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K L Thomas

Publications and source records attributed to K L Thomas.

39 records · Page 3Linked to original sources

Alterations in the expression of specific glutamate receptor subunits following hippocampal LTP in vivo.

Quantitative in situ hybridization revealed that following the induction of hippocampal long-term potentiation (LTP) in the dentate gyrus of freely moving rats, specific increases in the expression of the NR2B subunit of the N-methyl-D-aspartate (NMDA) receptor and mGluR1c, a short splice variant of the metabotropic glutamate receptors that are linked intracellularly to phospholipase C (PLC) and protein kinase C (PKC), were seen in the postsynaptic dentate granule cells. There were no changes in the expression of NR2A; NR2C and NR2D NMDA receptor subunits; or mGluR1a, mGluR1b, mGluR5a, and mGluR5b PLC-associated metabotropic receptors. The elevations in NR2B and mGluR1c mRNA were delayed, occurring days after LTP induction. NR2B expression was enhanced significantly by 48 hr after LTP but was starting to decrease toward basal levels by 96 hr. The transient increase in the expression of NR2B mirrored the increase in the expression of PKC-sensitive isoforms of the NR1 subunits of the NMDA receptor we observed previously (Thomas et al. 1994a). The increase in mGluR1c expression was more persistent, showing a significant increase 96 hr after LTP. This study demonstrates that not only are there changes in the expression of individual glutamate receptor subunits but the increases in their expression occur days after the induction of LTP and may reflect so-called late-onset genes that may be important for the maintenance of LTP.

Animals↗

An expert system for the diagnosis of epilepsy: results of a clinical trial.

BACKGROUND: Artificial intelligence is an area where computer systems are used to solve real-life problems that require expert human intelligence. Expert systems serve as an effective alternative to supplement the dearth of human experts in a narrow domain of applications. We developed an expert system named SEIZ using DIAGNOS (an expert system shell for diagnostic applications) for the diagnosis and management of epilepsy. METHODS: A clinical trial was done to test the reliability of SEIZ. The clinical and demographic data from the medical records of 50 patients with epilepsy who attended an epilepsy clinic were provided to the expert system. The system-generated diagnosis was compared with the clinical diagnosis. RESULTS: The seizure types and epileptic syndromes for the 50 patients included generalized -tonic-clonic seizure (14), absence (4), complex partial seizure (18), simple partial seizure (4), juvenile myoclonic epilepsy (5) and other epileptic syndromes (3). There were two cases of hysterical conversion reaction. There was concordance in the diagnosis between the expert system and clinician in 47 cases (94%). The overall sensitivity was 94% and the specificity was 100% for absence, generalized tonic-clonic seizures, simple partial seizures and juvenile myoclonic epilepsy; 94% for complex partial seizures and 98% for hysterical conversion reaction. CONCLUSION: This expert system could generate reliable diagnoses for patients with epilepsy. Such a system may be useful for a doctor in a remote or peripheral area where an expert on epilepsy is not available.

Adult↗