Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most prevalent chronic liver disease worldwide, affecting approximately 32%-38% of the adult population and posing a growing public health burden. MASLD represents a continuous disease spectrum ranging from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH), progressive hepatic fibrosis, cirrhosis, and ultimately hepatocellular carcinoma (HCC). The pathological core of MASLD lies in disruption of hepatic lipid metabolic homeostasis, characterized by an imbalance among de novo lipogenesis, fatty acid β-oxidation, and very-low-density lipoprotein (VLDL)-mediated lipid export. This metabolic disequilibrium subsequently drives inflammatory injury and fibrotic progression. Among the multiple regulatory pathways involved, thyroid hormone (TH) signaling has emerged as a central regulator of hepatic metabolic homeostasis. The liver is a major peripheral target organ of TH action, where TH predominantly exerts its metabolic effects through thyroid hormone receptor β (TRβ). Large-scale epidemiological studies and meta-analyses have demonstrated that hypothyroidism is significantly associated with increased MASLD prevalence, more severe histological injury, and advanced hepatic fibrosis, suggesting that dysregulation of TH signaling may participate throughout the entire MASLD disease spectrum. At the molecular level, TH regulates hepatic lipid metabolism by coordinating suppression of lipogenesis, enhancement of mitochondrial fatty acid oxidation, and promotion of VLDL assembly and secretion through integrated genomic actions of the T3-TRβ axis and non-genomic signaling pathways. Across different stages of MASLD, TH signaling exerts stage-dependent protective effects. In the steatosis stage, TH improves metabolic flexibility by modulating insulin sensitivity, glucose metabolism, and lipid droplet clearance, thereby alleviating early lipotoxic stress. During progression to MASH, TH attenuates inflammatory amplification by improving mitochondrial homeostasis, suppressing activation of the NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, and modulating the gut-liver axis microenvironment. In advanced stages, TH signaling influences hepatic stellate cell activation and extracellular matrix deposition, partly through interaction with the transforming growth factor-β (TGF-β)/SMAD pathway, while alterations in intrahepatic TH availability, mediated by dynamic changes in iodothyronine deiodinase 1 (DIO1), contribute to fibrosis progression and hepatocellular dedifferentiation. In hepatocellular carcinoma, coordinated downregulation of TRβ and DIO1 establishes a tumor-associated hypothyroid state that promotes metabolic reprogramming and tumor progression. The clinical relevance of TH signaling in MASLD has been underscored by the recent approval of Resmetirom, a liver-targeted TRβ‑selective agonist, for the treatment of non-cirrhotic MASH with moderate-to-severe fibrosis (F2-F3). This approval represents a landmark transition from mechanistic understanding to metabolism-centered precision therapy in MASLD. Clinical trials have demonstrated that Resmetirom not only improves key histological endpoints, including MASH resolution and fibrosis regression, but also favorably modulates atherogenic lipid profiles, highlighting the therapeutic potential of selectively targeting hepatic TH pathways. This review systematically summarizes the multidimensional regulatory roles of TH across the MASLD disease spectrum and discusses emerging diagnostic and therapeutic implications of TH-based interventions, aiming to inform future mechanistic research and optimize clinical management strategies.

Type 1 diabetes mellitus is a chronic autoimmune disease caused by the destruction of pancreatic islet β cells. Pancreatic islet transplantation provides a treatment method for patients with type 1 diabetes mellitus to restore endogenous insulin secretion. However, some problems limit the widespread application of islet transplantation, such as the shortage of donors and post-transplantation rejection damage. Mesenchymal stem cell-derived exosome (MSC-Exo) has become a potential tool for islet transplantation therapy due to their immunomodulatory and tissue repair capabilities. MSC-Exo shows great promise for application, because of low immunogenicity, easily being stored and transported, and the potential as drug delivery vehicles. However, challenges such as preparation, purification, standardization and safety verification need to be overcome before converting MSC-Exo into clinical practice. Therefore, this article reviews the application and potential advantages of MSC-Exo in islet transplantation, aiming to providing more effective and safer treatment options for patients with type 1 diabetes mellitus.

ObjectiveThis paper aims to verify the therapeutic effect of Cranial Painkiller pills' extract powder prepared by the new process on the rat's trigeminal neuralgia model caused by infraorbital injection of Talci Pulvis， evaluate its potential clinical application value， and compare the therapeutic effect with that of Cranial Painkiller granules， so as to provide data support for the application of the Cranial Painkiller pills' extract powder and precise treatment. MethodsThe rat's trigeminal neuralgia model was constructed by infraorbital injection of Talci Pulvis， and the rats were randomly divided into the normal group， model group， carbamazepine group （60 mg·kg^-1）， Cranial Painkiller granules group （2.70 g·kg^-1）， and low， medium， and high dosage groups of Cranial Painkiller pills' extract powder （1.35， 2.70， 5.40 g·kg^-1） according to the basal mechanical pain thresholds， and there were 10 rats in each group. The drug was administered by gavage to each group 2 h after modeling， and distilled water was given by gavage to the normal and model groups under the same conditions once a day for 10 d. Von Frey brushes were used to measure mechanical pain thresholds in rats. Hematoxylin-eosin （HE） staining was used to detect pathological changes in the trigeminal ganglion， and enzyme-linked immunosorbent assay （ELISA） was used to detect the inflammatory factors interleukin-1 （IL-1）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， and tumor necrosis factor-α （TNF-α） levels in rat serum， as well as neuropeptide substance P （SP） and β-endorphin （β-EP） levels in rat brain tissue. Western blot technique was used to detect the levels of NLRP3， ASC， Caspase-1， and OTULIN proteins in rat brain tissue. ResultsCompared with the normal group， the pain threshold of rats in the model group showed a continuous significant decrease （P<0.01）. The pathological damage of brain tissue was significant （P<0.01）， and the inflammatory levels of IL-1， IL-6， IL-8， and TNF-α in serum were significantly elevated （P<0.01）. The level of the SP in the brain tissue was significantly elevated （P<0.01）， and the level of β-EP was significantly reduced （P<0.01）， while the level of OTULIN was significantly reduced， and NLRP3， ASC， and Caspase-1 protein levels were significantly elevated （P<0.01）. After administration of the drug， compared with the model group， the pain threshold of each dose group of the Cranial Painkiller pills' extract powder and the Cranial Painkiller granules group significantly increased （P<0.01）. The inflammatory levels of IL-1， IL-6， IL-8， and TNF-α and SP levels significantly decreased （P<0.01）， and the β-EP levels were significantly elevated （P<0.01）， while the levels of OTULIN protein were significantly elevated （P<0.05， P<0.01）， and the levels of NLRP3， ASC proteins were decreased （P<0.01）in high dose Cranial Painkiller pills' extract powder. Meanwhile， compared with those in the model group， the trigeminal ganglion lesions of rats in the Cranial Painkiller pills' extract powder and Cranial Painkiller granules groups showed different degrees of improvement （P<0.05， P<0.01）. ConclusionThe Cranial Painkiller pills' extract powder has significant therapeutic effects on the rat model of trigeminal neuralgia induced by infraorbital injection of Talci Pulvis， and its mechanism is related to the improvement of OTULIN-regulated neuroinflammation.

ObjectiveThis paper aims to verify the therapeutic effect of Cranial Painkiller pills' extract powder prepared by the new process on the rat's trigeminal neuralgia model caused by infraorbital injection of Talci Pulvis， evaluate its potential clinical application value， and compare the therapeutic effect with that of Cranial Painkiller granules， so as to provide data support for the application of the Cranial Painkiller pills' extract powder and precise treatment. MethodsThe rat's trigeminal neuralgia model was constructed by infraorbital injection of Talci Pulvis， and the rats were randomly divided into the normal group， model group， carbamazepine group （60 mg·kg^-1）， Cranial Painkiller granules group （2.70 g·kg^-1）， and low， medium， and high dosage groups of Cranial Painkiller pills' extract powder （1.35， 2.70， 5.40 g·kg^-1） according to the basal mechanical pain thresholds， and there were 10 rats in each group. The drug was administered by gavage to each group 2 h after modeling， and distilled water was given by gavage to the normal and model groups under the same conditions once a day for 10 d. Von Frey brushes were used to measure mechanical pain thresholds in rats. Hematoxylin-eosin （HE） staining was used to detect pathological changes in the trigeminal ganglion， and enzyme-linked immunosorbent assay （ELISA） was used to detect the inflammatory factors interleukin-1 （IL-1）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， and tumor necrosis factor-α （TNF-α） levels in rat serum， as well as neuropeptide substance P （SP） and β-endorphin （β-EP） levels in rat brain tissue. Western blot technique was used to detect the levels of NLRP3， ASC， Caspase-1， and OTULIN proteins in rat brain tissue. ResultsCompared with the normal group， the pain threshold of rats in the model group showed a continuous significant decrease （P<0.01）. The pathological damage of brain tissue was significant （P<0.01）， and the inflammatory levels of IL-1， IL-6， IL-8， and TNF-α in serum were significantly elevated （P<0.01）. The level of the SP in the brain tissue was significantly elevated （P<0.01）， and the level of β-EP was significantly reduced （P<0.01）， while the level of OTULIN was significantly reduced， and NLRP3， ASC， and Caspase-1 protein levels were significantly elevated （P<0.01）. After administration of the drug， compared with the model group， the pain threshold of each dose group of the Cranial Painkiller pills' extract powder and the Cranial Painkiller granules group significantly increased （P<0.01）. The inflammatory levels of IL-1， IL-6， IL-8， and TNF-α and SP levels significantly decreased （P<0.01）， and the β-EP levels were significantly elevated （P<0.01）， while the levels of OTULIN protein were significantly elevated （P<0.05， P<0.01）， and the levels of NLRP3， ASC proteins were decreased （P<0.01）in high dose Cranial Painkiller pills' extract powder. Meanwhile， compared with those in the model group， the trigeminal ganglion lesions of rats in the Cranial Painkiller pills' extract powder and Cranial Painkiller granules groups showed different degrees of improvement （P<0.05， P<0.01）. ConclusionThe Cranial Painkiller pills' extract powder has significant therapeutic effects on the rat model of trigeminal neuralgia induced by infraorbital injection of Talci Pulvis， and its mechanism is related to the improvement of OTULIN-regulated neuroinflammation.

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.

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