Could bacteria and fungi impair new implants performance?
One of the major concerns I have had over the past decade has been the possibility, which implants could get rejected by tissue in the patient’s body or the performance impaired by the growth bacteria and fungi.
We have all seen the studies identifying, the difficulty with some breast implants and degradation of surgical mesh.
Now in a new study, Danish investigators examined 106 implants of different types and the surrounding tissue within patients.
The findings showed that bacteria, fungi or both had colonized 70 percent of the implants. The study found that bacteria and fungi were found growing on medical implants, such as hip and keen replacement, pacemakers, and screws to fix broken bones.
We should not get too concerned, none of the patients with bacteria or fungi on implants showed any signs of infection. Lots of patients have been using implants for years without problems. If they had not received the implants, their quality of life would be impaired.
We have always been of the impression, that implants we have designed would be completely sterile. I still assembled under the sanitary condition in a clean room. However, it is easy to imagine, that when a foreign body is inserted insert into the body, it creates a new niche environment for bacteria and fungi to grow.
Now the remaining question is, whether this is beneficial, or this it insignificant? The study suggested that none of the discovered bacteria or fungi were dangerous. The researchers stress that they found no direct pathogens, which generally cause infection.
The study shows a prevalence of bacteria in a place where they did not expect to find any. They are managing to remain there for a very long time probably without affecting the patient negatively.
The probability of bacteria development affecting the performance of the implant in the body is improbable.
The study was compiled by at Tim Holm Jakobsen, University of Copenhagen, Denmark. The study co-author Thomas Bjarnsholt, a professor in the university’s immunology and microbiology department.
Microscopes, with the learning algorithm, identify dendritic spines with 90% accuracy.
It has been possible for us to learn a tiny amount about the brain by using microscopes, and it even been taught by neuroscientists how to recognized part of the brain circuitry.
However, now neuroscientist and software engineers, have developed a new learning algorithm software with the objective of vastly improving the daily life of a microscope user.
A Combination, of the new specific algorithm, aptly named a neural network with a small amount of training, microscopes can now autonomously and efficiently identify small neuronal compartments called dendritic spines with over 90% accuracy.
Researchers are studying the complicated process called synaptic plasticity, which is thought to be the cellular basis of learning and memory. When single dendritic spines stimulate, hundreds of signaling molecules are mobilized to carry new information throughout the neuron.
Scientists must patiently sift through a neuron’s dendritic arbor, scanning hundreds of spines for suitable candidates to use for imaging.
Experiments are frequently repeated to amass sufficient data, and those that fail mid-way then we must be restarted. This often unspoken aspect can quickly turn prolonged imaging into a tedious and time-consuming chore, ultimately slowing scientific progress.
A study published in PLOS ONE, Dr. Michael Smirnov, Ph.D.
An alternative to using microscopes
To identify autonomously and efficiently, the brain degradation of patients with the early stages of dementia, We decided not to use microscopes, but to deploy a different approach.
Our approach is to insert a minuscule implant via the nose, into the patient’s brain region near to the hippocampus and motor cortex, which located in the dorsal portion of the front lobe.
This tiny implant has a rotating head, which enables us to take a look inside a patient brain, with dementia with unprecedented resolution and sensitivity.
Within the implant’s head, there are four minuscule tiny lasers which record brain activity within the patient’s brain region.
As the patient performs a series of complicated tasks, which are being controlled by a neuroscientist. The tasks results using a learning algorithm provide a three-dimensional image of the brain’s responses to a computer a monitor.
The next scientific test would be to get volunteers without any sines of brain degradation to take part in a similar series of complicated tasks, as the patient with dementia.
The results would allow us to get a comparison analysis, of the cellular basis of learning and memory. When the tasks stimulate single dendritic spines, and the hundreds of signaling molecules are mobilized to carry new information throughout the neuron.
The object of this study is to try to establish how the interplay of these molecules translates into memory.