MicroRNAs (miRNAs) directly regulate gene expression at a post-transcriptional level and represent an attractive therapeutic target for a wide range of diseases.

Here, we report a novel strategy for delivering miRNAs to endothelial cells (ECs) to regulate angiogenesis, using polymer-functionalized carbon nanotubes (CNTs).

CNTs were coated with two different polymers, polyethyleneimine (PEI) or polyamidoamine dendrimer (PAMAM), followed by conjugation of miR-503 oligonucleotides as recognized regulators of angiogenesis.

We demonstrated a reduced toxicity for both polymer-coated CNTs, compared with pristine CNTs or polymers alone.

Moreover, polymer-coated CNT stabilized miR-503 oligonucleotides and allowed their efficient delivery to ECs.

The functionality of PAMAM-CNT-miR-503 complexes was further demonstrated in ECs through regulation of target genes, cell proliferation and angiogenic sprouting and furthermore, in a mouse model of angiogenesis.

This comprehensive series of experiments demonstrate that the use of polyamine-functionalized CNTs to deliver miRNAs is a novel and effective way to regulate angiogenesis.

The present Research  is intended to focus on a new therapy for autoimmune diseases, using electromagnetic waves, based on a published model of the interaction of the immune system with electromagnetic waves.

Three states (Cognate antigen Recognized CR, Antigen Not Recognized ANR, and Neutral State) of T lymphocytes are
introduced, which facilitates the understanding of the model.

The intrinsic consistency of the model is made more apparent by first presenting the physical model of antigen recognition and non-recognition, after which the interaction of T lymphocytes with electromagnetic waves appears as an unavoidable consequence of this physical model.

The power dependency of the interaction and the power thresholds are also discussed.

This Research has the objective to rejuvenate elder people, unifying the regenerative property of a novel patented substance,

using like drug-delivery-system a certain range of  electromagnetic waves.

An incredibly complex industry, which requires a unique approach and a thorough assessment and forecasting of resources and efforts, the Longevity industry is expected to become one of the leading industries in the near future and to outnumber other sectors in both size and market capitalization.

The Longevity industry is a significantly complex one, consisting of many different sectors: Biomedicine, Finance, Age Tech, Gero-science, Preventive medicine, Pension systems, Government national strategies, and many more.

Given the multifaceted approach and the number of segments involved, an assessment of the industry itself, including dynamics, trends and industry’s direction, is extremely challenging.

A brain–computer interface (BCI), sometimes called a neural control interface (NCI), mind–machine interface (MMI), direct neural interface (DNI), or brain–machine interface (BMI), is a direct communication pathway between an enhanced or wired brain and an external device.

BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions.

Recently, studies in human-computer interaction via the application of machine learning to statistical temporal features extracted from the frontal lobe (EEG brainwave) data have had high levels of success in classifying mental states (Relaxed, Neutral, Concentrating), mental emotional states (Negative, Neutral, Positive) and thalamocortical dysrhythmia.

Our Research is finalized to realize a new type of BCI, bi-directional, to enhance mental state using electromagnetic emission of nootropics drugs.  Cerebral patterns are analyzed from an AI component.