Kuwait Journal of Science最新文献_第2页

A comparative analysis of forecasting models for air temperature: Classical time series, machine learning, and functional approaches 气温预测模型的比较分析：经典时间序列、机器学习和函数方法

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-18 DOI: 10.1016/j.kjs.2025.100529

Hajar M. Alkhezi

Accurate temperature forecasting is essential for tackling current environmental, economic, and public health issues influenced by global climate changes. This study presents a new method for high-resolution temperature prediction by combining functional time series (FTS) decomposition with improved modeling techniques. The hourly air temperature (AT) data is broken down from Istanbul, Turkey, into deterministic and random parts to better track complex temporal patterns and short-term changes. Using a functional autoregressive (FAR) model together with standard methods including autoregressive integrated moving average (ARIMA), vector autoregressive (VAR), artificial neural networks (ANN), and autoregressive neural networks (ARNN), one-step-ahead forecasting is conducted for an entire year. Our results clearly show that the FAR model stands out. It significantly outperforms all other methods on key accuracy metrics like mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). This results in the smallest forecast errors and the highest predictive consistency. This research supports more accurate decision-making in areas such as agriculture, energy management, and public safety. It makes a valuable contribution to societal resilience given climate uncertainty. The results demonstrate the clear superiority of the FAR model, which achieved the lowest error rates with a MAE of 10.39, a MAPE of 7.83%, and a RMSE of 9.49. This results in the smallest forecast errors and the highest predictive consistency. The findings highlight how important functional data analysis is in weather modeling and provide a strong framework for improving temperature forecasts. This research supports more accurate decision-making in areas such as agriculture, energy management, and public safety. It makes a valuable contribution to societal resilience given climate uncertainty.

准确的温度预报对于解决当前受全球气候变化影响的环境、经济和公共卫生问题至关重要。本文提出了一种将函数时间序列（FTS）分解与改进的建模技术相结合的高分辨率温度预测方法。每小时的气温（AT）数据从土耳其伊斯坦布尔被分解成确定性和随机部分，以更好地跟踪复杂的时间模式和短期变化。利用函数自回归（FAR）模型，结合自回归积分移动平均（ARIMA）、向量自回归（VAR）、人工神经网络（ANN）和自回归神经网络（ARNN）等标准方法，对全年进行了一步预测。我们的结果清楚地表明FAR模型很突出。在平均绝对误差（MAE）、平均绝对百分比误差（MAPE）和均方根误差（RMSE）等关键精度指标上，它明显优于所有其他方法。这导致最小的预测误差和最高的预测一致性。这项研究支持在农业、能源管理和公共安全等领域做出更准确的决策。考虑到气候的不确定性，它对社会恢复力做出了宝贵贡献。结果表明FAR模型具有明显的优势，其误差率最低，MAE为10.39，MAPE为7.83%，RMSE为9.49。这导致最小的预测误差和最高的预测一致性。这些发现突出了数据分析在天气建模中的重要性，并为改进温度预报提供了强有力的框架。这项研究支持在农业、能源管理和公共安全等领域做出更准确的决策。考虑到气候的不确定性，它对社会恢复力做出了宝贵贡献。

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引用次数: 0

Effectiveness of fly ash in stabilizing sandy soils for liquefaction mitigation under saline coastal conditions 沿海盐碱化条件下粉煤灰稳定沙土缓解液化的有效性

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-18 DOI: 10.1016/j.kjs.2025.100530

Herlina Aulia Daulay , Muhammad Fauzan , Heriansyah Putra , Erizal , Minson Simatupang

Indonesia faces a high risk of liquefaction in coastal areas due to its seismic activity. This study investigates the effectiveness of varying Class C fly ash content in stabilizing saturated sandy soils under different salinity conditions, with Unconfined Compressive Strength (UCS) used as a measure for liquefaction mitigation. Experiments were conducted using Bangka sand, with fly ash added at 5 %, 10 %, and 15 % by weight, and sodium chloride (NaCl) solution concentrations ranging from 0 to 30 ppt. Samples were cured for 7 and 14 days (with a relative density of 50 % and saturation ratio of 100 %). The tested soil is classified as poorly graded, with a specific gravity of 2.53, a uniformity coefficient of 4.42, a gradation coefficient of 1.01, and a void ratio of 0.64. The results indicate that the combined increase of fly ash content and salinity enhances UCS for liquefaction mitigation, reaching a maximum of 268.32 kPa at 15 % fly ash and 30 ppt salinity. The most significant improvement was observed at 10 % fly ash, where UCS increased up to 3.8 times the initial value, and at 10 ppt salinity, UCS improved by 2.01 times. Prolonged curing also enhanced UCS, with optimal gains at 5 % fly ash being 2.1 times the initial value after 14 days. Practically, the addition of 10 % fly ash can be applied in coastal engineering projects to reduce liquefaction risk in high-salinity areas.

由于地震活动，印度尼西亚沿海地区面临着液化的高风险。本研究以无侧限抗压强度（UCS）作为缓解液化的措施，探讨了在不同盐度条件下，改变C类粉煤灰掺量对稳定饱和砂土的有效性。实验采用邦卡砂，粉煤灰添加量分别为5%、10%和15%（重量比），氯化钠溶液浓度为0 ~ 30ppt。样品分别固化7天和14天（相对密度为50%，饱和度为100%）。试验土为差级配土，其比重为2.53，均匀系数为4.42，级配系数为1.01，孔隙率为0.64。结果表明：粉煤灰掺量和矿化度的共同增加可增强单轴抗压能力，在粉煤灰掺量为15%、矿化度为30 ppt时，单轴抗压能力达到最大值268.32 kPa；当粉煤灰含量为10%时，UCS的改善最为显著，达到初始值的3.8倍；当矿化度为10 ppt时，UCS提高了2.01倍。延长养护时间也提高了单轴抗压强度，在5%粉煤灰的情况下，14天后的最佳增益是初始值的2.1倍。在实际应用中，掺加10%的粉煤灰可用于沿海工程项目，以降低高盐度地区的液化风险。

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引用次数: 0

Mapping volcanogenic massive sulphide-associated gossans in hyper-arid terrains using PRISMA hyperspectral imaging and random forest models: A case study from Ariab, NE Sudan 利用PRISMA高光谱成像和随机森林模型在极度干旱地区测绘火山成因块状硫化物相关的蛛蛛：以苏丹东北部Ariab地区为例

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-16 DOI: 10.1016/j.kjs.2025.100526

Abdelmajeed A. Elrasheed , Samia Abdelrahman , Szilárd Szabó

The global demand for key metals (Ni, Cu, and Co), coupled with the depletion of easily discoverable resources, necessitates advanced exploration methodologies for volcanogenic massive sulphide (VMS) deposits. Gossans, key surface indicators of VMS and associated gold mineralization, are particularly challenging to identify in regions with complex geological settings, deep weathering, and rugged topography, such as the Ariab mining district of the Arabian Nubian Shield (ANS). This study investigated the novel application of the space borne hyperspectral PRISMA (PRecursore IperSpettrale della Missione Applicativa) sensor, leveraging its high spectral resolution for gossan detection. An integrated approach was employed, incorporating color composites, band ratios, density slicing, and a hyperparameter-optimized Random Forest classifier. The model achieved an overall accuracy exceeding 80 %, demonstrating its efficacy for scalable gossan mapping. The results were validated through spectral analysis, confirming diagnostic jarosite signatures and extensive fieldwork. This research establishes PRISMA as a powerful, exploration-ready tool for early-stage targeting of auriferous VMS deposits in the ANS and similar arid shield terrains globally.

全球对关键金属（Ni， Cu和Co）的需求，加上容易发现的资源的枯竭，需要先进的火山块状硫化物（VMS）矿床勘探方法。Gossans是VMS和相关金矿化的关键地表指标，在地质环境复杂、风化程度深、地形崎岖的地区，如阿拉伯努比亚盾（ANS）的Ariab矿区，识别Gossans尤其具有挑战性。本研究研究了星载高光谱PRISMA （precursoiperspettrale della Missione Applicativa）传感器的新应用，利用其高光谱分辨率进行松散探测。采用了一种综合方法，结合了颜色复合、频带比、密度切片和超参数优化的随机森林分类器。该模型的总体精度超过80%，证明了其对可扩展的gossan映射的有效性。通过光谱分析，确认诊断性黄钾铁矾特征和广泛的野外工作，验证了结果。该研究使PRISMA成为一种强大的勘探工具，可以在全球范围内针对ANS和类似干旱盾构地形的含金VMS矿床进行早期定位。

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引用次数: 0

A stochastic SEIR model with Holling type II treatment and Ornstein–Uhlenbeck process 具有Holling II型处理和Ornstein-Uhlenbeck过程的随机SEIR模型

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-16 DOI: 10.1016/j.kjs.2025.100525

M. Mediani , A. Slama , A. Boudaoui , H. Alsakaji , F.A. Rihan

This paper investigates a stochastic SEIR epidemic model that incorporates both Holling type II treatment and an Ornstein–Uhlenbeck process (OUP). By constructing appropriate non-negative Lyapunov functions, we establish the existence and uniqueness of a positive global solution for the stochastic system. Furthermore, we derive sufficient conditions ensuring the existence of a stationary distribution (SD) when

R_{0}^{s} > 1

. In addition, we provide criteria for disease extinction when

R_{0}^{X} < 1

. Finally, some of numerical simulations are conducted to validate and illustrate the theoretical findings.

本文研究了一个包含Holling II型治疗和Ornstein-Uhlenbeck过程（OUP）的随机SEIR流行病模型。通过构造适当的非负Lyapunov函数，建立了随机系统正全局解的存在唯一性。进一步，我们得到了当r0 >；1时平稳分布（SD）存在的充分条件。此外，我们提供了R0X<；1时的疾病灭绝标准。最后，通过数值模拟对理论结果进行了验证和说明。

引用次数: 0

Structural characterization of new pyrrolic compounds produced by Streptomyces coelicoflavus MFB strains with evaluation of their antiproliferative and antibacterial effects coelicoflavus链霉菌MFB产新吡咯化合物的结构表征及其抑菌抑菌作用的评价

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-11 DOI: 10.1016/j.kjs.2025.100524

Ayoub El Abbassi , Ayoub Lahmidi , Salaheddine Redouane , Norddine Habti , Mohammed Menggad

Bacterial pigments like the bi-pyrrolic Tambjamines (TMj) and tri-pyrrolic Prodiginines (PGs) are biosynthesized through similar metabolic pathways with a shared route that bifurcates to generate diverse molecules belonging to these families. The responsible enzymes have the flexibility to create many variable structures of PGs and TMj among the producer species. These compounds have potent bioactivities and have inspired the development of new clinical drugs. Herein, we report the isolation and characterization of pyrrolic compounds similar to the PGs and TMj from Streptomyces coelicoflavus strains (MFB11, MFB20, MFB23, and MFB24). The new compounds were characterized through mass spectroscopy, ¹H-NMR, ¹³C-NMR, and DEPT-135 analysis as novel molecules: butyl-bi-ethoxy-pyrrole (FB1) and bi-ethoxy-prodiginine (FB2). The two compounds showed potent antibacterial activity, with FB2 being active against M. luteus, S. aureus, and B. subtilis, while FB1 demonstrated activity against B. subtilis. Also, they exerted apoptotic effects against the P3X63Ag8 resistant cell line (through Bcl-xl overexpression) with IC₅₀ values of 45.6 μM and 63.02 μM, for FB2 and FB1, respectively. Furthermore, molecular docking of the novel structures against Bcl-xl showed that they bind with good affinity (-5.9 kcal mol⁻¹ and -5.5 kcal mol⁻¹) to the key BH3 domain targeted by standard anticancer drugs. The new bioorganic molecules could be exploited for medical use as antibacterials and/or anticancer drugs.

细菌色素如双吡啶棕胺（TMj）和三吡啶棕胺（pg）是通过相似的代谢途径生物合成的，它们的共同途径是分岔产生属于这些家族的不同分子。负责的酶具有灵活性，可以在生产物种中产生许多不同结构的pg和TMj。这些化合物具有强大的生物活性，激发了新的临床药物的开发。本研究从coelicoflavus链霉菌（MFB11、MFB20、MFB23和MFB24）中分离并鉴定了与PGs和TMj相似的吡唑类化合物。通过质谱、1H-NMR、13C-NMR和DEPT-135分析对新化合物进行了表征，确定为新分子：丁基双乙氧基吡罗（FB1）和双乙氧基prodiginine （FB2）。两种化合物均表现出较强的抑菌活性，其中FB2对黄芽孢杆菌、金黄色葡萄球菌和枯草芽孢杆菌有抑菌活性，而FB1对枯草芽孢杆菌有抑菌活性。对P3X63Ag8耐药细胞株（通过Bcl-xl过表达），FB2和FB1的IC50值分别为45.6 μM和63.02 μM。此外，针对Bcl-xl的分子对接表明，它们与标准抗癌药物靶向的关键BH3结构域具有良好的亲和力（-5.9 kcal mol - 1和-5.5 kcal mol - 1）。新的生物有机分子可以作为抗菌药和/或抗癌药物用于医疗用途。

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引用次数: 0

Convergence analysis of nanoparticle-dispersed flow past a porous rotating disk: A Darcy-Forchheimer model with radiation and convective heating 纳米颗粒分散流动通过多孔旋转盘的收敛分析：辐射和对流加热的Darcy-Forchheimer模型

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-11 DOI: 10.1016/j.kjs.2025.100523

Hussain Arafat , Muhammad Faizan Ahmed , Farhan Ali , S.S. Zafar , Asra Anjum , Abdulkafi Mohammed Saeed , Hamed Ould Sid , Dana Mohammad Khidhi , Nehad Ali Shah

Carboxymethylcellulose (CMC) serves as a flexiblewater-soluble cellulose compound utilized in a variety of sectors for its capabilities as a conditioner, stabilization agent, film-former, and adhesive. Its chemical nature enables it to generate extremely viscous substances, making it valuable in both industrial and consumer settings. Inspired by these applications, this article examines the CMC-water base aluminum Darcy-Forchheimer flow of nanomaterial upon a heated convective revolving disk with radiation and chemical species. The distance of aluminum oxide along CMC-water has been described during this exploration. The energy and concentration equation has been described in the presence of heat and mass flux. The modelled equations have been renovated into ODEs via proper alteration. The semi-analytical procedure has been implemented on ODEs via the Homotopic procedure. The residual error has been computed through OHAM with 30-order approximation. The modelling of current exploration deals with the concentration, thermal properties, and velocity of the nanomaterial having lesser and longer distances of aluminum oxide. It has been attributed that the inertia coefficient and slippage effect have a reducing effect on the radial and axial velocity for the distance and radius of nanoparticles. Moreover, thermal and mass relaxation were reduced due to the depreciation in the thermal and concentration fields. The engineering quantities are computed through tabular and graphic forms. The comparison of previous literature has achieved an outstanding agreement. By taking into account nanoparticle interconnection, the simulation transcends the traditional homogeneous nanofluid theory and provides a means of optimizing the cooling agent's microstructure for optimal performance.

羧甲基纤维素（CMC）是一种柔性水溶性纤维素化合物，因其作为调理剂、稳定剂、成膜剂和粘合剂的能力而被广泛应用于各种领域。它的化学性质使其能够产生极粘稠的物质，使其在工业和消费环境中都很有价值。受这些应用的启发，本文研究了cmc -水基铝Darcy-Forchheimer纳米材料在具有辐射和化学物质的加热对流旋转盘上的流动。在勘探过程中描述了氧化铝沿CMC-water的距离。在存在热通量和质量通量的情况下，描述了能量和浓度方程。通过适当的修改，将所建立的方程重新转化为微分方程。通过同伦过程在ode上实现了半解析过程。用30阶近似的OHAM法计算了残差。目前的勘探模型处理的是具有较小和较长的氧化铝距离的纳米材料的浓度、热性质和速度。惯性系数和滑移效应对纳米颗粒的径向速度和轴向速度有减小作用。此外，由于热场和浓度场的衰减，热弛豫和质量弛豫减小。工程量通过表格和图形形式计算。通过对以往文献的比较，得出了非常一致的结论。通过考虑纳米颗粒之间的相互作用，该模拟超越了传统的均匀纳米流体理论，为优化冷却剂的微观结构以获得最佳性能提供了一种手段。

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引用次数: 0

Evaluating soil and ecological factors influencing wildlife species diversity in Kuwait 评价影响科威特野生动物物种多样性的土壤和生态因素

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-09 DOI: 10.1016/j.kjs.2025.100521

Matrah Abdulrazaq Al-Mutairi

In arid environments like Kuwait, biodiversity is influenced by a complex interaction of ecological factors, but there is a notable lack of research focusing on how soil and plant diversity specifically affect wildlife. This research aims to show how variations in environmental heterogeneity, particularly in plant diversity and soil characteristics, influence wildlife species diversity in the Kabd Region of Kuwait. The field surveys were conducted in 36 plots, analyzing soil properties like texture, pH, phosphorus availability, and organic content. Plant diversity was assessed using quadrat sampling, while wildlife species were monitored through pitfall traps, visual surveys, and acoustic detectors. Statistical analysis, correlation, and regression were used to assess the interconnections between ecological factors and biodiversity indicators. This research has shown positive correlations between sand content in soil and both plant and wildlife diversity. The regression models identified three native plant species, Moltkiopsis ciliata, Filago pyramidata, and Launaea mucronata, as a primary factor to wildlife presence, specifically Blaps kollari. This result highlights the importance of soil health factors, its conditions, and native plant species in sustaining and protecting wildlife species diversity in arid environments. Since the three species are all indigenous to Kuwait, their preservation is very important in terms of the stability of the ecosystem and resiliency in biodiversity in the desert conditions.

在像科威特这样的干旱环境中，生物多样性受到生态因子复杂的相互作用的影响，但土壤和植物多样性如何具体影响野生动物的研究明显缺乏。这项研究旨在表明环境异质性的变化，特别是植物多样性和土壤特征的变化如何影响科威特卡巴德地区的野生动物物种多样性。在36个样地进行了实地调查，分析了土壤的性质，如质地、pH值、磷有效性和有机含量。植物多样性通过样方取样进行评估，野生动物物种通过陷阱、视觉调查和声学探测器进行监测。采用统计分析、相关分析和回归分析等方法评价生态因子与生物多样性指标之间的相互关系。研究表明，土壤含沙量与植物和野生动物多样性呈正相关。回归模型表明，毛毛藓（Moltkiopsis ciliata）、毛毛藓（Filago pyramidata）和毛毛藓（Launaea mucronata）是影响野生动物存在的主要因素，尤其是青花甘蓝（Blaps kollari）。这一结果强调了干旱环境下土壤健康因子、土壤条件和原生植物物种对维持和保护野生动物物种多样性的重要性。由于这三个物种都是科威特的本土物种，因此它们的保护对于沙漠条件下生态系统的稳定性和生物多样性的恢复能力非常重要。

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引用次数: 0

Farlie-Gumbel-Morgenstern bivariate log-normal: applications and comparison of semiparametric and parametric methods for estimating copulas Farlie-Gumbel-Morgenstern二元对数正态：半参数方法和参数方法在估计copula中的应用和比较

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-08 DOI: 10.1016/j.kjs.2025.100522

Faten S. Alamri , Shakila Bashir , Bushra Masood , Muhammad Aslam

This study introduces the Farlie-Gumbel-Morgenstern bivariate log-normal (bivariate FGM-LN) distribution, which was created using the FGM copula to describe dependent skewed data. The copula probability density function (PDF) and the cumulative density function (CDF) plots are used to study the distribution's behavior, revealing its ability to capture varying dependency patterns. Simulation research compares parameter estimating approaches, revealing that MLE provides the highest accurate estimates, inference function for margins (IFM) is more computationally efficient, and semiparametric (SP) stays resilient but requires larger sample numbers. Furthermore, Kolmogorov-Smirnov (KS) statistics are also used on real-life recurrence time data from 30 patients to determine the goodness-of-fit for the marginal distributions and validate the model's suitability. The model selection criteria confirm that bivariate FGM-LN outperforms the existing models, with the lowest AIC and BIC scores. The findings emphasize the bivariate FGM-LN distribution's applicability in dependability modeling, survival analysis, and risk assessment, providing a statistically sound alternative to bivariate dependency modeling.

本研究引入了Farlie-Gumbel-Morgenstern二元对数正态分布（二元FGM- ln），该分布是使用FGM copula创建的，用于描述相关偏斜数据。利用copula概率密度函数（PDF）和累积密度函数（CDF）图研究了该分布的行为，揭示了其捕获不同依赖模式的能力。仿真研究比较了参数估计方法，发现MLE提供了最高的估计精度，边际推断函数（IFM）更具计算效率，半参数（SP）保持弹性，但需要更大的样本数。此外，还对30例患者的真实复发时间数据进行了Kolmogorov-Smirnov （KS）统计，以确定边际分布的拟合优度，验证模型的适用性。模型选择标准证实，双变量FGM-LN优于现有模型，AIC和BIC得分最低。研究结果强调了二元FGM-LN分布在可靠性建模、生存分析和风险评估中的适用性，为二元依赖模型提供了统计学上可靠的替代方案。

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引用次数: 0

Effective statistical models for prediction of the tensile strength of rocks 预测岩石抗拉强度的有效统计模型

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-12-04 DOI: 10.1016/j.kjs.2025.100520

Tamer Efe , Servet Demirdag , Nazmi Sengun , Kenan Tufekci , Rasit Altindag

This study investigated the relationships between indirect and direct tensile strength values of rocks using regression analysis. The uniaxial tensile strength (UTS) values of nine distinct rock specimens were ascertained, after which assessments were conducted for Brazilian tensile strength (BTS), flexural strength under concentrated load, and flexural strength under constant moment tests. In order to enhance the accuracy of estimating the UTS, the uniaxial compressive strength, apparent (open) porosity, and ultrasonic pulse velocity (UPV) of the rock specimens were determined, followed by regression analyses. The experimental findings revealed a notable discrepancy between the indirect tensile strength values and those obtained from the UTS. This study introduces a novel statistical approach integrating rock properties and indirect methods for UTS determination, presenting effective regression models applicable to practical scenarios. According to the multiple linear regression results, the BTS was identified as the most suitable indirect testing method, while the UPV was found to be the most relevant rock property for predicting UTS. Furthermore, results from flexural strength tests conducted under various standards advocate a test specimen size of 25∗50∗150mm as optimal for predicting tensile strength.

本文采用回归分析方法研究了岩石的直接抗拉强度和间接抗拉强度之间的关系。确定了9个不同岩石试件的单轴抗拉强度（UTS）值，并对其进行了巴西抗拉强度（BTS）、集中荷载下的抗折强度和恒矩试验下的抗折强度评估。为了提高UTS估计的准确性，测定了岩石试样的单轴抗压强度、表观（开）孔隙度和超声脉冲速度（UPV），并进行了回归分析。实验结果表明，间接抗拉强度值与UTS获得的值之间存在显著差异。本研究引入了一种新的统计方法，结合岩石性质和间接方法来确定UTS，提出了适用于实际场景的有效回归模型。根据多元线性回归结果，BTS是最适合的间接测试方法，而UPV是预测UTS最相关的岩石性质。此外，在各种标准下进行的抗弯强度试验结果表明，25 * 50 * 150mm的试件尺寸是预测抗拉强度的最佳选择。

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引用次数: 0

Berberine alleviated methotrexate-induced oxidative and inflammatory lung injury by modulating Nrf2 signaling in rats 小檗碱通过调节Nrf2信号通路减轻甲氨蝶呤诱导的大鼠氧化和炎症性肺损伤

IF 1.1 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Kuwait Journal of Science

Pub Date : 2025-11-30 DOI: 10.1016/j.kjs.2025.100519

Ahmet Mentese , Selim Demir , Esin Yulug , Nihal Turkmen Alemdar , Tenzile Beyza Durmus , Elif Ayazoglu Demir , Yuksel Aliyazicioglu

Methotrexate (MTX), a medication commonly utilised in the management of autoimmune disorders and cancer, has been observed to precipitate pulmonary tissue injury when administered over an extended period. This may result in a range of adverse effects, including psychological and physiological distress, in patients. Berberine (BER), a molecule that has been employed in traditional therapeutic practices for centuries, is an alkaloid derivative with a multitude of pharmacological activities. The objective of the present study was to examine the therapeutic potential of BER in counteracting pulmonotoxicity induced by systemic MTX administration for the first time. In this experimental model, rats were subjected to a single intraperitoneal injection of 20 mg/kg of MTX on the first day in order to induce lung injury. Following this, the rats were then administered BER treatments at doses of 1 mg/kg or 2 mg/kg for a period of three consecutive days. Administration of MTX resulted in a significant suppression of nuclear factor erythroid 2-related factor 2 (Nrf2) levels in the lung tissue of rats when compared to the control group (∼7.0 fold; p < 0.01). Furthermore, MTX administration significantly induced lipid peroxidation, inflammation, and endoplasmic reticulum stress levels in comparison with the control group, leading to severe pulmonary histopathological symptoms (p < 0.001). Conversely, the administration of BER treatments led to a significant alleviation of degenerative biochemical and histopathological findings, achieved by modulating Nrf2 signalling (p < 0.05). Consequently, the present findings imply that BER may exert a positive effect on MTX-induced oxidative pulmonary damage, at least in part, by modulating the Nrf2 pathway.

甲氨蝶呤（MTX）是一种通常用于自身免疫性疾病和癌症治疗的药物，经观察，长期服用会导致肺组织损伤。这可能导致一系列不良反应，包括患者的心理和生理困扰。小檗碱（BER）是一种生物碱衍生物，具有多种药理活性，几个世纪以来一直用于传统的治疗实践。本研究的目的是首次研究BER在对抗全身MTX引起的肺毒性方面的治疗潜力。在本实验模型中，大鼠在第一天单次腹腔注射MTX 20 mg/kg，以诱导肺损伤。在此之后，连续三天给大鼠以1mg /kg或2mg /kg的剂量进行BER治疗。与对照组相比，给药MTX导致大鼠肺组织中核因子红系2相关因子2 （Nrf2）水平显著降低（约7.0倍；p < 0.01）。此外，与对照组相比，给药MTX显著诱导脂质过氧化、炎症和内质网应激水平，导致严重的肺部组织病理学症状（p < 0.001）。相反，通过调节Nrf2信号传导，BER治疗可显著缓解退行性生化和组织病理学结果（p < 0.05）。因此，目前的研究结果表明，BER可能通过调节Nrf2途径，至少在一定程度上对mtx诱导的氧化性肺损伤发挥积极作用。

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引用次数: 0