Gregory M. Constantine

Cognitive correlates of cortical cholinergic denervation in Parkinson's disease and parkinsonian dementia.

AbstractWe recently reported findings that loss of cortical acetylcholinesterase (AChE) activity is greater in parkinsonian dementia than in Alzheimer’s disease (AD). In this study we determined cognitive correlates of in vivo cortical AChE activity in patients with parkinsonian dementia (PDem, n = 11), Parkinson’s disease without dementia (PD, n = 13), and in normal controls (NC, n = 14) using N–[11C]methyl–piperidin–4–yl propionate ([11C]PMP) AChE positron emission tomography (PET). Cortical AChE activity was significantly reduced in the PDem (–20.9%) and PD (–12.7 %) subjects (P < 0.001) when compared with the control subjects. Analysis of the cognitive data within the patient groups demonstrated that scores on the WAIS-III Digit Span, a test of working memory and attention, had most robust correlation with cortical AChE activity (R = 0.61, p < 0.005). There were also significant correlations between cortical AChE activity and other tests of attentional and executive functions, such as the Trail Making and Stroop Color Word tests. There was no significant correlation between cortical AChE activity and duration of motor disease (R = –0.01, ns) or severity of parkinsonian motor symptoms (R = 0.14, ns). We conclude that cortical cholinergic denervation in PD and parkinsonian dementia is associated with decreased performance on tests of attentional and executive functioning.

A MULTIVARIATE FAA DI BRUNO FORMULA WITH APPLICATIONS

A multivariate Faa di Bruno formula for computing arbitrary partial derivatives of a function composition is presented. It is shown, by way of a general identity, how such derivatives can also be expressed in the form of an infinite series. Applications to stochastic processes and multivariate cumulants are then delineated.

THE ACUTE INFLAMMATORY RESPONSE IN DIVERSE SHOCK STATES

A poorly controlled acute inflammatory response can lead to organ dysfunction and death. Severe systemic inflammation can be induced and perpetuated by diverse insults such as the administration of toxic bacterial products (e.g., endotoxin), traumatic injury, and hemorrhage. Here, we probe whether these varied shock states can be explained by a universal inflammatory system that is initiated through different means and, once initiated, follows a course specified by the cellular and molecular mechanisms of the immune and endocrine systems. To examine this question, we developed a mathematical model incorporating major elements of the acute inflammatory response in C57Bl/6 mice, using input from experimental data. We found that a single model with different initiators including the autonomic system could describe the response to various insults. This model was able to predict a dose range of endotoxin at which mice would die despite having been calibrated only in nonlethal inflammatory paradigms. These results show that the complex biology of inflammation can be modeled and supports the hypothesis that shock states induced by a range of physiologic challenges could arise from a universal response that is differently initiated and modulated.

Degree of inhibition of cortical acetylcholinesterase activity and cognitive effects by donepezil treatment in Alzheimer’s disease

Objectives: To determine in vivo cortical acetylcholinesterase (AChE) activity and cognitive effects in subjects with mild Alzheimer’s disease (AD, n = 14) prior to and after 12 weeks of donepezil therapy. Methods: Cognitive and N-[11C]methyl-piperidin-4-yl propionate ([11C]PMP) AChE positron emission tomography (PET) assessments before and after donepezil therapy. Results: Analysis of the PET data revealed mean (temporal, parietal, and frontal) cortical donepezil induced AChE inhibition of 19.1% (SD 9.4%) (t = −7.9; p<0.0001). Enzyme inhibition was most robust in the anterior cingulate cortex (24.2% (6.9%), t = −14.1; p<0.0001). Donepezil induced cortical inhibition of AChE activity correlated with changes in the Stroop Color Word interference scores (R2 = 0.59, p<0.01), but not with primary memory test scores. Analysis of the Stroop test data indicated that subjects with AChE inhibition greater than the median value (>22.2%) had improved scores on the Stroop Color Word Test compared with subjects with less inhibition who had stable to worsening scores (t = −2.7; p<0.05). Conclusions: Donepezil induced inhibition of cortical AChE enzyme activity is modest in patients with mild AD. The degree of cortical enzyme inhibition correlates with changes in executive and attentional functions.

Mechanistic simulations of inflammation: current state and future prospects.

Inflammation is a normal, robust physiological process. It can also be viewed as a complex system that senses and attempts to resolve homeostatic perturbations initiated from within the body (for example, in autoimmune disease) or from the outside (for example, in infections). Virtually all acute and chronic diseases are either driven or modulated by inflammation. The complex interplay between beneficial and harmful arms of the inflammatory response may underlie the lack of fully effective therapies for many diseases. Mathematical modeling is emerging as a frontline tool for understanding the complexity of the inflammatory response. A series of articles in this issue highlights various modeling approaches to inflammation in the larger context of health and disease, from intracellular signaling to whole-animal physiology. Here we discuss the state of this emerging field. We note several common features of inflammation models, as well as challenges and prospects for future studies.

Cortical cholinergic denervation is associated with depressive symptoms in Parkinson’s disease and parkinsonian dementia

Aim: To investigate the relationship between ratings of depressive symptoms and in vivo cortical acetylcholinesterase (AChE) activity in subjects with Parkinson’s disease (PD) and parkinsonian dementia (PDem). Methods: Subjects (with PD, n = 18, including subjects with PDem, n = 6, and normal controls, n = 10) underwent [11C]methyl-4-piperidinyl propionate AChE positron emission tomography imaging and clinical assessment including the Cornell Scale for Depression in Dementia (CSDD). Results: Subjects with PD and PDem had higher scores on the CSDD compared with normal controls: 7.3 (5.4) and 2.8 (2.6), respectively (F = 6.9, p = 0.01). Pooled analysis demonstrated a significant inverse correlation between cortical AChE activity and CSDD scores: R = −0.5, p = 0.007. This correlation remained significant after controlling for Mini-Mental State Examination scores. Conclusion: Depressive symptomatology is associated with cortical cholinergic denervation in PD that tends to be more prominent when dementia is present.

Cognitive correlates of alterations in acetylcholinesterase in Alzheimer's disease

We recently reported findings of modest loss of cortical acetylcholinesterase (AChE) activity in patients with overall mild Alzheimers disease (AD) using N-[11C]methyl-pi-peridin-4-yl propionate ([11C]PMP) AChE positron emission tomography (PET). To determine cognitive correlates of in vivo cortical AChE activity in patients with mild to moderate AD (n=15), and in normal controls (NC, n=12) using [11C]PMP AChE PET imaging. Mean cortical AChE activity in the AD subjects was mildly reduced (-11.1%) compared to the control subjects (P<0.05). Analysis of the cognitive data showed that mean cortical AChE activity was significantly associated with performance on a test of attention and working memory (WAIS-III Digit Span, R=0.46, P=0.01) but not with tests of delayed short or long-term memory functions. Similar findings were present when the analysis was limited to the temporal cortex. Cortical AChE activity is more robustly associated with functions of attention and working memory compared to performance on primary memory tests in AD.

Translational systems approaches to the biology of inflammation and healing.

Inflammation is a complex, non-linear process central to many of the diseases that affect both developed and emerging nations. A systems-based understanding of inflammation, coupled to translational applications, is therefore necessary for efficient development of drugs and devices, for streamlining analyses at the level of populations, and for the implementation of personalized medicine. We have carried out an iterative and ongoing program of literature analysis, generation of prospective data, data analysis, and computational modeling in various experimental and clinical inflammatory disease settings. These simulations have been used to gain basic insights into the inflammatory response under baseline, gene-knockout, and drug-treated experimental animals for in silico studies associated with the clinical settings of sepsis, trauma, acute liver failure, and wound healing to create patient-specific simulations in polytrauma, traumatic brain injury, and vocal fold inflammation; and to gain insight into host-pathogen interactions in malaria, necrotizing enterocolitis, and sepsis. These simulations have converged with other systems biology approaches (e.g., functional genomics) to aid in the design of new drugs or devices geared towards modulating inflammation. Since they include both circulating and tissue-level inflammatory mediators, these simulations transcend typical cytokine networks by associating inflammatory processes with tissue/organ impacts via tissue damage/dysfunction. This framework has now allowed us to suggest how to modulate acute inflammation in a rational, individually optimized fashion. This plethora of computational and intertwined experimental/engineering approaches is the cornerstone of Translational Systems Biology approaches for inflammatory diseases.

A Two-Compartment Mathematical Model of Endotoxin-induced Inflammatory and Physiologic Alterations in Swine

Objective:To gain insights into individual variations in acute inflammation and physiology. Design:Large-animal study combined with mathematical modeling. Setting:Academic large-animal and computational laboratories. Subjects:Outbred juvenile swine. Interventions:Four swine were instrumented and subjected to endotoxemia (100 µg/kg), followed by serial plasma sampling. Measurements and Main Results:Swine exhibited various degrees of inflammation and acute lung injury, including one death with severe acute lung injury (PaO2/FIO2 ratio &mgr;200 and static compliance &mgr;10 L/cm H2O). Plasma interleukin-1&bgr;, interleukin-4, interleukin-6, interleukin-8, interleukin-10, tumor necrosis factor-&agr;, high mobility group box-1, and NO2-/NO3- were significantly (p &mgr; .05) elevated over the course of the experiment. Principal component analysis was used to suggest principal drivers of inflammation. Based in part on principal component analysis, an ordinary differential equation model was constructed, consisting of the lung and the blood (as a surrogate for the rest of the body), in which endotoxin induces tumor necrosis factor-&agr; in monocytes in the blood, followed by the trafficking of these cells into the lung leading to the release of high mobility group box-1, which in turn stimulates the release of interleukin-1&bgr; from resident macrophages. The ordinary differential equation model also included blood pressure, PaO2, and FIO2, and a damage variable that summarizes the health of the animal. This ordinary differential equation model could be fit to both inflammatory and physiologic data in the individual swine. The predicted time course of damage could be matched to the oxygen index in three of the four swine. Conclusions:The approach described herein may aid in predicting inflammation and physiologic dysfunction in small cohorts of subjects with diverse phenotypes and outcomes.

A dynamic view of trauma/hemorrhage-induced inflammation in mice: principal drivers and networks.

Background Complex biological processes such as acute inflammation induced by trauma/hemorrhagic shock/ (T/HS) are dynamic and multi-dimensional. We utilized multiplexing cytokine analysis coupled with data-driven modeling to gain a systems perspective into T/HS. Methodology/Principal Findings Mice were subjected to surgical cannulation trauma (ST) ± hemorrhagic shock (HS; 25 mmHg), and followed for 1, 2, 3, or 4 h in each case. Serum was assayed for 20 cytokines and NO2 −/NO3 −. These data were analyzed using four data-driven methods (Hierarchical Clustering Analysis [HCA], multivariate analysis [MA], Principal Component Analysis [PCA], and Dynamic Network Analysis [DyNA]). Using HCA, animals subjected to ST vs. ST + HS could be partially segregated based on inflammatory mediator profiles, despite a large overlap. Based on MA, interleukin [IL]-12p40/p70 (IL-12.total), monokine induced by interferon-γ (CXCL-9) [MIG], and IP-10 were the best discriminators between ST and ST/HS. PCA suggested that the inflammatory mediators found in the three main principal components in animals subjected to ST were IL-6, IL-10, and IL-13, while the three principal components in ST + HS included a large number of cytokines including IL-6, IL-10, keratinocyte-derived cytokine (CXCL-1) [KC], and tumor necrosis factor-α [TNF-α]. DyNA suggested that the circulating mediators produced in response to ST were characterized by a high degree of interconnection/complexity at all time points; the response to ST + HS consisted of different central nodes, and exhibited zero network density over the first 2 h with lesser connectivity vs. ST at all time points. DyNA also helped link the conclusions from MA and PCA, in that central nodes consisting of IP-10 and IL-12 were seen in ST, while MIG and IL-6 were central nodes in ST + HS. Conclusions/Significance These studies help elucidate the dynamics of T/HS-induced inflammation, complementing other forms of dynamic mechanistic modeling. These methods should be applicable to the analysis of other complex biological processes.