Skip to main content

Search

"Antibiotic Resistance in Louisiana"

fdabramo

I situate my research at the crossroads of history, philosophy, sociology and anthropology of science. In the past, I have focused on epigenetics, environmental research, empirical bioethics and environmental justice, within and outside the academia, as you can read here, or here. Now I am focusing on antibiotic resistance, and I use it as a lens to interpret the contradictions of the last century derived by industrial production, environmental degradation and biomedical cultures.

What interests me is the (at that time) new epistemic discourse that since the Forties has been produced to explain morphological changes of organisms produce when they experience new environmental conditions or perturbations. Through an important experiment at the base of the so-called concept of genetic assimilation, Conrad H. Waddington showed that a thermic shock can produce changes in wings’ veins of fruit flies, changes that can eventually be inherited across generations, without the environmental trigger that caused them.

This focus on production and (genetic) storage of biological differences elicited by the environment is nowadays coupled with the knowledge produced through microbiome research that explains the phenotypic patterns that recur across generations.

In a thought-provoking twist, with microbiome research, the focus shifts from production and inheritance of biological differences to production and inheritance of biological similarities. Microbiome research shows that some phenotypic patterns are allowed by ecological communities of microorganisms composing all animals. Bacteria allow the development and functioning of our bodies within an epistemic framework that is now key to understand biology. The network of vessels composing mammals’ stomach is formed through cellular differentiation and expression of genes coordinated by bacteria. The same is true for our immune system that is coordinated by gut bacteria. Food, which is an important aspect of our lives also impacts on this microecology and mediates between our biological functions and functioning of means of production whose parts dedicated to food production have immense importance for our biology and our internal and external ecologies. Antibiotic resistance is one of the crossroads where culture, biology, history and the Anthropocene meet. Indeed, Antibiotic resistance shows that means of production of our societies have an even more widespread, deep and allegedly unexpected impact on the biology of animals and plants. The microorganism can indeed adapt to resist the selective toxicity of antibiotics. Moreover, bacteria can transfer their genetic code horizontally, by touch, so that we can acquire antibiotic resistance by eating food that functions as a vector, by hosting lice on our heads and many other contacts. Bacteria that are resistant to antibiotics that have been used as growth factors in animal husbandry and to prevent diseases in livestock and aquaculture, spread in natural ecosystems and can be found in wild species. Rivers and estuarine waters are places hosting antibiotic resistance.

Searching on PubMed (the search engine for biomedical literature) titles of articles containing the terms ‘antimicrobial’ and ‘Louisiana’ I retrieved just one twelve-years-old article. No results with terms such as 'Mississippi' or 'New Orleans'. The authors collected and analysed Oysters from both waters of Louisiana Gulf and in restaurants and food retailers in Baton Rouge. In most of the samples gathered, scientists recognised the presence of bacteria (Vibrio parahaemolyticus and Vibrio vulnificus) resistant to specific antimicrobials. Food production is indeed the first factor in terms of the quantity of antibiotics used. This use and related antibiotic resistance impact all the living beings present in a specific area, and can easily travel around the globe through many channels. As Littman & Viens have highlighted, a sustainable future is a future without antibiotics as “there may be no truly sustainable way of using antibiotics in the long-run, as microorganisms have shown to be almost infinitely adaptable since the first introduction of antibiotics” (Littman & Viens 2015). But in the meanwhile, we need to use them and antibiotic resistance is a phenomenon that can be better studied through environmental research, by analysing wild species and emissions nearby livestock, for instance.

The study that I retrieved focuses on Oysters. But what about antibiotic resistance conveyed through food that is consumed by the most?

What about exposures of communities that are living in highly polluted areas?

And what is the additive value on antibiotic resistance for individuals who experience the presence of industrial pollutants and that live in areas where cancer epidemics are registered?

In this respect, there is a strategy to cope with the issue of antibiotic resistance promoted by the Center for Disease Control and Prevention. The document doesn’t mention any action to monitor and regulate the production and usage of antibiotics in livestock. Nevertheless, the CDC wants to scrutinise, through genome sequencing, “Listeria, Salmonella, Campylobacter, and E. coli and uploads sequence data into PulseNet for nationwide monitoring of outbreaks and trends.” Moreover, the document reports that “In Fiscal Year 2019, Louisiana will begin simultaneously monitoring these isolates for resistance genes. When outbreaks are detected, local CDC-supported epidemiologists investigate the cases to stop spread.”

The questions that I would like to ask (to local ppl, activists, researchers, practitioners..) are:

What could be the epidemiologic characteristics (socioeconomic status, gender, residence..) of the populations more vulnerable to antibiotic resistance?

What is the additive role of antibiotic resistance for people living in highly polluted areas?

What is the impact of antibiotic resistance for people and patients living in areas where cancer incidence is high?

 

And on the long run I am interested in imagining possible strategies to not only living with the problem but also to tackle the problem itself, which means to develop strategies to answer the questions:

Why antibiotic resistance, which is known since a century, it’s a problem on the rise?

What is the role and interest of capitalism, in terms of profit-making of corporations, knowledge production and environmental degradation, in not being able to resolve antibiotic resistance?

What can be strategies of local communities to tackle the problem and to promote environmental justice in terms of alliances with ecologists, doctors, epidemiologists and other activists?

pece_annotation_1472749646

seanw146

How did it happen (complete failure of cooling and reactors exploding)?

                Although the earthquakes killed workers and wreaked havoc on the region, Japans’ nuclear plants were not compromised by the quakes. It was only the tsunami that caused Fukushima Daiichi 1, 2, & 3’s power and backup power to fail, allowing the meltdown to take place. (world-nuclearworld-nuclear.org)

Why was radioactive water released (purposely) into the ocean as stated in the article?

                I found that although radioactive water was never “purposely” released into the ocean, it was known that it would likely end up there due to the failed ocean barrier wall. The water came from the necessity of cooling the overheated plants to prevent further meltdown and further contamination. The good news is that by 2012 the water within the Fukushima area was considered non-toxic to humans and aquatic species that live there. However, less is known about the effects on the ocean floor, where the radioactive matter is collecting in the sediment. (cnn.com)

What (if anything) has been done to further an international response team/plan for nuclear emergencies?

While my research turned up little results for international response development, countries have been developing their own response teams. China will have a national nuclear response team by the end of 2018 which will be made up of over 300 individuals and will meet the requirements for an international response team. This makes sense since China has more nuclear power plants than any other country in the world and expects to double its nuclear output over the next few decades. (firedirect.net) 

pece_annotation_1479098674

seanw146

Dr. Byron Good is a professor of Medical Anthropology at Harvard University. “Dr. Good’s present work focuses on research and mental health services development in Asian societies, particularly Indonesia. He has been a frequent visiting professor in the Faculty of Medicine, Gadjah Mada University, in Jogyakarta, Indonesia. He has conducted research with colleagues there on the early phases of psychotic illness for more than 10 years, and is co-director of the International Pilot Study of the Onset of Psychosis (IPSOS)” (Harvard bio).

pece_annotation_1473037830

a_chen

Due to the mass destruction of the area, the first few days’ data were not able to collect (not  only the destruction, but the rescue was the first priority). Therefore, the scientific committee  used models to simulate and analyse the data (might not be accurate on the early stage). After  the rescue, many countries have provided data to assist the works. For the long‐live radioactive  substances, the data was able to collect with the ground soils. Furthermore, prediction can be  made with the pass experiences and the basic models.

pece_annotation_1474239353

seanw146

The film takes more of an observer stance than an active role. The corrective action I imagine being effective is better preparedness on the local national and international level to be able to better respond not only to the direct impact of the disease but also the secondary social impacts to the community such as food, water, enforcing emergency orders, and travel restrictions. 

pece_annotation_1473630164

a_chen
Annotation of
In response to

The received data can be managed and visualised into charts or map tiles (e.g. open street maps or satellite maps). The data is visualized in the panel of “Visualize Your Story “with four modes of visual features.

  • Branded Deployment
  • Map Mode
  • Timeline Mode
  • Activity Analytics Mode