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Hospitals are Hotspots for Antibiotic-resistant Germs
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Duration: | 05:13 |
Uploaded: | 2022-02-17 |
Last sync: | 2024-12-06 06:45 |
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MLA Full: | "Hospitals are Hotspots for Antibiotic-resistant Germs." YouTube, uploaded by SciShow, 17 February 2022, www.youtube.com/watch?v=SDkKCw3xeYo. |
MLA Inline: | (SciShow, 2022) |
APA Full: | SciShow. (2022, February 17). Hospitals are Hotspots for Antibiotic-resistant Germs [Video]. YouTube. https://youtube.com/watch?v=SDkKCw3xeYo |
APA Inline: | (SciShow, 2022) |
Chicago Full: |
SciShow, "Hospitals are Hotspots for Antibiotic-resistant Germs.", February 17, 2022, YouTube, 05:13, https://youtube.com/watch?v=SDkKCw3xeYo. |
Thanks again to the Koslicki Lab at Penn State for supporting this episode. Their lab focuses on computational biology, including the analysis of metagenomic data. If you enjoyed this video, check out some of their papers: https://koslickilab.github.io/Koslicki-lab-PSU/
While antibiotics have saved millions of lives, misusing them can speed up how fast bacteria evolve to resist them. And it turns out that one of the biggest hotspots for these antibiotic-resistant bacteria…is hospitals.
Hosted by: Hank Green
SciShow is on TikTok! Check us out at https://www.tiktok.com/@scishow
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Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow
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Huge thanks go to the following Patreon supporters for helping us keep SciShow free for everyone forever:
Bryan Cloer, Sam Lutfi, Kevin Bealer, Jacob, Christoph Schwanke, Jason A Saslow, Eric Jensen, Jeffrey Mckishen, Nazara, Ash, Matt Curls, Christopher R Boucher, Alex Hackman, Piya Shedden, Adam Brainard, charles george, Jeremy Mysliwiec, Dr. Melvin Sanicas, Chris Peters, Harrison Mills, Silas Emrys, Alisa Sherbow
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Looking for SciShow elsewhere on the internet?
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Sources:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3351745/
https://www.sciencedirect.com/science/article/pii/S2215017X21000205
https://www.genome.gov/genetics-glossary/Metagenomics
https://www.nature.com/articles/s41591-020-0894-4
https://www.researchgate.net/publication/354110983_Metagenomic_Analysis_of_Antibiotic_Resistance_Genes_in_Untreated_Wastewater_From_Three_Different_Hospitals
https://www.frontiersin.org/articles/10.3389/fmicb.2017.02200/full
https://www.sciencedirect.com/science/article/abs/pii/S2213716516300261
https://asm.org/Articles/2019/November/Metagenomic-Next-Generation-Sequencing-How-Does-It
https://health.adelaide.edu.au/florey120anniversary/one-discovery-that-changed-the-world
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378521/
https://www.cdc.gov/antibiotic-use/q-a.html
https://www.frontiersin.org/articles/10.3389/fgene.2020.575592/full
https://www3.epa.gov/npdes/pubs/centralized_brochure.pdf
https://www.frontiersin.org/articles/10.3389/fmicb.2019.00338/full
Images:
https://www.flickr.com/photos/rbrwr/117311111/in/photolist-bnfvn-iH1tNg-2iDij34-nLFuq8-Evq3KM-9K1YGB-4hkdao-nqpbiW-hNRiZ-HadHr-9jo4R7-Mz4LC-n3BMi-8tPiUM-2iJVTfP-Mz4HW-nCRq68-2aiixLo-2mSWDjU-2i5ruNE-2he7LV5-5fHMn4-2gC1PXV-bpTY4u-2286x3x-2jQEkV6-2jQWhTN-6Sqgy7-8PZx1h-4ksmgQ-5RcDXh-bCNUKK-AW2uaV-2m28t3V-axXAYt-6hiQ5d-DttWY9-zYZSKN-2mx8YXm-t1cg-2me57yU-29t5Muj-2mdQpqC-2mdXnNS-2m6wCz6-2mx8YF4-2kR3SUV-2kjHGKs-2kJG89K-2jYFGTH
https://www.istockphoto.com/photo/different-samples-with-kinds-of-bacterias-living-at-common-household-items-tothbrush-gm1153660896-313409321
https://commons.wikimedia.org/wiki/File:Environmental_shotgun_sequencing.png
https://www.istockphoto.com/photo/recovery-room-with-bed-and-comfortable-medical-interior-of-empty-hospital-room-gm1271748163-374232068
https://www.istockphoto.com/photo/gowanus-canal-brooklyn-ny-gm469514832-61645610
https://www.istockphoto.com/photo/the-human-microbiome-genetic-material-of-all-the-microbes%C2%A0that-live-on-and-inside-gm1279892500-378359062
https://www.istockphoto.com/photo/pediatrician-talks-with-patients-mother-gm1293681788-387996282
https://www.istockphoto.com/photo/nasal-and-oral-cavity-anatomical-model-for-medical-study-on-doctors-table-ent-doctor-gm1298086611-391024785
https://www.istockphoto.com/photo/clarifier-at-wastewater-treatment-plant-aerial-view-gm1283959509-381239317
https://www.istockphoto.com/photo/empty-modern-hospital-corridor-gm1294129593-388236812
https://www.istockphoto.com/photo/abstract-squiggle-pattern-in-molten-milk-chocolate-gm172316284-4238934
https://www.istockphoto.com/photo/red-chairs-gm539971320-96333967
https://www.istockphoto.com/photo/i-have-really-bad-chest-pain-doctor-gm1286713035-383135197
https://www.istockphoto.com/photo/moraxella-catarrhalis-bacteria-illustration-gram-negative-aerobic-bacterium-gm1314473963-402678064
While antibiotics have saved millions of lives, misusing them can speed up how fast bacteria evolve to resist them. And it turns out that one of the biggest hotspots for these antibiotic-resistant bacteria…is hospitals.
Hosted by: Hank Green
SciShow is on TikTok! Check us out at https://www.tiktok.com/@scishow
----------
Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow
----------
Huge thanks go to the following Patreon supporters for helping us keep SciShow free for everyone forever:
Bryan Cloer, Sam Lutfi, Kevin Bealer, Jacob, Christoph Schwanke, Jason A Saslow, Eric Jensen, Jeffrey Mckishen, Nazara, Ash, Matt Curls, Christopher R Boucher, Alex Hackman, Piya Shedden, Adam Brainard, charles george, Jeremy Mysliwiec, Dr. Melvin Sanicas, Chris Peters, Harrison Mills, Silas Emrys, Alisa Sherbow
----------
Looking for SciShow elsewhere on the internet?
SciShow Tangents Podcast: https://scishow-tangents.simplecast.com/
Facebook: http://www.facebook.com/scishow
Twitter: http://www.twitter.com/scishow
Instagram: http://instagram.com/thescishow
----------
Sources:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3351745/
https://www.sciencedirect.com/science/article/pii/S2215017X21000205
https://www.genome.gov/genetics-glossary/Metagenomics
https://www.nature.com/articles/s41591-020-0894-4
https://www.researchgate.net/publication/354110983_Metagenomic_Analysis_of_Antibiotic_Resistance_Genes_in_Untreated_Wastewater_From_Three_Different_Hospitals
https://www.frontiersin.org/articles/10.3389/fmicb.2017.02200/full
https://www.sciencedirect.com/science/article/abs/pii/S2213716516300261
https://asm.org/Articles/2019/November/Metagenomic-Next-Generation-Sequencing-How-Does-It
https://health.adelaide.edu.au/florey120anniversary/one-discovery-that-changed-the-world
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378521/
https://www.cdc.gov/antibiotic-use/q-a.html
https://www.frontiersin.org/articles/10.3389/fgene.2020.575592/full
https://www3.epa.gov/npdes/pubs/centralized_brochure.pdf
https://www.frontiersin.org/articles/10.3389/fmicb.2019.00338/full
Images:
https://www.flickr.com/photos/rbrwr/117311111/in/photolist-bnfvn-iH1tNg-2iDij34-nLFuq8-Evq3KM-9K1YGB-4hkdao-nqpbiW-hNRiZ-HadHr-9jo4R7-Mz4LC-n3BMi-8tPiUM-2iJVTfP-Mz4HW-nCRq68-2aiixLo-2mSWDjU-2i5ruNE-2he7LV5-5fHMn4-2gC1PXV-bpTY4u-2286x3x-2jQEkV6-2jQWhTN-6Sqgy7-8PZx1h-4ksmgQ-5RcDXh-bCNUKK-AW2uaV-2m28t3V-axXAYt-6hiQ5d-DttWY9-zYZSKN-2mx8YXm-t1cg-2me57yU-29t5Muj-2mdQpqC-2mdXnNS-2m6wCz6-2mx8YF4-2kR3SUV-2kjHGKs-2kJG89K-2jYFGTH
https://www.istockphoto.com/photo/different-samples-with-kinds-of-bacterias-living-at-common-household-items-tothbrush-gm1153660896-313409321
https://commons.wikimedia.org/wiki/File:Environmental_shotgun_sequencing.png
https://www.istockphoto.com/photo/recovery-room-with-bed-and-comfortable-medical-interior-of-empty-hospital-room-gm1271748163-374232068
https://www.istockphoto.com/photo/gowanus-canal-brooklyn-ny-gm469514832-61645610
https://www.istockphoto.com/photo/the-human-microbiome-genetic-material-of-all-the-microbes%C2%A0that-live-on-and-inside-gm1279892500-378359062
https://www.istockphoto.com/photo/pediatrician-talks-with-patients-mother-gm1293681788-387996282
https://www.istockphoto.com/photo/nasal-and-oral-cavity-anatomical-model-for-medical-study-on-doctors-table-ent-doctor-gm1298086611-391024785
https://www.istockphoto.com/photo/clarifier-at-wastewater-treatment-plant-aerial-view-gm1283959509-381239317
https://www.istockphoto.com/photo/empty-modern-hospital-corridor-gm1294129593-388236812
https://www.istockphoto.com/photo/abstract-squiggle-pattern-in-molten-milk-chocolate-gm172316284-4238934
https://www.istockphoto.com/photo/red-chairs-gm539971320-96333967
https://www.istockphoto.com/photo/i-have-really-bad-chest-pain-doctor-gm1286713035-383135197
https://www.istockphoto.com/photo/moraxella-catarrhalis-bacteria-illustration-gram-negative-aerobic-bacterium-gm1314473963-402678064
Thank you to Prof.
Koslicki’s Lab at Penn State for supporting this episode of SciShow. You can click the link in the description to learn more about their work on metagenomics and computational biology. [♪ INTRO] In the last hundred years, antibiotics have saved millions of lives and probably helped you through a few infections, too.
They’re drugs that fight bacteria, so they’re great for treating a wide variety of illnesses. But misusing antibiotics can speed up how fast bacteria evolve to resist them. And it has!
Antimicrobial resistance is already related to hundreds of thousands of deaths every year. Understanding how this resistance happens and what kinds of drug-resistant bacteria are out there is huge for addressing the problem. But with thousands of kinds of bacteria on and in everything from people to wastewater, that’s easier said than done.
So, scientists have turned to a field called metagenomics for help. And among other places, they’ve learned that one of the biggest hotspots for antibiotic-resistant bacteria…is hospitals. Like the name implies, metagenomics is an extension of regular genomics.
Genomics is all about studying an individual organism’s DNA, including sequencing it, or figuring out what molecules make up their DNA and in what order. Metagenomics is doing that with the DNA from a bunch of organisms at once. So, instead of analyzing DNA from one kind of microbe, metagenomics might involve sequencing the entire collection of DNA from a community of hundreds of kinds of microbes.
Then, scientists can compare what they find to a genomic reference database and figure out what kinds of organisms they’re dealing with and how common they are. This method is especially useful because you don’t have to separate out every kind of microbe and grow it in its own dish like with other methods. You can just do a broad survey.
And when it comes to tracking antibiotic resistance and the numerous kinds of bacteria involved, metagenomics is huge. For instance, one thing multiple studies have revealed is that hospitals are a major source of antibiotic-resistant genes, which are basically the genetic material that allows bacteria to resist these drugs. And one especially notable hotspot is hospital wastewater.
In a way, that’s not super surprising: Many hospital patients are given antibiotics. And then, those drugs can end up in their urine and other waste, which goes down the drain. But the water isn’t just going down the drain.
It’s ultimately ending up in waterways. And if it’s not properly treated, those antibiotic-resistant genes are going along with it. If hospitals are going to do something about this, they need to understand what kinds of bacteria and genes they’re dealing with.
And sequencing the DNA of every kind of microbe individually probably isn’t realistic. And so: metagenomics! In an August 2021 study in Frontiers in Microbiology, researchers used metagenomics to investigate the kinds of bacteria and antibiotic-resistant genes in the untreated wastewater from three hospitals.
They found 34 antibiotic-resistant genes among them. They also found that different genes were more common in some hospitals than others. For instance, the two hospitals that practiced general medicine had similar kinds of bacteria to each other but were both different than the third hospital, which focused on oral medicine.
With information like this, hospitals could do more than just understand the problem: They could change or optimize how they handle their wastewater. If a hospital or wastewater treatment plant knows what kinds of bacteria and genes to look out for, they could customize their treatment system to target those microbes and stop them from spreading. But it doesn’t end there.
See, it’s not just water that’s spreading these genes and bacteria: Studies have also found similar results about hospital air. Like, another paper from 2021 published in the Chemical Engineering Journal used metagenomics and found that antibiotic-resistant genes were easily spread in a commonly-used hallway in a hospital. The study also identified specific categories of bacteria that hospitals could focus on managing.
Now, the hard thing about antibiotic resistance is that it’s not just limited to these hotspots. Antibiotic-resistant genes are found everywhere: in the soil, in waterways, and even in our guts. For instance, a 2016 study used metagenomics to study antibiotic-resistant genes in stool samples from seven hospital patients, plus a healthy volunteer.
They identified 46 antibiotic-resistant genes. But the catch was that the genes didn’t match the drugs the patients were being treated with. So, it’s not like the patients were being given antibiotics, and their gut bacteria were adapting.
Instead, they seemed to have picked up these genes from the general hospital environment and the larger community. And that’s why keeping tabs on these microbes is so important. Drug-resistant genes and bacteria are all over the place, and the better scientists can understand where they come from and how they’re spreading, the better equipped they’ll be to do something about it.
So, using antibiotics responsibly and figuring out how to slow the spread of resistant genes is going to be a team effort. But it’ll also be one that has a huge impact on a lot of lives. Thanks for watching this episode of SciShow!
And thanks again to the Koslicki Lab at Penn State for supporting this episode. Their lab focuses on computational biology, including the analysis of metagenomic data. If you enjoyed this video and would like to learn more about how biology, computer science, and mathematics can be used to learn about the world around us, you can check out some of their papers using the link below. [♪ OUTRO]
Koslicki’s Lab at Penn State for supporting this episode of SciShow. You can click the link in the description to learn more about their work on metagenomics and computational biology. [♪ INTRO] In the last hundred years, antibiotics have saved millions of lives and probably helped you through a few infections, too.
They’re drugs that fight bacteria, so they’re great for treating a wide variety of illnesses. But misusing antibiotics can speed up how fast bacteria evolve to resist them. And it has!
Antimicrobial resistance is already related to hundreds of thousands of deaths every year. Understanding how this resistance happens and what kinds of drug-resistant bacteria are out there is huge for addressing the problem. But with thousands of kinds of bacteria on and in everything from people to wastewater, that’s easier said than done.
So, scientists have turned to a field called metagenomics for help. And among other places, they’ve learned that one of the biggest hotspots for antibiotic-resistant bacteria…is hospitals. Like the name implies, metagenomics is an extension of regular genomics.
Genomics is all about studying an individual organism’s DNA, including sequencing it, or figuring out what molecules make up their DNA and in what order. Metagenomics is doing that with the DNA from a bunch of organisms at once. So, instead of analyzing DNA from one kind of microbe, metagenomics might involve sequencing the entire collection of DNA from a community of hundreds of kinds of microbes.
Then, scientists can compare what they find to a genomic reference database and figure out what kinds of organisms they’re dealing with and how common they are. This method is especially useful because you don’t have to separate out every kind of microbe and grow it in its own dish like with other methods. You can just do a broad survey.
And when it comes to tracking antibiotic resistance and the numerous kinds of bacteria involved, metagenomics is huge. For instance, one thing multiple studies have revealed is that hospitals are a major source of antibiotic-resistant genes, which are basically the genetic material that allows bacteria to resist these drugs. And one especially notable hotspot is hospital wastewater.
In a way, that’s not super surprising: Many hospital patients are given antibiotics. And then, those drugs can end up in their urine and other waste, which goes down the drain. But the water isn’t just going down the drain.
It’s ultimately ending up in waterways. And if it’s not properly treated, those antibiotic-resistant genes are going along with it. If hospitals are going to do something about this, they need to understand what kinds of bacteria and genes they’re dealing with.
And sequencing the DNA of every kind of microbe individually probably isn’t realistic. And so: metagenomics! In an August 2021 study in Frontiers in Microbiology, researchers used metagenomics to investigate the kinds of bacteria and antibiotic-resistant genes in the untreated wastewater from three hospitals.
They found 34 antibiotic-resistant genes among them. They also found that different genes were more common in some hospitals than others. For instance, the two hospitals that practiced general medicine had similar kinds of bacteria to each other but were both different than the third hospital, which focused on oral medicine.
With information like this, hospitals could do more than just understand the problem: They could change or optimize how they handle their wastewater. If a hospital or wastewater treatment plant knows what kinds of bacteria and genes to look out for, they could customize their treatment system to target those microbes and stop them from spreading. But it doesn’t end there.
See, it’s not just water that’s spreading these genes and bacteria: Studies have also found similar results about hospital air. Like, another paper from 2021 published in the Chemical Engineering Journal used metagenomics and found that antibiotic-resistant genes were easily spread in a commonly-used hallway in a hospital. The study also identified specific categories of bacteria that hospitals could focus on managing.
Now, the hard thing about antibiotic resistance is that it’s not just limited to these hotspots. Antibiotic-resistant genes are found everywhere: in the soil, in waterways, and even in our guts. For instance, a 2016 study used metagenomics to study antibiotic-resistant genes in stool samples from seven hospital patients, plus a healthy volunteer.
They identified 46 antibiotic-resistant genes. But the catch was that the genes didn’t match the drugs the patients were being treated with. So, it’s not like the patients were being given antibiotics, and their gut bacteria were adapting.
Instead, they seemed to have picked up these genes from the general hospital environment and the larger community. And that’s why keeping tabs on these microbes is so important. Drug-resistant genes and bacteria are all over the place, and the better scientists can understand where they come from and how they’re spreading, the better equipped they’ll be to do something about it.
So, using antibiotics responsibly and figuring out how to slow the spread of resistant genes is going to be a team effort. But it’ll also be one that has a huge impact on a lot of lives. Thanks for watching this episode of SciShow!
And thanks again to the Koslicki Lab at Penn State for supporting this episode. Their lab focuses on computational biology, including the analysis of metagenomic data. If you enjoyed this video and would like to learn more about how biology, computer science, and mathematics can be used to learn about the world around us, you can check out some of their papers using the link below. [♪ OUTRO]