RNA Biomarkers Might Predict Suicide Risk

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Investigators at the Indiana University School of Medicine report that they have found a series of RNA biomarkers in blood that may help identify who is at risk for committing suicide.

In a study published today in the advance online edition of Molecular Psychiatry, the researchers said that the biomarkers were found at significantly higher levels in the blood of both bipolar disorder patients with thoughts of suicide as well in a group of people who had committed suicide.

The study's principal investigator is Alexander B. Niculescu III, M.D., Ph.D., associate professor of psychiatry and medical neuroscience at the IU School of Medicine and attending psychiatrist and research and development investigator at the Richard L. Roudebush Veterans Affairs Medical Center in Indianapolis. Dr. Niculescu said he believes the study's results provide a first "proof of principle" for a test that could provide an early warning of somebody being at higher risk for an impulsive suicide act.

"There are people who will not reveal they are having suicidal thoughts when you ask them, who then commit [suicide], and there's nothing you can do about it. We need better ways to identify, intervene, and prevent these tragic cases," noted Dr. Niculescu.

Over a three-year period, Dr. Niculescu and his colleagues followed a large group of patients diagnosed with bipolar disorder, completing interviews and taking blood samples every three to six months. The researchers conducted a variety of analyses of the blood of a subset of participants who reported a dramatic shift from no suicidal thoughts to strong suicidal ideation. They identified differences in gene expression between the "low" and "high" states of suicidal thoughts.

The team then subjected those findings to a system of genetic and genomic analysis called Convergent Functional Genomics that identified and prioritized the best markers by cross-validation with other lines of evidence.

The researchers found that the marker SAT1 and a series of other markers provided the strongest biological "signal" associated with suicidal thoughts.

Next, to validate their findings, working with the local coroner's office, they analyzed blood samples from suicide victims and found that some of same top markers were significantly elevated.

Finally, the researchers analyzed blood test results from two additional groups of patients and found that high blood levels of the biomarkers were correlated with future suicide-related hospitalizations, as well as hospitalizations that had occurred before the blood tests.

Although confident in the biomarkers' validity, Dr. Niculescu noted that a limitation is that the research subjects were all male.

"There could be gender differences," he said. "We would also like to conduct more extensive, normative studies in the population at large. We [also] want to study and assemble clinical and sociodemographic risk factors, along with our blood tests, to increase our ability to predict risk.

"Suicide is complex: in addition to psychiatric and addiction issues that make people more vulnerable, there are existential issues related to lack of satisfaction with one's life, lack of hope for the future, not feeling needed, and cultural factors that make suicide seem like an option."

Dr. Niculescu said that he hopes such biomarkers, along with other tools, including neuropsychological tests and sociodemographic checklists currently in development by his group, ultimately can help identify people who are at risk, leading to preemptive intervention, counseling, and saved lives.


Genetic Engineering & Biotechnology News (GEN)Genetic Engineering & Biotechnology News (GEN)This article was reprinted from Genetic Engineering & Biotechnology News (GEN) with permission from Mary Ann Liebert, Inc., publishers. Genetic Engineering & Biotechnology News (GEN) has retained its position as the number one biotech publisher around the globe since its launch in 1981. GEN publishes a print edition 21 times a year and has additional exclusive editorial content online, like news and analysis as well as blogs, podcasts, webinars, polls, videos, and application notes. GEN's unique news and technology focus includes the entire bioproduct life cycle from early-stage R&D, to applied research including omics, biomarkers, as well as diagnostics, to bioprocessing and commercialization.

 

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