Objective:To analyze the optical coherence tomography (OCT) imaging characteristics in patients with Coats disease and their value in predicting macular fibrosis.Methods:A nested case-control study was performed.A total of 43 patients (43 eyes) diagnosed with Coats disease through color fundus photography, ocular B-scan ultrasonography, fundus fluorescein angiography, and spectral-domain OCT examination were enrolled from January 2008 to October 2021 at the Xijing Hospital.Among them, there were 40 males and 3 females, aged from 2 to 60 years old, with a median age of 13 years.Macular fibrosis was used as an indicator of poor prognosis, and patients were divided into two groups based on whether macular fibrosis occurred at the end of follow-up.The differences in OCT characteristics between two groups were compared and logistic regression analysis was used to identify the risk factors for macular fibrosis.This study adhered to the Declaration of Helsinki and was approved by the Ethics Committee of Xijing Hospital of Fourth Military Medical University (No.KY20202009-C-1).Results:The OCT clinical features of 43 cases of Coats disease included intraretinal hard exudates in 43 eyes (100%), subretinal fluid in 21 eyes (48.8%), macular cysts in 17 eyes (27.9%), subretinal exudates in 9 eyes (20.9%), anterior retinal hyperreflective dots in 7 eyes (16.3%), epiretinal membrane in 21 eyes (48.8%), and intraretinal fluid in 22 eyes (51.2%).In color fundus photos of 41 eyes, 38 eyes (93.0%) had hard exudates distributed in the posterior pole and 27 eyes (65.9%) had the mid-peripheral region.OCT examination showed that hard exudates were distributed in the inner nuclear layer in 35 eyes (81.4%) and the outer nuclear layer in 33 eyes (76.7%).Among 21 eyes with exudative retinal detachment detected by OCT, 9 eyes (42.9%) were detected by fundus photography and 18 eyes (85.7%) were detected by B-scan ultrasonography.The proportions of eyes with subretinal fluid and subretinal exudates were higher in the macular fibrosis group than in the non-macular fibrosis group, and the differences were statistically significant ( χ2=20.755, P<0.001; χ2=6.133, P=0.013).Logistic regression analysis showed that the presence of subretinal fluid was a risk factor for macular fibrosis (odds ratio=48.345, 95% confidence interval: 4.272-547.066, P=0.002). Conclusions:OCT examination can detect subretinal fluid, subretinal exudates, macular cysts, macular exudates, and hyperreflective spots in the retina of patients with Coats disease.Subretinal fluid is a risk factor for macular fibrosis.

Objective:To observe the effects of SARS-CoV-2 infection on the morphology, proliferation, apoptosis, cell cycle, and immune response function of mouse retinal photoreceptor cells (661w cells).Methods:A cell experiment. Logarithmic growth phase 661w cells were cultured in vitro and transfected with angiotensin-converting enzyme 2 (ACE2) overexpressing lentivirus to construct ACE2 overexpressing 661w cells that could be infected with SARS-CoV-2 pseudovirus (hereafter referred to as 'pseudovirus’). The 661w cells were divided into three groups: the normal group (untreated), the siACE2 group (overexpressing ACE2 and not infected with the pseudovirus) and the infected group (overexpressing ACE2 and infected with the pseudovirus), in which the infected group was 5 TU/ml pseudovirus group, 15 TU/ml pseudovirus group, 30 TU/ml pseudovirus group and 50 TU/ml pseudovirus group, and the cells were infected with the pseudovirus for 12, 24, 48 and 72 h, respectively. The infected group was infected with 5 TU/ml pseudovirus group, 15 TU/ml pseudovirus group, 30 TU/ml pseudovirus group and 50 TU/ml pseudovirus group, respectively, for 12, 24, 48 and 72 h. Fluorescence microscopy was used to observe the transfection efficiency of ACE2; protein immunoblotting (Western blot) was used to detect the relative expression level of ACE2 in the cells; light microscope was used to observe the morphology of the cells in the normal and the infected groups; cell proliferation was detected by Cell Counting Kit-8 (CCK8) assay; flow cytometry was used to detect the cell cycle; Western blot and real-time quantitative polymerase chain reaction (qPCR) were used to detect the relative expression of interleukin-6 (IL-6), tumour necrosis factor-α (TNF-α), B lymphocytoma-2 (Bcl-2), Bcl-2-associated X-protein (Bax) proteins and mRNA in the cells of siACE2 group, infected group (30 TU/ml pseudovirus group); qPCR was used to detect the relative expression of nuclear factor ( NF)- κB1 and NF-κB2, as well as NF- kB enhancer ( P65) and precursor protein ( P100) in cells of the siACE2 group and the infected group (30 TU/ml pseudovirus group). One-way ANOVA was used for comparison between multiple groups; t-test was used for comparison between two groups. Results:Compared with the siACE2 group, the cells in the infected group showed different degrees of crumpling, and with the increase of the concentration and time of pseudovirus induction, the crumpling of the cells worsened, and the number of cells decreased. Compared with the normal group, the cells in the infected group showed a gradual decrease in cell viability with the prolongation of pseudovirus induction time, and the difference was no statistically significant ( F=0.840, 0.412, 1.498, 1.138; P>0.05), and the apoptotic index of the cells induced in the 30 and 50 TU/ml pseudovirus group was significantly elevated, and the difference was statistically significant ( F=2.523, 6.716, 3.477, 3.421; P<0.05). At 72 h of pseudovirus induction, compared with the siACE2 group, the G1 phase cells in the 30 TU/ml pseudovirus group were significantly increased, and the difference was statistically significant ( t=3.812, P<0.05); the relative expression of IL-6, TNF-α, Bax protein and mRNA in the cells was up-regulated ( t=7.601, 6.039, 3.088, 5.193, 6.427, 7.667; P<0.05), the relative expression of Bcl-2 protein and mRNA was down-regulated ( t=3.614, 6.777; P<0.05), and the relative expression of NF-κB1, NF-κB2, P65, and P100 mRNA was significantly up-regulated with statistically significant differences ( t=3.550, 3.074, 3.307, 4.218; P<0.05). Conclusion:SARS-CoV-2 infection may inhibit photoreceptor cell proliferation, promote apoptosis and cycle blockade by activating the NF-κB signalling pathway.

Irinotecan (CPT11) chemotherapy-induced diarrhea affects a substantial cancer population due to β-glucuronidase (Gus) converting 10-O-glucuronyl-7-ethyl-10-hydroxycamptothecin (SN38G) to toxic 7-ethyl-10-hydroxycamptothecin (SN38). Existing interventions primarily address inflammation and Gus enzyme inhibition, neglecting epithelial repair and Gus-expressing bacteria. Herein, we discovered that dehydrodiisoeugenol (DDIE), isolated from nutmeg, alleviates CPT11-induced intestinal mucositis alongside a synergistic antitumor effect with CPT11 by improving weight loss, colon shortening, epithelial barrier dysfunction, goblet cells and intestinal stem cells (ISCs) loss, and wound-healing. The anti-mucositis effect of DDIE is gut microbiota-dependent. Analysis of microbiome profiling data from clinical patients and CPT11-induced mucositis mice reveals a strong correlation between CPT11 chemotoxicity and Gus-expressing bacteria, particularly Enterococcus faecalis (E. faecalis). DDIE counters CPT11-induced augmentation of E. faecalis, leading to decreased intestinal Gus and SN38 levels. The Partial Least Squares Path Model (PLS-PM) algorithm initially links E. faecalis to dysregulated epithelial renovation. This is further validated in a 3D intestinal organoid model, in which both SN38 and E. faecalis hinder the formation and differentiation of organoids. Interestingly, colonization of E. faecalis exacerbates CPT11-induced mucositis and disturbs epithelial differentiation. Our study unveils a microbiota-driven, epithelial reconstruction-mediated action of DDIE against mucositis, proposing the 'Gus bacteria-host-irinotecan axis' as a promising target for mitigating CPT11 chemotoxicity.

Objective To describe the status of serf-disclosure among youth students living with HIV/AIDS and explore its influencing factors.Methods Totally 110 youth students living with HIV/AIDS in the outpatient clinic were randomly selected from three hospitals in Beijing via convenience sampling and investigated using patients' general information questionnaire,self-disclosure questionnaire,simplified coping style scale,medical and social support scale,self-esteem scale and HIV/AIDS knowledge questionnaire.Logistic regressions were used to determine the influencing factors of self-disclosure.Results Sixty-four youth students living with HIV/AIDS conducted serf-disclosure,accounting for 58.2％.Logistic regression results showed that the influencing factors of self-disclosure were marriage,test results of latest CD4 cell count,perceived discrimination.Conclusion The level of self-disclosure among youth students living with HIV/AIDS is relatively high in this study.Medical staff should know the status and influencing factors of self-disclosure among youth students living with HIV/AIDS,and make effective assessments and take targeted interventions in order to promote self-disclosure.

Objective To understand the level of posttraumatic growth among people living with HIV/AIDS and analyze the influencing factors. Methods Totally 175 people living with HIV/AIDS were randomly selected via convenience sampling and investigated using patients′ general information, Post-Traumatic Growth Inventory(PTGI), HIV stigma scale and Social Support Rating Scale. Results The average score of PTGI among people living with HIV/AIDS was (60.76 ± 27.03) points. Single factor analysis showed that there was a difference among people living with HIV/AIDS who had different education status, health insurance and whether to tell others HIV positive (Z=21.534, t=2.607, 3.958, P<0.01). There was a difference between the level of social support and perceived discrimination among people living with HIV/AIDS (r=0.245-0.275, P<0.01). Multiple linear regression analysis showed that the level of social support, perceived discrimination and whether to tell others HIV positive could affect the total score of PTGI. All the variables could explain 24.0％variance of posttraumatic growth. Conclusions People living with HIV/AIDS havemoderate posttraumatic growth. The level of social support, perceived discrimination and whether to tell others HIV positive are related to the posttraumatic growth among people living with HIV/AIDS.