[Objective] To investigate the infection status and characteristics of HEV among voluntary blood donors in Ningbo, and to provide a basis for improving the blood screening strategy. [Methods] A total of 12 227 blood samples from voluntary blood donors in Ningbo from June 2022 to May 2023 were tested for HEV serology, enzymology, and nucleic acid testing. Furthermore, HEV gene sequencing was performed for genotyping analysis, and donors with reactive nucleic acid testing results were followed up to confirm their infection status. [Results] The reactivity rate of HEV Ag, anti-HEV IgM and anti-HEV IgG was 0.098%, 0.899% and 29.198%, respectively. There was no difference in the reactivity of anti-HEV IgM and anti-HEV IgG between genders, donation frequencies and donation types (P>0.05). The reactivity rate increased significantly with age (P<0.05). The rate of ALT disqualification (ALT>50U/L) was significantly higher than that in non-reactive samples (P<0.05). The HEV Ag reactivity rate (0.098%) was not correlated with gender, donation frequency, donation type or age. One HEV RNA positive case was found, with a positive rate of 0.008%(1/12 227). It was confirmed to be hepatitis E virus genotype 3 by sequencing analysis. Apart from HEV Ag reactivity, all other blood safety screening items were non-reactive, suggesting this case might be in the acute infection phase. The follow-up results showed that all indicators of the donor's previous blood donation were non-reactive. [Conclusion] Pre-donation ALT detection can reduce the risk of transfusion-transmitted HEV (TT-HEV) to a certain extent, and the effective way to prevent TT-HEV is to detect HEV RNA and serology of donor blood.

Objective Based on the radiomics features extracted from the unenhanced CT images of the lower abdomen, a variety of machine learning models were constructed to explore their application value in the assessment of split renal function. Methods A retrospective analysis was conducted on the unenhanced CT images from 240 single kidneys in patients with clinically suspected renal dysfunction. Based on the results of single-photon emission computed tomography renal dynamic imaging, the cases were classified into the normal glomerular filtration rate group (n=118) and the decreased glomerular filtration rate group (n=122). The region of interest was outlined on the unenhanced CT images and the radiomics features were extracted. The features were selected by correlation analysis and least absolute shrinkage and selection operator, and the machine learning models were constructed based on the algorithms of decision tree, support vector machine, random forest, logistic regression, and extreme gradient boosting. Area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were calculated to compare the performance of different models. Results Sixteen radiomics features were selected for constructing the machine learning models. The support vector machine model showed relatively high performance for the assessment of split renal function on the test set, with an area under the receiver operating characteristic curve value of 0.883 (95% confidence interval: 0.804-0.961), an accuracy of 0.778, a sensitivity of 0.811, and a specificity of 0.743. Conclusion The machine learning models constructed based on unenhanced CT radiomics can be used to preliminarily assess split renal function, which provides an innovative, convenient, and safe method for clinical diagnosis and has positive significance for treatment.

AIM: To investigate the specific molecular mechanism of Yinqiao Powder in affecting macrophage polarization in herpes simplex keratitis(HSK)through the cyclic GMP-AMP synthetase(cGAS)-stimulator of interferon genes(STING)-interferon regulatory factor 3(IRF3)molecular pathway.METHODS:Human corneal epithelial cells(HCE-T)were divided into control, HSK, and HSK + Yinqiao Powder groups. M0 macrophages were grouped as Ctrl, HSV-1, HSV-1+oe-cGAS, HSV-1+Yinqiao Powder, and HSV-1+oe-cGAS+Yinqiao Powder. Conditional medium(CM)from each group of M0 macrophages was collected to intervene in HCE-T cells and divided into Ctrl-CM, HSV-1-CM, HSV-1+oe-cGAS-CM, and HSV-1+Yinqiao Powder-CM groups. Cell viability was detected by MTT assay, and apoptosis was detected by TUNEL assay. ELISA was used to detect the concentrations of Arg-1 and iNOS in cell supernatants, and Western blotting was used to detect the relative protein expressions of cGAS, STING, and IRF3. Balb/c mice were divided into control, model, and drug groups. The model and drug groups were inoculated with HSV-1 on the cornea of Balb/c mice using the corneal scratch method to construct an HSK mouse model, and the drug group was treated with Yinqiao Powder. The incidence and mortality of the three groups were compared on days 1, 3, 5, 7, and 14 after modeling.RESULTS:Compared with the control group, the HCE-T cell viability in the HSK group was decreased but apoptosis was increased, which was reversed by Yinqiao Powder intervention. Compared with the Ctrl group, the Arg-1 concentration in the cell supernatant of the HSV-1 group was decreased, the iNOS concentration was increased, and the protein expressions of cGAS, STING, and IRF3 were decreased. Compared with the HSV-1 group, the Arg-1 concentration was increased, the iNOS concentration was decreased, and the protein expressions of cGAS, STING, and IRF3 were enhanced in the HSV-1+oe-cGAS group and the HSV-1+Yinqiao Powder group, and the same results were obtained in the HSV-1+oe-cGAS+Yinqiao Powder group. Compared with the Ctrl-CM group, the HCE-T cell viability was decreased and apoptosis was increased in the HSV-1-CM group, which was reversed by overexpressing cGAS in macrophages or intervening with Yinqiao Powder. In vivo experiments found that Yinqiao Powder intervention could improve the pathological progression of keratitis.CONCLUSION:Yinqiao Powder inhibits M1 polarization of macrophages through the cGAS-STING-IRF3 molecular pathway, thereby delaying the progression of HSK.

The ocular fundus vasculature, serving as a critical window for monitoring disease progression, represents one of the primary targets of hypoxic injury. A growing body of evidence suggests associations between specific ocular vascular pathologies and sleep-disordered breathing. Obstructive sleep apnea(OSA)has been implicated in fundus lesions through its detrimental effects on the central retinal artery, retinal veins, retinal microvasculature, and choroidal vessels. Mechanistically, these effects are linked to OSA-induced intermittent hypoxia, which drives hemodynamic disturbances, oxidative stress, inflammatory responses, altered blood composition, endothelial dysfunction, and neuroendocrine/metabolic dysregulation. This review synthesizes current evidence on OSA-related retinal vascular injury and elucidates its mechanistic pathways. The goal is to identify sensitive and specific retinal vascular biomarkers to facilitate the early detection of OSA and its associated complications.

AIM: To explore the dynamic expression of high mobility group box 1(HMGB1)in scar tissues after glaucoma drainage valve implantation, and to further reveal the role and possible mechanism of HMGB1 in scarring after glaucoma surgery.METHODS: A total of 60 New Zealand white rabbits were randomly divided into control group(n=20), model group(n=20, silicone implantation under conjunctival sac)and model with drug administration group(n=20, silicone implantation under conjunctival sac combined with 5-fluorouracil injection). The conjunctival tissues were collected at 4 and 8 wk after surgery. HE staining and Masson staining were used to detect the proliferation and distribution of fibroblasts and collagen fibers in conjunctival tissues. Immunohistochemistry was utilized to detect the distribution and changes of HMGB1, transforming growth factor(TGF)-β1, Smad3 and α-smooth muscle actin(SMA)in conjunctival tissues. RT-PCR and Western blot were adopted to detect the mRNA and protein expression of HMGB1, TGF-β1, Smad3 and α-SMA in conjunctival tissues.RESULTS: HE staining and Masson staining showed that the proliferation of inflammatory cells, fibroblasts and collagen fibers in the model group was significantly higher than that in the control group at both 4 and 8 wk. Meanwhile, the proliferation of fibroblasts and collagen fibers in the model with drug administration group was significantly lower than that in the model group. Immunohistochemical staining showed that the expression of HMGB1, TGF-β1, Smad3 and α-SMA protein was observed in the conjunctival tissues of the model group both 4 and 8 wk, with brown and significantly deeper staining of the model group at 8 wk. Meanwhile, the positive staining in the model with drug administration group at both 4 and 8 wk was significantly lower than that in the model group. There was positive correlations between the number of fibroblasts stained with HE and the expression of HMGB1 in the conjunctival tissue of the model group at both 4 and 8 wk(r=0.602, 0.703, all P<0.05). RT-PCR and Western blot revealed that the mRNA and protein expression levels of HMGB1, TGF-β1, Smad3 and α-SMA in the model group were significantly higher than those in the control group at both 4 and 8 wk(all P<0.05). Meanwhile, the mRNA and protein expression levels of HMGB1, TGF-β1, Smad3 and α-SMA in the model with drug administration group were significantly lower than those in the model group(all P<0.05). There was positive correlations between mRNA expressions of HMGB1 and TGF-β1, Smad3 in the model group and the model with drug administration group(all P<0.05).CONCLUSION: The expression of HMGB1 increased at a time-dependent manner after glaucoma valve implantation. HMGB1 acts an indispensable role in the initiation and progression of scar formation after glaucoma surgery, which may be involved in the regulation of TGF-β/Smad signaling pathway.

Dry eye disease(DED)refers to a condition characterized by reduced stability of the tear film or an imbalance in the microenvironment of the ocular surface, resulting from abnormalities in quality, quantity and kinetics of tear. This condition leads to various ocular discomforts and even visual impairment. The pathogenesis of DED is multifactorial and current treatment mainly focuses on symptom relief and preservation of visual function. Acupuncture has shown effectiveness in treating dry eye, although its underlying mechanism remains incompletely understood. Proteomics technology offers a comprehensive and systematic approach to studying the functions, structures and interactions of proteins. Its application in DED research can provide valuable insights into the dynamic changes in protein levels associated with different etiology or the course of DED and facilitate the identification of potential biomarkers. Furthermore, proteomics can systematically explore the regulatory mechanisms underlying acupuncture treatment for DED, providing a theoretical basis for acupuncture treatment research and contributing to the understanding of its effects at a fundamental level. This paper aims to explore the potential application of proteomics in both clinical and basic research on DED. Ultimately, it strives to offer scientific and effective strategies for the diagnosis and treatment of DED and advance our knowledge of the mechanisms underlying acupuncture therapy.

Background The benchmark dose (BMD) method calculates the dose associated with a specific change in response based on a specific dose-response relationship. Compared with the traditional no observed adverse effect level (NOAEL) method, the BMD method has many advantages, and the 95% lower confidence limit of benchmark dose lower limit (BMDL) is recommended to replace NOAEL in deriving biological exposure limits. No authority has yet published any health-based guideline for rare earth elements. Objective To evaluate genotoxicity threshold induced by acute exposure to neodymium nitrate in mice using BMD modeling through micronucleus test and comet assay. Methods SPF grade mice (n=90) were randomly divided into nine groups, including seven neodymium nitrate exposure groups, one control group (distilled water), and one positive control group (200 mg·kg⁻¹ ethyl methanesulfonate), 10 mice in each group, half male and half female. The seven dose groups were fed by gavage with different concentrations of neodymium nitrate solution (male: 14, 27, 39, 55, 77, 109, and 219 mg·kg⁻¹; female: 24, 49, 69, 97, 138, 195, and 389 mg·kg⁻¹) twice at an interval of 21 h. Three hours after the last exposure, the animals were neutralized by cervical dislocation. The bone marrow of mice femur was taken to calculate the micronucleus rate of bone marrow cells, and the liver and stomach were taken for comet test. Results The best fitting models for the increase of polychromatophil micronucleus rate in bone marrow of female and male mice induced by neodymium nitrate were the exponential 4 model and the hill model, respectively. The BMD and the BMDL of female mice were calculated to be 31.37 mg·kg⁻¹ and 21.90 mg·kg⁻¹, and those of male mice were calculated to be 58.62 mg·kg⁻¹ and 54.31 mg·kg⁻¹, respectively. The best fitting models for DNA damage induced by neodymium nitrate in female and male mouse hepatocytes were the exponential 5 model and the exponential 4 model, respectively, and the calculated BMD and BMDL were 27.15 mg·kg⁻¹ and 11.99 mg·kg⁻¹ for female mice, and 16.28 mg·kg⁻¹ and 10.47 mg·kg⁻¹ for male mice, respectively. The hill model was the best fitting model for DNA damage of gastric adenocytes in both female and male mice, and the calculated BMD and BMDL were 36.73 mg·kg⁻¹ and 19.92 mg·kg⁻¹ for female mice, and 24.74 mg·kg⁻¹ and 14.08 mg·kg⁻¹ for male mice, respectively. Conclusion Taken the micronucleus rate of bone marrow cells, DNA damage of liver cells and gastric gland cells as the end points of genotoxicity, the BMDL of neodymium nitrate is 10.47 mg·kg⁻¹, which can be used as the threshold of genotoxic effects induced by acute exposure to neodymium nitrate in mice.