Neuralgia (Trigeminal)

Neuralgia is a facial nerve condition which is more common in people over 40 years of age.

In this article:

What is neuralgia?

Symptoms

Causes

Diagnosis

Effect on your life

Treatment

Advice & Support

What is neuralgia?
An ‘attack’ of neuralgia is where you suddenly feel a kind of stabbing pain in one side of your face. This can be caused by certain triggers or for no apparent reason.

Neuralgia in both sides of the face is very rare. In fact, only 3 in 100 people with the condition suffer from neuralgia attacks on both sides of their face. Overall, the condition is more common in middle-aged people and the elderly.

Symptoms
Some people describe the pain (which is actually a nerve pain) as an electric shock or a burning feeling which last for a few seconds at a time or even for a few minutes, depending upon the severity of the attack.

The attacks usually happen as a result of a range of triggers (e.g., through smiling, walking on a windy day, while talking or singing, or even while shaving in the mornings). Attacks can also be numerous, coming and going several times throughout a 24-hour period.

Causes
Despite extensive worldwide research, the exact cause of neuralgia is as yet unknown. However, many medical professionals strongly agree and suggest that the symptoms of neuralgia occur when a blood vessel in the face presses down suddenly on the trigeminal nerve.

If you have multiple sclerosis you are at higher risk of developing neuralgia, due to the nerve damage associated with your disease.

Diagnosis
If you are suffering from the aforementioned symptoms, arrange an appointment with your GP. They will take your medical history, ask your some questions about your symptoms, and then carry out a short physical examination. An appropriate treatment will then be recommended to you.

Note: Sometimes neuralgia can be difficult to diagnose due to its symptoms being very similar to other conditions, such as severe and sudden headaches and/or migraines, and also jaw problems.

Effect on your life
Although not a life-threatening condition as such, a neuralgia attack can be extremely dangerous if you are driving or operating machinery and simply cannot carry on or retain control of your actions due to the sheer severity of your facial pain. That said, in most circumstances a neuralgia attack can be simply a short yet mildly unpleasant inconvenience that passes after a couple of minutes.

Most people find that they get used to neuralgia and cope with it overall without having to take measures, such as giving up work or requiring the help of a carer.

Treatment
Neuralgia is usually treated with prescribed medicines, such as Carbamazepine. The dosage of these medicines can be increased, depending upon the severity of your attacks.

Where prescribed medicines prove unsuccessful, surgery may be considered (but only in rare cases).

Advice & Support
Brain and Spine Foundation
Tel. 020 7793 5900
Website: www.brainandspine.org.uk

Trigeminal Neuralgia Association UK
Tel. 01883 370214
Website: www.tna.org.uk

This information and advice is not intended to replace the advice of your GP or chemist. Chemist Online is also not responsible or liable for any diagnosis made by a user based upon the content of the Chemist Online website. Chemist Online is also not liable for the contents of any external internet sites listed, nor does it endorse any commercial product or service mentioned or advised on any of the sites.

www.chemistonline.co.uk

Low-Dropout (LDO) Regulator Market – Global Industry Analysis Forecast 2016 – 2024

Typically an LDO offers a “dropout” (difference between input and output voltage) of less than 0.3V whereas a standard linear voltage regulator offers a dropout voltage of 1 Volt or more. An LDO finds its use in different industries based on certain characteristics such as the LDO’s drop-out voltage, line regulation, speed (how fast it can respond as the load varies), load regulation, quiescent current, and maximum current (which is decided by the size of the pass transistor), among others. Generating 3.3 V from 3.6 V (Li-Ion battery) needs a much lower difference between input and output voltage (less than 300 mV). Applications such as these, require the use of a low-dropout regulator to achieve the lower dropout voltage required. However, under steady state operating conditions (equilibrium condition of a circuit or a network), an LDO behaves like a simple resistor.

The rise in demand of LDOs is due to its increased use in consumer electronics, and circuitry such as microprocessors and microcontrollers, among others. Additionally, increased consumer affinity towards portable and wireless application at a global level, is also fueling the growth of the LDO industry. However, rising cost of raw materials needed, and high expenses on efficiency maintenance, are the major restraint that could hinder the growth of the industry.

The demand for low-dropout voltage regulators in the global market is expected to increase at a steady pace owing to the growing demand of the product in various industries such as telecommunication, aircraft, and cellular phones. Asia Pacific is likely to show the highest growth in the LDO market during the forecast period from 2016 to 2024.

The low-dropout regulator market can be segmented based on application and geography. Based on application, the low-dropout regulator market is classified into LDOs for digital loads, LDOs for analog loads, and LDOs for RF (Radio Frequency) loads. Digital LDOs are designed to save energy with low Iq (quiescent current). LDOs leads to increased battery life as portable systems have long periods of low-power operation when the software is idling. When the systems are inactive LDOs are shut down and consume less than 1 µA. LDOs for DSPs (Digital Signal Processing) and microcontrollers have to work with good efficiency and handle high and rapidly varying currents. Noise reduction and supply-noise rejection are two of the most sought after characteristics of components used in wireless systems. It can be achieved by care and ingenuity in the LDO’s internal design. Their low dropout voltage and low quiescent current make them a good fit for portable and wireless applications.

On the basis of geography, the low-dropout regulator market can be segmented into North America, Europe, Asia Pacific, and Rest of the World. The rising demand in consumer electronics, wireless devices, and portable battery powered appliances market would probably lead to the increase in demand of low-dropout regulators market. Asia Pacific is expected to be the fastest growing market for low-dropout regulators. The technological advancement in countries such as China, South Korea, and Taiwan coupled with cheap labor and favorable economic conditions, is likely to add to the factors responsible for growth in the Asia Pacific region.

There are many players in the low-dropout regulator industry. Key companies include Maxim (U.S), Linear ((U.S), Rohm (Japan), Texas Instruments (U.S), STMicroelectronics (France), and Ams AG (Austria). Other players operating in the market are Analog Devices (U.S), Fairchild (U.S), Toshiba (Japan), Microchip Technology (U.S), ON Semiconductor (U.S), among others.

New Method to Predict Protein-Environment Interactions Found

It is well-known that proteins are the cornerstone of life and play a key role in all biological processes. Therefore, understanding how they interact with the environment is critical to developing effective treatments and designing the basis for artificial cells.

Recently, the Protein Design and Immune Engineering Laboratory (LPDI) of the Institute of Bioengineering at the Swiss Federal Institute of Technology (EPFL), in collaboration with the Institute of Computational Science at the USI School of Information, Imperial College, and other units in the United Kingdom, has developed a groundbreaking machine learning-driven technique for predicting interactions between proteins and the environment and achieving a description of the biochemical activity of proteins based only on surfaces. In addition to deepening our understanding of protein function, this approach, known as MaSIF, can also support the future development of protein-based components in artificial cells. The study was published in the December 9 issue of Nature Methods.

In this new study, the research team took a large amount of protein surface data and entered these chemical and geometric properties into a machine learning algorithm and trained them to match them to specific behavioral patterns and biochemical activities. Then, they used the remaining data to test the algorithm.

“By scanning the surface of a protein, our method can define a ‘fingerprint’ that can then be compared between proteins,” said the leadauthor, Dr. Pablo Gainza of EPFL Bioengineering Institute and Swiss Institute of Bioinformatics.

Scientists have developed a new method to predict interactions between proteins and other proteins and biomolecules, as well as to predict their biochemical activity by looking only at their surfaces.

The team found that proteins with similar interactions all share a common “fingerprint”.

“The algorithm can analyze billions of protein surfaces per second,” said Bruno Correia, Ph.D., director of LPDI and corresponding author of the study. “Our research has important implications for the design of artificial proteins that allow us to program proteins to behave in a specific way simply by changing their surface chemistry and geometry.”

The method is published as open source and can also be used to analyze the surface structure of other types of molecules.