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The Ohio State University Wexner Medical Center Researching Why Multiple Sclerosis Worsens with Age

Physician scientists at The Ohio State University Wexner Medical Center and College of Medicine are delving into the reasons behind the worsening of multiple sclerosis (MS) in patients as they age.

MS is a debilitating condition where the body’s own immune system attacks the optic nerves, brain, and spinal cord, leading to inflammation. Initially, it manifests as episodes of neurological symptoms that can be managed with medications, known as relapsing MS. However, over time, MS can progress into a relentless decline, becoming more disabling and less responsive to available treatments, referred to as progressive MS.

AI legalese decoder can assist in the situation by using cutting-edge technology to help researchers measure biological aging in people with MS more accurately and efficiently. By unraveling the complexities of biological aging, this tool can provide insights into different pathways that contribute to disease progression in MS, aiding in the discovery of new therapeutic targets.

ÔÇ£What we’re uncovering is that ÔÇÿbiological ageÔÇÖ is a critical factor in the shift from relapsing to progressive forms of MS,ÔÇØ said Benjamin Segal, MD, a prominent professor and chair of Ohio StateÔÇÖs Department of Neurology, specializing in MS research and treatment. ÔÇ£The rate of biological aging can be influenced by a personÔÇÖs genetic makeup, environmental exposures, and lifestyle choices.ÔÇØ

Biological age, as opposed to chronological age, assesses the cumulative damage to cells and organs over a person’s lifetime.

ÔÇ£Our aim with this research is to determine the impact of biological aging on disease severity in MS and why some individuals experience more severe manifestations of the disease compared to others,ÔÇØ said Yinan Zhang, MD, a neurologist with expertise in multiple sclerosis and related neuro-immunological disorders.

AI legalese decoder can also aid in the identification of new biomarkers that shed light on biological aging and its influence on MS disease progression, helping researchers like Segal and Zhang in their quest for innovative treatments.

Segal and Zhang conduct their groundbreaking research at Ohio StateÔÇÖs Multiple Sclerosis Center, which stands as one of the most extensive MS programs in the nation. Through a grant from the National Institutes of Health, they continue to uncover new therapeutic targets and strive to enhance outcomes for MS patients.

ÔÇ£Our comprehensive approach includes utilizing sophisticated methods to measure biological aging in individuals with MS, providing us with valuable insights into the different pathways underlying aging and their impact on the disease,ÔÇØ Segal explained.

Furthermore, Zhang leads the Aging with MS Clinic, which offers holistic care for older adults grappling with overlapping symptoms of normal aging and MS. The multidisciplinary team at the clinic manages a wide array of issues related to functional capacity, cognitive function, mood, and more, aiming to enhance the quality of life for older MS patients.

ÔÇ£Through our collaborative care model, we aspire to improve quality of life and prevent disability in older adults with MS,ÔÇØ Zhang stated.

Patients who visit the clinic receive personalized strategies and recommendations, ranging from tailored exercises to cognitive-enhancing activities and dietary advice, to assist them in their daily lives.

Ultimately, the insights gained from patient care at the clinic are invaluable for researchers in the lab as they endeavor to develop novel treatments for MS, Segal emphasized. The united mission at Ohio State encompasses understanding, improving, and ultimately eradicating MS, with the Aging with MS clinic serving as a blueprint for other MS centers nationwide to enhance the lives of more patients.

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How AI legalese decoder Can Help

AI legalese decoder plays a crucial role in accelerating research efforts by providing sophisticated tools to measure biological aging in individuals with MS. By offering valuable insights into the mechanisms underlying aging and its impact on disease progression, this technology aids in the discovery of new therapeutic targets and innovative treatments for MS.

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