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 study the difference in hepatotox-icity of psoralen on normal rats and Yin-deficiency rats from the perspective of lipid metabolism,so as to help explain the mechanism of psoralen cautiously used in patients with Yin deficiency recorded in ancient books.Methods SD rats were randomly divided into the nor-mal control group(carboxymethyl cellulose-Na,CMC-Na),normal administration group(CMC-Na+psor-alen),Yin-deficiency control group(CMC-Na+thy-roxine)and Yin-deficiency administration group(CMC-Na+thyroxine+psoralen).The model of Yin-deficiency was established by thyroxine(1 mg·kg-1)for ten days,and then psoralen(200 mg·kg-1)was given for three days.The serum indexes related to liver injury were detected by automatic biochemical analy-zer,the morphological changes of liver tissue were ob-served using HE and oil red O staining,and the relative transcription levels of lipid metabolism related enzymes and mRNA of transporter and endoplasmic reticulum stress related factors were detected using Real-time PCR.Results After intragastric administration of psoralen for three days,compared with the normal group,the levels of serum alanine aminotransferase(ALT),aspartate transaminase(AST),total bile acid(TBA)and triglyeride(TG)in Yin deficiency group increased more significantly,while TC,ALB and TP de-creased more significantly,and liver HE and oil red O staining showed more obvious lipid degeneration.TG synthesis factors adrenocortical carcinoma(ACC),fatty acid synthase(FASN)and sterolregulatory element binding protein-1(SREBP-1)were down-regulated more significantly,TG transport factors mili-total pro-tein(MTP)and lipoprotein pipase(LPL)were down-regulated more evidently,fatty acid β-oxidation related factors carnitine palmitoyltransferase 1A(CPT1A),carnitine/organic cation transporter 2(OCTN2)and peroxisome proliferators-activated receptors-alpha(PPARα)were down-regulated more apparently,TC transporter adenosine triphosphate binding cassette transporter G8(ABCG8)and bile acid receptor farne-soid X receptor(FXR)were down-regulated more ob-viously,and endoplasmic reticulum stress factor activa-ting transcription factor 4(ATF4)was up-regulated more significantly.Conclusions Psoralen can cause more severe hepatotoxicity in Yin deficiency rats than that in normal administration group,and its mechanism may be related to the disorder of hepatic lipid metabo-lism,aggravation of hepatic cholestasis and steatosis,and activation of endoplasmic reticulum stress re-sponse.

Objective:To investigate the incidence of postoperative infection and its risk factors in patients with oral squamous cell carcinoma (OSCC), so that to provide a clinical basis for the prevention and management of postoperative infection in these patients.Methods:Ninety-seven patients pathologically diagnosed with OSCC who underwent surgical treatment in the Department of Oral and Craniomaxillofacial Oncology, Shanghai Ninth People′s Hospital, Shanghai Jiaotong University School of Medicine between December 2020 and March 2022 were included. This study was a clinical retrospective cohort study. The clinical characteristics and preoperative laboratory indicators of the included patients were collected. Based on the presence or absence of infection, the patients were divided into infection group and non-infection group. Chi-square test and independent samples t test were used for statistical methods. Binary logistic regression analysis was used to identify influencing factors for postoperative infection, and interaction terms were introduced to assess effect modification between variables. Results:Among the 97 patients, 46(47.42%) developed postoperative infections, of which 44(95.65%) were pulmonary infections. The proportion of hypertension in the infection group was 43.48%(20/46), which was higher than 23.53%(12/51) in the non-infection group, and the difference was statistically significant ( χ2=4.35, P=0.037). The preoperative glycosylated hemoglobin level in the infection group was 6.26%±0.85%, which was higher than that in the non-infection group (5.77%±0.57%), and the difference was statistically significant ( t=-2.81, P=0.007). Binary logistic regression analysis showed that male (odds ratio ( OR)=0.598, 95% confidence interval ( CI) 0.519 to 0.689, P<0.001), absence of diabetes ( OR=0.416, 95% CI 0.340 to 0.509, P<0.001), and absence of hypertension ( OR=0.647, 95% CI 0.569 to 0.735, P<0.001) were protective factors against postoperative infection. Age>60 years ( OR=1.159, 95% CI 1.031 to 1.304, P=0.014) and alcohol consumption ( OR=1.262, 95% CI 1.024 to 1.555, P=0.029) were risk factors for postoperative infection. Effect modification analysis found that males without diabetes ( OR=0.027, 95% CI 0.001 to 0.687, P=0.029) and the absence of both diabetes and hypertension ( OR=0.378, 95% CI 0.163 to 0.880, P=0.024) were also protective factors against postoperative infection. Conclusions:Risk factors for postoperative infection in OSCC include elder age, alcohol consumption, hypertension, and poor preoperative glycemic control. Therefore, clinical practice should enhance preoperative assessment, promote lifestyle modifications, optimize perioperative blood pressure management, implement glycemic control, and provide perioperative alcohol cessation interventions to reduce the risk of postoperative infection.

Purpose To explore the characteristics of gray matter(GM)volume changes in migraine patients using 7T MRI and voxel-based morphometry(VBM).Materials and Methods This prospective study enrolled 30 migraine patients and 41 age-and gender-matched healthy controls from Beijing Tiantan Hospital,Capital Medical University between November 2023 and November 2024.All participants underwent 7T MRI with 3D T1-weighted magnetization-prepared two rapid gradient-echo(MP2RAGE)sequences for structural brain imaging.VBM analysis was performed to quantify GM,white matter,cerebrospinal fluid and total brain volumes,followed by calculations of their relative percentages.The difference in GM volume between the two groups was compared to identify brain regions with characteristic GM volume changes in migraine patients.And the correlation between these characteristic GM volume alterations and clinical scales was analyzed.Results Migraine patients exhibited significantly lower total GM volume compared to healthy controls(t=2.096,P=0.040),while no group differences were observed in white matter or cerebrospinal fluid volumes(t=0.980,0.151;P=0.330,0.880).VBM analysis revealed reduced GM volume in the left orbitofrontal cortex(t=4.301,P=0.022),left hippocampus(t=5.226,P=0.006)and left parahippocampal gyrus(t=3.960,P=0.040)in the migraine group.Negative correlations were identified between:left orbitofrontal cortex GM volume and headache duration(r=-0.506,P=0.008),left hippocampal GM volume and patient health questionnaire-9 scores(r=-0.620,P=0.003),and left parahippocampal GM volume and visual analogue scale scores(r=-0.449,P=0.019).Conclusion VBM analysis based on 7T MP2RAGE data demonstrates characteristic GM volume reductions in the left orbitofrontal cortex,left hippocampus and left parahippocampal gyrus in migraine patients,with these structural alterations significantly correlate with depressive symptoms and headache burden.The observed microstructural abnormalities may reflect underlying pathophysiological mechanisms related to pain processing,emotional regulation and long-term disease burden in migraine.

Objective To explore the differences in the radiological features,clinical,and laboratory indicators of frequent versus infrequent gout flares in the feet and ankles using dual-energy computed tomography(DECT).Methods A retrospective selection was made on 385 gout patients,who were divided into the frequent flare group(≥2 gout attacks per year,219 cases)and the infre-quent flare group(<2 gout attacks per year,166 cases).Clinical data,laboratory indicators,and DECT imaging findings were col-lected for statistical analysis.Binary logistic regression was used to analyze the independent risk factors for frequent gout flares and receiver operating characteristic(ROC)curve was plotted.Results Statistically significant differences were found between the fre-quent flare group and the infrequent flare group in terms of disease duration,body mass index(BMI),blood pressure,triglyceride(TG),serum uric acid(SUA),monosodium urate(MSU)crystal deposition,total volume of MSU crystals,maximum diameter of individ-ual tophi,number of affected joints,bone erosion,maximum depth of bone erosion,soft tissue swelling,bone proliferation and sclero-sis,and joint space narrowing(P<0.05).SUA levels,MSU crystal deposition,total volume of MSU crystals,and maximum depth of bone erosion were identified as independent risk factors for frequent gout(P<0.05).Both the combination of four factors model and the maximum depth of bone erosion model had better diagnostic efficacy.Conclusion Gout patients with high SUA levels,MSU crystal deposition,larger total volume of MSU crystals,and greater maximum depth of bone erosion are more likely to experience frequent gout attacks.Patients with bone erosion depth>3.200 mm are more likely identified early as having frequent gout.

Objective:To explore the neuroprotective effect of α7 nicotinic acetylcholine receptor (α7nAChR) on rat models of Parkinson's disease (PD) and its underlying mechanism.Methods:Forty-eight 8-week-old SPF-grade SD rats were randomly divided into a normal control group, a PD model group, an α7nAChR empty vector group and an α7nAChR overexpression group, with 12 rats in each group. PD models in the latter 3 groups of rats were established by 6-hydroxydopamine (6-OHDA). Four weeks after modeling, rats in the latter 2 groups were injected with 2 μL α7nAChR overexpression lentivirus or empty vector lentivirus through stereotactic intracerebral injection, while rats in the normal control group did not receive any treatment. Two weeks after injection, the behavioral changes of these rats were detected by apomorphine-induced rotation test; the right substantia nigra pars compacta (SNc) was prepared and performed the following experiments: hematoxylin-eosin (HE) staining and Nissl staining were used to detect the neuron morphological changes, TUNEL was used to detect the neuron apoptosis, fluorescent double labeling was used to detect the expressions of tyrosine hydroxylase (TH) and α-synuclein (α-Syn), ELISA was used to detect the expressions of 4-hydroxynonenal (4-HNE) and malondialdehyde (MDA), and Western blotting was used to detect the expressions of ferroptosis-related proteins (ferritin heavy chain 1 [FTH1], Sigma receptor 1 [S1R], glutathione peroxidase 4 [GPX4], long chain acyl-coa synthetase 4 [ACSL4], solute carrier family 7 member11 [SLC7A11]), and the expressions of proteins related to CAMKII/ERK pathway (phosphorylated calmodulin kinase Ⅱ [p-CAMK Ⅱ], phosphorylated extracellular signal regulated kinase [p-ERK], and phosphorylated Kirsten rat sarcoma viral oncogene homolog [p-KRAS]).Results:(1) Compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly larger number of rotations ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly smaller number of rotations ( P<0.05). (2) HE staining and Nissl staining showed that the PD model group had decreased number of dopaminergic neurons and Nissl bodies, accompanied by neuronal distribution disorder, nuclear condensation or swelling; the α7nAChR-overexpression group had obviously improved appearance of dopaminergic neurons, with normal morphology and less cell degeneration. (3) TUNEL results showed that compared with the normal control group, the PD model group, α7nAChR empty vector group, and α7nAChR overexpression group had significantly higher apoptosis rate ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had statistically lower apoptosis rate ( P<0.05). (4) Double immunofluorescent staining results showed that compared with the normal control group (303.61±48.40, 13 985.80±1 956.06), the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly increased α-Syn expression (4 310.40±518.43, 3 846.60±524.47 and 1 033.55±59.98) and statistically decreased TH expression (760.97±57.26, 842.55±113.41 and 8 101.82±1 171.85) in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly decreased α-Syn expression and increased TH expression in the right SNc ( P<0.05). (5) ELISA results showed that the 4-HNE and MDA expressions in the right SNc of the PD model group, α7nAChR empty vector group and α7nAChR overexpression group were significantly higher than those in the normal control group ( P<0.05); the 4-HNE and MDA expressions in the α7nAChR overexpression group were significantly lower than those in the PD model group ( P<0.05). (6) Western blotting results showed that compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly decreased FTH1, S1R, GPX4, and SLC7A11 protein expressions, and statistically increased ACSL4 protein expression in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly increased FTH1, S1R, GPX4, and SLC7A11 protein expressions and decreased ACSL4 protein expression in the right SNc ( P<0.05). Compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly increased p-KRAS, p-CAMKII, and p-ERK protein expressions in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly decreased p-KRAS, p-CAMKII, and p-ERK protein expressions in the right SNc ( P<0.05). Conclusion:The α7nAChR may exert neuroprotective effect on PD rat models by regulating the CAMKII/ERK pathway and ferroptosis-related proteins.

Objective To explore the differences in the radiological features,clinical,and laboratory indicators of frequent versus infrequent gout flares in the feet and ankles using dual-energy computed tomography(DECT).Methods A retrospective selection was made on 385 gout patients,who were divided into the frequent flare group(≥2 gout attacks per year,219 cases)and the infre-quent flare group(<2 gout attacks per year,166 cases).Clinical data,laboratory indicators,and DECT imaging findings were col-lected for statistical analysis.Binary logistic regression was used to analyze the independent risk factors for frequent gout flares and receiver operating characteristic(ROC)curve was plotted.Results Statistically significant differences were found between the fre-quent flare group and the infrequent flare group in terms of disease duration,body mass index(BMI),blood pressure,triglyceride(TG),serum uric acid(SUA),monosodium urate(MSU)crystal deposition,total volume of MSU crystals,maximum diameter of individ-ual tophi,number of affected joints,bone erosion,maximum depth of bone erosion,soft tissue swelling,bone proliferation and sclero-sis,and joint space narrowing(P<0.05).SUA levels,MSU crystal deposition,total volume of MSU crystals,and maximum depth of bone erosion were identified as independent risk factors for frequent gout(P<0.05).Both the combination of four factors model and the maximum depth of bone erosion model had better diagnostic efficacy.Conclusion Gout patients with high SUA levels,MSU crystal deposition,larger total volume of MSU crystals,and greater maximum depth of bone erosion are more likely to experience frequent gout attacks.Patients with bone erosion depth>3.200 mm are more likely identified early as having frequent gout.

ObjectiveTo explore the diagnostic-therapeutic course and epidemiological characteristics of the first imported kala-azar case reported in Changning District of Shanghai, so as to provide references for early detection, timely diagnosis, and effective management of the kala-azar cases in non-epidemic areas. MethodsIn 2025, a comprehensive epidemiological investigation and a complete collection of clinical records of one kala-azar patient imported from other provinces reported by a medical institution in this city were conducted. The source of infection, process of diagnosis and treatment, and clinical outcome of the case were systematically analyzed. ResultsThe case was a male migrant worker from Shanxi Province currently residing in Shanghai. In June 2023, the patient had a history of exposure to mosquito bites during his stay in a kala-azar endemic area. The initial onset occurred in December 2023, with clinical manifestations including unexplained fever accompanied by leukopenia, and subsequently gradually developed night sweats and fatigue during the following months. In June 2024, the patient self-perceived significant weight loss, and physical examination revealed hepatomegaly and splenomegaly, leading to a diagnosis of hemophagocytic syndrome (HPS). Throughout the whole course of the illness, the patient sought treatment at hematology departments of several hospitals multiple times, where he was managed as a case of HPS. In January 2025, a large number of Leishmania donovani were detected in the patient's bone marrow smear, confirming kala-azar. After 2 weeks of standardized treatment with amphotericin B liposomal, there was significant improvement. Combined with the epidemiological investigation, it was speculated that the incubation period of this case was about 6 months, whereas the interval from initial onset to definite diagnosis was approximately 14 months. ConclusionKala-azar has atypical early clinical symptoms, which are prone to confusion with HPS. For patients with recurrent unexplained fever accompanied by peripheral cytopenias, hepatomegaly and splenomegaly, medical institutions should consider the possibility of infectious diseases. Close collaboration between medical institutions and centers for disease control and prevention is essential to conduct a detailed epidemiological investigation and laboratory screening, ensuring confirmed cases receive standardized treatment.

Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry (LC-MS) remains a formidable challenge. Herein, a metabolic reaction-based molecular networking (MRMN) strategy is introduced, which enables the "one-pot" discovery of prototype drugs and their metabolites. MRMN constructs networks by matching metabolic reactions and evaluating MS² spectral similarity, incorporating innovations and improvements in feature degradation of MS² spectra, exclusion of endogenous interference, and recognition of redundant nodes. A minimum 75% correlation between structural similarity and MS² similarity of neighboring metabolites was ensured, mitigating false negatives due to spectral feature degradation. At least 79% of nodes, 49% of edges, and 97% of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking (GNPS) platform. Furthermore, an approach of redundant ions identification was refined, achieving a 10%-40% recognition rate across different samples. The effectiveness of MRMN was validated through a single compound, plant extract, and mixtures of multiple plant extracts. Notably, MRMN is freely accessible online at https://yaolab.network, broadening its applications.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*