AIM:To observe the effect of cationic nanoemulsion eye drops on the tear film and ocular surface morphology of orthokeratology wearers, and to provide a basis for the clinical selection of eye drops during orthokeratology wear. METHODS:A prospective study was conducted on patients with refractive errors who were fitted with orthokeratology lenses for the first time at Anhui Aier Eye Hospital,from February 2025 to October 2025. Patients were randomly assigned to the experimental group, which received a cationic nanoemulsion eye drops, or the control group, which received a 0.1% sodium hyaluronate eye drops. One drop of the assigned lubricant was instilled in each eye before lens insertion and before lens removal in both groups for 3 consecutive months. Uncorrected visual acuity, spherical equivalent, anterior corneal curvature, tear film break-up time, tear film lipid layer score, and corneal fluorescein staining score were compared between the two groups at baseline and at 1 wk, 1 and 3 mo after lens wear. RESULTS: A total of 64 eyes(all right eyes)from 64 patients with refractive errors were enrolled. Ultimately, 60 patients completed the final follow-up, including 30 in the experimental group(n=30; male/female: 14/16; age: 9.57±1.07 y)and the control group(n=30; male/female: 12/18; age: 9.43±1.01 y). No significant intergroup differences were found in uncorrected visual acuity, spherical equivalent, anterior corneal curvature, or corneal fluorescein staining scores either before or after lens wear(all P>0.05).The tear film break-up time was significantly longer and tear film lipid layer score was significantly better in the experimental group than in the control group at post-wear time point(all P<0.05). Uncorrected visual acuity, spherical equivalent, and anterior corneal curvature improved significantly from baseline at 1 wk, 1 and 3 mo after lens wear in both groups(all P<0.05). Corneal fluorescein staining scores increased significantly from baseline at 1 wk and 1 mo in the control group(both P<0.05), whereas no significant change was observed in the experimental group. No cases of severe corneal injury(score of 3)were found in either group. CONCLUSION: Cationic nanoemulsion eye drops have a similar effect to 0.1% sodium hyaluronate eye drops in improving the visual acuity and corneal morphology of orthokeratology wearers, but have more advantages in stabilizing the tear film and improving the state of the tear film lipid layer, and have good safety, so they can be used as an ideal choice of eye drops for orthokeratology wearers.

ObjectiveThis study aimed to investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through regulating ferroptosis， and to screen key metabolites and analyze their association with ferroptosis. MethodsClinical samples of normal endometrium from patients without EMs and eutopic and ectopic endometrium from EMs patients （10 cases each） were collected and divided into control group， eutopic group， and EMs group. Hematoxylin-eosin （HE） staining was performed to observe ectopic lesions of EMs. Immunohistochemistry was used to detect the expression of solute carrier family 7 member 11 （SLC7A11） and glutathione peroxidase 4 （GPX4）. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of malondialdehyde （MDA）， ferrous ion （Fe²⁺）， GPX4 and glutathione （GSH） in endometrial tissues， as well as serum levels of Fe²⁺， GPX4 and GSH. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of SLC7A11， GPX4， transferrin receptor （TFR） and ferritin heavy chain 1 （FTH1）. In the in vitro experiment， primary stromal cells were isolated from ectopic lesions of EMs patients. Cell counting kit-8 （CCK-8） was used to determine the optimal concentration of drug-containing serum for intervention. The level of reactive oxygen species （ROS） was measured， and Real-time PCR was applied to detect ferroptosis-related indicators. In the animal experiments， an EM rat model was established， and the rats were randomly assigned to the sham operation group， EMs group， low-dose Luoshi Neiyi Formula group （7.87 g·kg^-1）， high-dose Luoshi Neiyi prescription group （15.74 g·kg^-1）， and danazol group （42 mg·kg^-1）. Untargeted metabolomics detection and pathway enrichment analysis were conducted on serum samples from patients and rats. Spearman correlation analysis was performed to assess the relationship between differential metabolites and ferroptosis indicators. The correlations between differential metabolites in patient endometrium and serum and key ferroptosis indicators （GPX4， Fe²⁺， MDA， GSH） as well as ferroptosis-related mRNAs （GPX4， SLC7A11， FTH1） were analyzed， and correlation heatmaps were generated accordingly. ResultsCompared with normal eutopic endometrium， ectopic lesions in EMs patients showed glandular disorganization and stromal fibrosis. In ectopic endometrium， the contents of MDA， ROS， and Fe²⁺ decreased， while GPX4 level increased， and the mRNA expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. In serum， the levels of GPX4 and Fe²⁺ were elevated， whereas the GSH level declined， suggesting abnormalities in ferroptosis-related pathways in ectopic lesions （P<0.05， P<0.01）. After intervention with Luoshi Neiyi prescription-containing serum， the intracellular ROS level in ectopic endometrial stromal cells was elevated， the mRNA expression of SLC7A11 and GPX4 was downregulated， and TFR mRNA expression was upregulated （P<0.05， P<0.01）. Metabolomics analysis revealed 1104 and 198 differential metabolites in EMs patients and EMs rats， respectively， compared with their corresponding control groups， and both low-dose and high-dose Luoshi Neiyi prescription were found to regulate this metabolic disturbance， with the core regulatory pathways mainly involving arginine and proline metabolism. Correlation analysis showed that the glycerophospholipids including PI（16∶0/17∶0） and PI［18∶2（9Z，12Z）］ were negatively correlated with GPX4 and positively correlated with MDA， while 17α-hydroxyprogesterone was positively correlated with GPX4， SLC7A11， and FTH1 q<0.05）. ConclusionLuoshi Neiyi prescription may systematically ameliorate disease-associated metabolic dysregulation via modulation of the serum arginine and proline metabolism pathway， and may regulate ferroptosis in ectopic lesions through a mechanism potentially linked to the serum glycerophospholipid and steroid metabolism pathways. Collectively， these findings provide experimental evidence for the clinical application of Luoshi Neiyi prescription.

ObjectiveThis study aimed to investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through regulating ferroptosis， and to screen key metabolites and analyze their association with ferroptosis. MethodsClinical samples of normal endometrium from patients without EMs and eutopic and ectopic endometrium from EMs patients （10 cases each） were collected and divided into control group， eutopic group， and EMs group. Hematoxylin-eosin （HE） staining was performed to observe ectopic lesions of EMs. Immunohistochemistry was used to detect the expression of solute carrier family 7 member 11 （SLC7A11） and glutathione peroxidase 4 （GPX4）. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of malondialdehyde （MDA）， ferrous ion （Fe²⁺）， GPX4 and glutathione （GSH） in endometrial tissues， as well as serum levels of Fe²⁺， GPX4 and GSH. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of SLC7A11， GPX4， transferrin receptor （TFR） and ferritin heavy chain 1 （FTH1）. In the in vitro experiment， primary stromal cells were isolated from ectopic lesions of EMs patients. Cell counting kit-8 （CCK-8） was used to determine the optimal concentration of drug-containing serum for intervention. The level of reactive oxygen species （ROS） was measured， and Real-time PCR was applied to detect ferroptosis-related indicators. In the animal experiments， an EM rat model was established， and the rats were randomly assigned to the sham operation group， EMs group， low-dose Luoshi Neiyi Formula group （7.87 g·kg^-1）， high-dose Luoshi Neiyi prescription group （15.74 g·kg^-1）， and danazol group （42 mg·kg^-1）. Untargeted metabolomics detection and pathway enrichment analysis were conducted on serum samples from patients and rats. Spearman correlation analysis was performed to assess the relationship between differential metabolites and ferroptosis indicators. The correlations between differential metabolites in patient endometrium and serum and key ferroptosis indicators （GPX4， Fe²⁺， MDA， GSH） as well as ferroptosis-related mRNAs （GPX4， SLC7A11， FTH1） were analyzed， and correlation heatmaps were generated accordingly. ResultsCompared with normal eutopic endometrium， ectopic lesions in EMs patients showed glandular disorganization and stromal fibrosis. In ectopic endometrium， the contents of MDA， ROS， and Fe²⁺ decreased， while GPX4 level increased， and the mRNA expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. In serum， the levels of GPX4 and Fe²⁺ were elevated， whereas the GSH level declined， suggesting abnormalities in ferroptosis-related pathways in ectopic lesions （P<0.05， P<0.01）. After intervention with Luoshi Neiyi prescription-containing serum， the intracellular ROS level in ectopic endometrial stromal cells was elevated， the mRNA expression of SLC7A11 and GPX4 was downregulated， and TFR mRNA expression was upregulated （P<0.05， P<0.01）. Metabolomics analysis revealed 1104 and 198 differential metabolites in EMs patients and EMs rats， respectively， compared with their corresponding control groups， and both low-dose and high-dose Luoshi Neiyi prescription were found to regulate this metabolic disturbance， with the core regulatory pathways mainly involving arginine and proline metabolism. Correlation analysis showed that the glycerophospholipids including PI（16∶0/17∶0） and PI［18∶2（9Z，12Z）］ were negatively correlated with GPX4 and positively correlated with MDA， while 17α-hydroxyprogesterone was positively correlated with GPX4， SLC7A11， and FTH1 q<0.05）. ConclusionLuoshi Neiyi prescription may systematically ameliorate disease-associated metabolic dysregulation via modulation of the serum arginine and proline metabolism pathway， and may regulate ferroptosis in ectopic lesions through a mechanism potentially linked to the serum glycerophospholipid and steroid metabolism pathways. Collectively， these findings provide experimental evidence for the clinical application of Luoshi Neiyi prescription.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To explore the applicative value of spectral CT in increasing positive rates of lung cancer puncture and reducing complications during CT guided percutaneous transthoracic needle biopsy(PTNB).Methods The pathological results and complica-tion incidences of 260 PTNB patients were analyzed retrospectively.All patients were divided into three groups:group A(conventional CT group,103 cases)used a scheme based on conventional enhanced CT;group B(PET/CT group,84 cases)used a scheme combining the maximum standardized uptake value(SUVmax)with conventional enhanced CT;group C(spectral CT group,73 cases)used a scheme of quantitative spectral CT parameters and images.Results Group A included 103 cases in total,of which 87 were positive(84.47％),41 pneumothorax(39.81％),and 31 hemorrhage(30.10％).Group B totaled 84 cases,including 82 positive cases(97.62％),19 cases of pneumothorax(22.62％),and 11 cases of hemorrhage(13.10％).Group C was of 73 cases,including 70 positive cases(95.89％),16 cases of pneumothorax(21.92％),and 10 cases of hemorrhage(13.70％).There were statistically significant differ-ences in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences among groups A,B,and C(P＜0.05).There were also statistically significant differences in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences between groups A and B or groups A and C(P＜0.016 7),respectively.However,no statistically significant differences were found between groups B and C in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences(P＞0.016 7).Conclusion Spectral CT can improve the positive rate of lung cancer and reduce the risk of pneumothorax and hemorrhage with PTNB.

Objective To explore the applicative value of spectral CT in increasing positive rates of lung cancer puncture and reducing complications during CT guided percutaneous transthoracic needle biopsy(PTNB).Methods The pathological results and complica-tion incidences of 260 PTNB patients were analyzed retrospectively.All patients were divided into three groups:group A(conventional CT group,103 cases)used a scheme based on conventional enhanced CT;group B(PET/CT group,84 cases)used a scheme combining the maximum standardized uptake value(SUVmax)with conventional enhanced CT;group C(spectral CT group,73 cases)used a scheme of quantitative spectral CT parameters and images.Results Group A included 103 cases in total,of which 87 were positive(84.47％),41 pneumothorax(39.81％),and 31 hemorrhage(30.10％).Group B totaled 84 cases,including 82 positive cases(97.62％),19 cases of pneumothorax(22.62％),and 11 cases of hemorrhage(13.10％).Group C was of 73 cases,including 70 positive cases(95.89％),16 cases of pneumothorax(21.92％),and 10 cases of hemorrhage(13.70％).There were statistically significant differ-ences in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences among groups A,B,and C(P＜0.05).There were also statistically significant differences in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences between groups A and B or groups A and C(P＜0.016 7),respectively.However,no statistically significant differences were found between groups B and C in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences(P＞0.016 7).Conclusion Spectral CT can improve the positive rate of lung cancer and reduce the risk of pneumothorax and hemorrhage with PTNB.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective: A retrospective, multi-center propensity score-matched (PMS) analysis was conducted to investigate the efficacy and safety of the treatment strategy that combines bevacizumab and chemotherapy for patients with relapsed epithelial ovarian cancer (EOC) who previously received poly ADP-ribose polymerase inhibitors (PARPis). Methods: A total of 250 ovarian cancer (OC) patients relapsed after PARPi received chemotherapy with or without bevacizumab at 4 medical centers were enrolled in the study.For both treatments, Kaplan-Meier analysis and Cox regression were used to compare PFS. Results: In the multivariable analysis of 250 patients, the incorporation of bevacizumab into chemotherapy demonstrated a significant enhancement in PFS (hazard ratio [HR]=0.49;95% confidence interval [CI]=0.34–0.72; p<0.001). Fifty-five patients were enrolled in Group A (bevacizumab combined with chemotherapy) and 55 were enrolled in Group B (chemotherapy alone regime) after PSM analysis. A statistically significant difference in PFS was observed between the 2 regimens (HR=0.62; 95% CI=0.40–0.97; p=0.036), suggesting that the bevacizumab combined with chemotherapy regimen confers superior clinical benefits. The median PFS was 11 months in Group A and 9 months in Group B. A significant variation was noted in PFS between patients without RCRS (HR=0.50; 95% CI=0.30–0.82) and the platinum-resistant subgroup (HR=0.31; 95% CI=0.14–0.68). Adverse effects of Grade 3–4 were more prevalent in Group A than in Group B. Additionally, instances of severe hypertension and bowel perforation were reported solely within Group A. Conclusion In patients diagnosed with EOC relapsed after PARPi, the regime of chemotherapy combined with bevacizumab is associated with better PFS.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.