title: Diminished trkA receptor signaling reveals cholinergic-attentional vulnerability of aging.
abstract: The cellular mechanisms underlying the exceptional vulnerability of the basal forebrain (BF) cholinergic neurons during pathological aging have remained elusive. Here we employed an adeno-associated viral vector-based RNA interference (AAV-RNAi) strategy to suppress the expression of tropomyosin-related kinase A (trkA) receptors by cholinergic neurons in the nucleus basalis of Meynert/substantia innominata (nMB/SI) of adult and aged rats. Suppression of trkA receptor expression impaired attentional performance selectively in aged rats. Performance correlated with trkA levels in the nMB/SI. trkA knockdown neither affected nMB/SI cholinergic cell counts nor the decrease in cholinergic cell size observed in aged rats. However, trkA suppression augmented an age-related decrease in the density of cortical cholinergic processes and attenuated the capacity of cholinergic neurons to release acetylcholine (ACh). The capacity of cortical synapses to release ACh in vivo was also lower in aged/trkA-AAV-infused rats than in aged or young controls, and it correlated with their attentional performance. Furthermore, age-related increases in cortical proNGF and p75 receptor levels interacted with the vector-induced loss of trkA receptors to shift NGF signaling toward p75-mediated suppression of the cholinergic phenotype, thereby attenuating cholinergic function and impairing attentional performance. These effects model the abnormal trophic regulation of cholinergic neurons and cognitive impairments in patients with early Alzheimer's disease. This rat model is useful for identifying the mechanisms rendering aging cholinergic neurons vulnerable as well as for studying the neuropathological mechanisms that are triggered by disrupted trophic signaling.
authors.affiliation: Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, USA.
authors.forename: Vinay
authors.initials: V
authors.lastname: Parikh
authors.forename: William M
authors.initials: WM
authors.lastname: Howe
authors.forename: Ryan M
authors.initials: RM
authors.lastname: Welchko
authors.forename: Sean X
authors.initials: SX
authors.lastname: Naughton
authors.forename: Drew E
authors.initials: DE
authors.lastname: D'Amore
authors.forename: Daniel H
authors.initials: DH
authors.lastname: Han
authors.forename: Monika
authors.initials: M
authors.lastname: Deo
authors.forename: David L
authors.initials: DL
authors.lastname: Turner
authors.forename: Martin
authors.initials: M
authors.lastname: Sarter
mesh_terms: D000109:Acetylcholine / Q000378:metabolism*; D000367:Age Factors; D000375:Aging / Q000502:physiology*; D000818:Animals; D001288:Attention; D001479:Basal Ganglia / Q000378:metabolism / Q000502:physiology; D059329:Cholinergic Neurons / Q000378:metabolism*; D000229:Dependovirus / Q000235:genetics; D005822:Genetic Vectors; D008297:Male; D009414:Nerve Growth Factors / Q000235:genetics / Q000378:metabolism; D009419:Nerve Tissue Proteins; D016716:PC12 Cells; D011498:Protein Precursors / Q000235:genetics / Q000378:metabolism; D034741:RNA, Small Interfering; D051381:Rats; D017208:Rats, Wistar; D020917:Receptor, trkA / Q000235:genetics / Q000378:metabolism*; D017978:Receptors, Growth Factor; D017475:Receptors, Nerve Growth Factor / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction; D013569:Synapses / Q000378:metabolism; D014158:Transcription, Genetic
chemical_list: D009414:Nerve Growth Factors; D009419:Nerve Tissue Proteins; D011498:Protein Precursors; D034741:RNA, Small Interfering; D017978:Receptors, Growth Factor; D017475:Receptors, Nerve Growth Factor; C514218:pro-nerve growth factor, rat; C068313:Ngfr protein, rat; D020917:Receptor, trkA; D000109:Acetylcholine