lunes, 5 de octubre de 2015


Naegleria fowleri
nursingisinmyblood:
23pairsofchromosomes:
vrlgy:
human–science:
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AKA as the brain-eating amoeba.
These guys are known to withstand higher temperatures and are typically found in water.  This includes ponds, rivers, moist soil, lakes, HOT springs, and UNCHLORINATED POOLS.
This parasite enters the host via nasal passage and feasts on the central nervous system (CNS) and brain which causes Primary Amoebic Meningoencephalitis (PAM) taking down it’s victim in less than 2 weeks 99% of the time.
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Initial symptoms include fevers, change in taste and/or smell, headaches, nausea and stiff neck.  Eventually as the infection progresses due to reproduction of the amoeba, the individual will experience photophobia (low tolerance for light), mental status changes and seizures leading them to a coma and die within 2 weeks upon contracting the disease.
There is no known cure for the disease as of today and the affected hosts have a mortality rate of 98%, but there are survivors.  
There is no exact way to prevent yourself from possibly being infected besides avoiding untreated warm bodies of water.
N. fowleri has three stages: Cyst, trophozoite, and flagellate.
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Here is the bastard in its trophozoite stage:
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YES, I know.  They look as terrifying as they sound.  And here is what it would do to your brain:
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Whole brain necrosis
Artsy pictures borrowed from brainsenemy on wordpress.
I remember learning about these guys in the second year of my degree and they definitely scared me off bathing in warmer waters. Luckily they’re only found in fresh water and the number of actual cases is low, but they still have ridiculously high mortality rate for a pathogen, And the people who have survived are generally severely brain damaged.
I have always been fascinated with this. I am from the south and I remember hearing about kids getting “the amoeba” after swimming in some lake during the summer. Pretty much every summer you hear of at least a couple of kids who get this and die soon after. Thanks for a great, informative post!
Let’s Talk: The Manual Differential
normocytic-normochromic:
The manual differential is one of my favorite tasks to complete as a medical laboratory science student. Automation has largely taken over the differential, but there will always be a need for completing manual differentials. It’s something students tend to love or absolutely hate. It takes a lot of skill and a ton of practice, but when you’ve gotten good at it, it’s a skill that will set you apart from other scientists and technicians. As a disclaimer, there are many different ways to perform a manual differential, and every hospital’s protocol is going to be a little different. If you do something differently, or learned to do something a different way, I’m not saying your way is wrong; I’m simply saying this is the way I was taught.


1. First, examine your slide macroscopically. Make sure there are no holes, your cells haven’t sloughed off and that your slide has stained evenly. Remember, there will be an area of the slide where the film of blood is thicker, so the staining will appear darker there, which is normal. The stain should have a gradient effect. See image below (source: http://www.medical-labs.net/feathered-edge-of-peripheral-blood-smear-2598/).
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Make sure that you have a nice feathered edge. If there is no feathered edge, you may not have a good area to count, known as the monolayer. This is the area of the slide where red blood cells are barely touching each other but are still abundant and have a nice central pallor.

2. If you have a quality slide macroscopically, examine your slide microscopically under the 10X objective. The main things you want to look for are blast/immature cells in the feathered edge, platelet clumping and parasites. Blast and immature cells tend to be larger, so they are pushed into the feathered edge a lot of the time. Catching these abnormal cells is one of the most important parts of performing a manual differential. A lot of the time, this is why you will perform a manual differential in a clinical lab, because a machine flagged it for review due to abnormal cells (as in cells that shouldn’t be in PERIPHERAL blood). If you see platelet clumping, you should not release a platelet estimate. Check your tube for clots. If your tube is clotted, you should request a new sample. Always follow your hospital’s protocol, though. There are many different blood parasites. Microfilariae are large, so they can be seen under the 10X objective, but you may have to wait until you get under the 50X or 100X objectives to see things such as Plasmodium spp. and Toxoplasma gondii.

3. If all is well microscopically, find your monolayer. There are many different ways to move your slide to begin counting. The two most important things are to not leave the monolayer and not count the same field over again by accident. A good way to move your slide can be see in the image below (source: http://www.medical-labs.net/feathered-edge-of-peripheral-blood-smear-2598/).
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The typical count is 100 WBCs but some hospitals will require counting 200 WBCs if the WBC count is high. I always count using the 100X objective because I feel it’s far more accurate, but counting using the 50X objective is very common for the experienced. While counting, simultaneously look at RBC and WBC morphology and inclusions, as well as platelet morphology and an estimate. Record all results according to your hospital’s protocol, and you’re done! Another smear under your belt.

Is there something you do differently during a manual differential? Let me know in my ask!

Sources:
http://www.medical-labs.net/feathered-edge-of-peripheral-blood-smear-2598/
medicineisnotmerchandise:

ATHEROSCLEROSIS
medicineisnotmerchandise:
ATHEROSCLEROSIS
neuromorphogenesis:
The Visual Brain - Coloring Our World
Infographic by Mezzmer Blog
asapscience:

justsomescience 
ucsdhealthsciences:

Breast Tumor Stiffness and Metastasis Risk Linked by Molecule’s MovementStiffness drives cancer invasion through previously unknown mechanismResearchers at the University of California, San Diego School of Medicine and Moores Cancer Center have discovered a molecular mechanism that connects breast tissue stiffness to tumor metastasis and poor prognosis. The study, published April 20 in Nature Cell Biology, may inspire new approaches to predicting patient outcomes and halting tumor metastasis.“We’re finding that cancer cell behavior isn’t driven by just biochemical signals, but also biomechanical signals from the tumor’s physical environment,” said senior author Jing Yang, PhD, associate professor of pharmacology and pediatrics.In breast cancer, dense clusters of collagen fibers makes the tumor feel stiffer than surrounding tissue. That’s why breast tumors are most often detected by touch — they feel harder than normal breast tissue. But it’s also known that increased tumor stiffness correlates with tumor progression and metastasis, as well as poor survival.To determine how tissue stiffness influences tumor behavior, the team of cancer biologists and bioengineers used a hydrogel system to vary the rigidity on 3D cultures of breast cells from that typically experienced by normal mammary glands to the high stiffness characteristic of breast tumors. They discovered that high stiffness causes a protein called TWIST1 to lose its molecular anchor and move into the cell’s nucleus. In the nucleus, TWIST1 activates genes that enable breast cancer cells to invade surrounding tissue and metastasize to other places in the body.The researchers also compared mouse models of human breast cancer with and without TWIST1’s anchor, a protein called G3BP2. Without G3BP2, tumors were more invasive and developed more metastases in the lung, compared to tumors with G3BP2.The same mechanism plays out in human breast cancers, too, the researchers found. Analysis of human breast cancer patient samples showed that patients with stiffer tumors (meaning tumors with more organized collagen structures) did not survive as long as patients with more compliant tumors with disorganized collagen. Patients with both low G3BP2 and stiffer tumors had even shorter survival times. The correlations were so clear the team could use these factors — G3BP2 protein levels and collagen organization — to predict patient outcome.“Next we want to understand exactly how cells interpret mechanical cues into biological responses,” said Laurent Fattet, PhD, a postdoctoral researcher in Yang’s lab who led the study, along with former graduate student Spencer Wei. “This cross-talk between a tumor’s biomechanical microenvironment and the inter-workings of individual cancer cells may someday provide new therapeutic strategies to slow cancer’s spread.”
ucsdhealthsciences:
Breast Tumor Stiffness and Metastasis Risk Linked by Molecule’s Movement
Stiffness drives cancer invasion through previously unknown mechanism
Researchers at the University of California, San Diego School of Medicine and Moores Cancer Center have discovered a molecular mechanism that connects breast tissue stiffness to tumor metastasis and poor prognosis. The study, published April 20 in Nature Cell Biology, may inspire new approaches to predicting patient outcomes and halting tumor metastasis.
“We’re finding that cancer cell behavior isn’t driven by just biochemical signals, but also biomechanical signals from the tumor’s physical environment,” said senior author Jing Yang, PhD, associate professor of pharmacology and pediatrics.
In breast cancer, dense clusters of collagen fibers makes the tumor feel stiffer than surrounding tissue. That’s why breast tumors are most often detected by touch — they feel harder than normal breast tissue. But it’s also known that increased tumor stiffness correlates with tumor progression and metastasis, as well as poor survival.
To determine how tissue stiffness influences tumor behavior, the team of cancer biologists and bioengineers used a hydrogel system to vary the rigidity on 3D cultures of breast cells from that typically experienced by normal mammary glands to the high stiffness characteristic of breast tumors. They discovered that high stiffness causes a protein called TWIST1 to lose its molecular anchor and move into the cell’s nucleus. In the nucleus, TWIST1 activates genes that enable breast cancer cells to invade surrounding tissue and metastasize to other places in the body.
The researchers also compared mouse models of human breast cancer with and without TWIST1’s anchor, a protein called G3BP2. Without G3BP2, tumors were more invasive and developed more metastases in the lung, compared to tumors with G3BP2.
The same mechanism plays out in human breast cancers, too, the researchers found. Analysis of human breast cancer patient samples showed that patients with stiffer tumors (meaning tumors with more organized collagen structures) did not survive as long as patients with more compliant tumors with disorganized collagen. Patients with both low G3BP2 and stiffer tumors had even shorter survival times. The correlations were so clear the team could use these factors — G3BP2 protein levels and collagen organization — to predict patient outcome.
“Next we want to understand exactly how cells interpret mechanical cues into biological responses,” said Laurent Fattet, PhD, a postdoctoral researcher in Yang’s lab who led the study, along with former graduate student Spencer Wei. “This cross-talk between a tumor’s biomechanical microenvironment and the inter-workings of individual cancer cells may someday provide new therapeutic strategies to slow cancer’s spread.”
science-junkie:Artist: Eleanor Lutz
Website: Tabletop Whale
socialjusticeprincesses:
get fucking vaccinated
1000-life-hacks:
This diagram could save someone’s life!
1000-life-hacks:
This diagram could save someone’s life!
micro-scopic:


micro-scopic:

I thought you might find this interesting. It’s a scanning electron microscopic image of mouse beta-eyelet cells that I had differentiated from mouse embryonic stem cells. It’s not the greatest image (I was still learning the SEM) but it’s still pretty fascinating.

This is fantastic! Beautiful, thank you for sharing, darwin4life!
micro-scopic:
micro-scopic:
I thought you might find this interesting. It’s a scanning electron microscopic image of mouse beta-eyelet cells that I had differentiated from mouse embryonic stem cells. It’s not the greatest image (I was still learning the SEM) but it’s still pretty fascinating.
This is fantastic! Beautiful, thank you for sharing, darwin4life!

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