AIM:To investigate the effect of fibroblast growth factor 21(FGF21)on high glucose-induced oxidative stress in retinal pigment epithelial(RPE)cells and to clarify the underlying molecular mechanisms.METHODS:Single-cell sequencing data from the GEO database were analyzed to determine the expression profile of the FGF21 receptor FGFR1 in RPE cells. Human ARPE-19 cells were cultured and randomly assigned to control, high glucose(30 mmol/L), and high glucose+FGF21 analog treatment groups, with additional siFGFR1 and PI3K inhibitor groups. Cell viability in different treatment groups was assessed using CCK-8 assay, intracellular reactive oxygen species(ROS)levels were quantified using DCFH-DA fluorescent probing combined with immunofluorescence staining and flow cytometry. Transcriptome sequencing was performed on cells from the high glucose group and high glucose+FGF21 group to analyze the enrichment level of the PI3K/Akt signaling pathway. Western blotting was performed to detect phosphorylation levels of PI3K/Akt pathway components.RESULTS:Single-cell sequencing revealed specific expression of FGFR1 in RPE cells of retinal tissues from diabetic model mice. Under In vitro experiments, high glucose(30 mmol/L)exposure reduced ARPE-19 cell viability by 49.7% and increased ROS levels by approximately 2-fold. Whereas treatment with the FGF21 analog(60 ng/mL)restored cell viability and attenuated high glucose-induced ROS accumulation. Mechanistic studies demonstrated that FGFR1 knockdown inhibited the antioxidative stress of FGF21. Further validation of the molecular mechanism revealed that high glucose significantly suppressed the PI3K/Akt pathway activation(the levels of p-Akt and p-PI3K were decreased by 33.9% and 36.6%, respectively), while FGF21 effectively reversed this inhibitory effect and restored the expression of p-Akt and p-PI3K. Treatment with the PI3K inhibitor LY294002 inhibited the cytoprotective effect of FGF21 and significantly increased the ROS-positive cells, these findings confirm that PI3K/Akt signaling is indispensable downstream mechanism for FGF21 to exert its effects.CONCLUSION:FGF21 alleviates high glucose-induced oxidative stress and cellular injury in RPE cells by activating the PI3K/Akt signaling pathway through its receptor FGFR1.

Diabetic retinopathy (DR) is a common complication of diabetes that can lead to visual impairment or even blindness. Current treatments mainly rely on invasive methods, which carry the risk of complications, making early intervention crucial. In recent years, research has revealed that the mechanical microenvironment of the retina plays a key role in the development and progression of DR, involving cell migration, functional disorders, and changes in the extracellular matrix. Mechanobiological mechanisms, such as mechanical signal transduction and the Hippo/Yes-associated protein pathway, are gradually being uncovered. Mechanical diagnostic and therapeutic strategies, including optical coherence elastography, tissue engineering, and intelligent diagnostic systems, offer new directions for DR management. In the future, further integration of biomechanics and mechanobiology research is needed to build multi-scale mechanical models and explore the synergistic regulation mechanisms between mechanical and biochemical factors, aiming to achieve precise and personalized diagnosis and treatment of DR and ultimately improve patients' visual outcomes.

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Objective To investigate the factors influencing mood and sleep among special operation personnel,so as to provide evidence for the prevention and intervention of related issues.Methods A total of 600 special operation personnel during their special duty were enrolled by random sampling method.Basic information was collected by a general information questionnaire.Mood and sleep status were evaluated by self-rating anxiety scale(SAS),self-rating depression scale(SDS),and Pittsburgh sleep quality index scale(PSQI).Results Spearman correlation analysis showed that factors associated with anxiety were years of work experience(r=0.099,P=0.016),family residence(r=-0.153,P＜0.001),and sleep status(r=0.199,P＜0.001);the factors associated with depression were relationship with parents(r=-0.134,P=0.001),family residence(r=-0.144,P＜0.001),and sleep status(r=0.122,P=0.003);and the factors associated with sleep were age(r=0.088,P=0.031),years of work experience(r=0.079,P=0.049),and number of children(r=0.083,P=0.043).Binary logistic regression analysis showed that depression was not an influencing factor of sleep(odds ratio[OR]=1.302,95%confidence interval[95%CI]0.759-1.758,P=0.086),while anxiety was an influencing factor of sleep(OR=2.187,95%CI 1.608-4.695,P=0.001).Conclusion The sleep status of special operation personnel investigated in this survey is related to age and years of work experience,and is influenced by anxiety.Therefore,greater attention should be given to sleep issues in the occupational health support of special operations.Additionally,years of work experience,family residence,relationship with parents,and sleep status are related to anxiety and depression among special operation personnel.It is necessary to focus on the mental health of older workers and those with longer tenure.

Objective:To evaluate surgical strategies and clinical outcomes in supra-labyrinthine cholesteatoma management, providing evidence-based guidance for therapeutic decision-making. Methods:Seven patients with supra-labyrinthine cholesteatoma in our hospital from 2021 to 2023 were enrolled in this study. The clinical manifestations, imaging findings, and surgical outcomes of patients were retrospectively analyzed. A systematic literature review focused on surgical anatomy correlations and imaging-based approach selection. Results:All seven cases of supra-labyrinthine cholesteatoma were unilateral. Preoperative otoendoscopy, CT, and intraoperative findings confirmed that they were classified as supral-abyrinthine cholesteatoma according to Sanna's classification. Two cases were operated entirely with otoendoscopy, three cases used a postauricular approach with microscopic assistance, and two cases involved a combined approach with endoscopy and microscopy. Hearing reconstruction with ossicular prosthesis was performed in five cases, while two cases did not undergo hearing reconstruction due to preoperative anacusis confirmed by both subjective and objective hearing tests. In all seven cases, various segments of the facial nerve were exposed during surgery, but postoperative facial nerve function remained intact, hearing was preserved, no cerebrospinal fluid leakage occurred, and no recurrences have been observed to date（as of June 2024）. Conclusion:With the advancement of imaging techniques and microsurgical technology, early diagnosis and surgical methods for supral-abyrinthine cholesteatoma have significantly improved. Compared to traditional approaches, the newer methods reduce unnecessary complications and offer advantages such as minimal surgical trauma, superior hearing preservation rates, and shorter recovery times with better postoperative neural function. This study reviews recent literature on petroclival cholesteatomas, combined with our own cases, to analyze the classification of supral-abyrinthine cholesteatoma and surgical approach selection. The findings aim to optimize treatment strategies and guide appropriate surgical methods, ultimately improving patient prognosis and quality of life.
Humans ; Cholesteatoma/surgery* ; Ear, Inner/surgery* ; Retrospective Studies ; Treatment Outcome

Objective:To investigate the interaction of risk factors for diabetic retinopathy (DR) occurrence.Methods:A cross-sectional study was performed.A total of 6 783 diabetic patients with complete survey data from 2005 to 2018 in the National Health and Nutrition Survey database were enrolled, among which 4 426 patients were included according to inclusion criteria and were divided into non-DR diabetes group of 3 491 cases and DR group of 935 cases.The related risk factors were collected, including age, gender, race, residential status, education, annual household income, body mass index (BMI), fasting glucose, glycosylated hemoglobin, duration of diabetes, family history of diabetes, comorbidities, smoke, alcohol use, sleep, physical activity.Patient Health Questionnaire (PHQ-9) was used to assess the psychological status.After the categorization of all variables, risk factors of DR were analyzed by logistic regression, and the interaction between factors was further analyzed.Results:Multivariate analysis showed that female[odds ratio ( OR)=1.33, 95% confidence interval ( CI): 1.02-1.72], duration of diabetes ≥10 years ( OR=1.03, 95% CI: 1.02-1.04), insulin therapy ( OR=2.38, 95% CI: 1.87-3.05), urinary albumin creatinine ratio (UACR) ≥30 mg/g ( OR=1.55, 95% CI: 1.22-1.96) and depression ( OR=1.44, 95% CI: 1.13-1.83) were risk factors for DR, and BMI≤28 kg/m 2 ( OR=0.70, 95% CI: 0.55-0.89) was a protective factor for DR.Furthermore, interaction analysis revealed additive interaction between UACR ≥30 mg/g and insulin therapy [relative excess risk due to interaction ( RERI)=2.46, 95% CI: 0.84-4.09, attributable proportion due to interaction ( AP)=0.44, 95% CI: 0.26-0.63, synergy index ( S)=2.16, 95% CI: 1.37-3.41).The UACR ≥30 mg/g and longer diabetic duration ≥10 years had both multiplicative ( OR=1.67, 95% CI: 1.00-2.76) and additive interactions ( RERI=2.02, 95% CI: 0.79-3.25, AP=0.47, 95% CI: 0.27-0.66, S=2.53, 95% CI: 1.37-4.68). Conclusions:Patients with diabetes treated with insulin, with a duration of diabetes ≥10 years and accompanied by UACR ≥30 mg/g are at higher risk of developing DR than those with a single risk factor.

Objective:To investigate the interaction of risk factors for diabetic retinopathy (DR) occurrence.Methods:A cross-sectional study was performed.A total of 6 783 diabetic patients with complete survey data from 2005 to 2018 in the National Health and Nutrition Survey database were enrolled, among which 4 426 patients were included according to inclusion criteria and were divided into non-DR diabetes group of 3 491 cases and DR group of 935 cases.The related risk factors were collected, including age, gender, race, residential status, education, annual household income, body mass index (BMI), fasting glucose, glycosylated hemoglobin, duration of diabetes, family history of diabetes, comorbidities, smoke, alcohol use, sleep, physical activity.Patient Health Questionnaire (PHQ-9) was used to assess the psychological status.After the categorization of all variables, risk factors of DR were analyzed by logistic regression, and the interaction between factors was further analyzed.Results:Multivariate analysis showed that female[odds ratio ( OR)=1.33, 95% confidence interval ( CI): 1.02-1.72], duration of diabetes ≥10 years ( OR=1.03, 95% CI: 1.02-1.04), insulin therapy ( OR=2.38, 95% CI: 1.87-3.05), urinary albumin creatinine ratio (UACR) ≥30 mg/g ( OR=1.55, 95% CI: 1.22-1.96) and depression ( OR=1.44, 95% CI: 1.13-1.83) were risk factors for DR, and BMI≤28 kg/m 2 ( OR=0.70, 95% CI: 0.55-0.89) was a protective factor for DR.Furthermore, interaction analysis revealed additive interaction between UACR ≥30 mg/g and insulin therapy [relative excess risk due to interaction ( RERI)=2.46, 95% CI: 0.84-4.09, attributable proportion due to interaction ( AP)=0.44, 95% CI: 0.26-0.63, synergy index ( S)=2.16, 95% CI: 1.37-3.41).The UACR ≥30 mg/g and longer diabetic duration ≥10 years had both multiplicative ( OR=1.67, 95% CI: 1.00-2.76) and additive interactions ( RERI=2.02, 95% CI: 0.79-3.25, AP=0.47, 95% CI: 0.27-0.66, S=2.53, 95% CI: 1.37-4.68). Conclusions:Patients with diabetes treated with insulin, with a duration of diabetes ≥10 years and accompanied by UACR ≥30 mg/g are at higher risk of developing DR than those with a single risk factor.

Diabetic retinopathy (DR) is a common complication of diabetes that can lead to visual impairment or even blindness. Current treatments mainly rely on invasive methods, which carry the risk of complications, making early intervention crucial. In recent years, research has revealed that the mechanical microenvironment of the retina plays a key role in the development and progression of DR, involving cell migration, functional disorders, and changes in the extracellular matrix. Mechanobiological mechanisms, such as mechanical signal transduction and the Hippo/Yes-associated protein pathway, are gradually being uncovered. Mechanical diagnostic and therapeutic strategies, including optical coherence elastography, tissue engineering, and intelligent diagnostic systems, offer new directions for DR management. In the future, further integration of biomechanics and mechanobiology research is needed to build multi-scale mechanical models and explore the synergistic regulation mechanisms between mechanical and biochemical factors, aiming to achieve precise and personalized diagnosis and treatment of DR and ultimately improve patients' visual outcomes.

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Immunoinflammation mediates the development of hypertensive nephropathy,and aberrant activation of the complement system,an important component of the innate immune system,plays an important role in the development of hypertensive nephropathy.Complement inhibition is expected to be a potential strategy for the treatment of hypertensive nephropathy.In this article,we summarized and reviewed relevant studies on the complement system in the development of hypertensive nephropathy,and complement-targeted drug therapy,aiming to provide new ideas for clinicians on the clinical diagnosis and treatment of hypertensive nephropathy.