Explained | Abaucin, the potential new antibiotic found with machine-learning

Researchers have used machine-learning to identify a potential new antibiotic against a challenging species of disease-causing bacteria, they reported in a paper published in Nature Chemical Biology on May 25.

The finding is important because of the rise of antimicrobial resistance and the struggle to identify new classes of antibiotics. It also clarifies how machines can help speed up the identification, discovery, and testing of new antibiotics that the world desperately needs – and potentially reduce the cost of this laborious process.

What is antimicrobial resistance?

Antimicrobial resistance is one of the great crises of the 21st century that, like climate change, was brought on by human activities and affects the whole world, regardless of borders or points of origin. It refers to the ability of microbes to evolve to resist the compounds humans have developed to beat them.

As a result, many drugs, but especially antibiotics, have become less effective or ineffective against disease-causing bacteria, allowing the diseases to become more prevalent again.

The global cost of antimicrobial resistance is expected to be $300 billion to more than $1 trillion every year. India is a ‘hotspot’ of antimicrobial resistance thanks to the overuse of antibiotics, among people and animals, and the improper disposal of pharmaceutical waste.

Efforts to develop new antibiotics have been hamstrung by the fact that many existing compounds have been derived from a smaller group. This implies a higher cost and longer timelines to identify new drugs that can push back the tide of resistance.

One promising pathway here is to use machine-learning models that can be ‘taught’ to look for molecules with properties considered desirable to fight specific species of bacteria. Such models can also sift through large datasets in a short duration.

What is Acinetobacter baumannii?

In their study, the MIT researchers looked for a molecule to fight Acinetobacter baumannii bacteria. A. baumannii is a Gram-negative bacteria, which means it has a protective outer membrane that allows it to resist antibiotics. It has been associated with hospital-acquired infections in India.

A. baumannii was acknowledged even a decade ago to be a “red alert” pathogen “primarily because of its exceptional ability to develop resistance to all currently available antibiotics”. This remains the case today.

Recently, a Department of Biotechnology initiative launched a programme to find compounds that could fight A. baumannii, among five other pathogens.

In 2019, researchers from the Jawaharlal Nehru Centre for Advanced Scientific Research reported finding a new molecule that seemed to be potent against A. baumannii but left human cells alone. “Based on the in vitro studies, we feel this molecule has immense potential for being developed as a future therapeutic agent,” the lead author of the study, Jayanta Haldar, had told The Hindu at the time.

How did the MIT group find the compound?

First, the MIT group compiled a list of 7,684 molecules already known to inhibit the growth of A. baumannii in biomolecular studies in the lab. They used these molecules to train a machine-learning model. Specifically, the model ‘learnt’ the various relevant properties of each molecule and combined them into a single, complicated vector.

This vector was fed into a neural network – a system that learns information in a way inspired by the human brain – that optimised for each molecule’s antibacterial properties. Finally, they applied this system to a database of 6,680 molecules to look for those that could fight A. baumannii.

This step yielded a shortlist of 240 molecules after just a few hours. The researchers tested them for activity against A. baumannii and found that nine of them inhibited bacterial growth by 80% or more. They further pared the list down to remove molecules that had structures that the bacteria might be ‘familiar’ with.

They were left with abaucin.

“When we run wet-lab experiments based on model predictions, the model will inevitably make both correct predictions and incorrect predictions. We then take this wet-lab data and retrain the model,” Jon Stokes, an assistant professor of biochemistry at McMaster University, Ontario, and one of the people behind the study, told The Hindu. “Through this iterative retraining process, the model can improve its predictive performance.”

What is abaucin?

Abaucin is known to compromise the normal function of a protein called CCR2. One of the authors of the study told CNN it may have originally been developed to treat diabetes.

The researchers wrote in their paper that abaucin had “modest bactericidal activity against A. baumannii” in a medium containing other compounds that the bacteria resisted. They also observed that when they removed abaucin from the medium “after [six hours] of treatment”, the A. baumannii regrew.

“This experiment was conducted to verify that abaucin did not sterilise bacterial cultures in vitro,” Dr. Stokes said. “It was simply another method – in addition to the conventional bacterial cell-viability experiments – to determine the efficacy of abaucin at reducing the viability of bacterial cells.”

Abaucin appears to work by disrupting lipoprotein trafficking in A. baumannii. A lipoprotein is a molecular framework required to transport fat inside cells. Based on genetic studies, the researchers believe that abaucin could be preventing lipoprotein produced inside the bacteria from moving to the outer membrane.

Abaucin is also “species-selective”: it only disrupts the growth of A. baumannii, not other Gram-negative bacteria. The authors write that this could “at least in part” be because A. baumannii uses a slightly different lipoprotein transport system.

What next?

The team plans to improve the model. “There are always gaps in chemical training datasets since you can only explore a finite region of chemical space,” Dr. Stokes said. “We therefore have to focus on continually gathering more robust training data with which to train our models, as well as designing new types of models that can make robust predictions using less training data.”

The team members are also “designing and testing” compounds that are chemically similar to abaucin, to see if they could be more potent against A. baumannii and to “improve its medicinal properties”.

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Is Using Antibiotics Before STI Exposure Risky?

Dec. 9, 2022 – The use of antibiotics to prevent – not just treat – sexually transmitted infections was a fringe idea just a decade ago. Now, it has the backing of several studies and a green light from a California public health department.

Jeffrey Klausner, MD, an infectious disease doctor and professor of public health at the University of Southern California, published the first randomized, controlled trial on whether doxycycline – an antibiotic commonly used to treat infections, including syphilis, chlamydia, and others – could prevent STIs back in 2015. At first, he says the National Institutes of Health didn’t want to fund the work, expressing concerns about the potential for antimicrobial resistance.

In a worst-case scenario, microbes change over time and no longer respond to medicine, and treatments stop working.

But a growing STI crisis has health care professionals searching for new options to help. 

“There were more than 170,000 cases of syphilis [in the U.S.] last year, and yearly cases have doubled over the past five years,” says Klausner. 

Repeated studies, with slightly different designs, also found lower rates of STIs among people who took doxycycline either daily or after sex. The method, known as pre-exposure doxycycline prophylaxis, now has its own name: doxyPEP.

And in October, the San Francisco Department of Public Health recommended doxyPEP for cisgender men and transgender women who have had a bacterial STI in the past year as well as condomless oral or anal sex with one or more cis men or trans women in the past year.

For those who meet the second criteria but haven’t been diagnosed with an STI in the last year, the department is advising a “shared decision-making approach,” where doctors discuss the benefits and risks of doxyPEP and prescribe it for patients who feel they will benefit, explains Stephanie Cohen, MD, the department’s acting director of disease prevention and control in the Population Health Division. 

The department also recommends doxyPEP for anyone diagnosed with syphilis, regardless of their gender or sexual partners.

Cohen says the U.S. has among the highest rates of STIs in the world and that “San Francisco, in particular, has some of the highest rates of sexually transmitted infections in the country.”

Latest Results

The most recent study of doxyPEP followed 501 men and trans women in Seattle and San Francisco. About two-thirds were taking HIV pre-exposure prophylaxis (HIV PrEP) and the rest were living with HIV. The results of that study, shared at the International AIDS Society (IAS) Conference earlier this year, found STIs were lower in the group told to take a single dose of doxycycline within 72 hours of unprotected sex. The rate of STI reduction was 66% in the HIV PrEP group and 62% in the HIV-positive group. 

“It can be a bit of a paradigm shift when you talk about using antibiotics before someone has an infection,” says Annie Luetkemeyer, MD, an infectious disease doctor and STI researcher at the University of California San Francisco, who co-led the study.

She recalls that when HIV PreP came out, there was pushback that it would lead to riskier sex or increased HIV drug resistance. In reality, “we’ve learned that for some segments of the population, having access to HIV PrEP has absolutely been essential to reduce the risk in HIV.”

Now, the pushback to doxyPEP is that it could lead to more antimicrobial resistance. But Luetkemeyer points out that the highest-risk populations, for whom the intervention is meant, are already exposed to high rates of antibiotic use, largely to treat STIs. 

In the study’s control group, the rate of STIs was 32% in a 3-month period, compared to 11% in the doxyPEP  group. But the doxyPEP use wasn’t perfect, and people in the study reported they took it after 87% of unprotected sexual encounters, on average.

“This isn’t a question of taking doxycycline versus taking no antibiotics,” Luetkemeyer says. In fact, the control group had a 50% higher exposure to ceftriaxone, a broad-spectrum antibiotic that has a higher potential, compared to doxycycline, of spurring drug-resistant gonorrhea.

Still, Luetkemeyer and Klausner say it’s important to monitor both drug-resistant STIs, as well as other infections, like doxycycline-resistant Staphylococcus aureus, to ensure that doxyPEP isn’t increasing them. 

Making Things Worse?

Luetkemeyer and her colleagues are now studying to see whether doxyPEP increases drug-resistant bacteria in those who take it. There are no red flags yet, but the research is ongoing.

While San Francisco’s public health department has given the first official endorsement of doxyPEP, doctors who work with high-risk populations have been prescribing it off-label for years. Klausner says that when he was treating patients living with HIV or at risk of HIV, he would prescribe prophylactic doxycycline either daily or after sex without a condom, depending on the patient’s frequency of sexual activity. For as-needed use, he would typically start with 15 doses at 200 milligrams, with refills.

He  also notes that there isn’t one, fixed group of people who need doxyPEP, pointing out that people may benefit for a period in between monogamous or relatively monogamous relationships, for example. 

“People’s risk profile is dynamic. … doxyPEP isn’t a strategy we’re encouraging people to adopt forever,” he says. 

And while doxyPEP could increase the risk of drug-resistant infections, it could also theoretically reduce it, by lowering the burden of STIs in the population, and the need for antibiotic treatments, Klausner says.

“It’s been known since the 1970s that sexually transmitted infections – like chlamydia, gonorrhea, syphilis – are perpetuated by a core group,” he says, typically men who have sex with many male partners over a month. “If you can control that spread of infection in the core group, the rest of the population is more protected.”

Cohen at the San Francisco Department of Public Health said that while “it’s definitely a priority as we roll it out to do surveillance to see if there’s any concerning signs of antimicrobial resistance,” for now, “the desire from the community to have new tools to protect themselves from STIs outweigh the potential and unknown risks of antimicrobial resistance.”

What is certain is that decades of experience shows that the only other prevention tool, condoms, aren’t going to be widely adopted by everyone, due to partner or personal preferences. 

“For some populations, with really soaring rates of sexually transmitted infections, what we currently have to offer isn’t working, so we really need new tools,” says Luetkemeyer.

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