若生智能
Drug Database
TE

telmisartan + amlodipine (Micamlo BP / Onduarp / Micamlo AP)

✓ Approved

Astellas Pharma · AGTR1 · 小分子

什么是 telmisartan + amlodipine？

telmisartan + amlodipine 是一种小分子，由Astellas Pharma研发。该药已获批，用于治疗相关适应症，给药途径：Oral (PO)。

药物档案

商品名Micamlo BP, Onduarp, Micamlo AP
公司Astellas Pharma
药物类别小分子
分子靶点AGTR1, CACNA1C
给药途径Oral (PO)
状态Approved
来源： ClinicalTrials.gov, Astellas Pharma

作用机制

分子靶点

telmisartan + amlodipine 作用于 2 个分子靶点：

AGTR1angiotensin II receptor type 1 (HAT1R, AT1)
CACNA1Ccalcium voltage-gated channel subunit alpha1 C (CACNL1A1, CACNA1C-IT2)
需要更深入的分析？Noah AI 可解释复杂机制并与同类药物比较。

治疗适应症

telmisartan + amlodipine 针对 1 个适应症，涉及 1 个治疗领域。

治疗领域疾病/病症分期
Vascular disordersHypertension✓ Approved

相关研究文献

PubMedChemical communications (Cambridge, England)2026-07-27

Few-layer covalent-C60-network-stabilized bismuth nanoparticles for high-performance alkaline batteries.

Mei Hao H, Liu Songlin S, Zhang Yuxuan Y, Li Minjuan M et al.

Few-layer quasi-hexagonal-phase C60-network-supported Bi nanoparticles (qHP-C60-Bi) were constructed via an in situ reduction process. Owing to the enlarged surface area, the strong anchoring of Bi particles by the 2D qHP-C60 network, and the enhanced OH- adsorption capability, the qHP-C60-Bi presents a high capacity of 1187 C g-1 and excellent long-term cycling performance in alkaline batteries.

PMID 42504840
阅读全文 →
PubMedInternational journal of legal medicine2026-07-27

Population specificity in mandibular sexual dimorphism: validation and development of forensic models for application in the contemporary Malaysian population.

Woon Choy Ker CK, Obertova Zuzana Z, Flavel Ambika A, Swift Lauren L et al.

Sex estimation is a critical part of the forensic anthropological assessment. The mandible, due to its robust nature and sexually dimorphic traits, is often a alternative region for sex estimation, particularly in cases where other skeletal are incomplete or absent. Population-specific studies are necessary to refine and enhance the accuracy of forensic methodologies. This study, therefore, aims to quantify mandibular sexual dimorphism and explore population variances, validate existing discriminant functions, and develop novel models for sex estimation specific to the Malaysian population. The sample comprised cranial multi-detector computed tomographic scans of 213 male and 202 female Malaysian individuals. Following 3D volume rendering, nine mandibular landmarks were acquired using OsiriX, from which a total of 10 linear inter-landmark and one angular measurement were calculated. The data were then analysed using descriptive statistics and discriminant function analyses employing jackknife validations of classification results. All measurements were sexually dimorphic except for the mandibular angle. Bi-condylar breadth, ramus height, maximum mandibular length, and bi-coronoid breadth were the most dimorphic. Application of foreign discriminant functions to the Malaysian sample resulted in reduced accuracy and a greater sex bias compared to the original studies. The Malaysian specific univariate and multivariate discriminant functions ranged from 62.7 to 83.60% classification accuracy with associated 0.06 to -5.01% sex bias values. The findings emphasize the importance of validating and developing population-specific mandibular models for accurate sex estimation in the contemporary Malaysian population, while future research should expand multi-ethnic datasets to further enhance forensic identification reliability.

PMID 42507154
阅读全文 →
PubMedTopics in current chemistry (Cham)2026-07-27

Electrocatalytic Oxyanion Reduction: From Fundamental Principles to Rational Catalyst Design.

Liu Yuhan Y, Gong Chengyan C, Yuan Chao C, Huo Jia J

The electrochemical reduction of oxyanions offers a versatile and sustainable pathway for environmental remediation and the synthesis of value-added chemical feedstocks. This review provides a comprehensive analysis of the electrocatalytic conversion of a broad spectrum of oxyanions, including nitrate/nitrite, (bi)carbonate, bromate, perchlorate, (bi)chromate, and selenate/selenite. We highlight the progress in the typical used electrocatalysts and common mechanistic features that govern these reactions, such as multi-electron/proton transfer pathways, key intermediate adsorption, and competitive side processes, and discuss how mechanistic understanding can inform catalyst design. Particular emphasis is placed on the rational design of catalysts to simultaneously enhance activity, selectivity, and stability. We systematically evaluate engineering approaches to boost intrinsic activity, including increasing electrical conductivity and regulating electronic structures, and apparent activity, including exposing highly active facets, reducing the spatial dimensions of active sites, promoting H* generation and tailoring the interfacial microenvironment. To achieve precise product selectivity, we delineate fundamental principles focused on optimizing the adsorption energy for key intermediates, deliberately manipulating atom coupling pathways, and strictly inhibiting the competitive hydrogen evolution reaction. Furthermore, we summarize advanced strategies to address the critical challenge of long-term stability, encompassing both the intrinsic atomic-scale durability of active sites and systemic robustness under practical operational conditions. Finally, we outline emerging opportunities and future directions for developing next-generation electrocatalysts capable of operating at high current densities under practical conditions. This review aims to establish a consolidated mechanistic framework to accelerate the development of advanced catalytic platforms for the sustainable conversion of oxyanion pollutants and feedstocks.

PMID 42507050
阅读全文 →
PubMedMedical sciences (Basel, Switzerland)2026-07-27

Real-World Pharmacotherapy-Driven Cardiovascular Risk Prediction Using Interpretable Machine Learning and Jordanian EHR Data.

Moshawih Said S, Gharaibeh Lobna L, Alfreahat Islam I, Shnoudeh Abeer Jabra AJ

Background: Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, with over 75% of deaths occurring in low- and middle-income countries, where conventional risk models often demonstrate poor calibration and limited generalizability. Objective: This study aimed to develop an interpretable, pharmacotherapy-informed machine learning model for cardiovascular risk prediction using national electronic health record (EHR) data from Jordan. Methods: A retrospective cohort study was conducted using approximately 600,000 individuals from the national Hakeem EHR system (2018-2022). Demographic, clinical, blood pressure, laboratory, and medication data were integrated to construct three datasets reflecting varying levels of feature completeness. Multiple machine learning models were benchmarked, followed by optimization, hybrid modeling, and probability calibration. Model interpretability was assessed using SHAP analysis. Results: The national cohort demonstrated a high cardiometabolic burden, with prevalence of hypertension (50.2%), hyperlipidemia (54.9%), and diabetes (47.9%). Antihypertensive and lipid-lowering therapies were more frequently used among CVD patients (56.9% and 49.6%, respectively). Treatment patterns were dominated by amlodipine (19.9%) and atorvastatin (74.4%). The final calibrated seed-bagged gradient boosting model achieved robust performance (ROC-AUC 0.844; PR-AUC 0.813) with consistent generalization across datasets. Key predictors included antihyperlipidemic therapy, systolic blood pressure variability, age, and sex. Conclusions: This study presents JoRisk, a calibrated and interpretable machine learning framework that integrates pharmacotherapy and clinical data for short-term cardiovascular risk prediction. The model demonstrates strong performance using routinely available EHR variables and offers a scalable decision-support tool for risk stratification in resource-constrained healthcare systems.

PMID 42506312
阅读全文 →
PubMedInorganic chemistry2026-07-27

Bismuth-Palladium Catalyst with Orbital Hybridization for Electrochemical Oxidation of Ethylene Glycol to Glycolic Acid.

Jiang Linfeng L, Yuan Li L, Du Yuping Y, Ye Jiahui J et al.

Selective electrooxidation of ethylene glycol to glycolic acid offers a green route for value-added transformation and coupled hydrogen production. However, the long-term stability of the active sites and precise transformation toward C2 products still remain challenges. Herein, a BiPd electrocatalyst with d-f orbital hybridization is reported, which induces electron transfer from Bi to Pd, optimizes the adsorption capability of OH- and other key intermediates, and increases the proportion and stability of active Pd0 species. Thus, the catalyst requires a potential of 0.614 V vs RHE to achieve 100 mA·cm-2, and the coupled EGOR||HER system remains stable over 20 h of continuous operation under 200 mA·cm-2.

PMID 42504546
阅读全文 →
PubMedRadiation and environmental biophysics2026-07-27

Development of innovative bio-inspired shielding composites based on nanomaterials to mitigate radiological effects on medical and nuclear workers.

Algrifi Mostafa A MA

The widespread use of lead-based occupational radiation protection that is based on toxic and heavy metals has triggered a great emergency in the medical and nuclear industries in terms of ergonomics and the environment. In this paper we have described the effective design of a groundbreaking, lead-free, bio-inspired shielding material that has been designed to counteract mixed-field radiological risks, yet retain the best mechanical ergonomics. With the help of a layer-by-layer vacuum-assisted self-assembly protocol, a sophisticated nacre-inspired "brick-and-mortar" microarchitecture was created. The rigid bricks were graphene oxide (GO) nanosheets densely loaded with silane-functionalized Bismuth Oxide (Bi₂O₃), Tungsten Disulfide (WS₂), and Boron Carbide (B₄C) nanoparticles, and the rigid bricks were intercalculated in a highly flexible thermoplastic polyurethane (TPU) rigid skeleton, the mortar. Experimental evidence showed that such a hierarchical structure fully removed nanoscale agglomeration, allowing a record 60 wt% filler loading without catastrophic embrittlement. The composite (Comp-60) had retained a spectacular 165.7% elongation at the moment of break and better fracture toughness. Comp-60 was radiologically extraordinary at its critical medical diagnostic energy of 59.5 keV with a linear attenuation coefficient of 18.640 cm⁻¹, providing the standard protection of 0.25 mm lead-equivalent, at the thinner thickness of only 0.99 mm, thus compromising garment weight by 40% relative to traditional lead-vinyl aprons. Moreover, when used in nuclear applications, the composite was shown to have very good mixed-field performance absorbing 97.5% of thermal neutrons through Boron-10 (n, [Formula: see text]) capture reaction and effectively attenuating the 478 keV secondary gamma emissions in-situ via the close spatial proximity of high-Z Bi₂O₃ and WS₂ nanoparticles within the layered architecture. Innovative Monte Carlo (MCNP) simulations were entirely consistent with the experimental measurements (error at most < 2%), and experimentally proved the absolute spatial homogeneity of the bio-inspired matrix mathematically. These are non-toxic, lightweight and flexible composite that can be considered as a paradigm shift in production of next generation personal protective equipment to radiation workers.

PMID 42507103
阅读全文 →

注册免费账户还可查看另外 9996 篇文献

免费注册查看全部文献 →

了解更多telmisartan + amlodipine