Single-nucleotide polymorphism of interleukin-10 promoter (IL-10 -819C/T) in leprosy patients with and without erythema nodosum leprosum, and healthy household contacts.

Leprosy, caused by Mycobacterium leprae, is a chronic infectious disease that impacts the skin and peripheral nerves, causing long-term disability. The invasion of M. leprae into the body triggers immunologic responses and single single-nucleotide polymorphisms in cytokine-encoding genes may influence predisposition and susceptibility, possibly predicting the incidence of leprosy reactions. The aim of this study was to assess the gene polymorphism of interleukin-10 promoter IL-10 -819C/T in leprosy patients, leprosy patients with erythema nodosum leprosum (ENL) reaction, and household contacts. A total of 54 individuals were included, with 18 in each group. Skin smear and histopathologic examinations were used to confirm the diagnosis of leprosy and ENL. The polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) technique was used to determine the polymorphism. The results confirmed the presence of polymorphism of which all TT, CT, and CC genotypes presented. The TT genotype was most prevalent in household contacts (94.4%) followed by ENL (50%), and leprosy patients (44.4%). The CT genotype was most frequently detected in leprosy patients (50%), followed by ENL cases (44.4%), and household contacts (5.56%). In contrast, CC was mostly presented in ENL cases (5.56%), only 1% in leprosy patients, and absent among household contacts. Although the most prevalent allele in all three groups was the T allele, the C allele presented in 27% and 30% of ENL and leprosy patients, respectively and only 5% in household contact individuals. This study suggests that the polymorphism variations of IL-10 -819C/T are higher in leprosy and ENL patients compared to household contacts. Since this data is preliminary, larger studies are needed.

Nonresonant powering of injectable nanoelectrodes enables wireless deep brain stimulation in freely moving mice.

Devices that electrically modulate the deep brain have enabled important breakthroughs in the management of neurological and psychiatric disorders. Such devices are typically centimeter-scale, requiring surgical implantation and wired-in powering, which increases the risk of hemorrhage, infection, and damage during daily activity. Using smaller, remotely powered materials could lead to less invasive neuromodulation. Here, we present injectable, magnetoelectric nanoelectrodes that wirelessly transmit electrical signals to the brain in response to an external magnetic field. This mechanism of modulation requires no genetic modification of neural tissue, allows animals to freely move during stimulation, and uses nonresonant carrier frequencies. Using these nanoelectrodes, we demonstrate neuronal modulation in vitro and in deep brain targets in vivo. We also show that local subthalamic modulation promotes modulation in other regions connected via basal ganglia circuitry, leading to behavioral changes in mice. Magnetoelectric materials present a versatile platform technology for less invasive, deep brain neuromodulation.

Additive manufacturing of cellulose-based materials with continuous, multidirectional stiffness gradients.

Functionally graded materials (FGMs) enable applications in fields such as biomedicine and architecture, but their fabrication suffers from shortcomings in gradient continuity, interfacial bonding, and directional freedom. In addition, most commercial design software fail to incorporate property gradient data, hindering explorations of the design space of FGMs. Here, we leveraged a combined approach of materials engineering and digital processing to enable extrusion-based multimaterial additive manufacturing of cellulose-based tunable viscoelastic materials with continuous, high-contrast, and multidirectional stiffness gradients. A method to engineer sets of cellulose-based materials with similar compositions, yet distinct mechanical and rheological properties, was established. In parallel, a digital workflow was developed to embed gradient information into design models with integrated fabrication path planning. The payoff of integrating these physical and digital tools is the ability to achieve the same stiffness gradient in multiple ways, opening design possibilities previously limited by the rigid coupling of material and geometry.

Bio-inspired Composite Microfibers for Strong and Reversible Adhesion on Smooth Surfaces.

A novel approach for high-performance gecko-inspired adhesives for strong and reversible adhesion to smooth surfaces is proposed. The composite patterns comprising elastomeric mushroom-shaped microfibers decorated with an extremely soft and thin terminal layer of pressure sensitive adhesive. Through the optimal tip shape and improved load sharing, the adhesion performance was greatly enhanced. A high adhesion strength of 300 kPa together with superior durability on smooth surfaces are achieved, outperforming monolithic fibers by 35 times. Our concept of composite microfibrillar adhesives provides significant benefits for real world applications including wearable medical devices, transfer printing systems, and robotic manipulation.

Untethered micro-robotic coding of three-dimensional material composition.

Complex functional materials with three-dimensional micro- or nano-scale dynamic compositional features are prevalent in nature. However, the generation of three-dimensional functional materials composed of both soft and rigid microstructures, each programmed by shape and composition, is still an unsolved challenge. Here we describe a method to code complex materials in three-dimensions with tunable structural, morphological and chemical features using an untethered magnetic micro-robot remotely controlled by magnetic fields. This strategy allows the micro-robot to be introduced to arbitrary microfluidic environments for remote two- and three-dimensional manipulation. We demonstrate the coding of soft hydrogels, rigid copper bars, polystyrene beads and silicon chiplets into three-dimensional heterogeneous structures. We also use coded microstructures for bottom-up tissue engineering by generating cell-encapsulating constructs.