Gene therapy has great potential to treat a range of different diseases, such as cancer. For that therapeutic gene can be inserted into a plasmid vector and delivered specifically to tumor cells. The most frequently used applications utilize lipoplex and polyplex approaches where DNA is non-covalently condensed into nanoparticles. However, lack of in vivo efficacy is the major concern that hinders translation of such gene therapeutic applications into clinics. In this work we introduce a novel method for in vivo delivery of plasmid DNA (pDNA) and efficient tumor-specific gene induction using intravenous (i.v) administration route. To achieve this, we utilize a cell penetrating peptide (CPP), PepFect14 (PF14), double functionalized with polyethylene glycol (PEG) and a matrix metalloprotease (MMP) substrate. We show that this delivery vector effectively forms nanoparticles, where the condensed CPP and pDNA are shielded by the PEG, in an MMP-reversible manner. Administration of the complexes results in efficient induction of gene expression specifically in tumors, avoiding normal tissues. This strategy is a potent gene delivery platform that can be used for tumor-specific induction of a therapeutic gene.

Carpal tunnel syndrome (CTS) is a common and disabling condition of the hand caused by entrapment of the median nerve at the level of the wrist. It is the commonest entrapment neuropathy, with estimates of prevalence ranging between 5-10%. Here, we undertake a genome-wide association study (GWAS) of an entrapment neuropathy, using 12,312 CTS cases and 389,344 controls identified in UK Biobank. We discover 16 susceptibility loci for CTS with p < 5 × 10 −8. We identify likely causal genes in the pathogenesis of CTS, including ADAMTS17, ADAMTS10 and EFEMP1, and using RNA sequencing demonstrate expression of these genes in surgically resected tenosynovium from CTS patients. We perform Mendelian randomisation and demonstrate a causal relationship between short stature and higher risk of CTS. We suggest that variants within genes implicated in growth and extracellular matrix architecture contribute to the genetic predisposition to CTS by altering the environment through which the median nerve transits.

One of the major limiting steps in order to have an effective drug is the passage through one or more cell membranes to reach its site of action. To reach the action-site, the specific macromolecules are required to be delivered specifically to the cell compartment/organelle in their (pre)active form. Areas covered: In this review, we will discuss cell-penetrating peptides (CPPs) developed in the last decade to transport small RNA/DNA, plasmids, antibodies, and nanoparticles into specific sites of the cell. The article describes CPPs in complex with cargo molecules that target specific intracellular organelles and their potential for pharmacological or clinical use. Expert opinion: Organelle targeting is the ultimate goal to ensure selective delivery to the site of action in the cells. CPP technologies represent an important strategy to address drug delivery to specific intracellular compartments by covalent conjugation to targeting sequences, potentially enabling strategies to combat genomic diseases as well as infections, cancer, neurodegenerative and hereditary diseases. They have proven to be successful in delivering various therapeutic agents into cells however, further in vivo experiments and clinical trials are required to demonstrate the efficacy of this technology.

Non-viral gene delivery systems have gained considerable attention as a promising alternative to viral delivery to treat diseases associated with aberrant gene expression. However, regardless of extensive research, only a little is known about the parameters that underline in vivo use of the nanoparticle-based delivery vectors. The modest efficacy and low safety of non-viral delivery are the two central issues that need to be addressed. We have previously characterized an efficient cell penetrating peptide, PF14, for in vivo applications. In the current work, we first develop an optimized formulation of PF14/pDNA nanocomplexes, which allows removal of the side-effects without compromising the bioefficacy in vivo. Secondly, based on the physicochemical complex formation studies and biological efficacy assessments, we develop a series of PF14 modifications with altered charge and fatty acid content. We show that with an optimal combination of overall charge and hydrophobicity in the peptide backbone, in vivo gene delivery can be augmented. Further combined with the safe formulation, systemic gene delivery lacking any side effects can be achieved.

Gene therapy is a prospective strategy for treating cancer. However, finding efficient and tumor‐specific gene delivery vectors remains an issue. Tumor responsive cell‐penetrating peptide (CPP) PepFect144 (PF144) has previously been shown to deliver reporter gene encoding plasmid DNA specifically into tumors upon systemic administration, but its capability to reduce tumor growth has not yet been evaluated. Here, we study the potential of PF144‐based anti‐angiogenic gene delivery to inhibit tumor growth by silencing vascular endothelial growth factor (VEGF) expression in tumors. This approach led to the inhibition of tumor growth in both the HT1080 fibrosarcoma model and orthotopic 4T1 breast tumor model. We additionally saw that the addition of αvβ3 integrin targeting did not further improve the tumor sensitive CPPs. Our results suggest that activatable cell‐penetrating peptide PF144 is a promising nonviral plasmid DNA delivery vector for cancer treatment.

Objective To develop a framework for identifying temporal clinical event trajectories from Observational Medical Outcomes Partnership-formatted observational healthcare data. Materials and Methods A 4-step framework based on significant temporal event pair detection is described and implemented as an open-source R package. It is used on a population-based Estonian dataset to first replicate a large Danish population-based study and second, to conduct a disease trajectory detection study for type 2 diabetes patients in the Estonian and Dutch databases as an example. Results As a proof of concept, we apply the methods in the Estonian database and provide a detailed breakdown of our findings. All Estonian population-based event pairs are shown. We compare the event pairs identified from Estonia to Danish and Dutch data and discuss the causes of the differences. The overlap in the results was only 2.4%, which highlights the need for running similar studies in different populations. Conclusions For the first time, there is a complete software package for detecting disease trajectories in health data.

ObjectiveTo develop a framework for identifying prominent clinical event trajectories from OMOP-formatted observational healthcare data.MethodsA four-step framework based on significant temporal event pair detection is described and implemented as an open-source R package. It is used on a population-based Estonian dataset to first replicate a large Danish population-based study and second, to conduct a disease trajectory detection study for Type 2 Diabetes patients in the Estonian and Dutch databases as an example.ResultsAs a proof of concept, we apply the methods in the Estonian database and provide a detailed breakdown of our findings. All Estonian population-based event pairs are shown. We compare the event pairs identified from Estonia to Danish and Dutch data and discuss the causes of the differences.ConclusionsFor the first time, there is a complete software package for detecting disease trajectories in health data.