[摘 要] 目的：明确线粒体DNA（mtDNA）部分缺失对结肠上皮细胞NCM460的影响。方法：通过溴化乙锭（EB）诱导建立mtDNA部分缺失细胞模型（mtDNA-reduced）及恢复模型（reverted），采用CCK-8、活性氧（ROS）及线粒体膜电位检测评估线粒体功能，通过葡萄糖、乳酸及糖酵解关键酶活性检测评估代谢表型，通过Transwell实验及WB法检测细胞侵袭及上皮-间质转化（EMT），通过polyHEMA包被培养检测失巢凋亡抵抗能力；检测PI3K/Akt/mTOR信号通路及程序性死亡配体1（PD-L1）表达，并通过PI3K抑制剂LY294002验证。结果：GEPIA数据库分析显示mtDNA编码基因在结直肠癌中低表达（P < 0.05）；组织芯片显示COX1蛋白在正常结肠组织高表达，在癌组织中低表达（P < 0.05）。mtDNA-reduced NCM460细胞线粒体功能受损（生长速率下降、ROS生成减少、线粒体膜电位降低，P < 0.05），呈现Warburg效应（葡萄糖摄取增加、乳酸分泌增多、糖酵解关键酶活性增强，P < 0.05），侵袭能力增强（P < 0.05）且发生EMT，并抵抗失巢凋亡（P < 0.05）。该细胞PI3K/Akt/mTOR通路激活且PD-L1表达上调；经LY294002处理后，葡萄糖含量有降低趋势（P > 0.05）、细胞活性下降（P < 0.05），PD-L1表达下调（P < 0.05）。结论：结肠上皮细胞NCM460中mtDNA部分缺失可诱导其恶性转化及免疫逃逸。

AIM:To evaluate the clinical efficacy of three types of spectacle lenses with different peripheral microstructure designs in controlling myopia progression among children.METHODS: Retrospective case analysis was conducted. Children diagnosed with myopia aged 6 to 12 y who were received initial spectacle fitting and completed 1-year follow-up at the Optometry Clinic of Suining Central Hospital between January 2023 and August 2024 were enrolled. Only right eye data of all subjects were included for analysis. Based on the type of spectacle lenses independently selected by the children and their parents/guardians, they were divided into four groups: diffusion optics technology(DOT), cylindrical annular refractive element(CARE), highly aspherical lenslets(HAL), and single-vision lenses(SVL). Changes in axial length(AL)and spherical equivalent(SE)from baseline were observed after 1-year lens wear in four groups. Variations between three peripheral microstructure-designed spectacles and single-vision spectacles were compared. The effects of different lens designs on spherical power, astigmatism, corneal curvature, corneal astigmatism, anterior chamber depth, lens thickness, and vitreous cavity depth were analyzed.RESULTS:In this retrospective study, a total of 118 eyes from 118 myopic children were included. There were 28 eyes in 28 children in DOT group [16 males and 12 females, age 10(9, 12)y]. CARE group contained 26 eyes in 26 children, [12 males and 14 females, age 11(9, 12)y]. HAL group had 26 eyes in 26 children [16 males and 10 females, age 10(9, 11)y]. SVL group included 38 eyes in 38 children [20 males and 18 females, age 11(9, 12)y]. There were no significant differences in age, gender, baseline AL, or SE among the four groups(all P>0.05). After 1-year wearing, no increase and slight regression were observed in AL and SE in the DOT group, with no significant differences compared with baseline(all P>0.05). AL and SE increased to varying degrees in the CARE, HAL and SVL groups(all P<0.01). Significant inter-group differences were found in the changes of AL and SE(F=22.820, 30.949, both P<0.001). The mean changes in AL and SE for the DOT group(-0.034±0.180 mm, 0.040±0.243 D)were significantly smaller than those in the CARE group(0.225±0.174 mm, -0.375±0.308 D)and the HAL group(0.147±0.130 mm, -0.255±0.256 D). The changes of AL and SE in the three groups were significantly lower than those in the SVL group(0.355±0.240 mm, -0.891±0.592 D)(all P<0.05).CONCLUSION: In children, short-term wear of spectacles with peripheral microstructural design demonstrates better myopia control efficacy compared to single-vision spectacles. DOT lenses show superior short-term efficacy compared with CARE and HAL lenses.

Increasing evidence showed that histone deacetylase 6(HDAC6)dysfunction is directly associated with the onset and progression of various diseases,especially cancers,making the development of HDAC6-targeted anti-tumor agents a research hotspot.In this study,artificial intelligence(AI)technology and molecular simulation strategies were fully integrated to construct an efficient and precise drug screening pipeline,which combined Voting strategy based on compound-protein interaction(CPI)prediction models,cascade molecular docking,and molecular dynamic(MD)simulations.The biological potential of the screened compounds was further evaluated through enzymatic and cellular activity assays.Among the identified compounds,Cmpd.18 exhibited more potent HDAC6 enzyme inhibitory activity(IC50=5.41 nM)than that of tubastatin A(TubA)(IC50=15.11 nM),along with a favorable subtype selectivity profile(selectivity index ≈ 117.23 for HDAC1),which was further verified by the Western blot analysis.Additionally,Cmpd.18 induced G2/M phase arrest and promoted apoptosis in HCT-116 cells,exerting desirable antiproliferative activity(IC50=2.59 μM).Furthermore,based on long-term MD simulation trajectory,the key residues facilitating Cmpd.18's binding were identified by decomposition free energy analysis,thereby elucidating its binding mechanism.Moreover,the representative conformation analysis also indicated that Cmpd.18 could stably bind to the active pocket in an effective conformation,thus demonstrating the potential for in-depth research of the 2-(2-phenoxyethyl)pyridazin-3(2H)-one scaffold.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

AIM To study the chemical constituents from salt-processed Litchi Semen and their antioxidant activities.METHODS The 85％ethanol extract from salt-processed Litchi Semen was isolated and purified by silica gel,Sephadex LH-20,MCI,ODS and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.DPPH and ABTS+free radical scavenging method were used to evaluate their antioxidant activities.RESULTS Fifteen compounds were isolated and identified as dehydrocostuslactone(1),ananosmoside A(2),funingensin A(3),(2S)-pinocembrin-7-O-(6-O-α-L-rhamnopyranosyl-β-D-glucopyranoside)(4),liquiritienin(5),quercetin(6),rutin(7),isorhamnetin-3-O-β-rutinoside(8),procyanidin A2(9),procyanidin A1(10),ethyl protocatechuate(11),5-hydroxymethylfurfural(12),di(2-ethyl-hexyl)phthalate(13),nicotinamide(14),(10E,15Z)-9,12,13-trihydroxyoctadeca-10,15-dienoic acid(15).Compounds 6-7,9-10 exhibited scavenging activities against DPPH radicals with IC50 values of(12.929±1.232),(14.104±0.946),(10.417±1.736),(6.944±0.030)μmol/L,respectively.Compounds 6-10 exhibited scavenging activities against ABTS+radicals with IC50 values of(21.952±0.577),(25.683±0.625),(22.970±1.336),(20.210±1.435),(18.725±0.324)μmol/L,respectively.CONCLUSION Compounds 1,5,14-15 are isolated from Litchi genus for the first time.Compounds 6-7,9-10 have strong in vitro antioxidant activities.

In the field of rectal cancer treatment, transanal local excision techniques (such as transanal endoscopic microsurgery [TEM] and transanal minimally invasive surgery [TAMIS]) have gradually become an important therapeutic option for patients with rectal cancer at various stages, owing to their minimally invasive characteristics and organ-preserving advantages. For low-risk T1 stage tumors, local excision can achieve radical tumor control while preserving organ function. For some patients with high-risk T1 stage or T2-3 stage rectal cancer, the efficacy of combined chemoradiotherapy and local excision is expected to be comparable to that of radical total mesorectal excision (TME). In patients with advanced rectal cancer who achieve clinical complete response (cCR) after neoadjuvant therapy, local excision can confirm the pathological remission status. However, it is necessary to balance the risk of surgical complications against the potential benefits of organ preservation with the "watch and wait" strategy. Currently, transanal local excision techniques have broad application prospects, and comprehensive assessment of patients' overall condition, implementation of multidisciplinary collaboration, and conduct of long-term follow-up are crucial to ensuring the safety of treatment.

In the field of rectal cancer treatment, transanal local excision techniques (such as transanal endoscopic microsurgery [TEM] and transanal minimally invasive surgery [TAMIS]) have gradually become an important therapeutic option for patients with rectal cancer at various stages, owing to their minimally invasive characteristics and organ-preserving advantages. For low-risk T1 stage tumors, local excision can achieve radical tumor control while preserving organ function. For some patients with high-risk T1 stage or T2-3 stage rectal cancer, the efficacy of combined chemoradiotherapy and local excision is expected to be comparable to that of radical total mesorectal excision (TME). In patients with advanced rectal cancer who achieve clinical complete response (cCR) after neoadjuvant therapy, local excision can confirm the pathological remission status. However, it is necessary to balance the risk of surgical complications against the potential benefits of organ preservation with the "watch and wait" strategy. Currently, transanal local excision techniques have broad application prospects, and comprehensive assessment of patients' overall condition, implementation of multidisciplinary collaboration, and conduct of long-term follow-up are crucial to ensuring the safety of treatment.

AIM To study the chemical constituents from salt-processed Litchi Semen and their antioxidant activities.METHODS The 85％ethanol extract from salt-processed Litchi Semen was isolated and purified by silica gel,Sephadex LH-20,MCI,ODS and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.DPPH and ABTS+free radical scavenging method were used to evaluate their antioxidant activities.RESULTS Fifteen compounds were isolated and identified as dehydrocostuslactone(1),ananosmoside A(2),funingensin A(3),(2S)-pinocembrin-7-O-(6-O-α-L-rhamnopyranosyl-β-D-glucopyranoside)(4),liquiritienin(5),quercetin(6),rutin(7),isorhamnetin-3-O-β-rutinoside(8),procyanidin A2(9),procyanidin A1(10),ethyl protocatechuate(11),5-hydroxymethylfurfural(12),di(2-ethyl-hexyl)phthalate(13),nicotinamide(14),(10E,15Z)-9,12,13-trihydroxyoctadeca-10,15-dienoic acid(15).Compounds 6-7,9-10 exhibited scavenging activities against DPPH radicals with IC50 values of(12.929±1.232),(14.104±0.946),(10.417±1.736),(6.944±0.030)μmol/L,respectively.Compounds 6-10 exhibited scavenging activities against ABTS+radicals with IC50 values of(21.952±0.577),(25.683±0.625),(22.970±1.336),(20.210±1.435),(18.725±0.324)μmol/L,respectively.CONCLUSION Compounds 1,5,14-15 are isolated from Litchi genus for the first time.Compounds 6-7,9-10 have strong in vitro antioxidant activities.

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Objective: To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. Methods: A multidisciplinary collaborative model was adopted to develop a preoperative anemia management system that integrates intelligent early warning, standardized treatment pathways, and quality control. The system utilizes natural language processing technology to automatically capture laboratory data and establish evidence-based medical decision support functions. A pre-post study design was employed to compare changes in preoperative anemia screening rates, preoperative anemia intervention rates, reasonable use of iron supplements, and perioperative red blood cell transfusion rates before and after system implementation. Results: After system implementation, the standardization of anemia diagnosis and treatment significantly improved: 1) Screening effectiveness: The anemia screening rate increased to 50.00% (an increase of 27.24%); 2) Intervention effectiveness: The anemia treatment rate rose to 56.30% (an increase of 14.02%); 3) Treatment standardization: The reasonable use rate of iron supplements increased to 55.33% (an increase of 21.02%); the red blood cell transfusion rate decreased to 18.29% (a decrease of 4.07%), and the amount of red blood cell transfusions was reduced by 291 units. Conclusion: This system achieves full-process management of preoperative anemia through information technology, significantly enhancing the standardization of diagnosis and treatment as well as intervention effectiveness, providing an effective solution for perioperative anemia management.