Drug Database
AB

abacavir sulfate

✓ Approved

Roche · Companion diagnostic · Companion diagnostic

What is abacavir sulfate?

abacavir sulfate is a companion diagnostic developed by Roche. It is approved for therapeutic indications via others.

Drug Profile

CompanyRoche
Drug ClassCompanion diagnostic
RouteOthers
StatusApproved

Related Research Articles

PubMedHealth science reports2026-11-11

Low Level Viremia in Early HIV RNA Kinetics in Naïve People Living With HIV Treated With Bictegravir/Emtricitabine/Tenofovir Alafenamide or Dolutegravir/Abacavir/Lamivudine: An Observational Multicenter Retrospective Study.

Bonadiman Nicola N, Basso Monica M, Rossi Maria Cristina MC, Giobbia Mario M et al.

Integrase inhibitors have a pivotal role in antiviral therapyA quarter of PLWH had LLV after 3 months of treatmentPLWH with LLV had immunological parameters lower than PLWH with virological suppression but comparable to those with partial response.

PubMedAnimal welfare (South Mimms, England)2026-11-11

Erratum: PsittaWel: A welfare assessment tool for companion parrots - ERRATUM.

Piseddu Andrea A, van Zeeland Yvonne Y, Hemsworth Lauren L, Rault Jean-Loup JL

[This corrects the article DOI: 10.1017/awf.2026.10089.].

PubMedWater environment research : a research publication of the Water Environment Federation2026-11-11

Impacts of Longwall Mining-Induced Goafs on Sulfate Generation and Biogeochemical Transformation in a Multiaquifer System: Insights From C, S, O, and H Isotopes.

Yang Zhengqiu Z, Fang Jie J, Zhao Yongqiang Y, Zhang Yaobin Y et al.

Longwall mining disrupts overlying strata and creates goafs, altering groundwater conditions and the chemical composition of affected aquifer systems. In arid and semiarid regions, understanding how deep coal extraction influences sulfate biogeochemistry is essential for assessing mining-related groundwater degradation and protecting scarce groundwater resources. This study combined major-ion chemistry, water isotopes (δD and δ18Owater), sulfate isotopes (δ34S and δ18OSO4), δ13CDIC, and Bayesian isotope mixing analysis to investigate sulfate sources and transformation in the multiaquifer system and goaf of the Jinjie Coal Mine, China. The results reveal a marked contrast between sulfate generation in the goaf and its subsequent transformation in the Jurassic aquifers. Pyrite oxidation and associated carbonate dissolution dominate sulfate and dissolved inorganic carbon (DIC) production in goaf water, whereas Bayesian source apportionment identifies pyrite oxidation as the principal sulfate source in most goaf-water samples. The spatial variation in source contributions is consistent with differences in the thickness and continuity of the Baode aquitard. Mining-induced fracturing, locally extending to the surface, facilitates the exposure of pyrite-bearing strata to oxygenated water and air, promoting sulfate generation in the goaf. The resulting sulfate subsequently enters the Jurassic aquifers, where relatively confined and reducing conditions favor bacterial sulfate reduction. Sulfate depletion, enrichment of residual sulfate in heavy sulfur and oxygen isotopes, and relatively depleted δ13CDIC values provide complementary evidence for this transformation. These findings provide a process-based framework for understanding sulfate evolution in mining-affected groundwater systems.

PubMedSmall methods2026-11-11

Modulated Laser-Assisted Nanopore Fabrication With Ammonium Sulfate for Single-Molecule Sensing.

Matsuda Kyosuke K, Hirano Taichi T, Takahashi Shu S, Hagiwara Hidetaka H et al.

Nanopore sensing provides a label-free platform for single-molecule analysis. To achieve reliable solid-state nanopore sensing, however, it is essential to optimize appropriate nanopore fabrication methods, as variations in pore diameter, geometry, surface state, and fabrication residues can affect molecular discrimination capability. Here, we report a temporally modulated CW laser-assisted dielectric breakdown method for facilitating in-situ fabrication of nanopores in silicon nitride membranes, coupled with ammonium sulfate electrolytes to improve sensing performance. Systematic characterization revealed that temporally modulated CW laser minimizes contamination/debris formation during pore fabrication and yields improved nanopore sensing. Streaming-potential measurements and interfacial ion-transport simulations suggest that ammonium-containing electrolytes modify the SiN nanopore interface by promoting NH4 + adsorption on the inner pore surface as well as SO4 2- ions, thereby enhancing DNA-pore interactions. This effect slowed a subset of DNA translocation events, enabling longer dwell-time observations and differentiation between poly(dA) and poly(dC) blockade populations. Furthermore, aptamer-assisted detection enabled detection of Scp1-bound aptamer complexes under conditions where the protein alone tended to clog the pore. The Scp1-aptamer complex showed prolonged dwell times compared with those of free aptamers, even under 0.14 M KCl. Together, these results demonstrate that integrating our approach provides an improved approach for high-performance single-molecule nanopore detection.

PubMedMedicine2026-11-11

Uncovering metabolite-inflammatory protein interactions in gout pathogenesis: A 2-sample bidirectional Mendelian randomization study.

Chen Shuai S, Gan Yudong Y, Jin Yan Y, Wang Feng F et al.

Gout is a widespread inflammatory arthritis whose current treatments focus mainly on symptom relief and urate lowering. Recent work suggests that circulating metabolites and inflammatory proteins interact in complex ways to influence disease risk, with fibroblast growth factor 19 (FGF19) standing out as a potential regulatory node linking metabolism and inflammation. We performed bidirectional 2-sample Mendelian randomization using genome-wide association study summary statistics for 1440 serum metabolites and 91 inflammatory proteins, with gout outcomes drawn from FinnGen R12. Mediation analyses were then applied to examine whether FGF19 acts as an intermediary in selected metabolite-gout pathways. Genetically predicted levels of vanillactate and histidine betaine were associated with higher gout risk, whereas sphingomyelin species and taurolithocholate 3-sulfate showed protective effects. Among inflammatory proteins, FGF19, adenosine deaminase and FGF5 appeared protective, while cluster of differentiation 244 increased risk. Bidirectional analyses revealed reciprocal relationships, including a negative causal effect of propionylcarnitine on FGF19. Mediation testing further showed that FGF19 explained 7.88% of the total effect of lipid-related metabolites on gout via glycodeoxycholate 3-sulfate and 9.58% via cis-3,4-methyleneheptanoylglycine. These findings indicate that FGF19 may exert protective effects against gout partly by modulating bile acid and fatty acid metabolism. The results offer genetic evidence for metabolic-immune crosstalk in gout pathogenesis and highlight FGF19-related pathways as possible targets for more precise therapeutic strategies.

PubMedAmerican journal of health promotion : AJHP2026-11-11

Rethinking Peer Review in the Age of Artificial Intelligence: A Tiered Model for Health Promotion Journals.

Patterson Megan S MS, Maddock Jay E JE

The number of papers published in health promotion journals has grown substantially for two decades, and mainstream use of generative artificial intelligence (AI) has accelerated that growth. Yet peer review remains fundamentally unchanged. Review still depends on volunteer time, and many journals prohibit reviewers from using AI to protect confidential, unpublished work. The result is an asymmetry: authors write faster with AI, while reviewers face mounting demand without the same tools. Funding agencies have begun responding; the NIH, for example, now caps annual application submissions per principal investigator. Journals cannot impose comparable limits because submissions are scattered across thousands of independent outlets, and requiring authors to complete reviews in proportion to their publications would be nearly impossible to enforce. We propose a solution that concentrates limited reviewer capacity on the most complex and consequential research. Cross-sectional and other descriptive studies would be evaluated by a purpose-built AI reviewer, trained to assess methodological rigor in such studies and designed not to retain or learn from unpublished manuscripts. Accepted papers would appear in a companion journal or section of the parent title. Traditional peer review would then be reserved for longitudinal, experimental, and other higher-impact research. Beyond easing reviewer burden, this model creates a transparent signal of rigor that could help tenure and promotion committees reward quality over publication quantity.

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