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By Susha Cheriyedath, M.Sc. Jul 31 2023 Reviewed by Benedette Cuffari, M.Sc.

A recent study published in PLOS Pathogens identifies the Leptospira membrane protein L36 (MPL36) as essential for its pathogenesis and, as a result, a potential target for future diagnostics and prophylactics.

Study:  MPL36, a major plasminogen (PLG) receptor in pathogenic Leptospira, has an essential role during infection.  Image Credit: Kateryna Kon / Shutterstock.com Background

The human plasminogen (PLG) system provides a proteolytic substrate for pathogen invasiveness and tissue damage, thereby increasing the virulence of various bacterial species. Sequestration of PLG and activation into plasmin (PLA) is important for bacterial survival, as PLA degrades fibrin clots, extracellular matrix (ECM) molecules, and the host's innate immunological proteins to enable bacteria to spread and evade immune responses ultimately.

Leptospirosis, a life-threatening infectious disease, is a zoonotic disease that accounts for over one million infections and about 60,000 deaths each year throughout the world. In severe forms of leptospirosis, patients will often experience severe hemorrhaging and acute kidney injury.

Leptospira enter the host through injured skin or mucous membranes and subsequently travel through viscous environments to ultimately reach the bloodstream. Thereafter, Leptospira participate in cellular adhesion, which is mediated by various surface proteins that interact with ECM components.

Previous studies indicate that many Leptospira proteins act as PLG receptors, some of which include outer membrane proteins (OMPs) like endostatin-like protein A (LenA), as well as Leptospiral immunoglobulin-like proteins A (LigA), LiGB, and LipL32.

To date, there remains a lack of data on the pathogenesis of leptospirosis, which has prevented the development of sensitive diagnostic instruments and efficient prophylactic treatments. The present study reports that MPL36 binds with PLG, promotes adherence to host cells, and degrades fibrinogen by converting bound PLG to PLA. About the study

The current study utilized Leptospira interrogans serovar Manilae strain L495 and its mutant stains, including Manilae mpl36 mutant complemented strain (Δmpl36+) and Leptospira biflexa serovar Patoc strain Patoc 1. These strains were cultured in Madin-Darby canine kidney (MDCK) cells, following which their growth curves were analyzed using dark-field microscopy, motility, and immunoblot assays.  

Recombinant MPL36 (rMPL36) protein was produced using E. coli expression. Intrinsic tryptophan fluorescence spectroscopy and nickel affinity chromatography evaluated the tertiary structure of rMPL36, rMPL36 aa41-305, and rMPL36 aa41-235. The binding capacity of rMPL36 was determined, and the conversion of PLG bound to rMPL36 into active PLA was evaluated.

The binding of rMPL36 to ECM proteins and PLG was determined by staining for fibronectin, laminin, PLG, and bovine serum albumin (BSA). The pathogenicity of Manilae wildtype (WT) and mutant strains was also evaluated in three-week-old male Golden Syrian hamsters. Related StoriesSARS-CoV-2 spike protein's role in lung injury unraveled: promising new approach uncoveredMitochondrial repair protein discovery may lead to new anti-aging treatmentsSalk researchers uncover molecular mechanisms of HIV drug resistance

The tertiary structure of sporulation-related repeat (SPOR) domains from leptospiral species was predicted using AlphaFold and PyMOL software ClustalX to match MPL36 SPOR domain sequences from various Leptospira species. In vivo data was analyzed using Prism 9, Fisher's exact test, and analysis of variance (ANOVA) to ecludate the mechanisms of rMPL36 binding to host components and BSA. MPL36 is a crucial target for leptopsirosis

The motility assay revealed that, as compared to wild-type cells, mpl36 mutant and complemented strains did not significantly differ in their motility or growth characteristics. Immunofluorescence staining confirmed the subcellular localization of MPL36 in Leptospira as an outer membrane protein in both wild-type and complement cells.

Immunoprecipitation studies revealed that rMPL36 exhibited significant binding to both rLigA and rLigB, whereas no binding was observed between rMPL36 and fibronectin nor laminin.

However, rMPL36 was found to effectively bind to human PLG as compared to other recombinant proteins that were used as positive and negative controls. Within rMPL36, the conserved SPOR domain, which is located at the last 70 amino acids of the protein, is essential for the binding between rMPL36 and PLG.

Hamsters that were infected with the wild-type strain died between eight and nine days following infection with Leptospira. Comparatively, mpl36 mutant hamsters who were infected with 108 leptospires survived without exhibiting any symptoms of leptospirosis, thereby demonstrating the significant role of MPL36 in leptospirosis.

Convalescent sera were obtained from Brazilian individuals with laboratory-confirmed severe leptospirosis. To this end, anti-MPL36 immunoglobulin M (IgM) and IgG were observed in leptospirosis patients’ samples as compared to sera from healthy individuals. Study takeaways

MPL36 is an outer membrane Leptospira protein that is capable of binding to PLG, degrading fibrinogen, and facilitating host infection. Despite these findings, additional research is needed to better understand leptospiral pathogenesis and advance diagnostic and prevention strategies. Journal reference: Zhu, W., Passalia, F. J., Hamond, C., et al. (2023). MPL36, a major plasminogen (PLG) receptor in pathogenic Leptospira, has an essential role during infection. PLOS Pathogens. doi:10.1371/journal.ppat.1011313 https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1011313

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‘Dangerous proposition’: Top scientists warn of out-of-control AI

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'Dangerous proposition': Top scientists warn of out-of-control AI

Yoshua Bengio (L) and Max Tegmark (R) discuss the development of artificial general intelligence during a live podcast recording of CNBC’s “Beyond The Valley” in Davos, Switzerland in January 2025.

CNBC

Artificial general intelligence built like “agents” could prove dangerous as its creators might lose control of the system, two of of the world’s most prominent AI scientists told CNBC.

In the latest episode of CNBC’s “Beyond The Valley” podcast released on Tuesday, Max Tegmark, a professor at the Massachusetts Institute of Technology and the President of the Future of Life Institute, and Yoshua Bengio, dubbed one of the “godfathers of AI” and a professor at the Université de Montréal, spoke about their concerns about artificial general intelligence, or AGI. The term broadly refers to AI systems that are smarter than humans.

Their fears stem from the world’s biggest firms now talking about “AI agents” or “agentic AI” — which companies claim will allow AI chatbots to act like assistants or agents and assist in work and everyday life. Industry estimates vary on when AGI will come into existence.

With that concept comes the idea that AI systems could have some “agency” and thoughts of their own, according to Bengio.

“Researchers in AI have been inspired by human intelligence to build machine intelligence, and, in humans, there’s a mix of both the ability to understand the world like pure intelligence and the agentic behavior, meaning … to use your knowledge to achieve goals,” Bengio told CNBC’s “Beyond The Valley.”

“Right now, this is how we’re building AGI: we are trying to make them agents that understand a lot about the world, and then can act accordingly. But this is actually a very dangerous proposition.”

Bengio added that pursuing this approach would be like “creating a new species or a new intelligent entity on this planet” and “not knowing if they’re going to behave in ways that agree with our needs.”

“So instead, we can consider, what are the scenarios in which things go badly and they all rely on agency? In other words, it is because the AI has its own goals that we could be in trouble.”

The idea of self-preservation could also kick in, as AI gets even smarter, Bengio said.

“Do we want to be in competition with entities that are smarter than us? It’s not a very reassuring gamble, right? So we have to understand how self-preservation can emerge as a goal in AI.”

AI tools the key

For MIT’s Tegmark, the key lies in so-called “tool AI” — systems that are created for a specific, narrowly-defined purpose, but that don’t have to be agents.

Tegmark said a tool AI could be a system that tells you how to cure cancer, or something that possesses “some agency” like a self-driving car “where you can prove or get some really high, really reliable guarantees that you’re still going to be able to control it.”

“I think, on an optimistic note here, we can have almost everything that we’re excited about with AI … if we simply insist on having some basic safety standards before people can sell powerful AI systems,” Tegmark said.

“They have to demonstrate that we can keep them under control. Then the industry will innovate rapidly to figure out how to do that better.”

Tegmark’s Future of Life Institute in 2023 called for a pause to the development of AI systems that can compete with human-level intelligence. While that has not happened, Tegmark said people are talking about the topic, and now it is time to take action to figure out how to put guardrails in place to control AGI.

“So at least now a lot of people are talking the talk. We have to see if we can get them to walk the walk,” Tegmark told CNBC’s “Beyond The Valley.”

“It’s clearly insane for us humans to build something way smarter than us before we figured out how to control it.”

There are several views on when AGI will arrive, partly driven by varying definitions.

OpenAI CEO Sam Altman said his company knows how to build AGI and said it will arrive sooner than people think, though he downplayed the impact of the technology.

“My guess is we will hit AGI sooner than most people in the world think and it will matter much less,” Altman said in December.

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Winklevoss brothers mull IPO for Gemini crypto exchange: Report

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Winklevoss brothers mull IPO for Gemini crypto exchange: Report

The Winklevoss brothers are reportedly considering another IPO for Gemini after deciding not to pursue a public listing in 2021.

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Environment

There’s finally(!) an automatic fix to restart failed EV charging sessions

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There's finally(!) an automatic fix to restart failed EV charging sessions

The ChargeX Consortium has figured out how to automatically restart failed EV charging sessions at fast chargers so drivers don’t have to.

Every EV driver has been there. You plug in, walk away to grab food or run errands, and expect your battery to be juicing up at a DC fast charger, only to return and realize nothing happened. Maybe the session failed, or maybe the charger glitched. Either way, you’re stuck unplugging, plugging back in, and now it’s going to take twice as long to charge.

The ChargeX Consortium (National Charging Experience Consortium), which is made up of researchers from the National Renewable Energy Laboratory (NREL), Idaho National Laboratory (INL), and Argonne National Laboratory (ANL), along with industry stakeholders, has come up with a smart fix for one of the most frustrating parts of public EV charging: failed sessions.

Its new report highlights the benefits of what it calls “seamless retry” – a hands-free tech solution that automatically restarts failed charging attempts. In other words, the driver no longer needs to physically unplug and replug the charging connector when a charging session fails.

The consortium’s new tech is designed specifically for DC fast charging. The “novel mechanism” automatically resets both the EV and the charger, then restarts the session in the background, so drivers don’t have to return to the car – or even have to think about it.

Ed Watt, a researcher at NREL and lead author of the “Recommended Practice Seamless Retry for Electric Vehicle Charging” report, said, “With a seamless retry mechanism in place, an EV driver at a retail center can plug in a charging connector, provide user input data, leave to shop, and feel confident that they will return to a charged vehicle.” (Click on the report link to see the specifics of how the novel mechanism works.)

The researchers didn’t just focus on the perks of seamless retry – they also looked at potential downsides. One concern was the extra time it might take for the system to restart a failed session, which could leave drivers frustrated. To tackle that, the consortium suggests that the EV industry provide transparency in the form of real-time status updates, insights into what went wrong, and recommendations based on the type of charging failure and number of attempts made.

Going forward, as the user experience becomes clearer, more work will fine-tune seamless retry. The ChargeX Consortium will keep refining the system – developing smarter, more targeted retry methods, ironing out implementation details, and running verification tests to make sure everything works seamlessly in the real world.

Read more: The latest US EV sales and charger growth – in numbers


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