1. |
- Liu, Lei, et al.
(author)
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Irreversible phase transitions of the multiferroic oxide Mn3TeO6 at high pressures
- 2022
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In: Applied Physics Letters. - : American Institute of Physics (AIP). - 0003-6951 .- 1077-3118. ; 121:4
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Journal article (peer-reviewed)abstract
- Due to their large bandgaps, multiferroic oxides, the promising candidates for overcoming the disadvantages of metal-halide perovskites as light absorbers, have so far very limited use in solar cell applications. Previous investigations demonstrate that high pressure represents an efficient tool for tuning the bandgap of multiferroic Mn3TeO6 (MTO). However, the underlying mechanism of the giant bandgap reduction discovered in MTO remains unclear, which critically prevents the design of next-generation light absorbers. In this study, we performed in situ x-ray diffraction analyses on the structure evolution of MTO upon compression and decompression, discovering a sequence of irreversible phase transitions R(3)over bar -> C2/c -> P2(1)/n. The experimental results, supported by electronic structure calculations, show the shortening of Mn-O-Mn bonding, and, to a lower extent, the decrease in connectivity of octahedra across the phase transition, explain the giant bandgap reduction of MTO. These findings will facilitate the design and synthesis of next-generation light absorbers in solar cells.
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2. |
- Ma, Yue, et al.
(author)
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Acid suppressants use and risk of atherosclerotic cardiovascular disease in middle-aged and older adults
- 2022
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In: Atherosclerosis. - : Elsevier BV. - 0021-9150. ; 358, s. 47-54
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Journal article (peer-reviewed)abstract
- Background and aims: Concerns regarding adverse events associated with the use of acid suppressants have increased. However, the impact of proton pump inhibitors (PPIs) and histamine‐2 receptor antagonists (H2RAs) on the risk of atherosclerotic cardiovascular disease (ASCVD) remains unknown. This study aimed to estimate the risk of ASCVD in association with the use of PPIs and H2RAs. Methods: This prospective cohort study included participants without cardiovascular diseases or anti-hypertensive treatment at baseline (2006–2010) in the UK Biobank. The outcomes were ASCVD and each subtype (coronary artery disease, myocardial infarction, peripheral artery disease, and ischemic stroke). The association was estimated by Cox proportional-hazards models. Results: Among 316,730 individuals (aged 50–88 years), during a median of 12.5 years of follow-up, we documented 13,503 (4.3%) incident ASCVD. Regular PPIs use was associated with a higher risk of ASCVD (HR: 1.16, 95% CI: 1.09–1.23) and every subtype of ASCVD. Among each type of PPIs, omeprazole (HR: 1.19, 95% CI: 1.11–1.28), lansoprazole (HR: 1.11, 95% CI: 1.02–1.22), and pantoprazole (HR: 1.40, 95% CI: 1.00–1.97) were associated with a higher risk of ASCVD. Stratification analysis showed that PPIs use was associated with a higher risk of ASCVD among individuals without indications of medications for PPIs. In addition, use of H2RAs was not related to the risk of ASCVD (HR: 0.97, 95% CI: 0.85–1.11). Conclusions: PPIs were associated with increased risk of ASCVD, particularly amongst participants without indications for medication. Our findings are of important practical significance and suggest that clinicians should be cautious in prophylactic use of PPIs.
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3. |
- Khalili, Bita, et al.
(author)
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Associations between common genetic variants and income provide insights about the socioeconomic health gradient
- 2024
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Other publication (other academic/artistic)abstract
- We conducted a genome-wide association study (GWAS) on income among individuals of European descent and leveraged the results to investigate the socio-economic health gradient (N=668,288). We found 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes. Our GWAS-derived polygenic index captures 1 - 4% of income variance, with only one-fourth attributed to direct genetic effects. A phenome-wide association study using this polygenic index showed reduced risks for a broad spectrum of diseases, including hypertension, obesity, type 2 diabetes, coronary atherosclerosis, depression, asthma, and back pain. The income factor showed a substantial genetic correlation (0.92, s.e. = .006) with educational attainment (EA). Accounting for EA's genetic overlap with income revealed that the remaining genetic signal for higher income related to better mental health but reduced physical health benefits and increased participation in risky behaviours such as drinking and smoking.
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