Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the selective loss of dopaminergic neurons in the substantia nigra pars compacta and the pathological accumulation ofα‑synuclein. Although extensive progress has been made in elucidating its pathogenesis, current therapeutic approaches remain largely symptomatic, and effective disease-modifying treatments are still unavailable. Increasing evidence indicates that PD is driven by the interaction of multiple pathological processes, including neuroinflammation, iron homeostasis dysregulation and ferroptosis, endoplasmic reticulum (ER) stress, mitochondrial dysfunction, oxidative stress, and impaired protein homeostasis, which together contribute to neuronal vulnerability and degeneration. Fibroblast growth factors (FGFs) comprise a family of 22 ligands that play important roles in neural development, stress responses, metabolic regulation, and the maintenance of nervous system homeostasis. Recent studies have shown that several FGF family members, such as FGF1, FGF2, FGF9, and FGF21, exert neuroprotective effects in cellular and animal models of PD. These effects include the regulation of inflammatory responses, oxidative stress, iron homeostasis, cellular stress adaptation, and neuronal survival. Compared with therapeutic strategies targeting a single pathogenic pathway, FGFs appear to influence multiple disease-related processes, suggesting their potential relevance to the complex pathophysiology of PD. Experimental evidence indicates that altered FGF signaling may contribute to dopaminergic neuron dysfunction through the coordinated regulation of several interconnected mechanisms. FGFs have been reported to modulate neuroinflammation by affecting the activation of microglia and astrocytes, thereby influencing the inflammatory environment in the central nervous system. In addition, FGFs are involved in the regulation of iron homeostasis and ferroptosis, partly through antioxidant signaling pathways associated with NRF2, SLC7A11, and GPX4. Moreover, FGFs can alleviate ER stress and mitochondrial dysfunction by activating intracellular signaling pathways such as PI3K/AKT, AMPK-PGC-1α, as well as SIRT1-dependent programs, which support cellular energy metabolism and redox balance. Recent advances in single-cell and spatial transcriptomic studies further suggest that FGF signaling is not limited to neuron-intrinsic mechanisms but also involves interactions among different glial cell types. Altered FGF ligand-receptor communication between astrocytes and oligodendrocytes has been observed in PD models and is associated with increased susceptibility of dopaminergic neurons to oxidative stress and ferroptosis. These findings indicate that the biological effects of FGFs are influenced by cell type and disease stage and may vary under different pathological conditions. In this review, we summarize recent progress in understanding the roles of FGF family members in PD, with a focus on their involvement in iron homeostasis dysregulation and ferroptosis, neuroinflammation, cellular stress responses, and neuronal protection and regeneration. By integrating current evidence, this review aims to provide a clearer understanding of how FGFs participate in PD pathogenesis and to offer a theoretical basis for future studies exploring their potential value in disease-modifying therapeutic strategies.

Introduction: The 2021 IDF-DAR risk calculator had been previously evaluated in multiple studies and subsequently widely accepted and applied in clinical practice as a practical standardized tool for patient risk stratification. Recently updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating modern diabetes technologies, including continuous glucose monitoring (CGM), automated insulin delivery (AID) systems, and advanced insulin formulations to enhance risk stratification. This tool allows medical professionals to tailor Ramadan practices based on overall factors toward promoting safe fasting. Methodology: This prospective multicentre observational study recruited adults with Type 1 and Type 2 diabetes attending public hospitals nationwide. People with diabetes (PwD) intending to perform Ramadan fasting were invited to participate and assessed using the 2026 IDF-DAR Risk Calculator in the 6-week pre-Ramadan period between 30th January and 19th March 2026. Results: A total of 458 PwD were evaluated and stratified into low (15.7%), moderate (41%), and high risk (43.3%) categories. Most participants had Type 2 diabetes (83.6%), with 60.3% having a disease duration exceeding 10 years and 43% exhibiting poor glycemic control (hemoglobin A1c >9%). Insulin therapy was used by 76.4% of participants, including two individuals with Type 1 diabetes using AID systems. Most participants reported no recent hypoglycemia (76.4%), 81.0% performed glucose monitoring, and 3.3% used CGM. Severe comorbidities were uncommon, with 1.1% having unstable macrovascular disease and 4.4% advanced chronic kidney disease (estimated glomerular filtration rate <30). Notably, 72.2% received structured Ramadan education. Conclusion Majority of PwD attending tertiary diabetes clinics were in the moderate- to high-risk category and intended to fast despite medical advice against fasting in some cases. Although most participants were on insulin therapy, hypoglycemia was low in the pre-Ramadan period. Integration of modern technologies, advanced insulin therapies, and structured education may support safer fasting practices.
Risk Assessment ; Diabetes Mellitus ; Hospitals ; Fasting

Aim To investigate the effect of Rtv(a P-gp inhibitor and inducer)on the pharmacokinetics of Y101(P-gp substrate)via P-gp.Methods In short-term studies,rats received a single dose of Rtv,where-as in long-term studies they received continuous dosing for seven days.Following this treatment,Y101 was o-rally administered to analyze its blood concentration in rats.Subsequently,the mechanism by which Rtv af-fected Y101 pharmacokinetics was investigated through the everted gut sac model(in vitro),cellular uptake studies,and so on.Results Short-term administra-tion of Rtv significantly increased Y101's AUC,liver-to-plasma partition coefficient,the everted gut sac model(in vitro),and cellular accumulation.Although long-term Rtv treatment had no effect on Y101 pharma-cokinetics or hepatic distribution,it markedly reduced Y101 cellular accumulation in Caco-2 cells,concomi-tant with an upregulation of P-gp expression.Conclu-sions Short-term Rtv administration acts as a compet-itive P-gp inhibitor,enhancing Y101 intestinal absorp-tion and hepatic distribution.In contrast,the plasma pharmacokinetics and hepatic distribution of Y101 are not altered after long-term administration of Rtv,po-tentially attributable to Rtv's dual modulatory effects on P-gp involving both induction and inhibition.Hence,the potential Rtv and Y101 interaction should be close-ly monitored in the clinic.

Plant-derived exosome-like nanovesicles refer to spherical lipid bilayer vesicles isolated from plants that contain lipids,proteins,RNAs,and various small molecules.These nanovesicles exhibit di-verse biological activities,including anti-inflammatory,anti-tumor,antioxidant,and drug delivery prop-erties.However,the functional characteristics of nanovesicles derived from rhizoma polygonati remain un-explored.In this study,exosome-like nanovesicles derived from rhizoma polygonati(referred to as RP-EVs)were successfully isolated using ultracentrifugation and density gradient centrifugation.Their physi-cochemical properties and anti-inflammatory functions were systematically characterized.Our results show that RP-EVs are predominantly negatively charged,with an average particle size of 166.5±3.3 nm,and are spherical lipid vesicles.Cellular uptake assays demonstrated that RP-EVs can be phagocytized by macrophages.qPCR and ELISA experiments revealed that RP-EVs can inhibit the elevation of interleukin 6(IL-6),interleukin 1 β(IL-1 β),and tumor necrosis factor-alpha(TNF-α)induced by lipopolysac-charide(LPS)stimulation(****P＜0.0001).Additionally,reactive oxygen species(ROS)and 2,2-diphenyl-1-picrylhydrazyl(DPPH)scavenging assays confirmed that RP-EVs exhibit antioxidant proper-ties(*P＜0.05).Further investigation of the underlying mechanisms through immunofluorescence and Western blotting revealed that RP-EVs inhibit the nuclear translocation(**P＜0.01)and phosphoryla-tion(***P＜0.001)of nuclear factor kappa-B p65(NF-κB p65)via the IκBα/NF-κB signaling path-way,thereby regulating the expression of inflammatory mediators.In animal experiments,intraperitoneal injection of RP-EVs into mice for 48 hours showed predominant localization in the liver and spleen.Fi-nally,an acute inflammatory mouse model was established via intraperitoneal injection of LPS.qPCR and ELISA analyses demonstrated that RP-EVs alleviated the expression of inflammatory factors in both the serum and spleen of LPS-treated mice(*P＜0.05).In conclusion,this study isolated RP-EVs and elu-cidated their anti-inflammatory properties and potential mechanisms.These findings provide valuable in-sights into the functional exploration of nanoparticle vesicles derived from traditional Chinese medicine and suggest a novel therapeutic strategy for the treatment of inflammation-related diseases.

Aim To investigate the effect of Rtv(a P-gp inhibitor and inducer)on the pharmacokinetics of Y101(P-gp substrate)via P-gp.Methods In short-term studies,rats received a single dose of Rtv,where-as in long-term studies they received continuous dosing for seven days.Following this treatment,Y101 was o-rally administered to analyze its blood concentration in rats.Subsequently,the mechanism by which Rtv af-fected Y101 pharmacokinetics was investigated through the everted gut sac model(in vitro),cellular uptake studies,and so on.Results Short-term administra-tion of Rtv significantly increased Y101's AUC,liver-to-plasma partition coefficient,the everted gut sac model(in vitro),and cellular accumulation.Although long-term Rtv treatment had no effect on Y101 pharma-cokinetics or hepatic distribution,it markedly reduced Y101 cellular accumulation in Caco-2 cells,concomi-tant with an upregulation of P-gp expression.Conclu-sions Short-term Rtv administration acts as a compet-itive P-gp inhibitor,enhancing Y101 intestinal absorp-tion and hepatic distribution.In contrast,the plasma pharmacokinetics and hepatic distribution of Y101 are not altered after long-term administration of Rtv,po-tentially attributable to Rtv's dual modulatory effects on P-gp involving both induction and inhibition.Hence,the potential Rtv and Y101 interaction should be close-ly monitored in the clinic.

Objective:To analyze the clinical and ultrasonographic characteristics of papillary thyroid carcinoma(PTC)and explore their correlation with cervical lymph node metastasis(CLNM),thereby constructing a nomogram pre-diction model for assessing the risk of CLNM in PTC.Methods:A total of 553 patients(corresponding to 553 nod-ules)with papillary thyroid carcinoma(PTC),confirmed by postoperative pathology,who underwent ultrasonography and had complete clinical data at the Second Hospital of Shandong University between December 2019 and December 2022,were included.228 patients(228 nodules)hadcervical lymph node metastasis,and 325 patients(325 nodules)were without cervical lymph node metastasis.All patients were categorized into metastasis and non-metastasis groups based on the presence or absence of cervical lymph node metastasis.These groups were then randomly di-vided into training and validation sets in a 7:3 ratio.Differences in clinical and ultrasonographic characteristics between the two groups were compared,and a nomogram was constructed.Results:Univariate analysis revealed statistically significant differences between the metastasis group and the non-metastasis group in terms of age,presence of Hashimoto's thyroiditis,multifocality,taller-than-wide shape,calcification,capsular contact,and blood flow(P<0.05).Logistic regression analysis in the training set indicated that age,presence of Hashimoto's thyroiditis,multifocality,taller-than-wide shape,calcification,and blood flow were associated with lymph node metastasis in papillary thyroid carcinoma(PTC)(P<0.05).These indicators were incorporated into a nomogram model,which demonstrated high predictive performance,good calibration,and significant clinical utility in both the training and validation sets.Conclu-sion:The nomogram prediction model,constructed based on clinical and ultrasonographic features,effectively predicts the risk of cervical lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC).Patients who were older,had concomitant Hashimoto's thyroiditis,or exhibited a nodule aspect ratio≥1 were less likely to have concurrent CLNM.Conversely,patients presenting with multiple nodules,nodules with microcalcifications,or nodules demonstrating central or rich/peripheral vascularity were more likely to have concurrent CLNM.

objective:To investigate the factors influencing failure of preoperative optimisation with exclusive enteral nutrition(EEN)in patients with Crohn's disease(CD)and to construct a predictive model.Methods:Clinical data of 161 patients with Crohn's disease who underwent surgical treatment after preoperative EEN optimization at the Inflammatory Bowel Disease Center of General Surgery of the Eastern Theater General Hospital from June 2021 to November 2023 were retrospectively analyzed.Patients were divided into two groups according to the preoperative EEN optimisation effect:optimisation success and optimisation failure.Logistic regression analysis was used to determine the factors influencing optimisation failure,and a column line graphical model was constructed using R4.4.0 software.Results:After at least 4 weeks of EEN treatment,a total of 44 patients(27.33%)failed preoperative optimization.Multifactorial analysis showed that FC>500 μg/g and use of corticosteroids were independent risk factors for failure of preoperative optimization,and an increase in prealbumin after 1 week of treatment was a protective factor for successful preoperative optimization.Based on the results of the multivariate analysis,a column graph was constructed,and the C-index was 0.873(95%CI=0.783～0.964).The calibration curve shows that the probability of failure predicted by the nomogram model prior to optimization is in good agreement with the actual probability.The clinical decision curve confirms that the risk threshold is between 0.03～0.96,and the nomogram model can be used to predict the failure of preoperative EEN optimization over other treatment options.Conclusion:FC>500μg/g and history of corticosteroid use were independent risk factors for failure of preoperative optimization,and an increase in prealbumin after 1 week of treatment was a protective factor for successful preoperative optimization.The nomogram constructed on the basis of these results has a good predictive value and is clinically applicable.