Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Objective To explore the clinical factors influencing complete response in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (nCRT). Methods Clinical data of LARC patients treated in the Department of Radiation Oncology at Beijing Shijitan Hospital between January 2013 and December 2024 were retrospectively collected. All patients received nCRT, after which surgery or a watch-and-wait approach was adopted based on treatment response. Univariable and multivariable logistic regression analyses were performed to identify prognostic factors influencing complete response. A clinical prediction model was constructed based on the multivariable analysis results, and its predictive performance was evaluated using the receiver operating characteristic curve. Results A total of 113 eligible patients were included. After nCRT, 19 patients (16.8%) achieved complete response, including 3 with clinical complete response and 16 with pathological complete response. Univariable analysis indicated that pretreatment clinical N stage, extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen were associated with complete response after nCRT (P<0.05). Multivariable logistic regression analysis identified pretreatment extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen as independent influencing factors for complete response (P<0.05). A prediction model incorporating these independent factors yielded an area under the receiver operating characteristic curve of 0.813 (95% confidence interval: 0.713-0.913), with a sensitivity of 89.5% and a specificity of 60.6%, demonstrating good predictive performance. Conclusion Pretreatment extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen are independent factors influencing complete response after nCRT in LARC patients. The prediction model combining these factors may assist in evaluating treatment efficacy following nCRT in LARC patients.

ObjectiveTo investigate the effect of bone morphogenetic protein 3 （BMP3） on the expression of inflammatory factors and joint damage in adjuvant arthritis （AA） induced by Freund′s complete adjuvant （FCA） in rats. MethodsThe AIA model was established in SD rats by intradermal injection of FCA into the toes of the left hind limb， and BMP3 overexpressing adenovirus （Ad-BMP3） or control adenovirus （Ad-NC） was injected in situ into the knee joint cavity on day 8 after modeling. Subsequently， HE staining was used to observe the histopathological changes in the synovium， immunohistochemistry was used to detect the expression of BMP3 in the synovium， and ELISA was used to analyze the expression levels of IL-6， IL-1β and TNF-α in the serum. Primary fibroblast-like synoviocytes （FLS） were isolated from AIA rats， the expression of BMP3 in FLS was knocked down or overexpressed， and Western blot and qRT-PCR were used to detect the expression levels of BMP3 and inflammatory factors in FLS. ResultsHE staining confirmed the successful establishment of the AIA model. Compared with normal rats， AIA rats showed decreased BMP3 expression in synovial tissue. Knockdown of BMP3 promoted the protein expression of inflammatory factors （IL-6， IL-1β， IL-17A， TNF-α） and the mRNA expression of chemokines ［C-C motif chemokine ligand 2 （CCL2）， C-C motif chemokine ligand 3 （CCL3）， Vascular Cell Adhesion Molecule-1 （VCAM-1）］ in FLS. In contrast， overexpression of BMP3 suppressed the expression of these inflammatory factors and chemokines. Intra-articular injection of BMP3-overexpressing adenovirus in AIA rats upregulated BMP3 expression in synovial tissue and inhibited synovial inflammation and bone erosion. ConclusionBMP3 suppresses the production of inflammatory factors and chemokines in FLS， thereby alleviating synovial hyperplasia and bone erosion in arthritis.

Exosomes are ubiquitous in all types of body fluids, exhibiting a high degree of abundance and diversity. Given their distinctive structure and function, exosomes are involved in a range of life activities, including intercellular communication, material transport, and immune regulation. An increasing number of studies have identified exosomes as a source of diagnostic markers for diabetic retinopathy. Furthermore, exosomes represent a novel avenue for therapeutic intervention, with promising clinical applications. This paper examines the diagnostic and therapeutic mechanisms of exosomes in diabetic retinopathy, reviews the advancements in exosomes-based diagnostics and therapeutics for diabetic retinopathy, and aims to enhance the precision and efficiency of clinical diagnosis and treatment of diabetic retinopathy.

Objective To investigate the distribution characteristics of treatment time for total marrow irradiation (TMI) or total marrow and lymphoid irradiation (TMLI) based on helical tomotherapy, establish a time parameter framework for the application of TMI/TMLI techniques, and provide a basis for optimizing clinical treatment efficiency, predicting patient tolerance, and streamlining workflow. Methods A retrospective analysis was conducted on 57 patients who received TMI/TMLI using helical tomotherapy between November 2024 and July 2025. Patients were stratified by height ( ≤ 130 cm group vs. > 130 cm group). Megavoltage computed tomography scanning time, beam-on time, and total treatment time were recorded. The relationship between height and treatment time was analyzed using Spearman correlation analysis. An independent samples t-test was used to compare treatment time between TMI and TMLI modes. Results In the ≤ 130 cm group, the mean megavoltage computed tomography scanning time, beam-on time, and total treatment time per fraction were (9.67 ± 1.47), (39.96 ± 9.08), and (49.63 ± 10.16) minutes, respectively. In the > 130 cm group, the corresponding times were (14.52 ± 1.17), (60.45 ± 11.19), and (74.97 ± 11.82) minutes, respectively. Treatment time was positively correlated with height (r = 0.756, P < 0.001). Among patients taller than 130 cm, there was no statistically significant difference in treatment time between the TMI and TMLI (P > 0.05). Conclusion Although helical tomotherapy requires a relatively long treatment time, its technical characteristics are well-suited for the extensive and complex target volumes involved in TMI/TMLI. Future technological upgrades and standardized stratification hold promise for enhancing both efficiency and precision, thereby expanding clinical applicability.

Objective To study the management effect of the intelligent management mode of anesthet-ic medicine box.Methods The intelligent reconstruction of the management mode of anesthesia box in the de-partment of surgical anesthesiology was carried out,and the differences in the taking and return time in 3-month before and after applying the medicine box intelligent management,error rate,and information tracking were compared,and the management effect of the medicine box was compared between the intelligent manage-ment and the traditional mode.Results The prescription modification rate,accounting error rate,discrepancy rate of person and box,and omission rate of registration had statistical differences between the traditional management mode and intelligent management mode(P<0.05).The single medicine box management work-ing time for anesthetist getting the medicine box,returning the medicine box,taking the refrigerator medicine,generating prescription and charge in intteligent management mode was shortened compared with the tradi-tional management mode,and the difference was statistically significant(P<0.05);the working time of drug management such as drug counting,prescription checking,registration records checking,drug adding and daily inventory checking in the intelligent management mode was shortened compared with the traditional manage-ment mode,and the difference was statistically significant(P<0.05).Conclusion Compared with the tradi-tional mode,the anesthetic box management intelligent mode has high efficiency and strong reliability,moreo-ver is more conducive to the standardized management of anesthetic drugs in the operating room.

ObjectiveTo explore the effect of timosaponin BⅡ （TBⅡ） combined with icariin （ICA） on osteoclast （OC）-osteoblast （OB） coupling and decipher the mechanism from the cellular level. MethodsThe cell counting kit-8 （CCK-8） was used to assess the effects of different concentrations of TBⅡ and different concentrations of TBⅡ+ICA on the growth of RAW264.7 cells. Soluble receptor activator of nuclear factor-κB ligand （sRANKL） was used to induce the differentiation of RAW264.7 pre-osteoclasts into osteoclasts. The cells were allocated into sRANKL， TBⅡ （1， 5， 10 μmol·L^-1）， and TBⅡ+ICA groups. Tartrate-resistant acid phosphatase staining was performed to assess the effects of TBⅡ and TBⅡ+ICA on osteoclast differentiation. Real-time quantitative polymerase chain reaction （Real-time PCR） was conducted to examine the effects of TBⅡ+ICA on the expression of key genes involved in osteoclast differentiation and osteoclast-derived coupling factors. The osteogenic differentiation conditioned medium mixed with osteoclast supernatant was used to induce osteogenic differentiation of MC3T3-E1 cells. Alkaline phosphatase staining and alizarin red S staining were employed to determine the effect of TBⅡ+ICA on osteogenic differentiation. Real-time PCR was employed to evaluate the effects of conditioned medium on key genes involved in osteogenic differentiation. ResultsTBⅡ at 1， 5， 10 μmol·L^-1 had no significant effect on the cell survival rate. Compared with the sRANKL group， TBⅡ inhibited osteoclast differentiation in a dose-dependent manner and achieved the best effect at 10 μmol·L^-1 （P<0.01）. Compared with the sRANKL group， different concentrations of TBⅡ down-regulated the mRNA levels of osteoclast differentiation-related genes c-Fos， RANK， and RANKL （P<0.05）. None of 10 μmol·L^-1 TBⅡ， 10 μmol·L^-1 TBⅡ+10^-4 μmol·L^-1 ICA， or 10 μmol·L^-1 TBⅡ+10^-3 μmol·L^-1 ICA affected the viability of RAW264.7 cells. TBⅡ and/or ICA inhibited osteoclast differentiation （P<0.01）， and TBⅡ + ICA had the best effect （P<0.01）. Compared with the sRANKL group， TBⅡ and/or ICA down-regulated the mRNA levels of c-Fos， RANK， and RANKL （P<0.05）. The single application of TBⅡ and ICA had no significant effect on the mRNA levels of Wnt10b， Cthrc1， and C3a， while TBⅡ+ICA exerted up-regulating effects （P<0.05）. Compared with those in the blank group， the bone differentiation and mineralization abilities of the normal osteogenic induction group and each osteogenic induction + osteoclast supernatant group were improved （P<0.01）. Compared with the blank group， the normal osteogenic induction group and the osteogenic induction + osteoclast supernatant group showed up-regulated mRNA levels of Runx2 and OCN （P<0.01）. ConclusionTBⅡ+ICA can inhibit osteoclast differentiation， maintain the normal osteoclast-osteoblast coupling， and promote osteogenic differentiation.

Objective:To establish a detection method for fatty acid composition and methoxylaniline value in pharmaceutical excipient castor oil.Methods:The detection of fatty acid composition involves pre-test of the sam-ple using the methanol sodium methylation method,followed by direct injection analysis using gas chromatography,and finally calculating the content of each fatty acid composition using the area normalization method with correction factors.The detection of methoxylaniline value is achieved by dissolving and diluting the sample with isooctane:isopropanol(8∶2,volume ratio),reacting with 4-methoxylaniline,measuring the absorbance at a wavelength of 350 nm,and calculating the methoxylaniline value.Results:Under the composition of fatty acids,the 8 kinds of fatty acids have good separation degree.The methyl ricinoleate and methyl stearate have good linear relationship in the range of 0.1-5.0 mg·mL-1.The repeatabilityand intermediate precision(RSD)ofthe determination results of each fatty acid in the sample are all less than 5%.It is also found that only α-type of linolenic acid is present in castor oil,without γ-type.In the determination of methoxyaniline value,the blank solvent does not interfere with the determination of the sample,and the repeatability RSD is 3.6%.Conclusion:The detection method for fatty acid composition and meth-oxylaniline value established in this article is accurate and reliable,and can be used for the detection of fatty acid composition and methoxylaniline value in pharmaceutical excipient castor oil.

OBJECTIVES: To explore the association between GPSM2 expression level and gastric cancer progression and analyze the functional pathways and action mechanism of GPSM2. METHODS: We analyzed GPSM2 expression levels in gastric cancer tumors based on data from the GEPIA database and the clinical data of 109 patients. Public databases enrichment analysis were used to assess the impact of GPSM2 expression level on survival outcomes and the functional pathways and action mechanism of GPSM2. We further observed the effects of GPSM2 knockdown and overexpression on proliferation, migration and apoptosis of MGC803 cells using CCK-8 assay, colony formation assay, flow cytometry and immunoblotting and on the growth of MGC803 cell xenografts in nude mice. RESULTS: Bioinformatic analysis and immunohistochemical staining of the clinical specimens both revealed high GPSM2 expressions in gastric cancer (P<0.01). A high GPSM2 expression was significantly correlated with T3-4 stages, N2-3 stages, a carcinoembryonic antigen (CEA) level ≥5 μg/L, and a carbohydrate antigen (CA) 19-9 level ≥37 kU/L (P<0.05). Cox regression analysis identified high GPSM2 expression as an independent risk factor affecting 5-year survival of the patients (P<0.05). Gene ontology (GO) analysis suggested that GPSM2 was involved in cell cycle regulation. In MGC803 cells, GPSM2 overexpression significantly promoted cell proliferation and G1/S transition and xenograft growth in nude mice. KEGG pathway enrichment analysis indicated that GPSM2 executed its biological functions by regulating the p53 signaling pathway, which was confirmed by the results of immunoblotting experiments showing suppression of p53 signaling pathway activity in GPSM2-over expressing MGC803 cells. CONCLUSIONS GPSM2 is highly expressed in gastric cancer to affect patient prognosis by promoting tumor cell proliferation and G1/S transition possibly via inhibiting the p53 pathway.
Stomach Neoplasms/metabolism* ; Humans ; Cell Proliferation ; Prognosis ; Animals ; Mice, Nude ; Cell Line, Tumor ; Mice ; Apoptosis ; Tumor Suppressor Protein p53/metabolism* ; Cell Movement

OBJECTIVES: To analyze MYO1B expression in gastric cancer, its association with long-term prognosis and its role in regulating biological behaviors of gastric cancer cells. METHODS: We analyzed MYO1B expression in gastric cancer and its correlation with tumor grade, tumor stage, and patient survival using the Cancer Public Database. We also examined MYO1B expression with immunohistochemistry in gastric cancer and paired adjacent tissues from 105 patients receiving radical surgery and analyzed its correlation with cancer progression and postoperative 5-year survival of the patients. GO and KEGG enrichment analyses were used to explore the biological functions of MYO1B and the key pathways. In cultured gastric cancer cells, we examined the changes in cell proliferation, migration and invasion following MYO1B overexpression and knockdown. RESULTS: Data from the Cancer Public Database showed that MYO1B expression was significantly higher in gastric cancer tissues than in normal tissues with strong correlations with tumor grade, stage and patient prognosis (P<0.05). In the clinical tissue samples, MYO1B was significantly overexpressed in gastric cancer tissues in positive correlation with Ki67 expression (r=0.689, P<0.05) and the parameters indicative of gastric cancer progression (CEA ≥5 μg/L, CA19-9 ≥37 kU/L, G3-4, T3-4, and N2-3) (P<0.05). Kaplan-Meier analysis and multivariate Cox regression analysis suggested that high MYO1B expression was associated with decreased postoperative 5-year survival and was an independent risk factor (HR: 3.522, 95%CI: 1.783-6.985, P<0.05). MYO1B expression level was a strong predictor of postoperative survival (cut-off value: 3.11, AUC: 0.753, P<0.05). GO and KEGG analyses suggested that MYO1B may regulate cell migration and the mTOR signaling pathway. In cultured gastric cancer cells, MYO1B overexpression significantly enhanced cell proliferation, migration, and invasion and promoted the phosphorylation of Akt and mTOR. CONCLUSIONS High MYO1B expression promotes proliferation, migration and invasion of gastric cancer cells and is correlated with poor patient prognosis.
Humans ; Stomach Neoplasms/metabolism* ; Cell Proliferation ; Prognosis ; Cell Movement ; Myosin Type I/genetics* ; Neoplasm Invasiveness ; Cell Line, Tumor ; Female ; Male