Publications

Background and Aims: Growing data suggest that antibiotic use, which may alter the gut microbiome, is related to risk of cardiovascular disease (CVD) and mortality. However, evidence from prospective cohort studies is still scarce; and no large prospective study has investigated associations between cumulative antibiotic use during adulthood and risk of CVD. We aimed to examine duration of antibiotic use and risk of CVD among apparently healthy women from the Nurses’ Health Study (NHS). Methods: This study included 36,922 women without history of myocardial infarction (MI), angina pectoris, stroke, or cancer in the NHS and with available data on total days of antibiotics use per year (0 to <15 days, 15 days to <2 months, or 2 months or more) during ages 20-39, 40-59 and after age 60, as reported on the 2004 questionnaire. Incidence of CVD (MI or stroke) over 8 years was assessed. Hazard ratios (HRs) were estimated as categories of duration of use compared with the none to <15 days per year group, using multivariate-adjusted Cox proportional hazards model including traditional risk factors (such as demographic variables, hypertension, diabetes, hypercholesterolemia, smoking, physical activity, Alternative Healthy Eating Index score, body mass index, aspirin, and anti-inflammatory medication), and reasons for antibiotics use (respiratory infection, urinary tract infections, acne or rosacea, chronic bronchitis, or dental), as well as other medications (such as H2 blockers, proton pump inhibitors), and other diseases (such as lung or kidney disease). Results: As compared to women with “none to <15 days per year of use” during age 40-59 y, those with a history of antibiotics use “15 days to < 2 months” or “2 months or more” had a significantly increased risk of CVD with an adjusted hazard ratio (HR [95%CI])_ of 1.19 (1.03, 1.38) and 1.34 (1.08, 1.66), respectively. Reported use of antibiotics for 2 months or more per year after age 60 was also associated with a HR of 1.24 (1.02, 1.51) for CVD. A longer exposure of antibiotics use was more strongly associated with increased risk of stroke than MI Antibiotic use during young adulthood (age 20-39) was not significantly associated with elevated risk of CVD. Conclusions: Our results suggest greater duration of exposure to antibiotics in middle- and older adulthood may be related to an increased risk of future CVD, independent of traditional risk factors.

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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIntermolecular activation of carbon-deuterium bonds in benzene-d6 by trans-neopentyl(trifluoromethanesulfonato)bis(trimethylphosphine)platinum(II)Robert L. Brainard, W. Rodger Nutt, T. Randall Lee, and George M. WhitesidesCite this: Organometallics 1988, 7, 11, 2379–2386Publication Date (Print):November 1, 1988Publication History Published online1 May 2002Published inissue 1 November 1988https://pubs.acs.org/doi/10.1021/om00101a019https://doi.org/10.1021/om00101a019research-articleACS PublicationsRequest reuse permissionsArticle Views324Altmetric-Citations63LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts

Abstract Context The potential associations between acylcarnitine profiles and incidence of type 2 diabetes (T2D) and whether acylcarnitines can be used to improve diabetes prediction remain unclear. Objective To evaluate the associations between baseline and 1-year changes in acylcarnitines and their diabetes predictive ability beyond traditional risk factors. Design, Setting, and Participants We designed a case-cohort study within the PREDIMED Study including all incident cases of T2D (n = 251) and 694 randomly selected participants at baseline (follow-up, 3.8 years). Plasma acylcarnitines were measured using a targeted approach by liquid chromatography–tandem mass spectrometry. We tested the associations between baseline and 1-year changes in individual acylcarnitines and T2D risk using weighted Cox regression models. We used elastic net regressions to select acylcarnitines for T2D prediction and compute a weighted score using a cross-validation approach. Results An acylcarnitine profile, especially including short- and long-chain acylcarnitines, was significantly associated with a higher risk of T2D independent of traditional risk factors. The relative risks of T2D per SD increment of the predictive model scores were 4.03 (95% CI, 3.00 to 5.42; P < 0.001) for the conventional model and 4.85 (95% CI, 3.65 to 6.45; P < 0.001) for the model including acylcarnitines, with a hazard ratio of 1.33 (95% CI, 1.08 to 1.63; P < 0.001) attributed to the acylcarnitines. Including the acylcarnitines into the model did not significantly improve the area under the receiver operator characteristic curve (0.86 to 0.88, P = 0.61). A 1-year increase in C4OH-carnitine was associated with higher risk of T2D [per SD increment, 1.44 (1.03 to 2.01)]. Conclusions An acylcarnitine profile, mainly including short- and long-chain acylcarnitines, was significantly associated with higher T2D risk in participants at high cardiovascular risk. The inclusion of acylcarnitines into the model did not significantly improve the T2D prediction C-statistics beyond traditional risk factors, including fasting glucose.

The inflammatory and insulinemic potentials of diets have been associated with colorectal cancer risk. However, it is unknown whether the plasma metabolite profiles related to inflammatory diets, or to insulinemic diets, underlie this association. The aim of this study was to evaluate the association between metabolomic profile scores related to the food-based empirical dietary inflammatory patterns (EDIP), the empirical dietary index for hyperinsulinemia (EDIH), and plasma inflammation (CRP, IL-6, TNFα-R2, adiponectin) and insulin (C-peptide) biomarkers, and colorectal cancer risk. Elastic net regression was used to derive three metabolomic profile scores for each dietary pattern among 6840 participants from the Nurses’ Health Study and Health Professionals Follow-up Study, and associations with CRC risk were examined using multivariable-adjusted logistic regression, in a case-control study of 524 matched pairs nested in both cohorts. Among 186 known metabolites, 27 were significantly associated with both the EDIP and inflammatory biomarkers, and 21 were significantly associated with both the EDIH and C-peptide. In men, odds ratios (ORs) of colorectal cancer, per 1 standard deviation (SD) increment in metabolomic score, were 1.91 (1.31–2.78) for the common EDIP and inflammatory-biomarker metabolome, 1.12 (0.78–1.60) for EDIP-only metabolome, and 1.65 (1.16–2.36) for the inflammatory-biomarkers-only metabolome. However, no association was found for EDIH-only, C-peptide-only, and the common metabolomic signatures in men. Moreover, the metabolomic signatures were not associated with colorectal cancer risk among women. Metabolomic profiles reflecting pro-inflammatory diets and inflammation biomarkers were associated with colorectal cancer risk in men, while no association was found in women. Larger studies are needed to confirm our findings.

In article number 2000383, Conor J. Walsh and co-workers present a thermally actuated robotic textile driven by liquid-vapor phase change. A laminated batch fabrication process enables manufacturing of customizable individual and arrayed soft robotic textile modules incorporating a resistive textile heater and a capacitive textile pressure sensor. These modular robotic textiles actuate with pressure-based feedback, allowing them to maintain actuation profiles during environmental uncertainty.

BackgroundAdults born preterm have higher levels of cardiometabolic risk factors than their term-born peers. Studies have suggested that at least those born smallest eat less healthily. We examined the association between early (<34 weeks) and late (34-36 weeks) preterm birth and diet and food preferences in adult age.MethodsParticipants of two cohort studies located in Finland completed a validated food frequency questionnaire (FFQ) at the age of 24 years to assess their usual diet and the adherence to healthy eating guidelines by using a recommended diet index (RDI). Overall, 182 were born early preterm, 352 late preterm, and 631 were term-born controls.ResultsYoung women born early preterm scored 0.77 points (95% confidence interval (CI) 0.03, 1.51) lower in RDI when adjusted for sex, age, parental education, and early-life confounders, indicating a lower quality of diet. There were no differences between young women born late preterm and controls or among men. When food groups were assessed separately, men born early preterm had lower consumption of fruits and berries than controls.ConclusionsYoung women born early preterm have poorer adherence to the healthy eating guidelines than their peers born at term. Differences in diet may contribute to an increased cardiometabolic risk among adults born early preterm.

Objective Tumour biomarkers are used as indicators for cancer screening and as predictors for therapeutic responses and prognoses in cancer patients. We aimed to identify genetic loci that influence concentrations of cancer antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA) and α fetoprotein (AFP), and investigated the associations between the significant single nucleotide polymorphisms (SNPs) with risks of oesophageal squamous cell (OSCC), pancreatic and hepatocellular cancers. Design We carried out a genome wide association study on plasma CA19-9, CEA and AFP concentrations in 3451 healthy Han Chinese and validated the results in 10 326 individuals. Significant SNPs were further investigated in three case control studies (2031 OSCC cases and 2044 controls; 981 pancreatic cancer cases and 1991 controls; and 348 hepatocellular cancer cases and 359 controls). Results The analyses showed association peaks on three genetic loci for CA19-9 ( FUT6-FUT3 at 19p13.3, FUT2 - CA11 at 19q13.3 and B3GNT3 at 19p13.1; p=1.16×10 −13 –3.30×10 −290 ); four for CEA ( ABO at 9q34.2, FUT6 at 19p13.3, FUT2 at 19q13.3 and FAM3B at 21q22.3; p=3.33×10 −22 –5.81×10 −209 ); and two for AFP ( AFP at 4q11-q13 and HISPPD2A at 15q15.3; p=3.27×10 −18 and 1.28×10 −14 ). These explained 17.14% of the variations in CA19-9, 8.95% in CEA and 0.57% in AFP concentrations. Significant ABO variants were also associated with risk of OSCC and pancreatic cancers, and AFP variants with risk of hepatocellular cancer (p&lt;0.05). Conclusions This study identified several loci associated with CA19-9, CEA and AFP concentrations. The ABO variants were associated with risk of OSCC and pancreatic cancers and AFP variants with risk of hepatocellular cancer.

In this study population, the CAD risk associated with the 9p21 variant was increased in the presence of poor glycemic control in type 2 diabetes.

On the basis of available studies of free-living populations globally, biomarker concentrations of seafood and plant-derived ω-3 fatty acids are associated with a modestly lower incidence of fatal CHD.