New SEISMIC facility could improve our understanding of infectious diseases, aging and cancers

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New SEISMIC facility could improve our understanding of infectious diseases, aging and cancers

A new national research facility could significantly improve our understanding of infectious diseases, aging and cancers, leading to novel treatments and vaccines.

The University of Surrey’s SEISMIC facility will offer scientists access to technology that enables them to pick up single cells or even parts of cells and measure the spatial position of biomarkers like proteins, metabolites and lipids.

Funded by £2.8 million from the Biotechnology and Biological Sciences Research Council (BBSRC) and industry, SEISMIC uses an advanced type of microscope manufactured by Yokogawa Corporation.

SEISMIC enables single-cell and sub-cellular analysis, which will help scientists understand what happens under defined conditions and how cells signal to each other.

Dr Dany Beste, Senior Lecturer in Microbial Metabolism at the University of Surrey, said:

“The new facility is free for academics working in BBSRC-funded areas and also available to scientists in industry. We are confident SEISMIC will enhance scientific training in single-cell work and overcome some of the challenges in this area.”

SEISMIC is the University of Surrey’s third national research facility with the Ion Beam Centre and the Environmental Flow Laboratory.

Prof Bailey said:

“The combination of SEISMIC, the proton beam facility and the Ion Beam Centre are a boon to Surrey’s scientific and business communities and could allow us to understand the interaction between cancer cells and radiation in more detail. This has enormous potential and we are excited to welcome researchers to use our new facility.”

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An automated platform to compile COVID-19 research

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An automated platform to compile COVID-19 research

Scientists have developed an automated knowledge portal known as COVIDScholar that complies more than 260,000 research articles, patents, and clinical trials related to the coronavirus disease 2019 (COVID-19). The portal has served more than 33,000 users since its release in 2020.

In a recent study published in PLoS One, researchers describe the development and utility of this COVID-19 research collection and analysis platform.

Background

The COVID-19 pandemic, which was caused by the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused significant damage to global healthcare and economic sectors. In an attempt to understand the dynamics of infection and develop interventions to counteract the pandemic, the global scientific community has responded at an unprecedented speed, which has led to the generation of an enormous amount of scientific literature.

Preprint servers have taken a more prominent role over conventional journals during the pandemic to manage a sharply increasing volume of literature. This has led to the accumulation of many low-quality articles, which can eventually affect the dissemination of impactful research.

Considering the need for a single comprehensive repository of COVID-19 literature, the scientists of the current study have developed an automated COVID-19 research collection and analysis platform (COVIDScholar) by using natural language processing (NLP) techniques.
Development of COVIDScholar

COVIDScholar is a data intake and processing pipeline, wherein COVID-19-related research articles, patents, and clinical trials are incorporated and processed to form a reliable repository.

In this platform, continuous monitoring of data sources for new documents is performed. The cleaning and analysis of incorporated documents are done by NLP techniques to produce document embeddings, COVID-19 relevance scores, inter-document similarity metrics, keywords, and subject-area tags.
COVIDScholar database

The COVIDScholar database comprises a total of 260,000 documents as of January 2022. The documents include 252,000 research articles, 3,303 patents, 1,712 clinical trials, 1,194 book chapters, and 1,196 datasets.

Of all research articles, 180,000 are directly related to COVID-19. Other articles are on COVID-19-related diseases, including severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and other respiratory diseases.

About 44% and 56% of documents sampled in October 2020 were preprints and peer-reviewed papers, respectively. In contrast, about 80% of current documents are peer-reviewed papers, thus indicating the evolution of high-quality literature.

The scientists used a Latent Dirichlet Allocation model to explore the subject distribution of documents available in COVIDScholar. The model estimates the number of topics in each document, as well as the number of words within each topic.

The researchers then applied the model to 10,000 randomly selected COVIDScholar documents published between January 2020 and January 2022. According to the model findings, topics related to “case numbers and pandemic growth” have reduced significantly from approximately 18% of papers published each month to less than 7.5%.

In contrast, an induction from 1-2% to more than 5% has been observed for topics related to “virology and mechanism” and “testing.” However, research articles related to these topics cover only 10% of articles published in January 2022.

About 85% of documents sampled in October 2020 in COVIDScholar were assigned at least one category label by the model. The most represented disciplines were “medical sciences” and “biological and chemical sciences,” followed by “public health,” “humanities and social sciences,” and “physical sciences, engineering, and computational studies.”

Furthermore, the scientists calculated the fraction of monthly COVID-19 publications primarily associated with each discipline. An increasing fraction of research in the “humanities/social sciences” category and a decreasing fraction of research in the “medical sciences” category was observed.

The induction in “humanities/social sciences” research coincides with the clear increase in studies investigating the impact of lockdown and social distancing on neuropsychological parameters.
Application of COVIDScholar

The COVIDScholar search portal has served over 33,000 users since its release in 2020, with over 8,600 users served weekly at its peak in the summer of 2020. On average, 2,000 active users are served on a monthly basis.

COVIDScholar is a large-scale artificial intelligence-driven platform with an enormous collection of COVID-19-related scientific literature. This platform can serve as a blueprint for future situations, where the rapid production and distribution of new scientific studies are inevitable.

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Mixed outcomes revealed in early analysis

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Background

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has created multiple challenges for heart transplantation facilities, adversely affecting all aspects of HT, including wait-list mortality, recipient survival, and donor heart procurement. Recent case series and single-center studies have reported acceptable outcomes in the short term, i.e., over a few weeks or months, of heart transplants using SARS-CoV-2-infected donors.

However, large-scale trials assessing long-term outcomes are required since SARS-CoV-2 infections can result in subclinical endothelial dysregulation and myocardial damage among probable donors. Studies including non-heart transplant recipients have reported an elevated risk for poor cardiovascular outcomes after the initial month of acute SARS-CoV-2 infections among hospitalized and non-hospitalized individuals.
About the study

In the present retrospective, registry-based study, researchers evaluated the early outcomes of adult HT from SARS-CoV-2-infected donor individuals.

Patient-level de-identified data from 27,862 donor individuals were obtained from the national-level United Network for Organ Sharing (UNOS) database Organ Procurement and Transplant Network (OPTN) from May 2020 to June 2022. Only individuals with data available on SARS-CoV-2 nucleic acid amplification tests (NATs) and organ donation in the database were included.

In total, 60,699 COVID-19 NATs were performed using nasopharyngeal swab specimens, bronchoalveolar lavage (BAL), or tracheal aspirate samples before organ donation. Individuals with NAT-positive reports at any timepoint during their terminal hospital admission were considered “COVID-19 donors”.

SARS-CoV-2-infected donors were subcategorized into “active COVID-19” (aCOV) and “recently resolved COVID-19” (rrCOV) donors. The aCOV group included individuals with NAT-positive reports in the initial two days following organ donation. The rrCOV group included those with NAT-positive reports during the initial period but who showed NAT-negative results before organ donation.

Individuals who were NAT-positive more than two days before organ donation was included in the aCOV group unless the presence of evidence of subsequent adverse reports within two days of the most recent NAT-positive report. The team excluded donor individuals with COVID-19 antibody or antigen testing reports other than NAT. They compared heart transplantation outcomes and performed Cox proportional hazards regression modeling to calculate the hazard ratios (HRs).

The participants were followed up until 30 September 2022. Pediatric transplant recipients, adults who received multiorgan transplants or re-transplants, and those with missing HT follow-up data were eliminated from the analysis. The primary study outcome was death due to any cause up to six months and 12 months into the follow-up period. The secondary study outcomes included stroke, pacemaker use, hemodialysis, and post-heart transplant hospital stay duration.

Results

Of 1,445 SARS-CoV-2-infected donors identified, 428 and 1,017 were rrCoV and aCOV, respectively, and of 309 heart transplants using SARS-CoV-2-infected donors, 239 HTs among adults (150 and 89 aCOV and rrCOV, respectively) satisfied the eligibility criteria. SARS-CoV-2-infected donors were of lower age and predominantly male compared to non-COV donor individuals.

Compared to transplant recipients using non-COV donor individuals, those using aCOV donor individuals had higher mortality at six months and 12 months, with HR values of 1.7 and 2.0, respectively. Transplant recipients who used non-COV and rrCOV donor individuals had comparable mortality at six and 12 months. HTs from SARS-CoV-2-infected and uninfected donors yielded comparable secondary study outcomes.

In addition, rrCoV and aCOV donor individuals had comparable secondary outcomes. Similar findings were observed for propensity score (PS)-matched study cohorts. SARS-CoV-2-infected donor HT counts increased during the study period. Of interest, peaks for HTs with SARS-CoV-2-infected donor individuals followed the surges in SARS-CoV-2 infections in community settings in the US.
Conclusions

Overall, the study findings showed HT recipients from aCOV donor individuals had higher mortality at six months and 12 months, whereas the mortality rates were comparable among those who received hearts from rrCOV and non-COV donor individuals. The findings indicated that heart transplants from rrCOV donor individuals appear safe, whereas HTs from aCOV donors might be related to increased mortality.

Significant trends of increases in SARS-CoV-2-infected (rrCoV and aCOV) donor use were observed during the study period. HT facilities selectively selected SARS-CoV-2-infected donors, who were predominantly younger and male. Probable donors underwent multiple SARS-CoV-2 NATs before organ donation, with greater numbers for NAT-positive individuals than those testing NAT-negative for SARS-CoV-2 (three versus two tests per donor, respectively).

The increase in mortality at six months and 12 months among adult transplant recipients from aCOV donors was concerning. Heart transplantation facilities must thoroughly evaluate the risk-benefit ratio of transplanting hearts from aCOV donor individuals. Further research must incorporate analysis of data including cycle threshold (Ct) values (to assess viral loads), donor infection history (including diagnosis date, symptomatology, and causative SARS-CoV-2 strain), COVID-19 vaccination status, and specific therapies administered to HT recipients from COVID-19 donors.

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Bladder Immune Cells’ Memory Deficit May Aid Re-Infection

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Bladder Immune Cells’ Memory Deficit May Aid Re-Infection

Urinary tract infections (UTIs) reoccur easily, in part, because one type of bladder immune cells is slow to develop immune memory, finds a Science Immunology study in mice. While the results are too preliminary to inform clinical guidelines for treating UTIs, the new work spotlights a less-studied cell population that could be exploited by researchers during the UTI vaccine creation process.

“By understanding how we develop memory to this infection, we can use this knowledge to develop therapies such as vaccination or immunomodulation,” said Matthieu Rousseau, the first author on the paper who investigates the nuances of bladder immunity with corresponding author Molly Ingersoll at the Institut Pasteur.

While examining the behavior of bladder immune cells in mice with UTIs, Rousseau, Ingersoll and their colleagues also observed that the timeframe for delivering antibiotics to mice with UTIs seemed to have some influence on how well some cells called resident memory T cells created memory of the infecting bacteria.

“This is an idea that absolutely requires more testing in preclinical studies and humans,” said Ingersoll. “It’s important to add that we are not advocating that individuals with a UTI delay starting a course of antibiotics.”
BACTERIA THAT BOUNCE BACK

Even when treated with antibiotics, UTIs have a reputation for recurrence. The bacteria that cause them — including the most widespread type, E. coli — are very good at bouncing back.

“Both preclinical and clinical studies have shown that the bacteria that cause the infection can form reservoirs in the bladder and the gut. By living inside cells, bacteria could potentially escape elimination by antibiotics and later emerge to cause a new infection,” said Ingersoll and Rousseau.

In the past, if a doctor saw a patient who had frequent UTIs, they might prescribe a low dose of antibiotics for roughly six months or longer. While this clinical approach is still helpful in certain cases, it can sometimes encourage UTI-causing microbes to evolve drug resistance.

“Urinary tract infection is the second most common reason for prescribing antibiotics and a prime example of the antibiotic crisis,” said Rousseau, citing the World Health Organization as a reference to learn more about antibiotic resistance. “When antibiotics do work, they only treat the current infection but cannot prevent a future recurrent infection. New non-antibiotic-based therapies are urgently needed, or UTI will become impossible to treat.”

Beyond tenacious drug-resistant bacteria, immune cell activity might also contribute to the likelihood of UTI recurrence in some people. The team previously published a 2020 Science Advances mouse study that revealed the existence of two subsets of bladder residing macrophages and described how those macrophages influence the region’s response to infection and re-infection. Over the past few years, other analyses have indicated that immune cells within the urinary tract writ large may have poor memory.

Since immune memory is a central tenet of vaccination, the urinary tract’s memory deficit makes it harder to derive a UTI vaccine that could circumvent the need for chronic antibiotic use.
MAKING MEMORIES

By examining bladder immune cells in female mouse models of primary and recurrent UTIs, the scientists found that one way in which the bladder’s mucosal layer reacts to UTI-causing E. coli is by encouraging the growth of bacteria-specific tissue resident (TRM) cells. This was a surprising observation that challenged what was thought about how the immune system might facilitate UTI cycles. Existing theories suggested that T cells in the bladder transformed into a T helper cell subset that prioritized repairing tissue over eradicating bacteria, essentially enabling E. coli to regrow and resume infection. However, Rosseau and Ingersoll did not see a tissue repair-centric pathway happen in their mice in the lab.

“We tested this hypothesis, finding that bladder T cells differentiate into all types of helper subsets during infection, without a specific bias towards just one type,” said Rousseau. “It was this result that led us to find the special type of memory T cells that live in the tissue after an infection in the bladder and mediate protection to recurrent UTI.”

Upon further investigations, the authors saw that if antibiotics were given to mice early in infection, too much E. coli died and an insufficient amount of TRM cells formed, leading to weak memory when re-infected. The optimal time to give drugs to the mice seemed to be around 48 hours after the start of infection.

“When we waited 48 hours, the negative impact on immune memory and T cell numbers was gone,” said Ingersoll. She stressed that while this phenomenon might suggest that a slight delay in treatment could help improve bladder immune memory, it is far too soon to extrapolate how the findings might impact the treatment for UTIs in people.

“This idea needs to be tested in humans before making blanket statements about the risk of antibiotic treatment, especially in light of its benefits in clearing infection,” said Rousseau and Ingersoll.
TREATMENT TAKEAWAYS

Several hurdles must be cleared before any changes are made to existing clinical UTI protocols. First, immunologists must determine whether humans even have bladder TRM cells that perform similarly to those in mice. This process requires invasive bladder biopsies. Second, there needs to be a way to pin down exactly when UTIs begin. Doing so is far more difficult in humans than in laboratory mice. Without knowing the precise start of infection, not much can be done to optimize the delivery of antibiotics.

“Developing new therapies for infection, that rely less on antibiotics or can even eliminate the need for antibiotics, should be a priority,” said Ingersoll and Rousseau.

Their laboratory group is motivated to conduct future experiments surrounding the nuances of bladder immune memory. For example, they plan to look for biomarkers that might indicate the existence of TRM cells in humans, which would bypass the need for bladder biopsies. Those human TRM cells could be targeted by UTI vaccines to strengthen immune memory against pathogenic urinary tract bacteria.

“Our results suggest that a vaccine strategy that promotes the development of tissue resident memory T cells would be beneficial to prevent recurrent UTI. This idea needs to be tested in animals first,” Ingersoll said.

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International Conference on Infectious Diseases

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Infectious diseases treatment with a latex containing milk producing plant

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                          Infectious diseases treatment with a latex containing milk producing plant

LAHORE – Infectious Diseases and their treatment with a latex contain­ing plant Calotropisprocerais a latex (milk) producing plant with plenty of medicinally sig­nificant compounds. All of its parts including leaves, roots, and bark are famous for various human and animal ailments.It is locally known as Akk in Paki­stan while it is also called by dif­ferent names in other countries like dead sea apple, milkweed, sodom apple, swallow-wort and usher. The milk is produced by all parts of this plant and oozes out enormously on cutting any part. It is reported to be en­riched with a range of biologi­cally active phyto-constituents. Akk is famous for its use in folk medicines where its different parts are used as analgesic, an­tiulcer, anthelmintic, antitumor, antidiarrheal, antimicrobial, an­tioxidant, antiviral, anti-inflam­matory, and hepatoprotective activity. The motivation behind research on the milky part of this plantwas to find out scien­tific reasons for its famous ap­plication on skin against various diseases. We separated out the proteins that are the major com­ponent of its milk and checked it against different microorgan­isms. Protein fraction obtained showed very good results on invitro experiments. After find­ing its good antimicrobial ac­tivity we also checked whether the protein component is toxic or safe on our active doses by different experiments. Toxicity tests are very important and ev­ery medicine is therapeutically considerable if it has less toxic effects. In case of latex produc­ing plants toxicity tests are more important because the rubber component that is the major part of latex is very toxic itself. In our experiments we have also checked genetic toxicity, its mu­tation producing ability and its toxicity on cells by applying it on cell lines so that we can get idea how it would effect living body on exposure. In all our tests pro­teins obtained from milky psrt of Akk plant are safe on our test doses while on higher doses it was found somewhat toxic so it is our recommendation that la­tex should be used for treating diseases with cautions so that toxic effect could be subsided. The present study concluded that latex is a rich source of phar­macologically active proteins, so can be used in the future for dif­ferent ailments. Keeping in view rise in the resistance of currently available antibiotics, bioactive peptides were screened for their anti-microbial potential against microbes. According to previous researches laticifer proteins are soluble proteins in nature and have a lot of other pharmacologi­cal activities. While the toxico­logical part of our study revealed that these proteins are safer at lower therapeutic doses and can be used for the treatment of many infectious diseases.

International Conference on Infectious Diseases

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