Tag Archives: Transcription

Study highlights two strategies used by Salmonella to escape the human body’s defenses

Like thieves that constantly look for ways to evade capture, Salmonella enterica, a disease-causing bacterium, uses various tactics to escape the human body’s defense mechanisms. In a new study, researchers from the Department of Microbiology and Cell Biology (MCB), IISc, highlight two such strategies that the bacterium uses to protect itself, both driven by the same protein.

When Salmonella enters the human body, each bacterial cell resides within a bubble-like structure known as Salmonella-containing vacuole (SCV). In response to the bacterial infection, the immune cells in our body produce reactive oxygen species (ROS) and reactive nitrogen species (RNS), along with pathways triggered to break down these SCVs and fuse them with cellular bodies called lysosomes or autophagosomes, which destroy the bacteria. However, these bacteria have developed robust mechanisms to maintain vacuolar integrity, which is crucial for their survival. For example, when a bacterial cell divides, the vacuole surrounding it also divides, enabling every new bacterial cell to be ensconced in a vacuole. This also ensures that more vacuoles are present than the number of lysosomes which can digest them.

In the study published in Microbes and Infection, the IISc team deduced that a critical protein produced by Salmonella, known as SopB, prevents both the fusion of SCV with lysosomes as well as the production of lysosomes, in a two-pronged approach to protect the bacterium. “[This] gives the upper hand to bacteria to survive inside macrophages or other host cells,” explains Ritika Chatterjee, former PhD student in MCB and first author of the study. The experiments were carried out on immune cell lines and immune cells extracted from mice models.

SopB acts as a phosphatase – it aids in removing phosphate groups from phosphoinositide, a type of membrane lipid. SopB helps Salmonella change the dynamics of the vacuole – specifically it alters the type of inositol phosphates in the vacuole membrane – which prevents the vacuole’s fusion with lysosomes.

A previous study from the same team had reported that the number of lysosomes produced by the host cells decreases upon infection with Salmonella. The researchers also found that mutant bacteria that were unable to produce SopB were also unable to reduce host lysosome numbers. Therefore, they decided to look more closely at the role that SopB was playing in the production of lysosomes, using advanced imaging techniques.

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What they found was that SopB prevents the translocation of a critical molecule called Transcription Factor EB (TFEB) from the cytoplasm of the host cell into the nucleus. This translocation is vital because TFEB acts as a master regulator of lysosome production.

This is the first time we deciphered that SopB can work in a dual manner – it changes the phosphoinositide dynamics of SCV and affects TFEB’s translocation into the nucleus. While other groups have already reported the function of SopB in mediating invasion in epithelial cells, the novelty of our study lies in identification of the function of SopB in inhibiting the vacuolar fusion with existing autophagosomes/lysosomes, and the second mechanism, which provides Salmonella with a survival advantage by increasing the ratio of SCV to lysosomes.”

Dipshikha Chakravortty, Professor at MCB and corresponding author of the study

The researchers suggest that using small molecule inhibitors against SopB or activators of TFEB can help counter Salmonella infection.

In subsequent studies, the team plans to explore the role of another host protein called Syntaxin-17 whose levels also reduce during Salmonella infection. “How do the SCVs reduce the levels of Syntaxin-17? Do they exchange it with some other molecules, or do the bacteria degrade it? We [plan to] look into it next,” says Chakravortty.

Source:
Journal reference:

Chatterjee, R., et al. (2023) Deceiving The Big Eaters: Salmonella Typhimurium SopB subverts host cell Xenophagy in macrophages via dual mechanisms. Microbes and Infection. doi.org/10.1016/j.micinf.2023.105128.

What are the trends in severe outcomes among patients hospitalized with COVID-19 during the first 2 years of the COVID-19 pandemic?

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In a recent study published in the JAMA Network Open, researchers performed a cohort study for prospective surveillance across a network of 155 acute care hospitals in Canada between March 15, 2020, and May 28, 2022, i.e., during the first two years of the coronavirus disease 2019 (COVID-19) pandemic.

Study: Trends in Severe Outcomes Among Adult and Pediatric Patients Hospitalized With COVID-19 in the Canadian Nosocomial Infection Surveillance Program, March 2020 to May 2022. Image Credit: angellodeco/Shutterstock.comStudy: Trends in Severe Outcomes Among Adult and Pediatric Patients Hospitalized With COVID-19 in the Canadian Nosocomial Infection Surveillance Program, March 2020 to May 2022. Image Credit: angellodeco/Shutterstock.com

Introduction

The study summarized trends in severe outcomes among adult and pediatric patients, aged ≥18 years and zero to 17 years, respectively, hospitalized with reverse transcription-polymerase chain reaction (RT-PCR)-confirmed COVID-19 at any of the Canadian Nosocomial Infection Surveillance Program (CNISP)–participating hospitals.

Background

Any changes to the clinical manifestations of COVID-19, especially its severe or critical cases, have significant implications for the healthcare system.

However, data summarizing the trend of severe illness outcomes for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected patients is limited in Canada. Data from a network of Canadian hospitals, such as CNISP, could help inform public health measures in the future.

CNISP, an alliance between Canada’s Public Health Agency, sentinel hospitals, and the Association of Medical Microbiology and Infectious Disease, began collating weekly data on COVID-19 patients, stratified by age, source, and vaccination status, from March 2020 onwards.

About the study

In the present study, trained infection control professionals reviewed patient medical records from 155 acute care hospitals in 10 Canadian provinces and one territory.

They identified patients with the first COVID-19-positive RT-PCR test result within 14 days before they sought hospital admission or while in the hospital. The study population comprised adults and pediatric patients.

For study analysis, they considered several severe outcomes in patients testing positive for COVID-19, as follows:

i) hospitalization;

ii) those admitted to an intensive care unit (ICU);

iii) those receiving mechanical ventilation;

iv) those receiving mechanical ventilation (MV);

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v) those receiving extracorporeal membrane oxygenation (ECMO); and

vi) all-cause in-hospital mortality

The team identified healthcare–related COVID-19 cases based on three prespecified criteria, the onset of symptoms or a positive RT-PCR test at least seven days after hospital admission, rehospitalization with a positive RT-PCR test within seven days after discharge, or a case with an epidemiological link to another COVID-19 case among staff members.

Further, the team identified six waves (periods) for the study with different SARS-CoV-2 variant predominance based on the weeks they detected increased COVID-19-related hospitalizations in the CNISP network.

For instance, the wild-type variant was dominant during waves one and two, while Alpha, Beta, and Gamma variants were predominant during wave three. During wave four, only Alpha was predominant, while the Omicron variant remained dominant during waves five and six.

The week-on-week proportion of severe disease outcomes indicated COVID-19–positivity per 1,000 hospital admissions. For this assessment, the researchers estimated weekly patient admissions by dividing quarterly hospital admissions during 2020-2021 by weeks in a quarter.

The main comparison parameter was severe outcome trends during waves five and six compared to earlier waves. For all severe outcomes, the team pooled patient data from waves one to four and waves five to six. Conversely, they pooled all wave (1-6) data for adult patients for all-cause in-hospital mortalities.

The team computed odd ratios (OR) and 95% confidence intervals (CIs) (unadjusted) to compare the severe outcomes between pooled data of all pandemic waves. They compared proportional variations using the χ2 test, where two-tailed P≤ 0.05 held statistical significance.

Finally, the team computed cumulative incidence rates (IRs) by COVID-19 vaccination status and age-stratified incidence rate ratios (IRRs) to compare these rates between these groups.

Results

Between March 15, 2020, and May 28, 2022, there were 1,513,065 admissions in 155 CNISP hospitals, where 51,679 and 4,035 were adult and pediatric patients, respectively. Of these, 8,683 adults and 498 children sought ICU admission.

Compared to Omicron-dominant waves five and six, for waves one through four combined, the proportion of COVID-19 hospitalizations among adult and pediatric patients per 1,000 hospital admissions were much lower. (24.7 vs. 77.3).

During wave five, hospitalized cases peaked for adult and pediatric patients at 146.8 and 96.3, respectively, and outpaced all previous and following waves.

During the January 16, 2022 week (wave five), the highest proportion of adult and pediatric ICU COVID-19 admissions were 18.3 and 15.6 per 1,000 hospital admissions, respectively.

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Among 51,496 adult patients hospitalized during the study, 7,012 acquired COVID-19 while in the hospital. This number was higher for waves five and six combined than for waves two through two (16.9% vs. 10.8%).

Likewise, the proportion of adult patients who needed ICU admission during waves five and six was lower than in waves two through four (8.7% vs. 21.8%).

The proportion of adult patients in the ICU who received MV during waves five and six was markedly lower than for waves two through four (47.6% vs. 67.2%).

Likewise, those who received extracorporeal membrane oxygenation (ECMO) were markedly lesser during waves five and six (1.3 vs. 4.6%). The cases of all-cause in-hospital mortality also declined from waves one and two to waves five and six (16% vs. 7%).

Among pediatric patients, the proportion of hospitalized patients needing an ICU was significantly lesser in waves five and six (9.4% vs. 18.1%) than in waves one through four. However, those who received MV during waves five and six were comparable to observed numbers for waves one through four [25.8% vs. 26.8%].

Only one pediatric patient received ECMO, 31 died, and even all-cause in-hospital deaths in a total of 1,359 pediatric cases were comparable across all pandemic waves, 0.9% for waves one through four and 0.7% for waves five & six combined, though this finding was statistically insignificant (p=0.60).

Strikingly, the age-standardized IR for ICU admission in unvaccinated vs. fully vaccinated patients during waves five and six was much higher. However, the same for all-cause in-hospital mortality was lower in unvaccinated vs. fully vaccinated patients (3.9 vs. 15.1).

Conclusions

Although COVID-19-related hospitalizations peaked in wave five, a markedly reduced proportion of adult and pediatric patients sought ICU admission. Even lesser adult COVID-19 patients received MV or ECMO during later than earlier waves, though numbers were significantly higher among unvaccinated patients.

However, during waves five and six, although Canadian hospitals experienced a surge in COVID-19-related hospitalizations and nosocomial transmission, severe disease outcomes declined substantially.

Yet, the COVID-19 burden on the Canadian healthcare system remained substantial even during waves five & six. Multiple factors likely resulted in the observed reductions, such as greater COVID-19 vaccine uptake & coverage by the time Omicron became predominant, which was inherently less virulent.

During later pandemic waves, people also developed natural immunity, and even COVID-19 management at hospitals improved over time.

Together, the study data highlighted the significance of COVID-19 vaccination in reducing the burden of COVID-19 and its severe outcomes on the Canadian healthcare system.

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Long COVID linked to increased sick leave rate

In a recent study posted to the medRxiv* preprint server, researchers in Denmark examined associations between coronavirus disease 2019 (COVID-19) and sick leave post-acute infection.

Study: Covid-19 and post-acute sick leave: a hybrid register and questionnaire study in the adult Danish population. Image Credit: OlivierLeMoal/Shutterstock.com

Study: Covid-19 and post-acute sick leave: a hybrid register and questionnaire study in the adult Danish population. Image Credit: OlivierLeMoal/Shutterstock.com

*Important notice: medRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.

Background

Long COVID is defined as the persistence of post-acute symptoms in people previously infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Up to 20% of infected individuals are estimated to develop long COVID.

A prior study identified sick leave as a potential indicator of long COVID symptoms in Denmark. Still, the extent to which these symptoms translate to working ability is poorly defined.

About the study

In the present study, researchers evaluated the associations between COVID-19 and sick leave following acute infection in the adult Danish population.

Data were used from the nationwide EFTER-COVID (AFTER-COVID) survey, initiated in August 2021, to assess public health during the COVID-19 pandemic, focusing on long COVID.

Danish residents were invited to participate via a national digital mail system based on SARS-CoV-2 reverse-transcription polymerase chain reaction (RT-PCR) test results in the Danish microbiology database.

Test-negative controls lacking a positive test result in the database at any time before the survey were randomly selected. This analysis included participants who took the survey nine months after their RT-PCR test. The survey data were integrated with register-based data on age, sex, vaccination, COVID-19 test results, reinfections, and comorbidities.

The questionnaire was designed for information on participants’ baseline characteristics and sick leaves(s) between test and survey dates. The team obtained data on inpatient and outpatient diagnoses from the Danish National Patient Register (DNPR).

All participants were asked if they took sick leave at the time of testing or after that. Those responding yes were asked to indicate the duration and whether the leave was part- or full-time.

The prevalence of substantial full- or part-time sick leave, viz., full- or part-time sick leave for more than four weeks after infection, was compared between test-positive and -negative subjects using risk differences.

Findings

Overall, 106,917 out of 294,035 invitees completed the survey nine months after the COVID-19 test. After exclusions, the study population comprised 88,818 participants, including 37,482 individuals who were SARS-CoV-2-positive. They were, on average, aged 45; most participants (64.3%) were females.

Less than 1% received at least one vaccine dose for COVID-19. Around 16.6% of participants were obese. Depression, anxiety, and high blood pressure were the other frequent pre-existing conditions. The prevalence of substantial sick leave was higher among test-positive subjects at 4.5% compared to 1.4% among controls.

It was similar across age groups in controls but increased with age in infected participants. Of note, 21% of test-positive individuals who took a substantial sick leave were diagnosed with long COVID, compared to 1.6% of infected individuals who did not take the leave. Infected individuals had a higher risk of taking a substantial full-time sick leave than controls.

The risk difference was attenuated when substantial sick leave was increased and defined as at least six months. Risk differences were higher for females than males and individuals aged 50 or above than the general population. The highest risk differences were for individuals with fibromyalgia, common obstructive pulmonary disease (COPD) or other lung diseases, and diabetes.

Healthcare workers had a larger risk differently than the general population. Infected individuals were also more likely to take a substantial part-time sick leave than controls.

However, the risk of a substantial part-time sick leave was lower for people aged 50 or above than that for substantial full-time sick leave but was similar to the general population.

Conclusions

The team noted that SARS-CoV-2-infected individuals had an increased risk of taking a substantial sick leave. More than a fifth of infected individuals also had a long COVID diagnosis. The study’s major limitations include the self-reporting design and potential recall bias.

Moreover, the duration of sick leave was not solely attributable to long COVID, as the questionnaire captured sick leave status in general. Further, participation bias was also likely, given that individuals with poor health or symptoms expressed more interest in participating.

Taken together, the findings suggest that among SARS-CoV-2-infected subjects, an additional 33 persons per 1,000 took a substantial sick leave between one and nine months post-acute infection compared to controls. Females, older adults, and those with pre-existing conditions such as fibromyalgia, obesity, and COPD were affected the most.

*Important notice: medRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.

Journal reference:

Study offers a novel therapeutic option to combat antibiotic-resistant pneumonia

Increases in multidrug-resistance in the bacteria Streptococcus pneumoniae have made it the fourth-leading cause of death associated with antibiotic resistance.

In a study in PLOS Biology, researchers report a new target to fight against pneumonia due to infections by this opportunistic lung pathogen -; interference with the bacteria’s fermentation metabolism. This may offer a novel therapeutic option in the urgent need to discover new strategies to combat drug-resistant S. pneumoniae.

In a proof of principle, University of Alabama at Birmingham researchers showed that giving an existing drug -; one already approved by the United States Food and Drug Administration to treat methanol poisoning – in combination with the antibiotic erythromycin significantly reduced disease in mice infected with a virulent, multidrug-resistant S. pneumoniae. The combination therapy reduced bacterial burden in the lungs by 95 percent, and bacterial burdens in the spleen and heart by 100- and 700-fold, respectively. The FDA-approved drug alone, or erythromycin alone, had no effect.

Fomepizole, the FDA-approved drug, disrupts activity of the enzyme alcohol dehydrogenase in the bacteria. The mice were infected intratracheally with the multidrug-resistant clinical isolate S. pneumoniae serotype 35B strain 162–5678, which has high resistance to erythromycin. Notably, the S. pneumoniae 35B serotype has been reported as an emerging multidrug-resistant serotype in clinical settings. Eighteen hours after infection, the mice were given a single injection of erythromycin, with or without fomepizole.

Fomepizole, or other drugs that inhibit bacterial metabolism, have potential to dramatically increase the efficacy of erythromycin and other antibiotics, respectively, in vivo.”

Carlos Orihuela, Ph.D., professor and interim chair of the UAB Department of Microbiology

A broad foundation of basic research preceded this proof-of-principle experiment.

S. pneumoniae relies on fermentation and glycolysis to produce energy. During fermentation, pyruvate is converted to lactate, acetate and ethanol, and NADH is oxidized to regenerate NAD+, which is needed for glycolysis. Accordingly, maintenance of an available NAD+ pool, necessary for redox balance, is vital for sustained energy production, bacterial growth and survival.

Orihuela and UAB colleagues made S. pneumoniae mutants in five enzymes involved in fermentation and NAD+ production, and they found, in general, that the mutants had impaired metabolism. Two of the mutants, one for lactate dehydrogenase and one for alcohol dehydrogenase, had stark decreases in intracellular pool of ATP, the energy molecule of living cells. The other three mutants had significant, but more modest, decreases.

NAD+/NADH redox imbalances in the mutants generally interfered with production of S. pneumoniae virulence factors and colonization in the mouse nasopharynx. Some of the mutations influenced susceptibility to antibiotics, as tested with three antibiotics, including erythromycin, that interfere with protein synthesis, two antibiotics that disrupt cell wall synthesis and one antibiotic that targets DNA transcription.

Researchers found that treating a wildtype S. pneumoniae, which did not have mutations in alcohol dehydrogenase or the other enzymes, with fomepizole alone caused redox imbalances. In vitro tests showed that treatment of S. pneumoniae with fomepizole enhanced the susceptibility to antibiotics, including fourfold decreases in the minimal inhibitory concentrations of the antibiotics erythromycin and gentamicin.

“We also evaluated whether fomepizole treatment impacted the antibiotic susceptibility of other anaerobic gram-positive bacteria, including other streptococcal pathogens, including Streptococcus pyogenes, Streptococcus agalactiae and Enterococcus faecium, to erythromycin or gentamicin,” Orihuela said. “We observed from twofold to eightfold decreased minimal inhibitory concentration with fomepizole in most cases, including E. faecium.”

“Our results indicate that the blocking of NAD+ regeneration pathways during infection is a way to increase antibiotic susceptibility in drug-resistant gram-positive anaerobic pathogens,” Orihuela said. “This has clinical potential with regard to microbial eradication and treatment of disseminated infection.”

Globally, more than 3 million individuals are hospitalized due to pneumococcal disease annually, and hundreds of thousands die as a result.

Source:
Journal reference:

Im, H., et al. (2023). Targeting NAD+ regeneration enhances antibiotic susceptibility of Streptococcus pneumoniae during invasive disease. PLOS Biology. doi.org/10.1371/journal.pbio.3002020.

Epigenome reprogramming after SARS-CoV-2 infection

In a recent article in published in the journal Nature Microbiology, researchers in Texas, United States (US) performed a three-dimensional (3D) evaluation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected human cells to show a direct cell-autonomous effect elicited by SARS-CoV-2 on the host chromatin.

The study aimed at improving the understanding of coronavirus disease 2019 (COVID-19)-related perturbations in the genome and epigenome of a host cell.

Study: SARS-CoV-2 restructures host chromatin architecture. Image Credit:FUNFUNPHOTO/Shutterstock.com

Study: SARS-CoV-2 restructures host chromatin architecture. Image Credit:FUNFUNPHOTO/Shutterstock.com

Background

The 3D folding of chromatin in mammals, including humans, influences deoxyribonucleic acid (DNA) replication, recombination, DNA damage repair, and transcription. It is a key determinant of how human cells act and function. Viruses, including SARS-CoV-2, antagonize host defense by rewiring their chromatin architecture, which typically has several layers, e.g., A/B compartments, chromatin loops, and topological associating domains (TADs).

The A and B compartments superimpose transcriptionally active euchromatin and relatively inactive heterochromatin, respectively. However, studies have barely investigated these effects.

In addition, epigenetic alterations impact gene expression and resulting phenotypes in the long term. Thus, a sneak peek into the interactions between the virus, host chromatin, and epigenome could help find novel methods to fight SARS-CoV-2 in the acute phase. In addition, it could unravel the molecular basis of post-acute SARS-CoV-2 sequelae or long COVID and subsequently mitigate it.

About the study

At 24 hours post-infection (24 hpi), human A549 cells expressing angiotensin-converting enzyme 2 (ACE2), infected with SARS-CoV-2 at a multiplicity of infection (MOI) of 0.1, had high levels of infection. This was shown by ribonucleic acid-sequencing (RNA-seq). Immunofluorescence of the SARS-CoV-2 spike (S) glycoprotein also substantiated an elevated infection ratio.

So, in the present study, researchers used an improved version of in situ Hi-C high-throughput chromosome conformation capture (Hi-C) 3.0 to study host chromatin changes in these cells at 24 hpi and mock-infected cells (Mock).

In addition, the team evaluated the epigenetic features of the altered chromatin regions to understand the vulnerability to compartmental changes due to infection. To this end, they used chromatin immunoprecipitation (ChIP-seq) methods to generate data on representative histone markers and polymerase II (Pol2) in A549-ACE2 cells. This analysis covered four histone markers, viz., H3K27ac, H3K4me3, H3K9me3, and H3K27me3.

It helped them examine the epigenetic features of these six categories of bins. They ranked E1-score changes for each genomic bin to sort bins. They dubbed bins showing E1-score increase and decrease as ‘A-ing’ and ‘B-ing’ bins, respectively.

Results

The Hi-C analysis showed extensive alterations in the hosts’ 3D genome after SARS-CoV-2 infection. The researchers also plotted a Pearson correlation map of their Hi-C analysis that reaffirmed these changes alongside indicating modified chromatin compartmentalization.

A focused view of the ~0.7 Mb region showed a weakening of the rectangle-shaped chromatin domains and deregulation of chromatin loops. While SARS-CoV-2 prompted a global decline in near-diagonal short-range chromatin contacts (<560 kilobases), as seen in a P(s) curve, chromatin contacts far-separated from the diagonal (>28 megabases) were often deregulated.

Further, a P(s) curve showed that SARS-CoV-2 elicited modest and enhanced interactions in middle-to-long-distance contacts (~560 kb to 8.9 Mb) and far-positioned regions, respectively.

Fold changes in inter-chromosomal interactions or trans-vs-cis contact ratios also depicted the effect of SARS-CoV-2 infection on inter-chromosomal contacts. The enhancement of inter- and intra-chromosomal interactions indicated changes in chromatin compartmentalization. Consequently, principal component analysis (PCA) of a 100-kb bin on Hi-C background showed noticeable defects of chromatin compartmentalization in virus-infected cells.

The total PCA E1 scores quantifying E1 changes in ~30% of genomic regions showed a widespread diminishing of the A compartment, A-to-B switching, or strengthening of the B compartment post-SARS-CoV-2 infection.

Among all, A to weaker A changes were the most common and occurred in ~18% of the genome, which indicated that SARS-CoV-2 extensively weakened the host euchromatin.

Further analysis showed that the ‘B-ing’ and ‘A-ing’ genomic regions were historically enriched in active chromatin markers (e.g., H3K27ac) and repressive histone markers, especially H3K27me3. Unexpectedly, SARS-CoV-2 infection selectively modified the H3K4me3 marker of phytochrome interacting factors (PIF) gene promoters, suggesting unappreciated mechanisms at these promoters that confer deviating inflammation in COVID-19.

A flawed chromatin compartmentalization likely caused the historically well-partitioned A or B compartments to lose their identity. A saddle plot illustrating inter-compartment chromatin interactions across the genome showed these global changes.

The authors also noted weakened compartmentalization between chromosomes. For instance, in chromosomes 17 & 18, while A–B interactions were amplified, A–A/B–B homotypic interactions appeared to have become compromised.

Moreover, SARS-CoV-2 infection mechanistically depleted the cohesin complex in a pervasive but selective manner from intra-TAD regions. These changes provided a molecular explanation for the weakening of intra-TAD interactions.

It supported the notion that defective cohesin loop extrusion inside TADs releases this chromatin to engage in long-distance associations. Intriguingly, chromatin in SARS-CoV-2-infected cells exhibited a higher frequency of long-distance intra-chromosomal and inter-chromosomal interactions.

Conclusions

SARS-CoV-2 infection markedly restructured 3D host chromatin, featuring widespread compartment A weakening and A–B mixing and global reduction in intra-TAD chromatin contacts.

However, it is still unknown exactly how SARS-COV-2 infection restructures host chromatin. Likely, open reading frame 8 (ORF8) disrupts the host epigenome, suggesting that some viral factors are involved in host chromatin rewiring.

It also altered the host epigenome, including a global reduction in active chromatin mark H3K27ac and a specific increase in H3K4me3 at pro-inflammatory gene promoters. Intriguingly, all these host chromatin alterations were unique to SARS-CoV-2 infection, and other common-cold coronaviruses or immune stimuli did not elicit these changes.

Journal reference:

Novel subset of memory B cells predicts long-lived antibody responses to influenza vaccination

Memory B cells play a critical role to provide long-term immunity after a vaccination or infection. In a study published in the journal Immunity, researchers describe a distinct and novel subset of memory B cells that predict long-lived antibody responses to influenza vaccination in humans.

These effector memory B cells appear to be poised for a rapid serum antibody response upon secondary challenge one year later, Anoma Nellore, M.D., Fran Lund, Ph.D., and colleagues at the University of Alabama at Birmingham and Emory University report. Evidence from transcriptional and epigenetic profiling shows that the cells in this subset differ from all previously described memory B cell subsets.

The UAB researchers identified the novel subset by the presence of FcRL5 receptor protein on the cell surface. In immunology, a profusion of different cell-surface markers is used to identify and separate immune-cell types. In the novel memory B cell subset, FcRL5 acts as a surrogate marker for positive expression of the T-bet transcription factor inside the cells. Various transcription factors act as master regulators to orchestrate the expression of many different gene sets as various cell types grow and differentiate.

Nellore, Lund and colleagues found that the FcRL5+ T-bet+ memory B cells can be detected seven days after immunization, and the presence of these cells correlates with vaccine antibody responses months later. Thus, these cells may represent an early, easily monitored cellular compartment that can predict the development of a long-lived antibody response to vaccines.

This could be a boon to the development of a more effective yearly influenza vaccine. “New annual influenza vaccines must be tested, and then manufactured, months in advance of the winter flu season,” Lund said. “This means we must make an educated guess as to which flu strain will be circulating the next winter.”

Why are vaccine candidates made so far in advance? Pharmaceutical companies, Lund says, need to wait many weeks after vaccinating volunteers to learn whether the new vaccine elicits a durable immune response that will last for months. “One potential outcome of the current study is we may have identified a new way to predict influenza vaccine durability that would give us an answer in days, rather than weeks or months,” Lund said. “If so, this type of early ‘biomarker’ could be used to test flu vaccines closer to flu season -; and moving that timeline might give us a better shot at predicting the right flu strain for the new annual vaccine.”

Seasonal flu kills 290,000 to 650,000 people each year, according to World Health Organization estimates. The global flu vaccine market was more than $5 billion in 2020.

To understand the Immunity study, it is useful to remember what happens when a vaccinated person subsequently encounters a flu virus.

Following exposure to previously encountered antigens, such as the hemagglutinin on inactivated influenza in flu vaccines, the immune system launches a recall response dominated by pre-existing memory B cells that can either produce new daughter cells or cells that can rapidly proliferate and differentiate into short-lived plasmablasts that produce antibodies to decrease morbidity and mortality. These latter B cells are called “effector” memory B cells.

“The best vaccines induce the formation of long-lived plasma cells and memory B cells,” said Lund, the Charles H. McCauley Professor in the UAB Department of Microbiology and director of the Immunology Institute. “Plasma cells live in your bone marrow and make protective antibodies that can be found in your blood, while memory B cells live for many years in your lymph nodes and in tissues like your lungs.

“Although plasma cells can survive for decades after vaccines like the measles vaccine, other plasma cells wane much more quickly after vaccination, as is seen with COVID-19,” Lund said. “If that happens, memory B cells become very important because these long-lived cells can rapidly respond to infection and can quickly begin making antibody.”

In the study, the UAB researchers looked at B cells isolated from blood of human volunteers who received flu vaccines over a span of three years, as well as B cells from tonsil tissue obtained after tonsillectomies.

They compared naïve B cells, FcRL5+ T-bet+ hemagglutinin-specific memory B cells, FcRL5neg T-betneg hemagglutinin-specific memory B cells and antibody secreting B cells, using standard phenotype profiling and single-cell RNA sequencing. They found that the FcRL5+ T-bet+ hemagglutinin-specific memory B cells were transcriptionally similar to effector-like memory cells, while the FcRL5neg T-betneg hemagglutinin-specific memory B cells exhibited stem-like central memory properties.

Antibody-secreting B cells need to produce a lot of energy to churn out antibody production, and they also must turn on processes that protect the cells from some of the detrimental side effects of that intense metabolism, including controlling the dangerous reactive oxygen species and boosting the unfolded protein response.

The FcRL5+ T-bet+ hemagglutinin-specific memory B cells did not express the plasma cell commitment factor, but did express transcriptional, epigenetic and metabolic functional programs that poised these cells for antibody production. These included upregulated genes for energy-intensive metabolic processes and cellular stress responses.

Accordingly, FcRL5+ T-bet+ hemagglutinin-specific memory B cells at Day 7 post-vaccination expressed intracellular immunoglobulin, a sign of early transition to antibody-secreting cells. Furthermore, human tonsil-derived FcRL5+ T-bet+ memory B differentiated more rapidly into antibody-secreting cells in vitro than did FcRL5neg T-betneg hemagglutinin-specific memory B cells.

Lund and Nellore, an associate professor in the UAB Department of Medicine Division of Infectious Diseases, are co-corresponding authors of the study, “A transcriptionally distinct subset of influenza-specific effector memory B cells predicts long-lived antibody responses to vaccination in humans.”

Co-authors with Lund and Nellore are Esther Zumaquero, R. Glenn King, Betty Mousseau, Fen Zhou and Alexander F. Rosenberg, UAB Department of Microbiology; Christopher D. Scharer, Tian Mi, Jeremy M. Boss, Christopher M. Tipton and Ignacio Sanz, Emory University School of Medicine, Atlanta, Georgia; Christopher F. Fucile, UAB Informatics Institute; John E. Bradley and Troy D. Randall, UAB Department of Medicine, Division of Clinical Immunology and Rheumatology; and Stuti Mutneja and Paul A. Goepfert, UAB Department of Medicine Division of Infectious Diseases.

Funding for the work came from National Institutes of Health grants AI125180, AI109962 and AI142737 and from the UAB Center for Clinical and Translational Science.

Source:
Journal reference:

Nellore, A., et al. (2023). A transcriptionally distinct subset of influenza-specific effector memory B cells predicts long-lived antibody responses to vaccination in humans. Immunity. doi.org/10.1016/j.immuni.2023.03.001.

New discoveries made regarding autism onset in mouse models

Although autism is a common neurodevelopmental disorder, the multiple factors behind its onset are still not fully understood. Animal models of idiopathic autism, especially mice, are often used to help researchers understand the complicated mechanisms behind the disorder, with BTBR/J being the most commonly used mouse model in the world.

Now, an international research collaboration including Kobe University’s Professor TAKUMI Toru and Researcher Chia-wen Lin et al. have made new discoveries regarding autism onset in mouse models.

In their detailed series of experiments and analyses of BTBR/J mice and the other subspecies BTBR/R, they revealed that endogenous retrovirus activation increases a fetus’s susceptibility to autism. They also discovered that BTBR/R exhibits autistic-like behaviors without reduced learning ability, making it a more accurate model of autism than the widely-used BTBR/J model.

It is hoped that further research will contribute towards better classification of autism types, as well as the creation of new treatment strategies for neurodevelopmental disorders.

These research results were published in Molecular Psychiatry on March 7, 2023

Main points

  • The researchers analyzed BTBR/J, a widely used mouse model of autism, and its subspecies BTBR/Rusing MRI. This revealed that the corpus callosum, which connects the left and right hemispheres of the brain, was impaired in BTBR/J mice but not in BTBR/R mice.
  • Genome and transcription analysis showed that BTBR mice have increased levels of endogenous retrovirus genes.
  • Furthermore, single-cell RNA analysis of BTBR/R mice revealed changes in the expression of various genes (including stress response genes) that are indicative of endogenous retrovirus activation.
  • Even though BTBR/J and BTBR/R mice have the same ancestry, the results of various behavioral analysis experiments revealed differences in spatial learning ability and other behaviors between the two types of model mice.

Research background

Autism (autism spectrum disorder) is a neurodevelopmental disorder that remains largely unexplored despite the rapidly increasing number of patients. Reasons for this continuing increase in people diagnosed with autism include changes to diagnostic criteria and older fathers becoming more common. Autism is strongly related to genetic factors and can be caused by abnormalities in DNA structure, such as copy number variations. Animal models, especially mice, are often used in research to illuminate the pathology of autism. Among these models, BTBR/J is a mouse model of the natural onset of autism that is commonly used. Studies have reported various abnormalities in BTBR/J mice including impairment of the corpus callosum (which connects the left and right hemispheres of the brain) and excessive immune system signaling. However, it is not fully understood why this particular lineage displays autistic-like behavioral abnormalities.

The aim of the current study was to shed light on the onset mechanism of these autistic-like behavioral abnormalities by conducting comparative analysis on BTBR/J and its subspecies BTBR/R.

Research findings

First of all, the researchers conducted MRI scans on BTBR/J and BTBR/R mice to investigate structural differences in each region of the brain. The results revealed that there were differences between BTBR/J and BTBR/R mice in 33 regions including the amygdala. A particularly prominent difference discovered was that even though BTBR/J’s corpus callosum is impaired, BTBR/R’s is normal.

Next, the research group used the array CGH method to compare BTBR/R’s copy number variations with that of a normal mouse model (B6). They revealed that BTBR/R mice had significantly increased levels of endogenous retroviruses (ERV) in comparison to B6 mice. Furthermore, qRT-PCR tests revealed that these retroviruses were activated in BTBR/R mice. On the other hand, in B6 mice there was no change in the expression of LINE ERV (which is classified in the same repetitive sequence), indicating that this retroviral activation is specific to BTBR.

Subsequently, the researchers carried out single-cell RNA analysis on the tissue of embryonic BTBR mice (on the AGM and yolk sac). The results provide evidence of ERV activation in BTBR mice, as expression changes were observed in a group of genes downstream of ERV.

Lastly, the researchers comprehensively investigated the differences between BTBR/J and BTBR/R on a behavioral level. BTBR/R mice were less anxious than BTBR/J and showed qualitative changes in ultrasound vocalizations, which are measured as a way to assess communicative ability in mice. BTBR/R mice also exhibited more self-grooming behaviors and buried more marbles in the marble burying test. These two tests were designed to detect repetitive behavioral abnormalities in autistic individuals. From the results, it was clear that BTBR/R exhibits more repetitive behaviors (i.e. it is more symptomatic) than BTBR/J. The 3-chamber social interaction test, which measures how closely a mouse will approach another mouse, also revealed more pronounced social deficits in BTBR/R than BTBR/J mice (Figure 4i). In addition, a Barnes maze was used to conduct a spatial learning test, in which BTBR/J mice exhibited reduced learning ability compared to B6 (normal mice). BTBR/R mice, on the other hand, exhibited similar ability to B6.

Overall, the study revealed that retrovirus activation causes the copy number variants in BTBR mice to increase, which leads to the differences in behavior and brain structure seen in BTBR/J and BTBR/R mice (Figure 5).

Further developments

BTBR/J mice are widely used by researchers as a mouse model of autism. However, the results of this study highlight the usefulness of the other lineage of BTBR/R mice because they exhibit autistic-like behavior without compromised spatial learning ability. The results also suggest that it may be possible to develop new treatments for autism that suppress ERV activation. Furthermore, it is necessary to classify autism subtypes according to their onset mechanism, which is a vital first step towards opening up new avenues of treatment for autism.

Source:
Journal reference:

Lin, C-W., et al. (2023) An old model with new insights: endogenous retroviruses drive the evolvement toward ASD susceptibility and hijack transcription machinery during development. Molecular Psychiatry. doi.org/10.1038/s41380-023-01999-z.

Using the origami technique to design RNA nanostructures

Researchers from Aarhus University and Berkeley Laboratory have designed RNA molecules, that folds into nanoscale rectangles, cylinders, and satellites, and have studied their 3D structure and dynamics with advanced nanotechnological methods. In an article in the journal Nature Nanotechnology, the researchers describe their work and how it has led to the discovery of rules and mechanisms for RNA folding that will make it possible to build more ideal and functional RNA particles for use in RNA-based medicine.

The RNA molecule is commonly recognized as messenger between DNA and protein, but it can also be folded into intricate molecular machines. An example of a naturally occurring RNA machine is the ribosome, that functions as a protein factory in all cells. Inspired by natural RNA machines, researchers at the Interdisciplinary Nanoscience Center (iNANO) have developed a method called “RNA origami”, which makes it possible to design artificial RNA nanostructures that fold from a single stand of RNA. The method is inspired by the Japanese paper folding art, origami, where a single piece of paper can be folded into a given shape, such as a paper bird.

Frozen folds provide new insight

The research paper in Nature Nanotechnology describes how the RNA origami technique was used to design RNA nanostructures, that were characterized by cryo-electron microscopy (cryo-EM) at the Danish National cryo-EM Facility EMBION. Cryo-EM is a method for determining the 3D structure of biomolecules, which works by freezing the sample so quickly that water does not have time to form ice crystals, which means that frozen biomolecules can be observed more clearly with the electron microscope. Images of many thousands of molecules can be converted on the computer into a 3D map, that is used to build an atomic model of the molecule. The cryo-EM investigations provided valuable insight into the detailed structure of the RNA origamis, which allowed optimization of the design process and resulted in more ideal shapes.

With precise feedback from cryo-EM, we now have the opportunity to fine-tune our molecular designs and construct increasingly intricate nanostructures.”

Ebbe Sloth Andersen, Associate Professor at iNANO, Aarhus University

Discovery of a slow folding trap

Cryo-EM images of an RNA cylinder sample turned out to contain two very different shapes, and by freezing the sample at different times it was evident that a transition between the two shapes was taking place. Using the technique of small-angle X-ray scattering (SAXS), where the samples are not frozen, the researchers were able to observe this transition in real time and found that the folding transition occurred after approx. 10 hours. The researchers had discovered a so-called “folding trap” where the RNA gets trapped during transcription and only later gets released (see video).

“It was quite a surprise to discover an RNA molecule that refolds this slow since folding typically takes place in less than a second” tells Jan Skov Pedersen, Professor at Department of Chemistry and iNANO, Aarhus University.

“We hope to be able to exploit similar mechanisms to activate RNA therapeutics at the right time and place in the patient”, explains Ewan McRae, the first author of the study, who is now starting his own research group at the “Centre for RNA Therapeutics” at the Houston Methodist Research Institute in Texas, USA.

Construction of a nanosatellite from RNA

To demonstrate the formation of complex shapes, the researchers combined RNA rectangles and cylinders to create a multi-domain “nanosatellite” shape, inspired by the Hubble Space Telescope.

“I designed the nanosatellite as a symbol of how RNA design allows us to explore folding space (possibility space of folding) and intracellular space, since the nanosatellite can be expressed in cells”, says Cody Geary, assistant professor at iNANO, who originally developed the RNA-origami method.

However, the satellite proved difficult to characterize by cryo-EM due to its flexible properties, so the sample was sent to a laboratory in the USA, where they specialize in determining the 3D structure of individual particles by electron tomography, the so-called IPET-method.

“The RNA satellite was a big challenge! But by using our IPET method, we were able to characterize the 3D shape of individual particles and thus determine the positions of the dynamic solar panels on the nanosatellite”, says Gary Ren from the Molecular Foundry at Lawrence Berkeley National Laboratory, California, USA.

The future of RNA medicine

The investigation of the RNA origamis contributes to improving the rational design of RNA molecules for use in medicine and synthetic biology. A new interdisciplinary consortium, COFOLD, supported by the Novo Nordisk Foundation, will continue the investigations of RNA folding processes by involving researchers from computer science, chemistry, molecular biology, and microbiology to design, simulate and measure folding at higher time resolution.

“With the RNA design problem partially solved, the road is now open to creating functional RNA nanostructures that can be used for RNA-based medicine, or act as RNA regulatory elements to reprogram cells”, predicts Ebbe Sloth Andersen.

Source:
Journal reference:

McRae, E.K.S., et al. (2023) Structure, folding and flexibility of co-transcriptional RNA origami. Nature Nanotechnology. doi.org/10.1038/s41565-023-01321-6.

Genetic disorder that causes immunodeficiency and susceptibility to opportunistic infections discovered

An international consortium co-led by Vanderbilt University Medical Center immunogeneticist Rubén Martínez-Barricarte, PhD, has discovered a new genetic disorder that causes immunodeficiency and profound susceptibility to opportunistic infections including a life-threatening fungal pneumonia.

The discovery, reported Jan. 20 in the journal Science Immunology, will help identify people who carry this in-born error of immunity (IEI). “Our findings will provide the basis for genetic diagnosis and preventive treatment for these groups of patients,” Martínez-Barricarte said.

IEIs, also known as primary immunodeficiencies, are genetic defects characterized by increased susceptibility to infectious diseases, autoimmunity, anti-inflammatory disorders, allergy, and in some cases, cancer.

To date, 485 different IEIs have been identified. It is now thought that they occur in one of every 1,000 to 5,000 births, making them as prevalent as other genetic disorders, including cystic fibrosis and Duchene’s muscular dystrophy.

Despite recent medical advances, about half of patients with IEIs still lack a genetic diagnosis that could help them avoid debilitating illness and death. That’s why this research is so important.

The error in this case is a mutation in the gene for the protein IRF4, a transcription factor that is pivotal for the development and function of B and T white blood cells, as well as other immune cells.

As a postdoctoral fellow at The Rockefeller University, Martínez-Barricarte was part of an international research team that, in 2018, identified an IRF4 mutation associated with Whipple’s disease, a rare bacterial infection of the intestine that causes diarrhea, weight loss, and abdominal and joint pain.

Martínez-Barricarte is now an assistant professor of Medicine in the Division of Genetic Medicine, and of Pathology, Microbiology & Immunology in the Division of Molecular Pathogenesis.

In 2020, after moving his lab to VUMC, he began collaborating with Aidé Tamara Staines-Boone, MD, and her colleagues in Monterrey, Mexico. They were caring for a young boy who was suffering from severe and recurrent fungal, viral, mycobacterial, and other infections.

Martínez-Barricarte and his team sequenced the protein-encoding regions of the boy’s genome and discovered a de novo IRF4 mutation, which originated in the patient and was not inherited from his parents.

Upon consulting with IRF4 experts at the Imagine Institute for the study and treatment of genetic diseases in Paris, they were told that seven other groups were independently characterizing the same mutation. They now collaborate as the IRF4 International Consortium.

In the current study, the consortium identified seven patients from six unrelated families across four continents with profound combination immunodeficiency who experienced recurrent and serious infections, including pneumonia caused by the fungus Pneumocystis jirovecii. Each patient had the same mutation in the DNA-binding domain of IRF4.

Extensive phenotyping of patients’ blood cells revealed immune cell abnormalities associated with the disease, including impaired maturation of antibody-producing B cells, and reduced T-cell production of infection-fighting cytokines.

Two knock-in mouse models, in which the mutation was inserted into the mouse genome, exhibited a severe defect in antibody production consistent with the combined immune deficiency observed in the patients.

The researchers also discovered the mutation had a “multimorphic” effect detrimental to the activation and differentiation of immune cells.

While the mutant IRF4 binds to DNA with a higher affinity than the native form of the protein (in a hypermorphic way), its transcriptional activity in common, canonical genes is reduced (hypomorphic), and it binds to other DNA sites (in a neomorphic way), altering the protein’s normal gene expression profile.

This multimorphic activity is a new mechanism for human disease. “We anticipate that variants with multimorphic activity may be more widespread in health and disease,” the researchers concluded.

Co-authors from Martínez-Barricarte’s lab included graduate students Jareb Pérez Caraballo and Xin Zhen, and research assistant Linh Tran. His research was supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (grant #AI171466).

Source:
Journal reference:

IRF4 International Consortium (2023) A multimorphic mutation in IRF4 causes human autosomal dominant combined immunodeficiency. Science Immunology. doi.org/10.1126/sciimmunol.ade7953.

Researchers discover new role of small RNAs in Salmonella infections

Salmonella are food-borne pathogens that infect millions of people a year. To do so, these bacteria depend on a complex network of genes and gene products that allow them to sense environmental conditions. In a new paper, researchers have investigated the role of small RNAs that help Salmonella express their virulence genes.

The bacteria infect humans by first invading the cells of the intestine using a needle-like structure, called a type 3 secretion system. This structure injects proteins directly into the cells, setting off a cascade of changes that cause inflammation, and ultimately cause diarrhea. The genes that encode this system, and other genes that are needed for invasion, are found on a region of DNA known as the Salmonella pathogenicity island 1.

SPI-1 needs to be well controlled. If the type 3 secretion system needle apparatus is not made, Salmonella cannot cause an infection, and if too much of the needle apparatus is made, it makes Salmonella sick.”

Sabrina Abdulla, a graduate student in the Vanderpool lab, and the first author of the study

SPI-1 is controlled by an extensive regulatory network. First, three transcription factors: HilD, HilC, and RtsA, all control their own and each other’s DNA expression. They also activate another transcription factor, HilA, which activates the rest of the SPI-1 genes. If this isn’t complicated enough, SPI-1 also needs to sense a variety of environmental cues and tune the expression of its genes in order to infect its host.

“We have known for a long time that there are a lot of environmental factors that feed into the gene regulation in Salmonella. However, we didn’t know how. That’s when researchers started looking at small RNAs,” Abdulla said.

Small RNAs play a crucial role in determining how genes function in bacterial cells. Typically, these molecules either interact with proteins, or the mRNA, which carries the instructions for making proteins. As a result, sRNAs affect a variety of bacterial functions, including virulence and responses to the environment.

In this paper, the researchers looked at the sRNAs that regulate the hilD mRNA, specifically a sequence on the mRNA called the 3′ untranslated region, a part of the mRNA not involved in making the HilD protein. In bacteria, the 3′ UTRs are usually 50-100 nucleotides long. However, the 3′ UTR of the hilD mRNA was 300 nucleotides long.

“The starting point for my work was the observation that when we deleted the 3′ UTR, the expression of the hilD gene went up 60-fold,” Abdulla said. “We then decided to look for sRNAs that might be interacting with this region.”

The researchers determined that although the sRNAs Spot 42 and SdsR can both target the 3′ UTR, they do so in different regions. “This result suggests that the entire 3′ UTR is important for regulation,” Abdulla said. “We showed that the sRNAs stabilize the hilD mRNA and protect it from being degraded.”

“Such long 3′ UTRs have not been well studied. With more genomic research, people are realizing more and more that these longer regions exist and that they are important for regulation,” Abdulla said.

Using mice, the researchers also looked at whether Spot 42 and SdsR can affect how Salmonella causes infections. They performed mouse competition assays, where they introduced mutant bacteria that lacked the sRNAs and bacteria that contained the sRNAs, to see which strains survive and cause infection. “We found that when the sRNAs are deleted, the bacteria cannot survive in the host. We also showed that the sRNAs play a role in helping SPI-1 invade the host cells,” Abdulla said.

“Now that we know that sRNAs play an important role in controlling SPI-1 through their regulatory effects on the hilD 3′ UTR, we want to extend our studies in two directions. We’d like to understand more about how, at a molecular level, the sRNAs influence hilD mRNA levels. We’d also like to better understand how sRNAs participate in regulating expression of other important SPI-1 genes,” said Cari Vanderpool (MME/IGOH), a professor of microbiology.

Source:
Journal reference:

Abdulla, S.Z., et al. (2022) Small RNAs Activate Salmonella Pathogenicity Island 1 by Modulating mRNA Stability through the hilD mRNA 3′ Untranslated Region. Journal of Bacteriology. doi.org/10.1128/jb.00333-22.