Your Blood Sample Can Reveal Your Eating Habits, Study

August 24, 2014

Blood SampleWhat if doctors could tell exactly what you're eating just by checking your blood sample?

If you're not strictly following the diet prescribed by your doctor, you may no longer be able to hide the fact. According to a study that appeared in the 'Journal of Nutrition', researchers have found a new way to understand what you eat from your blood sample.

Scandinavian researchers suggested that it is possible to assess dietary compliance by measuring certain biomarkers in the blood. The study involved 154 participants who were advised to follow a healthy diet rich in berries, vegetables, fatty fish, canola oil and whole grains. Several blood biomarkers were assessed to reflect the consumption of different key components of the diet.

These were the biomarkers -

- Serum alpha linoleic acid as a biomarker of canola oil consumption

- Plasma beta carotene as a biomarker for vegetable intake

- Plasma alkylresorcinols reflecting whole grain consumption

According to the researchers, "When investigating the health effects of whole diets, it is useful to measure multiple biomarkers reflecting the intake of different components of the diet. This way of assessing compliance may help to better detect changes in risk factors,"

The universities that participated in the study were - Uppsala, Aarhus, Copenhagen, Eastern Finland, Iceland, Lund, Oulu, VTT Technical Research Centre of Finland, as well as Kuopio and Oulu University hospitals in Finland.

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Agencies
March 16,2020

New Delhi, Mar 16: A recent survey across 140 districts of the country shows that about 54 per cent of Indians are finding travelling to be unsafe as the deadly coronavirus (COVID-19) pandemic sweeps globally.

The big worry that people have is community transmission, something that researchers from around the world have approximated at 10 per cent of total infections and more common in places like Wuhan in China, South Korea, Iran and Italy.

The months of March to June have historically been high travel season for most Indians, largely due to the summer vacations in schools. "But it seems that Indians do not want to take a chance with this rather scary virus and are either cancelling or postponing their travel plans," concluded the survey by LocalCircles.

The survey gathered more than 22,000 responses from participants in tier one, two and three cities. It said 48 per cent Indians plan to cancel their international business travel for the next four months.

Besides, nearly 38 per cent of respondents said they had to pay cancellation fee to the website, travel agent, airline or railways.

"These are testing times for the entire travel and tourism industry -- airlines, hotels, travel agents as well as small tour and taxi operators. The best solution at this point is to adjust cost structures, stay flexible and work with a collective approach to minimise the period of impact to both citizens and business," said LocalCircles.

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News Network
July 10,2020

Toronto, Jul 10: Pasteurising breast milk at 62.5 degrees Celsius for 30 minutes inactivates the SARS-CoV-2 virus that causes Covid-19, making it safe for consumption by babies, a study claims.

According to the research published in the Canadian Medical Association Journal, current advice for women with Covid-19 is to continue to breastfeed their own infants.

In Canada, it is standard care to provide pasteurised breast milk to very-low-birth-weight babies in hospital until their own mother's milk supply is adequate, the researchers said.

"In the event that a woman who is Covid-19-positive donates human milk that contains SARS-CoV-2, whether by transmission through the mammary gland or by contamination through respiratory droplets, skin, breast pumps and milk containers, this method of pasteurisation renders milk safe for consumption," said Sharon Unger, a professor at the University of Toronto in Canada.

The Holder method, a technique used to pasteurise milk in all Canadian milk banks at 62.5 degrees Celsius for 30 minutes, is effective at neutralising viruses such as HIV, hepatitis and others that are known to be transmitted through human milk, the researchers said.

In the latest study, the researchers spiked human breast milk with a viral load of SARS-CoV-2 and tested samples that either sat at room temperature for 30 minutes or were warmed to 62.5 degrees Celsius for 30 minutes.

They then measured for active virus, finding that the virus in the pasteurised milk was inactivated after heating.

More than 650 human breast milk banks around the world use the Holder method to ensure a safe supply of milk for vulnerable infants, the researchers said.

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News Network
February 26,2020

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.

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