Antibody Populations Research Articles

Cloud Model-Based Artificial Immune Network for Complex Optimization Problem.

This paper proposes an artificial immune network based on cloud model (AINet-CM) for complex function optimization problems. Three key immune operators—cloning, mutation, and suppression—are redesigned with the help of the cloud model. To be specific, an increasing half cloud-based cloning operator is used to adjust the dynamic clone multipliers of antibodies, an asymmetrical cloud-based mutation operator is used to control the adaptive evolution of antibodies, and a normal similarity cloud-based suppressor is used to keep the diversity of the antibody population. To quicken the searching convergence, a dynamic searching step length strategy is adopted. For comparative study, a series of numerical simulations are arranged between AINet-CM and the other three artificial immune systems, that is, opt-aiNet, IA-AIS, and AAIS-2S. Furthermore, two industrial applications—finite impulse response (FIR) filter design and proportional-integral-differential (PID) controller tuning—are investigated and the results demonstrate the potential searching capability and practical value of the proposed AINet-CM algorithm.

IgG4 autoantibodies against muscle-specific kinase undergo Fab-arm exchange in myasthenia gravis patients

Autoimmunity mediated by IgG4 subclass autoantibodies is an expanding field of research. Due to their structural characteristics a key feature of IgG4 antibodies is the ability to exchange Fab-arms with other, unrelated, IgG4 molecules, making the IgG4 molecule potentially monovalent for the specific antigen. However, whether those disease-associated antigen-specific IgG4 are mono- or divalent for their antigens is unknown. Myasthenia gravis (MG) with antibodies to muscle specific kinase (MuSK-MG) is a well-recognized disease in which the predominant pathogenic IgG4 antibody binds to extracellular epitopes on MuSK at the neuromuscular junction; this inhibits a pathway that clusters the acetylcholine (neurotransmitter) receptors and leads to failure of neuromuscular transmission.In vitro Fab-arm exchange-inducing conditions were applied to MuSK antibodies in sera, purified IgG4 and IgG1-3 sub-fractions. Solid-phase cross-linking assays were established to determine the extent of pre-existing and inducible Fab-arm exchange. Functional effects of the resulting populations of IgG4 antibodies were determined by measuring inhibition of agrin-induced AChR clustering in C2C12 cells. To confirm the results, κ/κ, λ/λ and hybrid κ/λ IgG4s were isolated and tested for MuSK antibodies.At least fifty percent of patients had IgG4, but not IgG1-3, MuSK antibodies that could undergo Fab-arm exchange in vitro under reducing conditions. Also MuSK antibodies were found in vivo that were divalent (monospecific for MuSK). Fab-arm exchange with normal human IgG4 did not prevent the inhibitory effect of serum derived MuSK antibodies on AChR clustering in C2C12 mouse myotubes. The results suggest that a considerable proportion of MuSK IgG4 could already be Fab-arm exchanged in vivo. This was confirmed by isolating endogenous IgG4 MuSK antibodies containing both κ and λ light chains, i.e. hybrid IgG4 molecules. These new findings demonstrate that Fab-arm exchanged antibodies are pathogenic.

Characterization of Factor VIII Immune Complexes By Analytical Ultracentrifugation

Inhibitory polyclonal IgG antibodies (inhibitors) to factor VIII (fVIII) represent the most significant complication in patients with congenital hemophilia A. FVIII also is the most frequently targeted coagulation factor in autoimmunity. Antibodies recognizing epitopes in the fVIII A2 and C2 domains are present in most inhibitor patients. In the current study, we characterized the hydrodynamic properties of fVIII immune complexes formed by murine anti-human anti-A2 and anti-C2 fVIII monoclonal antibodies (MAbs) 4A4 and 3D12. 4A4 is representative of the most frequently identified group of anti-A2 MAbs identified in the murine hemophilia A immune response to human fVIII. 3D12 is a classical anti-C2 MAb that inhibits the binding of fVIII to von Willebrand factor (VWF) and phospholipid membranes. Velocity sedimentation of immune complexes formed by varying ratios of 4A4 and 3D12 with a high-expression fVIII construct designated ET3 was conducted at 55,000g and 20 °C by measuring protein absorbance at 280 nm in a Beckman XL-I analytical ultracentrifuge. Sedimentation coefficient (s20,w) distributions of fVIII, MAbs and immune complexes were determined using SEDFIT. The sedimentation coefficients of fVIII in the absence of MAbs and of the MAbs in the absence of fVIII were 7.7 S and 6.4 S, respectively. Under conditions of excess MAb (equimolar 4A4 and 3D12 each in five-fold molar excess over fVIII), a 10.3 S immune complex was observed, representing singly-ligated MAbs (Figure, red trace). Under conditions of excess fVIII (fVIII in four-fold molar excess over equimolar 4A4 and 3D12), 11.9 S doubly-ligated MAb complexes were observed (Figure, green trace). A mixture containing equimolar fVIII and 4A4/3D12 MAb binding sites produced a dominant 14.0 S species and a minor 18.8 S species, indicative of cross-linked 3D12-fVIII-4A4 immune complexes (Figure, blue trace). Indefinite association or immunoprecipitation was not observed. These results demonstrate that a biclonal, bivalent anti-fVIII antibody population can form higher-order immune complexes. These complexes may be a driving factor in the immune response to fVIII by promoting B cell activation and/or antigen presentation. Additionally, these results indicate that analytical ultracentrifugation is a useful tool to characterize fVIII immune complexes. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

Estimating the burden of rubella virus infection and congenital rubella syndrome through a rubella immunity assessment among pregnant women in the Democratic Republic of the Congo: Potential impact on vaccination policy

BackgroundRubella-containing vaccines (RCV) are not yet part of the Democratic Republic of the Congo’s (DRC) vaccination program; however RCV introduction is planned before 2020. Because documentation of DRC’s historical burden of rubella virus infection and congenital rubella syndrome (CRS) has been minimal, estimates of the burden of rubella virus infection and of CRS would help inform the country’s strategy for RCV introduction. MethodsA rubella antibody seroprevalence assessment was conducted using serum collected during 2008–2009 from 1605 pregnant women aged 15–46years attending 7 antenatal care sites in 3 of DRC’s provinces. Estimates of age- and site-specific rubella antibody seroprevalence, population, and fertility rates were used in catalytic models to estimate the incidence of CRS per 100,000 live births and the number of CRS cases born in 2013 in DRC. ResultsOverall 84% (95% CI 82, 86) of the women tested were estimated to be rubella antibody seropositive. The association between age and estimated antibody seroprevalence, adjusting for study site, was not significant (p=0.10). Differences in overall estimated seroprevalence by study site were observed indicating variation by geographical area (p⩽0.03 for all). Estimated seroprevalence was similar for women declaring residence in urban (84%) versus rural (83%) settings (p=0.67). In 2013 for DRC nationally, the estimated incidence of CRS was 69/100,000 live births (95% CI 0, 186), corresponding to 2886 infants (95% CI 342, 6395) born with CRS. ConclusionsIn the 3 provinces, rubella virus transmission is endemic, and most viral exposure and seroconversion occurs before age 15years. However, approximately 10–20% of the women were susceptible to rubella virus infection and thus at risk for having an infant with CRS. This analysis can guide plans for introduction of RCV in DRC. Per World Health Organization recommendations, introduction of RCV should be accompanied by a campaign targeting all children 9months to 14years of age as well as vaccination of women of child bearing age through routine services.

Flexible job shop scheduling based on improved hybrid immune algorithm

An improved hybrid immune algorithm (HIA) with parallelism and adaptability is proposed to solve the flexible job shop scheduling problem. In order to represent the actual characteristics of the problem’s solution, in the algorithm the author uses a hybrid encoding method of piece—machine. Firstly, adaptive crossover operator and mutation operator are designed based on the encoding antibody method and the affinity calculation based on group matching is adopted. Secondly, the algorithm uses adaptive crossover probability and mutation probability in the operation of immune for the antibody population. The new antibody after crossing can automatically meet the constraints of the problem. Next, a hybrid algorithm based on simulated annealing algorithm is introduced to avoid the local optimization in this paper. Finally, it is demonstrated the effectiveness of the proposed algorithm through the simulation and comparison with some existing algorithms.

Immune clonal algorithm based on directed evolution for multi-objective capacitated arc routing problem

The capacitated arc routing problem is playing an increasingly important role in our society, engendering increasing attention from the research community. Among the various models, multi-objective capacitated arc routing problem comes much closer to real-world problems. Therefore, this paper proposes an immune clonal algorithm based on directed evolution to solve this problem. Firstly, the proposed algorithm adopts the framework of the immune clonal algorithm and expands the scale of the initial antibody population in the initialization process to increase the diversity of the antibodies. Secondly, the proposed algorithm is combined with a decomposition strategy in the operations of the immune gene. Antibodies are classified to perform the immune genetic operations, which helps the antibody populations to share the neighborhood information in a timely manner. Thirdly, the proposed algorithm applies a novel kind of comparison operator to build the total population, which helps it to evolve in the direction of a better population and improves the quality of the antibodies. Experimental results suggest that the proposed algorithm can generate better non-dominant solutions than several compared state-of-the-art algorithms, especially for large-scale sets.

Transglutaminase 2-specific coeliac disease autoantibodies induce morphological changes and signs of inflammation in the small-bowel mucosa of mice

Coeliac disease is hallmarked by an abnormal immune reaction against ingested wheat-, rye- and barley-derived gluten and the presence of transglutaminase 2 (TG2)-targeted autoantibodies. The small-bowel mucosal damage characteristic of the disorder develops gradually from normal villus morphology to inflammation and finally to villus atrophy with crypt hyperplasia. Patients with early-stage coeliac disease have TG2-autoantibodies present in serum and small-intestinal mucosa and they may already suffer from abdominal symptoms before the development of villus atrophy. Previously, we have shown that intraperitoneal injections of coeliac patient-derived sera or purified immunoglobulin fraction into mice induce a condition mimicking early-stage coeliac disease. In the current study, we sought to establish whether recombinantly produced patient-derived TG2-targeted autoantibodies are by themselves sufficient for the development of such an experimentally induced condition in immune-compromised mice. Interestingly, mice injected with coeliac patient TG2-antibodies had altered small-intestinal mucosal morphology, increased lamina propria cellular infiltration and disease-specific autoantibodies deposited in the small bowel, but did not evince clinical features of the disease. Thus, coeliac patient-derived TG2-specific autoantibodies seem to be sufficient for the induction of subtle small-bowel mucosal alterations in mice, but the development of clinical features probably requires additional factors such as other antibody populations relevant in coeliac disease.

The risk of toxoplasmic encephalitis in HIV-infected patients with different serological profiles of antitoxoplasma antibodies

Aim of the work. To study the prevalence of serological signs of toxoplasmatic invasion among the HIV-positive population, structure and dynamics of antitoxoplasmatic antibodies and the risk of development of toxoplasmatic encephalitic.Methods of research. 926 HIV-positive persons were under three years observation: cohort of seropositives of toxoplasmosic included 531 persons and the cohort of seronegative ones – 395. Annually there were determined anti -Toxoplasma IgM, IgG and the frequency of toxoplasmosis of encephalitis in cohorts, the absolute and relative risk, the additional part of population risk were calculated.Results. The prevalence of seropositivity of toxoplasmosis in HIV-infected patients in Ivano-Frankivsk region is 57,25±1,6 %, that caused 86.84 % of additional part of population risk of toxoplasmatic encephalitis. The number of men (58,55 %) was more than the one of women (41,45 %). In seropositive cohort 4,16 % had toxoplasmatic encephalitis, that is 6 times more that in the cohort of seronegatives. The highest risk of morbidity was in the group of patients with seroreversion (21,43 %), that is 5 times more than in the whole cohort of seropositive persons (relative risk = 4,74) and 28 times more than in seronegative one (relative risk = 28.20). Seroreversion was also attended with the raised risk of toxoplasmatic encephalitis comparing with seronegative cohort (relative risk = 11,45).Conclusion: the highest risk of toxoplasmatic encephalitis was in patients with seroreversion of antibodies to toxoplasmas

Host-Pathogen Coevolution and the Emergence of Broadly Neutralizing Antibodies in Chronic Infections.

The vertebrate adaptive immune system provides a flexible and diverse set of molecules to neutralize pathogens. Yet, viruses such as HIV can cause chronic infections by evolving as quickly as the adaptive immune system, forming an evolutionary arms race. Here we introduce a mathematical framework to study the coevolutionary dynamics between antibodies and antigens within a host. We focus on changes in the binding interactions between the antibody and antigen populations, which result from the underlying stochastic evolution of genotype frequencies driven by mutation, selection, and drift. We identify the critical viral and immune parameters that determine the distribution of antibody-antigen binding affinities. We also identify definitive signatures of coevolution that measure the reciprocal response between antibodies and viruses, and we introduce experimentally measurable quantities that quantify the extent of adaptation during continual coevolution of the two opposing populations. Using this analytical framework, we infer rates of viral and immune adaptation based on time-shifted neutralization assays in two HIV-infected patients. Finally, we analyze competition between clonal lineages of antibodies and characterize the fate of a given lineage in terms of the state of the antibody and viral populations. In particular, we derive the conditions that favor the emergence of broadly neutralizing antibodies, which may have relevance to vaccine design against HIV.

An improved immune system-inspired routing recovery scheme for energy harvesting wireless sensor networks

To address problems of fault-tolerant routing recovery and routings’ quality maintenance in energy harvesting wireless sensor networks (EH-WSNs), we proposed an improved immune system-inspired routing recovery algorithm (ISRRA) to provide an intelligent scheme for EH-WSNs. The ISRRA could maintain k best disjoint path from each source node to the sink. It investigates the optimal alternative strategies for the faulty routing and recovers the problems with four units (the surveillance unit, the response unit, the learn unit and the memory unit) as imitating the immune system, especially for the same fault routing happened again. Moreover, during the routing recovery process, ISRRA also check other candidate routings to decide whether to update the backup routings, which is used to maintain routings’ quality and also greatly improve the fault-tolerant ability of EH-WSNs. In order to overcome the limited diversity of antibody population and prematurity of clone selection algorithm used in the learn unit, an improved clone and mutation scheme inspired by the regulation laws of hormone in endocrine system is proposed in ISRRA. Finally, to verify the effectiveness of the proposed ISRRA, a series of simulation experiments are conducted and compared with two other routing recovery schemes. The simulation results have verified that the ISRRA-based protocol can provide reliable communication with effective routing recovery scheme and highlight the better performance of the proposed approach than that of similar techniques.

A Self-adaptive Multipeak Artificial Immune Genetic Algorithm

Genetic algorithm is a global probability search algorithm developed by simulating the biological natural selection and genetic evolution mechanism and it has excellent global search ability, however, in practical applications, premature convergence occurs easily in the genetic algorithm. This paper proposes an self-adaptive multi-peak immune genetic algorithm (SMIGA) and this algorithm integrates immunity thought in the biology immune system into the evolutionary process of genetic algorithm, uses self-adaptive dynamic vaccination and provides a downtime criterion, the selection strategy of immune vaccine and the construction method of immune operators so as to promote the population develop towards the optimization trend and suppress the degeneracy phenomenon in the optimization by using the feature information in a selective and purposive manner. The simulation experiment shows that the method of this paper can better solve the optimization problem of multi-peak functions, realize global optimum search, overcome the prematurity problem of the antibody population and improve the effectiveness and robustness of optimization.

Chemical Tools To Monitor and Manipulate Adaptive Immune Responses.

Methods to monitor and manipulate the immune system are of enormous clinical interest. For example, the development of vaccines represents one of the earliest and greatest accomplishments of the biomedical research enterprise. More recently, drugs capable of "reawakening" the immune system to cancer have generated enormous excitement. But, much remains to be done. All drugs available today that manipulate the immune system cannot distinguish between "good" and "bad" immune responses and thus drive general and systemic immune suppression or activation. Indeed, with the notable exception of vaccines, our ability to monitor and manipulate antigen-specific immune responses is in its infancy. Achieving this finer level of control would be highly desirable. For example, it might allow the pharmacological editing of pathogenic immune responses without restricting the ability of the immune system to defend against infection. On the diagnostic side, a method to comprehensively monitor the circulating, antigen-specific antibody population could provide a treasure trove of clinically useful biomarkers, since many diseases expose the immune system to characteristic molecules that are deemed foreign and elicit the production of antibodies against them. This Perspective will discuss the state-of-the-art of this area with a focus on what we consider seminal opportunities for the chemistry community to contribute to this important field.

Individual Restriction Of Fine Specificity Variability In Anti-GM1 IgG Antibodies Associated With Guillain-Barré Syndrome.

Elevated titers of serum antibodies against GM1 ganglioside are associated with a variety of autoimmune neuropathies. Much evidence indicates these autoantibodies play a primary role in the disease processes, but the mechanism for their appearance is unclear. We studied the fine specificity of anti-GM1 antibodies of the IgG isotype present in sera from patients with Guillain-Barré syndrome (GBS), using thin-layer chromatogram-immunostaining of GM1, asialo-GM1 (GA1), GD1b and GM1-derivatives with small modifications on the oligosaccharide moiety. We were able to distinguish populations of antibodies with different fine specificity. Remarkably, individual patients presented only one or two of them, and different patients had different populations. This restriction in the variability of antibody populations suggests that the appearance of the anti-GM1 antibodies is a random process involving restricted populations of lymphocytes. With the origin of disease-associated anti-GM1 antibodies as a context, this finding could provide explanation for the “host susceptibility factor” observed in GBS following enteritis with GM1 oligosaccharide-carrying strains of Campylobacter jejuni.

B-cell memory against factor VIII

The development of persistent neutralizing antibodies against factor VIII (FVIII) is the most severe complication in the treatment of congenital hemophilia A patients with FVIII replacement therapies. Recently, we presented data which indicate that neutralizing antibodies are high-affinity antibodies which are mostly of the IgG1 and IgG4 subclasses. However, there are also FVIII-specific antibodies of low to moderate affinity which are found in some patients without neutralizing antibodies and in some healthy individuals. The underlying immune mechanisms which regulate the development of these different populations of FVIII-specific antibodies are poorly understood.In this review, we discuss potential mechanisms for the development of low-affinity and high-affinity antibodies. In particular, we discuss the role of memory B cells which are essential in maintaining long-lasting antibody responses and in driving the rapid anamnestic antibody response after re-exposure to the same antigen. We also present available data on the potential role of FVIII-specific memory B cells in the maintenance of neutralizing antibodies against FVIII.

Using of the notion «Pareto set» for development of the forecasting models based on the modified clonal selection algorithm

The algorithm which carries out the multiobjective optimization at realization of the modified clonal selection algorithm based on the use of the notion «Pareto set» when the parental population of antibodies should be created for development of the forecasting models on the base of the strictly binary trees has been offered. Two indicators of quality of the forecasting model – the affinity indicator based on the calculation of the average forecasting error rate, and the tendencies discrepancy indicator – are applied in the role of the objective functions. The results of experimental studies which confirm the efficiency of application of the offered algorithm have been given.

Development of single chain variable fragment (scFv) antibodies against surface proteins of ‘Ca. Liberibacter asiaticus’

‘Candidatus Liberibacter asiaticus’ is the causal agent of citrus huanglongbing, the most serious disease of citrus worldwide. We have developed and applied immunization and affinity screening methods to develop a primary library of recombinant single chain variable fragment (scFv) antibodies in an M13 vector, pKM19. The antibody population is enriched for antibodies that bind antigens of ‘Ca. Liberibacter asiaticus’. The primary library has more than 107 unique antibodies and the genes that encode them. We have screened this library for antibodies that bind to specifically-chosen proteins that are present on the surface of ‘Ca. Liberibacter asiaticus’. These proteins were used as targets for affinity-based selection of scFvs that bind to the major outer membrane protein, OmpA; the polysaccharide capsule protein KpsF; a protein component of the type IV pilus (CapF); and, two flagellar proteins FlhA and FlgI. These scFvs have been used in ELISA and dot blot assays against purified protein antigens and ‘Ca. Liberibacter asiaticus’ infected plant extracts. We have also recloned many of these scFvs into a plasmid expression vector designed for the production of scFvs. Screening of these scFvs was more efficient when phage-bound, rather than soluble scFvs, were used. We have demonstrated a technology to produce antibodies at will and against any protein target encoded by ‘Ca. Liberibacter asiaticus’. Applications could include advanced diagnostic methods for huanglongbing and the development of immune labeling reagents for in planta applications.

Frequency and Epitope Specificity of Anti-Factor VIII C1 Domain Antibodies in Acquired and Hereditary Hemophilia Inhibitor Patient Plasma

Acquired hemophilia A (AHA) is a rare autoimmune disease caused by development of inhibitory anti-factor VIII (fVIII) antibodies (also called inhibitors) resulting in severe hemorrhages. In addition, inhibitor development is the most serious complication of today's replacement therapy in patients with hereditary X-linked hemophilia A (HA) disorder. Earlier studies showed that antibodies in AHA and HA inhibitor plasmas are both primarily directed to the A2 and C2 domains suggesting that these two domains are the predominant immunogenic fVIII regions (Fulcher et al, 1987; Prescott et al, 1997; Lollar, 2004). However, the C1 domain also makes a major contribution to the humoral anti-fVIII immune response in hemophilic mice (Healey et al, 2007), which motivated us to analyze the frequency and epitope specificity of anti-C1 antibodies in AHA and HA inhibitor patient plasma.The frequency of domain-specific antibodies were studied by antibody binding to human A2, C1 and C2 domains presented as (i) single human domain (SHD) human/porcine hybrid fVIII and (ii) HSA-fusion proteins. While similar frequencies of A2- and C2-specific antibodies were observed for both applied mapping strategies the use of isolated C1 domain resulted in much higher detection level of anti-C1 antibodies compared to the use of the human C1 domain human/porcine hybrid fVIII protein. As homologue-scanning mutagenesis relies on differences among human and porcine sequences these results suggest the presence of a large number of cross-reactive anti-C1 antibodies binding to species-conserved epitopes. Overall, anti-C1 antibodies were detected in 90 of 115 (78%) AHA and 36 of 63 (57%) HA inhibitor patients.Two well-characterized monoclonal C1 inhibitors, human LE2E9 (Jacquemin et al, 2000) and murine MAb 2A9 (ASH 2014 poster, Batsuli et al) were used for indirect epitope mapping of anti-C1 antibodies in AHA patients by competition binding studies. Our results for AHA patients with non-crossreactive anti-C1 antibodies only (n=11) show that antibody binding to human C1 domain human/porcine hybrid fVIII (HP53) protein was completely blocked in the presence of MAb 2A9. In contrast, antibody binding to the isolated C1 domain was only partially reduced in the presence of MAb 2A9 for a selected number of (high responding) AHA patients (n=10) suggesting the presence of a second population of crossreactive anti-C1 antibodies that exclusively bind to conserved amino acid residues.Competition binding to native and denatured fVIII and HP53 proteins revealed that MAb 2A9 and LE2E9 bind mutually exclusive to a conformational C1 epitope involving amino acid residues that are not conserved between humans and pigs. Consequently, essential binding residues were identified for both C1 inhibitors via the use of HP53 variants, in which surface exposed non-conserved amino acid residues on the human C1 domain were substituted for porcine residues. The results of this mutational analysis showed that despite their competitive binding different amino acid residues are essential for binding of MAb 2A9 and LE2E9. These findings are in agreement with the different specific inhibitory activities of the two C1 inhibitors (97 BU/mg vs 10000 BU/mg).Finally, HSA-C1 point mutants were used to directly map essential epitope residues of anti-C1 antibodies in AHA and HA inhibitor patient plasma.Our study demonstrates that a large number of AHA and HA inhibitor patients (126 of 178; 71%) have anti-C1 antibodies that comprise at least two different populations, crossreactive and non-crossreactive to porcine fVIII. Therefore, in addition to the A2 and C2 domains, the C1 domain seems to significantly contribute to the immune response to fVIII in these patients. As recent data point toward a functional role of the fVIII C1 domain for membrane-, fX-, and von Willebrand factor-binding (Lü et al, 2011) the clinical relevance of anti-C1 antibodies should be analyzed in further studies. DisclosuresTiede:Leo Pharma: Consultancy, Honoraria; Novo Nordisk: Consultancy, Honoraria, Research Funding; Coachrom: Research Funding; SOBI: Consultancy, Honoraria; Biogen Idec: Consultancy, Honoraria; CSL Behring: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria; Boehringer Ingelheim: Consultancy, Honoraria; Octapharma: Other: Investigator, Speakers Bureau; Biotest: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria, Investigator, Research Funding; Baxter: Consultancy, Honoraria, Research Funding. Königs:Bayer: Research Funding, Speakers Bureau; Biotest: Research Funding, Speakers Bureau; Pfizer: Research Funding, Speakers Bureau; Sobi: Consultancy; CSL Behring: Research Funding, Speakers Bureau; Intersero: Research Funding; NovoNordisk: Speakers Bureau.

Clinical Immunogenicity of rHuPH20, a Hyaluronidase Enabling Subcutaneous Drug Administration.

Recombinant human PH20 hyaluronidase (rHuPH20) is used to facilitate dispersion of subcutaneously delivered fluids and drugs. This report summarizes rHuPH20 immunogenicity findings from clinical trials where rHuPH20 was co-administered with SC human immunoglobulin, trastuzumab, rituximab, or insulin. Plasma samples were obtained from evaluable subjects participating in ten different clinical trials as well as from healthy plasma donors. A bridging immunoassay and a modified hyaluronidase activity assay were used to determine rHuPH20-reactive antibody titers and neutralizing antibodies, respectively. rHuPH20-binding antibody populations from selected subjects with positive titers were affinity-purified and subjected to further characterization such as cross-reactivity with endogenous PH20. Among individual trials, the prevalence of pre-existing rHuPH20-reactive antibodies varied between 3 and 12%, excepting the primary immunodeficiency (PID) studies. Incidence of treatment-induced rHuPH20 antibodies was 2 to 18%, with the highest titers (81,920) observed in PID. No neutralizing antibodies were observed. Within most trials, the kinetics of antibody responses were comparable between pre-existing and treatment-induced antibody responses, although responses classified as persistent were more common in subjects with pre-existing titers. There was no association between antibody positivity and either local or systemic adverse events. Pre-existing and treatment-induced antibody populations were of similar immunoglobulin isotypes and cross-reacted to endogenous PH20 to similar extents. No cross-reactivity to PH20 paralogs was detected. rHuPH20 induces only modest immunogenicity which has no association with adverse events. In addition, antibodies purified from baseline-positive individuals are qualitatively similar to those purified from individuals developing rHuPH20-reactive antibodies following exposure to the enzyme.Electronic supplementary materialThe online version of this article (doi:10.1208/s12248-015-9782-0) contains supplementary material, which is available to authorized users.

Discrimination within epitope specific antibody populations against Classical swine fever virus is a new means of differentiating infection from vaccination

Serological differentiation between infection and vaccination depends on the detection of pathogen specific antibodies for an epitope that is modified or lacking in a vaccine. Here we describe a new assay principle that is based on differences in the binding properties of epitope specific antibodies. C-DIVA is a potent Classical swine fever vaccine candidate that differs from the parental C-strain life attenuated vaccine in the highly immunogenic TAVSPTTLR epitope by the deletion of two and the mutation of one amino acid (TAGSΔΔTLR). We show that C-DIVA vaccination elicits antibodies with high affinity for both the TAGSΔΔTLR and TAVSPTTLR epitope, whereas infection elicits only TAVSPTTLR specific antibodies. Differentiation is achieved with a double competition assay with negative selection for antibodies with affinity for the TAGSΔΔTLR epitope followed by positive selection for antibodies with affinity for the TAVSPTTLR epitope. Our findings add a new strategy for the development of marker vaccines and their accompanying discrimination assays and offer an alternative to the devastating stamping out policy for Classical swine fever.

Immune clonal selection algorithm for capacitated arc routing problem

In existing metaheuristics for solving the capacitated arc routing problem, traversal local search operators are often used to explore neighbors of the current solutions. This mechanism is beneficial for finding high-quality solutions; however, it entails a large number of function evaluations, causing high computational complexity. Hence, there is a need to further enhance the efficiency of such algorithms. This paper proposes a high-efficiency immune clonal selection algorithm for capacitated arc routing instances within a limited number of function evaluations. First, an improved constructive heuristic is used to initialize the antibody population. The initial antibodies generated by this heuristic help accelerate the algorithm's convergence. Second, we show how an immune clonal selection algorithm can select in favor of these high-quality antibodies. By adopting a variety of different strategies for different clones of the same antibody, it not only promotes cooperation and information exchanging among antibodies, but also increases diversity and speeds up convergence. Third, two different antibody repair operations are proposed for repairing various kinds of infeasible solutions. These operations cause infeasible solutions to move towards global optima. Experimental studies demonstrate improved performance over state-of-art algorithms, especially on medium-scale instances.