Drug Database
TE

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

✓ Approved

Astellas Pharma · AGTR1 · Small Molecule

What is telmisartan + amlodipine?

telmisartan + amlodipine is a small molecule developed by Astellas Pharma. It is approved for therapeutic indications via oral (po).

Drug Profile

Brand NamesMicamlo BP, Onduarp, Micamlo AP
CompanyAstellas Pharma
Drug ClassSmall Molecule
Molecular TargetAGTR1, CACNA1C
RouteOral (PO)
StatusApproved
Sources: ClinicalTrials.gov, Astellas Pharma

Mechanism of Action

Molecular Targets

telmisartan + amlodipine acts on 2 molecular targets:

AGTR1angiotensin II receptor type 1 (HAT1R, AT1)
CACNA1Ccalcium voltage-gated channel subunit alpha1 C (CACNL1A1, CACNA1C-IT2)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

telmisartan + amlodipine is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Vascular disordersHypertension✓ Approved

Related Research Articles

PubMedThe European journal of health economics : HEPAC : health economics in prevention and care2026-10-15

Home-based geriatric rehabilitation after shortened inpatient rehabilitation: cost-effectiveness analysis of the "Better@Home" multicentre prospective cohort study with a matched historical control group.

Gamble C J CJ, Groen W G WG, M Vaz, de Waal M W M MWM et al.

Geriatric rehabilitation (GR) is facing increased demand due to population ageing. Home-based GR could reduce reliance on resource-intensive inpatient care. However, evidence is limited regarding the cost-effectiveness of home-based GR. The aim of this study is to assess the cost-effectiveness of home-based GR following shortened inpatient GR, compared to conventional inpatient GR. Eight GR facilities in the Netherlands implemented the Better@Home program, in which home-based GR following shortened inpatient GR is compared to a historical control group receiving conventional inpatient GR. The effect measure was independence in activities of daily living (ADL), assessed by the Barthel Index (BI). Costs were measured as healthcare and societal resource use. Data was gathered at GR-admission- and GR-discharge through semi-structured interviews, registration forms, and electronic patient files. Costs and effects were analyzed using linear mixed effects (LMM) and generalised linear (GLM) regression models, combined with multiple imputation and non-parametric bootstrapping. The primary analysis was conducted from a healthcare perspective valued using national unit sources. A total of 350 participants were included (intervention n = 110; control n = 240). The adjusted incremental effect was 0.44 BI-points (95% CI - 0.44 to 1.31), and incremental costs of - €722,63 (95% CI - €2.693,68 to €1.248,43). Uncertainty assessments using non-parametric bootstrapping demonstrated an average mean incremental effect of 0.44 BI-points (95% CI 0.27 to 0.61) and incremental costs of - €654,72 (95% CI - €1.035,66 to - €267,48), indicating a probabilistic pattern favouring the Better@Home program. The Better@Home program achieved levels of independence in ADL comparable to conventional inpatient GR while showing lower mean costs, suggesting that the program may be cost-effective.

PMID 42875712
Read full article →
PubMedAging clinical and experimental research2026-10-15

Refining risk prediction in geriatric heart failure: the emergency heart failure mortality risk grade‑BI model under scrutiny.

Saberi L Kianoush A H KAH, Alimova Durdona D, Niyazov Sherzod S, Qayumov Kholmurod K et al.

Risk stratification is critical for managing acute heart failure in older adults, yet existing tools often underperform in geriatric populations. Özdemir recently introduced the EHMRG‑BI model, integrating brain natriuretic peptide and endotracheal intubation with the Emergency Heart Failure Mortality Risk Grade score to improve 30‑day mortality prediction. While the model demonstrates improved discrimination in a single‑center derivation cohort, several methodological considerations warrant attention. The inclusion of intubation, a treatment decision rather than a baseline characteristic, may introduce bias and limit its utility as an arrival‑time tool. The absence of key geriatric domains such as frailty, functional status, and cognitive impairment may result in residual confounding. Additionally, modelling BNP as a linear predictor disregards its well‑documented non‑linear association with mortality. This Matters Arising offers a perspective on these challenges and proposes refinements, including external validation, integration of geriatric assessments, and flexible BNP modelling, to strengthen the model's clinical applicability.

PMID 42875629
Read full article →
PubMedNature communications2026-10-15

Vacancy-mediated ultrafast oxide-ion conduction in excess-oxygen Sillén oxybromides.

Kanenori Yusuke Y, Udagawa Hidetoshi H, Saito Kei K, Sakuda Yuichi Y et al.

Solid oxide fuel cells (SOFCs) require electrolytes with high oxide-ion conductivity at low temperatures (200-400 °C) to reduce costs. Here, we report that Bi1.9Te0.1LaO4.05Br exhibits oxide-ion conductivity of 0.01 S cm⁻¹ at 233 °C within the "Norby gap" in dry atmospheres. This performance exceeds that of leading proton conductors, such as BaZr0.8Y0.2O2.9 and BaZr0.4Ce0.4Y0.1Yb0.1O2.9, as well as representative oxide-ion conductors, including yttria-stabilized zirconia (YSZ), LaGaO3-based phases (LSGM), and Bi2V0.7Sb0.3O5.5. Bi1.9Te0.1LaO4.05Br also exhibits negligible chemical expansion and high chemical stability under oxidizing, reducing, and CO2-containing atmospheres. The high conductivity is associated with a layered Sillén structure composed of Bi-containing triple fluorite-like slabs and Br layers, together with oxygen vacancies that enable vacancy-mediated oxide-ion migration. Despite the presence of excess oxide ions, oxide-ion transport predominantly occurs via a vacancy mechanism, as revealed by ab initio molecular dynamics simulations, static density functional theory calculations, and neutron diffraction analyses. These findings establish a design principle for high-performance oxide-ion conductors based on vacancy-mediated oxide-ion transport in excess-oxygen Bi-containing Sillén oxyhalides.

PMID 42875472
Read full article →
PubMedAnalytical methods : advancing methods and applications2026-10-15

Combined LA-ICP-MS with empirical coefficient correction and Bi fire assay for the determination of ultra-trace Pt, Pd, and Au in geochemical samples using a 194Pt isotope spike as the internal standard.

Guo Xiaorui X, Liu Yan Y, Ni Wenshan W, Wang Tiantian T et al.

In this work, a novel and environmentally friendly method based on bismuth fire assay (Bi-FA) combined with laser ablation ICP-MS (LA-ICP-MS) was established for the determination of ultra-trace Pt, Pd, and Au in geochemical samples, using a Pt isotope spike (194Pt) as the internal standard. Due to the low toxicity and low, stable blank values of the Bi2O3 collector, Bi-FA could be directly employed for the pre-concentration of Pt, Pd, and Au prior to analysis. The Ag slices prepared by annealing and tableting were analyzed at multiple points by LA-ICP-MS. This approach offered advantages including rapid analysis, good measurement stability, and the elimination of polyatomic ion interference and dilution effects associated with solution-based analysis. As the internal standard, the Pt isotope spike was thoroughly mixed with the target elements (Pt, Pd, and Au in the sample) in each Ag prill, and its distribution was consistent with that of the target elements. This method resolved the issue of uneven distributions of Pt, Pd, and Au in the Ag slices, thereby enabling internal standard correction for LA-ICP-MS by calculating the intensity of 194Pt from the Pt isotope spike. In addition, optimization experiments were conducted for key parameters, including laser frequency, energy density, ablation spot diameter, and ICP-MS dwell time. The Ag slices prepared from certified reference materials (CRMs) were used as the calibration standards. The standard samples had the same matrix as the real samples, which reduced laser ablation fractionation effects, minimized analytical errors, and improved accuracy. The standard curves were plotted by the empirical coefficient method and showed excellent linearity with correlation coefficients (R2) of 0.9999 (Pt), 0.9998 (Pd), and 0.9995 (Au). The limits of detection (LODs) of the method were 0.066 (Pt), 0.052 (Pd), and 0.090 (Au) ng g-1. The proposed method was validated by determining the Pt, Pd, and Au in CRMs, showing excellent agreement with certified values. When applied to geochemical samples, the results were consistent with those obtained by lead fire assay combined with graphite furnace atomic absorption spectrometry (Pb-FA-GF-AAS). The recoveries were 2.5-107.8% (Pt), 91.4-108.0% (Pd), and 91.0-109.2% (Au), demonstrating the good accuracy of the proposed method.

PMID 42876253
Read full article →
PubMedEMBO molecular medicine2026-10-15

RMND1 dysfunction causes OXPHOS deficiency and alters mitoribosomal protein homeostasis in vivo.

Pesini Alba A, Sanchez-Quintero Maria J MJ, Lopez-Gomez Carlos C, Barriocanal-Casado Eliana E et al.

Pathogenic, bi-allelic variants in RMND1 typically manifest as an early-onset multisystemic mitochondrial disease, yet the consequences of RMND1 dysfunction in vivo remain poorly understood. To answer this question, we generated and characterized the first in vivo model of RMND1-related disease, carrying the recurrent p.(Asn238Ser) variant. Homozygous Rmnd1N238S mice exhibit growth defect, premature mortality, and a multisystem phenotype marked by widespread tissue-dependent defects in oxidative phosphorylation assembly and activity. Quantitative proteomic analysis of Rmnd1N238S heart revealed extensive metabolic remodeling, with significant alterations in the abundance of mitoribosomal proteins and factors associated with mitoribosome maturation. Selected changes in mitoribosomal protein abundance were also observed in Rmnd1N238S liver, and RMND1 mutant and depleted human cells. Despite these changes, sucrose-gradient sedimentation did not reveal a gross alteration in mtSSU, mtLSU, or 55S distribution, suggesting that RMND1 dysfunction perturbs mitoribosomal protein homeostasis that could affect late-assembly stages of the mitochondrial ribosome large subunit. Together, our findings establish Rmnd1N238S mice as a robust in vivo model of RMND1-related disease and provide a framework for understanding how RMND1 supports mitochondrial gene expression.

PMID 42875586
Read full article →
PubMedFrontiers in artificial intelligence2026-10-15

Prior-Enhanced Axial TransUNet: integrating MedSAM priors and sparse region-aware attention for kidney-tumor segmentation.

Liang Siyuan S, Xu Cheng C, Lu Chao C, Bao Jiewen J et al.

Accurate kidney and renal-tumor segmentation is challenging because lesion size, location, morphology, and boundary contrast vary substantially across abdominal CT scans. Most existing methods rely on a single form of local evidence and struggle to recover the boundaries of small lesions while maintaining global anatomical consistency. This paper proposes Prior-Enhanced Axial TransUNet (PEAT), which combines the broad medical representations of foundation models with task-specific discriminative learning. PEAT introduces three core components: Bottleneck Semantic Alignment (BSA) uses the frozen MedSAM image encoder as a training-stage feature reference and guides the semantic organization of the task network's bottleneck representation through an L1 alignment constraint; Dual-path Attention-enhanced Fusion (DAF) adaptively fuses CNN local features with MaxViT global contextual features by cascading coordinate attention and SENetV2; and Bi-granular Region-Aware Attention (BRA) achieves efficient non-local context modeling through Top-k window routing and patch-level sparse interaction. The MedSAM branch participates only during training, and only the task-specific network runs at inference. Under a setting in which all compared methods adopt the same preprocessing and evaluation protocol, PEAT achieves kidney and tumor Dice scores of 97.69% and 91.83% on KiTS21 and 96.80% and 92.58% on KiTS23, respectively. Across all four tasks, PEAT attains the highest Dice among the compared methods; ablation studies further show that the progressive integration of BSA, DAF, and BRA yields consistent gains, with the complete model outperforming all single and pairwise configurations. These results indicate that combining training-stage broad feature guidance with task-specific representation learning effectively improves kidney and renal-tumor segmentation and provides a viable route for the coordinated design of foundation-model priors and lightweight task networks.

PMID 42876951
Read full article →

+9996 more articles available with a free account

Sign up free to view all articles →

Ask about telmisartan + amlodipine