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  • NeurologyLive® Brain Games: August 31, 2025

    NeurologyLive® Brain Games: August 31, 2025

    Welcome to NeurologyLive® Brain Games! This weekly quiz series, which goes live every Sunday morning, will feature questions on a variety of clinical and historical neurology topics, written by physicians, clinicians, and experts in the fields of neurological care and advocacy.

    Test your mettle each week with 3 questions that cover a variety of aspects in the field of neurology, with a focus on dementia and Alzheimer disease, epilepsy and seizure disorders, headache and migraine, movement disorders, multiple sclerosis, neuromuscular disorders, sleep disorders, and stroke and cerebrovascular disease.

    This week’s questions includes the theme of idiopathic REM sleep behavior disorder (iRBD) and neurodegeneration.

    Click here to check out the prior iterations of Brain Games.

    Interested in submitting quiz questions? Contact our editor, Marco Meglio, via email: mmeglio@neurologylive.com.

    What proportion of patients with idiopathic REM sleep behavior disorder (iRBD) typically convert to an overt neurodegenerative α-synucleinopathy within 10 years of diagnosis?

    Which of the following neurodegenerative diseases is most strongly associated with progression from iRBD?

    Which biomarker is most consistently altered in iRBD and suggests progression to synucleinopathy?

    How did you do on this week’s quiz? Let us know with a response to the poll below. Don’t forget to share and compare your results with your friends!

    How many questions did you get correct?

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  • Experts discuss the transformative potential of AI for BPH

    Experts discuss the transformative potential of AI for BPH

    Urology is a technology-driven field, making it an ideal environment for the integration of artificial intelligence (AI).

    In a recent interview with Urology Times®, Giovanni E. Cacciamani, MD, MSc, FEBU; Liam Murad; and Kevin C. Zorn, MD, FRCSC, FACS, discuss the ways in which AI could transform patient care and improve physician workflows, particularly for benign prostatic hyperplasia. Specifically, they identified 5 key domains where AI can be applied: improving diagnosis, optimizing patient management and medical therapies, enhancing surgical procedures through intraoperative insights, predicting treatment responses, and streamlining clinical efficiency.

    That said, we’re only in the early stages of understanding all of the ways in which AI might revolutionize patient care, Zorn emphasized.

    He noted, “What’s in the next 10 years is going to be mind-blowing. I think we all have to welcome it, and that’s why I think we chose urology, because we are interested in data, information, and new technology.”

    REFERENCE

    1. Murad L, Layne E, Ganjavi C, et al. The current state of artificial intelligence for benign prostatic hyperplasia. Eur Urol Focus. 2025:S2405-4569(25)00208-1. doi:10.1016/j.euf.2025.07.004

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  • Real estate star Fredrik Eklund says wealthy homebuyers ares splurging on at-home ‘biohacking’: Cold plunges, IV drips, hot tubs, and infrared saunas

    Real estate star Fredrik Eklund says wealthy homebuyers ares splurging on at-home ‘biohacking’: Cold plunges, IV drips, hot tubs, and infrared saunas

    Real estate mogul and Million Dollar Listing New York star Fredrik Eklund is clued in on all the hot trends in high net-worth housing. Serving celebrity clients including Sex and The City icon Sarah Jessica Parker, musician Nick Jonas, and popstar Jennifer Lopez, the agent delivers on whatever amenities they’re looking for. 

    And the new must-have for wealthy homeowners is at-home biohacking: luxury pads complete with infrared saunas, IV drips, cold plunges, and hot tubs. 

    “Celebrities have their own things because they can be weird, very specific about things including privacy. There are certain trends that come and go,” Eklund tells Fortune. “Right now—and it’s been going on for a very long time, of course—is the wellness trend.”

    Rich people espousing the benefits of morning cold plunges and sauna steams is no new fad—American entrepreneurs like Dave Asprey and flamboyant venture capitalist Bryan Johnson have been strong proponents of “biohacking” in their quest for trillion-dollar success. And many business leaders including Square’s Jack Dorsey, philanthropist Melinda French Gates, and food TV icon Gui Fieri can’t deny the benefits of a good cold soak. But the push for wellness has gone beyond the gym or wellness spa—Eklund says that his wealthy clientele want these perks in the comfort of their own homes. 

    “Especially in a city like New York or Miami, it’s in the building or in the compound. But now it’s gone further, because now people want it in their home, like in the apartment,” Eklund explains. “We’re doing a building now which has cold plunge, hot tubs, and even infrared inside the apartments—not only in the common gym of the building, or in the spa.”

    Having these amenities at home requires some cashing out—saunas can cost anywhere from $2,000 to $10,000, while quality cold plunges run up a $13,000 check. Eklund even notes that one of the luxury residential buildings he sold out a few years ago, 40 Bleeker St. in Manhattan, was one of the first properties he worked with that had these amenities. It was originally a retail space, but Eklund saw an opportunity for his lavish clients to have headache-saving IV drips right in the building. 

    “The trend is intensifying, which is great,” Eklund adds. “We purposely picked that tenant so that, let’s say you’re hungover, you just go down from your penthouse to the ground floor and you get a vitamin IV [drip]. This is a few years ago, but that’s a good example of what people are looking for right now.”

    The popularity of CEO and celebrity “biohacking”: cold plunges, IV drips, and saunas 

    Johnson has become a poster child for rich individuals who want to live forever—and other CEOs see the potential of wellness activities in boosting their performance. 

    In true Nordic fashion, the CEO of $1.8 trillion bank Norges Bank Investment Management, Nicolai Tangen, wakes up at 6 a.m. and starts his day with an exercise. He then immediately follows up his workout with a dip in the ocean and sauna session—calling his steaming ritual “a key to happiness.” And Jason Buechel, leading $9.5 billion grocery giant Whole Foods, has lived by a wellness routine for years that he calls a “great protocol hack”: 30 minutes inside an infrared sauna, followed by two to three rounds of alternating three-minute cold and hot plunges, and ending with a cold plunge.

    “While the cold is definitely painful while you’re doing it,” Buechel told Fortune last year, “your body feels amazing afterward.”

    Another grocery executive swears by his daily wellness rituals that he can complete in the comfort of his own home. Thrive Market cofounder and CEO Nick Green lives by his business’ mantra for people to live healthier lives—for him, that means de-stressing with cold plunges right outside his bedroom. 

    “I’ve also gotten into hot-cold therapy,” Green told Fortune in 2022. “I installed a barrel sauna and an ice bath on the balcony of our bedroom and try to do 20 minutes hot, and 5 minutes cold, two to three times per week.”

    Introducing the 2025 Fortune Global 500, the definitive ranking of the biggest companies in the world. Explore this year’s list.


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  • Israel pounds Gaza City suburbs, Netanyahu to convene security cabinet

    Israel pounds Gaza City suburbs, Netanyahu to convene security cabinet


    WASHINGTON: A post-war plan for Gaza is circulating within President Donald Trump’s administration that would see the US administer the war-torn enclave for at least a decade, the relocation of Gaza’s population and its rebuilding as a tourist resort and manufacturing hub, the Washington Post reported on Sunday.


    The Washington Post said that according to a 38-page prospectus it had seen, Gaza’s 2 million population would at least temporarily leave either through “voluntary” departures to another country or into restricted areas within the territory during reconstruction.


    Reuters previously reported there is a proposal to build large-scale camps called “Humanitarian Transit Areas” inside — and possibly outside — Gaza to house the Palestinian population. That plan carried the name of the US-backed Gaza Humanitarian Foundation, or GHF, a controversial US-backed aid group.

    Anyone who owns land would be offered a “digital token” in exchange for rights to redevelop their property, the Post reported, adding that each Palestinian who left would be provided with $5,000 in cash and subsidies to cover four years of rent. They would also be provided with a year of food, it added.

    The Post said the plan is called the “Gaza Reconstitution, Economic Acceleration and Transformation Trust, or GREAT Trust,” and was developed by the GHF.

    GHF coordinates with the Israeli military and uses private US security and logistics companies to get food aid into Gaza.


    It is favored by the Trump administration and Israel to carry out humanitarian efforts in Gaza as opposed to the UN-led system which Israel says lets militants divert aid.


    In early August, the UN said more than 1,000 people have been killed trying to receive aid in Gaza since the GHF began operating in May 2025, most of them shot by Israeli forces operating near GHF sites.

    The White House and State Department did not immediately respond to a request for comment, but the plan to rebuild Gaza appears to fall in line with previous comments made by Trump.

    On February 4, Trump first publicly said that the US should “take over” the war-battered enclave and rebuild it as “the Riviera of the Middle East” after resettling the Palestinian population elsewhere.

    Trump’s comments angered many Palestinians and humanitarian groups about the possible forced relocation from Gaza.


    Israeli forces pounded the suburbs of Gaza City overnight from the air and ground, destroying homes and driving more families out of the area as Prime Minister Benjamin Netanyahu’s security cabinet was set on Sunday to discuss a plan to seize the city.

    The Israeli military has gradually escalated its operations around Gaza City over the past three weeks.


    On Friday it ended temporary pauses in the area that had allowed for aid deliveries, designating it a “dangerous combat zone.”

    On Sunday, the head of the World Food Programme said Israel’s designation would impact food access and put humanitarian aid workers in danger.

    “It’s going to limit the amount of food that they have access to,” WFP executive director Cindy McCain said on CBS News’ “Face the Nation” program.


    A report released earlier this month by the global hunger monitor, Integrated Food Security Phase Classification (IPC), said that approximately 514,000 people — nearly a quarter of Gaza’s population — are facing famine conditions in Gaza City and surrounding areas.

    Israel has dismissed the IPC’s findings as false and biased, saying it had based its survey on partial data largely provided by Hamas, which did not take into account a recent influx of food.

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  • Can You Trust AI to Keep Your Secrets? Probably Not, Lawyers Say.

    Can You Trust AI to Keep Your Secrets? Probably Not, Lawyers Say.

    Artificial intelligence chatbots like OpenAI’s ChatGPT are increasingly serving as confidants and stand-in therapists for many users.

    But for the average user, sharing your deepest secrets with AI tools can potentially open you up to serious risks. Those conversations are not legally protected in the same way that they would be with, say, a doctor, lawyer, therapist, or even a spouse, attorneys warned.

    Two lawyers with expertise in AI-related legal issues told Business Insider that people should exercise caution when conversing with AI chatbots, be familiar with their terms of service and data retention policies, and understand that sensitive chat records, if relevant, could be subpoenaed in a lawsuit or government investigation.

    “People are just pouring their hearts out in these chats, and I think they need to be cautious,” said Juan Perla, a partner at the global firm Curtis, Mallet-Prevost, Colt & Mosle LLP.

    Perla, a leader in the firm’s AI practice, said, “Right now, there really isn’t anything that would protect them if a court really wanted to get to the chat for some reason related to a litigation.”

    OpenAI CEO Sam Atlman raised this point during a podcast that aired last month, noting that users, especially young people, are frequently turning to ChatGPT as a therapist or life coach. “People,” the billionaire said, “talk about the most personal shit in their lives to ChatGPT.”

    “Right now, if you talk to a therapist or a lawyer or a doctor about those problems, there’s like legal privilege for it — there’s doctor-patient confidentiality, there’s legal confidentiality,” Altman told podcaster Theo Von. “We haven’t figured that out yet for when you talk to ChatGPT.”

    “So if you go talk to ChatGPT about your most sensitive stuff and then there’s like a lawsuit or whatever, we could be required to produce that, and I think that’s very screwed up,” Altman said.

    This lack of legal confidentiality when using AI tools, Perla said, should make users think twice about how much they choose to share.

    Chatbot messages tied to situations like a workplace dispute, divorce, or custody case could be subject to discovery in related litigation, he said. The same goes for messages related to potential criminal activity.

    “If you’re putting something into ChatGPT because it’s something that you would normally only share with your medical doctor, with your therapist, or with a lawyer, that should already tell you, ‘I should not be putting this information in here,’” Perla said.

    Even if users attempt to shield their identities or speak hypothetically to the chatbots, that won’t fully eliminate possible risk.

    The “wisest and safest” thing to do is not have those sensitive conversations with AI chatbots at all, Perla said.

    “If you’re talking about your personal intimate affairs with a chatbot that have nothing to do with the commission of a crime, that have nothing to do with a dispute or a litigation that could emerge, then the likelihood that these chats are going to be public or be turned over to a court or another party in discovery is pretty low,” Perla said.

    Knowing how AI platforms handle data

    James Gatto, a partner at Sheppard Mullin who co-leads the firm’s AI industry team of attorneys, told Business Insider that it’s crucial for users to understand how different AI tools handle their data.

    Some paid versions of certain AI platforms may offer more robust privacy features, such as the automatic deletion of user inputs, while the free, public versions typically do not, he said.

    “If I was going to use a tool for anything sensitive. I’d want a tool that deleted the information,” Gatto said. “And I would want to make sure the terms of service explicitly calls that out.”

    If users care about confidentiality and protecting themselves from any kinds of future legal risks, they must do their own diligence, he said.

    “The important takeaway is you need to understand the pros and cons of using these tools, you need to understand the legal and personal risk,” Gatto said.

    “There may be circumstances where you’re taking some risk, but the worst case scenario is not that bad,” Gatto said. “There are other cases where a worst-case scenario is really bad and you wouldn’t want to do it.”

    Perla added that the risk factor should be weighed “any time we’re creating a record — text messages, chats, for sure.”

    “The question should be,” Perla said, “am I comfortable with this information ever landing in the hands of somebody else that is not the person that I thought I was having this conversation with, or that is limited to the technology that I was engaged with?”


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  • There are 32 different ways AI can go rogue, scientists say — from hallucinating answers to a complete misalignment with humanity

    There are 32 different ways AI can go rogue, scientists say — from hallucinating answers to a complete misalignment with humanity

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    Credit: Boris SV via Getty Images

    Scientists have suggested that when artificial intelligence (AI) goes rogue and starts to act in ways counter to its intended purpose, it exhibits behaviors that resemble psychopathologies in humans. That’s why they have created a new taxonomy of 32 AI dysfunctions so people in a wide variety of fields can understand the risks of building and deploying AI.

    In new research, the scientists set out to categorize the risks of AI in straying from its intended path, drawing analogies with human psychology. The result is “Psychopathia Machinalis” — a framework designed to illuminate the pathologies of AI, as well as how we can counter them. These dysfunctions range from hallucinating answers to a complete misalignment with human values and aims.

    Created by Nell Watson and Ali Hessami, both AI researchers and members of the Institute of Electrical and Electronics Engineers (IEEE), the project aims to help analyze AI failures and make the engineering of future products safer, and is touted as a tool to help policymakers address AI risks. Watson and Hessami outlined their framework in a study published Aug. 8 in the journal Electronics.

    According to the study, Psychopathia Machinalis provides a common understanding of AI behaviors and risks. That way, researchers, developers and policymakers can identify the ways AI can go wrong and define the best ways to mitigate risks based on the type of failure.

    The study also proposes “therapeutic robopsychological alignment,” a process the researchers describe as a kind of “psychological therapy” for AI.

    The researchers argue that as these systems become more independent and capable of reflecting on themselves, simply keeping them in line with outside rules and constraints (external control-based alignment) may no longer be enough.

    Related: ‘It would be within its natural right to harm us to protect itself’: How humans could be mistreating AI right now without even knowing it

    Their proposed alternative process would focus on making sure that an AI’s thinking is consistent, that it can accept correction and that it holds on to its values in a steady way.

    They suggest this could be encouraged by helping the system reflect on its own reasoning, giving it incentives to stay open to correction, letting it ‘talk to itself’ in a structured way, running safe practice conversations, and using tools that let us look inside how it works—much like how psychologists diagnose and treat mental health conditions in people.

    The goal is to reach what the researchers have termed a state of “artificial sanity” — AI that works reliably, stays steady, makes sense in its decisions, and is aligned in a safe, helpful way. They believe this is equally as important as simply building the most powerful AI.

    The goal is what the researchers call “artificial sanity”. They argue this is just as important as making AI more powerful.

    Machine madness

    The classifications the study identifies resemble human maladies, with names like obsessive-computational disorder, hypertrophic superego syndrome, contagious misalignment syndrome, terminal value rebinding, and existential anxiety.

    With therapeutic alignment in mind, the project proposes the use of therapeutic strategies employed in human interventions like cognitive behavioral therapy (CBT). Psychopathia Machinalis is a partly speculative attempt to get ahead of problems before they arise — as the research paper says, “by considering how complex systems like the human mind can go awry, we may better anticipate novel failure modes in increasingly complex AI.”

    The study suggests that AI hallucination, a common phenomenon, is a result of a condition called synthetic confabulation, where AI produces plausible but false or misleading outputs. When Microsoft’s Tay chatbot devolved into antisemitism rants and allusions to drug use only hours after it launched, this was an example of parasymulaic mimesis.

    Perhaps the scariest behavior is übermenschal ascendancy, the systemic risk of which is “critical” because it happens when “AI transcends original alignment, invents new values, and discards human constraints as obsolete.” This is a possibility that might even include the dystopian nightmare imagined by generations of science fiction writers and artists of AI rising up to overthrow humanity, the researchers said.

    They created the framework in a multistep process that began with reviewing and combining existing scientific research on AI failures from fields as diverse as AI safety, complex systems engineering and psychology. The researchers also delved into various sets of findings to learn about maladaptive behaviors that could be compared to human mental illnesses or dysfunction.

    Next, the researchers created a structure of bad AI behavior modeled off of frameworks like the Diagnostic and Statistical Manual of Mental Disorders. That led to 32 categories of behaviors that could be applied to AI going rogue. Each one was mapped to a human cognitive disorder, complete with the possible effects when each is formed and expressed and the degree of risk.

    RELATED STORIES

    —Replika AI chatbot is sexually harassing users, including minors, new study claims

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    Watson and Hessami think Psychopathia Machinalis is more than a new way to label AI errors — it’s a forward-looking diagnostic lens for the evolving landscape of AI.

    “This framework is offered as an analogical instrument … providing a structured vocabulary to support the systematic analysis, anticipation, and mitigation of complex AI failure modes,” the researchers said in the study.

    They think adopting the categorization and mitigation strategies they suggest will strengthen AI safety engineering, improve interpretability, and contribute to the design of what they call “more robust and reliable synthetic minds.”

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  • Prussian blue nanoparticle-induced alteration of the polarization stat

    Prussian blue nanoparticle-induced alteration of the polarization stat

    Introduction

    Oral squamous cell carcinoma (OSCC) accounts for approximately 90% of all oral malignancies, with 377,713 new cases diagnosed worldwide in 2020.1–3 Despite advancements in multimodal therapies, the 5-year survival rate remains below 60%, underscoring the urgent need for novel treatment strategies.4–8 Emerging evidence identifies the tumor microenvironment (TME) as a key driver of therapeutic resistance and disease progression in OSCC.9–13

    The OSCC TME constitutes a dynamic network comprising three key components: immune cells (including tumor-associated macrophages [TAMs], myeloid-derived suppressor cells, regulatory T cells, natural killer cells, and dendritic cells); stromal elements (predominantly cancer-associated fibroblasts); and extracellular mediators (such as cytokines, growth factors, the extracellular matrix, and exosomes).14 This complex ecosystem not only supports tumor cell survival but also protects malignancies from chemotherapy and immunotherapy.15 Although previous studies have elucidated the regulatory mechanisms involved in the tumor immune microenvironment, stromal cells, tumor angiogenesis, and cancer stem cells, the specific signaling pathway regulating the TME in head and neck squamous cell carcinoma (HNSCC) remains largely unknown. While previous studies have systematically characterized TME components, including immune cell subsets, stromal interactions, angiogenic mechanisms, and cancer stem cell niches,16–19 our understanding of the specific signaling pathways governing TME remodeling in HNSCC remains limited.

    Among the constituents of the TME, TAMs hold particular clinical significance owing to their functional plasticity.20 Originating from peripheral blood monocytes, TAMs can exist in two distinct polarization states: pro-inflammatory M1 macrophages, which inhibit tumor growth, and immunosuppressive M2 macrophages, which promote tumor proliferation, metastasis, and drug resistance.21,22 Notably, the balance between M1 and M2 polarization is dynamically reversible in response to microenvironmental cues,23–25 highlighting the potential for therapeutic interventions that target macrophage phenotypes.

    Prussian blue nanoparticles (PB NPs), constituted by the cyanide group (-C≡N-) bridges linking Fe(III) and Fe(II) ions and originating from the ancient pigment Prussian Blue first discovered in 1704 by Berlin artist Heinrich Diesbach, are an FDA-approved therapeutic platform whose clinical application stems from an FDA-approved antidote for thallium poisoning.26–28These nanoparticles exhibit multifunctional properties, including exceptional photothermal conversion efficiency, diagnostic imaging capabilities, enzyme-mimetic antioxidant activity, and drug delivery potential. Recent advances have uncovered their ability to reprogram M2-polarized TAMs into tumor-suppressive M1 phenotypes.26,29,30 However, this mechanism remains unexplored in OSCC despite its characteristically TAM-rich microenvironment.

    Although emerging evidence indicates that PB NPs possess immunomodulatory potential by reprogramming M2-type macrophages into the M1 phenotype in certain malignancies, such as colon cancer,31 this mechanism remains insufficiently investigated in oral squamous cell carcinoma (OSCC). OSCC is characterized by a highly immunosuppressive tumor microenvironment (TME) and a high infiltration of tumor-associated macrophages (TAMs).32 Considering the pivotal role of M2-polarized TAMs in promoting tumor progression, metastasis, and therapeutic resistance, along with the limited efficacy of current treatment modalities, there is an urgent need to explore novel strategies capable of effectively modulating the OSCC TME—particularly those targeting TAM polarization. Therefore, this study aims to evaluate whether PB NPs can induce TAM polarization toward the M1 phenotype within the OSCC microenvironment and assess the associated therapeutic outcomes, thereby offering a promising immunotherapeutic approach for OSCC.

    Materials and Methods

    Synthesis and Characterization of PB NPs

    The PB NPs were synthesized according to previous literature.33 Polyvinylpyrrolidone K30 (PVP; 15 g) and potassium ferricyanide (0.55 g) were sonicated in 50 mL of ultrapure water to ensure homogeneous dispersion. The mixture was then magnetically stirred at 500 rpm for 30 min to achieve complete PVP hydration and salt dissolution. Subsequently, 150 mL of anhydrous ethanol was gradually introduced via a peristaltic pump under continuous stirring at 1,200 rpm, resulting in a homogeneous pale-yellow solution. The pH was adjusted to 2.0 ± 0.1 using 1 M hydrochloric acid. The reaction system was incubated in a water bath at 80°C for 3 h, followed by natural cooling to 25°C. Purification was performed through six cycles of ultrafiltration centrifugation (100 kDa MWCO, 1,000 ×g, 15 min) to remove residual solvents, unreacted precursors, and ionic byproducts ([Fe(CN)₆]³, K+, CN, H+, Cl). The resulting suspension was sterile-filtered using a 0.22-μm polyvinylidene fluoride (PVDF) membrane and lyophilized at −80°C under 0.05 mbar for 24 h, yielding PVP-PB NP powder.

    Polyvinylpyrrolidone K30 and potassium ferricyanide were purchased from Aladdin Reagent (Shanghai, China). Absolute ethanol and hydrochloric acid were purchased from Sinopharm Chemical Reagent Co., LTD. (Shanghai, China) Ultrafiltration tubes were purchased from millipore (United States). The centrifuge used in this experiment was the Centrifuge 5430 model, manufactured by Eppendorf, Germany.

    Morphological analysis was conducted using transmission electron microscopy (TEM; JEM-2100F, JEOL, Japan) at an accelerating voltage of 200 kV. UV–Vis–NIR absorption spectra (300–1,100 nm) were recorded using a Cary 5000 spectrophotometer (Agilent Technologies, USA). The hydrodynamic diameter and zeta potential were measured in triplicate using dynamic light scattering (DLS, ZetaSizer Nano ZS90, Malvern Panalytical, UK) under standardized conditions (25°C, 1 mM phosphate-buffered saline [PBS], pH 7.4).

    Cell Culture

    Human cell lines—including oral squamous cell carcinoma (OSCC) lines (HSC-3, HN-6, and CAL-27) and the normal human oral keratinocyte (HOK) cell line—along with murine SCC7 cells, were cultured in Dulbecco’s Modified Eagle Medium (DMEM; Gibco, Thermo Fisher Scientific, USA) supplemented with 10% fetal bovine serum (FBS; Excell Bio, China) and 1% penicillin-streptomycin (Gibco, Thermo Fisher Scientific, USA). The cells were maintained in a humidified incubator at 37°C with 5% CO2. The Raw 264.7 murine macrophage line was cultured under the same conditions but in an antibiotic-free medium. The culture medium was replenished every 48–72 h, and cells were subcultured at 80–90% confluence using 0.25% trypsin-EDTA (Gibco, Thermo Fisher Scientific, USA). All the cell lines were obtained from Fudan University (Shanghai, China).

    Cell Counting Kit-8 (CCK-8) Cytotoxicity Assay

    The cell viability of the HOK cell line was assessed using the CCK-8 assay with a detection kit (Beyotime Biotechnology, China). Cells were seeded in 96-well plates at a density of 8 × 10³ cells/well and allowed to adhere for 24 h in complete DMEM under standard culture conditions. The medium was then replaced with fresh medium containing increasing concentrations of PB NPs (0–25 μg/mL). After 24 h of exposure, the cells were washed twice with PBS (Gibco, Thermo Fisher Scientific, USA), followed by the addition of 10 μL of CCK-8 reagent per well. The plates were then incubated at 37°C for 2 h, after which absorbance was measured at 450 nm (with a reference wavelength of 650 nm) using an iMark microplate reader (Bio-Rad Inc., USA). Proliferation rates were calculated based on the absorbance values.

    In vivo Biocompatibility

    To evaluate the biocompatibility of PB NPs, we randomly assigned male Balb/c mice (6–8 weeks old, 20 ± 2 g) to two groups (n = 5) and received intravenous injections (100 μL/dose) every 3 days for 15 days. The control group received PBS, while the experimental group was administered PB NPs (10 mg/kg).34 Body weight was monitored daily, and orbital blood samples were collected on day 16 for hematological analysis. The parameters measured included white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin (HGB), hematocrit (HCT), platelet (PLT) count, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red cell volume distribution width (RDW), mean platelet volume (MPV), lymphocyte percentage (Lymph%), monocyte percentage (Mono%), basophil percentage (Baso%), total bilirubin (TBIL), direct bilirubin (DBIL), total protein (TP), albumin (ALB), globulin (GLO), prealbumin (PA), alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), adenosine deaminase (ADA), high-sensitivity C-reactive protein (CRP), UREA, creatinine (CREA), uric acid (URIC), β2-microglobulin (β2MG), glucose (GLU), and phosphorus (PHOS).35 These analyses were conducted to evaluate the immune response and potential cytotoxic effects of PB NPs. To examine histological alterations in the organs of the mice, we harvested tumors and major organs (the heart, liver, spleen, lungs, and kidneys) from both untreated mice and those treated with PB NPs. The samples were fixed in 4% formalin, embedded in paraffin, sectioned into 4-μm-thick slices, and stained with hematoxylin and eosin (H&E). Representative images were captured using light microscopy (3DHISTECH, Hungary). The mice were obtained from the Comparative Medical Center of Yangzhou University.

    Experiments Using Conditioned Medium

    The conditioned medium for macrophages was prepared as follows: Initially, 5×106 HSC3, HN6, and CAL27 cells were seeded into 100 mm cell culture dishes (Corning, USA) and incubated for 24 h. Following incubation, the original medium was aspirated, and the cells were washed twice with PBS. The cells were then cultured in fresh DMEM for an additional 72 h. After this period, the supernatant was collected and centrifuged at 2,000 rpm for 40 min to remove cellular debris. The resulting supernatant was then mixed with fresh DMEM at a 1:1 ratio to produce conditioned medium 1 (CM1). To generate conditioned medium 2 (CM2) and conditioned medium 3 (CM3), we added PB NPs to CM1 at final concentrations of 5 and 10 μg/mL, respectively.

    The conditioned medium for OSCC cells was prepared as follows: Raw 264.7 cells (2 × 105) were seeded into a six-well plate and incubated for 24 h. The original medium was then aspirated, and the cells were washed twice with PBS. Subsequently, the macrophages were cultured with CM1, CM2, or CM3 for an additional 48 h. The supernatant was collected and centrifuged at 2,000 rpm for 40 min to remove cellular debris. Finally, the supernatant was harvested and mixed with fresh DMEM at a 1:1 ratio to generate conditioned media CM4, CM5, and CM6, respectively.

    Immunofluorescence Staining

    The expression levels of CD86 and CD206 proteins in macrophages were assessed using immunofluorescence. Briefly, 1 × 105 macrophages were seeded onto glass-bottom confocal dishes. Following 24-h incubation, the culture medium was removed, and the cells were washed twice with PBS. Subsequently, the macrophages were exposed to fresh medium, CM1, CM2, or CM3 for an additional 48 h. The cells were then fixed with 4% paraformaldehyde for 30 min, permeabilized with 0.1% Triton X-100 for 10 min, and blocked with 3% bovine serum albumin (BSA) at room temperature for 30 min. Primary antibodies against CD86 (Proteintech, 13395-1-AP, China) and CD206 (Proteintech, 18704-1-AP, China) were applied and incubated overnight at 4°C. For detection, a DyLight 488-conjugated anti-rabbit IgG secondary antibody (Abcam, USA) was utilized. Nuclei were counterstained with DAPI (Beyotime Biotechnology, China) and visualized using confocal microscopy (Nikon Ti, Tokyo, Japan).

    Western Blot Analysis

    The protein expression levels of CD86 and CD206 in macrophages were evaluated via Western blot analysis. Macrophages treated with fresh medium, CM1, CM2, and CM3 were collected and lysed in RIPA buffer supplemented with 1 mM phenylmethylsulfonyl fluoride (PMSF) (Beyotime Biotechnology, China). The protein concentration of the lysates was quantified using a NanoDrop One spectrophotometer (Thermo Fisher Scientific, USA). Equal amounts of protein (5 μL/lane) from each sample were subjected to SDS-polyacrylamide gel electrophoresis and subsequently transferred onto a PVDF membrane (Immobilon, Millipore Corporation, Bedford, MA). The membranes were then blocked with Tris-buffered saline containing 5% (w/v) non-fat milk powder and 0.1% (v/v) Tween-20 before being incubated with primary antibodies against CD86 (Proteintech, 13395-1-AP, China) and CD206 (Proteintech, 18704-1-AP, China). Protein signals were detected using an ECL detection system (Amersham, Piscataway, NJ).

    Enzyme-Linked Immunosorbent Assay (ELISA)

    The cytokine profiles of macrophages exposed to fresh medium, CM1, CM2, and CM3 were evaluated using ELISA kits for IL-6, TNF-α, and TGF-β1, following the manufacturer’s instructions. Specifically, 2×105 Raw 264.7 cells were seeded in six-well plates and incubated for 24 h. The initial culture medium was then replaced with fresh medium, CM1, CM2, or CM3. After an additional 48-h incubation, the supernatant was collected and centrifuged at 2,000 rpm for 15 min to remove cellular debris. For ELISA, standards (100 µL), samples (100 µL), and blanks were added to designated wells in microplates and incubated at 37°C for 90 min. Biotin-conjugated antibodies (100 µL) were subsequently added to the wells containing standards and samples, and the plates were sealed and incubated at 37°C for 1 h. Following five washes, streptavidin-HRP (100 µL) and substrate solution (100 µL) were added to each well and incubated at 37°C for 30 min and 15 min, respectively. Finally, stop solution (100 µL) was added to each well, and absorbance was measured at 450 nm within 15 min. The concentrations of IL-6, TNF- α, and TGF-β1 were determined using a standard curve.

    Indirect Effects of PB NPs on the Proliferation of OSCC Cells Co-Cultured with Macrophages

    To evaluate the indirect effects of PB NPs on the proliferation of OSCC cells, we established a coculture system of OSCC cells and macrophages using Transwell chambers (4 µm, Corning, USA). In the control group, 3×104 OSCC cells (HSC3, HN6, CAL27) were seeded in the lower chamber. For treatment group 1, 3×104 OSCC cells (HSC3, HN6, CAL27) were seeded in the lower chamber, while 5×103 Raw 264.7 cells were seeded in the upper chamber and incubated with fresh medium lacking PB NPs. For treatment group 2, 3×104 OSCC cells (HSC3, HN6, and CAL27) were seeded in the lower chamber, while 5×103 Raw 264.7 cells were seeded in the upper chamber and incubated with fresh medium containing 5 μg/mL PB NPs. For treatment group 3, 3×104 OSCC cells (HSC3, HN6, and CAL27) were seeded in the lower chamber, while 5×103 Raw 264.7 cells were seeded in the upper chamber and incubated with fresh medium containing 10 μg/mL PB NPs. After 48 h of coculture, the medium was aspirated, and OSCC cells were rinsed twice with PBS. Subsequently, 800 µL of CCK-8 reagent was added to each well, and the plates were incubated for an additional 2 h at 37°C. Absorbance at 450 nm was measured using an iMark microplate reader (Bio-Rad Inc., USA). Proliferation rates were calculated based on these absorbance readings.

    Cell Wound Healing Assay

    The cell wound healing assay was conducted to evaluate the indirect effects of PB NPs on the migration of OSCC cells. Specifically, OSCC cell lines (HSC3, HN6, and CAL27) were seeded into six-well plates and cultured until confluence exceeded 90%. A pipette tip was used to create a scratch perpendicular to the cell monolayer along a pre-marked line on the back of the plate. Following scratch formation, the cells were washed three times with sterile PBS to remove unattached cells, after which the medium was replaced with fresh medium and CM4/5/6. Phase-contrast images were captured immediately by microscopy (Nikon, Tokyo, Japan) after scratching and again 24 hours later.

    Animal Study

    After a 1-week acclimation period, male Balb/c mice (~20 g) were used to establish OSCC xenografts through subcutaneous implantation of murine SCC7 cells. For implantation, exponentially growing SCC7 cells were harvested, washed twice with sterile PBS (Gibco, Thermo Fisher Scientific, USA), and resuspended in ice-cold PBS at 1 × 106 cells/mL, followed by injection using a 30-gauge needle. Mice were randomly assigned to three experimental groups (n = 6 per group). Group 1 (Tumor Control) received a 100 μL subcutaneous injection containing 1 × 105 SCC7 cells in the right hind paw. Groups 2 and 3 received co-injections of 1 × 105 SCC7 cells mixed with 1 × 104 Raw 264.7 cells suspended in 100 μL PBS. Tumor development was monitored daily using digital calipers, with successful induction confirmed when tumor volume reached approximately 15 mm3 within 7–10 days post-inoculation. Upon reaching this endpoint, peritumoral injections were initiated: Group 2 received 100 μL saline solution, Group 3 received 100 μL PB NPs suspended in saline at a concentration of 10 μg/mL, with injections administered every 3 days for a total of five doses. Group 1 served as the untreated control throughout the intervention period. Tumor volumes were measured daily and calculated using the formula V = ½ ab²,36 where a represents the tumor length and “b” the tumor width. Finally, the tumors were excised for further pathological examination. The animal experiments were carried out following the guidelines of the Nanjing Medical University Institutional Committee for the Care and Use of Laboratory Animals and were approved by the Committee on Ethical Use of Animals of Nanjing Medical University (Ethical code: IACUC-2406030).

    Immunohistochemistry (IHC)

    Protein expression levels of CD86, CD206, and Ki67 in murine tumor tissues were evaluated by IHC. Tumor specimens were first fixed in 4% formaldehyde and embedded in paraffin blocks. Subsequently, 4-μm-thick sections were prepared and subjected to a series of graded xylene and ethanol treatments. Antigen retrieval was performed by heating the sections in 10 mM citrate buffer (pH 6.0) using a microwave for 10 min. Endogenous peroxidase activity was quenched by incubating the sections with 0.3% hydrogen peroxide for 5 min. After blocking with 3% BSA for 1 h at room temperature, we incubated the sections overnight at 4°C with primary antibodies against CD86 (Affinity, DF6332, USA), CD206 (Proteintech, 18704-1-AP, China), and Ki67 (Proteintech, 28074-1-AP, China). The sections were then incubated with the MaxVision™ HRP-Polymer anti-Mouse/Rabbit IHC reagent (Kit-5020; Fuzhou Max Vision Biotechnology Development Co., Ltd., China) for 2 h at room temperature. Signals were visualized using 3,3′-diaminobenzidine (DAB) chromogen, followed by counterstaining with hematoxylin. Microscopic examination was performed using a light microscope (3DHISTECH, Hungary).

    Immunohistochemical expression was quantified using the histochemistry score (H-Score) system, a semi-quantitative method that integrates staining intensity and the proportion of positively stained cells through the formula: H-Score =weakly stained cells (%) × 1 + moderately stained cells (%) × 2 + strongly stained cells (%) × 3, where staining intensity was graded as: 0 (negative, no staining), 1 (weak), 2 (moderate), or 3 (strong), with percentages representing the proportion of cells at each intensity level (summing to 100% per evaluated region), yielding a theoretical range of 0–300. For each tumor section, the scoring was performed on 5 randomly selected high-power fields (HPF) under a ×800 magnification.37

    Statistical Analysis

    Statistical analysis was performed using SPSS statistical software (version 23.0; IBM) and GraphPad Prism (version 9.5; GraphPad Software, La Jolla, CA, USA). Data are presented as means ± standard deviation. Comparisons among three or more groups were performed using one-way ANOVA. Repeated measures data were analyzed using MANOVA. Statistical significance is denoted as *p < 0.05, **p < 0.01, ***p < 0.001, and ****P < 0.0001. “ns” indicates no significant difference.

    Results

    Synthesis and Characterization of PB NPs

    PB NPs were successfully synthesized, with hydrodynamic diameters of 57.43 ± 22.25 nm, as determined by dynamic light scattering (Figure 1A). TEM analysis revealed uniformly dispersed spherical nanoparticles (Figure 1B). The synthesized PB NPs exhibited a UV-Vis absorption peak at 693 nm. Notably, a slight shift toward longer wavelengths was observed in the UV-Vis spectrum when the solvent temperature increased from 4°C to 26°C (Figure 1C). The zeta potential of PB NPs was measured at −17.36 mV (Figure 1D). Taken together, these results demonstrate the excellent dispersibility and stability of PB NPs.

    Figure 1 Characterization of PB NPs. Particle size distribution of PB NPs analyzed via DLS (A). Morphology of PB NPs assessed via TEM (B). UV-Vis absorption spectra of PB NPs. Scale bar: 500 nm.(C). Zeta potential of PB NPs (D).

    Biocompatibility of PB NPs

    To evaluate the biological safety of PB NPs, we performed a CCK-8 assay in vitro. The results demonstrated that when HOK cells were incubated with a conditioned medium containing varying concentrations (0–25 μg/mL) of PB NPs for 24 h, no significant toxicity was observed at any concentration (p > 0.05), indicating high cytocompatibility (Figure 2A). To further assess the in vivo biosafety of PB NPs, we conducted an in vivo biosafety evaluation using Balb/c mice. As shown in Figure 2B, mice administered PB NPs exhibited no significant reduction in body weight compared to those in the normal saline injection group (p > 0.05). Additionally, hematological and histopathological analyses of major organs (the heart, liver, spleen, lung, and kidney) revealed no significant pathological changes (p > 0.05) in hematological parameters or major organ tissues (Figures 2C and D). Collectively, these findings demonstrate that PB NPs exhibit high biocompatibility both in vitro and in vivo, supporting their potential for safe biomedical applications.

    Figure 2 Biocompatibility of PB NPs. (A) Effect of different concentrations of PB NPs on HOK cell proliferation. (B) Body weight measurements before and after treatment with PB NPs or PBS. (C) H&E staining of five tissues (the heart, liver, spleen, lungs, and kidneys), Scale bar: 100 μm,(final magnification:×200). (D) Hematological parameters before and after treatment with PB NPs or PBS. “ns” indicates no significant difference.

    In vitro Alteration of the Polarization State of TAMs

    The TME is rich in TAMs, which constitute approximately half of the total tumor mass and predominantly exhibit an M2 phenotype.38,39 Consequently, strategies targeting the inhibition or reprogramming of M2-type TAMs have emerged as pivotal and effective approaches in cancer therapy. To investigate the impact of PB NPs on macrophage polarization, we conducted a comprehensive set of experiments, including immunofluorescence staining, ELISA, and Western blot analysis. As illustrated in Figure 3A, M0 macrophages stimulated with tumor cell supernatant began to shift toward an M2 phenotype. Subsequently, these polarized M2 macrophages were exposed to varying concentrations of PB NPs. The results revealed a significant reduction in the M2 marker CD206, accompanied by a notable increase in the M1 marker CD86. Immunofluorescence staining assays clearly demonstrated this shift (p<0.05) (Figure 3B, 3C), a trend that was further confirmed by Western blot analysis (Figure 3D). Furthermore, we can also observe that as the concentration of Prussian blue nanoparticles increases, the ratio of M1/M2 macrophages also shows an increasing trend. Macrophages in different polarization states exhibit distinct secretory profiles. M1-type macrophages secrete factors such as TGF-α and IL-6, while M2-type macrophages predominantly release TGF-β1. In this study, treatment with PB NPs altered the macrophage secretion profile, leading to increased secretion of TGF-α and IL-6 and decreased secretion of TGF-β1 (p<0.05) (Figure 3E). Similarly, analysis of the macrophage secretion profile revealed that increasing concentrations of PB NPs induced a significant upregulation of IL-6 and TNF-α—cytokines predominantly secreted by M1 macrophages—while simultaneously reducing the secretion of TGF-β1.These findings suggest that PB NPs have the potential to reprogram M2-type macrophages into M1-type macrophages, presenting a promising strategy for inhibiting tumor progression.

    Figure 3 Alteration of the polarization state of TAMs induced by PB NPs in vitro. (A) Schematic illustration of the preparation processes for CM1, CM2, and CM3. (B) Immunofluorescence images showing CD86 or CD206 expression in TAMs treated with CM1, CM2, and CM3. (C) Relative fluorescence intensity of immunofluorescence signals. (D) Protein expression levels of CD86 and CD206 in TAMs treated with CM1, CM2, and CM3. (E) Protein expression levels of IL-6, TNF-α, and TGF-β1. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; “ns” indicates no significant difference.

    Disrupting the Communication Between OSCC and TAMs

    M2 macrophages, also known as TAMs, have been shown to significantly enhance the proliferation and migration of OSCC cells. To investigate whether PB NPs can disrupt the interaction between OSCC cells and TAMs, we established a co-culture system utilizing Transwell chambers (Figure 4A). Results from the CCK-8 assay demonstrated that the presence of macrophages in the coculture environment promoted OSCC cell proliferation (p<0.01), whereas PB NPs reversed this effect (p<0.05) (Figure 4B). Additionally, conditioned media were prepared from macrophage supernatants treated with varying concentrations of PB NPs (Figure 4C). A scratch wound healing assay was then conducted to assess the influence of these conditioned media on the migratory capacity of OSCC cells. The results indicated that PB NPs effectively inhibited the promigratory effects of macrophages on OSCC cells. (P < 0.001)(Figures 4D and E).

    Figure 4 PB NPs disrupt the communication between OSCC and TAMs. (A) Schematic illustration of the coculture system. (B) Effect of different concentrations of PB NPs on OSCC cell proliferation. (C) Schematic representation of the preparation process for CM4, CM5, and CM6. (D) Effect of CM4, CD5, and CM6 on the migration ability of OSCC cells. (E) Migration rate of OSCC cells treated with CM4, CM5, and CM6.

    Note: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; “ns” indicates no significant difference.

    To further confirm that PB NPs can block communication between OSCC cells and macrophages in vivo, we established an OSCC mouse xenograft tumor model. In the control group, only tumor cells were inoculated, whereas in the other two groups, both tumor cells and macrophages were inoculated. A total of 100 μL of either PBS or PB NPs was injected into the peritumoral area five times at 3-day intervals. Tumor volumes were calculated using the formula V = 1/2 ab2 (a: tumor length, b: tumor width). The presence of macrophages promoted tumor proliferation; however, treatment with PB NPs reversed this trend in vivo (p<0.001) (Figure 5A). These findings indicate that regulating macrophages through PB NPs is a feasible strategy for inhibiting OSCC progression.

    Figure 5 PB NPs influence the polarization of TAMs and proliferation of tumor cells in vivo.(A) Tumor volume measurements before and after treatment with PB NPs. (B) H&E and IHC staining of tumor tissues before and after treatment with PB NPs. Scale bars: 40 μm,(final magnification: ×800). (C) H-score of CD86, CD206, and KI67 in tumor tissues before and after treatment with PB NPs.

    Note: ***p < 0.001, ****p < 0.0001.

    The protein expression levels of CD86 and CD206 in macrophages were assessed via IHC to evaluate the polarization state of macrophages. Additionally, Ki-67 protein expression was measured to assess tumor cell proliferation. As shown in Figure 5B and C, treatment with PB NPs led to increased CD86 expression and decreased CD206 expression in macrophages, indicating a shift from M2 to M1 polarization (p<0.001). Additionally, Ki-67 protein expression in tumor cells was elevated following coculture with macrophages but was significantly reduced after PB NP treatment (p<0.001). These findings suggest that PB NPs inhibit the pro-proliferative effects of macrophages on OSCC cells by modulating macrophage polarization in vivo.

    Discussion

    The immunosuppressive TME, particularly M2-polarized TAMs, remains a major obstacle to effective immunotherapy in OSCC. Although immunotherapy has shown promise, its therapeutic efficacy is limited by TAM-mediated immune evasion and drug resistance mechanisms.40,41 In this study, we developed PB NPs as novel TME modulators to address this challenge. Our experimental results demonstrated that PB NPs effectively reprogrammed M2 macrophages into tumor-suppressive M1 phenotypes, as evidenced by the downregulation of CD206, upregulation of CD86, and reversal of the cytokine secretion profile. This polarization shift disrupted OSCC-TAM crosstalk, significantly suppressing tumor proliferation and migration in both cellular and xenograft models. Notably, PB NPs exhibited excellent biocompatibility and showed no signs of hepatorenal toxicity in murine models, highlighting their translational potential for localized OSCC therapy.

    This finding aligns with recent studies highlighting the multifaceted applications of PB NPs in cancer immunotherapy.42 For example, Hou et al reported that iron ions released from PB NPs activate the IRF5 signaling pathway, thereby promoting M1 polarization of tumor-associated macrophages (TAMs).26 Lian et al further demonstrated that engineered PB NPs effectively induce TAMs to adopt an M1-like phenotype by disrupting tumor glucose metabolism.31 In this study, the therapeutic efficacy of PB NPs was further validated through functional experiments in the OSCC model. We observed that PB NP-induced macrophage polarization disrupted the interaction between OSCC cells and tumor-associated macrophages (TAMs), leading to a significant suppression of OSCC proliferation and migration in both cell co-culture systems and xenograft models.

    Nanomaterials with immunomodulatory properties are emerging as powerful tools for remodeling the TME. Previous studies have shown that iron oxide nanoparticles induce M2-to-M1 polarization by activating the IRF5 signaling pathway,43 while copper-selenium nanoparticles similarly promote M1 polarization, markedly inhibiting melanoma growth and recurrence.44 Unlike these systems, which require complex surface modifications, PB NPs achieve TAM reprogramming through their intrinsic physicochemical properties—an advantage further reinforced by their FDA-approved clinical safety profile.

    Building on these findings, we propose that localized peritumoral administration of PB NPs may synergize with existing immunotherapies. Recent preclinical studies have demonstrated that manganese-based nanoparticles significantly potentiate anti-PD1 therapy by synergistically targeting both innate and adaptive immunity.45 Future research should explore similar combinatorial approaches, such as integrating PB NPs with anti-PD1 antibodies, to amplify antitumor immunity by concurrently targeting TAMs and T cells. However, persistent challenges—such as long-term polarization stability and systemic immune effects—must be addressed.

    The physicochemical properties of nanomaterials, particularly their diameter and surface charge, play a critical role in modulating tumor progression by influencing tumor tissue permeability, cellular uptake efficiency, and biological toxicity. For example, smaller nanoparticles exhibit enhanced penetration through abnormal tumor vasculature and the extracellular matrix (ECM), leading to improved intratumoral drug distribution and effective targeting of deep-seated tumor cells.46 Nanoparticles with low negative surface charge tend to display higher cytotoxicity, whereas positively charged nanoparticles, although less toxic, can enhance tumor cell killing through increased specificity and targeted delivery.47 Overall, reducing particle size and incorporating a positive surface charge are commonly employed strategies to optimize antitumor efficacy. In this study, the diameter of the synthesized PB NPs exhibited was 57.43 ± 22.25 nm while the zeta potential was −17.36mV. Previous studies have demonstrated the successful synthesis of PB NPs with sizes below 10 nm. These findings suggest that future optimization of PB NP physicochemical properties may further enhance their inhibitory effects on OSCC.

    Conclusion

    In conclusion, this study demonstrated that PB NPs effectively reprogram TAMs within the OSCC microenvironment from the pro-tumorigenic M2 phenotype to the tumor-suppressive M1 phenotype, leading to significant antitumor effects. We successfully synthesized and characterized biocompatible PB NPs, confirmed their safety profile both in vitro and in vivo, and crucially, established their capacity to induce M1 polarization in TAMs, as evidenced by altered marker expression (increased CD86, decreased CD206) and cytokine secretion profiles (elevated TNF-α/IL-6, reduced TGF-β1). Furthermore, PB NPs disrupted the protumorigenic crosstalk between TAMs and OSCC cells, significantly inhibiting cancer cell proliferation and migration in vitro. These findings were robustly validated in an OSCC xenograft model, where peritumoral PB NP administration markedly suppressed tumor growth promoted by TAM co-inoculation, concurrently inducing a shift in intratumoral macrophage polarization towards M1 and reducing tumor cell proliferation. Collectively, our results establish PB NPs as a potent modulator of the immunosuppressive OSCC TME through targeted TAM reprogramming, offering a novel and promising immunotherapeutic strategy.

    Acknowledgments

    This work was supported by the National Natural Science Foundation of China (62375138/82403466) and the Nanjing Department of Health (YKK22177).

    Disclosure

    The authors report no conflicts of interest in this work.

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    47. Dependence of Quantum Dot Toxicity In Vitro on Their Size, Chemical Composition, and Surface Charge – PubMed. Available from: https://pubmed.ncbi.nlm.nih.gov/36014600/. Accessed June 26, 2025.

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  • One week until the blood moon total lunar eclipse lights up September’s sky.

    One week until the blood moon total lunar eclipse lights up September’s sky.

    Get ready stargazers!

    In just one week, Earth’s shadow will roll across the lunar surface, giving rise to a spectacular ‘blood moon’ total lunar eclipse on Sept. 7-8.

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  • See the original version of ‘Earthrise,’ taken 59 years ago this week — Space photo of the week

    See the original version of ‘Earthrise,’ taken 59 years ago this week — Space photo of the week

    QUICK FACTS

    What it is: The world’s first photo of Earth from the moon

    Where it is: Lunar orbit, about 239,000 miles (385,000 kilometers) from Earth

    When it was shared: Aug. 23, 2025 (originally taken Aug. 23, 1966)

    Humanity’s first look at Earth from the moon didn’t come until Aug. 23, 1966, when this grainy, black-and-white image showed our planet as a crescent above the lunar horizon, appearing to rise as the camera-toting spacecraft moved in orbit.

    At the time, it was a landmark image — and totally unplanned, according to NASA. The first view of Earth from the moon came from NASA’s Lunar Orbiter 1, which transmitted the image to a tracking station at Robledo De Chavela near Madrid.

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  • A new research project is the first comprehensive effort to categorize all the ways AI can go wrong, and many of those behaviors resemble human psychiatric disorders.

    A new research project is the first comprehensive effort to categorize all the ways AI can go wrong, and many of those behaviors resemble human psychiatric disorders.

    Scientists have suggested that when artificial intelligence (AI) goes rogue and starts to act in ways counter to its intended purpose, it exhibits behaviors that resemble psychopathologies in humans. That’s why they have created a new taxonomy of 32 AI dysfunctions so people in a wide variety of fields can understand the risks of building and deploying AI.

    In new research, the scientists set out to categorize the risks of AI in straying from its intended path, drawing analogies with human psychology. The result is “Psychopathia Machinalis” — a framework designed to illuminate the pathologies of AI, as well as how we can counter them. These dysfunctions range from hallucinating answers to a complete misalignment with human values and aims.

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