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The southern corn rootworm, Diabrotica undecimpunctata howardi Barber, is native to the US where it is a pest of peanut, Arachis hypogaea. The banded cucumber beetle, Diabrotica balteata LeConte, is native to the neotropics, but its range has expanded and currently includes most of the US peanut production area. The purpose of this study was to: (i) define seasonal variation in adult rootworm populations in peanut fields, and (ii) determine the effect(s) of proximity to a putative early season host (i.e., corn, Zea mays) and the presence of irrigation on rootworm infestation and pod injury in peanut. Seasonal abundance of adult rootworms in commercial peanut fields in Georgia was monitored in 2021 and 2022 using plant volatile lures attached to yellow sticky traps. Traps were located at 45, 90, and 180 m from the field edge in irrigated and nonirrigated peanut fields with and without a corn border. Two peaks in abundance were observed for both species in each year. Though peak abundance for the two species occurred nearly simultaneously, D. balteata was more abundant than D. u. howardi. Beetle abundance was highest in fields bordered by corn, but presence of irrigation was not as important for D. balteata as it was for D. u. howardi. Pod injury was greater in fields bordered by corn in both years, but there was no difference in pod injury between irrigated and nonirrigated fields. The number of beetles captured and incidence of pod injury within a field did not differ with distance from the field border., (© The Author(s) 2024. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

We present a second-order high-resolution finite difference scheme to approximate the solution of a mathematical model of the transmission dynamics of Mycobacterium marinum (Mm) in an aquatic environment. This work extends the numerical theory and continues the preliminary studies on the model first developed in Ackleh et al. [Structured models for the spread of Mycobacterium marinum: foundations for a numerical approximation scheme, Math. Biosci. Eng. 11 (2014), pp. 679-721]. Numerical simulations demonstrating the accuracy of the method are presented, and we compare this scheme to the first-order scheme developed in Ackleh et al. [Structured models for the spread of Mycobacterium marinum: foundations for a numerical approximation scheme, Math. Biosci. Eng. 11 (2014), pp. 679-721] to show that the first-order method requires significantly more computational time to provide solutions with a similar accuracy. We also demonstrated that the model can be a tool to understand surprising or nonintuitive phenomena regarding competitive advantage in the context of biologically realistic growth, birth and death rates.

In this paper we present new results for differentiability of delay systems with respect to initial conditions and delays. After motivating our results with a wide range of delay examples arising in biology applications, we further note the need for sensitivity functions (both traditional and generalized sensitivity functions), especially in control and estimation problems. We summarize general existence and uniqueness results before turning to our main results on differentiation with respect to delays, etc. Finally we discuss use of our results in the context of estimation problems.

CFSE analysis of a proliferating cell population is a popular tool for the study of cell division and divisionlinked changes in cell behavior. Recently Banks et al. (2011), Luzyanina et al. (2009), Luzyanina et al. (2007), a partial differential equation (PDE) model to describe lymphocyte dynamics in a CFSE proliferation assay was proposed. We present a significant revision of this model which improves the physiological understanding of several parameters. Namely, the parameter used previously as a heuristic explanation for the dilution of CFSE dye by cell division is replaced with a more physical component, cellular autofluorescence. The rate at which label decays is also quantified using a Gompertz decay process. We then demonstrate a revised method of fitting the model to the commonly used histogram representation of the data. It is shown that these improvements result in a model with a strong physiological basis which is fully capable of replicating the behavior observed in the data., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Advances in fluorescent labeling of cells as measured by flow cytometry have allowed for quantitative studies of proliferating populations of cells. The investigations (Luzyanina et al. in J. Math. Biol. 54:57-89, 2007; J. Math. Biol., 2009; Theor. Biol. Med. Model. 4:1-26, 2007) contain a mathematical model with fluorescence intensity as a structure variable to describe the evolution in time of proliferating cells labeled by carboxyfluorescein succinimidyl ester (CFSE). Here, this model and several extensions/modifications are discussed. Suggestions for improvements are presented and analyzed with respect to statistical significance for better agreement between model solutions and experimental data. These investigations suggest that the new decay/label loss and time dependent effective proliferation and death rates do indeed provide improved fits of the model to data. Statistical models for the observed variability/noise in the data are discussed with implications for uncertainty quantification. The resulting new cell dynamics model should prove useful in proliferation assay tracking and modeling, with numerous applications in the biomedical sciences.

We present a general class of cell population models that can be used to track the proliferation of cells which have been labeled with a fluorescent dye. The mathematical models employ fluorescence intensity as a structure variable to describe the evolution in time of the population density of proliferating cells. While cell division is a major component of changes in cellular fluorescence intensity, models developed here also address overall label degradation.

Public health professionals are charged with the task of designing prevention programs for the effective control of biologically intricate infectious diseases at a population level. The effective vaccination of a population for pneumococcal diseases (infections caused by Streptococcus pneumoniae) remains a relevant question in the scientific community. It is complicated by heterogeneity in individuals' responses to exposure to the bacterium and their responses to vaccination. Due to these complexities, most modelling efforts in this area have been on the cellular/bacteria level. Here, we introduce an age-structured SEIS-type model of pneumococcal diseases and their vaccination. We discuss the use of this framework in predicting the impact of vaccine strategies, with pneumococcal diseases as an example. Using parameter values reasonable for a developed country, we discuss the effects of targeting the colonization and/or infection stages on the age profiles of morbidity in a population.

The design and evaluation of epidemiological control strategies is central to public health policy. While inverse problem methods are routinely used in many applications, this remains an area in which their use is relatively rare, although their potential impact is great. We describe methods particularly relevant to epidemiological modeling at the population level. These methods are then applied to the study of pneumococcal vaccination strategies as a relevant example which poses many challenges common to other infectious diseases. We demonstrate that relevant yet typically unknown parameters may be estimated, and show that a calibrated model may used to assess implemented vaccine policies through the estimation of parameters if vaccine history is recorded along with infection and colonization information. Finally, we show how one might determine an appropriate level of refinement or aggregation in the age-structured model given age-stratified observations. These results illustrate ways in which the collection and analysis of surveillance data can be improved using inverse problem methods.

Pneumococcal diseases, or infections from the etiological agent Streptococcus pneumoniae, have long been a major cause of morbidity and mortality worldwide. Recent advances in the development of vaccines for these infections have raised questions concerning their widespread and/or long-term use. In this work, we use surveillance data collected by the Australian National Notifiable Diseases Surveillance system to estimate parameters in a mathematical model of pneumococcal infection dynamics in a population with partial vaccination. The parameters obtained are of particular interest as they are not typically available in reported literature or measurable. The calibrated model is then used to assess the impact of the recent federally funded program that provides pneumococcal vaccines to large risk groups. The results presented here suggest the state of these infections may be changing in response to the programs, and warrants close quantitative monitoring.

It is well-established that the binding of N-formyl peptides to the N-formyl peptide receptor on neutrophils can be described by a kinetic scheme that involves two ligand-bound receptor states, both a low affinity ligand-receptor complex and a high affinity ligand-receptor complex, and that the rate constants describing ligand-receptor binding and receptor affinity state interconversion are ligand-specific. Here we examine whether differences due to these rate constants, i.e. differences in the numbers and lifetimes of particular receptor states, are correlated with neutrophil responses, namely actin polymerization and oxidant production. We find that an additional receptor state, one not discerned from kinetic binding assays, is required to account for these responses. This receptor state is interpreted as the number of low affinity bound receptors that are capable of activating G proteins; in other words, the accumulation of these active receptors correlates with the extent of both responses. Furthermore, this analysis allows for the quantification of a parameter that measures the relative strength of a ligand to bias the receptor into the active conformation. A model with this additional receptor state is sufficient to describe response data when two ligands (agonist/agonist or agonist/antagonist pairs) are added simultaneously, suggesting that cells respond to the accumulation of active receptors regardless of the identity of the ligand(s).

Integrin-linked kinase (ILK) couples integrins and growth factors to downstream signaling pathways involving phosphatidylinositol 3-kinase, protein kinase B/Akt (PKB/Akt), and glycogen synthase kinase-3beta. The anticancer effects of ILK inhibitor QLT0254 were tested in an orthotopic primary xenograft model of pancreatic cancer. The pharmacodynamic effects of a single dose of QLT0254 on the phosphorylation of PKB/Akt were measured by immunohistochemistry and Western blotting, and showed a decrease of >80% after 2 hours, followed by recovery over 24 hours, consistent with the pharmacokinetic profile of this compound in mice. There was also suppression in phosphorylated PKB Thr(308), forkhead in rhabdomyosarcoma, S6K1, S6, 4E-BP1, and signal transducers and activators of transcription 3 Tyr(705) and Ser(727) protein levels with ILK inhibition by QLT0254. However, we did not observe an effect on phosphoinositide-dependent kinase 1, glycogen synthase kinase-3beta, and extracellular signal-regulated kinase phosphorylation or on total PKB and ILK protein expression levels with QLT0254 treatment. In tumor growth inhibition experiments, daily treatment with QLT0254 for 3 weeks was well tolerated and produced significant tumor growth inhibition compared with vehicle control (P = 0.001). When a single dose of QLT0254 and chemotherapy agent gemcitabine was administered, there was a significant 5.4-fold increase in acute apoptosis in the combination therapy group compared with vehicle controls (P = 0.002). However, the acute effects of QLT0254 on proliferation were not statistically significant. These results show in vivo evidence that ILK plays a prominent role in oncogenic phosphatidylinositol 3-kinase/PKB signaling in vivo with major impact on the mammalian target of rapamycin, signal transducers and activators of transcription 3, and forkhead in rhadomyosarcoma signaling pathways, suggesting that ILK inhibitors might show activity in pancreatic cancer patients.

The goal of this study was to elucidate the relationships between early ligand binding/receptor processing events and cellular responses for the N-formyl peptide receptor system on human neutrophils as a model of a GPCR system in a physiologically relevant context. Binding kinetics of N-formyl-methionyl-leucyl-phenylalanyl-phenylalanyl-lysine-fluorescein and N-formyl-valyl-leucyl-phenylalanyl-lysine-fluorescein to the N-formyl peptide receptor on human neutrophils were characterized and combined with previously published binding data for four other ligands. Binding was best fit by an interconverting two-receptor state model that included a low affinity receptor state that converted to a high affinity state. Response behaviors elicited at 37 degrees C by the six different agonists for the N-formyl peptide receptor were measured. Dose response curves for oxidant production, actin polymerization, and G-protein activation were obtained for each ligand; whereas all ligands showed equal efficacy for all three responses, the ED(50) values varied as much as 7000-fold. The level of agonism and rank order of potencies of ligands for actin and oxidant responses were the same as for the G-protein activation assay, suggesting that the differences in abilities of ligands to mediate responses were determined upstream of G-protein activation at the level of ligand-receptor interactions. The rate constants governing ligand binding and receptor affinity conversion were ligand-dependent. Analysis of the forward and reverse rate constants governing binding to the proposed signaling receptor state showed that it was of a similar energy for all six ligands, suggesting the hypothesis that ligand efficacy is dictated by the energy state of this ligand-receptor complex. However, the interconverting two-receptor state model was not sufficient to predict response potency, suggesting the presence of receptor states not discriminated by the binding data.

Background: Fluorescently labeled ligands and flow cytometric methods allow quantification of receptor-ligand binding. Such methods require calibration of the fluorescence of bound ligands. Moreover, binding of unlabeled ligands can be calculated based on their abilities to compete with a labeled ligand. In this study, calibration parameters were determined for six fluorescently labeled N-formyl peptides that bind to receptors on neutrophils. Two of these ligands were then used to develop and validate competitive binding protocols for determining binding constants of unlabeled ligands., Methods: Spectrofluorometric and flow cytometric methods for converting relative flow cytometric intensities to number of bound ligand/cell were extended to include peptides labeled with fluorescein, Bodipy, and tetramethylrhodamine. The validity of flow cytometric competitive binding protocols was tested using two ligands with different fluorescent properties that allowed determination of rate constants both directly and competitively for one ligand, CHO-NLFNYK-tetramethylrhodamine., Results: Calibration parameters were determined for six fluorescently-labeled N-formyl peptides. Equilibrium dissociation constants for these ligands varied over two orders of magnitude and depended upon the peptide sequence and the molecular structure of the fluorescent tag. Kinetic rate constants for CHO-NLFNYK-tetramethylrhodamine determined directly or in competition with CHO-NLFNYK-fluorescein were statistically identical., Conclusions: Combination of spectrofluorometric and flow cytometric methods allows convenient calculation of calibration parameters for a series of fluorescent ligands that bind to the same receptor site. Competitive binding protocols have been independently validated., (Copyright 2001 Wiley-Liss, Inc.)

The enantiomeric separation of three selenoamino acids, D,L-selenomethionine, D,L-selenoethionine and D,L-selenocystine is described. Both sulfated beta-cyclodextrin and vancomycin have been successfully used to separate all enantiomers of the compounds with UV detection. Reproducible separations, in terms of peak area and migration time were obtained using sulfated beta-cyclodextrin with reversed polarity and UV detection. With vancomycin as a chiral selector, reversed polarity was found to be more reproducible than positive polarity in terms of peak migration times.

The enantiomeric separation of three underivatized seleno-amino acids, D,L-selenocystine, and D,L-selenomethionine, and D,L-selenomethionine, with UV and ICP-MS detection is described. An HPLC column with a chiral crown ether stationary phase and a mobile phase of 0.10 M HCIO4 was used. Absolute detection limits obtained with UV detection ranged from 34.5 to 47.1 ng whereas those obtained with the plasma detector were ca. 40-400 times better. The separations with either detector were good, with the little detector effect on the resolution. Ten commercially available dietary selenium supplements were analyzed using the chiral column to identify and quantify the selenium species present with both detection modes. Selenium species were easily identified using ICP-MS detection, whereas UV detection was not viable because of interferences from the sample matrix and inadequate sensitivity. Selenium species that were unretained using the chiral column were identified using anion exchange chromatography. Total amounts in the samples were also measured using a conventional digestion and enzymatic digestion with ICP-MS detection.

The technique of coupling liquid chromatography to inductively plasma mass spectrometry (ICP-MS) is reviewed. A brief introduction to the ICP-MS instrument is given as well as methods to couple the two analytical instruments together. The various types of LC that have been used with ICP-MS detection are discussed and advantages over traditional methods of detection are highlighted, such as the improvements in sensitivity and selectivity. Several applications that have been described in the literature are reviewed. An outlook for the future of LC-ICP-MS, particularly with regard to elemental speciation is given.

A number of noncyclic oligo- and polysaccharides have been used as chiral additives in capillary electrophoresis (CE). This review offers a broad survey of the types of oligo- and polysaccharides which have been investigated and also some of the conditions developed for the enantioseparation of a wide range of drugs and other racemic compounds. Details of enantioseparation mechanisms are also discussed, in addition to some of the parameters required for optimization of the enantioresolution of chiral molecules.