By MIKE MAGEE
In his final summary of the historical document in nature Last month, the authors began with this statement: “This study underscores the highly personalized nature of thymus health and emphasizes the potentially previously unrecognized critical role of maintaining thymus health in preserving an agile and adaptive immune response that is tailored to long-term well-being and longevity.”
The clinical importance of the article was quickly relayed by a series of popular scientific publications such as American scientist. Its March 18 headline read: “This overlooked organ may be more vital to longevity than scientists thought.” mass general The publications announced: “The thymus, long missing in adult health, may be critical to longevity and cancer treatment.” AND global outlets went a step further with “The thymus, once dismissed as biologically obsolete after adolescence, is now being reclassified as a central regulator of immunological aging, with new evidence linking its health to survival, cancer resistance, and how the human body ages itself.”
In their own summary, the authors of the Nature Publishing they were somewhat more reserved, and yet the message remains remarkably momentous. They write: “These findings reposition the thymus as a central regulator of immune-mediated aging and disease susceptibility in adulthood, highlighting its potential as a target of preventive and regenerative strategies to promote healthy aging and longevity.”
But what intrigued me in the above case was barely mentioned by the reviewers so enthusiastic about the primary clinical findings. My question was, “How did you measure the functionality of the thymus?” The short answer is that they measured it with the help of an AI deep learning system.
As the authors explained, “In this study, we investigated the impact of thymic functionality, here called thymic health, in adults… To quantify thymic health, we developed a deep learning system using an independent data set of 5,674 individuals to determine radiographic compositional characteristics of the thymus as an indicator of its functionality. The system takes a CT scan as input and provides continuous automatic estimation of thymic health as output… We applied the system to prospectively collected data from a total of 27,612 individuals from two cohorts, including 2,581 participants in the FHS and 25,031 participants in the NLST… For outcome analyses, participants were categorized as low, average, or high thymic health based on the bottom 25%, middle 50%, and top 25% of the population.”
This new methodology for demonstrating different levels of thymus functionality turned out to be innovative when compared to decades-old longitudinal databases. Association with cardiovascular diseases and lung cancer; history of smoking, obesity, and high HDL levels; disability, morbidity and mortality; Gender and age reinforced that prolonged thymus functionality correlated with both health and longevity.
For example, they stated: “As expected, thymus health was higher in women than in men and decreased significantly with age.” But more than those associations, the authors delved into “between metabolic and thymic health” and concluded that “these findings suggest a profound impact of practical lifestyle choices on thymic health and may further clarify why healthy behavior improves well-being and life expectancy.”
Finally, their calculations using multiple chemical markers for inflammation suggested that “poor thymus health was associated with pro-inflammatory modifications of protein levels in blood plasma, consistent with the presence of chronic inflammation. The pro-inflammatory pattern included elevated levels of cytokines IL-6, IL-18 and OSM, as well as several CXCL chemokines, all of known relevance in systemic inflammatory diseases such as atherosclerosis, age-related diseases such as arthritis and cancer.”
In their final summary, the authors reach for the golden ring by stating: “this study underscores the highly personalized nature of thymus health and emphasizes the potentially critical, previously unrecognized role of maintaining thymus health in preserving an agile and adaptive immune response that is tailored to long-term well-being and longevity.”
And understandably, they end on a clinical note of “good news.” But we must be careful not to bury the lead here: Generative AI, by helping researchers create a methodology to more accurately measure what was previously immeasurable, has reset what is “possible” in the pursuit of health and longevity. But most importantly, this paper suggests that further uses of “deep learning systems” to extend the measurement of functionality beyond what we see, feel, or have always believed to be true can accelerate discovery at a pace previously unimaginable.
Mike Magee MD is a medical historian and regular contributor to THCB. He is the author of CODE BLUE: Inside America’s medical industrial complex. (Greet/2020)
