In Puerto Rico, a new molecular bacteriology lab allows better control of foodborne outbreaks

Public health laboratory scientist performing tests

Sometimes a new facility is more than just four walls and a roof. In Puerto Rico, it was the springboard to improving foodborne outbreak response on the whole island.

In May 2019, Puerto Rico inaugurated a new molecular bacteriology laboratory at the Puerto Rico Department of Health’s laboratory (PRDOH) in San Juan. The original laboratory had been out of commission since Hurricane Maria devastated the island in 2017, and was rebuilt with APHL contracting support for repair and redesign. Today, the new laboratory boasts additional space for laboratory instruments, supplies and staff, as well as a reliable roof.

With the molecular bacteriology laboratory up and running, the PRDOH could take on a top goal: implementing whole genome sequencing (WGS) for foodborne outbreak response. WGS provides faster detection of pathogens than alternative methods, leading to rapid implementation of prevention and control measures and speedier investigation of foodborne outbreaks. Like other members of PulseNet, the US network for detection of foodborne outbreaks, the PRDOH needed to add WGS as another detection tool. Now, with a bit of assistance, it could.

APHL helped the PRDOH by procuring Illumina’s MiSeq Sequencing Platform and supporting installation and hands-on training for laboratory staff. The association also facilitated staff travel to CDC headquarters in Atlanta for a deeper dive into WGS methodology and procured BioNumerics software to upgrade the laboratory’s database so it could support WGS data. These efforts were all financed with crisis response funding from the US Centers for Disease Control and Prevention (CDC).

To date, the molecular bacteriology laboratory has made excellent progress toward implementing WGS methods for foodborne pathogens. The laboratory is now working toward validation of these methods; once validation is completed it will apply for certification under the Clinical Laboratory Improvement Amendments Program, which oversees standards and certification for human testing in the US. The laboratory also plans to introduce a new tool—matrix-assisted laser desorption/ionization – time of flight (MALDI-TOF) mass spectrometry—as a complement to WGS in the effort to detect foodborne outbreaks.

The post In Puerto Rico, a new molecular bacteriology lab allows better control of foodborne outbreaks appeared first on APHL Lab Blog.

In Puerto Rico, a new molecular bacteriology lab allows better control of foodborne outbreaks

Public health laboratory scientist performing tests

Sometimes a new facility is more than just four walls and a roof. In Puerto Rico, it was the springboard to improving foodborne outbreak response on the whole island.

In May 2019, Puerto Rico inaugurated a new molecular bacteriology laboratory at the Puerto Rico Department of Health’s laboratory (PRDOH) in San Juan. The original laboratory had been out of commission since Hurricane Maria devastated the island in 2017, and was rebuilt with APHL contracting support for repair and redesign. Today, the new laboratory boasts additional space for laboratory instruments, supplies and staff, as well as a reliable roof.

With the molecular bacteriology laboratory up and running, the PRDOH could take on a top goal: implementing whole genome sequencing (WGS) for foodborne outbreak response. WGS provides faster detection of pathogens than alternative methods, leading to rapid implementation of prevention and control measures and speedier investigation of foodborne outbreaks. Like other members of PulseNet, the US network for detection of foodborne outbreaks, the PRDOH needed to add WGS as another detection tool. Now, with a bit of assistance, it could.

APHL helped the PRDOH by procuring Illumina’s MiSeq Sequencing Platform and supporting installation and hands-on training for laboratory staff. The association also facilitated staff travel to CDC headquarters in Atlanta for a deeper dive into WGS methodology and procured BioNumerics software to upgrade the laboratory’s database so it could support WGS data.

To date, the molecular bacteriology laboratory has made excellent progress toward implementing WGS methods for foodborne pathogens. The laboratory is now working toward validation of these methods; once validation is completed it will apply for certification under the Clinical Laboratory Improvement Amendments Program, which oversees standards and certification for human testing in the US. The laboratory also plans to introduce a new tool—matrix-assisted laser desorption/ionization – time of flight (MALDI-TOF) mass spectrometry—as a complement to WGS in the effort to detect foodborne outbreaks.

The post In Puerto Rico, a new molecular bacteriology lab allows better control of foodborne outbreaks appeared first on APHL Lab Blog.

Virginia: PFGE and whole genome sequencing show Salmonella outbreak who’s boss

Virginia: PFGE and whole genome sequencing show Salmonella outbreak who’s boss | www.APHLblog.org
This year we celebrate the 20th anniversary of PulseNet USA. Stories from highlighting PulseNet successes will be featured each month. Learn more about PulseNet from APHL and CDC.

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By Marshall P. Vogt, MPH, district epidemiologist, VDH; Krisandra J. Allen, MPH, foodborne and waterborne disease epidemiology specialist, VDH; Jessica Watson Rosner, MPH, foodborne disease epidemiologist, VDH; Angela Myrick-West, MPH, regional epidemiologist, VDH; Lauren Turner, PhD, foodborne and advanced pathogen characterization lead scientist, DCLS

In August 2015, public health laboratory scientists at the Virginia Division of Consolidated Laboratory Services (DCLS) notified foodborne disease epidemiologists at the Virginia Department of Health (VDH) that they were sending data on four Salmonella Enteritidis isolates from a single rural county in central Virginia. They all had matching PFGE patterns. During case review, the epidemiologists identified four additional cases of salmonellosis from the same central Virginia county, but without matching PFGE patterns. All of the isolates were Salmonella Enteritidis, and the timing of the cases was also significant with all eight patients becoming ill within a few weeks of each other. Despite these commonalities, the eight Salmonella Enteritidis isolates encompassed three different PFGE patterns, which generally wouldn’t link them as a cluster. Were these simply sporadic individual cases or was it an emerging outbreak? Given the similar (albeit slightly different) PFGE patterns, similar location of the patients and relatively short time period of illness onset, there was enough to prompt further investigation.

As a PulseNet participating laboratory, DCLS also submitted the PFGE patterns and corresponding data to the PulseNet national database. PulseNet data in conjunction with epidemiological data can be used to quickly connect similar cases of foodborne illness to link them back to a common source.

Epidemiologists followed up on their earlier initial case interviews by immediately performing more in-depth interviews with the eight patients to identify potential commonalities prior to the onset of illness. Of the first four individuals with whom they spoke, three reported eating at the same local restaurant. The epidemiologists then began asking the remaining patients if they too had eaten at this specific restaurant during the seven days prior to getting sick. Six of the eight said “yes.”

Virginia: PFGE and whole genome sequencing show Salmonella outbreak who’s boss | www.APHLblog.orgWithin Virginia’s public health system, there is constant two-way communication between the public health laboratory scientists and the foodborne disease epidemiologists. In any investigation, even after turning over cluster information, the public health lab wants to hear what the epis are finding in their investigation; and the epis might want to know if additional testing or analysis is available to support their investigation. In this case, the epis told the public health lab scientists about their findings: despite the Salmonella Enteritidis isolates from the patients having three different PFGE patterns, six out of eight patients reported visiting the same restaurant within the same time period before becoming ill. It was beginning to sound like this was an outbreak with a common source, but more testing was needed to confirm.

The public health lab staff and epidemiologists agreed this information supported further testing using whole genome sequencing (WGS) to better understand the relationship between isolates. WGS offers a fast, inexpensive way to improve PulseNet’s surveillance, and it allows participating laboratories like DCLS to use resources more efficiently. In Virginia, this was the first application of WGS to a local outbreak investigation. WGS analysis showed that seven of the eight Salmonella Enteritidis isolates were highly genetically related. The WGS data provided support for the epidemiologists’ hypothesis that there was a common-source outbreak, most likely associated with a single restaurant.

Upon inspection, it was revealed that the restaurant had two serious issues related to temperature monitoring and control that were later corrected. No specific food was implicated during this investigation, but temperature abuse could have been a factor in allowing the proliferation of Salmonella in the facility.

While PFGE data helped identify the cluster and prompted an investigation, WGS information strengthened the correlation between the isolates and supported the epidemiologists’ investigation results to complete the story. Frequent communication and collaboration between the epis and public health lab scientists proved critical to both the identification and resolution of the outbreak.

Due to the success with this outbreak, the use of WGS for other investigations is ongoing in Virginia. WGS has been successfully used for several other outbreaks and continues to deliver that knockout punch for outbreak detection.

Interested in learning more about food safety or reporting foodborne illness in Virginia? Check out the Virginia Department of Health’s My Meal Detective site for food safety videos, restaurant inspection information and more!

Do you have a PulseNet success story that could be featured? Please send your 500 word document and a photo that best represents the story to PFGE@cdc.gov with subject line, “PulseNet Success Story- [Name of the State],” to be a part of the celebration!

Virginia: PFGE and whole genome sequencing show Salmonella outbreak who’s boss | www.APHLblog.org

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars | www.APHLblog.org (Photo credit: CDC)

Happy anniversary, PulseNet! For 20 years, this revolutionary national laboratory network has triggered outbreak investigations far more quickly than before its inception. As we celebrate this landmark, we are looking back at PulseNet’s impact on foodborne outbreak detection.

“PulseNet was transformational in the US for both food safety and for the nation’s public health labs,” said Scott Becker, APHL’s executive director. “It showcases the best of public health lab science and its ability to improve the health of all Americans.”

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars | www.APHLblog.orgA recent study published in the American Journal of Preventive Medicine looks at the health and economic benefits of PulseNet by measuring the reduction of reported illnesses, saved medical costs and averted productivity losses as the result of fewer people getting sick. (The study, “An Economic Evaluation of PulseNet: A Network for Foodborne Disease Surveillance,” was conducted by researchers at the Centers for Disease Control and Prevention (CDC) and The Ohio State University’s Department of Human Sciences. Data was collected between 1994 and 2009 were assembled and analyzed between 2010 and 2015.)

So exactly how valuable is PulseNet?

270,000 foodborne illnesses are prevented each year.

PulseNet collects data for nine bacteria including Campylobacter, Cronobacter, Listeria, Salmonella, Shiga-toxin producing E. coli, Shigella, Yersinia, Vibrio cholera, and Vibrio parahaemolyticus. When looking at the three most common foodborne pathogens (Salmonella, E. coli and Listeria), PulseNet prevents roughly 270,000 foodborne illnesses each year.

At least one billion pounds of contaminated food has been recalled thanks to PulseNet.

PulseNet triggered outbreak investigations have resulted in the withdrawal of at least one billion pounds of contaminated food from the marketplace.

PulseNet’s economic value is more than 70 times its cost.

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars | www.APHLblog.org (Photo credit: CDC)PulseNet costs public health agencies about $7 million per year to operate. By preventing illnesses, PulseNet saves $507 million in medical costs and lost productivity. That means for every $1 spent on this network, $70 is saved.

By identifying problems in food production and distribution systems, PulseNet makes our food safer to eat. PulseNet has led to changes in food production and new federal recommendations, and speeds up identification and recalls of tainted foods. All of these actions mean less contaminated food is making its way to our plates.

The future of PulseNet looks even more valuable as whole genome sequencing data is used more often in outbreak detection. Whole genome sequencing will provide significantly more detailed information about the bacteria, and make PulseNet more powerful and precise than ever.

More information about the 20th anniversary of PulseNet:

(Image credits: CDC)

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars | www.APHLblog.org (Photo credit: CDC)

Happy anniversary, PulseNet! For 20 years, this revolutionary national laboratory network has triggered outbreak investigations far more quickly than before its inception. As we celebrate this landmark, we are looking back at PulseNet’s impact on foodborne outbreak detection.

“PulseNet was transformational in the US for both food safety and for the nation’s public health labs,” said Scott Becker, APHL’s executive director. “It showcases the best of public health lab science and its ability to improve the health of all Americans.”

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars | www.APHLblog.orgA recent study published in the American Journal of Preventive Medicine looks at the health and economic benefits of PulseNet by measuring the reduction of reported illnesses, saved medical costs and averted productivity losses as the result of fewer people getting sick. (The study, “An Economic Evaluation of PulseNet: A Network for Foodborne Disease Surveillance,” was conducted by researchers at the Centers for Disease Control and Prevention (CDC) and The Ohio State University’s Department of Human Sciences. Data was collected between 1994 and 2009 were assembled and analyzed between 2010 and 2015.)

So exactly how valuable is PulseNet?

270,000 foodborne illnesses are prevented each year.

PulseNet collects data for nine bacteria including Campylobacter, Cronobacter, Listeria, Salmonella, Shiga-toxin producing E. coli, Shigella, Yersinia, Vibrio cholera, and Vibrio parahaemolyticus. When looking at the three most common foodborne pathogens (Salmonella, E. coli and Listeria), PulseNet prevents roughly 270,000 foodborne illnesses each year.

At least one billion pounds of contaminated food has been recalled thanks to PulseNet.

PulseNet triggered outbreak investigations have resulted in the withdrawal of at least one billion pounds of contaminated food from the marketplace.

PulseNet’s economic value is more than 70 times its cost.

20 years of PulseNet: Preventing thousands of illnesses and saving millions of dollars | www.APHLblog.org (Photo credit: CDC)PulseNet costs public health agencies about $7 million per year to operate. By preventing illnesses, PulseNet saves $507 million in medical costs and lost productivity. That means for every $1 spent on this network, $70 is saved.

By identifying problems in food production and distribution systems, PulseNet makes our food safer to eat. PulseNet has led to changes in food production and new federal recommendations, and speeds up identification and recalls of tainted foods. All of these actions mean less contaminated food is making its way to our plates.

The future of PulseNet looks even more valuable as whole genome sequencing data is used more often in outbreak detection. Whole genome sequencing will provide significantly more detailed information about the bacteria, and make PulseNet more powerful and precise than ever.

More information about the 20th anniversary of PulseNet:

(Image credits: CDC)

An Unsuspected Treat Contaminated with Listeria. How about them Caramel Apples?

Caramel apples

By  Mandip Kaur and Brendan Jackson

Oh, how sweet it is to enjoy a caramel apple when autumn sweeps in! Maybe you like yours topped with nuts? Sprinkles? How about chocolate?

But who knew that this past fall, certain caramel apples would be contaminated with the dangerous Listeria monocytogenes bacteria (here, Listeria for short), and cause illnesses across the nation? This was quite a curveball for public health investigators: listeriosis (the disease caused by Listeria) outbreaks are often traced to soft cheeses and sometimes to produce, but no one had ever reported an outbreak linked to whole apples.

Cracking the case

Text 1We scratched our heads over this one, but with the help of the Listeria Whole Genome Sequencing (WGS) Project and patient food history information, public health officials at the state and local levels, the Centers for Disease Control and Prevention (CDC), and the Food and Drug Administration (FDA) were able to identify the source of this outbreak and prevent more people from getting sick.

Public health investigators must work with accuracy and speed to stop an outbreak in its tracks and prevent illnesses–especially true in this Listeria outbreak. Thirty-five people who lived in 12 states became sick and sadly, Listeria contributed to at least three of the seven reported deaths. It was the largest US Listeria outbreak since the one linked to cantaloupe in 2011.

We used a three-pronged approach to solve the outbreak:

  • Laboratory: CDC, FDA, and state labs tested samples from patients, foods, and the environment for related strains of Listeria.
  • Epidemiology: Local, state, and CDC investigators interviewed patients about foods they ate before getting sick.
  • Traceback: FDA, state, and local officials investigated sources of the suspect food and its ingredients.

It all started in mid-November 2014, when lab scientists at CDC raised a flag after noticing that certain Listeria infections across the United States—out of the hundreds that had occurred that year—were genetically related, suggesting an outbreak.

The laboratory sideDNA

We used whole genome sequencing, or WGS, to help determine the scope of this outbreak. WGS provides high-resolution genetic information about the strains of Listeria causing illness. Since the 1990s, we’ve tested patient samples from across the country using pulsed-field gel electrophoresis, or PFGE, and then compared them in PulseNet (a national network of public health labs) to see which ones appear related.

In the past year, we’ve started using WGS, too, because it gives a much more detailed look at Listeria strains than PFGE. Thanks to WGS, we were able to detect related cases across the country a week faster than if we relied on PFGE alone. WGS also gave us a clearer picture of which illnesses ought to be included in the outbreak, and which were likely due to other sources.

The epidemiology front

How could we figure out what food was making people sick? We asked patients what they ate, of course. First, we used a standard questionnaire that asks about dozens of foods that could be linked to listeriosis, but when epidemiologists examined their responses, no food jumped out as the likely culprit.

Text 2Over the following weeks, epidemiologists re-interviewed patients and their families—sometimes multiple times—about all the foods they had eaten in the month before getting sick. Just try to remember everything you ate a month or two ago—no easy task! As you can imagine, some patients had several foods in common, and we chased a number of false leads.

Then we got a call from our colleagues in Texas about two patients who had eaten caramel apples. They thought they might be on to something, but could caramel apples really be a source of listeriosis? The quickest way to find out was to ask patients in other states. We were amazed as one patient after another answered “yes” to eating caramel apples.

By December 19, 2014, we learned that 15 of the 18 ill people interviewed had eaten commercially produced, prepackaged caramel apples. When we compared this information with data on how often people in general eat caramel apples, we could tell it was no coincidence—caramel apples were almost certainly to blame.

With evidence from the WGS findings and the food history information, we informed the public about the outbreak that day. We recommended that consumers not eat commercially produced, prepackaged caramel apples until we had more specific information about brands or stores–patients were reporting multiple brands, although most couldn’t remember a brand at all. 

The trace back tale

FDA and state officials traced back the caramel apple brands to multiple manufacturers. They even traced back all the ingredients in the caramel apples including the apples, caramel, toppings, and sticks—a difficult and time-intensive task.

As it turned out, all of the manufacturers in the investigation used apples from Bidart Bros., a California apple supplier. That was the only common denominator. After learning about the investigation, Bidart Bros. issued an initial recall of certain apples on December 22, 2014. Over the next week, three caramel apple manufacturers that received apples from Bidart Bros. issued recalls of their own.apples_crop

FDA and California health officials inspected the Bidart Bros. apple packing facility, which was closed for the season, and swabbed surfaces. On January 8, 2015, tests from the Bidart Bros. facility found strains of Listeria that were indistinguishable from the ones making patients sick. We had the third piece of the puzzle.

Soon after, the company issued a public recall of all apples produced in 2014, and CDC and FDA were able to narrow our guidance to consumers and inform them that they should avoid only caramel apples made from Bidart Bros. apples.

This outbreak investigation highlights how WGS, with its precision and speed, combined with detailed patient interviews about exposures can help identify the scope and source of an outbreak. CDC used these vital tools to keep the public informed and to advise people to not eat a contaminated caramel apple a day, to keep that Listeria away!