Newly discovered biomarkers may lead to promising diagnostic tool for Alzheimer's
Ohio State University News Aug 02, 2017
Approach could offer stage–specific prognosis, open door to better treatment.
Diagnosing AlzheimerÂs disease and determining a patientÂs prognosis is an inexact business, and that stands in the way of better personalized care and advances in treatment.
A new study from The Ohio State University has identified a potential new way of confirming the disease and predicting a patientÂs outlook.
First, the team of researchers discovered new physical biomarkers that could help pinpoint a diagnosis  changes to proteins found in the spinal fluid and blood of patients. In particular, as AlzheimerÂs severity increased, the proteins were longer, more rigid and more clustered, said lead researcher Mingjun Zhang, a professor of biomedical engineering at Ohio State.
After finding these new clues to the disease, the research team entered information about the biomarkers and several other factors  including scores from cognitive assessments of patients  into an algorithm designed to rate the severity of illness.
The researchers found that the equation could identify disease stages and progression.
ÂWith a tool like this you may predict how fast this disease will go, and currently we canÂt do that  we just know everyone is different, Zhang said. ÂLooking at multiple indicators of the disease all at once increases the reliability of the diagnosis and prognosis.Â
The research appeared in the journal Science Advances.
The information used in the study came from a database of medical information  and samples of spinal fluid and blood  from patients seen by study co–author Douglas Scharre, a professor of clinical neurology and psychiatry in the Neurological Institute at Ohio StateÂs Wexner Medical Center.
The experimental tools arenÂt ready for clinical use yet, but could lead to improvements in treatment in multiple ways, Scharre said.
Currently available medications treat only symptoms of the disease and work best with an early diagnosis. Improved diagnostic tools could help doctors sort out more quickly which patients have AlzheimerÂs disease and which are experiencing cognitive decline for other reasons, Scharre said.
ÂA biomarker that shows that in three months, or three weeks even, that this drug is not doing a darn thing or is slowing down the disease will help us to not waste time in finding better treatments, he said.
Looking for physical changes in proteins is a growing area of interest for those seeking disease biomarkers, said Jeff Kuret, a study co–author and professor of biological chemistry and pharmacology at Ohio State.
The study authors said itÂs too soon to estimate how much tools such as this would cost if they were developed for routine use, but said that identifying a blood test  rather than one that relies on spinal fluid  would be key to minimizing risks and costs.
ÂTo be able to follow individual patients from pre–symptomatic through all stages of AlzheimerÂs progression would be incredibly helpful, he said.
Go to Original
Diagnosing AlzheimerÂs disease and determining a patientÂs prognosis is an inexact business, and that stands in the way of better personalized care and advances in treatment.
A new study from The Ohio State University has identified a potential new way of confirming the disease and predicting a patientÂs outlook.
First, the team of researchers discovered new physical biomarkers that could help pinpoint a diagnosis  changes to proteins found in the spinal fluid and blood of patients. In particular, as AlzheimerÂs severity increased, the proteins were longer, more rigid and more clustered, said lead researcher Mingjun Zhang, a professor of biomedical engineering at Ohio State.
After finding these new clues to the disease, the research team entered information about the biomarkers and several other factors  including scores from cognitive assessments of patients  into an algorithm designed to rate the severity of illness.
The researchers found that the equation could identify disease stages and progression.
ÂWith a tool like this you may predict how fast this disease will go, and currently we canÂt do that  we just know everyone is different, Zhang said. ÂLooking at multiple indicators of the disease all at once increases the reliability of the diagnosis and prognosis.Â
The research appeared in the journal Science Advances.
The information used in the study came from a database of medical information  and samples of spinal fluid and blood  from patients seen by study co–author Douglas Scharre, a professor of clinical neurology and psychiatry in the Neurological Institute at Ohio StateÂs Wexner Medical Center.
The experimental tools arenÂt ready for clinical use yet, but could lead to improvements in treatment in multiple ways, Scharre said.
Currently available medications treat only symptoms of the disease and work best with an early diagnosis. Improved diagnostic tools could help doctors sort out more quickly which patients have AlzheimerÂs disease and which are experiencing cognitive decline for other reasons, Scharre said.
ÂA biomarker that shows that in three months, or three weeks even, that this drug is not doing a darn thing or is slowing down the disease will help us to not waste time in finding better treatments, he said.
Looking for physical changes in proteins is a growing area of interest for those seeking disease biomarkers, said Jeff Kuret, a study co–author and professor of biological chemistry and pharmacology at Ohio State.
The study authors said itÂs too soon to estimate how much tools such as this would cost if they were developed for routine use, but said that identifying a blood test  rather than one that relies on spinal fluid  would be key to minimizing risks and costs.
ÂTo be able to follow individual patients from pre–symptomatic through all stages of AlzheimerÂs progression would be incredibly helpful, he said.
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