Purpose: To report a case of angle-closure glaucoma caused by pupillary block in a patient with familial exudative vitreoretinopathy (FEVR).Case summary: A 20-year-old man with FEVR presented with sudden-onset pain in his left eye. The best-corrected visual acuity (BCVA) was 0.04, and the intraocular pressure (IOP) was 76 mmHg. The central anterior chamber depth was reduced to twice the corneal thickness. Gonioscopy revealed 360° angle closure. Anterior segment optical coherence tomography and ultrasound biomicroscopy demonstrated a closed angle and anteriorly convex peripheral iris due to forward displacement of the lens–iris diaphragm and contact between the iris and lens. Trabeculectomy and cataract surgery were performed because the IOP was not controlled despite maximal medical therapy. At 9 months postoperatively, the IOP was 13 mmHg without the use of glaucoma medications, and the BCVA was 0.1. Conclusions In patients with FEVR, angle-closure glaucoma due to pupillary block can occur even at a young age. FEVR should be considered in young patients with acute angle-closure glaucoma.

Purpose: To report a case of angle-closure glaucoma caused by pupillary block in a patient with familial exudative vitreoretinopathy (FEVR).Case summary: A 20-year-old man with FEVR presented with sudden-onset pain in his left eye. The best-corrected visual acuity (BCVA) was 0.04, and the intraocular pressure (IOP) was 76 mmHg. The central anterior chamber depth was reduced to twice the corneal thickness. Gonioscopy revealed 360° angle closure. Anterior segment optical coherence tomography and ultrasound biomicroscopy demonstrated a closed angle and anteriorly convex peripheral iris due to forward displacement of the lens–iris diaphragm and contact between the iris and lens. Trabeculectomy and cataract surgery were performed because the IOP was not controlled despite maximal medical therapy. At 9 months postoperatively, the IOP was 13 mmHg without the use of glaucoma medications, and the BCVA was 0.1. Conclusions In patients with FEVR, angle-closure glaucoma due to pupillary block can occur even at a young age. FEVR should be considered in young patients with acute angle-closure glaucoma.

Purpose: To report a case of angle-closure glaucoma caused by pupillary block in a patient with familial exudative vitreoretinopathy (FEVR).Case summary: A 20-year-old man with FEVR presented with sudden-onset pain in his left eye. The best-corrected visual acuity (BCVA) was 0.04, and the intraocular pressure (IOP) was 76 mmHg. The central anterior chamber depth was reduced to twice the corneal thickness. Gonioscopy revealed 360° angle closure. Anterior segment optical coherence tomography and ultrasound biomicroscopy demonstrated a closed angle and anteriorly convex peripheral iris due to forward displacement of the lens–iris diaphragm and contact between the iris and lens. Trabeculectomy and cataract surgery were performed because the IOP was not controlled despite maximal medical therapy. At 9 months postoperatively, the IOP was 13 mmHg without the use of glaucoma medications, and the BCVA was 0.1. Conclusions In patients with FEVR, angle-closure glaucoma due to pupillary block can occur even at a young age. FEVR should be considered in young patients with acute angle-closure glaucoma.

In light of the burgeoning successes of cancer immunotherapy, glioblastoma (GBM) remains refractory due to an immunosuppressive microenvironment originating from its molecular heterogeneity. Thus, identifying promising therapeutic targets for treating GBM and discovering methodologies to effectively regulate them is still a tremendous challenge. Here we describe photodynamic protein tyrosine phosphatase 1B (PTP1B) proteolysis mediated by a proteolysis-targeting chimera (PROTAC) nanoassembly. The PTP1B-targeting PROTAC is conjugated with a photosensitizer via a cathepsin B (Cat B)-cleavable peptide, which spontaneously forms nanoassemblies due to intermolecular π-π stacking interactions. In GBM models, PROTAC nanoassemblies significantly accumulate in the tumor region across the disrupted blood-brain barrier (BBB), triggering a burst release of the photosensitizer and active PROTAC by Cat B-mediated enzymatic cleavage. Upon laser irradiation, photodynamic therapy (PDT) synergizes with PROTAC-mediated PTP1B proteolysis to induce potent immunogenic cell death (ICD) in tumor cells. Subsequently, persistent PTP1B degradation by nanoassemblies in Cat B-overexpressed intratumoral T cells downregulates exhaustion markers, reinvigorating their functionality. These sequential processes of photodynamic PTP1B proteolysis ultimately augment T cell-mediated antitumor immunity as well as protective immunity, completely eradicating the primary GBM and preventing its recurrence. Overall, our findings underscore the therapeutic potential of combining PDT with PROTAC activity for GBM immunotherapy.

A 7-year-old castrated male Persian cat presented with a cutaneous mass and an increase in serum amyloid A concentration. Fine needle aspirates of the mass indicated lymphoma, which was also the top differential diagnosis on histopathologic examinations. Immunohistochemically, neoplastic cells tested negative for anti-CD3, PAX5, CD20, and c-Kit, but positive for MUM1, CD79α, and CD138, suggesting extramedullary plasmacytoma. There were tumor-infiltrating non-neoplastic CD3+ T and CD20+ B cells. Practitioners should be aware of feline plasmacytoma characterized by lymphoma-like cytologic and histologic features. The present study is valuable in providing the first clinical evidence that proves the immunogenicity of feline plasmacytoma.

A 7-year-old castrated male Persian cat presented with a cutaneous mass and an increase in serum amyloid A concentration. Fine needle aspirates of the mass indicated lymphoma, which was also the top differential diagnosis on histopathologic examinations. Immunohistochemically, neoplastic cells tested negative for anti-CD3, PAX5, CD20, and c-Kit, but positive for MUM1, CD79α, and CD138, suggesting extramedullary plasmacytoma. There were tumor-infiltrating non-neoplastic CD3+ T and CD20+ B cells. Practitioners should be aware of feline plasmacytoma characterized by lymphoma-like cytologic and histologic features. The present study is valuable in providing the first clinical evidence that proves the immunogenicity of feline plasmacytoma.

A 7-year-old castrated male Persian cat presented with a cutaneous mass and an increase in serum amyloid A concentration. Fine needle aspirates of the mass indicated lymphoma, which was also the top differential diagnosis on histopathologic examinations. Immunohistochemically, neoplastic cells tested negative for anti-CD3, PAX5, CD20, and c-Kit, but positive for MUM1, CD79α, and CD138, suggesting extramedullary plasmacytoma. There were tumor-infiltrating non-neoplastic CD3+ T and CD20+ B cells. Practitioners should be aware of feline plasmacytoma characterized by lymphoma-like cytologic and histologic features. The present study is valuable in providing the first clinical evidence that proves the immunogenicity of feline plasmacytoma.

A 7-year-old castrated male Persian cat presented with a cutaneous mass and an increase in serum amyloid A concentration. Fine needle aspirates of the mass indicated lymphoma, which was also the top differential diagnosis on histopathologic examinations. Immunohistochemically, neoplastic cells tested negative for anti-CD3, PAX5, CD20, and c-Kit, but positive for MUM1, CD79α, and CD138, suggesting extramedullary plasmacytoma. There were tumor-infiltrating non-neoplastic CD3+ T and CD20+ B cells. Practitioners should be aware of feline plasmacytoma characterized by lymphoma-like cytologic and histologic features. The present study is valuable in providing the first clinical evidence that proves the immunogenicity of feline plasmacytoma.

A 7-year-old castrated male Persian cat presented with a cutaneous mass and an increase in serum amyloid A concentration. Fine needle aspirates of the mass indicated lymphoma, which was also the top differential diagnosis on histopathologic examinations. Immunohistochemically, neoplastic cells tested negative for anti-CD3, PAX5, CD20, and c-Kit, but positive for MUM1, CD79α, and CD138, suggesting extramedullary plasmacytoma. There were tumor-infiltrating non-neoplastic CD3+ T and CD20+ B cells. Practitioners should be aware of feline plasmacytoma characterized by lymphoma-like cytologic and histologic features. The present study is valuable in providing the first clinical evidence that proves the immunogenicity of feline plasmacytoma.

Background: The acquisition of single-lead electrocardiogram (ECG) from mobile devices offers a more practical approach to arrhythmia detection. Using artificial intelligence for atrial fibrillation (AF) identification enhances screening efficiency. However, the potential of singlelead ECG for AF identification during normal sinus rhythm (NSR) remains under-explored.This study introduces a method to identify AF using single-lead mobile ECG during NSR. Methods: We employed three deep learning models: recurrent neural network (RNN), long short-term memory (LSTM), and residual neural networks (ResNet50). From a dataset comprising 13,509 ECGs from 6,719 patients, 10,287 NSR ECGs from 5,170 patients were selected. Single-lead mobile ECGs underwent noise filtering and segmentation into 10-second intervals. A random under-sampling was applied to reduce bias from data imbalance. The final analysis involved 31,767 ECG segments, including 15,157 labeled as masked AF and 16,610 as Healthy. Results: ResNet50 outperformed the other models, achieving a recall of 79.3%, precision of 65.8%, F1-score of 71.9%, accuracy of 70.5%, and an area under the receiver operating characteristic curve (AUC) of 0.79 in identifying AF from NSR ECGs. Comparative performance scores for RNN and LSTM were 0.75 and 0.74, respectively. In an external validation set, ResNet50 attained an F1-score of 64.1%, recall of 68.9%, precision of 60.0%, accuracy of 63.4%, and AUC of 0.68. Conclusion The deep learning model using single-lead mobile ECG during NSR effectively identified AF at risk in future. However, further research is needed to enhance the performance of deep learning models for clinical application.