Using decision science to evaluate global biodiversity indices

Global biodiversity indices are used to measure environmental change and progress toward conservation goals, yet few indices have been evaluated comprehensively for their capacity to detect trends of interest, such as declines in threatened species or ecosystem function. Using a structured approach based on decision science, we qualitatively evaluated 9 indices commonly used to track biodiversity at global and regional scales against 5 criteria relating to objectives, design, behavior, incorporation of uncertainty, and constraints (e.g., costs and data availability). Evaluation was based on reference literature for indices available at the time of assessment. We identified 4 key gaps in indices assessed: pathways to achieving goals (means objectives) were not always clear or relevant to desired outcomes (fundamental objectives); index testing and understanding of expected behavior was often lacking; uncertainty was seldom acknowledged or accounted for; and costs of implementation were seldom considered. These gaps may render indices inadequate in certain decision-making contexts and are problematic for indices linked with biodiversity targets and sustainability goals. Ensuring that index objectives are clear and their design is underpinned by a model of relevant processes are crucial in addressing the gaps identified by our assessment. Uptake and productive use of indices will be improved if index performance is tested rigorously and assumptions and uncertainties are clearly communicated to end users. This will increase index accuracy and value in tracking biodiversity change and supporting national and global policy decisions, such as the post-2020 global biodiversity framework of the Convention on Biological Diversity.

Forecasting species range dynamics with process-explicit models: matching methods to applications

Knowing where species occur is fundamental to many ecological and environmental applications. Species distribution models (SDMs) are typically based on correlations between species occurrence data and environmental predictors, with ecological processes captured only implicitly. However, there is a growing interest in approaches that explicitly model processes such as physiology, dispersal, demography and biotic interactions. These models are believed to offer more robust predictions, particularly when extrapolating to novel conditions. Many process-explicit approaches are now available, but it is not clear how we can best draw on this expanded modelling toolbox to address ecological problems and inform management decisions. Here, we review a range of process-explicit models to determine their strengths and limitations, as well as their current use. Focusing on four common applications of SDMs - regulatory planning, extinction risk, climate refugia and invasive species - we then explore which models best meet management needs. We identify barriers to more widespread and effective use of process-explicit models and outline how these might be overcome. As well as technical and data challenges, there is a pressing need for more thorough evaluation of model predictions to guide investment in method development and ensure the promise of these new approaches is fully realised.

Effects of uncertainty and variability on population declines and IUCN Red List classifications

The International Union for Conservation of Nature (IUCN) Red List Categories and Criteria is a quantitative framework for classifying species according to extinction risk. Population models may be used to estimate extinction risk or population declines. Uncertainty and variability arise in threat classifications through measurement and process error in empirical data and uncertainty in the models used to estimate extinction risk and population declines. Furthermore, species traits are known to affect extinction risk. We investigated the effects of measurement and process error, model type, population growth rate, and age at first reproduction on the reliability of risk classifications based on projected population declines on IUCN Red List classifications. We used an age-structured population model to simulate true population trajectories with different growth rates, reproductive ages and levels of variation, and subjected them to measurement error. We evaluated the ability of scalar and matrix models parameterized with these simulated time series to accurately capture the IUCN Red List classification generated with true population declines. Under all levels of measurement error tested and low process error, classifications were reasonably accurate; scalar and matrix models yielded roughly the same rate of misclassifications, but the distribution of errors differed; matrix models led to greater overestimation of extinction risk than underestimations; process error tended to contribute to misclassifications to a greater extent than measurement error; and more misclassifications occurred for fast, rather than slow, life histories. These results indicate that classifications of highly threatened taxa (i.e., taxa with low growth rates) under criterion A are more likely to be reliable than for less threatened taxa when assessed with population models. Greater scrutiny needs to be placed on data used to parameterize population models for species with high growth rates, particularly when available evidence indicates a potential transition to higher risk categories.

Evaluation of Two Approaches to Defining Extinction Risk under the U.S. Endangered Species Act

The predominant definition of extinction risk in conservation biology involves evaluating the cumulative distribution function (CDF) of extinction time at a particular point (the "time horizon"). Using the principles of decision theory, this article develops an alternative definition of extinction risk as the expected loss (EL) to society resulting from eventual extinction of a species. Distinct roles are identified for time preference and risk aversion. Ranges of tentative values for the parameters of the two approaches are proposed, and the performances of the two approaches are compared and contrasted for a small set of real-world species with published extinction time distributions and a large set of hypothetical extinction time distributions. Potential issues with each approach are evaluated, and the EL approach is recommended as the better of the two. The CDF approach suffers from the fact that extinctions that occur at any time before the specified time horizon are weighted equally, while extinctions that occur beyond the specified time horizon receive no weight at all. It also suffers from the fact that the time horizon does not correspond to any natural phenomenon, and so is impossible to specify nonarbitrarily; yet the results can depend critically on the specified value. In contrast, the EL approach has the advantage of weighting extinction time continuously, with no artificial time horizon, and the parameters of the approach (the rates of time preference and risk aversion) do correspond to natural phenomena, and so can be specified nonarbitrarily.

Using multiple lines of evidence to assess the risk of ecosystem collapse

Effective ecosystem risk assessment relies on a conceptual understanding of ecosystem dynamics and the synthesis of multiple lines of evidence. Risk assessment protocols and ecosystem models integrate limited observational data with threat scenarios, making them valuable tools for monitoring ecosystem status and diagnosing key mechanisms of decline to be addressed by management. We applied the IUCN Red List of Ecosystems criteria to quantify the risk of collapse of the Meso-American Reef, a unique ecosystem containing the second longest barrier reef in the world. We collated a wide array of empirical data (field and remotely sensed), and used a stochastic ecosystem model to backcast past ecosystem dynamics, as well as forecast future ecosystem dynamics under 11 scenarios of threat. The ecosystem is at high risk from mass bleaching in the coming decades, with compounding effects of ocean acidification, hurricanes, pollution and fishing. The overall status of the ecosystem is Critically Endangered (plausibly Vulnerable to Critically Endangered), with notable differences among Red List criteria and data types in detecting the most severe symptoms of risk. Our case study provides a template for assessing risks to coral reefs and for further application of ecosystem models in risk assessment.

Implications of different population model structures for management of threatened plants

Population viability analysis (PVA) is a reliable tool for ranking management options for a range of species despite parameter uncertainty. No one has yet investigated whether this holds true for model uncertainty for species with complex life histories and for responses to multiple threats. We tested whether a range of model structures yielded similar rankings of management and threat scenarios for 2 plant species with complex postfire responses. We examined 2 contrasting species from different plant functional types: an obligate seeding shrub and a facultative resprouting shrub. We exposed each to altered fire regimes and an additional, species-specific threat. Long-term demographic data sets were used to construct an individual-based model (IBM), a complex stage-based model, and a simple matrix model that subsumes all life stages into 2 or 3 stages. Agreement across models was good under some scenarios and poor under others. Results from the simple and complex matrix models were more similar to each other than to the IBM. Results were robust across models when dominant threats are considered but were less so for smaller effects. Robustness also broke down as the scenarios deviated from baseline conditions, likely the result of a number of factors related to the complexity of the species' life history and how it was represented in a model. Although PVA can be an invaluable tool for integrating data and understanding species' responses to threats and management strategies, this is best achieved in the context of decision support for adaptive management alongside multiple lines of evidence and expert critique of model construction and output.

A practical guide to the application of the IUCN Red List of Ecosystems criteria

The newly developed IUCN Red List of Ecosystems is part of a growing toolbox for assessing risks to biodiversity, which addresses ecosystems and their functioning. The Red List of Ecosystems standard allows systematic assessment of all freshwater, marine, terrestrial and subterranean ecosystem types in terms of their global risk of collapse. In addition, the Red List of Ecosystems categories and criteria provide a technical base for assessments of ecosystem status at the regional, national, or subnational level. While the Red List of Ecosystems criteria were designed to be widely applicable by scientists and practitioners, guidelines are needed to ensure they are implemented in a standardized manner to reduce epistemic uncertainties and allow robust comparisons among ecosystems and over time. We review the intended application of the Red List of Ecosystems assessment process, summarize 'best-practice' methods for ecosystem assessments and outline approaches to ensure operational rigour of assessments. The Red List of Ecosystems will inform priority setting for ecosystem types worldwide, and strengthen capacity to report on progress towards the Aichi Targets of the Convention on Biological Diversity. When integrated with other IUCN knowledge products, such as the World Database of Protected Areas/Protected Planet, Key Biodiversity Areas and the IUCN Red List of Threatened Species, the Red List of Ecosystems will contribute to providing the most complete global measure of the status of biodiversity yet achieved.

Combined Influences of Model Choice, Data Quality, and Data Quantity When Estimating Population Trends

Estimating and projecting population trends using population viability analysis (PVA) are central to identifying species at risk of extinction and for informing conservation management strategies. Models for PVA generally fall within two categories, scalar (count-based) or matrix (demographic). Model structure, process error, measurement error, and time series length all have known impacts in population risk assessments, but their combined impact has not been thoroughly investigated. We tested the ability of scalar and matrix PVA models to predict percent decline over a ten-year interval, selected to coincide with the IUCN Red List criterion A.3, using data simulated for a hypothetical, short-lived organism with a simple life-history and for a threatened snail, Tasmaphena lamproides. PVA performance was assessed across different time series lengths, population growth rates, and levels of process and measurement error. We found that the magnitude of effects of measurement error, process error, and time series length, and interactions between these, depended on context. We found that high process and measurement error reduced the reliability of both models in predicted percent decline. Both sources of error contributed strongly to biased predictions, with process error tending to contribute to the spread of predictions more than measurement error. Increasing time series length improved precision and reduced bias of predicted population trends, but gains substantially diminished for time series lengths greater than 10-15 years. The simple parameterization scheme we employed contributed strongly to bias in matrix model predictions when both process and measurement error were high, causing scalar models to exhibit similar or greater precision and lower bias than matrix models. Our study provides evidence that, for short-lived species with structured but simple life histories, short time series and simple models can be sufficient for reasonably reliable conservation decision-making, and may be preferable for population projections when unbiased estimates of vital rates cannot be obtained.

Choice of biodiversity index drives optimal fire management decisions

Preservation of biodiversity is a central goal of conservation management, yet the conditions that promote persistence may differ for the species in the community. For systems subject to stochastic disturbances such as fire, understanding which management practices promote persistence for all species in a community is complex. Before deciding on the best course of action, an objective must be specified. Yet an overarching goal of species persistence can be specified into a measureable objective many different ways. We investigated four alternative management objectives for maximizing species persistence that use common biodiversity indices: (1) attaining the minimally acceptable mix of successional vegetation states to support species' relative abundances, (2) maximizing the arithmetic mean abundance of species, (3) maximizing the geometric mean abundance of species, and (4) minimizing the average extinction risk of species. We used stochastic dynamic programming to model successional changes in vegetation in the presence of both planned and unplanned fires, and utilize an extensive data set on the occurrence of birds, reptiles, and small mammals in different successional states in semiarid Australia. We investigated the influence the choice of objective function and taxonomic focus has on the optimal fire management recommendations. We also evaluated a recent hazard reduction policy to annually burn a fixed amount of the landscape and compare results to the optimal solution. The optimal management strategy to maximize species persistence over a 100-year period is predominantly to minimize wildfires. This is because the majority of species are more likely to occur in intermediate, and late successional vegetation. However the optimal solution showed sensitivity to the objective and the species included in the analysis. These results highlight the need for careful consideration when specifying an objective to represent overarching conservation goals. Using the extinction risk objective, we show that a policy to annually burn 5% of the landscape could increase the average probability of extinction for the modelled species by 7% over the next 100 years compared to the optimal management scenario.

Detecting extinction risk from climate change by IUCN Red List criteria

Anthropogenic climate change is a key threat to global biodiversity. To inform strategic actions aimed at conserving biodiversity as climate changes, conservation planners need early warning of the risks faced by different species. The IUCN Red List criteria for threatened species are widely acknowledged as useful risk assessment tools for informing conservation under constraints imposed by limited data. However, doubts have been expressed about the ability of the criteria to detect risks imposed by potentially slow-acting threats such as climate change, particularly because criteria addressing rates of population decline are assessed over time scales as short as 10 years. We used spatially explicit stochastic population models and dynamic species distribution models projected to future climates to determine how long before extinction a species would become eligible for listing as threatened based on the IUCN Red List criteria. We focused on a short-lived frog species (Assa darlingtoni) chosen specifically to represent potential weaknesses in the criteria to allow detailed consideration of the analytical issues and to develop an approach for wider application. The criteria were more sensitive to climate change than previously anticipated; lead times between initial listing in a threatened category and predicted extinction varied from 40 to 80 years, depending on data availability. We attributed this sensitivity primarily to the ensemble properties of the criteria that assess contrasting symptoms of extinction risk. Nevertheless, we recommend the robustness of the criteria warrants further investigation across species with contrasting life histories and patterns of decline. The adequacy of these lead times for early warning depends on practicalities of environmental policy and management, bureaucratic or political inertia, and the anticipated species response times to management actions.

Predicting species distributions for conservation decisions

Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of 'translators' between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.

Testing decision rules for categorizing species' extinction risk to help develop quantitative listing criteria for the U.S. Endangered Species Act

Lack of guidance for interpreting the definitions of endangered and threatened in the U.S. Endangered Species Act (ESA) has resulted in case-by-case decision making leaving the process vulnerable to being considered arbitrary or capricious. Adopting quantitative decision rules would remedy this but requires the agency to specify the relative urgency concerning extinction events over time, cutoff risk values corresponding to different levels of protection, and the importance given to different types of listing errors. We tested the performance of 3 sets of decision rules that use alternative functions for weighting the relative urgency of future extinction events: a threshold rule set, which uses a decision rule of x% probability of extinction over y years; a concave rule set, where the relative importance of future extinction events declines exponentially over time; and a shoulder rule set that uses a sigmoid shape function, where relative importance declines slowly at first and then more rapidly. We obtained decision cutoffs by interviewing several biologists and then emulated the listing process with simulations that covered a range of extinction risks typical of ESA listing decisions. We evaluated performance of the decision rules under different data quantities and qualities on the basis of the relative importance of misclassification errors. Although there was little difference between the performance of alternative decision rules for correct listings, the distribution of misclassifications differed depending on the function used. Misclassifications for the threshold and concave listing criteria resulted in more overprotection errors, particularly as uncertainty increased, whereas errors for the shoulder listing criteria were more symmetrical. We developed and tested the framework for quantitative decision rules for listing species under the U.S. ESA. If policy values can be agreed on, use of this framework would improve the implementation of the ESA by increasing transparency and consistency.

Scientific foundations for an IUCN Red List of ecosystems

An understanding of risks to biodiversity is needed for planning action to slow current rates of decline and secure ecosystem services for future human use. Although the IUCN Red List criteria provide an effective assessment protocol for species, a standard global assessment of risks to higher levels of biodiversity is currently limited. In 2008, IUCN initiated development of risk assessment criteria to support a global Red List of ecosystems. We present a new conceptual model for ecosystem risk assessment founded on a synthesis of relevant ecological theories. To support the model, we review key elements of ecosystem definition and introduce the concept of ecosystem collapse, an analogue of species extinction. The model identifies four distributional and functional symptoms of ecosystem risk as a basis for assessment criteria: A) rates of decline in ecosystem distribution; B) restricted distributions with continuing declines or threats; C) rates of environmental (abiotic) degradation; and D) rates of disruption to biotic processes. A fifth criterion, E) quantitative estimates of the risk of ecosystem collapse, enables integrated assessment of multiple processes and provides a conceptual anchor for the other criteria. We present the theoretical rationale for the construction and interpretation of each criterion. The assessment protocol and threat categories mirror those of the IUCN Red List of species. A trial of the protocol on terrestrial, subterranean, freshwater and marine ecosystems from around the world shows that its concepts are workable and its outcomes are robust, that required data are available, and that results are consistent with assessments carried out by local experts and authorities. The new protocol provides a consistent, practical and theoretically grounded framework for establishing a systematic Red List of the world's ecosystems. This will complement the Red List of species and strengthen global capacity to report on and monitor the status of biodiversity.

Experimental models for studying the effects of ethanol on the myocardium

The ability to induce alcoholic cardiomyopathy has been tested in a variety of animal species. Myocardial alterations consistent with subclinical heart disease have been produced in many of these studies through a direct effect of ethanol or its metabolites upon the heart or a neurohumoral mechanism. In the rat most studies have, however, failed to finding diminished contractility in the basal state. In long-term animals the acute left ventricular responses to isoproterenol and calcium as well as pacing were reduced. Long-term studies in mongrel dogs fed 36 per cent of calories as ethanol produced an early decrease in left ventricular diastolic compliance related to interstitial collagen accumulation. Diminished contractility developed by four years. In addition to the morphologic evidence of distorted sarcoplasmic reticulum, in vitro experiments suggest important acute effects. Each mole of ethanol is bound tightly to each mole of protein comprising the Ca-ATPase pump, which is inhibited. Impaired uptake and binding of calcium by the sarcoplasmic reticulum has been observed in chronic alcohol models at one to two day intervals following the last exposure to ethanol. In addition, the flux of calcium ion does not appear normal in terms of access to contractile protein, where the calcium regulated inhibition of the troponin interaction with myosin is impaired. Experimental studies in a canine model of alcoholism revealed that the ventricular fibrillation threshold was moderately reduced in the basal state after 18 months and was diminished further after acute exposure.

Optimal eradication: when to stop looking for an invasive plant

The notion of being sure that you have completely eradicated an invasive species is fanciful because of imperfect detection and persistent seed banks. Eradication is commonly declared either on an ad hoc basis, on notions of seed bank longevity, or on setting arbitrary thresholds of 1% or 5% confidence that the species is not present. Rather than declaring eradication at some arbitrary level of confidence, we take an economic approach in which we stop looking when the expected costs outweigh the expected benefits. We develop theory that determines the number of years of absent surveys required to minimize the net expected cost. Given detection of a species is imperfect, the optimal stopping time is a trade-off between the cost of continued surveying and the cost of escape and damage if eradication is declared too soon. A simple rule of thumb compares well to the exact optimal solution using stochastic dynamic programming. Application of the approach to the eradication programme of Helenium amarum reveals that the actual stopping time was a precautionary one given the ranges for each parameter.

Spectroscopic identification and direct imaging of interfacial magnetic spins

Using x-ray absorption spectromicroscopy we have imaged the uncompensated spins induced at the surface of antiferromagnetic (AFM) NiO(100) by deposition of ferromagnetic (FM) Co. These spins align parallel to the AFM spins in NiO(100) and align the FM spins in Co. The uncompensated interfacial spins arise from an ultrathin CoNiOx layer that is formed upon Co deposition through reduction of the NiO surface. The interfacial Ni spins are discussed in terms of the "uncompensated spins" at AFM/FM interfaces long held responsible for coercivity increases and exchange bias. We find a direct correlation between their number and the size of the coercivity.

Nonplatelet effects of aspirin during acute coronary occlusion: electrophysiologic and cation alterations in ischemic myocardium

BACKGROUND

Mortality after acute myocardial ischemia has been reduced by aspirin (ASA) but mechanisms other than the antiplatelet effect have not been established. This article evaluates an antiarrhythmic action during sympathetic stimulation in the intact anesthetized dog with and without ischemia.

METHODS AND RESULTS

The ventricular fibrillation threshold (VFT) was examined before and after epinephrine (E) in normals (group I). A VFT reduction during E was normalized after 1 week of ASA (P<.01). Regional myocardial ischemia for 1 hour resulted in similar hypoperfusion in controls of group II and after ASA. Action potential responses in isolated superfused ischemic tissue showed prolonged repolarization (APD90) in response to E, which was normalized after ASA (P<.01). To assess the antiarrhythmic role of the anion in group III, Na salicylate was given. During 1 hour of ischemia, the VF incidence was reduced and cation abnormalities diminished in ischemic myocardium compared with untreated ischemia.

CONCLUSIONS

ASA antagonizes the reduction of the VFT induced by catecholamine in normals as well as the repolarization abnormality elicited by E during acute ischemia. The salicylate anion appears to be the active component in view of the efficacy in preventing VF during the early ischemic period.

An advanced glycation endproduct cross-link breaker can reverse age-related increases in myocardial stiffness

Decreased elasticity of the cardiovascular system is one of the hallmarks of the normal aging process of mammals. A potential explanation for this decreased elasticity is that glucose can react nonenzymatically with long-lived proteins, such as collagen and lens crystallin, and link them together, producing advanced glycation endproducts (AGEs). Previous studies have shown that aminoguanidine, an AGE inhibitor, can prevent glucose cross-linking of proteins and the loss of elasticity associated with aging and diabetes. Recently, an AGE cross-link breaker (ALT-711) has been described, which we have evaluated in aged dogs. After 1 month of administration of ALT-711, a significant reduction ( approximately 40%) in age-related left ventricular stiffness was observed [(57.1 +/- 6.8 mmHg x m(2)/ml pretreatment and 33.1 +/- 4.6 mmHg x m(2)/ml posttreatment (1 mmHg = 133 Pa)]. This decrease was accompanied by improvement in cardiac function.

Effects of glucose intolerance on myocardial function and collagen-linked glycation

In experimental diabetes, diastolic dysfunction of the left ventricle has been associated with collagen-linked glycation. To determine whether less severe hyperglycemia may have similar effects, we gave alloxan to mongrel dogs (group 2) to induce impaired glucose tolerance (IGT) for comparison with normal subjects (group 1). After 6 months, hemodynamic studies were performed in the anesthetized animals. Basal heart rate, aortic pressure, and ejection fraction were comparable in the two groups, but calculated chamber stiffness was increased in group 2, associated with a reduced end diastolic volume and increased pressure. During infusion of dextran, the volume and pressure responses were similarly abnormal in group 2. In the myocardium, the collagen concentration rose with an increased interstitial distribution histologically. To assess glycation, collagen was extracted, digested with collagenase, and measured for fluorescence. Advanced glycation end products were increased in group 2 to 10.6 +/- 1.6 vs. 6.9 +/- 0.7 fluorescent units (FU)/mg collagen in group 1 (P < 0.01). To assess whether this could be pharmacologically prevented, we administered enalapril to inhibit ACE during the 6 months of glucose intolerance to group 3. This resulted in normal glycation and significant reduction in chamber stiffness increment. We gave group 4 animals aminoguanidine daily for 6 months, which prevented abnormal collagen glycation and chamber stiffness. Thus, in animals with IGT, collagen-linked glycosylation appeared to be a major factor affecting diastolic function and was shown to be amenable to pharmacological intervention.

Effects of Metformin on Collagen Glycation and Diastolic Dysfunction in Diabetic Myocardium

BACKGROUND: Collagen accumulation in the myocardial interstitium of diabetic animals is considered to promote diastolic stiffness through advanced glycosylation. Because in vitro data suggest that metformin can modify glycosylation, this study was undertaken in a canine diabetic model 4 months in duration. METHODS AND RESULTS: Untreated diabetics (group II) and diabetics treated with metformin alone (group III) or with insulin (group IV) were compared in the basal state and during volume infusion. Basal hemoglobin A(1c), heart rate, aortic pressure, and ejection fraction were comparable. Left ventricular end-diastolic pressure was significantly increased in the untreated diabetics of group II, associated with a reduced end-diastolic volume. By contrast these parameters in the metformin-treated diabetics of group III were comparable with those in the normals of group I. Similarly in group IV end-diastolic volume was higher than that in group II, but filling pressure, although lower, was not significantly so. Calculation of left ventricular chamber stiffness in the basal state indicated a higher level for group II compared with controls and the treatment groups. During the systemic infusion of dextran, the untreated diabetics of group II had the largest end-diastolic pressure increase and the smallest rise of end-diastolic volume of the treatment groups, consistent with a significantly greater chamber stiffness. Myocardial collagen concentration was increased in group II with an interstitial distribution on morphological exam. Levels of collagen-linked advanced glycosylation end products isolated from the left ventricular were significantly greater in group II than in group I. Treatment with metformin prevented the increment observed in the untreated diabetic but had no effect on the elevated collagen concentration. CONCLUSIONS: Untreated diabetics exhibited increased diastolic chamber stiffness associated with collagen-linked glycation in myocardium compared with control animals. Chronic metformin use prevented the abnormalities of function and composition.

Influence of nicotine on myocardial stiffness and fibrosis during chronic ethanol use

Cardiomyopathy related to ethanol abuse is often accompanied by cigarette use. To examine if the major cardioactive component may intensify the abnormal function and composition induced by chronic ethanol, nicotine was administered orally, 2.5 mg bid, to a canine model receiving 36% of calories as ethanol for 6 months (group III). These animals were compared with group II receiving ethanol alone, group IV on nicotine alone, and controls (group I). In the intact, ventilated, anesthetized dog, left ventricular pressures and volumes were measured before and after dextran infusion and related to left ventricular collagen alterations. Basal heart rate, aortic pressure, and ejection fraction were comparable with controls. End-diastolic pressure and diastolic chamber stiffness (KPV) were significantly higher in the basal state and during dextran infusion in the three experimental groups, compared with group I. The increment was largest in the ethanol-nicotine group. Analysis of left ventricular myocardium revealed a rise of collagen concentrations in all three experimental groups, with an interstitial distribution on histochemical examination. Moreover, determination of advanced glycosylation endproducts, as a measure of alterations in collagen cross-links, revealed higher concentrations versus controls. The greater increase of diastolic stiffness in the nicotine-ethanol group occurred despite a similar concentration of fluorescent products as group II. Because the former had a larger increase of collage concentration, total cross-linked collagen content was presumably greater after the combined use of nicotine-ethanol. Thus, nicotine in relatively high dose when combined with ethanol, elicited a modest further increase in the left ventricular chamber stiffness and collagen concentration.

Effect of acute ketoacidosis on the myocardium in diabetes

Abnormalities of left ventricular function are often present in patients with diabetes who are in a stable metabolic state. To determine whether acute metabolic abnormalities may contribute to pathogenesis, patients with diabetes and ketoacidosis (Group 1) or hyperglycemia without ketosis (Group 2) were studied. They were assessed noninvasively for evidence of acute injury or dysfunction of the myocardium. Left ventricular function was assessed on admission and after clinical recovery. Myocardial enzyme release was examined during the acute phase. In Group 1, plasma glucose averaged 32 mM/L and carbon dioxide content 12.4 mEq/L. On echocardiography, the initial circumferential shortening velocity of 1.85 + 0.07 circumferences per second was significantly higher than the final circumferential shortening velocity of 1.31 + 01 (P < 0.005). The systolic time interval ratio, pre-ejection period/left ventricular ejection time, was significantly lower on the initial day compared with the second study. These data are consistent with enhanced ventricular performance. In group 2, plasma glucose averaged 29 mM/L, and carbon dioxide content was normal. The initial circumferential shortening velocity of 1. 1 circumferences per second and pre-ejection period/left ventricular ejection time ratio of 0.38 were normal and remained unchanged. There was no significant alteration of heart rate or arterial pressure in either group. In both groups, total serum lactate dehydrogenase and creatinine phosphokinase levels, as well as their cardiac isoenzymes, were within normal limits. Therefore, the initial increase of myocardial performance and subsequent restoration to normal, as well as the lack of cardiac enzyme increase in plasma, support the view that shortterm ketoacidosis does not contribute to the abnormalities of ventricular function in diabetes.

Cardiac consequences of diabetes mellitus

A variety of disciplines including noninvasive and invasive cardiac methodologies, as well as epidemiologic studies, have provided information that has altered our view on the relation of diabetes to cardiac disease. Instead of an exclusive focus on coronary artery disease, it is now recognized that heart muscle can be independently involved in diabetic patients. In diabetics without known cardiac disease, abnormalities of left ventricular mechanical function have been demonstrated in 40 to 50% of subjects, and it is primarily a diastolic phenomenon. Left ventricular hypertrophy may eventually appear in the absence of hypertension. The diastolic dysfunction appears related to interstitial collagen deposition, largely attributable to diminished degradation. The presence of even moderate obesity intensifies the abnormality. Reversibility of this process is not readily achieved with chronic insulin therapy. Experimental studies have indicated normalization of the collagen alteration by endurance training, begun relatively early in the disease process. General measures of management include the control of other cardiac risk factors and a reasonable program of physical activity. The high mortality during an initial acute myocardial infarction has been attributed to heart failure, which is managed as in nondiabetic patients. Recently, the early introduction of aspirin, thrombolysis, and beta-adrenergic blockade has reduced mortality during the initial infarction. Chronic use of the latter agent over the subsequent years has also proven to be more beneficial in diabetic patients with acute myocardial infarction compared with nondiabetic patients.

Diabetic cardiomyopathy: experimental and clinical observations

Heart failure, arrhythmia, or chest pain can be a consequence of diabetes independent of coronary disease or hypertension. Diastolic myocardial dysfunction is common, contributing to the high mortality during acute infarction. The authors discuss diabetic cardiomyopathy and its management.

Anti-arrhythmic efficacy of beta-adrenergic blockade during acute ischemia in myocardium with scar

Ventricular arrhythmia production in the ischemic heart is considered to be influenced by prior infarction. Although beta-adrenergic blockade is known to have beneficial effects during acute ischemia, its anti-arrhythmic efficacy during post-infarction ischemia is not known. To explore this question, we have used a model with a relatively high incidence of ischemic arrhythmias. Mongrel dogs 2 to 3 years of age were studied intact under anesthesia. An irreversible injury of the infero-posterior myocardium was produced with an electrode catheter 1 week earlier. The arrhythmic response to acute ischemia was assessed using serial, transient 15-minute occlusions of the left-anterior descending coronary artery with a balloon catheter. During ischemia alone, the incidence of ventricular fibrillation in animals who underwent all phases of the study was 6 of 9; with atenolol (0.2 mg/kg intravenously) and ischemia, 1 of 9 (p < 0.05). To assess the role of the bradycardic response, the latter was repeated 1 week subsequently during atrial pacing at the heart rate that existed before ischemia. Fibrillation occurred in 8 of 9, a significant reversal of the therapeutic effect. To exclude the potential artifact of a fixed intervention protocol, a study was undertaken with the short-acting esmolol, in which three ischemic periods were alternated at 1-hour intervals: (A) ischemia without treatment, (B) ischemia with continuous infusion of 150 micrograms/kg/min esmolol, and (C) same as B except that heart rate was maintained by atrial pacing.(ABSTRACT TRUNCATED AT 250 WORDS)

Alcoholic cardiomyopathy

Clinical observations over the past two decades have pointed to the relationship between heart disease and alcohol abuse, usually without evident malnutrition or cirrhosis. While the prevalence of heart failure in the alcoholic population is now known, subclinical abnormalities of left ventricular function in noncardiac alcoholics who were normotensive have a high prevalence with or without some degree of ventricular hypertrophy by echocardiogram. This is frequently a diastolic rather than systolic abnormality. Congestive cardiomyopathy is not infrequently associated with high diastolic arterial blood pressures. Intoxication itself may contribute to blood pressure elevation. Angina pectoris in the absence of significant coronary disease is another presentation. Although the history may not be readily obtained, the major diagnostic feature in this entity is the history of ethanol ingestion in intoxicating amounts for at least 10 years, often marked by periods of spree drinking. While the course of congestive cardiomyopathy may be progressively downhill in individuals who continue to be actively alcoholic after the onset of heart failure, in one series one third of the patients became abstinent. These patients had a 4 year mortality that was persistently one-sixth of the alcoholic group. Management of heart failure is traditional in these patients. Atrial arrhythmias have been shown to occur during the early ethanol withdrawal phase in patients without other clinical evidence of heart disease. Sudden death in a segment of the alcoholic population is considered arrhythmia related and is commonly associated with cigarette use. Identification of the addicted individual is the essential element to management.

Myocardial inositol and sodium in diabetes

Although inhibition of Na(+)-K+ ATPase has been described in the diabetic heart, K+ loss from myocardium has not been observed in a canine model of mild diabetes. The finding of tissue Na+ accumulation and a potential relation to alteration of left ventricular inositol as observed in other tissues in diabetes form the basis of this investigation. Diabetes was induced with alloxan in three groups of male mongrel dogs who were studied after 1 yr. In the initial experiment the tissue compartment volumes, determined with intravenous 51Cr EDTA as a marker, were found to be normal. Calculated cell sodium was increased to 32.8 +/- 2.6 mEq/kg cell H2O vs 18.7 +/- 1.1 in controls (p < 0.01). Cell potassium in diabetes was normal. In the second group, myocardial polyols were analyzed by gas-liquid chromatography. Inositol was diminished in diabetes to 0.61 +/- 23 microM/g of left ventricle, vs the respective control levels of 1.9 +/- 0.57 microM/g (p < 0.02). Sorbitol concentration was unaltered. Left ventricular sodium increments were not associated with altered tissue calcium. In group III the hypothesis that inhibition of Na(+)-K+ ATPase in diabetes might not elicit the expected alteration of K+ transport was assessed during intracoronary infusion of acetyl strophanthidin. No difference in cation responses from control was observed. It is postulated that a change in the conformation of Na(+)-K+ ATPase, with high affinity sodium binding sites facing the intracellular compartment, may render sodium less releasable from cell membrane.

Increased ventricular vulnerability in a chronic ethanol model despite reduced electrophysiologic responses to catecholamines

An increased incidence of sudden death has been reported in chronic alcoholism. To assess electrical vulnerability of the heart, action potential responses, and the role of the sympathetic system, a well-nourished canine model has been studied intact under chloralose anesthesia after 1 year of ethanol consumption at 36% of caloric intake. Two alcoholic groups were compared with controls (Group 1). In Group 2 myocardial vulnerability was assessed after chronic EtOH and superimposed acute administration. In Group 3 basal vulnerability was related to circulating norepinephrine and release of neurohormone from the myocardium. Subsequently the responsiveness to catecholamine infusion was determined. To assess vulnerability an electrode catheter was placed in the right ventricular apex. The basal ventricular fibrillation threshold (VFT) was reduced to 27 +/- 3 ma in Group 2 versus 43 +/- 1.0 in Group 1. Acute infusion of ethanol in Group 2 further reduced the threshold. Group 3 had a reduced basal VFT. Baseline arterial plasma levels of norepinephrine were 8-fold higher and coronary venous levels 13 times higher in the alcoholic group than in Group 1. However, VFT was not responsive to infused epinephrine, compared with Group 1 controls. In vitro study of superfused ventricular tissue from Group 3 revealed that basal action potential amplitude, overshoot, and resting potential were comparable with normals. Basal repolarization time (90%) was 198 +/- 12 msec in Group 3 versus 215 +/- 6 msec in Group 1 (p less than 0.05). After acute EtOH, repolarization time was shortened to 170 +/- 8.6 in Group 1 at 90 mg% ethanol (p less than 0.002), with minimal further change up to 280 mg%.(ABSTRACT TRUNCATED AT 250 WORDS)

Alcohol-induced brain changes in dogs

We studied the neuropathologic effects of chronic alcohol ingestion on the brains of healthy, well-nourished, male mongrel dogs. Five experimental dogs were provided 36% of their calories as ethyl alcohol for 1 year. Following killing, their brains were weighed, photographed, sectioned, and processed for computerized morphometric determinations of ventricular size, cortical thickness, and neocortical neuron and glial cell populations. Compared with a similarly handled control group, the alcoholic dog brains showed lateral ventricular enlargement, cortical thinning in the temporal lobe only, and fewer glial cells in the temporal and frontal cortices. There were no statistically significant differences between the alcoholic and control groups in brain weight, frontal or parietal cortical thickness, or neocortical neuron populations. These results imply a disproportionate vulnerability of white matter to the damaging effects of alcohol with consequent lateral ventricular enlargement, and some regional variation in neocortical susceptibility to alcohol-induced cortical thinning and glial cell loss. In general, such changes are consistent with those described in neuroradiologic imaging studies of human alcoholics.

Alcohol and the cardiovascular system

Ethanol has long been recognized as a toxic agent that has acute and chronic effects on cerebral and hepatic function. Over the past two decades important influences on the cardiovascular system have been either rediscovered or observed for the first time. The combined use of tobacco cigarettes and alcohol appears to increase the risk of many of these clinical abnormalities. While many individuals addicted to ethanol have subclinical abnormalities of the heart, somewhat less than a majority develop symptomatic cardiac problems. These include heart failure and arrhythmias. In addition to supraventricular arrhythmias that often normalize spontaneously, there is an increased incidence of sudden death that peaks at about 50 years of age in the alcoholic population. A significant degree of blood pressure elevation occurs in individuals who abuse alcohol. This appears to be transient and is normalized in most individuals during abstinence. The increased incidence of hemorrhagic and nonhemorrhagic stroke in middle age also appears to decline when alcohol abuse is interrupted. A preventive effect of mild to moderate drinking on coronary artery disease is, at present, equivocal, largely due to the question of appropriate controls.

Cardiac disease in diabetes

The current approach to cardiac disease recognizes that the cardiovascular problems of diabetic patients have both a coronary artery atherosclerotic component and an independent myocardial component. The presence of the myocardial component has become more apparent in recent years, and a full understanding of the balance between the two components is necessary for proper treatment of the cardiac problems of patients with diabetes.

Cardiac disease in the older diabetic: management considerations

A number of experimental and clinical studies have indicated that the process of aging and diabetes mellitus may result in alterations of cardiac function and composition. These appear to be independent of myocardial ischemia. Left ventricular diastolic compliance is diminished in both situations associated with interstitial collagen accumulation. There is also a reduction in the relaxation rate of the ventricle. In the subclinical state, the aged heart cell undergoes enlargement, but this has not been described in diabetes. In an unknown portion of patients with subclinical abnormalities, the process may advance to abnormalities of systolic function, heart failure, and arrhythmias. There is no convincing evidence that intramural small vessel disease can account for the diffuse cardiomyopathy of these two states. Management requires a particularly cautious use of cardioactive agents.

Relation of growth hormone and myocardial collagen accumulation in experimental diabetes

A pathogenic role of growth hormone in the tissue complications of diabetes has been postulated. Because collagen has been found to accumulate in myocardial interstitium in diabetes, we have undertaken a study of the relationship of plasma growth hormone levels to collagen accumulation in a canine model of chronic diabetes. Sedentary normal animals and diabetic animals were compared respectively with physically conditioned animals in which the collagen increment associated with diabetes was minimized. Basal growth hormone levels as well as increments induced by hormone release after clonidine have been related to the myocardial alteration. Myocardial collagen concentration was increased to 2.94 +/- 0.11 micrograms/mg dry weight in the sedentary diabetic animals vs. 1.97 +/- 0.07 micrograms/mg dry weight in sedentary normals (P less than 0.01), but was normal in the exercised diabetic animals after 1 year. However, levels of growth hormone in the basal state were similar in all four groups. After provocative stimulation with clonidine in the normals there was a progressive rise of growth hormone levels that was similar in the sedentary and physically conditioned animals. The diabetic groups exhibited a rise of plasma growth hormone that was not significantly higher in the nonexercised animals. Moreover the peak levels of growth hormone after clonidine were comparable. The data suggest that collagen accumulation in diabetic myocardium does not appear to be dependent on increased plasma levels of growth hormone, but a role for enhanced sensitivity to hormonal action is not excluded.

Arrhythmia susceptibility and myocardial composition in diabetes. Influence of physical conditioning

Abnormal myocardial composition in diabetes mellitus has been described, but the effects on ventricular vulnerability have not been defined. We have assessed the susceptibility to arrhythmias in a canine model after 1 yr of mild diabetes induced by alloxan. Since physical conditioning can affect metabolic abnormalities in diabetes, this intervention has also been evaluated. Group 1 served as controls and groups 3 and 4 were diabetic. Animals in the latter group as well as nondiabetic controls of group 2 were exercised on a treadmill for the last 8 mo of the experiment. After 1 yr, anesthesia was induced with chloralose for vulnerability studies. The ventricular fibrillation threshold of 24.4 +/- 1.9 mA in group 3 was significantly less than in normals (45.1 +/- 2.2). Spontaneous arrhythmias were also more prevalent in diabetics during acute ischemia (group 3-A). Increased ventricular vulnerability after epinephrine infusion was present in the sedentary diabetes despite normal ventricular function responsiveness. In a superfused preparation of myocardium, resting membrane potential and action potential amplitude were normal in diabetics, and beta-adrenergic stimulation shortened repolarization more than in controls. Myocardial collagen concentrations, which included an interfibrillar distribution on morphologic examination, were increased in group 3. In the trained diabetics of group 4 the basal vulnerability thresholds and responses to epinephrine were normal. While myocardial collagen levels were normal, cholesterol and triglyceride increments persisted. Thus, in mild experimental diabetes, enhanced susceptibility to arrhythmias exists; this susceptibility may be based on a combination of nonhomogenous collagen accumulation affecting local conduction and increased electrophysiologic sensitivity to catecholamines.

Interaction of chronic cigarette and ethanol use on myocardium

Chronic cigarette use is common in persons who habitually use other cardioactive agents that have been causally associated with heart disease. This study was undertaken to determine if cigarette use intensifies the abnormalities of myocardial function and composition observed in experimental alcoholism over an 18-month period. Young adult male beagles with tracheostomy were divided into four groups. There were 10 controls (group 1); 9 smoked seven cigarettes per day (group 2); 7 were fed ethanol as 20% of calories (group 3), and 6 received both ethanol and cigarettes (group 4). After a period of 18 months, left ventricular function was assessed under anesthesia. Heart rate, left ventricular end-diastolic pressures, and volumes (indicator dilution) did not differ in the four groups. An index of contractility derived by normalizing peak dP/dt for pre- and afterload was reduced significantly below the level of 2.41 +/- 0.7 cm/s in controls to 1.41 +/- 0.35 in group 2, 1.19 +/- 0.38 in group 3, and 1.28 +/- 0.17 in the ethanol cigarette group (each p less than 0.002). Arterial pressures were moderately elevated above group 1 in all three experimental groups without evidence of left ventricular hypertrophy. In contrast to smoking, which elicited no abnormalities of myocardial cation composition, ethanol reduced myocardial potassium and sodium in group 3 without a gain of water content. In group 4, no further decline of tissue cations was observed. Thus, cigarette use when combined with ethanol over a relatively long period produced no greater myocardial abnormalities than ethanol alone and may not be essential to the genesis of cardiomyopathy in alcoholics.