Characterization of the interaction between local cerebral metabolic rate for glucose and acid-base index in ischemic rat brain employing a double-isotope methodology

Kathryn Elaine Hickman Peek, The University of Texas Graduate School of Biomedical Sciences at Houston

Abstract

The association between increases in cerebral glucose metabolism and the development of acidosis is largely inferential, based on reports linking hyperglycemia with poor neurological outcome, lactate accumulation, and the severity of acidosis. We measured local cerebral metabolic rate for glucose (lCMRglc) and an index of brain pH--the acid-base index (ABI)--concurrently and characterized their interaction in a model of focal cerebral ischemia in rats in a double-label autoradiographic study, using ($\sp{14}$C) 2-deoxyglucose and ($\sp{14}$C) dimethyloxazolidinedione. Computer-assisted digitization and analysis permitted the simultaneous quantification of the two variables on a pixel-by-pixel basis in the same brain slices. Hemispheres ipsilateral to tamponade-induced middle cerebral occlusion showed areas of normal, depressed and elevated glucose metabolic rate (as defined by an interhemispheric asymmetry index) after two hours of ischemia. Regions of normal glucose metabolic rate showed normal ABI (pH $\pm$ SD = 6.97 $\pm$ 0.09), regions of depressed lCMRglc showed severe acidosis (6.69 $\pm$ 0.14), and regions of elevated lCMRglc showed moderate acidosis (6.88 $\pm$ 0.10), all significantly different at the.00125 level as shown by analysis of variance. Moderate acidosis in regions of increased lCMRglc suggests that anaerobic glycolysis causes excess protons to be generated by the uncoupling of ATP synthesis and hydrolysis.

Subject Area

Neurology

Recommended Citation

Peek, Kathryn Elaine Hickman, "Characterization of the interaction between local cerebral metabolic rate for glucose and acid-base index in ischemic rat brain employing a double-isotope methodology" (1988). Texas Medical Center Dissertations (via ProQuest). AAI8826290.
https://digitalcommons.library.tmc.edu/dissertations/AAI8826290

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