Forget one-size-fits-all wellness. RNA, AI and the microbiome are revealing a more personal path to healthier aging.
Longevity science has revolved around a kind of genetic determinism. If we could just decode our DNA, the thinking went, we could predict and perhaps prevent the diseases of aging. However, as this week’s episode of Longevity.Technology UNLOCKED makes clear, that story is incomplete.
“DNA is like an alphabet and RNA is the story you’re writing,” says Naveen Jain, founder of Viome. It’s a deceptively simple analogy for a profound shift. If DNA is the static blueprint, RNA is the dynamic readout – the constantly changing expression of how your body is responding to food, stress, sleep, exercise and environment. That, Jain argues, is where the real action is.
Before diving into molecular biology, Jain reframes the premise of longevity itself.
“There’s no one I know of who says I want to live to be 200 years, but I’m totally fine if I’m spending the last hundred years in ICU,” he says. Longevity, to him, isn’t about stretching years at any cost; it’s about extending what he calls the part of life where you can still do what brings you joy. It shifts the goal from survival to function, from merely adding candles to preserving capacity.
In that context, RNA becomes more than a technical curiosity. It becomes a real-time window into whether your biology is drifting toward resilience or decline.
“DNA can’t even tell you you’re dead or alive,” Jain notes. Your genome doesn’t meaningfully change if you gain weight, develop diabetes or fall into depression. “What is constantly changing in our body is our gene expression or our RNA.” In other words, the script is being rewritten every day.
One of the episode’s most provocative claims is statistical. Humans have around 22,000 protein-coding genes. The microbes living inside us?
“These 100 trillion microbes are producing anywhere between 2 million [and] 20 million genes,” Jain says. “That means despite us taking such pride in being humans, we are 99.9% microbial.” It’s a line that sounds like hyperbole…until you sit with it. The implication is not that we are passengers in our own bodies, but that we are ecosystems. A “walking, talking ecosystem,” as Jain puts it. When that ecosystem is balanced, the body is at ease. When it is disrupted, “it becomes ‘dis-ease.’”
It’s a neat linguistic turn, but it also captures a serious point. Modern life has not been kind to our internal ecology. Antibiotics, ultra-processed foods, synthetic fertilizers, hyper-sterile environments – these interventions have reshaped the microbial communities that quietly regulate inflammation, metabolism and even mood.
If longevity 1.0 was about managing disease, longevity 2.0 may be about restoring ecological balance.
Perhaps the most controversial assertion in the conversation is this: “There are universally unhealthy foods. We could not find a single food that was good for everyone.”
Spinach. Kale. Almonds. Even these darlings of clean eating can, in certain biological contexts, do more harm than good. High oxalate content, sulfide production, uric acid – the mechanisms differ, but the conclusion is consistent: biology is personal.
“What we learned in the last 10 years,” Jain says, “there is no such thing as universal healthy food.” That claim cuts against decades of public health messaging, but it reflects a truth emerging in longevity science: variability is not noise; it’s the signal.
Your glycemic response to a slice of bread may be completely different from mine. Your microbiome may convert red meat into inflammatory byproducts; mine may not. The difference is molecular. Here is where AI enters the frame.
RNA expression generates staggering amounts of data. Jain describes analyzing “100 million biomarkers” across saliva, stool and blood samples. No clinician, no matter how brilliant, can process that volume unaided.
“The only way to solve this problem is to collect [a] massive amount of data that looks at the body holistically,” he says, and then use AI to “make sense out of it.” This is AI as an interpretive engine. Without it, dynamic gene expression data would be computationally paralyzing.
Still, the episode doesn’t present AI as a silver bullet. It’s a tool, one that sits inside a larger cultural shift. Jain points to what he calls the “consumerization of health,” where individuals increasingly want to become “the CEO of their own health.” That aspiration is both empowering and fraught. Data can liberate, but it can also overwhelm. The future of longevity will depend on better translation, turning molecular complexity into actionable clarity without reducing it to gimmickry.
In a striking moment, Jain notes that even regulators are beginning to rethink priorities. “Food is the most important medicine you should be thinking about, not the drugs,” he says, referencing a broader shift in how chronic disease is framed.
Whether or not one agrees with his sharper critiques of the healthcare system, the momentum toward metabolic and microbial medicine is undeniable. Chronic diseases, such as diabetes, cardiovascular disease and neurodegeneration, are increasingly understood as systemic, inflammatory and, at least in part, preventable.
If RNA tells the story of what your body is doing right now, the question becomes: what story do you want it to write tomorrow? That may be the deeper promise of this episode. Not immortality. Not even radical life extension. But the possibility that by listening more closely to the body’s molecular signals, we can intervene earlier and live better for longer.
Want to hear the full conversation? New episodes of Longevity.Technology UNLOCKED are released every Monday, with leading voices from across longevity science, biotech and healthcare. Listen on Apple Podcasts, Spotify and YouTube, then join us again on Fridays for the week’s biggest longevity stories.
