Biology subjects

Anastasiadis, P.

Publications and source records attributed to Anastasiadis, P..

3 recordsLinked to original sources

bioRxiv2026

Blood-brain barrier-traversing multivalent TGFβ trap for anti-cancer immunomodulation of gliomas

Clinical studies have revealed that glioblastoma (GBM) is refractory to immunotherapy, such as immune checkpoint inhibitors (ICIs), due to the immunosuppressive tumor microenvironment (TME) primarily intensified by intratumoral upregulation of transforming growth factor-{beta} (TGF{beta}). Primary GBM tumor bulks are surgically removed in clinic, but invasive tumor cells infiltrated into surrounding normal brain tissue cannot be eradicated by systemic therapy due to the integral blood-brain barrier (BBB), leading to near-inevitable tumor recurrence. To address these translational challenges, we have engineered a TGF{beta}-inhibiting protein nanocage comprising human heavy-chain ferritin protein and TGF{beta} receptor II ectodomain that enables BBB penetration and multivalent TGF{beta} entrapment, respectively. We demonstrate that the nanocage platform, denoted T{beta}R2-HFt, following systemic administration, traverses the BBB, and extensively modulates immunosuppressive TME, both stromal and immune components, thereby potentiating the therapeutic efficacy of a clinically used ICI in multiple mouse glioma models. Notably, a majority of the glioma-bearing animals that received surgical tumor resection, followed by treatment with T{beta}R2-HFt and the ICI, survived the tumor and resisted tumor rechallenge, providing a potential means to control GBM in a durable manner.

bioengineering↗

bioRxiv2026

Neurobehavioral effects of focused ultrasound-mediated blood-brain barrier opening

Microbubble-enhanced focused ultrasound (MB-FUS) enables noninvasive blood-brain barrier (BBB) opening to improve the delivery of drugs and other therapeutics to the brain, supporting more effective treatment of brain disorders. The benefits of this rapidly advancing and highly versatile technology have been demonstrated in clinical trials, sparking a growing interest in expanding FUS applications that require higher intensity treatments, larger targeted brain volumes and larger therapeutics. However, in-depth safety profiling of such treatments has not been done and is limited in the clinic. Preclinical studies have been restricted in their readouts, focusing on acute imaging and simple behaviors. To address the need for more holistic safety profiling, we present a novel preclinical workflow for determining adverse effects of MB-FUS in rats, both acutely and long-term, by combining MRI, histology, and a custom motor task which provides fine-scaled readouts for complex learned behavior. Using this approach and taking advantage of our previous delineation of the relevant circuitry, we show dose- and target-dependent adverse effects in high dosing regimens. All prescribed acoustic doses opened the BBB; but while low doses had no overt adverse effects, high doses targeting the involved circuitry had severe effects on both behavior and brain tissue integrity. These effects persisted for weeks and recovered over differing time courses, with tissue disruptions and behavioral changes outlasting general performance deficits. Our results reinforce the need for multimodal, highly sensitive, and longitudinal readouts to holistically characterize adverse effects of MB-FUS, allowing for its safe use across a wide range of applications. SignificanceMicrobubble-enhanced focused ultrasound is emerging as a powerful noninvasive approach for delivering drugs, genes, and cell therapies through the blood-brain barrier, sparking broad interest in expanding clinical and preclinical applications. However, its effects on complex neurological function, especially for higher dosing regimens, remain poorly defined. To address this, we have established a novel multimodal preclinical strategy for defining functional safety limits and guiding clinical translation, integrating sensitive behavioral testing with MRI, histology and acoustic emissions analysis. We show dose- and target-dependent impairments in complex learned motor behavior and evidence of possible brain injury, with substantially different recovery time courses. Together, our findings demonstrate the importance of a multimodal, longitudinal approach for comprehensively characterizing treatment-related adverse effects and evaluating safety.

neuroscience↗

bioRxiv2025

Data-driven feedback augments ultrasound nanotheranostics in brain tumors

The blood-brain barrier (BBB) renders the delivery of nanomedicine in the brain ineffective and the detection of circulating disease-related DNA from the brain unreliable. Here, we show that the acoustic emission content of focused ultrasound-controlled microbubble dynamics (MB-FUS) incorporates precursor signals that allow large-data models to predict sonication regimens for safe and effective BBB opening. Crucially, closed-loop MB-FUS controller augmented by machine learning (ML-CL) expands the treatment window (4-fold), as compared to conventional controllers, by persistently and proactively maximizing the BBB permeability while preventing tissue damage. By successfully scaling up from mice to rats and from healthy to diseased brains (glioma), ML-CL rendered the BBB permeable to large nanoparticles and markedly improved the release and detection of tumor DNA in plasma. Together, our findings reveal the potential of data-driven feedback to support the development of next-generation AI-powered ultrasound systems for safe, robust, and efficient nanotheranostic targeting of brain diseases.

bioengineering↗