Science Week — #9

Quick question to start us off: if you wanted to understand the brain’s hidden wiring, would you zoom in on neurons—or on the support crew that quietly runs the place? This week made a strong case for the support crew. And welcome—this is episode 9 of our weekly science show, the science of the week for September 8. Good to be with you.

It is. And yes, the support crew has a name: glia. Most people hear “brain” and think “neurons.” But glial cells are essential for development, maintenance, and, frankly, keeping everything from frying itself.

One of the week’s standout studies mapped the regulatory landscape of human cortical glia in three dimensions—during mid-gestation, no less. That’s a time when the blueprint for the cortex is being laid down. It’s a detailed map of the switches and dials that turn genes on and off in four major types of glial cells.

And before we dive deeper: three-dimensional epigenomics sounds fancy, but think of it as not just reading the letters of the genome, but seeing how the DNA is folded and what parts touch—which matters for which genes get used. The team linked genetic variants associated with schizophrenia to glial regulatory elements. That is, some risk-linked variants sit in the “switches” specific to glia.

Which is a big conceptual shift. It suggests that some of the genetic risk isn’t acting through neurons alone. It’s hinting at glia as active players in brain disorders, not just bystanders.

With the usual caution: it’s an association map, not a diagnosis or a treatment. And it’s specifically in the mid-gestational human cortex. That’s an important window, but not the whole lifespan.

Still, what a window into how our brains take shape—and where things might diverge.

Let’s stay with that glia map for a moment, because it opens up so many avenues. When you say “four major glial types,” Daniel, what’s the importance of splitting it that way?

Different glial lineages do different jobs—some guide development, some manage insulation of neurons, some are immune-like. A cell-type-specific regulatory map lets scientists say, “This switch matters in this glial type during this developmental window.” Without that resolution, you’re averaging signals and can miss where the action is.

And the schizophrenia link—how do we interpret that carefully?

Carefully is the right word. “Linked” here means the study connected risk-associated genetic variants to enhancer regions—think of enhancers as control elements—active in glia. It does not mean those variants cause schizophrenia by themselves. It does not tell us the magnitude of risk for any individual. It suggests a plausible route by which regulation in glia could contribute, which future studies would need to test functionally.

So, hypothesis generation with a map. I like that. It’s like getting a high-resolution atlas before planning an expedition.

Exactly. And one more boundary condition: this was mid-gestational tissue. That’s development, not adult maintenance or aging states. So it’s a crucial piece, not the entire puzzle.

Point taken. Even so, for anyone who’s been told “the brain is just neurons,” this week politely disagreed.

From the brain’s backstage crew to a very different kind of backstage chemistry: the smell of getting older. Researchers pointed to a specific molecule—2-nonenal—as a source of age-related body odor. It’s an aldehyde formed when skin lipids oxidize with age.

A reminder that “oxidize” here just means reacting with oxygen—over time, skin lipids can change chemically. The team includes clinicians and sensory scientists, and they’re saying 2-nonenal is a key contributor to that distinctive odor some people notice with aging.

It’s one of those topics everyone thinks about and no one talks about. Useful to have a concrete molecular handle.

And to set expectations: identifying a molecule is not the same as having a medical intervention. It doesn’t imply a health risk by itself. It doesn’t make aging a pathology. It’s a piece of chemistry. Could it inform better deodorants or skin-care formulations? Potentially, yes. But nothing in this says, “Here’s a cure,” nor does it need to—aging isn’t a disease to be cured.

Also a reminder that our senses are often reading out chemistry, whether it’s coffee aromatics or lipid aldehydes. The more you know about the ingredients, the less mysterious the kitchen seems.

And ideally the less judged people feel for normal physiology.

Now to the oceans, where the headline is… the squid are having a moment. A University of Adelaide team reports that global squid populations have risen over the past six decades, driven primarily by ecosystem disturbance rather than climate change or overfishing.

Which is both fascinating and a bit sobering. Disturbance—think of disrupted food webs, habitat changes—can knock back many species. Squid, with their rapid life cycle and knack for thriving in altered environments, appear to capitalize on that.

The study includes researcher Rémy Denéchère, and the key message is that these adaptable cephalopods are opportunists. The world gets more chaotic, and they say, “We can work with this.”

To keep us grounded: “Driven primarily by ecosystem disturbance” is a conclusion from their analysis; the material does not detail the datasets or methods here. We should also assume there’s regional variability. “Global rise” can still mask local declines or boom-bust cycles. And attributing primary drivers is always tricky—multiple stressors interact.

Totally. But it’s a powerful reminder that not all species respond the same way to human-caused changes. Some become winners, and that reshapes entire food webs.

And for fisheries and conservation, a six-decade trend matters. Policies often assume relative stability. If the system’s baseline is moving, management needs to adjust.

Also: squid tacos may be the unexpected taste of the Anthropocene. Not a recommendation, just an observation.

Economists call that “revealed preference.” Biologists call it “who’s left standing.”

Back on land—and underground—there’s movement we care about predicting: earthquakes. Scientists at the University of California, Riverside developed a GPS-based technique to locate sections of fault lines where large earthquakes are most likely to occur.

With a crucial limitation right up front: this does not predict the timing or the impacts of any individual earthquake. It’s about identifying segments under conditions correlated with large events.

Which is still enormously valuable. If you can tell communities, “This stretch of the fault is where the risk concentrates,” preparedness can be targeted—retrofitting, drills, monitoring.

Agreed. But we need validation. The reporting notes this GPS-based method pinpoints sections, not clocks. There’s no “on Tuesday at 3 p.m.” capability here. And “most likely to occur” is probabilistic language; we’d want to see how this method performs across different fault systems and over time before policy leans heavily on it.

It’s like being able to say, “This is a floodplain,” without being able to tell you the date of the next storm. Still worth putting the sandbags where they matter most.

And GPS is a powerful geophysical tool—measuring tiny ground motions across networks. Turning that into actionable risk maps is the right direction, as long as the messaging to the public avoids false certainty.

Hear, hear. Nothing erodes trust faster than overclaiming in disaster science.

Speaking of trust in invisible systems, a severe solar storm last November disrupted GPS accuracy by more than 33 feet across the United States. The Aerospace Corporation flagged that, and it has real consequences for precision agriculture and self-driving vehicles.

Thirty-three feet is the difference between planting straight rows and plowing the neighbor’s fence. For autonomous systems, it’s the difference between a safe lane and a bad day. The same geomagnetic storm produced unprecedented ionospheric disturbances, according to other reporting.

Space weather is the ultimate example of “out of sight, not out of mind.” We rely on timing and positioning signals for so much, and then the sun sneezes and everything drifts.

The takeaway isn’t panic; it’s resilience. Know that severe storms can degrade accuracy nationwide. Build in fallbacks, alerts, and multi-sensor approaches. And for the public: a “GPS glitch day” caused by a solar storm isn’t your phone misbehaving—it’s the ionosphere dancing.

I like the image of satellites trying to whisper through a stormy sky. It underscores that technology sits inside larger natural systems, not outside them.

Precisely. And as we automate more, the cost of ignoring space weather goes up.

From stormy skies to the innermost planet. The BepiColombo spacecraft—run by ESA and JAXA—began autonomous separation of its two orbiters en route to Mercury on September 3, and that step was confirmed on September 6.

That’s a procedural milestone. Autonomous separation means the spacecraft executed the detachment as planned without manual intervention. Earlier reports said the mission had been preparing for this, and one outlet noted the planned detachment of the Mercury Transfer Module.

The choreography of multi-part spacecraft always amazes me. Things that lived as a single stack for years suddenly become two distinct orbiters with their own jobs.

And caution: this is one step on a long journey. Separation en route is not arrival, insertion, or mission completion. Space missions involve many such milestones. Each one reduces risk in a specific way, but future steps have their own uncertainties.

Still, every “separation confirmed” feels like a breath out in the control room—and for the rest of us, a reminder that Mercury is not easy to reach.

Gravity makes you pay for every inward step. Good to see the plan holding.

And while we’re in the solar system, China announced the timeline for its Tianwen-3 Mars sample-return mission: launch in 2028, collect about 500 grams of Martian material, and bring it back by 2031. The samples will be analyzed in a new laboratory in Anhui province.

Ambitious and concrete: a target mass—about half a kilogram—and a three-year return window. It’s also notable timing, given that the U.S. Mars Sample Return program has faced funding setbacks.

There’s a quiet race on to get bits of Mars into Earth labs. Having a facility purpose-built for analysis suggests they’re thinking from collection all the way to curation and study.

And to set expectations again: this is an agency announcement of a plan. Space missions of that scale are complex. Timelines can slip; engineering challenges emerge; laboratories must meet stringent contamination controls. Nothing in the announcement guarantees execution, but it does set a clear target.

The bigger picture is exciting. Whether samples arrive via one program or another, the scientific payoff—ground-truthing what orbiters and rovers have hinted at—will be huge.

Agreed. A few hundred grams can fuel years of work across many labs.

And probably a few spirited conferences. Scientists love nothing more than arguing over a rock that changed their mind.

The rock doesn’t argue back, which helps.

If there’s a theme running through this week, it’s mapping our world—seen and unseen. We’ve got a 3D regulatory atlas of glia shaping the developing cortex. A GPS method to outline where faults are primed for big quakes. A severe solar storm reminding us the ionosphere is a living map that can move the goalposts for GPS by more than 33 feet.

And in space exploration, one mission taking the next step toward Mercury and another laying out a plan to bring Mars to us—maps in motion, literally. Meanwhile, oceans tell their own story: squid rising as ecosystems get knocked around, taking advantage of disturbance. Not good or bad in a moral sense—just ecological reality.

There’s also a humility here. The glia study links genetic variants to regulatory elements—provocative, but not proof of causation. The earthquake method identifies likely fault sections—useful, but not a clock. The solar storm shows how fragile “accurate enough” can be when the sun decides to get feisty.

Which is the core of science done well: be specific about what you measured, what it implies, and what it does not. Avoid overreach. Build the next measurement on top of that.

And sometimes, take a win for the small things—naming a molecule like 2-nonenal and demystifying a very human experience. It’s not all grand unification; sometimes it’s, “Here’s why grandma’s sweater smells different.”

As long as we remember that molecules explain; they don’t assign value judgments.

Exactly. Curiosity paired with care. That’s a good week.

Before we go, a quick invitation: if you want a clean, calm place to keep up with what matters to you, head to factslane.com, or find FactsLane in the App Store or on Google Play. Pick your topics—people, companies, places—and it keeps track for you with checked facts.

And if you like your weeks well-rounded, check out our other weekly shows—Good Week for a smart lift, and Tech Week for the gadgets and code that actually matter.

That’s our show for this week. Thanks for listening, for thinking along with us, and for all the great notes you send. Stay curious, take care of each other, and we’ll see you next week.

Until next time.