Drug Database
ME

metformin + sitagliptin (Januvia ER / Janumet ER / Janumet XR)

✓ Approved

Merck & Co. · DPP4 · Small Molecule

What is metformin + sitagliptin?

metformin + sitagliptin is a small molecule developed by Merck & Co.. It is approved for therapeutic indications via oral (po).

Drug Profile

Brand NamesJanuvia ER, Janumet ER, Janumet XR
CompanyMerck & Co.
Drug ClassSmall Molecule
Molecular TargetDPP4
RouteOral (PO)
StatusApproved

Mechanism of Action

Molecular Targets

metformin + sitagliptin acts on 1 molecular target:

DPP4dipeptidyl peptidase 4 (CD26, DPPIV)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

metformin + sitagliptin is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Metabolism and nutrition disordersType 2 diabetes mellitus✓ Approved

Related Research Articles

PubMedLiver international : official journal of the International Association for the Study of the Liver2026-07-25

Cumulative Metformin Use and Hepatocellular Carcinoma Risk After HCV SVR: A Multicentre Cohort Study.

Calvo-Sánchez Henar H, Jara-Fernández Lorena L, Encijo-Heredia Raquel R, Villarino Irene I et al.

Although sustained virological response (SVR) after hepatitis C virus treatment reduces hepatocellular carcinoma (HCC) incidence, residual risk persists. Metformin has been associated with lower HCC risk, but whether cumulative metformin exposure (CME) lowers post-SVR risk remains unclear. We evaluated whether CME was associated with lower HCC risk after SVR. We analysed a multicentre cohort of 1531 patients who achieved SVR after direct-acting antiviral therapy (median follow-up, 75.5 months). Metformin exposure was modelled as a time-updated cumulative variable in start-stop Cox models to control for immortal-time bias. Stabilised inverse probability weighting addressed confounding by indication and censoring. The overall model was sex-stratified and adjusted for FIB-4, clinically significant portal hypertension (CSPH), type 2 diabetes mellitus (T2DM) and smoking. A prespecified T2DM-restricted analysis used T2DM-specific IPTW plus IPCW, sex stratification and CSPH adjustment. During follow-up, 50 patients developed HCC. Crude incidence was highest among patients with FIB-4 > 3.25, CSPH and T2DM without metformin exposure (4.84 cases per 100 person-years). In the overall weighted model, CME was associated with lower HCC risk (HR, 0.46 per year; 95% CI, 0.27-0.77; p = 0.004). CSPH, T2DM, smoking and FIB-4 > 3.25 independently increased risk. In the T2DM-restricted model, each additional year remained associated with lower HCC hazard (HR, 0.49; 95% CI, 0.29-0.84; p = 0.009), whereas CSPH was associated with higher risk (HR, 6.04; 95% CI, 2.12-17.19; p < 0.001). After SVR, CME was associated with lower HCC risk; this possible duration-dependent inverse association was clinically interpretable only among metformin-eligible patients with T2DM.

PubMedJournal of the American Academy of Dermatology2026-07-25

Insulin Resistance is Not a Predictor of Response to Low-Dose Oral Metformin Therapy in Patients with CCCA: A Retrospective Review.

Adedeji Opemipooluwa O, Aguh Crystal C

PubMedRevista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia2026-07-25

Metformin + Insulin vs. Insulin for GDM and T2DM during pregnancy: systematic review and meta-analysis.

Hallack Christiano C, Nogueira Bernardo Vieira BV, Bomfim Maressa M, Meireles Nathália N et al.

Evaluate the effectiveness and safety of adding metformin to insulin (M+I) versus insulin alone for pregnant women with type 2 diabetes mellitus (T2DM) or gestational diabetes mellitus (GDM), focusing on stillbirth as the primary outcome. PubMed, Embase, and Cochrane Central were searched. No date limits. Last search: January 2025. Randomized clinical trials including women with T2DM or GDM were eligible. Trials restricted to type 1 diabetes were excluded. Two reviewers extracted maternal and neonatal outcomes and assessed risk of bias with the Cochrane RoB 2 tool. Evidence certainty was graded using GRADE. Data were pooled with random-effects models and reported as risk ratios (RRs) or mean differences (MDs) with 95% confidence intervals. Nine RCTs (2,420 women) were included, most with GDM and some with T2DM. Moderate-quality evidence indicated reduced stillbirth risk with M+I (6 RCTs, 2,196 participants; RR 0.36, 95% CI 0.14-0.90; NNT 111). Low-quality evidence suggested lower risks of gestational hypertension (4 RCTs; RR 0.68, 95% CI 0.48-0.97) and neonatal hypoglycemia (7 RCTs; RR 0.49, 95% CI 0.30-0.80). No significant differences were found for cesarean section, preterm delivery, or other neonatal outcomes. Heterogeneity, baseline imbalances, and small samples limited certainty. M+I may reduce stillbirth and some adverse outcomes compared with insulin alone, but most evidence remains low certainty. Further high-quality RCTs are needed.Registered in PROSPERO: CRD42024617330.

PubMedExperimental gerontology2026-07-25

Senomorphic agents: Multi-target strategies to tame the senescence-associated secretory phenotype for healthy ageing.

Kong Yue Y, Zhang Qiuyan Q, Zhang Jianzhong J, Fu Qiang Q

Cellular senescence is a central driver of organismal ageing and related pathologies, primarily promoting chronic inflammation and tissue dysfunction through the senescence-associated secretory phenotype (SASP). Unlike senolytics, which aim to eliminate senescent cells, senomorphic agents offer a complementary therapeutic strategy by modulating the SASP without clearing the cells, thereby preserving their potential physiological functions. This review systematically elucidates the multi-target mechanisms of senomorphic agents, including the inhibition of key signaling pathways such as NF-κB, mTOR, JAK/STAT, and cGAS-STING. We classify them into three major categories: "old drugs with new uses" and metabolic modulators (e.g., metformin), natural products and their derivatives (e.g., urolithin A), and designed targeted synthetic inhibitors (e.g., ruxolitinib). Furthermore, we review their translational potential in neurodegenerative diseases, cardiovascular ageing, and osteoarthritis, highlighting the advantages of drug repurposing and synergistic therapy with senolytics. Finally, we discuss current challenges-such as the lack of specific biomarkers and targeted delivery systems-and future directions, including precision senotherapy and integrated intervention strategies. This review demonstrates that by 'taming' the senescent microenvironment rather than eliminating cells, senomorphic agents offer a promising strategy for achieving healthy ageing, yet clinical translation remains hindered by the lack of specific biomarkers, tissue-specific delivery systems, and long-term safety data. Here, we summarize current advances and critically analyze the barriers that must be overcome to move senomorphic agents from preclinical models to clinical practice.

PubMedOncology research2026-07-25

Navigating the Metabolic-Genomic Paradigm: Mitochondrial Reprogramming as a Driver of Cancer Plasticity.

Tzeng Yen-Dun Tony YT, Wen Chen-Yueh CY, Yong Su-Boon SB, Wen Zhi-Hong ZH et al.

Breast cancer (BC) management has transitioned from histological classification to molecular subtyping, yet therapeutic resistance and intratumor heterogeneity remain critical clinical challenges. This review examines the emerging paradigm shift toward integrating mitochondrial metabolism into the precision medicine framework. We detail the complex mitonuclear crosstalk where nuclear genetic alterations, such as Breast Cancer 1 (BRCA1) deficiency and TP53 mutations, fundamentally reprogram mitochondrial bioenergetics. Specifically, the loss of BRCA1 function triggers a systemic NAD+ depletion trap through PARP1 hyperactivation, while oncogenic drivers like MYC coordinate with PGC1α to enhance mitochondrial biogenesis for metastatic survival. We evaluate the diagnostic potential of mitochondrial DNA heteroplasmy and machine learning derived metabolic gene signatures as high performance biomarkers for patient stratification and the detection of minimal residual disease via liquid biopsy. Furthermore, we analyze current clinical efforts to target mitochondrial vulnerabilities, including respiratory chain inhibitors like metformin and BH3 mimetics, while highlighting the significant challenges posed by metabolic plasticity and nutrient competition in the tumor microenvironment. The analysis of clinical trial data, such as the MA.32 study, suggests that metabolic interventions require precise patient selection based on specific metabolic phenotypes rather than broad application. Looking forward, the integration of genome scale metabolic models and artificial intelligence (AI) offers a transformative pathway to simulate patient specific metabolic fluxes and identify novel synthetic lethal targets. By bridging the gap between nuclear genomic drivers and dynamic mitochondrial adaptations, this review aims to provide a preliminary framework for the exploration of metabolic-genomic precision oncology in BC.

PubMedPhytomedicine : international journal of phytotherapy and phytopharmacology2026-07-25

Yin-Huang-Qing-Fei-Capsule derived diosgenin and its optimized nanoconjugate target STAT3 against pulmonary fibrosis.

Xu Wenjie W, Xin Guang G, Dong Yuman Y, Zhou Qilong Q et al.

Pulmonary fibrosis (PF) is a progressive, fatal interstitial lung disease with limited curative therapeutic options. Yin-Huang-Qing-Fei (YHQF) capsule is an approved clinical Chinese patent medicine with emerging preclinical evidence of potential anti-fibrotic bioactivity, yet its core anti-PF constituents, direct functional targets, and the druggability of its key active monomer remain largely uncharacterized. This study aimed to decipher the anti-PF pharmacodynamic basis of YHQF, validate its core active constituent and functional target, and optimize the druggability of the candidate monomer. A randomized, controlled preclinical in vivo study was conducted, coupled with in vitro pharmacological validation, transcriptomic profiling, machine learning-based constituent screening, and genetic causal inference for target prioritization. The anti-PF efficacy of YHQF was verified in bleomycin (BLM)-induced mouse PF models. Core bioactive constituents were screened via LC-MS/MS and machine learning. Mendelian randomization (MR) was used for target prioritization, followed by molecular docking, molecular dynamics simulation, surface plasmon resonance (SPR) and siRNA assays for multi-dimensional target validation. Transcriptomic profiling was conducted to elucidate the STAT3-associated downstream regulatory pathways. A diosgenin-metformin nanoconjugate (DM) was rationally designed for druggability optimization. YHQF significantly alleviated BLM-induced PF in mice. Diosgenin was identified as YHQF's core anti-PF constituent, with STAT3 validated as its direct functional target. Diosgenin exerted STAT3-dependent anti-fibrotic effects, and DM nanomicelles exhibited notably enhanced in vivo anti-PF efficacy. This study defined the diosgenin-STAT3 axis as the core mechanism mediating YHQF's anti-PF effect, develops an optimized nanomedicine with improved translational potential, and provides a practical, replicable strategy for traditional Chinese medicine modernization.

+9996 more articles available with a free account

Sign up free to view all articles →

Ask about metformin + sitagliptin