SOURCE: Chalmers University of Technology 

If the fatty fish we eat were free of environmental pollutants, it would reduce our risk of developing type 2 diabetes. However, the pollutants in the fish have the opposite effect and appear to eliminate the protective effect from fatty fish intake. This has been shown by researchers at Chalmers University of Technology in Sweden, using innovative methods that could be used to address several questions about food and health in future studies.

Research on the effect of fish consumption on diabetes risk has produced contradictory results in recent years. Some studies show that eating a lot of fish reduces the risk of developing type 2 diabetes, while others show it has no effect, and some studies show it even tends to increase the risk. Researchers at Chalmers University of Technology conducted a study with an entirely new design and have now arrived at a possible explanation for this puzzle.

“We managed to separate the effect of the fish per se on diabetes risk from the effect of various environmental pollutants that are present in fish,” says Lin Shi, a Postdoc in Food and Nutrition science.

“Our study showed that fish consumption as a whole has no effect on diabetes risk. We then screened out the effect of environmental pollutants using a new data analysis method based on machine learning. We were then able to see that fish themselves provide clear protection against type 2 diabetes.”

“Protection is provided primarily by consumption of fatty fish. However, at the same time, we saw a link between the high consumption of fatty fish and high contents of environmental pollutants in the blood.”

Environmental pollutants measured in the present study are persistent organic pollutants (POPs), for example dioxins, DDT and PCB. Previous research has shown that these substances may be linked to an increased risk of type 2 diabetes. The varying effect of fish on diabetes risk in different studies could therefore be due to varying levels of consumption of fish from polluted areas in the different studies.

According to the Swedish National Food Agency, food is the main source of exposure to dioxins and PCBs. These substances are fat soluble and are primarily found in fatty animal foods such as fish, meat and dairy products.

Particularly high contents are found in fatty fish such as herring and wild salmon from polluted areas.

In Sweden, for example, this means the Baltic Sea, the Gulf of Bothnia and the biggest lakes, Vänern and Vättern.

The Chalmers researchers also used a new method to find out what the study participants had eaten, as a complement to questionnaires on dietary habits. Previous research has often relied entirely on questionnaires. This produces sources of error that may also have contributed to the contradictory results concerning fish and type 2 diabetes.

“Using a technique known as mass spectrometry-based metabolomics, we identified around 30 biomarkers in blood samples i.e. specific molecules that could be used to objectively measure how much fish the study participants had consumed,” says Lin Shi.

Overall, the new methodology provides considerably better tools for this research field which can be used to better discern which dietary factors are the actual causes of different types of health effects.

“Metabolomics and the new way of analysing data gives us new opportunities to distinguish between effects from different exposures that are correlated,” says Rikard Landberg, Professor of Food and Nutrition Science at Chalmers. “This is very important as otherwise it is difficult to determine whether it is diet, environmental pollutants or both that affect the risk of disease.”

More About The Study

The study is a case-control study nested in a prospective cohort in Västerbotten in northern Sweden. The participants had completed questionnaires on dietary habits and lifestyle, and provided blood samples, which were frozen. A total of 421 people who had developed type 2 diabetes after an average of 7 years were included, and they were compared with 421 healthy control individuals. The original blood samples were then analysed. In addition, blood samples were analysed that had been provided ten years after the first blood samples by 149 of the case-control pairs.

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