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Link discovers inflammation and depression in type 1 diabetes



Inflammatory protein is associated with depression in diabetes, according to a study.

The study carried out by the University of Lund in Sweden suggests that galectin-3 levels may be useful for the diagnosis of depression or may be a new target for the treatment of depression associated with type 1 diabetes better patient care.

It is well known that people with Type 1 and Type 2 diabetes are at an increased risk of developing depression, a debilitating mental health disorder with possibly serious consequences, but the causes remain poorly understood.

Galectin-3 is a key protein involved in promoting inflammatory immune responses needed to repair tissue damage in the body in response to injury or disease. Increased galectin-3 levels, however, have also been associated with an increased risk of inflammatory diseases including Alzheimer's disease and cardiovascular disease. Previous research has shown that both depression and diabetes may be associated with increased rates of inflammation in the body, but the role of galectin-3 has not been studied in either case.

In this study, Drs. Eva Olga Melin and her colleagues have the galectin-3 levels of 283 men and women, ages 1

8 to 59, with type 1 diabetes, for at least a year. Incidence of depression in these patients was self-reported and assessed using the subscale hospital anxiety and depression scale depression and possible interference with lifestyle factors such as heart disease, smoking or poorly managed diabetes were included in the analysis. The researchers found that both men and women with type 1 diabetes and depression had significantly higher galectin-3 levels.

Dr. Melin commented, "We found that people with type 1 diabetes and depression had higher galectin-3 levels, but no other diabetes-related metabolic changes could account for this elevated level."

The study was published in the journal Endocrine Connections released.

(This story was not edited by Business Standard staff and is automatically generated a syndicated feed.)


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