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New features & data – Winter 2015

We realize that it is sometimes difficult to keep up with all of the new features and data sets in the Genome Browser. After all, we release new annotation tracks almost daily, and we update our software every three weeks. This post highlights a smattering of the most recent updates.

Browser & Track Hub Features

– Personalize your view of GENCODE Genes

In addition to choosing which GENCODE Gene tracks to view (e.g. basic gene set, PolyA, pseudogenes), you can now filter and highlight transcripts within the tracks. Try it here (click on the “Genes” link).

– Display your bigWig data on the other strand in your track hub

Use the new trackDb setting, negateValues on, to allow your bigWig data to be displayed on the Crick strand. This setting negates the values in the wiggle file, meaning that positive values become negative and vice versa. This is useful for wiggles representing transcription or other activities on the Crick strand. Note that wiggles with negative values are drawn in the color specified in altColor, not color as positive values are.

negateValues

– Disconnect your hub automatically

If you need to automatically disconnect your hub, you can use the hubClear variable in the URL. This is especially helpful for users who are  creating hubs dynamically. For example, to disconnect the urlOfHubToClear hub, use a URL constructed like so:

http://genome.ucsc.edu/cgi-bin/hgTracks?db=hg19&hubClear=http://urlOfHubToClear

– Enable BLAT for your assembly hub

If you have created your own assembly hub you can now set up a BLAT server to enable quick mRNA/DNA and cross-species protein alignments. All you need is a server from which you can run gfServer, and the .2bit file containing the sequence of your assembly. Read the detailed instructions here.

Note that the BLAT and gfServer programs and source code are freely available from the University of California Santa Cruz for academic and non-commercial use. A license is required for commercial use.

Annotation Tracks & Assemblies

– dbSNP v141 for hg19/GRCh37 & hg38/GRCh38

We released four annotation tracks from human Build 141 of NCBI’s database of short genetic variations, dbSNP. This release marks the first set of data available for the newest human assembly, hg38/GRCh38. Read more.

Since then, NCBI has released the next database update: dbSNP Build 142. We have derived another four tracks from this release, which are currently undergoing our rigorous quality assurance process and will be released very soon.

– Proteomics data available for hg19/GRCh37: PeptideAtlas track & CPTAC data hub

Data from the National Cancer Institute’s (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) is now available in the UCSC Genome Browser as a public track hub. This track hub contains peptides that were identified by CPTAC in their deep mass spectrometry-based characterization of the proteome content of breast, colorectal and ovarian cancer biospecimens that were initially sequenced by The Cancer Genome Atlas (TCGA).

In addition, we have also released a PeptideAtlas track that displays peptide identifications from the PeptideAtlas August 2014 (Build 433) Human build. This build, based on 971 samples containing more than 420 million spectra, identified over a million distinct peptides covering more than 15,000 canonical proteins. Read more.

– GenBank track updates

We have reduced the frequency of GenBank data updates for assemblies other than human and mouse. The GenBank-based tracks for selected recent assemblies are now updated about once a week rather than daily. The remainder of the 150+ assemblies in the Genome Browser are updated whenever a newer assembly is released and after that, about once a month. The GenBank update schedule for the human and mouse assemblies remains unchanged. Read more.

– UniProt track for hg19/GRCh37

We have added a UniProt track to hg19/GRCh37, and merged the old PFAM (Protein Families) track into it. Check it out here.

– New assembly browsers:

  • CowBos taurus, bosTau8 – sequenced/assembled by University of Maryland (UMD 3.1.1)
  • Fruitfly, D. melanogaster, dm6 – provided by the FlyBase Consortium/Berkeley Drosophila Genome Project/Celera Genomics
  • Ebola Virus, Sierra Leone 2014 outbreak, eboVir3 assembly browser and portal

Ebola virus

New Product

– Genome Browser in a Box (GBiB)

In case you missed the previous blog post, we have created an easily installable version of the Genome Browser. You can set it up in just a few minutes on your laptop for private browsing of your own data alongside the native annotation tracks. It’s fine-tuned to work with hg19/GRCh37, but it works with all other assemblies as well. If you have genomic sequence for other organisms, you can add your own assembly hub. Read more.


If you would like to stay informed about our new features and data sets, you are welcome to subscribe to our low-volume announcement mail list: genome-announce@soe.ucsc.edu


If after reading this blog post you have any public questions, please email genome@soe.ucsc.edu. All messages sent to that address are archived on a publicly accessible forum. If your question includes sensitive data, you may send it instead to genome-www@soe.ucsc.edu.

Ebola update

The opinions expressed here are those of the author, Jim Kent, and do not necessarily reflect those of the University of California Santa Cruz or any of its units. 

It’s been nearly a month since I wrote my first Ebola blog entry. Since then the world at large and myself in particular have learned more about Ebola. We have seen clearly that the virus can be transmitted within hospitals in developed countries. We’ve gotten more data showing that good hospital care including hydration, survivor plasma, and electrolyte balancing can save 75% of the patients, perhaps more if applied early. We’ve seen that, from a political point of view, it’s better for the Centers for Disease Control (CDC) to overreact than under-react. We see the epidemic continue to grow, but we also see some signs of its growth rate slowing, at least in Liberia. It seems a good time for a follow-up post.

At UCSC we’ll be adding new data and editing the Ebola Portal (http://genome.ucsc.edu/ebolaPortal/) in the coming weeks. Wikipedia has done such a great job synthesizing Ebola scientific knowledge that we’re dropping the Treatments and Vaccines section of the Ebola Portal in favor of a Wikipedia link. We’re continuing to encourage people to release Ebola viral and antibody sequences. We’ve added a new viral genome sequence from the smaller epidemic going on in the Democratic Republic of Congo (Maganga et al., 2014), and expect the first sequences from American patients soon.

In broader scientific terms, I think that most of the important medical, scientific, and epidemiological issues are now known. The challenge of how to formulate this knowledge into the most effective response is still a huge task. How can we minimize the loss of life with the resources at our disposal?

Many aspects of the epidemiology of Ebola are clear. In Africa as a whole, the time it takes to double the number of people who have been infected is about three weeks. In rural areas and affluent urban areas the doubling time is approximately four weeks, while in the shantytowns it is approximately two weeks. Epidemics in general follow an S-shaped curve, as shown in Figure 1 below. Initially there is a period of exponential growth. Approximately at the point where half of the people have become infected, the growth slows simply because there are fewer people left to infect. Even in the worst hit place in this epidemic, the shantytown of New Cru Town in Monrovia, the epidemic is still in the exponential growth phase on the left side of this curve. This is both good and bad: good because most of the people have not been subject to the certain pain and likely death of Ebola infection, but bad in that the epidemic will rapidly worsen.

constrainedGrowth

Figure 1. A graph of the constrained growth equation that epidemics tend to follow in enclosed, freely mixing areas.

Within a single patient, the medical course of the disease is also relatively clear. After initial infection there is an incubation period of typically 9 days, which can be as short as three days and at least as long as three weeks before symptoms develop. The first symptoms are similar to those of many diseases – aches, fatigue, sometimes a headache, and sometimes stomach pains. After about three days of general malaise, usually a fever develops. The disease progresses rapidly in the next four days. During this phase there is intense diarrhea, usually vomiting, and sometimes bleeding. An adult patient will lose about 10 liters of fluid per day from these causes, if kept hydrated, and will often die from the effects of dehydration otherwise. After four days of intense symptoms patients will start improving if they are destined to recover, or deteriorate further if not. The recovery rates in Africa are only about 30%.

Taking care of an Ebola patient is a lot of work and is vastly complicated by the precautions caretakers must take to avoid becoming infected themselves. The patients are in considerable pain and subject to retching, spasms, and convulsions. For many patients, a madness sets in during the peak of the disease as well. Getting the patients to drink their 10 liters of electrolytes or stay attached to their IV lines, as well as clean up after them, is physically demanding and emotionally draining work. This is exacerbated by the need to wear a protective suit that gets so hot people can safely work in it for only 45 minutes without themselves getting dehydrated. In the U.S. hospitals, approximately 100 staff are required for a single Ebola patient. Doctors without Borders manages to get by with much fewer staff than this, but it is unrealistic to think that an Ebola patient can be managed with less than two staff per bed.

This is where we come to the fundamental conflict between the epidemiology and the medicine.   Medically we want to treat every Ebola patient. The combination of hydration and plasma and/or antiviral treatment seems to raise the recovery rate from 30% to 75%, and is likely to improve further as our experience and tools for treatment grow. However, according to CDC estimates (corrected for under-reporting), as of 9/26/2014 there were 1500 people needing beds in Ebola treatment facilities in Liberia and Sierra Leone alone. We did not have the ~3000 support staff we needed then, and do not have the ~10,000 staff we would need for the ~5000 people estimated to need beds as I write this on Nov 3.

In medicine, generally prevention is far easier than treatment. For Ebola the most important prevention is keeping the patient away from other people during the most infectious phase when the patient is sickest, typically starting the day after the first sign of a fever and continuing until the patient dies or recovers. If the patient dies, the body is also exceedingly infectious. By and large the Africans have accepted the need to treat the body as hazardous and to bypass traditional funeral practices as a result. The big controversy in Africa right now concerns what to do with the patient during the infectious stage.

Ideally, patients would be brought into a treatment facility a day or two before they become highly infectious. This would have the dual benefit of isolating the population at large from infection and more than doubling the patient’s chance of survival. Unfortunately, because we don’t have enough people to treat patients this way, we have to pursue other courses of action as well that are not ideal for the people currently infected, but at least reduce the amount of people who will be infected in the future. Once we have vaccines in quantity, likely by March 2015, the situation will get much better. In the meantime though, to save lives, we have to consider a measure nobody really likes – quarantine.

Quarantine has become a bad word, in large part because most of the recent quarantines have been implemented so poorly. Quarantine is never going to be a joyful event, but if done carefully and with compassion, it need not be particularly unpleasant either. Certainly being quarantined is much more pleasant than catching Ebola or having friends and family die, and for the next several months at least, that is the alternative.

In general, people need food, water, and protection from extremes of temperature to live, and a degree of social contact with friends and family and a bit of entertainment to be happy. There is no reason that these can’t be provided inside of quarantine, and the cost of doing so is ever so much less than the cost of providing care for an Ebola patient.

The worst hit parts of Africa, and the ones in most need of quarantine, are the shantytowns. In a shantytown in the tropics, most structures are little more than a roof for shade and protection from the rain. Setting up structures such as these, capable of holding a family or social unit of about six with simple cots to sleep on, would not be hard and could be the basis of a quarantine unit. Food could be distributed in a central mess hall, and temperatures taken before one was allowed into the mess hall to eat. People showing fevers or other signs of sickness would be taken from the mess hall to a community care center where family could see patients. Ideally quarantine units of approximately 250 people could be set up in many places. The 250-person limit would reduce the spread of infection within a unit.

Once out of quarantine, ideally the dwellers of a shantytown would be moved into a refugee camp that would slowly grow to the size of the shantytown it is replacing. This camp would need a mess hall and a latrine system of some sort.

People would be invited, not forced, from the shantytown into the quarantine facility. If food, water, shelter, and minimal medical care are available, it is likely that the demand for going into such a quarantine facility would exceed the space available. A lottery would be a fair way to decide who gets in first.

After a certain point in time, everyone in the shantytown will either have passed through quarantine and into the refugee camp, have caught Ebola and either died or become non-infectious, proven naturally immune, or gotten very lucky. At this point the shantytown could be disinfected and the people from refugee camp could move back home. It seems likely that we may have a vaccine deployed as well by then.

Outside of the shantytowns, needed quarantines could be done in people’s own homes. In villages, a community care center coupled with contact tracing is all that is necessary. The traditional methods of contact tracing do work well outside of dense urban settings lacking basic infrastructure.

What would a community care center look like? The goal would be to have a place where the patients could, to the best of their ability, take care of themselves with limited help from survivors of Ebola and the bravest volunteers from their friends and family. The crucial parts of a facility are:

  • Adequate stocks of oral rehydration fluids containing the correct balance of sugars, sodium, and potassium salts.
  • “Cholera cots” (see Figure 2) that can efficiently and safely collect the patient liquid hazardous waste.
  • A place to disinfect and dispose of the waste.
  • Basic protection equipment and disinfection facilities for the workers.
  • Water and simple food such as bananas and rice.
  • Lamivudine or other mass-produced antivirals that don’t require refrigeration, if available.
  • A fence so patients can’t exit until they’ve recovered and to keep out unprotected people.
choleraBed

Figure 2. A cholera cot – a must for treating diarrheal diseases in the tropics. (Image from Hesperian health guides.)

How well these community centers will work is perhaps the most uncertain part of this plan but, particularly with the cooperation of survivors, they may represent our best hope until vaccines are widely available. Socially they would need to be set up so that people could visit and talk through the fence to patients, but be located out of sight of the main habitations so as not to provoke despair. Community care centers have worked successfully in some Liberian towns, as described in detail in the Nov. 4, 2014 issue of Morbidity and Mortality Weekly Report (MMWR) from the CDC (Logan et al., 2014).

The CDC has done a lot of good work in containing this epidemic. Where they’ve faltered has been in portraying more certainty and perhaps more optimism than is warranted by what we know. Perhaps the CDC and leadership are worried that people won’t listen to them if they don’t convey absolute certainty; that if they don’t minimize statements of risk, people will panic. However, panic is normally a temporary condition. In the end, level heads that can reasonably appraise the situation will prevail. How can we appraise the situation, though, if we are not told the truth in all of its uncertainty and risk?

It is true that Ebola is mostly spread by contact with bodily fluids. It is true in previous, smaller epidemics that airborne spread between humans, if any, has played a minor role. However, it is wishful thinking, not science, to absolutely rule this out. With a disease as dangerous as Ebola, certainly it is better to err on the side of caution. Wearing a face mask on public transportation in an Ebola-infected area and washing one’s hands when one arrives back home or at work should be our advice, not — as Obama has said in videos aimed at West Africans — that you need not worry about catching Ebola on the bus if you live in an area where it is rampant. Wearing full body protection including a breathing apparatus should be the norm among Ebola medical personnel, and somewhat belatedly it has become so.

It is true that people with Ebola will mostly show a fever before the illness gets really serious, and vomiting and diarrhea start. However, the temperature increase one develops in response to an illness is highly variable across the population. Children in general spike higher fevers than adults. A noticeable fraction of adults, around 10%, don’t get fevers higher than 100 degrees even in the absence of medicine. A significant fraction of people are on anti-inflammatory medications for arthritis and other common conditions and don’t get fevers for this reason. In Africa, where presumably people tend to be less medicated than in the U.S., reports show that 11% to 13% of people sick enough with Ebola to take themselves to the hospital do not have a fever (Schieffelin JS et al., 2014; Who Ebola Response Team, 2014).

It is true that Ebola is mostly non-contagious before people reach the stage of illness where they show a fever (if one is going to develop a fever). Using a RT-PCR test, we can’t detect virus in the blood before the initial pre-fever symptoms of malaise, aches, fatigue etc. are felt. By the time fever shows, typically we do get solid RT-PCR results, but the viral levels measure only 10% of what they will the next day when the viral level typically peaks and the blood, at least, is maximally infectious (Towner et al., 2014). The viral loads in blood typically remain at the peak level for four days, and then either the patient dies, or the viral loads decrease and the patient recovers. If we assume (and it is an assumption) that a person’s level of contagiousness follows the blood viral load, then certainly most of the disease transmission occurs in the last four days, rather than the days leading up to and including the initial fever stage. Because there is a lag time before people notice that they have a fever and go to the hospital, how much of the transmission is likely to occur in the 8 hours after fever starts? Since the viral load will be rising from 10% to 100% over the course of the day, following an exponential progression, I’ll estimate the viral load on average during the first 8 hours after fever as 13% of peak, and the next 18 hours after fever as 33% of peak. With this I can estimate the viral load over time in the 8-hour window as:

Initial-transmission/(initial-transmission + later-transmission)
or
(8 hours * 13%) / (8 hours * 13% + 16 hours * 33% + 4*24 hours * 100%)

which comes to almost exactly 1%. So, while it is scientifically reasonable to estimate that 99% of the transmission will be avoided if people go into isolation relatively promptly after they’ve reached the stage of the disease usually associated with a fever, it is also reasonable to estimate that 1% of the transmission occurs before this stage. The clinical and epidemiological data suggest that it could not be much higher than this, but are not strong enough to say that it could be lower. Given the deadliness of the disease, it is prudent to consider people infectious at a low level even before the illness becomes severe.

If the world at large tended to under-react early in the course of this epidemic, for the most part this has changed. The CDC and others have tightened their recommendations and response in the USA. African nations and health organizations have been effective in keeping the spread of Ebola outside of Guinea, Liberia, and Sierra Leone to small, quickly extinguished outbreaks. The combination of popular education about how to avoid catching Ebola, contact tracing, and quarantine seems to be putting the brakes on the epidemic in the rural areas of West Africa. I do hope a system similar to the quarantine-into-refuge I describe here can be applied to the slums and shantytowns, and that these, together with community care centers, will help save many of those in even the hardest hit regions.

References:

Logan G et al. Establishment of a Community Care Center for Isolation and Management of Ebola Patients — Bomi County, Liberia, October 2014. MMWR 2014;63(Early Release):1-3.

Maganga GD et al. Ebola Virus Disease in the Democratic Republic of Congo. N Engl J Med. 2014 Oct 15. [Epub ahead of print]

Schieffelin JS et al. Clinical Illness and Outcomes in Patients with Ebola in Sierra Leone. N Engl J Med. 2014 Oct 29. [Epub ahead of print]

Towner JS et al. Rapid diagnosis of Ebola hemorrhagic fever by reverse transcription-PCR in an outbreak setting and assessment of patient viral load as a predictor of outcome. J Virol. 2004 Apr;78(8):4330-41.

WHO Ebola Response Team. Ebola virus disease in West Africa–the first 9 months of the epidemic and forward projections. N Engl J Med. 2014 Oct 16;371(16):1481-95.


If after reading this blog post you have any public questions, please email genome@soe.ucsc.edu. All messages sent to that address are archived on a publicly accessible forum. If your question includes sensitive data, you may send it instead to genome-www@soe.ucsc.edu.

Genome Browser in a Box (GBiB) Origins

The opinions expressed here are those of the author, Jonathan Casper, and do not necessarily reflect those of the University of California Santa Cruz or any of its units.

I’m happy to say that we’ve finally released the Genome Browser in a Box (GBiB). GBiB is essentially a virtual machine image of a mirror of the UCSC Genome Browser. Download it, set it up, and voilà – instant mirror. This lets you do cool things like have a mirror of the browser on your own personal computer – more information on how to set it up is available on the help page at http://genome.ucsc.edu/goldenPath/help/gbib.html. Here, however, I’m going to talk about the background of GBiB: how it got started, what kinds of decisions we faced, and what became my favorite feature.

At UCSC, we have known for a long time that it can be hard to set up a mirror server. We even have a separate mailing list devoted to the topic. Before the GBiB project began, one of our developers was working on a script to completely automate the process for a computer running stock Ubuntu Linux.  Eventually the developer had an epiphany: why not just create a barebones mirror once on a virtual machine, and then make that available to our users? It wouldn’t solve the problem of allowing people to easily add the assemblies and tracks they wanted, but at least they wouldn’t have to wrestle first with setting up Apache and MySql. The developer’s suggestion came at an opportune moment – we had just received several mailing list questions about using sensitive data with the UCSC Genome Browser website. We didn’t have a good answer.

The problem is that the UCSC Genome Browser has always been focused on being an academic research tool, not a clinical one. We aren’t designed to provide the kind of data security that HIPAA and Institutional Review Boards call for. The only answer we could give to people who wanted data security was “create your own secure mirror, or use another genome browser”. Knowing how difficult it could be to set up a mirror, that wasn’t much of a choice.

Into that mix, we were suddenly presented with a new option: give everyone a pre-installed mirror with the hardest parts already done. Just place it behind a firewall, load up your sensitive data, and enjoy! I thought it was a great idea, as did many other browser staff members.

From there, the idea quickly snowballed. UCSC already provides a public MySQL server and download site with most of the data from our browser. We realized that we could set up the virtual machine to take advantage of those resources and load our data over the internet. This was a great advantage over normal mirror servers. UCSC provides many terabytes of data. Most mirrors have to pick and choose which assemblies and tracks they make available; there’s far too much data to download and keep synchronized. By using our public internet resources, GBiB could provide all of it.

In practice, we discovered it wasn’t quite that easy. Latency issues meant that for anyone not on the west coast of the United States, GBiB worked really slow. Just loading the default view of the human GRCh37/hg19 genome assembly could take over 10 seconds. We had to make a compromise: GBiB wouldn’t have to download track data to use it, but downloading would still be an available option for users in remote locations.

There is now a new CGI just for this purpose: “Mirror Tracks”. It combs through the list of database tables and files associated with browser tracks and allows you to download the data for any of them. If you’re interested in looking at, say, mRNA alignments in the Painted turtle (chrPic1) genome and GBiB is just too slow, a few clicks in Mirror Tracks will put them all on your own hard drive. If you really want, you can even then put GBiB into full-offline mode. You’ll lose access to any track data that you haven’t downloaded, but you’ll always have those Painted turtle mRNAs.

My favorite feature of GBiB, though, has to be what it does for track hubs. Track hubs are a feature we released in 2011 to allow users to view their own data files in the UCSC Genome Browser alongside our annotation. Unlike custom tracks, where all the data must be sent to our server at once, track hubs only send the data for the region you are looking at. That is much more manageable for something like a VCF file, which can be on the order of 10-100 GB.

There are two problems with track hubs. First, you must have web hosting space for your data to construct a track hub. Not everyone does. There are public hosting solutions like DropBox, but they don’t always work. Second, once again there is the problem of sensitive data. Even if you are willing to send your sensitive data directly to our servers at UCSC, you may not be willing (or even allowed) to make it publicly available on a web server. GBiB solves both problems beautifully.

GBiB already has a built-in web server that it uses to communicate with your computer. With a few small adjustments, you can take advantage of that and let GBiB also host your data files. This means that you can build and use a track hub with GBiB, and none of the data will ever leave your computer or be accessible to anyone else, unless you grant them access to your GBiB.

Genome Browser in a Box is available from our web store at https://genome-store.ucsc.edu. It is free for non-commercial use by non-profit organizations, academic institutions, and for personal use. Please see the store website for full terms and conditions.


If after reading this blog post you have any public questions, please email genome@soe.ucsc.edu. All messages sent to that address are archived on a publicly accessible forum. If your question includes sensitive data, you may send it instead to genome-www@soe.ucsc.edu.

2014 Ebola epidemic

The opinions expressed here are those of the author, Jim Kent,  and do not necessarily reflect those of the University of California Santa Cruz or any of its units.

I first learned about Ebola in a microbiology course in 1997. This was a great course and the teacher was very funny. He joked that our mothers taught us to wash our hands after we went to the bathroom, but in this class it was a good idea to wash hands before going to the bathroom. He once held up a test tube of Clostridium botulinum and joked it was enough to wipe out a day care center. He didn’t make any jokes about Ebola.

Ebola has been around in the African rain forests for a long time. There is some animal, probably a fruit bat, but nobody is really sure, that is the primary host of this virus. The disease a virus causes in its primary host is usually pretty mild, since when the host dies, the virus dies too. The virus can infect other animals as well. Dogs in the regions often have antibodies indicating exposure, but apparently it does not make them very sick at all, and they clear the actual virus from their systems quickly. Pigs do get sick, but generally recover. For chimps, gorillas, and humans it is usually fatal, particularly the Zaire strain of Ebola that is currently ravaging West Africa.

In humans Ebola is a disease that moves fast. It tends to either kill you quickly, or you survive it and clear it from your system relatively quickly. For a long time Ebola outbreaks affected only humans in remote villages in the forest, the ones most likely to come in contact with infected animals in the wild. The disease would burn through the village, and by the time survivors, if there were any, managed to come into contact with other people, they were non-infectious.

As Africa grew more populated and villages turned into towns, Ebola became a greater problem. People infected with Ebola and still in a contagious state would manage to stagger into a medical facility seeking care. The Nova episode Ebola, the Plague Fighters documents one such case. The patient arrived in 1995 in a hospital in Kikwit, Zaire (now DRC) with extreme pain in the abdomen. The doctors suspected appendicitis and operated. In spite of the usual surgical care against infection, nearly all of the medical personnel at that operation got infected and spread it throughout the hospital. It took heroic efforts to contain the resulting outbreak, which resulted in 315 infections and 244 fatalities.

There have been 7 Ebola outbreaks infecting 100 or more people since Kikwit. With moats of bleach-water, aggressive measures to trace contacts and quarantine people infected, and with the growing experience and energetic activities of groups such as the Doctors without Borders, each of these outbreaks has been contained. These outbreaks have, fortunately, provoked enough concern in the research community that vaccine and drug development is far along.

The 2014 outbreak in West Africa started in Guinea, and initially it looked like it would be contained as well. From what we can reconstruct, this one started with a two-year-old in December of 2013. The two-year-old survived, but the virus infected his family and many other people. The Guinea local health officials noticed the problem before it was too large and called in Médecins sans Frontières, as the Doctors without Borders are known in French (and indeed they prefer to use the French initials internationally, MSF). The MSF responded promptly and, working with locals, were able to contain the outbreak to just over 100 infected. Baize et al., 2014, in the New England Journal of Medicine, describe the course of this outbreak well and include sequence from 3 viral genomes from this outbreak.

For more than 42 days, long enough for two of the usual quarantine periods for Ebola to pass, there were no more cases. Then, in approximately the same places, the disease resurged. The reason for this resurgence is unknown. Sequencing of the resurgent outbreak by Gire et al., 2014, makes it clear that the resurgence is a continuation of the previous outbreak. It is possible that in this recently war-torn region, near the borders of Guinea, Sierra Leone, and Liberia, some of the infected fled and hid where MSF and the Guinea health workers never even knew about them. It is possible that local wildlife, perhaps a ground-based secondary host, acted as a reservoir for the virus.

Regardless of the cause of the resurgence, it has happened, and it has grown large, to the point that this is not an outbreak, but an epidemic. Ebola has for the first time hit densely populated regions. The epidemic has grown large enough that for all of their dedication and talent, MSF and similar organizations simply don’t have enough doctors and other health workers to contain it. The doubling time inside the worst hit city, Monrovia, Liberia, is just 2 weeks. The CDC’s best estimate is that 21,000 people were infected as of September 30. There is a very real danger that this epidemic could spread throughout Africa. There is a possibility that can’t be discounted, that in spite of the better sewers and other sanitation systems, it could spread through the developed world as well.

There are two things that are necessary to avoid a global pandemic. First, aggressive quarantine and isolation measures must be taken to slow the spread. Second, vaccines and treatments developed in response to previous outbreaks must be quickly scaled up so that hundreds of thousands, and ideally millions of doses are available. If either of these two things fails, we will face a worldwide problem of a scope that has not been seen for generations.

Amidst this gloom and doom there is some hope. Vaccine developers have already pressed two vaccines forward as far as they could go without actually having a human epidemic to test against. They work well in non-human primate trials. Comparative genomics analysis of the virus over the course of many outbreaks and across many strains makes it clear that there are large, antibody-accessible, parts of the virus that are highly constrained evolutionarily, and that the virus mutates slowly compared to HIV. This is something easy to see in the UCSC Genome Browser (http://genome.ucsc.edu/ebolaPortal/). It is exceedingly likely from the slow rate of change that both vaccines will work, and that once they are manufactured at large scale it will become much easier to contain the epidemic.

Similar logic applies to the treatment options that are under development. The ZMapp antibody cocktail tested in non-human primates and found effective against earlier versions of this virus likely will work in humans against the current strain. Likely, but not certainly. The Tekmira liposome-encapsulated siRNA is also a hopeful option, and perhaps can be scaled up faster than ZMapp, and perhaps also will work in humans. There is also hope that an existing drug, Lamivudine, a nucleoside analog currently approved for use against HIV and Hepatitis B, will be effective. Dr. Gorbee Logan in Liberia has had success using it on Ebola patients, and NIAID is following up on this with investigation in the lab. I’m hopeful the Ebola Genome Browser that UCSC just released is helpful for others developing new treatments.

Still, without effective quarantine measures this epidemic will grow very large indeed before vaccines and treatments can be deployed. The CDC estimate is 1.4 million cases by January 20, 2015, in Liberia and Sierra Leone alone, unless the rate of infection is slowed. Obama has ordered the army to deploy, and this is likely to help. From what I understand the plan is for the army to build field hospitals, and to help distribute food, water, and other necessary things, including vaccines and medicines once they are available.

Nonetheless I remain deeply concerned. It doesn’t really seem like people realize just how contagious this disease is. There’s thinking that somehow what is happening in Africa won’t happen elsewhere, that the African-specific customs and lifestyles favor the spread. While there is a grain of truth in this, it’s only a grain. We are fortunate in the developed world to have much better sewage systems than in Africa. We tend to leave it to professionals to prepare a body for burial rather than washing it ourselves. However, you only need look at how fast a cold or the flu passes around in the USA to see that we are not immune to a quickly progressing epidemic.

There have been many statements by the CDC and others, based on rather thin scientific evidence, that Ebola spreads only by direct contact with bodily fluids.   From this people seem to get the notion that if you avoid touching pools of blood, diarrhea, or vomit, you are ok.   Please let me take the opportunity to correct this notion.

The scientific evidence such as it is shows that if one cage of monkeys is infected with Ebola by injecting the virus into muscle tissue, it won’t infect a nearby cage in the same room in a set-up made to minimize large droplet transmission. In contrast with the same set-up, oro-nasally infected pigs were able to infect a nearby cage of monkeys in the same room (Weingartl et al., 2012). Earlier studies with a more casual layout (Jaax et al., 1995) did show indirect transmission between non-human-primates. For me, at least, the question of whether Ebola can infect without direct touch or large droplet contact remains unanswered.  At the least I would like to see if the monkeys infected by the pigs ora-nasally could in turn pass on the virus to other monkeys in the Weingartl et al. set-up. The site of initial infection has a profound effect on the progress and mode of transmission of many diseases.

Beyond this, even for the cold and the flu, 70% of infections are via contact. See the Influenza B article by La Rosa et al., 2013, and the review by Cowling et al., 2014, for further information on the modes of transmission of common viruses. What’s more, Ebola is a robust virus. It survives well outside of the body, particularly indoors away from the sun, compared to many common viruses (Piercy et al., 2010). You really need only touch something that someone with Ebola has touched recently. Among the bodily fluids that contain the virus is sweat!

Fortunately, there is no evidence that people are infectious before symptoms show. In macaques, sensitive RT-PCR tests are unable to detect the virus outside of the site of infection until day three post-infection, the same day symptoms develop, and even on day three, the levels are low, 1/10,000 of the levels they reach by day six (Giesbert et al., 2003). In humans we don’t have presymptomatic RT-PCR data, but we see similar patterns of a massive increase in viral load from the first symptomatic day to later in the disease (Towner et al., 2004). In all, the evidence that people are not infectious before showing symptoms seems solid.

Still, in the light of the relative ease of transmission of this virus once symptoms show, and the deadliness of the virus once caught, I simply don’t understand why travelers from the Ebola-stricken nations are not being quarantined. A single air traveler from Liberia to Lagos managed to infect 11 people directly, and 8 more indirectly. The Nigerian CDC was able to contain the outbreak, but it involved the efforts of hundreds of people tracing 900 contacts, and in the end 8 people died. A quarantine is a small price to pay to avoid situations like this. Recently a traveler from Liberia has developed symptoms in Dallas, and 100 contacts are being traced. We can only hope no fatalities will result.

It is my hope that people will start giving the virus the respect it deserves. I hope that all flights out of the infected regions will cease other than military flights where decontamination of planes and quarantine of passengers can be insured. I hope that sensible public health measures such as these will give us time to deploy vaccines and treatments, and develop backup vaccines and treatments in case the first set don’t work.

Meanwhile, back in West Africa, in Monrovia in particular, the epidemic has gotten so far that local quarantine is not sufficient. It has reached the stage where we have to start isolating the healthy into refuges. There are not enough health workers to handle the situation now, and the situation will rapidly get worse. The best we can do is to help people take care of their loved ones safely – distributing kits that ideally would include adult diapers, vomit buckets, gloves and breathing masks to help contain the spread of infected fluids; food, water, and electrolytes to support the patient; chlorine to disinfect the area and — if the Lamivudine treatment does hold up to its initial promise — a 5-day treatment of Lamivudine for the Ebola and a 5-day treatment of Amoxicillin to help contain the secondary infections. Kits such as these could end up saving hundreds of thousands of lives, especially if they can be delivered by people who know the local language and customs.

Many people in the world are doing all they can to fight this epidemic. It is inspiring to see. Through our combined efforts, I’m sure that the worst-case scenario won’t happen. Nonetheless what will happen is likely to be pretty bad if vaccine productions lag or if people don’t become a bit more realistic about just how infectious this disease is.

 

References:

Baize S, Pannetier D, Oestereich L, Rieger T, Koivogui L, Magassouba N, Soropogui B, Sow MS, Keïta S, De Clerck H et al. Emergence of Zaire Ebola Virus Disease in Guinea. N Engl J Med. 2014 Apr 16. doi: 10.1056/NEJMoa1404505

Cowling BJ, Ip DK, Fang VJ, Suntarattiwong P, Olsen SJ, Levy J, Uyeki TM, Leung GM, Peiris JS, Chotpitayasunondh T, Nishiura H, Simmerman JM. Modes of transmission of influenza B virus in households. PLoS One. 2014 Sep 30;9(9):e108850. doi: 10.1371/journal.pone.0108850. eCollection 2014.

Geisbert TW, Hensley LE, Larsen T, Young HA, Reed DS, Geisbert JB, Scott DP, Kagan E, Jahrling PB, Davis KJ. Pathogenesis of Ebola hemorrhagic fever in cynomolgus macaques: evidence that dendritic cells are early and sustained targets of infection. Am J Pathol. 2003 Dec;163(6):2347-70.

Gire, SK, Goba, A, Andersen, KG, … Sabeti PC et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science 345, 1369–1372. doi:10.1126/science.1259657

Jaax N, Jahrling P, Geisbert T, Geisbert J, Steele K, McKee K, Nagley D, Johnson E, Jaax G, Peters C. Transmission of Ebola virus (Zaire strain) to uninfected control monkeys in a biocontainment laboratory. Lancet. 1995 Dec 23-30;346(8991-8992):1669-71.

La Rosa G, Fratini M, Della Libera S, Iaconelli M, Muscillo M. Viral infections acquired indoors through airborne, droplet or contact transmission. Ann Ist Super Sanita. 2013;49(2):124-32 .doi: 10.4415/ANN_13_02_03.

Piercy TJ, Smither SJ, Steward JA, Eastaugh L, Lever MS. The survival of filoviruses in liquids, on solid substrates and in a dynamic aerosol. J Appl Microbiol. 2010 Nov;109(5):1531-9.

Towner JS, Rollin PE, Bausch DG, Sanchez A, Crary SM, Vincent M, Lee WF, Spiropoulou CF, Ksiazek TG, Lukwiya M, Kaducu F, Downing R, Nichol ST. Rapid diagnosis of Ebola hemorrhagic fever by reverse transcription-PCR in an outbreak setting and assessment of patient viral load as a predictor of outcome. J Virol. 2004 Apr;78(8):4330-41.

Weingartl HM, Embury-Hyatt C, Nfon C, Leung A, Smith G, Kobinger G. Transmission of Ebola virus from pigs to non-human primates. Sci Rep. 2012;2:811. doi: 10.1038/srep00811. Epub 2012 Nov 15.


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