Our Pre-print on exhaled breath detection of COVID-19 and bacteria from your lung. TL;DR summary: you do not emit any virus if you are infected, have symptoms, and are breathing in a relaxed fashion.

This DOES NOT mean COVID-19 isn’t airborne 1/n medrxiv.org/content/10.110…
People emit a lot more aeorosols in different ways when they talk, shout, sing, etc. Please wear a mask because we have 3 new variants with more disease burden poised to make our collective summers a mess.

We are working to find out how much virus you emit otherwise 2/n
This starts with a student wanting to test living under bridges with tuberculosis. At the time (2012) pretty much every breath collector out there was considered contaminated, so we set out to solve contamination, sample loss, reproducibility erj.ersjournals.com/content/26/3/5… 3/n
So we built these. A common lab vial attached to low adhesion tubes, clamped to prevent contamination/sample loss, and with a 10 cent saliva trap- an inertial impactor for large droplets. Dunk these in ice, and presto: you can condense breath pretty efficiently 4/n Image
Efficiently and reproducibly. As you can see the breath sample increases linearly for the number of breaths, doesn’t change day to day. It works better with dry ice instead or crushed ice, and kills the bacteria in the breath sample in the process (safer to use). 5/n Image
But what was eye popping was the microbiota data. NONE of the bacterial DNA in the breath sample proper was found in the saliva trap DNA. Importantly we amplified the DNA directly from the samples, not after extraction, because of contamination in the extraction kits. 6/n Image
We did this in March 2014. Later on @pathogenomenick and others coined the term kitome contaminants- but we used the exact same method during the EbolaCheck project in autumn 2014 for Ebola virus RNA in blood pubs.rsc.org/en/content/art… 7/n
What I’d learnt from EbolaCheck was that nobody would talk to you if an ISO- accredited company wasn’t behind the medical device or diagnostic. So with @Northern_Acc and @innovateuk #icure support @PulmoBioMed was born to make PBM-HALE to help diagnose paediatric wheeze 8/n
Then the pandemic hit. On 24/1/20 I set out to find out if SARS-CoV-2 can be found in exhaled breath, starting with York 2 in the Newcastle RVI HCID and like many others later, was dismissed, even ridiculed. bbc.com/news/uk-englan… 9/n
In the meantime we went to first principles. We showed our breath collector linearly collected samples between 0.5-30 min. It did this by rapidly (2 sec) freezing (> -80) fine aerosols whilst the person being sampled inhaled. In doing so, the fine aerosols inside swelled up. 10/n Image
This video shows the freezing of the tidal breath during inhalation much better than the stills. medrxiv.org/content/medrxi… 11/n
The figures on particle size show how freezing temperature (X axis) alters particle count (Y axis), for different size particles (each graph is a different size. As condensing temperature drops, particles swell more. More gas water condenses on the particles (dry or wet) 12/n
We confirmed these breath condensates contained bacteria which lost viability at low condensation temperature. We confirmed there is not a smidgeon of saliva in the breath sample- tried over 300 times now. At worst, for every 1,750 parts of breath, there’s 1 part saliva. 13/n
Besides (bacterial) DNA, we found RNA, a tiny amount of protein, and metabolites: no metabolites were detected UNLESS we extracted the sample. This means cells or exosomes. The known metabolites were largely membrane compounds, and even a cocaine metabolite. 14/n Image
The presence of cuscohygrine and absence of soluble metabolites is unique to our device. Previous reports with other devices show soluble metabolites, or cocaine. Cuscohygrine is absent from saliva. Those devices suffer saliva contamination. 14/n pubmed.ncbi.nlm.nih.gov/30395206/
The participant had reported use of cocaine by inhalation 2.5 days before offering a breath sample. For us the salivary amylase activity, cuscohygrine, and microbiota data suggests the breath sample is very pure if not entirely devoid of saliva. This matters for 🦠 emission 15/n
and understanding where the virus comes from. So @ewrightlab gave us some pseudotyped lentivirus encoding GFP to nebulise and capture with PBM-HALE. The device captured the virus, which retained infectivity. @uni_ulm validated this with VLPs. Charge aggregates particles. 16/n ImageImage
At this point we fully anticipated if SARS-CoV-2 was in exhaled breath, we would see it by RT-PCR. PLOT TWIST: We found none, among 42 cases, 30 of which in days 0-5 from start of symptoms sampled Aug 21-Jan 22, with a limit of detection of 4.7 genomes per min breathing. 17/n
This equates to <120 virus 🦠 genomes per mL of breath condensate. The average vol of breath condensate produced was 1.18 mL and we analysed 0.2 mL after adding a spike in control into the condensate. This was fully detected by RT-PCR. 18/n
There is not a single molecule of SARS-CoV-2 RNA in exhaled breath, dead or alive, n=42. The lowest nasopharyngeal swab Ct in these participants was 13.1. Ridiculous levels of infection. We used CDC swabbing guidelines BTW. 19/n
This is where I had to think long and hard and very responsibly about this data. I communicated to key individuals, such as @ArisKatzourakis. There is nuance in these data that the press would miss in August ‘21. Why were we not finding SARS-CoV-2? 20/n
We had one member of the team pick up a cold. They were SARS-CoV-2 free by NP swab. We tested their breath condensate for microbial DNA and @nuomics @andrewnelsonphd used modern data processing methods across samples. Streptococcus. 21/n Image
Did we lyse the virus by swelling the aerosols with molecular water, creating osmotic shock and RNase exposure? -100oC condensation increases condensate vol 13.9x, but the protein drops only 2.2x. We’re pulling dry breath particles into the condenser, not diluting. 22/n Image
Lentivirus, which is also an enveloped lentivirus, can actually shrug off dilution with 18.5 MegaOhm water and freezing. We are not therefore destroying SARS-CoV-2 viruses or their RNA: it’s simply not there. Does this mean COVID19 is not airborne? NO 23/n
To measure virus in our device’s large droplets inertial impactor you need to break into it. We didn’t have the luxury of doing this with 3D printed devices; the ones we broke showed saliva (diluted a bit) in the large droplets fraction medrxiv.org/content/medrxi… 24/n
We know there is SARS-CoV-2 in saliva as @VirusesImmunity showed. @linseymarr @Don_Milton @jljcolorado @CathNoakes @trishgreenhalgh and Lydia Bourouiba among many others have explained why and how they become airborne. 25/n
We also didn’t sample talking, singing, or shouting. @Don_Milton & @drkristenkc have shown it’s much more likely this increases 🦠 emissions- but we still can’t say where it’s coming from: the lungs, or the mouth? 26/n
Many others have tried similar studies: breath-based detection rates range 0-93% for positive cases, but the devices either don’t separate saliva, or allow too much space for the exhaled breath particles to evolve in size. The environmental conditions will affect this. 27/n
The one device with zero detection in tidal breath, like ours, used a 35L box fitted with a pump at the top to pick up fine aerosols. No virus. When they used a downward tube that could get contaminated with saliva, samples were positive. 28/n
What are the implications to society? Based on the current data, you will prevent infecting others if you wear a face covering when speaking, laughing singing, etc. If you’re keeping quiet, you are safe to others. Let’s face it, nobody stays permanently stone faced, so 😷👍
What does it mean for respiratory research? We found it incredibly easy to break the ‘magic sauce’ preventing saliva contamination, sampling linearity or device blockage. Others tried CFD-designed EBC collection & still had saliva contamination 29/n ncbi.nlm.nih.gov/pmc/articles/P… Image
We hope that our solution can now help separate signals from the deep lung as opposed to stuff with saliva contamination and open up the biomarker/diagnostics to other analytes beyond volatiles for clinical use in any of the 40-odd diseases with associated breath biomarkers 30/n
In a future thread, I will explain in detail why other devices out there give such conflicting data on aerosol load of the virus. Let’s hope BA.4, BA.5, B2.1.12 or monkeypox and their followers don’t make us have to consider breath screening in the future. Please use 😷 💉.

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More from @DocMoschos

Feb 6
It looks like people aligned with the party in government are paying attention to the first fluttering canary, but not chirping, in the coal mine: Israel. Reduced 4th dose uptake and letting omicron rip has lead to deaths climbing. This was predictable 1/n telegraph.co.uk/global-health/…
And it will also happen here: it’s started already. Why? Because we are starting to fall off the cliff with boosting, testing, and paying attention to mitigations. So the virus is finding fertile ground. And it was all entirely, totally predictable. Let me explain why. 2/n
20 years ago I was finishing off my PhD in vaccines. What I’d learnt through that journey, techniques aside, is that you cannot second guess a pathogen about its response to your attempt to vaccinate against it. (Here’s some data on testing in the U.K. crashing out) 3/n
Read 22 tweets
Dec 25, 2021
So it my turn to get COVID19. 2 kids in my 4yo sons’ class tested +ve 12/12/21 so we LFT’d him. He was +ve but asymptomatic; catarrh, cough, mild fever the next day. I developed symptoms 14/12 w/ weak +ve LFT -ve RT-PCR: deep, rattling chesty cough. 1/n
I get these every year but this was on another level. LFTs serially -ve next few days, no notification sons’ +ve was omicron, so I assume he got delta reinfection 8 months on after his first bout of COVID19 (from nursery). 2/n
On 18/12 and whilst still coughing hideously and persistently, which bouts so hard I felt I had no air left, I got my booster which knocked me out the next day. And I mean I spent the whole day asleep level of knocked out. On 20/12/21 my wife also tested +ve by LFT/PCR. 3/n
Read 7 tweets
Dec 11, 2021
Stunning work on nasal vaccination against SARS-CoV-2. THIS might solve a few issues!
20 years ago I was in my second year in my PhD busy testing intranasal vaccines for H. pylori infection (stomach ulcers/cancers). We knew back then that dosing the nose raised antibodies throughout all mucosal surfaces. And yet in the clinic we remain reticent.
The reason is the same why SARS-CoV-2 hits your brain: those smell nerves that the virus hitches a ride in to your brain can also prove a problem when vaccinating via the nose. But the benefits can be huge by putting the like of defence at the point of virus entry: the mucous.
Read 6 tweets
Dec 8, 2021
We now have 3 independent data sources confirming 40x reduction in nAb efficacy vs omicron and one showing UK’s vaccination strategy particularly weak in that respect. A thread 1/n
Are we screwed? No. Vaccine efficacy is sustained, but significantly lowered for hospitalisation (based on extrapolations from different vaccines and strains) especially in the U.K. where AZ might prove a handicap. Our likelihood of infection even boosted will be higher.
However, this is NOT entirely March 2020 because of steroids, some antivirals (do they work as well on omicron? 🤷‍♂️), clinical experience, better preparedness. IF we all do our bit (masks, ventilation, work from home) we stand a chance of abating a lockdown.
Read 6 tweets
Jul 13, 2021
Today I was interviewed by @BBCLN who presented me as “a scientist” criticising the government. There are another 1000 signatories in the Lancet letter castigating the government. The piece closes with the excuse of higher autumn risk; unfortunately even this is inadmissible. 1/n
When the government defines the terms of reference for the analyses to exclude what WILL make a difference, you can only expect them to raise their hands up in the air and plea no other options. The people need to know the machinations of the modelling. 2/n
Even the modellers admit their models are too erratic and unreliable. So for the government to pretend no other options is *actually*, once again, sand in our eyes. Here’s the interview - a LOT was edited out, and the defence was not presented to me. bbc.co.uk/iplayer/episod…
Read 9 tweets
Jul 11, 2021
🧵 Yesterday Aris RT’d my dissatisfaction with the estimate-based approach on the preprint regarding PFR, CFR, IFR, etc. Aris focused on the @BBCNews article. An almighty pile on ensued. I invited debate on the maths. Explore @apsmunro’s timeline as an example 1/n
My main problem is that the authors estimate cases (a medically defined term requiring a positive test) and infections (which includes asymptomatics) over a year half of which had no testing; instead they should present data over the period for which testing results exist- in 2/n
Their millions of data points. Infections are always a number extrapolated from seroprevalence studies and are less reliable simply because they are an estimation. This academic point however remains moot when the Population Fatality Ratio is obsolete. @TigressEllie (H/T) 3/n
Read 12 tweets

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