AIM:To investigate the effect of 3% diquafosol sodium eye drops on tear film homeostasis in patients wearing overnight orthokeratology lenses.METHODS:Retrospective study. A total of 340 patients(564 eyes)fitted with night-worn orthokeratology lenses from June to December 2022 were respectively divided into a diquafosol sodium group(200 cases, 323 eyes, treated with 3% diquafosol sodium eye drops)and a sodium hyaluronate group(140 cases, 241 eyes, treated with sodium hyaluronate eye drops). The uncorrected visual acuity(LogMAR), ocular surface disease index(OSDI), non-invasive tear film break-up time(NIBUT), meibomian gland infrared imaging score, and corneal epithelial fluorescein staining were analyzed and compared between the two groups.RESULTS:Compared to baseline, both groups showed significant improvements in uncorrected visual acuity(LogMAR)at 1 wk, 1, and 3 mo after lens wear(all P<0.01). However, no statistically significant difference in uncorrected visual acuity(LogMAR)was observed between the two groups at any time point(all P>0.05). No significant differences in NIBUT or OSDI scores were found between the groups before and at 1 wk after lens wear(all P>0.05). At the 1- and 3 mo follow-ups, the 3% diquafosol sodium group demonstrated significantly longer NIBUT(all P<0.001)and lower OSDI scores(all P<0.001)compared to the sodium hyaluronate group. After wearing lens for 3 mo, the meibomian gland infrared imaging scores were significantly better in the diquafosol sodium group(P<0.001), whereas no significant intergroup difference was observed in corneal fluorescein staining(P>0.05). Furthermore, the incidence of adverse events during the study period did not differ significantly between the two groups(P>0.05).CONCLUSION:Compared with sodium hyaluronate, 3% diquafosol sodium eye drops were more effective in maintaining tear film homeostasis in patients wearing overnight orthokeratology lenses.

In current clinical practice, various dermal templates and skin substitutes are used to enhance wound healing. However, the role of wound commensal microbiome in regulating scaffold performance and the healing process remains unclear. In this study, we investigated the influence of both natural and synthetic scaffolds on the wound commensal microbiome and wound repair in three distinct models including diabetic wounds, burn injuries, and germ-free (GF) wounds. Remarkably, synthetic electrospun polycaprolactone (PCL) scaffolds were observed to positively promote microbiome diversity, leading to enhanced diabetic wound healing compared to the natural scaffolds Integra® (INT) and MatriDerm® (MAD). In contrast, both natural and synthetic scaffolds exhibited comparable effects on the diversity of the microbiome and the healing of burn injuries. In GF wounds with no detectable microorganisms, a reversed healing rate was noted showing natural scaffold (MAD) accelerated wound repair compared to the open or the synthetic scaffold (PCL) treatment. Furthermore, the response of the wound commensal microbiome to PCL scaffolds appears pivotal in promoting anti-inflammatory factors during diabetic wound healing. Our results emphasize that the wound commensal microbiome, mediated by different scaffolds plays an important role in the wound healing process.

Objective To construct a logistic regression prediction model for stress ulcer(SU)after cerebral hemorrhage.Methods A total of 230 patients with cerebral hemorrhage admitted to our hospital from January 2020 to January 2023 were prospectively selected as the study subjects.They were randomly di-vided into a training group and a validation group using a random number table method,with 115 patients in each group.The incidence of postoperative SU was statistically compared between the two groups.The least absolute shrinkage and selection operator(Lasso)and logistic regression were used to analyze the influencing factors of SU after cerebral hemorrhage,and a logistic regression prediction model was established and valida-ted.Results The incidence of SU was 19.13%in the training group and 20.00%in the validation group.In-crement of age,blood loss≥30 mL,higher levels of neutrophil-to-lymphocyte ratio(NLR),heat shock protein 70(HSP70)and HSP90 were identified as independent risk factors for SU after cerebral hemorrhage(P<0.05),while lower levels of Glasgow Coma Scale(GCS)score and albumin(Alb)were protective factors(P<0.05).The prediction model was logit(P)=0.409×age+1.288×blood loss-1.335×GCS score-1.126×Alb+0.452×NLR+1.483×HSP70+1.593×HSP90-10.325.The areas under the receiver operat-ing characteristic(ROC)curve(AUC)for the training group and the validation group were 0.845(95%CI:0.765-0.906)and 0.855(95%CI:0.777-0.913),respectively.The sensitivities were 81.82%and 90.91%,and the specificities were 76.34%and 70.97%,respectively.Conclusion A logistic regression prediction model was successfully constructed,which has certain predictive value for SU after cerebral hemorrhage.

Objective To investigate the effects of Caenorhabditis elegans(C.elegans)endogenous U6 promoters on dpy-10 gene editing efficiency.Methods We screened endogenous U6 small nuclear RNA(snRNA)genes of C.elegans from the WormBase database and constructed 14 editing plasmids targeting dpy-10 by replacing the U6r07e5.16 promoter in the pSX524 plasmid(Peft-3::cas9::tbb-2 terminator::U6 r07e5.16::dpy-10 sgRNA)through molecular cloning.Gene editing was performed in wild-type C.elegans using a standardized microinjection protocol.Gene editing efficiency and the high-efficiency gene editing index were quantified based on the screening of dpy-10 mutant phenotypes in the F1 progeny.Results A total of 15 U6 snRNA genes(r07e5.16,f35c11.9,t20d3.13,k09b11.15,k09b11.16,w05b2.8,c28a5.7,f54c8.9,k09b11.11,k09b11.12,k09b11.14,t20d3.12,f54c8.8,f54c8.10,and k09b11.13)were identified from the WormBase database.Based on the editing efficiency and high-efficiency gene editing index,the activity of these promoters was evaluated,and 4 U6 promoters(w05b2.8,c28a5.7,f54c8.9,and k09b11.11)were found to have significantly enhanced gene editing success rates,outperforming other promoters,including U6r07e5.16 and U6k09b11.12,which are commonly used in the C.elegans research community.Notably,the gRNAF+E scaffold did not show superior editing efficiency over the gRNA scaffold when paired with the optimal U6w05b2.8 promoter.Conclusion In this study,U6 promoters that significantly improve gene editing efficiency in C.elegans are identified and the critical role of promoter optimization in CRISPR-Cas9 systems is highlighted.These findings provide a valuable foundation for improving genome editing strategies and offer new ideas for optimizing the CRISPR technology applied in nematode research.

Objective To optimize the real-time quantitative polymerase chain reaction(RT-qPCR)data analysis process through mathematical principles by replacing the biased 2-??CT method with a more rigorous 2-CT method,thereby improving the accuracy of gene expression quantification analysis.Methods Essentially,the CT value serves as the exponent in a base-2 exponential equation within the logic of comparative CT method.In the traditional 2-??CT method,the arithmetic means of raw CT and ΔCT values are directly calculated and the exponential nature of CT data is overlooked,which may introduce systematic bias to the calculation results.We propose a new method,entitled the 2-CT method,in which all calculations are based on the transformation of CT values into 2-CT.This includes computing the relative initial expression levels of target and reference genes within each sample,the relative abundance of the target gene,and its fold change across groups.Statistical comparisons are then performed based on fold change values.By strictly adhering to the exponential nature of of CT values,the biases introduced by arithmetic averaging at the CT or ΔCT level are avoided.We applied this method to multiple RT-qPCR datasets to evaluate the differences between the traditional 2-??CT and the proposed 2-CT methods in gene expression quantification,as well as the effect of the differences.Results In the original dataset from LIVAK and SCHMITTGEN,the two methods produced similar results.However,in the cadmium exposure experiment,findings from the 2-??CT method indicated that 8-hour cadmium exposure caused an increase of irg-6 gene expression in Caenorhabditis elegans from 1.314-fold to 7.125-fold(P=0.000 2).In contrast,findings from the 2-CT method showed a fold change from 1.0 to 4.124(P=0.001 5),a 70%difference between the two methods.Conclusion The2-CT method provides a mathematically more rigorous approach that more accurately reflects gene expression changes,particularly in experiments with high CT variability.It offers a more reliable computational paradigm for quantitative gene expression analysis.

Objective: To investigate the expression of ribosomal protein L26 ( RPL26) in gastric cancer cells (GC) and its effect on cell apoptosis and proliferation . Methods: The expression of RPL26 in GES-1 and GC cell lines was detected by Western blot. GC cell line HGC-27 was used to construct RPL26 overexpression cell line , and GC cell lines HGC-27 and AGS cells were used to construct RPL26 knockdown cell line . The overexpression and knockdown efficiency of RPL26 were detected by Western blot. Cell counting kit-8 (CCK-8) , colony formation assay and Transwell assay were used to detect the effects of the overexpression and knockdown of RPL26 on the pro- liferation and migration of GC cells . Western blot was used to detect the expression of Phosphatidylinositol-3-kinase (PI3K) / protein kinase B (AKT) signaling pathway related factors PI3K , AKT , phosphorylated phosphatidylinosi- tol-3-kinase (p-PI3K) , phosphorylated protein kinase B ( p-AKT) and downstream factors B-Cell lymphoma-2 (Bcl-2) , Bcl-2 associated X protein (Bax) and Cyclin A , G1 /S-specific Cyclin D1(Cyclin D1) , Cyclin-depend- ent kinases (CDK)4 and CDK2 in overexpression and knockdown of RPL26 stably transfected cell lines . Results: Compared with GES-1 , RPL26 was highly expressed in HGC-27 cells ( tHGC-27 = 4. 97 ; P < 0. 01) and elevated in AGS , but the difference was not statistically significant. In HGC-27 and AGS cells , CCK-8 and colony formation assays showed that the proliferation ability of cells decreased after the knockdown of RPL26. Transwell assay showed that the migration ability of cells decreased after the knockdown of RPL26. Western blot showed that Bcl-2 expression was decreased in HGC-27 , AGS cells after the knockdown of RPL26 ( tHGC-27 = 11 . 50 , tAGS = 4. 77 ; P < 0. 001 , P < 0. 01) , and Bax expression increased ( tHGC-27 = 9. 63 , tAGS = 4. 05 ; P < 0. 001 , P < 0. 05) . In HGC-27 cells , the ratios of p-PI3K/PI3K and p-AKT/AKT significantly decreased after the knockdown of RPL26 ( tp-PI3K/PI3K = 3 . 86 , tp-AKT/AKT = 8. 29 ; P < 0. 05 , P < 0. 01) . Cyclin A , Cyclin D1 , CDK4 , CDK2 protein expressions de- creased ( t = 9. 61 , 5 . 10 , 11 . 64 , 7. 81 ; P < 0. 01 or P < 0. 001) , while the overexpression of RPL26 in HGC-27 cells showed the opposite trend . Conclusion The knockdown of RPL26 may arrest the cell cycle in G1 /S phase by inhibiting the PI3K/AKT signaling pathway , thereby inhibiting cell proliferation and promoting apoptosis .

Objective To investigate the expression of α7 nicotinic acetylcholine receptor (α7nAChR) in thymic T follicular helper cells (TFH) and its significance in patients with myasthenia gravis (MG). Methods Fifteen MG patients who underwent surgical treatment at the Myasthenia Gravis Comprehensive Diagnosis and Treatment Center of Henan Provincial People’s Hospital from June 2022 to June 2023 were selected as a MG group, including 7 males and 8 females, aged 12-30 years. Twelve patients who underwent partial thymectomy to optimize surgical field exposure during cardiac surgery at Fuwai Central China Cardiovascular Hospital from June 2022 to June 2023 were selected as a control group, including 5 males and 7 females aged 20-35 years. Thymus single cell suspension was obtained by grinding the thymus tissue, and flow cytometry was used to detect the expression of α7nAChR in TFH cells. The thymus cell suspension was purified using density gradient centrifugation, followed by immunomagnetic bead separation to obtain CD4+T cells. CXCR5 antibody and coupled magnetic beads were added to isolate TFH cells. Real-time fluorescent polymerase chain reaction and Western blotting were performed to further investigate the expression of α7nAChR in TFH cells. Results Compared with the control group, the proportion of thymic TFH cells in the MG group was significantly increased (P<0.05), along with significantly decreased mRNA and protein expression levels of α7nAChR within these cells (P<0.01). Conclusion The findings suggest that there is a reduced expression of α7nAChR within thymic TFH cells in MG patients, leading to weakened immunosuppressive function which may indirectly contribute to disease onset and progression.

It has been proposed by Basic Questions On Proper Therapies for Different Diseases Geographically （《素问·异法方宜论篇》） that "wei （痿） diseases should be treated by Daoyin （导引）". Furthermore， it is clarified that the indications of Daoyin are those conditions related to spleen and dampness caused by dampness pathogen， excessive food intake and less exercise， and mainly manifested as heavy limbs， fatigue and flaccidity， which is similar to the metabolic imbalance in the early stage of glucose or lipid metabolism disorder in modern medicine. Based on modern clinical and basic research evidence， Daoyin can inhibit the response of inflammation， alleviate oxidative stress， regulate intestinal microbiota， and modulate gene expression to improve metabolic abnormalities， and this will provide ideas for researches on the indications of Daoyin.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

Objective:To investigate the predictive value of differential distribution of peripheral lymphocyte subsets before and after the first 131I treatment on the therapeutic response to 131I treatment in patients with papillary thyroid cancer (PTC). Methods:A retrospective study was conducted on 46 PTC patients (16 males, 30 females, age 20-77 years) who underwent total thyroidectomy and received 131I treatment between January 2021 and August 2021 in First Hospital of Shanxi Medical University. Peripheral blood lymphocyte subsets (T, B, CD4 + T, CD8 + T, natural killer (NK), helper T (Th)1, Th2, Th17, and regulatory T (Treg) cells) were measured 1-2 d before and 30 d after 131I treatment. Based on serological and imaging evidence, therapeutic response at 6-12 months post- 131I therapy was categorized as either excellent response (ER) or non-excellent response (NER). Differences of preablative stimulated thyroglobulin (psTg) and clinical baseline characteristics between two groups were assessed by using independent-sample t test, paired t test, or Mann-Whitney U test. Predictive value of lymphocyte subsets before and after 131I treatment for therapeutic response was assessed through logistic regression analysis, ROC curve analysis, and decision curve analysis (DCA). Results:In ER group ( n=33) and NER group ( n=13), most lymphocyte subsets showed different degrees of reduction 30 d after 131I treatment compared to before 131I treatment, such as T, B, CD4 + T and Th1 cells in ER group, as well as T, B, CD4 + T, Th1, Th2, Th17, and Treg cells in NER group ( t values: 2.41-9.57, all P<0.05). Before 131I treatment, NER group had significantly higher levels of psTg, Th2, Th17, and Treg cells compared to the ER group ( t values: from -3.32 to -2.48, U=29.00, all P<0.05). After 131I treatment, most of lymphocyte subsets in NER group (T, B, CD4 + T, CD8 + T, Th1 and Treg cells) showed higher trend than those in ER group but without statistical significances ( t values: from -1.12 to -0.06, all P>0.05). Th2 cells before 131I treatment (odds ratio ( OR)=25.00, 95% CI: 1.36-459.10, P=0.030) was identified as a risk factor for NER. ROC curve analysis indicated that AUCs of psTg and Th2 cells for predicting therapeutic response were 0.932 and 0.790, respectively, which was 0.958 for the combined psTg and Th2 cells. DCA showed that within the threshold probability range of 10%-60%, the curves for psTg, Th2 cells, and the combined psTg and Th2 cells were all higher than the extreme curve, suggesting good effect. Conclusions:Most lymphocyte subsets decrease to varying degrees, and NER group shows a significant decrease 30 d after 131I treatment. Th2 cells may be a risk factor for poor response to 131I treatment, providing a certain value in predicting the therapeutic response to 131I treatment.