How the cat nose knows what it's smelling
Study reveals function behind complex nasal structure

Date:
June 29, 2023
Source:
Ohio State University
Summary:
Scientists have found the secret to felines' finesse at sniffing
out food, friends and foes. A complex collection of tightly coiled
bony airway structures gets the credit, according to the first
detailed analysis of the domestic cat's nasal airway.


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FULL STORY ========================================================================== Scientists have found the secret to felines' finesse at sniffing out food, friends and foes.

A complex collection of tightly coiled bony airway structures gets the
credit, according to the first detailed analysis of the domestic cat's
nasal airway.

The researchers created a 3D computer model of the cat nose and simulated
how an inhalation of air containing common cat food odors would flow
through the coiled structures. They found that the air separates into two
flow streams, one that is cleansed and humidified and another delivering
the odorant quickly and efficiently to the system responsible for smelling
- the olfactory region.

In essence, the researchers suggest, the cat nose functions as a highly efficient and dual-purposed gas chromatograph - a tool that, in the
laboratory, detects and separates chemicals in vaporized form. In fact,
the cat nose is so efficient at this that its structure could inspire improvements to the gas chromatographs in use today.

While the long alligator nose has also been found to mimic gas
chromatography, researchers theorize that the compact cat head drove an evolutionary change that resulted in the labyrinthine airway structure
that not only fits, but helps cats adapt to diverse environments.

"It's a good design if you think about it," said Kai Zhao, associate
professor of otolaryngology in Ohio State's College of Medicine and
senior author of the study.

"For mammals, olfaction is very important in finding prey, identifying
danger, finding food sources and tracking the environment. In fact, a
dog can take a sniff and know what has passed through - was it a friend
or not?" he said.

"That's an amazing olfactory system - and I think potentially there have
been different ways to evolve to enhance that.

"By observing these flow patterns and analyzing details of these flows,
we think they could be two different flow zones that serve two different purposes." The research is published today (June 29, 2023) in PLOS Computational Biology.

Zhao's lab has previously created models of the rat and human nose to
study air flow patterns, but the high-resolution cat model and simulation experiments are his most complicated to date, based on micro-CT scans
of a cat's head and microscopic-level identification of tissue types
throughout the nasal cavity.

"We spent a lot of time developing the model and more sophisticated
analysis to understand the functional benefit that this structure serves,"
he said. "The cat nose probably has a similar complexity level as the
dog's, and it's more complex than a rodent's - and it begs the question
- why was the nose evolved to be so complex?" Computer simulations
of breathing revealed the answer: During a simulated inhalation,
researchers observed two distinct regions of air flow - respiratory
air that gets filtered and spreads slowly above the roof of the mouth
on its way to the lungs, and a separate stream containing odorant that
moves rapidly through a central passage directly to the olfactory region
toward the back of the nasal cavity. The analysis took into account both
the location of flow and the speed of its movement through turbinates,
the bony structures inside the nose.

"We measured how much flow goes through specific ducts - one duct that
delivers most odorant chemicals into the olfactory region, versus
the rest, and analyzed the two patterns," Zhao said. "For respirant
breathing, turbinates branch to divert flow into separate channels, sort
of like a radiator grid in a car, which would be better for cleansing
and humidifying.

"But you want odor detection to be very fast, so there is one branch that delivers odor at high speed, potentially allowing for quick detection
rather than waiting for air to filter through the respiratory zone -
you could lose most of the odor if air has been cleansed and the process
is slowed down." The simulation also showed that the air shuttled to
the olfactory region is then recirculated in parallel channels when
it gets there. "That was actually a surprise," Zhao said. "It's like
you take a sniff, the air is shooting back there and then is being
processed for a much longer time." This study is the first to quantify
the difference in gas chromatography between mammals and other species -
Zhao and colleagues estimate the cat's nose is more than 100 times more efficient at odor detection than an amphibian-like straight nose in a
similarly sized skull - and to come up with a parallel gas chromatography theory: parallel olfactory coils feeding from the high-speed stream to
increase the effective length of the flow path while slowing down the
local airflow speed, potentially for better odor processing.

"We know so much about vision and hearing, but not so much about the
nose. This work could lead to more understanding of the evolutionary
pathways behind different nose structures, and the functional purpose
they serve," Zhao said.

Zhenxing Wu, a postdoctoral scholar in Zhao's lab, is first author of the study. Additional co-authors include Jianbo Jiang and Fritz Lischka of
Monell Chemical Senses Center in Philadelphia; Scott McGrane of Waltham
Petcare Science Institute in the United Kingdom; and Yael Porat-Mesenco
of the University of Pennsylvania.

This work was partly funded by the National Institutes of Health and
Mars Petcare UK.

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========================================================================== Story Source: Materials provided by Ohio_State_University. Original
written by Emily Caldwell. Note: Content may be edited for style and
length.


========================================================================== Journal Reference:
1. Zhenxing Wu, Jianbo Jiang, Fritz W. Lischka, Scott J. McGrane, Yael
Porat-Mesenco, Kai Zhao. Domestic cat nose functions as a highly
efficient coiled parallel gas chromatograph. PLOS Computational
Biology, 2023; 19 (6): e1011119 DOI: 10.1371/journal.pcbi.1011119 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2023/06/230629193238.htm

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