglutide oligomers by changing pH in the vicinity of pH 7. This fully reversible transformation is characterized by changes in the size and aggregation number of the oligomer and an associated change in the secondary structure of the constituent peptides. This transformation has quite slow kinetics: the equilibrium is reached in a course of several days. Interestingly, while the transformation is induced by changing pH, its kinetics is essentially independent of the final pH. We interpreted these findings using a model in which desorption of the monomer from the oligomer is the rate-limiting step in the transformation, and we determined the rate constant of the monomer desorption.

Urinary protein biomarkers in the early detection of lung cancer.

The early detection of lung cancer has the potential to greatly impact disease burden through the timely identification and treatment of affected individuals at a manageable stage of development. The insufficient specificity demonstrated by currently used screening and diagnostic techniques has led to intense investigation into biomarkers as diagnostic tools. Urine may represent a noninvasive alternative matrix for diagnostic biomarker development. We performed an analysis of 242 biomarkers in urines obtained from 83 patients with non-small cell lung carcinomas (NSCLC), 74 patients diagnosed with benign pulmonary conditions, and 77 healthy donors. A large number of significant alterations were observed between the NSCLC and control groups. A multivariate analysis identified a three-biomarker panel consisting of IGFBP-1, sIL-1Ra, CEACAM-1, which discriminated NSCLC from healthy controls with a sensitivity/specificity of 84/95 in an initial training set and 72/100 in an independent validation set. This panel performed well among multiple subtypes of NSCLC and early-stage disease but demonstrated only limited efficacy for the discrimination of NSCLC from benign controls and limited specificity for patients with several other cancers and tuberculosis. These findings demonstrate that urine biomarkers may provide screening and diagnostic properties which exceed those reported for serum biomarkers and approach a level necessary for further clinical development.

Aß dimers differ from monomers in structural propensity, aggregation paths and population of synaptotoxic assemblies.

Dimers of Aß (amyloid ß-protein) are believed to play an important role in Alzheimer's disease. In the absence of sufficient brain-derived dimers, we studied one of the only possible dimers that could be produced in vivo, [Aß](DiY) (dityrosine cross-linked Aß). For comparison, we used the Aß monomer and a design dimer cross-linked by replacement of Ser²6 with cystine [AßS26C]2. We showed that similar to monomers, unaggregated dimers lack appreciable structure and fail to alter long-term potentiation. Importantly, dimers exhibit subtly different structural propensities from monomers and each other, and can self-associate to form larger assemblies. Although [Aß](DiY) and [AßS26C]2 have distinct aggregation pathways, they both populate bioactive soluble assemblies for longer durations than Aß monomers. Our results indicate that the link between Aß dimers and Alzheimer's disease results from the ability of dimers to further assemble and form synaptotoxic assemblies that persist for long periods of time.

Prediagnostic serum biomarkers as early detection tools for pancreatic cancer in a large prospective cohort study.

BACKGROUND: The clinical management of pancreatic cancer is severely hampered by the absence of effective screening tools. METHODS: Sixty-seven biomarkers were evaluated in prediagnostic sera obtained from cases of pancreatic cancer enrolled in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO). RESULTS: The panel of CA 19-9, OPN, and OPG, identified in a prior retrospective study, was not effective. CA 19-9, CEA, NSE, bHCG, CEACAM1 and PRL were significantly altered in sera obtained from cases greater than 1 year prior to diagnosis. Levels of CA 19-9, CA 125, CEA, PRL, and IL-8 were negatively associated with time to diagnosis. A training/validation study using alternate halves of the PLCO set failed to identify a biomarker panel with significantly improved performance over CA 19-9 alone. When the entire PLCO set was used for training at a specificity (SP) of 95%, a panel of CA 19-9, CEA, and Cyfra 21-1 provided significantly elevated sensitivity (SN) levels of 32.4% and 29.7% in samples collected <1 and >1 year prior to diagnosis, respectively, compared to SN levels of 25.7% and 17.2% for CA 19-9 alone. CONCLUSIONS: Most biomarkers identified in previously conducted case/control studies are ineffective in prediagnostic samples, however several biomarkers were identified as significantly altered up to 35 months prior to diagnosis. Two newly derived biomarker combinations offered advantage over CA 19-9 alone in terms of SN, particularly in samples collected >1 year prior to diagnosis. However, the efficacy of biomarker-based tools remains limited at present. Several biomarkers demonstrated significant velocity related to time to diagnosis, an observation which may offer considerable potential for enhancements in early detection.

Phase transitions in human IgG solutions.

Protein condensations, such as crystallization, liquid-liquid phase separation, aggregation, and gelation, have been observed in concentrated antibody solutions under various solution conditions. While most IgG antibodies are quite soluble, a few outliers can undergo condensation under physiological conditions. Condensation of IgGs can cause serious consequences in some human diseases and in biopharmaceutical formulations. The phase transitions underlying protein condensations in concentrated IgG solutions is also of fundamental interest for the understanding of the phase behavior of non-spherical protein molecules. Due to the high solubility of generic IgGs, the phase behavior of IgG solutions has not yet been well studied. In this work, we present an experimental approach to study IgG solutions in which the phase transitions are hidden below the freezing point of the solution. Using this method, we have investigated liquid-liquid phase separation of six human myeloma IgGs and two recombinant pharmaceutical human IgGs. We have also studied the relation between crystallization and liquid-liquid phase separation of two human cryoglobulin IgGs. Our experimental results reveal several important features of the generic phase behavior of IgG solutions: (1) the shape of the coexistence curve is similar for all IgGs but quite different from that of quasi-spherical proteins; (2) all IgGs have critical points located at roughly the same protein concentration at ~100 mg/ml while their critical temperatures vary significantly; and (3) the liquid-liquid phase separation in IgG solutions is metastable with respect to crystallization. These features of phase behavior of IgG solutions reflect the fact that all IgGs have nearly identical molecular geometry but quite diverse net inter-protein interaction energies. This work provides a foundation for further experimental and theoretical studies of the phase behavior of generic IgGs as well as outliers with large propensity to condense. The investigation of the phase diagram of IgG solutions is of great importance for the understanding of immunoglobulin deposition diseases as well as for the understanding of the colloidal stability of IgG pharmaceutical formulations.

Serum protein profiles predict coronary artery disease in symptomatic patients referred for coronary angiography.

BACKGROUND: More than a million diagnostic cardiac catheterizations are performed annually in the US for evaluation of coronary artery anatomy and the presence of atherosclerosis. Nearly half of these patients have no significant coronary lesions or do not require mechanical or surgical revascularization. Consequently, the ability to rule out clinically significant coronary artery disease (CAD) using low cost, low risk tests of serum biomarkers in even a small percentage of patients with normal coronary arteries could be highly beneficial. METHODS: Serum from 359 symptomatic subjects referred for catheterization was interrogated for proteins involved in atherogenesis, atherosclerosis, and plaque vulnerability. Coronary angiography classified 150 patients without flow-limiting CAD who did not require percutaneous intervention (PCI) while 209 required coronary revascularization (stents, angioplasty, or coronary artery bypass graft surgery). Continuous variables were compared across the two patient groups for each analyte including calculation of false discovery rate (FDR ≤ 1%) and Q value (P value for statistical significance adjusted to ≤ 0.01). RESULTS: Significant differences were detected in circulating proteins from patients requiring revascularization including increased apolipoprotein B100 (APO-B100), C-reactive protein (CRP), fibrinogen, vascular cell adhesion molecule 1 (VCAM-1), myeloperoxidase (MPO), resistin, osteopontin, interleukin (IL)-1ß, IL-6, IL-10 and N-terminal fragment protein precursor brain natriuretic peptide (NT-pBNP) and decreased apolipoprotein A1 (APO-A1). Biomarker classification signatures comprising up to 5 analytes were identified using a tunable scoring function trained against 239 samples and validated with 120 additional samples. A total of 14 overlapping signatures classified patients without significant coronary disease (38% to 59% specificity) while maintaining 95% sensitivity for patients requiring revascularization. Osteopontin (14 times) and resistin (10 times) were most frequently represented among these diagnostic signatures. The most efficacious protein signature in validation studies comprised osteopontin (OPN), resistin, matrix metalloproteinase 7 (MMP7) and interferon γ (IFNγ) as a four-marker panel while the addition of either CRP or adiponectin (ACRP-30) yielded comparable results in five protein signatures. CONCLUSIONS: Proteins in the serum of CAD patients predominantly reflected (1) a positive acute phase, inflammatory response and (2) alterations in lipid metabolism, transport, peroxidation and accumulation. There were surprisingly few indicators of growth factor activation or extracellular matrix remodeling in the serum of CAD patients except for elevated OPN. These data suggest that many symptomatic patients without significant CAD could be identified by a targeted multiplex serum protein test without cardiac catheterization thereby eliminating exposure to ionizing radiation and decreasing the economic burden of angiographic testing for these patients.

Pathological crystallization of human immunoglobulins.

Condensation of Igs has been observed in pharmaceutical formulations and in vivo in cases of cryoglobulinemia. We report a study of monoclonal IgG cryoglobulins overexpressed by two patients with multiple myeloma. These cryoglobulins form crystals, and we measured their solubility lines. Depending on the supersaturation, we observed a variety of condensate morphologies consistent with those reported in clinical investigations. Remarkably, the crystallization can occur at quite low concentrations. This suggests that, even within the regular immune response to infections, cryoprecipitation of Ig can be possible.

Lysine-specific molecular tweezers are broad-spectrum inhibitors of assembly and toxicity of amyloid proteins.

Amyloidoses are diseases characterized by abnormal protein folding and self-assembly, for which no cure is available. Inhibition or modulation of abnormal protein self-assembly, therefore, is an attractive strategy for prevention and treatment of amyloidoses. We examined Lys-specific molecular tweezers and discovered a lead compound termed CLR01, which is capable of inhibiting the aggregation and toxicity of multiple amyloidogenic proteins by binding to Lys residues and disrupting hydrophobic and electrostatic interactions important for nucleation, oligomerization, and fibril elongation. Importantly, CLR01 shows no toxicity at concentrations substantially higher than those needed for inhibition. We used amyloid ß-protein (Aß) to further explore the binding site(s) of CLR01 and the impact of its binding on the assembly process. Mass spectrometry and solution-state NMR demonstrated binding of CLR01 to the Lys residues in Aß at the earliest stages of assembly. The resulting complexes were indistinguishable in size and morphology from Aß oligomers but were nontoxic and were not recognized by the oligomer-specific antibody A11. Thus, CLR01 binds already at the monomer stage and modulates the assembly reaction into formation of nontoxic structures. The data suggest that molecular tweezers are unique, process-specific inhibitors of aberrant protein aggregation and toxicity, which hold promise for developing disease-modifying therapy for amyloidoses.

A framework for evaluating biomarkers for early detection: validation of biomarker panels for ovarian cancer.

A panel of biomarkers may improve predictive performance over individual markers. Although many biomarker panels have been described for ovarian cancer, few studies used prediagnostic samples to assess the potential of the panels for early detection. We conducted a multisite systematic evaluation of biomarker panels using prediagnostic serum samples from the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) screening trial. Using a nested case-control design, levels of 28 biomarkers were measured laboratory-blinded in 118 serum samples obtained before cancer diagnosis and 951 serum samples from matched controls. Five predictive models, each containing 6 to 8 biomarkers, were evaluated according to a predetermined analysis plan. Three sequential analyses were conducted: blinded validation of previously established models (step 1); simultaneous split-sample discovery and validation of models (step 2); and exploratory discovery of new models (step 3). Sensitivity, specificity, sensitivity at 98% specificity, and AUC were computed for the models and CA125 alone among 67 cases diagnosed within one year of blood draw and 476 matched controls. In step 1, one model showed comparable performance to CA125, with sensitivity, specificity, and AUC at 69.2%, 96.6%, and 0.892, respectively. Remaining models had poorer performance than CA125 alone. In step 2, we observed a similar pattern. In step 3, a model derived from all 28 markers failed to show improvement over CA125. Thus, biomarker panels discovered in diagnostic samples may not validate in prediagnostic samples; utilizing prediagnostic samples for discovery may be helpful in developing validated early detection panels.

Serum biomarker profiles as diagnostic tools in lung cancer.

BACKGROUND: Computed tomography (CT) scanning has emerged as an effective means of early detection for lung cancer. Despite marked improvement over earlier methodologies, the low level of specificity demonstrated by CT scanning has limited its clinical implementation as a screening tool. A minimally-invasive biomarker-based test that could further characterize CT-positive patients based on risk of malignancy would greatly enhance its clinical efficacy. METHODS: We performed an analysis of 81 serum proteins in 92 patients diagnosed with lung cancer and 172 CT-screened control individuals. We utilize a series of bioinformatics algorithms including Metropolis-Monte Carlo, artificial neural networks, Naïve Bayes, and additive logistic regression to identify multimarker panels capable of discriminating cases from controls with high levels of sensitivity and specificity in distinct training and independent validation sets. RESULTS: A three-biomarker panel comprised of MIF, prolactin, and thrombospondin identified using the Metropolis-Monte Carlo algorithm provided the best classification with a %Sensitivity/Specificity/Accuracy of 74/90/86 in the training set and 70/93/82 in the validation set. This panel was effective in the classification of control individuals demonstrating suspicious pulmonary nodules and stage I lung cancer patients. CONCLUSIONS: The selected serum biomarker panel demonstrated a high diagnostic utility in the current study and performance characteristics which compare favorably with previous reports. Further advancements may lead to the development of a diagnostic tool useful as an adjunct to CT-scanning.

Phase behavior of mixtures of human lens proteins Gamma D and Beta B1.

We have experimentally determined the coexistence surface characterizing the phase behavior of gammaD-betaB1-water ternary solutions. The coexistence surface fully describes the solution conditions, i.e., temperature, protein concentration, and protein composition, at which liquid-liquid phase separation occurs in a ternary solution. We have observed a significant demixing of gammaD and betaB1 i.e., large difference of composition in the two coexisting phases. This demixing suggests that the energy of the gammaD-betaB1 attractive interaction is significantly smaller than the energy of the gammaD-gammaD attractive interaction. We also observed the lowering of the phase separation temperature upon increasing of the fraction of betaB1 in solution. We provide a theoretical analysis of our experimental data, which enables a quantitative description of our principal experimental findings. In this way, we have evaluated the magnitude and temperature dependence of the relevant interprotein interaction energies. Our findings provide insight into the factors essential for maintaining lens proteins in a single homogeneous phase, thereby enabling lens transparency.

Development of a multimarker assay for early detection of ovarian cancer.

PURPOSE: Early detection of ovarian cancer has great promise to improve clinical outcome. PATIENTS AND METHODS: Ninety-six serum biomarkers were analyzed in sera from healthy women and from patients with ovarian cancer, benign pelvic tumors, and breast, colorectal, and lung cancers, using multiplex xMAP bead-based immunoassays. A Metropolis algorithm with Monte Carlo simulation (MMC) was used for analysis of the data. RESULTS: A training set, including sera from 139 patients with early-stage ovarian cancer, 149 patients with late-stage ovarian cancer, and 1,102 healthy women, was analyzed with MMC algorithm and cross validation to identify an optimal biomarker panel discriminating early-stage cancer from healthy controls. The four-biomarker panel providing the highest diagnostic power of 86% sensitivity (SN) for early-stage and 93% SN for late-stage ovarian cancer at 98% specificity (SP) was comprised of CA-125, HE4, CEA, and VCAM-1. This model was applied to an independent blinded validation set consisting of sera from 44 patients with early-stage ovarian cancer, 124 patients with late-stage ovarian cancer, and 929 healthy women, providing unbiased estimates of 86% SN for stage I and II and 95% SN for stage III and IV disease at 98% SP. This panel was selective for ovarian cancer showing SN of 33% for benign pelvic disease, SN of 6% for breast cancer, SN of 0% for colorectal cancer, and SN of 36% for lung cancer. CONCLUSION: A panel of CA-125, HE4, CEA, and VCAM-1, after additional validation, could serve as an initial stage in a screening strategy for epithelial ovarian cancer.

Serum biomarker panels for the discrimination of benign from malignant cases in patients with an adnexal mass.

OBJECTIVES: The diagnosis of an adnexal mass is a prevalent issue among women in the United States, although current methods of identifying those at high risk of malignancy remain insufficient. Ineffective triage of women with malignant masses is associated with delayed or inappropriate treatment and a negative effect on disease outcome. METHODS: We performed an evaluation of 65 ovarian cancer-related biomarkers in the circulation of women diagnosed with an adnexal mass. Our subject group consisted of women diagnosed with benign masses and early- and late-stage ovarian cancer. RESULTS: More than half of the biomarkers tested were found to differ significantly between benign and malignant cases. As individual markers, HE4 and CA-125 provided the greatest level of discrimination between benign and malignant cases, and the combination of these two biomarkers provided a higher level of discriminatory power than either marker considered alone. Multivariate statistical analysis identified several multimarker panels that could discriminate early-stage, late-stage, and combined ovarian cancers from benign cases with similar or slightly improved SN/SP levels to the CA-125/HE4 combination; however, these larger panels could not outperform the 2-biomarker panel in an independent validation set. We also identified a 3-biomarker panel with particular utility in premenopausal women. CONCLUSIONS: Our findings serve to advance the development of blood-based screening methods for the discrimination of benign and malignant ovarian masses by confirming and expanding upon the superior utility of the CA-125/HE4 combination.

Despite its role in assembly, methionine 35 is not necessary for amyloid beta-protein toxicity.

An important component of the pathologic process underlying Alzheimer's disease is oxidative stress. Met(35) in amyloid beta-protein (A beta) is prone to participating in redox reactions promoting oxidative stress, and therefore is believed to contribute significantly A beta-induced toxicity. Thus, substitution of Met(35) by residues that do not participate in redox chemistry would be expected to decrease A beta toxicity. Indeed, substitution of Met(35) by norleucine (Nle) was reported to reduce A beta toxicity. Surprisingly, however, substitution of Met(35) by Val was reported to increase toxicity. A beta toxicity is known to be strongly related to its self-assembly. However, neither substitution is predicted to affect A beta assembly substantially. Thus, the effect of these substitutions on toxicity is difficult to explain. We revisited this issue and compared A beta 40 and A beta 42 with analogs containing Met(35)-->Nle or Met(35)-->Val substitutions using multiple biophysical and toxicity assays. We found that substitution of Met(35) by Nle or Val had moderate effects on A beta assembly. Surprisingly, despite these effects, neither substitution changed A beta neurotoxicity significantly in three different assays. These results suggest that the presence of Met(35) in A beta is not important for A beta toxicity, challenging to the prevailing paradigm, which suggests that redox reactions involving Met(35) contribute substantially to A beta-induced toxicity.

C-terminal peptides coassemble into Abeta42 oligomers and protect neurons against Abeta42-induced neurotoxicity.

Alzheimer's disease (AD) is an age-related disorder that threatens to become an epidemic as the world population ages. Neurotoxic oligomers of Abeta42 are believed to be the main cause of AD; therefore, disruption of Abeta oligomerization is a promising approach for developing therapeutics for AD. Formation of Abeta42 oligomers is mediated by intermolecular interactions in which the C terminus plays a central role. We hypothesized that peptides derived from the C terminus of Abeta42 may get incorporated into oligomers of Abeta42, disrupt their structure, and thereby inhibit their toxicity. We tested this hypothesis using Abeta fragments with the general formula Abeta(x-42) (x = 28-39). A cell viability screen identified Abeta(31-42) as the most potent inhibitor. In addition, the shortest peptide, Abeta(39-42), also had high activity. Both Abeta(31-42) and Abeta(39-42) inhibited Abeta-induced cell death and rescued disruption of synaptic activity by Abeta42 oligomers at micromolar concentrations. Biophysical characterization indicated that the action of these peptides likely involved stabilization of Abeta42 in nontoxic oligomers. Computer simulations suggested a mechanism by which the fragments coassembled with Abeta42 to form heterooligomers. Thus, Abeta(31-42) and Abeta(39-42) are leads for obtaining mechanism-based drugs for treatment of AD using a systematic structure-activity approach.

Development of multimarker panel for early detection of endometrial cancer. High diagnostic power of prolactin.

OBJECTIVE: Endometrial carcinoma is the most common gynecologic cancer. Although the prognosis for endometrial cancer is generally good, cancers identified at late stages are associated with high levels of morbidity and mortality. Therefore, prevention and early detection may further reduce the burden of this challenging disease. METHODS: A panel of 64 serum biomarkers was analyzed in sera of patients with stages I-III endometrial cancer and age-matched healthy women, utilizing a multiplex xMAP bead-based immunoassay. For multivariate analysis, four different statistical classification methods were used: logistic regression (LR), separating hyperplane (SHP), k nearest neighbors (KNN), and classification tree (CART). For each of these classifiers, a diagnostic model was created based on the cross-validation set consisting of sera from 115 patients with endometrial cancer and 135 healthy women. RESULTS: Our data have demonstrated that patients with endometrial cancer have significantly different expression patterns of several serum biomarkers as compared to healthy controls. Prolactin was the strongest discriminative biomarker for endometrial cancer providing 98.3% sensitivity and 98.0% specificity alone. Our results have revealed that serum concentration of cancer antigens, including CA 125, CA 15-3, and CEA are higher in patients with Stage III endometrial cancer as compared to those with Stage I. In addition, we have shown that the expression of CA 125, AFP, and ACTH is elevated in women with tumor grade 3 vs. grade 1. Furthermore, five-biomarker panel (prolactin, GH, Eotaxin, E-selectin, and TSH) identified in this study was able to discriminate endometrial cancer from ovarian and breast cancers with high sensitivity and specificity. CONCLUSIONS: The ability of prolactin to accurately discriminate between cancer and control groups indicates that this biomarker could potentially be used for development of blood-based test for the early detection of endometrial cancer in high-risk populations. Combining the information on multiple serum markers using flexible statistical methods allows for achieving high cancer selectivity.