In vitro NIH3T3 mouse embryonic fibroblast cell model does not predict AAV2 or AAVdj-mediated cell transformation.

One of the potential risk factors of recombinant adeno-associated virus (rAAV)-based gene therapy is insertional mutagenesis, which has been associated with the development of hepatocellular carcinoma (HCC) in rAAV-treated neonatal mice. The objective of this study was to investigate if well-established in vitro cell transformation assays (CTA) in mouse cell lines can detect AAV2 or AAVdj-mediated cell transformation. Since AAV integration at the Rian locus in neonatal mice has been implicated in AAV-mediated HCC, an rAAV vector specifically targeting the mouse Rian locus and an additional rAAV vector previously shown to cause HCC in neonatal mice were both tested for the induction of cell transformation in NIH3T3 cells.

Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke.

Biomechanical gait impairments, such as reduced paretic propulsion, are common post-stroke. Studies have used biofeedback to increase paretic propulsion and reduce propulsion asymmetry, but it is unclear if these changes impact overall gait asymmetry. There is an implicit assumption that reducing propulsion asymmetry will improve overall gait symmetry, as paretic propulsion has been related to numerous biomechanical impairments.

Broad Range Tuning of InAs Quantum Dot Emission for Nanophotonic Devices in the Telecommunication Bands.

InAs semiconductor quantum dots (QDs) emitting in the near-infrared are promising platforms for on-demand single-photon sources and spin-photon interfaces. However, the realization of quantum-photonic nanodevices emitting in the telecom windows with similar performance remains an open challenge. In particular, nanophotonic devices incorporating quantum light emitting diodes in the telecom C-band based on GaAs substrates are still lacking due to the relaxation of the lattice constant along the InGaAs graded layer which makes the implementation of electrically contacted devices challenging.

Using machine learning to detect noncredible cognitive test performance.

Advanced algorithmic methods may improve the assessment of performance validity during neuropsychological testing. This study investigated whether unsupervised machine learning (ML) could serve as one such method. Participants were 359 adult outpatients who underwent a neuropsychological evaluation for various referral reasons.

The Ubiquity of Cognitive Impairment in Human Illness: a Systematic Review of Meta-Analyses.

Objective: Cognitive dysfunction occurs in many neurological, psychiatric, and other health conditions. This review aimed to characterize the breadth and degree of cognitive morbidity associated with varied health conditions.

Method: We systematically reviewed Medline, EMBASE, and Cochrane databases for meta-analyses of cognitive dysfunction associated with any health condition.