Drug Database
IN

indapamide (Fludex SR / Natrilix SR / indapamide SR)

✓ Approved

Servier · SLC12A3 · Small Molecule

What is indapamide?

indapamide is a small molecule developed by Servier. It is approved for therapeutic indications via oral (po).

Drug Profile

Brand NamesFludex SR, Natrilix SR, indapamide SR
CompanyServier
Drug ClassSmall Molecule
Molecular TargetSLC12A3
RouteOral (PO)
StatusApproved
Sources: ClinicalTrials.gov, Servier

Mechanism of Action

Molecular Targets

indapamide acts on 1 molecular target:

SLC12A3solute carrier family 12 member 3 (NCCT, NCC)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

indapamide is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Vascular disordersHypertension✓ Approved

Related Research Articles

PubMedCranio : the journal of craniomandibular practice2026-07-17

Stress reactivity, but not stressful life events, is associated with treatment selection and clinical outcomes in masticatory myofascial pain patients. A pilot study.

De-La-Hoz José L JL, Bagües Ana A, Martin-Fontelles Isabel I, Cárdenas-Rebollo José M JM et al.

This study evaluated whether stressful life events (SLE) and stress reactivity (SR) influence treatment selection and outcomes in patients with masticatory myofascial pain (MMFP). Thirty-five patients with MMFP completed the Social Readjustment Rating Scale and the Stress Reactivity Index-32 (IRE-32). Patients received either conventional treatment (cyclobenzaprine plus physiotherapy; n = 15) or the same treatment plus botulinum toxin (BT) infiltration (n = 20). Pain intensity, pressure pain thresholds, and mandibular range of motion were assessed before and after treatment.  . SLE scores did not differ between groups and were unrelated to treatment outcomes. Patients receiving conventional treatment showed higher cognitive, emotional, and global SR scores. In this group, greater SR was associated with poorer improvements in pain and mandibular function, whereas no such associations were observed in the BT group. SR, rather than SLE, may be a clinically relevant predictor of treatment selection and response in patients with masticatory myofascial pain. Assessing SR may support personalized treatment decisions.

PMID 42464770
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PubMedFrontiers in endocrinology2026-07-17

Association between heavy metals, essential trace elements in follicular fluid and diminished ovarian reserve: a hospital-based case-control study.

Huang Xin-Chen XC, Sun Ming-Li ML, Chen Yi-Qin YQ, Zhang Xin-Lan XL et al.

To investigate the distribution of heavy metals and essential trace elements in follicular fluid (FF) and their association with diminished ovarian reserve (DOR) using a clinical epidemiological approach. A hospital-based case-control study was conducted. Following propensity score matching (PSM) to control for demographic confounders (age and BMI), baseline clinical data and FF samples were analyzed. Inductively coupled plasma mass spectrometry was used to quantify metal elements in FF. Associations were evaluated using Spearman correlation analysis, weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and least absolute shrinkage and selection operator (LASSO) regression. FF concentrations of arsenic (As), strontium (Sr), and calcium (Ca) were significantly higher in the DOR group than in the control group (P (As) = 0.001, P (Sr) < 0.001, P (Ca) = 0.002). Spearman correlation analysis revealed significant positive correlations between As and selenium, Sr, and vanadium (V). Logistic regression demonstrated that As (odds ratio [OR] = 4.727, 95% confidence interval [CI]: 2.456-9.611) and Sr (OR = 1.984, 95% CI: 1.350-2.985) were associated with higher odds of DOR, whereas copper (OR = 0.552, 95% CI: 0.359-0.831), V (OR = 0.366, 95% CI: 0.183-0.716), and zinc (Zn) (OR = 0.497, 95% CI: 0.308-0.789) were associated with lower odds of DOR. The WQS regression identified Sr, As, and Ca as the primary contributors to the mixture (weights: 0.398, 0.302, and 0.277, respectively). The BKMR model suggested a positive but relatively weak overall mixture effect of metal exposure on the likelihood of DOR. In the advanced mixture model, As, Ca, and iron (Fe) were positively associated with DOR, whereas Zn was negatively associated with DOR, with V and Sr no longer retained as independent factors. Heavy metals and essential trace elements in FF exhibit joint mixture effects in the pathogenesis of DOR. While Sr serves as a surrogate marker for cumulative exposure, As, Ca, and Fe are independently and positively associated with the likelihood of DOR, whereas Zn exhibits a protective association. Maintaining local trace element homeostasis may be critical for preserving ovarian reserve.

PMID 42466335
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PubMedJournal of general internal medicine2026-07-17

Self-managed Complementary and Integrative Health Approaches for Chronic Pain and PTSD: An Umbrella Review.

Zaccari Belle B, Lovejoy Travis I TI, Somohano Vanessa V, Kaplan Joshua J et al.

Chronic pain and posttraumatic stress disorder (PTSD) have shared, often overlapping pathophysiology. Treatment options include complementary and integrative health (CIH) interventions, which have been summarized in numerous systematic reviews and meta-analyses (SR/MAs). This umbrella review describes and evaluates SR/MAs of self-managed CIH modalities for chronic pain or PTSD. We registered our protocol and conducted a literature search in October 2022 of Ovid MEDLINE ALL, Ovid APA PsycInfo, and Ovid EBM Reviews Cochrane Central Register of Controlled Trials; an updated search was conducted in January of 2026 of Ovid MEDLINE, Cochrane Database of Systematic Reviews, and APA PsycInfo. Reviews of RCTs published in or after 2017 involving adults with chronic pain or PTSD and limited to CIH interventions that do not require the presence of a provider were retrieved. Two reviewers independently conducted selection, data extraction, and assessment of SR/MA quality using the Revised Assessment of Multiple Systematic Reviews Tool. We extracted study aims, search dates, number of articles and subjects, patient population, interventions, dose, adverse events, comparators, outcomes, and summary estimates for symptom reduction. We followed PRISMA reporting guidelines. We included 27 (chronic pain (n = 16) and PTSD (n = 11) SR/MAs of yoga, meditation/mindfulness, and tai chi/qigong. Methodological quality scores ranged from 29 to 42 out of 44 points. Efficacy of CIH varied by condition, intervention, and comparator type. Mild adverse events and increases in existing symptoms may arise temporarily when practicing mindfulness, yoga, or tai chi. The length of each intervention session ranged from 30 to 150 min for 8-54 sessions depending on the CIH modality. Self-managed CIH for chronic pain and PTSD is well documented and may be effective for individuals with comorbid chronic pain and PTSD with low risk of adverse events. CIH approaches that could be used for simultaneous treatment of CP + PTSD should consider interventions that include mindfulness and movement. PROSPERO Trial CRD42022369478.

PMID 42463629
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PubMedmedRxiv : the preprint server for health sciences2026-07-17

Exploring the Application of the Observational Medical Outcomes Partnership Common Data Model to Multi-site Stroke Rehabilitation Research Data.

Loomis Katherine J KJ, Kumar Amisha A, Marin-Pardo Octavio O, Bellinger Grace C GC et al.

Emerging artificial intelligence and machine learning (AI/ML) tools can help generate robust knowledge to support precision rehabilitation approaches for varied patient populations. There is a large amount of research-generated and clinical rehabilitation data available for this purpose; however, a pronounced lack of interoperability prevents large-scale data aggregation. Common data models (CDMs) such as Observational Medical Outcomes Partnership (OMOP) have improved data interoperability across healthcare settings, and more recently, for clinical rehabilitation data, specifically. However, the application of these CDMs to research-generated data has not yet been explored. Therefore, as a foundational step, our study evaluated the breadth and depth of OMOP CDM coverage for data in a multi-site repository of harmonized rehabilitation research data: the Enhancing NeuroImaging Genetics through Meta-Analysis Stroke Recovery (ENIGMA-SR) database. Two raters independently mapped data elements representing 46 demographics and medical history (DMH) ENIGMA-SR variables and 95 distinct ENIGMA-SR rehabilitation assessments to OMOP standard concepts. Initial rater agreement was assessed for data element inclusion in OMOP and for specific OMOP concepts used (primary metric: Gwet's agreement coefficient [AC]). Mapping differences were reconciled, and final mappings were descriptively analyzed to examine (1) overall OMOP inclusion, (2) inclusion of more granular levels (subscales, items) of complex assessments, and (3) mapped OMOP concept characteristics. Initial rater agreement was good/very good for overall OMOP inclusion of DMH and assessment data elements and for OMOP concepts mapped across almost all assessment data elements (Gwet's AC: 0.79-0.89). Initial OMOP concept agreement was more variable for DMH data elements; however, all mapping differences were successfully reconciled to 100%. Overall, DMH data elements had higher OMOP inclusion than rehabilitation assessments: 84.8% (39/46) vs. 58.9% (56/95). OMOP coverage was particularly limited for complex assessment subscale- and item-level data elements (9.4% [3/32]; 19.2% [14/73]) and did not match the granularity level represented in ENIGMA-SR data for 56.2% (41/73) of complex assessments. DMH and top-level assessment data elements were frequently mapped to multiple OMOP concepts (median: 6, 2; range: 1-23, 1-8), and for > 50% of these data elements the concepts spanned 2-3 different OMOP domains. For ENIGMA-SR, the OMOP CDM has good coverage of DMH data, moderate top-level coverage of rehabilitation assessments, and very limited coverage of assessment subscales and items. This uneven coverage, combined with variability in OMOP concepts and domains mapped to equivalent data points, presents challenges for aggregating clinical and research-generated rehabilitation data into AI/ML-ready datasets. Moreover, software tools currently available to facilitate the mapping process do not effectively accommodate content- and structure-related features inherent to research-generated data. Going forward, the utility of the OMOP CDM to aggregate multi-source rehabilitation data may be improved by expanding the catalogue of OMOP rehabilitation-related concepts, building cross-walks to research-oriented data standards, and adapting emerging computational tools to streamline the mapping process.

PMID 42465917
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PubMedChemistry of materials : a publication of the American Chemical Society2026-07-17

Screening ASb2O6 (A = Mg, Ca, Sr, Ba, or Cd) for High-Performance Transparent Conducting Oxides.

Claes Romain R, Li Ke K, Sajid Fatima F, Squires Alexander G AG et al.

Transparent conducting oxides (TCOs) play an indispensable role in modern optoelectronic technologies. However, industry primarily relies on a limited range of n-type oxides, severely constraining the design flexibility and optimization of optoelectronic device architectures. Expanding the range of known TCOs would significantly broaden the available electron affinities, facilitating precise energetic matching and thereby enhancing device performance. Recently, Sb-(V)-based oxides have emerged as promising candidates, introducing an unexplored class of potential TCOs. In this study, we performed a computational screening of the ASb2O6 series (A = Mg, Ca, Sr, Ba, or Cd) to identify promising TCO candidates. Our analysis reveals that Ga-doped MgSb2O6 has a moderate carrier concentration of around 1017 cm-3, which can be further enhanced with higher annealing temperatures, while Y-doped CdSb2O6 is predicted to be a degenerate TCO. Experimental characterization of solid-state synthesized Y-doped CdSb2O6 powders corroborates these computational predictions, where Y incorporation leads to a Burstein-Moss widening of the optical band gap and a 0.1 eV shift of XPS core levels to higher binding energies, confirming a Fermi-level rise due to n-type doping. In addition, the resonant nature of YCd preserves high mobility and reinforces the material's strong potential for practical applications in next-generation optoelectronic devices.

PMID 42465219
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PubMedJournal of global health2026-07-17

Peripheral and central auditory impairment linked to heavy metal exposure in Nicaraguan children from artisanal mining communities.

Kachadoorian Marissa M, Lee Torri T, Fitzgerald Jessica J, Geffert Michaela M et al.

Children living in artisanal and small-scale gold mining (ASGM) communities are exposed to numerous metals with possible ototoxic and neurotoxic effects. Tests of peripheral and central auditory function can reflect toxicity to the ear and brain, respectively. This study investigated the link between metal exposure and peripheral and central auditory processing (CAP) in children exposed to metals in ASGM settings. In a cross-sectional study, 211 children aged 6-18 in ASGM communities performed audiometric (pure-tone audiometry, PTA) and CAP assessments (dichotic digits test, DDT). Toenail samples were analysed for 21 metals. Data on noise exposure and other covariates were collected via questionnaire. Linear and Elastic Net regression models were used to identify predictors of auditory impairment. Median metal concentrations except chromium (Cr) and selenium (Se) exceeded published reference values. For CAP assessments, several metals were identified by Elastic Net (lead (Pb), antimony (Sb), uranium (U), vanadium (V)) and linear regression (aluminium (Al), cadmium (Cd), cobalt (Co), Cr, copper (Cu), iron (Fe), mercury (Hg), manganese (Mn), strontium (Sr), thallium (Tl), U, V), respectively. Both methods identified U and V as potential predictors. For peripheral auditory function, Elastic Net selected silver (Ag), Cd, Cr, Hg, and molybdenum (Mo), while linear regression identified Ag, arsenic (As), Co, Cr, Cu, Hg, Mn, Mo, Pb, Sr, and Tl. Silver (Ag), Cr, Hg, and Mo were consistently selected by both methods. At high-frequency peripheral thresholds, Elastic Net identified As, nickel (Ni), Pb, and tin (Sn), and linear regression identified Ag, Al, As, Cd, Co, Cu, Fe, Hg, Mn, Mo, Pb, and V. Both analyses selected As and Pb as potential predictors. CAP and peripheral auditory test performance correlated with metals known to have ototoxic and neurotoxic effects, as well as metals with previously unrecognised neurotoxic potential. These findings support measuring multiple metals in future epidemiologic studies to examine potential metal toxicities beyond those with known neurotoxicity.

PMID 42464958
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