Normative Interlimb Impedance Ratios: Implications for Early Diagnosis of Uni- and Bilateral, Upper and Lower Limb Lymphedema.

Background: Bioimpedance spectroscopy detects unilateral lymphedema if the ratio of extracellular fluid (ECF) between arms or between legs is outside three standard deviations (SDs) of the normative mean. Detection of bilateral lymphedema, common after bilateral breast or gynecological cancer, is complicated by the unavailability of an unaffected contralateral limb. The objectives of this work were to (1) present normative values for interarm, interleg, and arm-to-leg impedance ratios of ECF and ECF normalized to intracellular fluid (ECF/ICF); (2) evaluate the influence of sex, age, and body mass index on ratios; and (3) describe the normal change in ratios within healthy individuals over time. Methods: Data from five studies were combined to generate a normative data set (n = 808) from which mean and SD were calculated for interarm, interleg, and arm-to-leg ratios of ECF and ECF/ICF. The influence of sex, age, and body mass index was evaluated using multiple linear regression, and normative change was calculated for participants with repeated measures by subtracting their lowest ratio from their highest ratio. Results: Mean (SD) interarm, interleg, dominant arm-to-leg, and nondominant arm-to-leg ratios were 0.987 (0.067), 1.005 (0.072), 1.129 (0.160), and 1.165 (0.174) for ECF ratios; and 0.957 (0.188), 1.024 (0.183), 1.194 (0.453), and 1.117 (0.367) for ECF/ICF ratios, respectively. Arm-to-leg ratios were significantly affected by sex, age, and body mass index. Mean normative change ranged from 7.2% to 14.7% for ECF ratios and from 14.7% to 67.1% for ECF/ICF ratios. Conclusion: These findings provide the necessary platform for extending bioimpedance-based screening beyond unilateral lymphedema.

Monitoring intracellular nanomolar calcium using fluorescence lifetime imaging.

Nanomolar-range fluctuations of intracellular [Ca2+] are critical for brain cell function but remain difficult to measure. We have advanced a microscopy technique to monitor intracellular [Ca2+] in individual cells in acute brain slices (also applicable in vivo) using fluorescence lifetime imaging (FLIM) of the Ca2+-sensitive fluorescent indicator Oregon Green BAPTA1 (OGB-1). The OGB-1 fluorescence lifetime is sensitive to [Ca2+] within the 10-500 nM range but not to other factors such as viscosity, temperature, or pH. This protocol describes the requirements, setup, and calibration of the FLIM system required for OGB-1 imaging. We provide a step-by-step procedure for whole-cell OGB-1 loading and two-photon FLIM. We also describe how to analyze the obtained FLIM data using total photon count and gated-intensity record, a ratiometric photon-counting approach that provides a highly improved signal-to-noise ratio and greater sensitivity of absolute [Ca2+] readout. We demonstrate our technique in nerve cells in situ, and it is adaptable to other cell types and fluorescent indicators. This protocol requires a basic understanding of FLIM and experience in single-cell electrophysiology and cell imaging. Setting up the FLIM system takes ∼2 d, and OGB-1 loading, imaging, and data analysis take 2 d.

Metabolic networks in motion: 13C-based flux analysis.

Many properties of complex networks cannot be understood from monitoring the components--not even when comprehensively monitoring all protein or metabolite concentrations--unless such information is connected and integrated through mathematical models. The reason is that static component concentrations, albeit extremely informative, do not contain functional information per se. The functional behavior of a network emerges only through the nonlinear gene, protein, and metabolite interactions across multiple metabolic and regulatory layers. I argue here that intracellular reaction rates are the functional end points of these interactions in metabolic networks, hence are highly relevant for systems biology. Methods for experimental determination of metabolic fluxes differ fundamentally from component concentration measurements; that is, intracellular reaction rates cannot be detected directly, but must be estimated through computer model-based interpretation of stable isotope patterns in products of metabolism.

Rapid detection of protein aggregates in the brains of Alzheimer patients and transgenic mouse models of amyloidosis.

Extracellular and/or intracellular aggregates are pathological features of many, if not all, neurodegenerative diseases. In Alzheimer disease (AD), extracellular aggregates of beta-amyloid (Abeta) and intracellular aggregates of tau or a-synuclein are key diagnostic markers of the disease. We report here a method to rapidly detect these protein aggregates that relies on size exclusion filtration and immunostaining of trapped material, a method termed filter trapping. We demonstrate that aggregated forms of Abeta and tau are readily trapped in 0.22 microm cellulose acetate filter membranes, which can then be immunostained with specific antibodies in a manner similar to the standard immunoblot. Coupling this method with serial dilution permits a rapid assessment of relative aggregate burden.