Giant axonal neuropathy–associated gigaxonin mutations impair intermediate filament protein degradation

Author Posting. © American Society for Clinical Investigation, 2013. This article is posted here by permission of American Society for Clinical Investigation for personal use, not for redistribution. The definitive version was published in Journal of Clinical Investigation 123 (2013): 1964–1975, doi:10.1172/JCI66387.Giant axonal neuropathy (GAN) is an early-onset neurological disorder caused by mutations in the GAN gene (encoding for gigaxonin), which is predicted to be an E3 ligase adaptor. In GAN, aggregates of intermediate filaments (IFs) represent the main pathological feature detected in neurons and other cell types, including patients’ dermal fibroblasts. The molecular mechanism by which these mutations cause IFs to aggregate is unknown. Using fibroblasts from patients and normal individuals, as well as Gan–/– mice, we demonstrated that gigaxonin was responsible for the degradation of vimentin IFs. Gigaxonin was similarly involved in the degradation of peripherin and neurofilament IF proteins in neurons. Furthermore, proteasome inhibition by MG-132 reversed the clearance of IF proteins in cells overexpressing gigaxonin, demonstrating the involvement of the proteasomal degradation pathway. Together, these findings identify gigaxonin as a major factor in the degradation of cytoskeletal IFs and provide an explanation for IF aggregate accumulation, the subcellular hallmark of this devastating human disease.This work was supported by NIH grants 1P01GM096971 (to R.D. Goldman) and R01 NS062051 (to P. Opal) and a grant from Hannah’s Hope Fund (to R.D. Goldman and P. Opal)

POTs: Protective Optimization Technologies

Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers. Fairness frameworks do so, in part, by mapping these problems to a narrow definition and assuming the service providers can be trusted to deploy countermeasures. Not surprisingly, these decisions limit fairness frameworks' ability to capture a variety of harms caused by systems. We characterize fairness limitations using concepts from requirements engineering and from social sciences. We show that the focus on algorithms' inputs and outputs misses harms that arise from systems interacting with the world; that the focus on bias and discrimination omits broader harms on populations and their environments; and that relying on service providers excludes scenarios where they are not cooperative or intentionally adversarial. We propose Protective Optimization Technologies (POTs). POTs provide means for affected parties to address the negative impacts of systems in the environment, expanding avenues for political contestation. POTs intervene from outside the system, do not require service providers to cooperate, and can serve to correct, shift, or expose harms that systems impose on populations and their environments. We illustrate the potential and limitations of POTs in two case studies: countering road congestion caused by traffic-beating applications, and recalibrating credit scoring for loan applicants.Comment: Appears in Conference on Fairness, Accountability, and Transparency (FAT* 2020). Bogdan Kulynych and Rebekah Overdorf contributed equally to this work. Version v1/v2 by Seda G\"urses, Rebekah Overdorf, and Ero Balsa was presented at HotPETS 2018 and at PiMLAI 201

Applicability of a short/rapid 13C-urea breath test for Helicobacter pylori: retrospective multicenter chart review study

<p>Abstract</p> <p>Background</p> <p>Carbon labeled urea breath tests usually entail a two point sampling with a 20 to 30-minute gap. Our aim was to evaluate the duration of time needed for diagnosing <it>Helicobacter pylori </it>by the BreathID^®System.</p> <p>Methods</p> <p>This is a retrospective multicenter chart review study. Test location, date, delta over baseline, and duration of the entire test were recorded. Consecutively ¹³C urea breath tests results were extracted from the files over a nine year period.</p> <p>Results</p> <p>Of the 12,791 tests results, 35.1% were positively diagnosed and only 0.1% were inconclusive. A statistically significant difference in prevalence among the countries was found: Germany showing the lowest, 13.3%, and Israel the highest, 44.1%. Significant differences were found in time to diagnosis: a positive diagnosis had the shortest and an inconclusive result had the longest. Overall test duration averaged 15.1 minutes in Germany versus approximately 13 minutes in other countries. Diagnosis was achieved after approximately 9 minutes in Israel, Italy and Switzerland, but after 10 on average in the others. The mean delta over baseline value for a negative diagnosis was 1.03 ± 0.86, (range, 0.9 - 5), versus 20.2 ± 18.9, (range, 5.1 - 159.4) for a positive one.</p> <p>Conclusions</p> <p>The BreathID^®System used in diagnosing <it>Helicobacter pylori </it>can safely shorten test duration on average of 10-13 minutes without any loss of sensitivity or specificity and with no test lasting more than 21 minutes.</p

α-Synuclein Expression Selectively Affects Tumorigenesis in Mice Modeling Parkinson's Disease

Alpha Synuclein (α-Syn) is a protein implicated in mechanisms of neuronal degeneration in Parkinson's disease (PD). α-Syn is primarily a neuronal protein, however, its expression is found in various tumors including ovarian, colorectal and melanoma tumors. It has been hypothesized that neurodegeneration may share common mechanisms with oncogenesis. We tested whether α-Syn expression affects tumorigenesis of three types of tumors. Specifically, B16 melanoma, E0771 mammary gland adenocarcinoma and D122 Lewis lung carcinoma. For this aim, we utilized transgenic mice expression the human A53T α-Syn form. We found that the in vivo growth of B16 and E0771 but not D122 was enhanced in the A53T α-Syn mice. The effect on tumorigenesis was not detected in age-matched APP/PS1 mice, modeling Alzheimer's disease (AD), suggesting a specific effect for α-Syn- dependent neurodegeneration. Importantly, transgenic α-Syn expression was detected within the three tumor types. We further show uptake of exogenously added, purified α-Syn, by the cultured tumor cells. In accord, with the affected tumorigenesis in the young A53T α-Syn mice, over- expression of α-Syn in cultured B16 and E0771 cells enhanced proliferation, however, had no effect on the proliferation of D122 cells. Based on these results, we suggest that certain forms of α-Syn may selectively accelerate cellular mechanisms leading to cancer

System interdiction and defense

We study the problem of interdicting components of an adversary's system, e.g., a war-time economy, a transportation network, etc. Basic techniques are developed and illustrated with a simple network interdiction problem, "maximizing the shortest path" (MXSP). In MXSP, an interdictor wishes to employ limited interdiction resources as effectively as possible to slow an adversary in moving between two network nodes. "Interdiction" destroys a network arc entirely or increases its effective length through an attack. This bi-level, max-mm problem is formulated as a mixed-integer program (MIP), but unique decomposition algorithms are developed to solve the problem more efficiently than standard branch and bound. One algorithm is essentially Benders decomposition with special integrality cuts for the master problem. A second algorithm uses a new set-covering master problem, and a third is a hybrid of the first two. We extend our techniques (i) to solve general system-interdiction problems, some of which cannot be formulated as is, (ii) to solve system-defense problems where critical system components must be identified and hardened against interdiction, and (iii) to solve interdiction problems with uncertain interdiction success. We report computational experience for MXSP, a shortest- path network-defense problem and MXSP with uncertain interdiction successhttp://www.archive.org/details/systeminterdicti00israMajor, Israeli Air-ForceApproved for public release; distribution is unlimited

Lipid Replacement Therapy: Is it a New Approach in Patients with Chronic Fatigue Syndrome?

Lipid replacement therapy (LRT) is an anti-aging product which reverses age-related changes in the lipid composition of organ and tissue cells. Since membrane lipids oxidation seems to be involved in the pathogenesis of Chronic Fatigue Syndrome (CFS), their substitution with new lipids coming from dietary supplements is speculated to be effective in CFS. We have analyzed some of the most recent articles about the effects of LRT in fatigue, showing the evidences supporting this theory as well as alluding to the weak points of the studies

The Effects of Long Term High Environmental Temperature on Cellular Enzyme Activities from Different Organs

Peer Reviewe

Síndrome autoinmune (autoinflamatorio) inducido por adyuvantes (ASIA): modelos animales como prueba de concepto

ASIA syndrome, “Autoimmune (Auto-inflammatory) Syndromes Induced by Adjuvants” includes at least four conditions which share a similar complex of signs and symptoms and have been defined by hyperactive immune responses: siliconosis, macrophagic myofasciitis syndrome, Gulf war syndrome and post-vaccination phenomena. Exposure to adjuvants has been documented in these four medical conditions, suggesting that the common denominator to these syndromes is a trigger entailing adjuvant activity. An important role of animal models in proving the ASIA concept has been established. Experimentally animal models of autoimmune diseases induced by adjuvants are currently widely used to understand the mechanisms and etiology and pathogenesis of these diseases and might thus promote the development of new diagnostic, predictive and therapeutic methods. In the current review we wish to unveil the variety of ASIA animal models associated with systemic and organ specific autoimmune diseases induced by adjuvants. We included in this review animal models for rheumatoid arthritis-like disease, for systemic lupus erythematosus-like disease, autoimmune thyroid disease-like disease, antiphospholipid syndrome, myocarditis and others. All these models support the concept of ASIA, as the Autoimmune (Auto-inflammatory) Syndrome Induced by Adjuvants