@article{SimonRauskolbGunnersenetal.2015, author = {Simon, Christian M. and Rauskolb, Stefanie and Gunnersen, Jennifer M. and Holtmann, Bettina and Drepper, Carsten and Dombert, Benjamin and Braga, Massimiliano and Wiese, Stefan and Jablonka, Sibylle and P{\"u}hringer, Dirk and Zielasek, J{\"u}rgen and Hoeflich, Andreas and Silani, Vincenzo and Wolf, Eckhard and Kneitz, Susanne and Sommer, Claudia and Toyka, Klaus V. and Sendtner, Michael}, title = {Dysregulated IGFBP5 expression causes axon degeneration and motoneuron loss in diabetic neuropathy}, series = {Acta Neuropathologica}, volume = {130}, journal = {Acta Neuropathologica}, doi = {10.1007/s00401-015-1446-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-154569}, pages = {373 -- 387}, year = {2015}, abstract = {Diabetic neuropathy (DNP), afflicting sensory and motor nerve fibers, is a major complication in diabetes.The underlying cellular mechanisms of axon degeneration are poorly understood. IGFBP5, an inhibitory binding protein for insulin-like growth factor 1 (IGF1) is highly up-regulated in nerve biopsies of patients with DNP. We investigated the pathogenic relevance of this finding in transgenic mice overexpressing IGFBP5 in motor axons and sensory nerve fibers. These mice develop motor axonopathy and sensory deficits similar to those seen in DNP. Motor axon degeneration was also observed in mice in which the IGF1 receptor(IGF1R) was conditionally depleted in motoneurons, indicating that reduced activity of IGF1 on IGF1R in motoneurons is responsible for the observed effect. These data provide evidence that elevated expression of IGFBP5 in diabetic nerves reduces the availability of IGF1 for IGF1R on motor axons, thus leading to progressive neurodegeneration. Inhibition of IGFBP5 could thus offer novel treatment strategies for DNP.}, language = {en} } @article{HaberstumpfForsterLeinweberetal.2022, author = {Haberstumpf, Sophia and Forster, Andr{\´e} and Leinweber, Jonas and Rauskolb, Stefanie and Hewig, Johannes and Sendtner, Michael and Lauer, Martin and Polak, Thomas and Deckert, J{\"u}rgen and Herrmann, Martin J.}, title = {Measurement invariance testing of longitudinal neuropsychiatric test scores distinguishes pathological from normative cognitive decline and highlights its potential in early detection research}, series = {Journal of Neuropsychology}, volume = {16}, journal = {Journal of Neuropsychology}, number = {2}, doi = {10.1111/jnp.12269}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-318932}, pages = {324 -- 352}, year = {2022}, abstract = {Objective Alzheimer's disease (AD) is a growing challenge worldwide, which is why the search for early-onset predictors must be focused as soon as possible. Longitudinal studies that investigate courses of neuropsychological and other variables screen for such predictors correlated to mild cognitive impairment (MCI). However, one often neglected issue in analyses of such studies is measurement invariance (MI), which is often assumed but not tested for. This study uses the absence of MI (non-MI) and latent factor scores instead of composite variables to assess properties of cognitive domains, compensation mechanisms, and their predictability to establish a method for a more comprehensive understanding of pathological cognitive decline. Methods An exploratory factor analysis (EFA) and a set of increasingly restricted confirmatory factor analyses (CFAs) were conducted to find latent factors, compared them with the composite approach, and to test for longitudinal (partial-)MI in a neuropsychiatric test battery, consisting of 14 test variables. A total of 330 elderly (mean age: 73.78 ± 1.52 years at baseline) were analyzed two times (3 years apart). Results EFA revealed a four-factor model representing declarative memory, attention, working memory, and visual-spatial processing. Based on CFA, an accurate model was estimated across both measurement timepoints. Partial non-MI was found for parameters such as loadings, test- and latent factor intercepts as well as latent factor variances. The latent factor approach was preferable to the composite approach. Conclusion The overall assessment of non-MI latent factors may pose a possible target for this field of research. Hence, the non-MI of variances indicated variables that are especially suited for the prediction of pathological cognitive decline, while non-MI of intercepts indicated general aging-related decline. As a result, the sole assessment of MI may help distinguish pathological from normative aging processes and additionally may reveal compensatory neuropsychological mechanisms.}, language = {en} }