Do migrants rob jobs?: new evidence from Australia

This study contributes to the recent debate on immigration and unemployment in Australia by investigating the causal linkage between immigration and unemployment. The question of whether `immigrants rob jobs\u27 is examined by identifying the sources of unemployment through causal linkages between unemployment and other key variables such as immigration. The research finds no Granger causality between immigration and unemployment, but does run from industrial structural change to the high unemployment rate in Australia. This research also finds that both GDP growth and immigration inflow reinforce each other in the course of economic development in Australia

Impaired Cleavage of Preproinsulin Signal Peptide Linked to Autosomal-Dominant Diabetes

Recently, missense mutations upstream of preproinsulin’s signal peptide (SP) cleavage site were reported to cause mutant INS gene-induced diabetes of youth (MIDY). Our objective was to understand the molecular pathogenesis using metabolic labeling and assays of proinsulin export and insulin and C-peptide production to examine the earliest events of insulin biosynthesis, highlighting molecular mechanisms underlying β-cell failure plus a novel strategy that might ameliorate the MIDY syndrome. We find that whereas preproinsulin-A(SP23)S is efficiently cleaved, producing authentic proinsulin and insulin, preproinsulin-A(SP24)D is inefficiently cleaved at an improper site, producing two subpopulations of molecules. Both show impaired oxidative folding and are retained in the endoplasmic reticulum (ER). Preproinsulin-A(SP24)D also blocks ER exit of coexpressed wild-type proinsulin, accounting for its dominant-negative behavior. Upon increased expression of ER–oxidoreductin-1, preproinsulin-A(SP24)D remains blocked but oxidative folding of wild-type proinsulin improves, accelerating its ER export and increasing wild-type insulin production. We conclude that the efficiency of SP cleavage is linked to the oxidation of (pre)proinsulin. In turn, impaired (pre)proinsulin oxidation affects ER export of the mutant as well as that of coexpressed wild-type proinsulin. Improving oxidative folding of wild-type proinsulin may provide a feasible way to rescue insulin production in patients with MIDY

Understanding the Barriers to Hospice Care in Saudi Arabia

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140122/1/jpm.2015.0259.pd

Systems biology approach to identify transcriptome reprogramming and candidate microRNA targets during the progression of polycystic kidney disease

Background: Autosomal dominant polycystic kidney disease (ADPKD) is characterized by cyst formation throughout the kidney parenchyma. It is caused by mutations in either of two genes, $PKD1$ and $PKD2$. Mice that lack functional $Pkd1 (Pkd1^{-/-})$, develop rapidly progressive cystic disease during embryogenesis, and serve as a model to study human ADPKD. Genome wide transcriptome reprogramming and the possible roles of micro-RNAs (miRNAs) that affect the initiation and progression of cyst formation in the $Pkd1^{-/-}$ have yet to be studied. miRNAs are small, regulatory non-coding RNAs, implicated in a wide spectrum of biological processes. Their expression levels are altered in several diseases including kidney cancer, diabetic nephropathy and PKD. Results: We examined the molecular pathways that modulate renal cyst formation and growth in the $Pkd1^{-/-}$ model by performing global gene-expression profiling in embryonic kidneys at days 14.5 and 17.5. Gene Ontology and gene set enrichment analysis were used to identify overrepresented signaling pathways in $Pkd1^{-/-}$ kidneys. We found dysregulation of developmental, metabolic, and signaling pathways (e.g. Wnt, calcium, $TGF-\beta$ and MAPK) in $Pkd^{-/-}$ kidneys. Using a comparative transcriptomics approach, we determined similarities and differences with human ADPKD: ~50% overlap at the pathway level among the mis-regulated pathways was observed. By using computational approaches (TargetScan, miRanda, microT and miRDB), we then predicted miRNAs that were suggested to target the differentially expressed mRNAs. Differential expressions of 9 candidate miRNAs, miRs-10a, -30a-5p, -96, -126-5p, -182, -200a, -204, -429 and -488, and 16 genes were confirmed by qPCR. In addition, 14 candidate miRNA:mRNA reciprocal interactions were predicted. Several of the highly regulated genes and pathways were predicted as targets of miRNAs. Conclusions: We have described global transcriptional reprogramming during the progression of PKD in the $Pkd1^{-/-}$ model. We propose a model for the cascade of signaling events involved in cyst formation and growth. Our results suggest that several miRNAs may be involved in regulating signaling pathways in ADPKD. We further describe novel putative miRNA:mRNA signatures in ADPKD, which will provide additional insights into the pathogenesis of this common genetic disease in humans

Multiplex giant magnetoresistive biosensor microarrays identify interferon-associated autoantibodies in systemic lupus erythematosus.

High titer, class-switched autoantibodies are a hallmark of systemic lupus erythematosus (SLE). Dysregulation of the interferon (IFN) pathway is observed in individuals with active SLE, although the association of specific autoantibodies with chemokine score, a combined measurement of three IFN-regulated chemokines, is not known. To identify autoantibodies associated with chemokine score, we developed giant magnetoresistive (GMR) biosensor microarrays, which allow the parallel measurement of multiple serum antibodies to autoantigens and peptides. We used the microarrays to analyze serum samples from SLE patients and found individuals with high chemokine scores had significantly greater reactivity to 13 autoantigens than individuals with low chemokine scores. Our findings demonstrate that multiple autoantibodies, including antibodies to U1-70K and modified histone H2B tails, are associated with IFN dysregulation in SLE. Further, they show the microarrays are capable of identifying autoantibodies associated with relevant clinical manifestations of SLE, with potential for use as biomarkers in clinical practice

Operations Systems Engineering for the Lunar Flashlight Mission

Lunar Flashlight, a 6U CubeSat developed by NASA\u27s Jet Propulsion Laboratory (JPL) and operated by students at the Georgia Institute of Technology (GT), was launched in December 2022 with a mission to demonstrate novel small satellite technologies, including a first-of-its-kind green monopropellant system, and to map surface water ice in permanently shadowed regions of the lunar south pole using near-infrared laser reflectometry. As operations systems engineers, the GT team has maintained, developed, and refined models of spacecraft subsystems as well as coordinated the project\u27s approach to anomaly response and fault protection. This paper reports how analysis of flight data and post-launch experiences have allowed the team to make more efficient use of the spacecraft\u27s capabilities by taking advantage of margins, synthesizing data, and adapting flight rules and constraints. In-flight anomalies have required substantial rework of the mission\u27s concept of operations, and anomaly management and resolution has leaned heavily on modeling and predictions from the operations systems engineers. The GT operations team has made full use of available data, including telemetry and observed system behavior, to swiftly recognize and address anomalies, support strenuous recovery efforts, and make possible a realignment of the concept of operations despite significant challenges

Cost‐effectiveness analysis of low‐dose direct oral anticoagulant (DOAC) for the prevention of cancer‐associated thrombosis in the United States

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154607/1/cncr32724.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154607/2/cncr32724_am.pd

Failure to ubiquitinate c-Met Leads to Hyperactivation of mTOR Signaling in a Mouse Model of Autosomal Dominant Polycystic Kidney Disease

Autosomal dominant polycystic kidney disease (ADPKD) is a common inherited disorder that is caused by mutations at two loci, polycystin 1 (PKD1) and polycystin 2 (PKD2). It is characterized by the formation of multiple cysts in the kidneys that can lead to chronic renal failure. Previous studies have suggested a role for hyperactivation of mammalian target of rapamycin (mTOR) in cystogenesis, but the etiology of mTOR hyperactivation has not been fully elucidated. In this report we have shown that mTOR is hyperactivated. in Pkd1-null mouse cells due to failure of the HGF receptor c-Met to be properly ubiquitinated and subsequently degraded after stimulation by HGF. In Pkd1-null cells, Casitas B-lineage lymphoma (c-Cb1), an E3-ubiquitin ligase for c-Met, was sequestered in the Golgi apparatus with alpha(3)beta(1) integrin, resulting in the inability to ubiquitinate c-Met. Treatment of mouse Pkd1-null cystic kidneys in organ culture with a c-Met pharmacological inhibitor resulted in inhibition of mTOR activity and blocked cystogenesis in this mouse model of ADPKD. We therefore suggest that blockade of c-Met is a potential novel therapeutic approach to the treatment of ADPKD

Review of factors resulting in systemic biases in the screening, assessment, and treatment of individuals at clinical high-risk for psychosis in the United States

BACKGROUND: Since its inception, research in the clinical high-risk (CHR) phase of psychosis has included identifying and exploring the impact of relevant socio-demographic factors. Employing a narrative review approach and highlighting work from the United States, sociocultural and contextual factors potentially affecting the screening, assessment, and service utilization of youth at CHR were reviewed from the current literature. RESULTS: Existing literature suggests that contextual factors impact the predictive performance of widely used psychosis-risk screening tools and may introduce systemic bias and challenges to differential diagnosis in clinical assessment. Factors reviewed include racialized identity, discrimination, neighborhood context, trauma, immigration status, gender identity, sexual orientation, and age. Furthermore, racialized identity and traumatic experiences appear related to symptom severity and service utilization among this population. CONCLUSIONS: Collectively, a growing body of research from the United States and beyond suggests that considering context in psychosis-risk assessment can provide a more accurate appraisal of the nature of risk for psychosis, render more accurate results improving the field\u27s prediction of conversion to psychosis, and enhance our understanding of psychosis-risk trajectories. More work is needed in the U.S. and across the globe to uncover how structural racism and systemic biases impact screening, assessment, treatment, and clinical and functional outcomes for those at CHR

Density-Matrix Renormalization-Group Analysis of Quantum Critical Points: I. Quantum Spin Chains

We present a simple method, combining the density-matrix renormalization-group (DMRG) algorithm with finite-size scaling, which permits the study of critical behavior in quantum spin chains. Spin moments and dimerization are induced by boundary conditions at the chain ends and these exhibit power-law decay at critical points. Results are presented for the spin-1/2 Heisenberg antiferromagnet; an analytic calculation shows that logarithmic corrections to scaling can sometimes be avoided. We also examine the spin-1 chain at the critical point separating the Haldane gap and dimerized phases. Exponents for the dimer-dimer and the spin-spin correlation functions are consistent with results obtained from bosonization.Comment: 21 pages, 12 figures, new results and added references, to appear in PR