Tag Archives: Acinetobacter

Long-ignored antibiotic could help fight against multi-drug resistant bacteria

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“The end of modern medicine as we know it.” That’s how the then-director general of the World Health Organization characterized the creeping problem of antimicrobial resistance in 2012. Antimicrobial resistance is the tendency of bacteria, fungus and other disease-causing microbes to evolve strategies to evade the medications humans have discovered and developed to fight them. The evolution of these so-called “super bugs” is an inevitable natural phenomenon, accelerated by misuse of existing drugs and intensified by the lack of new ones in the development pipeline.

Without antibiotics to manage common bacterial infections, small injuries and minor infections become potentially fatal encounters. In 2019, more than 2.8 million antimicrobial-resistant infections occurred in the United States, and more than 35,000 people died as a result, according to the Centers for Disease Control and Prevention (CDC). In the same year, about 1.25 million people died globally. A report from the United Nations issued earlier this year warned that number could rise to ten million global deaths annually if nothing is done to combat antimicrobial resistance.

For nearly 25 years, James Kirby, MD, director of the Clinical Microbiology Laboratory at Beth Israel Deaconess Medical Center (BIDMC), has worked to advance the fight against infectious diseases by finding and developing new, potent antimicrobials, and by better understanding how disease-causing bacteria make us sick. In a recent paper published in PLOS Biology, Kirby and colleagues investigated a naturally occurring antimicrobial agent discovered more than 80 years ago.

Using leading-edge technology, Kirby’s team demonstrated that chemical variants of the antibiotic, called streptothricins, showed potency against several contemporary drug-resistant strains of bacteria. The researchers also revealed the unique mechanism by which streptothricin fights off bacterial infections. What’s more, they showed the antibiotic had a therapeutic effect in an animal model at non-toxic concentrations. Taken together, the findings suggest streptothricin deserves further pre-clinical exploration as a potential therapy for the treatment of multi-drug resistant bacteria.

We asked Dr. Kirby to tell us more about this long-ignored antibiotic and how it could help humans stave off the problems of antimicrobial resistance a little longer.

Q: Why is it important to look for new antimicrobials? Can’t we preserve the drugs we have through more judicious use of antibiotics?

Stewardship is extremely important, but once you’re infected with one of these drug-resistant organisms, you need the tools to address it.

Much of modern medicine is predicated on making patients temporarily — and sometimes for long periods of time — immunosuppressed. When these patients get colonized with these multidrug-resistant organisms, it’s very problematic. We need better antibiotics and more choices to address multidrug resistance.

We have to realize that this is a worldwide problem, and organisms know no borders. So, a management approach for using these therapies may work well in Boston but may not in other areas of the world where the resources aren’t available to do appropriate stewardship.

Q: Your team investigated an antimicrobial discovered more than 80 years ago. Why was so little still known about it?

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The first antibiotic, penicillin, was discovered in 1928 and mass produced for the market by the early 1940s. While a game-changing drug, it worked on only one of the two major classes of bacteria that infect people, what we call gram-positive bacteria. The gram-positive bacteria include staphylococcal infections and streptococcal infections which cause strep throat, skin infections and toxic shock. There still was not an antibiotic for the other half of bacteria that can cause human infections, known as gram-negative organisms.

In 1942, scientists discovered this antibiotic that they isolated from a soil bacterium called streptothricin, possibly addressing gram-negative organisms. A pharmaceutical company immediately licensed the rights to it, but the development program was dropped soon after when some patients developed renal or kidney toxicity. Part of the reason for not pursuing further research was that several additional antibiotics were identified soon thereafter which were also active against gram-negatives. So, streptothricin got shelved.

Q: What prompted you to look at streptothricin specifically now?

It was partly serendipity. My research laboratory is interested in finding new, or old and forgotten, solutions to treat highly drug-resistant gram-negative pathogens like E. coli or Klebsiella or Acinetobacter that we commonly see in hospitalized, immunocompromised patients. The problem is that they’re increasingly resistant to many if not all of the antibiotics that we have available.

Part of our research is to understand how these superbugs cause disease. To do that, we need a way to manipulate the genomes of these organisms. Commonly, the way that’s done is to create a change in the organism linked with the ability to resist a particular antibiotic that’s known as a selection agent. But for these super resistant gram-negative pathogens, there was really nothing we could use. These bugs were already resistant to everything.

We started searching around for drugs that we could use, and it turns out these super resistant bugs were highly susceptible to streptothricin, so we were able to use it as a selection agent to do these experiments.

As I read the literature on streptothricin and its history, I had the realization that it was not sufficiently explored. Here was this antibiotic with outstanding activity against gram-negative bacteria – and we confirmed that by testing it against a lot of different pathogens that we see in hospitals. That raised the question of whether we could get really good antibiotic activity at concentrations that are not going to cause damage to the animal or person in treatment.

Q: But it did cause kidney toxicity in people in 1942. What would be different now?

What scientists were isolating in 1942 was not as pure as what we are working with today. In fact, what was then called streptothricin is actually a mixture of several streptothricin variants. The natural mixture of different types of streptothricins is now referred to as nourseothricin.

In animal models, we tested whether we could kill the harmful microorganism without harming the host using a highly purified single streptothricin variant. We used a very famous strain of Klebsiella pneumoniae called the Nevada strain which was the first pan-drug-resistant, gram-negative organism isolated in the United States, an organism for which there was no treatment. A single dose cleared this organism from an infected animal model while avoiding any toxicity. It was really remarkable. We’re still in the very early stages of development, but I think we’ve validated that this is a compound that’s worth investing in further studies to find even better variants that eventually will meet the properties of a human therapeutic.

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Q. How does nourseothricin work to kill gram-negative bacteria?

That’s another really important part of our study. The mechanism hadn’t been figured out before and we showed that nourseothricin acts in a completely new way compared to any other type of antibiotic.

It works by inhibiting the ability of the organism to produce proteins in a very sneaky way. When a cell makes proteins, they make them off a blueprint or message that tells the cell what amino acids to link together to build the protein. Our studies help explain how this antibiotic confuses the machinery so that the message is read incorrectly, and it starts to put together gibberish. Essentially the cell gets poisoned because it’s producing all this junk.

In the absence of new classes of antibiotics, we’ve been good at taking existing drugs like penicillin for example and modifying them; we’ve been making variations on the same theme. The problem with that is that the resistance mechanisms against penicillin and other drugs already exist. There’s a huge environmental reservoir of resistance out there. Those existing mechanisms of resistance might not work perfectly well against your new variant of penicillin, but they will evolve very quickly to be able to conquer it.

So, there’s recognition that what we really want is new classes of antibiotics that act in a novel way. That’s why streptothricin’s action uncovered by our studies is so exciting. It works in a very unique way not seen with any other antibiotic, and that is very powerful because it means there’s not this huge environmental reservoir of potential resistance.

Q. You emphasize these are early steps in development. What are the next steps?

My lab is working very closely with colleagues at Northeastern University who figured out a way to synthesize streptothricin from scratch in a way that will allow us to cast many different variants. Then we can look for ones that have the ideal properties of high potency and reduced toxicity.

We are also continuing our collaboration with scientists at Case Western Reserve University Medical Center, diving more deeply to understand exactly how this antibiotic works. Then we can use that fundamental knowledge in our designs of future variants and be smarter about how we try to make the best antibiotic.

We have great collaborators that have allowed us to pursue a project that crosses multiple fields. This work is an example of collaborative science really at its best.

Co-authors included first author Christopher E. Morgan and Edward W. Yuof Case Western Reserve; Yoon-Suk Kang,Alex B. Green, Kenneth P. Smith, Lucius Chiaraviglio, Katherine A. Truelson, Katelyn E. Zulauf, Shade Rodriguez, and Anthony D. Kang of BIDMC; Matthew G. Dowgiallo,Brandon C. Miller, and Roman Manetsch of Northeastern University.

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New compound with antibacterial activity shows promising results within one hour in laboratory trials

Resistance to antibiotics is a problem that alarms the medical and scientific community. Bacteria resistant to three different classes of antibiotics, known as multi-drug resistant (MDR) bacteria, are far from rare. Some are even resistant to all currently available treatments and are known as pan-drug resistant (PDR). They are associated with dangerous infections and listed by the World Health Organization (WHO) as priority pathogens for drug development with maximum urgency.

An article published in a special issue of the journal Antibiotics highlights a compound with antibacterial activity that presented promising results within one hour in laboratory trials.

The study was led by Ilana Camargo, last author of the article, and conducted during the doctoral research of first author Gabriela Righetto at the Molecular Epidemiology and Microbiology Laboratory (LEMiMo) of the University of São Paulo’s São Carlos Institute of Physics (IFSC-USP) in Brazil.

The compound we discovered is a new peptide, Pln149-PEP20, with a molecular framework designed to enhance its antimicrobial activity and with low toxicity. The results can be considered promising insofar as the trials involved pathogenic bacteria associated with MDR infections worldwide.”

Adriano Andricopulo, co-author of the article

Although novel antibacterial drugs are urgently needed, the pharmaceutical industry is notoriously uninterested in pursuing them, mainly because research in this field is time-consuming and costly, requiring very long lead times to bring viable active compounds to market.

The Center for Innovation in Biodiversity and Drug Discovery (CIBFar), a Research, Innovation and Dissemination Center (RIDC) set up and funded by FAPESP, looks for molecules that can be used to combat multidrug-resistant bacteria.

Camargo and Andricopulo are researchers at CIBFar, as are two other co-authors who study promising bactericidal compounds: Leila Beltramini and José Luiz Lopes.

For over a decade, the group formed by the collaboration between Beltramini and Lopes has analyzed Plantaricin 149 and its analogs. Plantaricins are substances produced by the bacterium Lactobacillus plantarum to combat other bacteria.

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Lactobacillus plantarum is commonly found in nature, especially in anaerobic plant matter, and in many fermented vegetable, meat and dairy products.

In the case of Plantaricin 149, Japanese researchers were the first to report its bactericidal action (in 1994) and since then scientists have been interested in obtaining more efficient synthetic analogs (molecules with small structural differences). In 2007, one of the first projects completed by the CIBFar team showed that the peptide inhibits pathogenic bacteria such as Listeria spp. and Staphylococcus spp. They then began studying synthetic analogs with stronger bactericidal activity than the original (causing more damage to the membrane of the combated microorganisms).

With the support of a scholarship from FAPESP, Righetto synthesized 20 analogs of Plantaricin 149, finding that Pln149-PEP20 had the best results so far and was also half the size of the original peptide. “The main advances in our research consist of the development of this smaller, more active and less toxic molecule, and the characterization of its action and propensity to develop resistance. It has proven to be highly promising in vitro – active against MDR bacteria and extensively resistant bacteria,” said Camargo, principal investigator for the project.

LEMiMo, the laboratory where the studies were conducted, has experience in characterizing bacterial isolates involved in outbreaks of hospital infections and holds a collection of bacteria selected for these trials in search of novel active compounds. The bacteria have the resistance profiles currently of greatest concern and were isolated during hospital outbreaks.

They are known in the scientific community by the term ESKAPE, an acronym for the scientific names of six highly virulent and antibiotic-resistant bacterial pathogens: Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.

Further research can now be conducted to investigate the molecule’s action mechanism in more depth, to look for formulations, and possibly to develop an application. “In terms of the action mechanism, it’s also possible to use the cell morphology of the bacteria to identify cellular pathways affected by the peptide,” Righetto said. “As for optimization, the molecule can be functionalized by being linked to macrostructures, and the amino acid sequence can be modified.” Research is also needed on its cytotoxicity and on its selectivity (whether it affects healthy cells).

“We’re living in times of major global public health hazards due to a lack of antimicrobials that can be used to treat infections caused by extremely resistant bacteria. Antimicrobial peptides are targets of great interest for the development of novel candidate drugs. This novel molecule has the potential to be used as an innovative antimicrobial therapy, but further modifications and molecular optimizations still need to be investigated,” Andricopulo said.

Publication of the article also involved Harvard Medical School’s Infectious Disease Institute in Boston (USA) via researchers Paulo José Martins Bispo and Camille André.

Source:
Journal reference:

Righetto, G. M., et al. (2023). Antimicrobial Activity of an Fmoc-Plantaricin 149 Derivative Peptide against Multidrug-Resistant Bacteria. doi.org/10.3390/antibiotics12020391.

Breast milk microbes shape infant gut health

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A new paper published in the Frontiers in Microbiology explores the contribution of human breast milk to the establishment of the infant gut microbiome.

Study: Human milk-associated bacterial communities associate with the infant gut microbiome over the first year of life. Image Credit: Pavel Ilyukhin / Shutterstock.com Study: Human milk-associated bacterial communities associate with the infant gut microbiome over the first year of life. Image Credit: Pavel Ilyukhin / Shutterstock.com

Introduction

Breastfeeding is encouraged as the first and exclusive food of infants for at least the first six months of life. In addition to its nutritional content, breast milk contributes significantly to the formation of the infant gut microbiome. This is because of its high content of immune cells, oligosaccharides carrying glycosyl residues, fatty acids, and some microbes.

Both breast milk bacteria and skin microbes from the maternal nipple reach and establish themselves in the infant’s gut. Bacteria may be shielded by secretory immunoglobulin A (sIgA) covering the immune system, thus allowing them to enter the gut intact.   

The infant gut microbiome (IGMB) is important for both infant development and immunity, as well as modulating conditions like atopy and body mass composition. However, earlier research on potential associations between the IGMB and breast milk microbiota has been limited to analyzing samples from corresponding time points.

The current study included almost 190 dyads from New Hampshire. Breast milk and infant stool samples were collected at around six weeks, four months, six months, nine months, and one year from birth, which allowed the scientists to identify correlations that developed over time.

What did the study show?

In the study population, with a mean age of 32 years, most were White and had a normal body mass index (BMI) during pregnancy. About 25% of deliveries occurred through Cesarean section (C-section), and antibiotic exposure prior to lactation occurred in over half of mothers.

Most babies were almost full term at birth, with only 3% being exposed to antibiotics by four months of life. By one year, about 30% of infants had been exposed to antibiotics.

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About 75% and 40% of infants did not receive any formula up to six weeks and four months, respectively. Most infants began eating solid food by six months.

Three breast milk microbiome types (BMTs) were identified in the six-week breast milk samples. These could be differentiated by the relative proportions of four bacterial genera, including Streptococcus, Staphylococcus, Pseudomonas, and Acinetobacter, as well as by the microbial diversity.

At six weeks, the gut microbiome in infants exhibited four six-week infant gut microbiome types (6wIGMTs). These had different abundances of Bifidobacterium, Bacteroides, Clostridium, Streptococcus, and Escherichia/Shigella.

The 6wIGMT correlated with the 6wBMT in male infants and those born by C-section. Notably, the same microbe was likely to be the most abundant within the dyads at this point.

By age one, the predominant difference in microbiome composition was due to Bacteroides. There was no association between the 6wBMT and 12mIGMT, which is likely due to the intake of solid foods by infants at this age. The transition to a primarily solid diet causes the infant microbiome to be dominated by other microbes, such as Bifidobacterium and Bacteroidetes, both of which are more abundant in the adult gut.

At six weeks, the BMT was associated with 6wIGMT in all infants but more strongly in male infants born by C-section. Male infants also had a higher proportion of microbes from breast milk present in their stool.

While infants delivered by C-section have a reduced colonization by maternal stool microbiota, their colonization by breast milk microbiota is higher than vaginally delivered infants.”

This could be due to the reduced microbial diversity and Bacteroides depletion in the IGMB of C-section-delivered infants, which makes it easier for breast milk microbes to colonize the gut.

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Male infants appeared to show a greater effect of the breast milk microbes on their gut microbiome. This may be because they exhibit less microbial diversity, with fewer Clostridiales and more Enterobacteriales abundance than is observed in female infants. The male infant’s gut microbiota is also more susceptible to stress and environmental exposures.

Overall, the breast milk microbial communities correlated most strongly with those found in infant stool samples that were collected at a later time point. For example, Pantoea in breast milk at four and six months was correlated with infant stool collected at nine and twelve months, respectively. These findings require further validation in future research.

What are the implications?

The identification of microbial clusters in human milk and infant feces that were shared within the mother-infant pair at six weeks is a striking finding in this study. The delay in cluster sharing and the association with C-section were associated with stronger correlations.

The findings of this study agree with earlier reports on the associations of various microbes in breast milk and the infant gut. Notably, the current study adds to previous data by identifying correlations between different taxa in these two sites.

The scientists postulate that microbes within communities may show direct interactions, such as the transmission of a microbe present in the infant oral cavity to the breast in this case, as well as the intake of breast milk by the infant. In addition, they may show indirect interactions through nutrients like fatty acids and milk sugars or other bacterial metabolites that influence both communities.

With the observed shift in breast milk microbial diversity over time, long-term studies may be needed to understand the breadth of microbial exposures during infancy. The change in IGMTs over time should also be better characterized and their relevance assessed.

These results suggest that milk microbial communities have a long-term effect on the infant gut microbiome both through sharing of microbes and other molecular mechanisms.”

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Journal reference:
  • Lundgren, S. N., Madan, J. C., Karagas, M. R., et al. (2023). Human milk-associated bacterial communities associate with the infant gut microbiome over the first year of life. Frontiers in Microbiology. doi:10.3389/fmicb.2023.1164553.

Study reveals alarming global burden of antimicrobial resistance in bacterial infections

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In a recent article published in the Lancet journal, researchers quantified the global bacterial antimicrobial resistance (AMR) burden to present deaths and disability-adjusted life-years (DALYs) attributable to and associated with 23 pathogens, 12 major infectious syndromes, 18 drug categories, and 88 pathogen–drug combinations.

They considered two counterfactual scenarios and used consistent methods to arrive at the study estimates as they had no clue of the extent to which susceptible or no infection would replace drug-resistant infections in a scenario when there was no drug resistance.

Study: Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Image Credit: Tatiana Shepeleva / ShutterstockStudy: Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Image Credit: Tatiana Shepeleva / Shutterstock

Background

Bacterial AMR, an emerging public health threat, is making antibiotic use futile or less effective against many common bacterial diseases affecting animals and humans. A United Kingdom (UK) government-commissioned review of AMR stated that it could claim 10 million lives annually by 2050.

The World Health Organization (WHO) and numerous other researchers have also raised that AMR spread is a pressing issue that needs immediate attention; if left unaddressed, rising AMR will make several bacterial pathogens highly fatal in the near future. The challenge is to gather current data on pathogen–drug combinations contributing to actual bacterial AMR burden for all world regions, even those with minimal surveillance.

According to the authors, studies have only reported AMR-related data for specific regions and a limited number of pathogens and pathogen–drug combinations. For instance, the United States Centers for Disease Control and Prevention (US-CDC) published a report in 2019 on AMR-related deaths for 18 AMR-related threats using surveillance data.

Similarly, Cassini et al. estimated the burden of eight and 16 pathogens and pathogen–drug combinations, respectively, for the European region between 2007 and 2015. Despite the significant contributions made by these studies to the field of AMR, there is a lack of comprehensive global estimates covering all locations, all pathogens, and all pathogen–drug combinations contributing to the rising burden of bacterial AMR.

About the study

In the present study, researchers used predictive statistical modeling to generate global estimates of bacterial AMR burden for all world locations, covering 204 countries for which they used all available data from the Global Burden of Diseases (GBD), Injuries, and Risk Factors study. The GBD study collated age- and gender-specific estimates for 369 injuries and illnesses in 204 nations and territories between 1990 and 2019.

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They retrieved data from published scientific literature, multisite research collaborations, clinical trials, research institutes based in low-income and middle-income countries (LMICs), public and private hospital records, diagnostic testing data, surveillance systems of pharmaceutical companies, global, national, and enhanced surveillance systems, and other relevant sources, encompassing 471 million (MN) patient records or isolates and 7,585 study-location years, which they gathered using varied strategies and used for study estimations.

The researchers modeled deaths and DALYs for 204 countries and territories to present cumulative estimates of AMR burden globally and for 21 GBD regions, including seven GBD super-regions.

For the first counterfactual scenario, where susceptible infections substituted all drug-resistant infections, they estimated only deaths and DALYs directly due to AMR. For the second counterfactual scenario, where no infection substituted all drug-resistant infections, they estimated all deaths and DALYs related to resistant infections. Both estimates had different utilities; however, both could inform the development of intermediation strategies to regulate AMR spread.

The study approach comprised ten estimation steps within five all-encompassing modeling components, each with varied data requirements; consequently, input data for each modeling component also varied.

Study findings

Substituting drug-resistant infections by no infections (first counterfactual scenario) and susceptible infections (second counterfactual scenario) would have saved 4.95MN and 1.27MN deaths, respectively, in 2019, implying that in 2019, the global AMR burden related to drug-resistant infections for 88 pathogen–drug combinations was ~4.95MN deaths (95% UI), of which drug resistance alone caused 1.27MN deaths. Moreover, after ischaemic heart disease and stroke, AMR accounted for most deaths in 2019.

Additionally, the study analysis revealed that AMR-related all-age death rates were highest in some LMICs, as opposed to the common notion that the burden of bacterial AMR would be higher in high-resource settings with higher antibiotic consumption. Indeed, AMR is emerging as a more serious problem for some of the world’s poorest countries. The authors noted the highest AMR-related death rates in sub-Saharan Africa and South Asia as a function of the prevalence of resistance and critical lower respiratory, bloodstream, and intra-abdominal infections, in these regions.

The study also highlighted that in LMICs, there are other drivers of the higher AMR burden, like a scarcity of laboratory infrastructure for microbiological testing needed to narrow antibiotic use or make it more targeted. Among other factors, counterfeit antibiotics, poor sanitation and hygiene, poor regulations on antibiotics use, etc., also drive resistance.

Further, the researchers identified six pathogens, E. coli, K. pneumoniae, S. pneumoniae, A. baumannii, S. aureus, and P. aeruginosa, who contributed most to the burden of AMR in 2019; they accounted for 73.4% (95% uncertainty interval) of deaths attributable to bacterial AMR. WHO has recognized all six as priority pathogens; however, except S. pneumoniae, targeted primarily through pneumococcal vaccination, none is the focus of global health intervention programs.

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Seven pathogen–drug combinations caused more than 50000 deaths, highlighting the need for expanding infection prevention and control (IPC) policies targeting the deadliest combinations, bolstering vaccine and antibiotic development, and improving access to essential second-line antibiotics where needed. Furthermore, resistance to β-lactam antibiotics, e.g., penicillins and cephalosporins, and fluoroquinolones accounted for >70% of deaths attributable to AMR across pathogens. These antibiotics are the first line of empirical treatment for severe infections.

In 2017, the WHO published a priority list to inform research priorities related to new antibiotics for pathogens with multidrug resistance that caused deadly infections. However, this list covered only five of the seven pathogen–drug combinations estimated to have caused the most deaths in 2019; for instance, this list did not feature fluoroquinolone-resistant E. coli and meticillin-resistant S. aureus only as a “high” but not a “critical” priority.

Per study estimates, the magnitude of bacterial AMR as a global public health issue is as much as human immunodeficiency virus (HIV) and malaria, perhaps, much higher. Additionally, the AMR pattern varied with geographical location, pathogens, and pathogen–drug combinations. Thus, the regional estimates made in this study could help tailor local responses as the ‘One Size Fits All’ approach might not be appropriate.

Despite concerted data collection efforts, high-quality data on AMR was sparsely available for many LMICs. Nevertheless, an improved scientific understanding of this rapidly emerging health threat should be the highest priority for global health policymakers.

Conclusions

The present study used major methodological innovations, two varying AMR counterfactual scenarios, and comprehensive data to fetch novel insights into the global AMR burden. Most importantly, it incorporated models tested and iterated over years during GBD study analysis. So, when used collectively, these models provided a complete estimate of AMR burden with robust geographical coverage.

Further, the researchers compared findings with other causes of death, offering much-needed context on the scale of the burden of this rapidly growing public health problem. The study analysis confirmed that bacterial AMR posed the biggest threat to human health in sub-Saharan Africa and South Asia, involved a diverse set of pathogens, and is exceptionally high for multiple essential antibiotic classes, including β-lactams and fluoroquinolones.

Furthermore, efforts to build and enhance laboratory infrastructure and bolster national & global AMR plans of action are essential to addressing the universal AMR burden. Future studies should also evaluate the indirect effects of AMR, such as its effect on the prophylaxis of infections in organ transplant recipients.

In the future, the study estimates could inform treatment guidelines against many predominant bacterial pathogens for a given infectious syndrome, which, along with estimates of pathogen–drug burden, could inform their treatment guidelines customized for a specific location.

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Journal reference:

Differences in gut microbiome diversity attributed to dietary patterns in children with obesity

In a recent study published in Microbiology Spectrum, researchers found that differences in the dietary patterns of children with normal weight and those who were overweight or obese contributed to variations in the gut microbiome diversity, virulence factors of gut bacteria, and metabolic function.

Study: Virulence factors of the gut microbiome are associated with BMI and metabolic blood parameters in children with obesity. Image Credit: Africa Studio / Shutterstock.com

Study: Virulence factors of the gut microbiome are associated with BMI and metabolic blood parameters in children with obesity. Image Credit: Africa Studio / Shutterstock.com

Background

A growing body of evidence indicates that gut microbiota has a significant role in various aspects of host metabolism, including digestion, harvesting of energy, and induction of low-grade inflammation. In addition, the genetic factors of the host, as well as other characteristics such as age, diet, immunity, and gender, influence the gut microbiome composition.

Research shows that bacterial diversity in the gut and the individual’s functional capacity vary between those with normal weight and obese individuals. Gut microbiome profile variations have also been linked to metabolic disorders, lipid accumulation, and inflammation.

Lipogenesis in the liver and the regulation of appetite through hormones are also associated with gut microbiome genes.

Aside from its role in adipogenesis, superoxide reduction, and the metabolism of vitamins, gut microbiota also regulates innate immunity and the systemic, low-grade inflammatory state that can contribute to fat deposition and obesity. Therefore, Dysbiosis, which is the imbalance of gut microbiota, combined with diet, likely has a significant role in the development of obesity.

About the study

In the present study, researchers conducted a cross-sectional analysis of data from 45 children between the ages of six and 12 to determine the association between gut microbiota and obesity.

Questionnaires were used to obtain information on dietary frequencies, gender, age, and body mass index (BMI). Based on the World Health Organization (WHO) z-scores, in which BMI is adjusted for gender and age, the children were classified into two categories of overweight and obese (OWOB) and normal weight (NW).

Data from food frequency questionnaires were used to classify the dietary habits of children into two nutritional patterns. To this end, Pattern 1 was characterized by complex carbohydrates and proteins, whereas Pattern 2 comprised simple carbohydrates and saturated fats.

Shotgun metagenomics was used to assess the taxonomic diversity of the gut microbiota and metabolic capacity from genomic deoxyribonucleic acid (DNA) extracted from fecal samples. Clade-specific markers were used for the taxonomic and functional assessment of the gut bacteria. Additionally, reverse Simpson and Shannon diversity indices were calculated.

The virulence factor database was used to screen for virulence factor genes, whereas multivariate linear modeling was used to determine the association between the taxa, virulence factors, and function of gut microbes and covariates of diet, serology, and anthropometric measurements.

Study findings

Significant differences between the alpha and beta diversity of the gut microbiota were observed between the children in the NW and OWOB groups, thus suggesting that specific phyla of bacteria contribute to higher levels of energy harvest.

Furthermore, species such as Ruminococcus species, Victivallis vadensis, Mitsuokella multacida, Alistipes species, Clostridium species, and Acinetobacter johnsonii were linked to healthier metabolic parameters.

In contrast, an increase in the abundance of bacteria such as Veillonellaceae, Lactococcus, Fusicatenibacter saccharivorans, Fusicatenibacter prausnitzii, Eubacterium, Roseburia, Dialister, Coprococcus catus, Bifidobacterium, and Bilophila was identified in children with pro-inflammatory conditions and obesity.

Bacteria such as Citrobacter europaeus, Citrobacter youngae, Klebsiella variicola, Enterococcus mundtii, Gemella morbillorum, and Citrobacter portucalensis were associated with higher lipid and sugar intake, as well as higher blood biochemistry values and anthropometric measurements.

Diets high in fats and simple carbohydrates have been associated with the abundance of Citrobacter and Klebsiella species in the gut. Moreover, previous studies have indicated that these bacterial species are potential markers of inflammation, obesity, and an increase in fasting glucose.

The metabolism of menaquinones and gamma-glutamyl was negatively associated with BMI. Furthermore, the microbiomes of children in the NW group preserved a more consistent alpha diversity of virulence factors, while OWOB microbiomes exhibited a dominance of virulence factors.

Differences in the metabolic capacities pertaining to biosynthesis pathways of vitamins, carriers, amino acids, nucleotides, nucleosides, amines, and polyamines, as well as the degradation of nucleotides, nucleosides, and carbohydrate-sugars, were also found between the NW and OWOB groups.

Conclusions

Dietary profiles and the diversity of gut microbiota were found to be interconnected and associated with changes in metabolic parameters, the dominance of virulence factors, and obesity. Changes in gut microbiome diversity and relative abundance have been linked to obesity, inflammatory responses, and metabolic disorders.

Taken together, the study findings suggested that the prevalence of virulence factors, as well as the metabolic and genetic roles of gut microbiota in increasing inflammation, can help identify individuals at an increased risk of childhood obesity.

Journal reference:
  • Murga-Garrido, S. M., Ulloa-Pérez, E. J., Díaz-Benítez, C. E., et al. (2023). Virulence factors of the gut microbiome are associated with BMI and metabolic blood parameters in children with obesity. Microbiology Spectrum. doi:10.1128/spectrum.03382-22

Screening patients for hidden reservoirs of bacteria could supplement infection-control efforts in hospitals

Hospitals have strict hygiene and sanitation protocols to protect patients from bacteria that rarely sicken healthy people but can be deadly for vulnerable patients already hospitalized with serious illnesses. Nearly 100,000 people die every year in U.S. hospitals of infections they develop after being admitted. But despite intense infection-control efforts, new strains of bacteria keep on emerging, seemingly out of nowhere, to sicken people in hospitals worldwide.

Researchers at Washington University School of Medicine in St. Louis have found evidence pointing to an unexpected source of such bacteria: the hospitalized patients themselves. Studying mice, the researchers discovered that urinary tract infections (UTIs) can arise after sterile tubes, called catheters, are inserted into the urinary tract, even when no bacteria are detectable in the bladder beforehand. Such tubes are commonly used in hospitals to empty the bladders of people undergoing surgery. In the mice, inserting the tubes activated dormant Acinetobacter baumannii (A. baumannii)bacteria hidden in bladder cells, triggering them to emerge, multiply and cause UTIs, the researchers said.

The findings, published Jan. 11 in Science Translational Medicine, suggest that screening patients for hidden reservoirs of dangerous bacteria could supplement infection-control efforts and help prevent deadly infections.

You could sterilize the whole hospital, and you would still have new strains of A. baumannii popping up. Cleaning is just not enough, and nobody really knows why. This study shows that patients may be unwittingly carrying the bacteria into the hospital themselves, and that has implications for infection control. If someone has a planned surgery and is going to be catheterized, we could try to determine whether the patient is carrying the bacteria and cure that person of it before the surgery. Ideally, that would reduce the chances of developing one of these life-threatening infections.”

Mario Feldman, PhD, co-senior author, professor of molecular microbiology

A. baumannii is a major threat to hospitalized people, causing many cases of UTIs in people with urinary catheters, pneumonia in people on ventilators, and bloodstream infections in people with central-line catheters into their veins. The bacteria are notoriously resistant to a broad range of antibiotics, so such infections are challenging to treat and easily can turn deadly.

Feldman teamed up with co-senior author Scott J. Hultgren, PhD, the Helen L. Stoever Professor of Molecular Microbiology and an expert on UTIs, to investigate why so many A. baumannii UTIs develop after people receive catheters.

Most UTIs among otherwise healthy people are caused by the bacterium Escherichia coli (E. coli). Research has shown that E. coli can hide out in bladder cells for months after a UTI seems to have been cured, and then re-emerge to cause another infection.

Feldman and Hultgren -; along with co-first authors Jennie E. Hazen, a graduate student, and Gisela Di Venanzio, PhD, an instructor in molecular microbiology -; investigated whether A. baumannii can hide inside cells like E. coli can. They studied mice with UTIs caused by A. baumannii. They used mice with weakened immune systems because, like people, healthy mice can fight off A. baumannii.

Once the infections had resolved and no bacteria were detected in the mice’s urine for two months, the researchers inserted catheters into the mice’s urinary tracts with a sterile technique. Within 24 hours, about half of the mice developed UTIs caused by the same strain of A. baumannii as the initial infection.

“The bacteria must have been there all along, hiding inside bladder cells until the catheter was introduced,” Hultgren said. “Catheterization induces inflammation, and inflammation causes the reservoir to activate, and the infection blooms.”

Since A. baumannii rarely causes symptoms in otherwise healthy people, many people who carry the bacteria may never know they’re infected, the researchers said. As part of this study, the researchers searched the scientific literature and discovered that about 2% of healthy people carry A. baumannii in their urine.

“I wouldn’t put much weight on the precise percentage, but I think we can say with certainty that some percentage of the population is walking around with A. baumannii,” Feldman said. “As long as they’re basically healthy, it doesn’t cause any problems, but once they’re hospitalized, it’s a different matter. This changes how we think about infection control. We can start considering how to check if patients already have Acinetobacter before they receive certain types of treatment; how we can get rid of it; and if other bacteria that cause deadly outbreaks in hospitals, such as Klebsiella, hide in the body in the same way. That’s what we’re working on figuring out now.”

Source:
Journal reference:

Hazen, J.E., et al. (2023) Catheterization triggers resurgent infection seeded by host Acinetobacter baumannii reservoirs. Science Translational Medicine. doi.org/10.1126/scitranslmed.abn8134.