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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

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

PubMedRSC advances2026-09-18

Fabrication of a Bi-doped WO3/CFA nanocomposite for efficient photocatalytic degradation of ciprofloxacin (CIP) under visible light.

Diako Palesa P, Adeiga Opeoluwa I OI, Eswaran Prabakaran P, Pillay Kriveshini K

In this study, the synthesis of a novel bismuth-doped tungsten oxide decorated on coal fly ash (Bi-doped WO3/CFA) nanocomposite for the photocatalytic degradation of ciprofloxacin (CIP) in water was investigated. A Bi-doped WO3/CFA nanocomposite was prepared by the hydrothermal deposition of Bi-doped WO3 nanoparticles onto activated coal fly ash (CFA). Structural and morphological study of the synthesized materials was characterized using a variety of analytical techniques, which include Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS) and transmission electron microscopy (TEM), BET surface area analysis, UV-vis diffuse reflectance spectroscopy (UV-DRS), zeta potential, and photoluminescence (PL). Short rod-shaped nanoparticles were successfully synthesized. A combination of the rod-shaped nanoparticles with spherical activated CFA was observed for the nanocomposite. The results showed that the nanoparticles and the nanocomposite had definite crystallinity. Tauc plot was used to calculate the band gap energies of the Bi-doped WO3/CFA nanocomposite (1.52 eV). The BET surface area of raw CFA, activated CFA, Bi-doped WO3 NPs, and the Bi-doped WO3/CFA nanocomposite was found to be 6.279 m2 g-1, 6.791 m2 g-1, 50.101 m2 g-1, and 29.452 m2 g-1, respectively. A catalyst-free environment, Bi-doped WO3 NPs, and a Bi-doped WO3/CFA nanocomposite were used for the photocatalytic degradation of CIP under visible light for 0-120 min. The nanocomposite showed better degradation of CIP than the catalyst-free environment and NPs, and this is because of its low band gap and the stability of the nanocomposite. Since the nanocomposite is a stable photocatalyst due to the synergy between Bi, WO3, and the activated CFA, it also showed an increased photocatalytic activity due to the dopant (Bi), the binary photocatalyst (WO3/CFA) and a lower band gap. A catalyst loading of 40 mg Bi-doped WO3/CFA nanocomposite and 5 ppm ciprofloxacin were optimized to obtain photocatalytic degradation of 74% under visible light irradiation for 0-120 minutes. The application was conducted varying parameters like concentration, dosage and pH, and the results indicated that the optimal conditions for the degradation of CIP (74% after 120 min) comprised a catalyst loading of 30 mg, a pH of 7 and a concentration of 5 ppm.

PubMedThe American journal of bioethics : AJOB2026-09-18

Ageism Goes Both Ways: Bi-Directionally Tracing Absence and Construction in Bioethics and Pediatrics.

Ramzan Rakhshanda R, S Weaver Meaghann M

PubMedEuropean journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology2026-09-18

Spotting the vulnerable: Preoperative risk stratification in non-metastatic colorectal cancer patients aged 80 years and older.

Liu Hsin-Yi HY, Chen Chi-Ling CL, Liang Jin-Tung JT, Huang John J et al.

While colorectal cancer (CRC) surgery is well established in the broader older population, patients aged ≥ 80 years experience a steep rise in frailty, functional dependency, and failure-to-rescue rates. Identifying simple, clinically relevant preoperative indicators may improve risk stratification and guide patient-centered surgical decision-making. We retrospectively analyzed 449 patients aged ≥80 years who underwent curative surgery for non-metastatic CRC. Barthel Index (BI) and body mass index (BMI) were evaluated as predictors of one-year mortality. A prognostic nomogram incorporating age, BI, and BMI was constructed. Patients were stratified into low-, medium-, and high-risk groups based on model scores. Performance of the nomogram was assessed with discrimination, calibration, and decision curve analysis. Overall 1-year mortality was 11.6% (n = 52). BI (OR: 0.963, p < 0.001) and BMI (OR: 0.877, p = 0.023) emerged as independent predictors. The nomogram achieved an AUC of 0.746 in the derivation cohort and 0.724 in the validation cohort. High-risk patients exhibited significantly higher major complication rates (17.9% vs. 4.1%, p < 0.001), higher 1-year mortality (22.7% vs. 5.3%, p < 0.001), and inferior overall survival (adjusted HR: 2.112, 95% CI: 1.480-3.013, p < 0.001) compared with low-risk patients. A nomogram combining age, BI and BMI reliably stratifies postoperative vulnerability and 1-year mortality in patients aged ≥80 years, supporting targeted prehabilitation and surgical shared decision-making.

PubMedTransplantation and cellular therapy2026-09-18

HLA-DPB1 TCE mismatch vector differentially affects HCT outcomes in 10/10 and ≤9/10 HLA matched patients in the UK.

Turner Thomas R TR, Cambridge Charlotte A CA, Lucas Jonathan A M JAM, French Albert J E AJE et al.

Understanding permissive and beneficial HLA mismatches is a primary area of hematopoietic cell transplant (HCT) research. HLA-DPB1 is well studied in this context, due to its separation from HLA-A∼DQB1 by a recombination hot-spot. The primary study aim was to retrospectively assess the clinical impact of using the latest iteration of the HLA-DPB1 T cell epitope model (TCEv3) for selecting HLA-DPB1 mismatched donors in a UK cohort. The results were also compared to the previous, TCEv2 model. We used the TCEv3 model to assign core and non-core permissive mismatches, to a cohort of 1743 UK volunteer unrelated donor HCTs for malignant diseases between 1996 and 2020. We considered HLA-DPB1 mismatch vector (graft versus host (GvH), host versus graft (HvG), and bi-directional (Bi-D)) across TCE groups, and existing HLA-A∼DQB1 mismatching. In 10/10 HLA matched patients, Bi-D HLA-DPB1 non-core permissive/non-permissive mismatches were associated with significantly worse 5-year overall survival, transplant related mortality, progression-free survival, chronic graft versus host disease (GvHD) and GvHD-free, relapse-free survival (GRFS) compared to HLA-DPB1 matched/permissively mismatched patients. In ≤9/10 HLA matched patients, both Bi-D and HLA-DPB1 matched/permissive mismatches were associated with similarly poor survival, while HvG HLA-DPB1 mismatches reduced mortality and improved GRFS. Overall risk of grades 2-4 acute GvHD (aGvHD) increased with the presence of GvH HLA-DPB1 mismatches and HLA-A∼DQB1 mismatching. Assessing mismatch vector revealed that some canonical non-permissive HLA-DPB1 mismatches are equivalent to an HLA-DPB1 match/permissive mismatch and can be beneficial. Similarly, some canonical permissive mismatches and, surprisingly, HLA-DPB1 matching in an already mismatched setting were detrimental. Bi-D HLA-DPB1 mismatched patients consistently had the poorest outcomes. This UK first, multicenter study shifts our understanding of HLA-DPB1 permissibility in UK HCT, with potential to improve patient survival and quality of life post-HCT through alternative donor selection.

PubMedBMC sports science, medicine & rehabilitation2026-09-18

Real-time continuous assessment of fatigue from surface electromyography with deep learning for training load regulation in elite cyclists.

Zhai Rongxuan R, Ma Guoqiang G, Qiu Jun J, Gong Mingxin M et al.

Accurate assessment of exercise-induced muscle fatigue is essential for optimizing training loads and preventing overtraining in elite athletes. This study presents a deep learning framework for continuous fatigue estimation from raw surface electromyography (sEMG) signals during high-intensity cycling. Fourteen elite track cyclists performed a 30-second all-out sprint on a cycle ergometer. Power output was recorded at 1 Hz to derive a continuous fatigue index (percentage decline from peak power). Simultaneously, sEMG signals were recorded at 1000 Hz from four lower-limb muscles. A sliding window approach (3-second windows, 0.25-second stride) was used to construct input samples. A deep learning model integrating convolutional neural networks (CNN), bidirectional long short-term memory (Bi-LSTM), and channel attention mechanisms was developed to predict the fatigue index directly from raw sEMG. Model performance was evaluated using leave-one-subject-out cross-validation with subject-specific fine-tuning, and compared against eight baseline models. Ablation studies were conducted to quantify each component's contribution. The proposed CNN-Bi-LSTM-attention model achieved a mean absolute error of 0.048 ± 0.019 and a Pearson correlation coefficient of 0.822 ± 0.123, and was the only model yielding a positive coefficient of determination (R² = 0.493 ± 0.249). Compared to baseline machine learning models, the proposed model achieved superior prediction accuracy. Furthermore, it reduced prediction errors by 35.1% relative to time-only regression. Ablation studies revealed that removing the CNN or Bi-LSTM modules caused marked performance degradation, whereas removing the attention mechanism minimally affected prediction accuracy but enhanced model interpretability. The proposed CNN-Bi-LSTM-attention framework enables accurate, continuous fatigue estimation from raw sEMG during high-intensity cycling, offering a promising tool for real-time fatigue monitoring and training load regulation in all-out cycling sprint.

PubMedBMJ neurology open2026-09-18

Functional recovery trajectories in post-acute stroke care: rethinking the length of stay.

Yu Chao-Hung CH, Lee Ya-Wen YW, Lin Chih-Hao CH, Yang Hui-Yi HY et al.

Post-acute care (PAC) restores function after stroke, but the optimal length of stay (LOS) is undefined, particularly in high-intensity rehabilitation settings, causing practice variation and resource-allocation challenges. To examine the association between PAC LOS and functional outcomes after stroke using propensity score-based adjustment for baseline functional severity and to characterise recovery trajectories across rehabilitation durations. In a retrospective cohort of patients enrolled in Taiwan's PAC stroke programme (January 2018-December 2023), functional outcomes were assessed using the modified Rankin scale (mRS) and Barthel Index (BI). Associations between prolonged LOS (>6 weeks) and outcomes were examined using multivariable logistic regression and an inverse probability of treatment weighting model incorporating baseline functional status into the propensity score. Exploratory analyses evaluated weekly LOS cut-offs and stroke subtypes. Among 610 patients, prolonged PAC LOS was associated with higher odds of mRS improvement (OR 1.75, 95% CI 1.20 to 2.57), lower odds of mRS non-improvement (0.57, 0.39 to 0.84) and lower odds of discharge BI≤60 (0.37, 0.25 to 0.55). Lower odds of BI non-improvement were also observed but rested on very few events (penalised-likelihood (Firth) estimation) and warrant caution. The decline in mRS non-improvement continued with longer LOS and differed by subtype, persisting beyond 6 weeks in ischaemic stroke. After adjustment for baseline functional status, prolonged PAC LOS remained associated with more favourable outcomes, but this should not be interpreted as evidence that longer rehabilitation independently causes better recovery. LOS appears to reflect individual recovery trajectories, whose timing differed by stroke subtype. These findings argue against a single uniform duration threshold and support individualised, subtype-aware reassessment.

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