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On the nature of Romanowsky dyes and the Romanowsky-Giemsa effect.

This paper reviews the nature of Romanowsky staining and the relationship between Romanowsky dyes and the Romanowsky-Giemsa effect (RGE). On blood and bone marrow smears the RGE is characterized by a purple colouration of nuclei and neutrophil granules. The nuclear purple contrasts strongly with the blue cytoplasmic staining of cells rich in RNA. Requirement for the occurrence of RGE are: I A cationic dye: The best dye is azure B and, though azure A gives the nuclear purple colour, the cytoplasmic blue is inferior. No other cationic dye such as methylene blue is suitable. 2 An anionic dye: Most commonly eosin Y is used, but it can be replaced by the erythrosins. Full halogenation of the fluorescein (four atoms of bromine or iodine) is not necessary. Phloxine and rose bengal are unsuitable. 3 An appropriate substrate: These are proteins with acidic side groups or proteins bound to a polyanion. For the interaction with the dyes substrates must provide a suitable three-dimensional network which is why the RGE is not obtained in solutions. A tentative theory of RGE is advanced and briefly discussed.

Azure Stains

Gelified ethanol for percutaneous sclerotherapy of bone lesions: a systematic review of clinical applications and outcomes.

PURPOSE: To systematically review the available evidence on the feasibility, safety, and clinical effectiveness of percutaneous sclerotherapy using radiopaque gelified ethanol (RGE, Discogel®) for bone lesions. METHODS: A systematic search of MEDLINE, Embase, Web of Science, and Cochrane CENTRAL was performed. Primary studies reporting clinical, technical, and safety outcomes following RGE sclerotherapy for bone lesions were included. Data on patient characteristics, lesion type, procedural details, and outcomes were extracted and synthesized descriptively. RESULTS: Six retrospective studies involving 55 patients (mean age 22.2 ± 20.4 years; range 3-65; 26 females) with 56 lesions and 119 procedures were included (mean 2.16 procedures per patient). Aneurysmal bone cysts (80%) and aggressive vertebral hemangiomas (18%) were the main indications. Technical success was reported in 100% of procedures. Pain outcomes were available for 28 patients, with complete resolution in 64.3% (18/28), partial reduction in 32.1% (9/28), and persistence in 3.6% (1/28). Radiological follow-up (50 lesions) demonstrated complete response in 96% and partial response in 4%. No major adverse events were reported according to CIRSE (≥ 4) or CTCAE (≥ 4) criteria. One SIR grade 3 vertebral fracture occurred without confirmed causal association to RGE. Subsequent surgery was required in 3.6% of lesions. CONCLUSION: Although limited to small retrospective series, current evidence suggests that RGE sclerotherapy is a safe and effective minimally invasive option for selected benign bone lesions. Prospective comparative studies with longer follow-up are warranted.

Humans

Methods for modeling gene-environment interplay using polygenic risk scores.

Polygenic risk scores (PRS) are increasingly recognized as pivotal tools for quantifying disease risk through the aggregation of multiple genetic variants. As sample sizes in genome-wide association studies (GWAS) continue to expand and PRS become more powerful, they are set to play a key role in translational research and personalized medicine. Understanding the interplay of PRS with environmental factors is critical for interpreting and applying PRS in diverse contexts. This interplay manifests in two forms: PRS-by-environment interaction (PRS × E) and gene-environment correlation (rGE). However, despite the growing application and importance of PRS, there are limited guidelines for performing PRS × E interaction analyses while controlling for rGE, which can lead to inconsistencies across studies and misinterpretation of results. Here we provide a review of different methods for performing PRSxE interaction in various epidemiological study designs, propose recommendations for best-practice, and discuss future challenges.

Gene-Environment Interaction

Integrating biological pathway polygenic scores and trauma in psychosis: findings from the EU-GEI study.

Psychotic disorders are complex, multifactorial conditions influenced by both genetic liability and early environmental adversity. Polygenic risk scores (PRSs) derived from genome-wide association studies have shown utility in capturing genetic predisposition, but their biological interpretability remains limited. In this study, we evaluated whether biologically informed pathway-specific polygenic scores (pPGSs) for psychosis, restricted to neurotransmitter-related pathways, could help clarify gene-environment interplay. Using data from 1 192 individuals in the EU-GEI multi-site case-control study, we constructed pPGSs for dopamine, glutamate, GABA, and serotonin systems. We investigated associations between pPGSs and childhood trauma (rGE), their interactions on psychosis risk (GxE), and the influence of the genome-wide psychosis PRS on these relationships. Serotonin, dopamine, and glutamate pPGSs were positively associated with a composite trauma exposure (i.e., abuse and neglect), suggesting shared genetic factors contributing to both psychosis liability and early adversity. Significant negative GxE effects were observed for both dopamine and serotonin pPGSs, indicating that higher trauma exposure diminished the relative influence of genetic liability on psychosis risk. Adjustment for the genome-wide psychosis PRS attenuated most effects, but serotonergic and dopaminergic associations remained robust, supporting pathway-specific contributions beyond general polygenic risk. These findings provide proof-of-concept for the utility of pPGSs in psychiatric research, suggesting both genetic contributions to trauma exposure and GxE effects on psychosis risk. Further research incorporating epigenetic data and longitudinal designs may enhance mechanistic insight and translational potential.

Adult

Lp(a) testing for the primary prevention of cardiovascular disease in high-income countries: a cost-effectiveness analysis.

BACKGROUND AND AIMS: Cost-effectiveness of Lipoprotein(a) [Lp(a)] testing is not established. We aimed to evaluate the cost-effectiveness of Lp(a) testing in the cardiovascular disease (CVD) primary prevention population from healthcare and societal perspectives. METHODS: We constructed and validated a multi-state microsimulation Markov model for a population of 10,000 individuals aged between 40 and 69 years without CVD, selected randomly from the UK Biobank. The model evaluated Lp(a) testing in individuals not initially classified as high-risk based on age, diabetes status, or the SCORE-2 algorithm. Those with an Lp(a) level ≥105 nmol/L (50 mg/dL) were treated as high risk (initiation of a statin plus blood pressure lowering). The Lp(a) testing intervention was compared to standard of care. The primary analyses were conducted from the Australian and UK healthcare perspectives in 2023AUD/GBP. A cost adaptation method estimated cost-effectiveness in multiple European countries, Canada, and the USA. RESULTS: Among 10,000 individuals, 1,807 had their treatment modified from Lp(a) testing. This led to 217 and 255 quality-adjusted life years gained in Australia and the UK, respectively, with corresponding incremental cost-effectiveness ratios of 12,134 (cost-effective) and -3,491 (cost-saving). From a societal perspective, Lp(a) testing saved $85 and £263 per person in Australia and the UK, respectively. Lp(a) testing was cost-saving among all countries tested in the cost adaptation analysis. CONCLUSIONS: Lp(a) testing in the primary prevention population to reclassify CVD risk and treatment is cost-saving and warranted to prevent CVD.

Humans

Perceived partner substance use, genetic predispositions, and their associations with problematic alcohol use, emotional well-being, and relationship quality.

BACKGROUND: Romantic relationships are important contexts for substance use and emotional well-being. We tested the hypotheses that (i) genetic predispositions for alcohol consumption would be positively associated with partner substance use, (ii) partner substance use would moderate genetic influences on one's own alcohol outcomes, and (iii) partner discordance in substance use would be associated with lower emotional well-being and relationship quality. METHODS: Analyses included 2,357 participants (Mage = 51.4, 58.2% female) from the Collaborative Studies on the Genetics of Alcoholism. Focal measures included participants' reports of their own and their current partner's past-year substance use (frequencies of alcohol use, heavy drinking, drunkenness, cannabis use, and nicotine use), emotional well-being, and relationship quality. Participants' genetic predispositions were indexed with genome-wide polygenic scores for alcohol consumption (PGSAlc). Participant-partner substance use discordance was calculated as the difference between the participant's and their partner's use for each substance use measure, separately. RESULTS: Participant PGSAlc was not significantly associated with partners' perceived substance use. Frequent perceived partner alcohol use and heavy drinking significantly amplified the association between PGSAlc and alcohol use or drunkenness. Frequent perceived partner drunkenness and cannabis use significantly attenuated the association between PGSAlc and heavy drinking or frequency of alcohol use. Participant-partner discordance for several substance use measures was significantly associated with lower emotional well-being and relationship quality, controlling for participant and partner substance use main effects. CONCLUSIONS: The results highlight the importance of partner substance use in etiological models of alcohol use, emotional health outcomes, and relationship quality.

Humans

Cardioprotective glucose-lowering drugs, statins, and secondary major adverse cardiovascular events: a nationwide cohort study of individuals with type 2 diabetes and cardiovascular disease.

BACKGROUND: In type 2 diabetes, cardioprotective glucose-lowering drugs, including sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists, and statins reduce the risk of secondary major adverse cardiovascular events. No trials examined the combination of these drugs as withholding statins in high-risk individuals would be unethical. We tested the hypothesis that cardioprotective glucose-lowering drug and statin combined is associated with lower risk of secondary major adverse cardiovascular events than either drug alone. METHODS: Individuals with type 2 diabetes and established cardiovascular disease from December 2012 through 2021 were identified via national Danish health registers. They were analyzed in an active comparator cohort including 15,404 individuals followed from treatment intensification with cardioprotective glucose-lowering drug or dipeptidyl peptidase-4 inhibitor and additionally in a time-varying cohort including 76,853 individuals with yearly updated treatment and covariate status. The treatment groups were: (i) no cardioprotective drug (no use of cardioprotective glucose-lowering drug or statin), (ii) cardioprotective glucose-lowering drug, (iii) statin, and (iv) cardioprotective glucose-lowering drug and statin. The primary outcome was a new major adverse cardiovascular event (myocardial infarction, stroke, or cardiovascular death). RESULTS: During mean 2.7 and 4.7 years of follow-up, 1,843 and 23,051 had major adverse cardiovascular events in the active comparator and time-varying cohorts. In the active comparator cohort, when compared to nonusers of cardioprotective glucose-lowering drug or statin, multivariable adjusted hazard ratios of major adverse cardiovascular events were 0.82 (95% confidence interval: 0.67 to 1.02) for cardioprotective glucose-lowering drug, 0.85 (0.74 to 0.97) for statin, and 0.71 (0.60 to 0.84) for cardioprotective glucose-lowering drug and statin combined. Corresponding hazard ratios in the time-varying cohort were 0.77 (0.69 to 0.86), 0.73 (0.70 to 0.75), and 0.57 (0.54 to 0.60), respectively. When restricting the active comparator cohort to individuals entering observation between 2019 and 2021 with reduced statistical power, the corresponding hazard ratios were 0.86 (0.57 to 1.31), 0.89 (0.60 to 1.30), and 0.79 (0.54 to 1.14), respectively. In both cohorts p for interaction between cardioprotective glucose-lowering drug and statin was > 0.05. CONCLUSIONS AND RELEVANCE: In individuals with type 2 diabetes and established cardiovascular disease, treatment with a cardioprotective glucose-lowering drug and statin in combination was associated with lower risk of secondary major adverse cardiovascular events than using either drug alone. This is important given the persistently suboptimal uptake of both drug classes in real-world practice. Some biases can never be completely excluded in real-world pharmacotherapy use studies such as this one, including confounding by indication, time-related or immortal time biases, and shifting standards of care, rendering causal interpretation unattainable; however, our results seemed consistent across numerous sensitivity analyses and designs.

Humans