Introduction Under specific conditions, a weak lead stimulus, or "prepulse", can inhibit the startling effects of a subsequent intense abrupt stimulus. This startle-inhibiting effect of the prepulse, termed "prepulse inhibition" (PPI), is widely used in translational models to understand the biology of brain based inhibitory mechanisms and their deficiency in neuropsychiatric disorders. In 1981, four published reports with "prepulse inhibition" as an index term were listed on Medline; over the past 5 years, new published Medline reports with "prepulse inhibition" as an index term have appeared at a rate exceeding once every 2.7 days (n=678). Most of these reports focus on the use of PPI in translational models of impaired sensorimotor gating in schizophrenia. This rapid expansion and broad application of PPI as a tool for understanding schizophrenia has, at times, outpaced critical thinking and falsifiable hypotheses about the relative strengths vs. limitations of this measure. Objectives This review enumerates the realistic expectations for PPI in translational models for schizophrenia research, and provides cautionary notes for the future applications of this important research tool. Conclusion In humans, PPI is not "diagnostic"; levels of PPI do not predict clinical course, specific symptoms, or individual medication responses. In preclinical studies, PPI is valuable for evaluating models or model organisms relevant to schizophrenia, "mapping" neural substrates of deficient PPI in schizophrenia, and advancing the discovery and development of novel therapeutics. Across species, PPI is a reliable, robust quantitative phenotype that is useful for probing the neurobiology and genetics of gating deficits in schizophrenia.
There is a dearth in fundamental cellular-level understanding of how nanoparticles interact with the cells of the blood brain barrier (BBB), particularly under the oxidative environment. The apoptosis of cerebral microvessel endothelial cells (CMECs) induced by oxidative stress injury plays a key role in the dysfunction of BBB. By use of CMECs as an in vitro BBB model, we show for the first time that C(60)(C(COOH)(2))(2) nanoparticles can selectively enter oxidized CMECs rather than normal cells, and maintain CMECs integrity by attenuating H(2)O(2)-induced F-actin depolymerization via the observation of several state-of-the art microscopic techniques. Additionally, we have found that C(60)(C(COOH)(2))(2) nanoparticles greatly inhibit the apoptosis of CMECs induced by H(2)O(2), which is related to their modulation of the JNK pathway. C(60)(C(COOH)(2))(2) nanoparticles can regulate several downstream signaling events related to the JNK pathway, including reduction of JNK phosphorylation, activation of activator protein 1 (AP-1) and caspase-3, and inhibition of polyADP-ribose polymerase (PARP) cleavage and mitochondrial cytochrome c release. Our results indicate that C(60)(C(COOH)(2))(2) nanoparticles possess a novel ability of selectively entering oxidation-damaged cerebral endothelial cells rather than normal endothelial cells and then protecting them from apoptosis.
Regarding the importance of the biological effects of nanomaterials, there is still limited knowledge about the binding structure and stability of the protein corona on nanomaterials and the subsequent impacts. Here we designed a hard serum albumin protein corona (BSA) on CTAB-coated gold nanorods (AuNRs) and captured the structure of protein adsorption using synchrotron radiation X-ray absorption spectroscopy, microbeam X-ray fluorescent spectroscopy, and circular dichroism in combination with molecular dynamics simulations. The protein adsorption is attributed to at least 12 Au-S bonds and the stable corona reduced the cytotoxicity of CTAB/AuNRs. These combined strategies using physical, chemical, and biological approaches will improve our understanding of the protective effects of protein coronas against the toxicity of nanomaterials. These findings have shed light on a new strategy for studying interactions between proteins and nanomaterials, and this information will help further guide the rational design of nanomaterials for safe and effective biomedical applications.
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