Drug Database
PT

PT-003

✓ Approved

Pediatrix Therapeutics · Unknown · Unknown

What is PT-003?

PT-003 is a unknown developed by Pediatrix Therapeutics. It is approved for therapeutic indications via unknown.

Drug Profile

CompanyPediatrix Therapeutics
Drug ClassUnknown
RouteUnknown
StatusApproved
Sources: ClinicalTrials.gov, Pediatrix Therapeutics

Therapeutic Indications

PT-003 is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Immune system disordersHypersensitivity✓ Approved

Related Research Articles

PubMedAnalytical chemistry2026-11-11

Harnessing Plasmonic Cu2-xSe Transducers for Quantitative Near-Infrared II Photothermal Lateral Flow Exosome Detection.

Liu Bang B, Su Xiaoming X, Chen Haiyan H, Yang Xiaoxin X et al.

Photothermal lateral flow assays (PT-LFAs) hold immense promise for advancing point-of-care (POC) diagnostics into the realm of robust, on-site quantitative analysis. However, their clinical translation remains fundamentally constrained by the absence of high-performance photothermal transducers and insufficient analytical sensitivity. Herein, we develop a near-infrared II (NIR-II) PT-LFA biosensor utilizing a NIR-II PT probe for the sensitive photothermal detection of glioblastoma-derived exosomes in serum. The NIR-II PT probe comprises silica-coated Cu2-xSe core-shell nanoparticles conjugated with anti-EGFR monoclonal antibodies. Numerical simulations and experimental investigations collectively demonstrate the superior NIR-II plasmonic and photothermal properties of the Cu2-xSe component within the probe. Integrating this NIR-II PT probe, the biosensor achieves a limit of detection of 0.62 × 107 particles/mL and a broad dynamic detection range of 0.8-1200 × 107 particles/mL via the NIR-II PT readout, markedly outperforming conventional colorimetric detection. Furthermore, the biosensor exhibits reliable detection accuracy and excellent robustness for exosome analysis in complex serum samples. This study underscores the substantial potential of Cu2-xSe photothermal transducers for the development of highly sensitive LFA-based POC diagnostic platforms.

PMID 43010471
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PubMedFrontiers in digital health2026-11-11

Personalized physiotherapy effect modeling with continuous causal machine learning.

van Remmerden Louk L, Kooijmans Eline E, Yu Shujian S, Joling Karlijn K et al.

Estimating how physiotherapy (PT) intensity influences functional independence is central to personalized care planning for older adults. However, most existing causal inference approaches treat PT as a binary intervention, which requires collapsing a naturally continuous measure of treatment intensity and limits the ability to characterize nuanced dose-response relationships. To address this limitation, we use continuous causal inference to estimate individualized continuous dose-response curves for PT. This approach enables granular assessment of treatment effects across therapy intensities and supports the identification of optimal treatment doses. The model is trained on Canadian Community Care data and externally validated using an independent Canadian Home Care cohort. Across factual, proxy counterfactual, and external validation settings, our approach generally achieved lower prediction error on activities of daily living outcomes, as measured by root mean squared error (RMSE), than standard baselines. In particular, we attained factual and proxy counterfactual RMSEs of 3.79 and 3.89, respectively, compared with 4.09 and 6.49 for linear regression, while also demonstrating strong external generalization. Continuous causal modeling of individualized dose-response relationships provides a principled approach to estimating physiotherapy intensity effects on functional independence, with direct implications for personalized rehabilitation planning in older adults.

PMID 43011093
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PubMedJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2026-11-11

Standardized reference sera: advancing harmonization of equine viral arteritis serologic testing across national reference laboratories in the European Union.

Froger Delphine D, Lecouturier Fanny F, Madeline Anthony A, Beck Cécile C et al.

Equine viral arteritis is a contagious disease affecting equids, caused by equine arteritis virus (EAV). Accurate serologic testing is essential for surveillance, breeding management, and international trade. The virus neutralization test (VNT), prescribed by the World Organisation for Animal Health, remains the gold standard, but variability in quantitative results between laboratories limits harmonization. We aimed to produce and validate standardized EAV-positive reference sera to improve VNT consistency across European Union national reference laboratories, and to assess their impact on interlaboratory proficiency testing (IL-PT). Three sera from a vaccinated pony and one from a naturally infected horse were produced and evaluated for reproducibility, homogeneity, and stability. These sera were first distributed during an IL-PT campaign in 2013 to allow participants to characterize them and define expected titers and acceptance ranges. Once established, the sera were reused in subsequent IL-PT campaigns (2016, 2020, 2024) as positive controls. All reference sera had strong reproducibility, homogeneity, and stability. Their use was associated with an improvement in interlaboratory performance, with results within expected ranges increasing from 51.1% in 2013 to 81.7% in 2024. These standardized sera offer a robust tool for harmonizing EAV VNTs, improving test reliability, and supporting surveillance and trade.

PMID 43012371
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PubMedPhysical chemistry chemical physics : PCCP2026-11-11

Coverages and configurations of CO* and H* on Pt(111) under realistic reaction conditions.

Hossain Sifat S, Punyapu Venkata Rohit VR, Christopher Phillip P, Getman Rachel B RB

Lateral interactions between co-adsorbed species can produce non-random spatial organization that governs the availability of reactive motifs relevant to catalytic behavior. For CO* and H* co-adsorbed on Pt(111), these interactions determine how the two species distribute across the surface and therefore which local CO*-H* configurations are available under reaction conditions. In this work, we combine density functional theory, cluster expansions, and grand canonical Monte Carlo simulations to determine how CO* and H* organize on Pt(111), and subsequently use electronic surface charge as a controlled perturbation to examine how this organization responds to changes in the underlying energetics. On neutral Pt(111), CO*-H* first-nearest-neighbor interactions are strongly repulsive (0.42 eV), CO*-CO* first-nearest-neighbor interactions are moderately repulsive (0.12 eV), and H*-H* interactions are comparatively weak. These interactions cause CO* to nucleate into islands that grow and coalesce with increasing CO* coverage, while H* preferentially occupies regions outside CO*-rich domains. Consequently, the abundance of CO*-H* nearest-neighbor configurations varies non-monotonically with CO* coverage, reaching a maximum at intermediate coverage before decreasing as CO* islands grow and the adsorbates become increasingly segregated. Positive surface charge strengthens CO* adsorption but also increases CO*-CO* repulsion, producing higher CO* coverages, a broader distribution of CO* island sizes, and larger low-coverage regions between islands where H* can adsorb away from CO*. This suppresses CO*-H* nearest-neighbor configurations relative to the neutral surface. Negative charging weakens CO* adsorption, producing lower CO* coverages, higher H* coverages, and less consolidated CO* islands, thereby increasing the prevalence of mixed CO*-H* local environments. At intermediate CO* coverage, CO* islands enter a regime of accelerated growth and coalescence that coincides with a shallow plateau in H* coverage. This coincidence suggests that the onset of CO* island coalescence is accompanied by a reorganization of the co-adsorbed layer. Further, it illustrates the strong influence of lateral interactions on the formation of potentially reactive motifs, highlighting how they become influential in determining catalytic reactivity.

PMID 43012335
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PubMedBMC cancer2026-11-11

Integrating a Ripple Filter into Pencil Beam Scanning Proton Therapy for Breast Cancer: from Dosimetric Feasibility to Acute Toxicity Assessment.

Sun Wei W, Wang Weiwei W, Zhang Qing Q, Zhao Jingfang J et al.

Pencil beam scanning (PBS) proton therapy (PT) offers superior dosimetric advantages for breast cancer treatment. However, synchrotron-based facilities frequently encounter throughput limitations due to slow energy layer switching, particularly problematic for superficial targets requiring numerous energy layers. Although ripple filters (RiFis) can mitigate this constraint by broadening the Bragg peak, their application in breast cancer PT remains unexplored. This study comprehensively investigates the feasibility, efficiency gains, linear energy transfer (LET) characteristics, and clinical safety of integrating a RiFi into PBS PT for breast cancer. We conducted a two-phase investigation beginning with a dosimetric planning study and proceeding to clinical validation. In phase Ⅰ, we generated paired treatment plans (RiFi vs. non-RiFi) for 21 patients (11 breast-conserving surgery [BCS] and 10 modified radical mastectomy [MRM]) to compare target coverage, organ-at-risk (OAR) sparing, dose-averaged LET (LETd) distributions, and number of energy layers. In phase Ⅱ, we conducted a retrospective analysis of 99 BCS patients treated between January and December 2025, employing 1:1 multivariate matching to control for treatment volume and prescription dose, resulting in 37 well-balanced pairs. Dose-volume and LETd parameters, Acute toxicities and treatment delivery time were compared between matched groups. In phase Ⅰ dosimetric study, RiFi plans maintained robust target coverage (V95). However, the broadened beam introduced slight but statistically significant increments in doses to OARs. For BCS patients, the mean ipsilateral lung dose and mean heart dose increased by 0.13 Gy(RBE) (95% confidence interval [CI]: 0.08-0.28 Gy(RBE), p < .001) and 0.04 Gy(RBE) (95% CI: 0.02-0.06 Gy(RBE), p = .006), respectively. For MRM patients, the mean ipsilateral lung dose and mean heart dose increased by 0.79 Gy(RBE) (95% CI: 0.46-1.10 Gy(RBE), p = .002) and 0.08 Gy(RBE) (95% CI: 0.04-0.19 Gy(RBE), p = .009), respectively. Conversely, the RiFi significantly decreased LETd by 0.15-0.65 keV/µm to skin and distal OARs. Phase Ⅱ clinical validation demonstrated similar LETd reduction and no significant differences in the incidence or severity of acute radiation-induced dermatitis or esophagitis between groups. RiFi integration significantly enhanced treatment efficiency, reducing actual beam delivery time by approximately 20%. Integrating a RiFi into breast cancer PBS PT effectively improves delivery efficiency and mitigates distal high-LETd exposure, albeit at the cost of slight increments in low-dose exposure to distal OARs. Clinical data confirm this dosimetric change does not compromise acute safety for BCS patients. These findings suggest that the RiFi is a feasible option for improving treatment delivery efficiency in synchrotron-based PT systems.

PMID 43009815
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PubMedAnalytical chemistry2026-11-11

Surface Interrogation with Hybrid Scanning Electrochemical Probe Microscopy for Quantitative Imaging of Adsorbed Hydrogen.

Wang Pengfei P, Zhou Min M, Jin Zhaoyu Z

Surface-interrogation scanning electrochemical microscopy (SI-SECM) can quantify adsorbed electrocatalytic intermediates by transient redox titration, but conventional implementations require a probe/substrate size match and are therefore largely restricted to point interrogation. Here, we develop surface-interrogation SECM implemented in an SECCM-confined local cell (SCSI-SECM) within an integrated SECCM-SECM architecture. In this method, a localized SECCM meniscus defines the wetted substrate area, while an integrated carbon electrode performs mediator-based surface-interrogation readout. Using adsorbed hydrogen (Hads) on polycrystalline Pt as a model intermediate, we validate the approach by finite-element simulation, feedback-mode characterization, and single-point SCSI-SECM measurements. Correlative SCSI-SECM and electron backscatter diffraction (EBSD) imaging further resolves crystallographic variations in local Hads charge density on polycrystalline Pt. This strategy preserves the quantitative strength of SI-SECM while adding microscale spatial resolution, providing a route for mapping surface intermediates at heterogeneous electrocatalytic interfaces.

PMID 43010482
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