Molecular
traces left on cell phones allowed UC San Diego researchers to construct
lifestyle sketches of each phone's owner.
We leave behind trace chemicals,
molecules and microbes on every object we touch. By sampling the molecules on
cell phones, researchers at University of California San Diego School of
Medicine and Skaggs School of Pharmacy and Pharmaceutical Sciences were able to
construct lifestyle sketches for each phone's owner, including diet, preferred
hygiene products, health status and locations visited. This proof-of-concept
study, published November 14 by Proceedings of
the National Academy of Sciences, could have a number of
applications, including criminal profiling, airport screening, medication
adherence monitoring, clinical trial participant stratification and
environmental exposure studies.
"You
can imagine a scenario where a crime scene investigator comes across a personal
object -- like a phone, pen or key -- without fingerprints or DNA, or with
prints or DNA not found in the database. They would have nothing to go on to
determine who that belongs to," said senior author Pieter Dorrestein, PhD,
professor in UC San Diego School of Medicine and Skaggs School of Pharmacy and
Pharmaceutical Sciences. "So we thought -- what if we take advantage of
left-behind skin chemistry to tell us what kind of lifestyle this person
has?"
In
a 2015 study, Dorrestein's team constructed 3D models to illustrate the
molecules and microbes found at hundreds of locations on the bodies of two
healthy adult volunteers. Despite a three-day moratorium on personal hygiene
products before the samples were collected, the researchers were surprised to
find that the most abundant molecular features in the skin swabs still came
from hygiene and beauty products, such as sunscreen.
"All
of these chemical traces on our bodies can transfer to objects," Dorrestein
said. "So we realized we could probably come up with a profile of a
person's lifestyle based on chemistries we can detect on objects they
frequently use."
Thirty-nine
healthy adult volunteers participated in Dorrestein's latest study. The team
swabbed four spots on each person's cell phone -- an object we tend to spend a
lot of time touching -- and eight spots on each person's right hand, for a
total of nearly 500 samples. Then they used a technique called mass
spectrometry to detect molecules from the samples. They identified as many
molecules as possible by comparing them to reference structures in the GNPS
database, a crowdsourced mass spectrometry knowledge repository and annotation
website developed by Dorrestein and co-author Nuno Bandeira, PhD, associate
professor at the Jacobs School of Engineering and Skaggs School of Pharmacy and
Pharmaceutical Sciences at UC San Diego.
With
this information, the researchers developed a personalized lifestyle
"read-out" from each phone. Some of the medications they detected on
phones included anti-inflammatory and anti-fungal skin creams, hair loss
treatments, anti-depressants and eye drops. Food molecules included citrus,
caffeine, herbs and spices. Sunscreen ingredients and DEET mosquito repellant
were detected on phones even months after they had last been used by the phone
owners, suggesting these objects can provide long-term composite lifestyle
sketches.
"By
analyzing the molecules they've left behind on their phones, we could tell if a
person is likely female, uses high-end cosmetics, dyes her hair, drinks coffee,
prefers beer over wine, likes spicy food, is being treated for depression,
wears sunscreen and bug spray -- and therefore likely spends a lot of time
outdoors -- all kinds of things," said first author Amina Bouslimani, PhD,
an assistant project scientist in Dorrestein's lab. "This is the kind of
information that could help an investigator narrow down the search for an
object's owner."
There
are limitations, Dorrestein said. First of all, these molecular read-outs
provide a general profile of person's lifestyle, but they are not meant to be a
one-to-one match, like a fingerprint. To develop more precise profiles and for
this method to be more useful, he said more molecules are needed in the
reference database, particularly for the most common foods people eat, clothing
materials, carpets, wall paints and anything else people come into contact
with. He'd like to see a trace molecule database on the scale of the
fingerprint database, but it's a large-scale effort that no single lab will be
able to do alone.
Moving
forward, Dorrestein and Bouslimani have already begun extending their study
with an additional 80 people and samples from other personal objects, such as
wallets and keys. They also hope to soon begin gathering another layer of
information from each sample -- identities of the many bacteria and other
microbes that cover our skin and objects. In a 2010 study, their collaborator
and co-author, Rob Knight, PhD, professor in the UC San Diego School of
Medicine and Jacobs School of Engineering and director of the Center for
Microbiome Innovation at UC San Diego, contributed to a study in which his team
found they could usually match a computer keyboard to its owner just based on
the unique populations of microbes the person left on it. At that time, they
could make the match with a fair amount of accuracy, though not yet precisely
enough for use in an investigation.
Beyond
forensics, Dorrestein and Bouslimani imagine trace molecular read-outs could
also be used in medical and environmental studies. For example, perhaps one day
physicians could assess how well a patient is sticking with a medication
regimen by monitoring metabolites on his or her skin. Similarly, patients
participating in a clinical trial could be divided into subgroups based on how
they metabolize the medication under investigation, as revealed by skin
metabolites -- then the medication could be given only to those patients who
can metabolize it appropriately. Skin molecule read-outs might also provide
useful information about a person's exposure to environmental pollutants and
chemical hazards, such as in a high-risk workplace or a community living near a
potential pollution source.
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