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Public Health Research Institute
Healthcare•
About: Public Health Research Institute is a based out in . It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 4889 authors who have published 8149 publications receiving 276945 citations.
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Erasmus University Medical Center1, Medical University of Warsaw2, University of Valencia3, University of Porto4, Stockholm County Council5, Paris Descartes University6, Sorbonne7, University of Crete8, Maastricht University9, University of Southern California10, French Institute of Health and Medical Research11, National and Kapodistrian University of Athens12, University Medical Center Groningen13, University of Southampton14, Liverpool School of Tropical Medicine15, Norwegian Institute of Public Health16, Karolinska Institutet17, University of Bologna18, University Hospital Southampton NHS Foundation Trust19, Ludwig Maximilian University of Munich20, Nofer Institute of Occupational Medicine21, University of California, Davis22, University of Illinois at Chicago23, University of Western Australia24, National Institutes of Health25, University College Cork26, University of Bristol27, University of Turku28, Helmholtz Centre for Environmental Research - UFZ29, Jagiellonian University Medical College30, Åbo Akademi University31, Harokopio University32, University College Dublin33, University of Calgary34, Public Health Research Institute35, University of Southern Denmark36, University of Copenhagen37, La Trobe University38, Harvard University39, University of Helsinki40, University of Turin41, University of Trieste42, University of Bergen43, Slovak Medical University44, Boston Children's Hospital45, Utrecht University46, Pompeu Fabra University47, Bradford Royal Infirmary48
TL;DR: In this article, the authors conducted an individual participant data meta-analysis of data from 162,129 mothers and children from 37 pregnancy and birth cohort studies from Europe, North-America and Australia, using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal socio-demographic and life style related characteristics.
Abstract: Background:
Maternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these risks differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact.
Methods and Findings:
We conducted an individual participant data meta-analysis of data from 162,129 mothers and children from 37 pregnancy and birth cohort studies from Europe, North-America and Australia. We assessed the individual and combined associations of maternal pre-pregnancy BMI and gestational weight gain, both in clinical categories and across their full ranges with the risks of overweight/obesity in early- (2.0-5.0 years), mid- (5.0-10.0 years) and late childhood (10.0-18.0 years), using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal socio-demographic and life style related characteristics. We observed that a higher maternal pre-pregnancy BMI and gestational weight gain both in clinical categories and across their full ranges were associated with higher risks of childhood overweight/obesity, with the strongest effects in late childhood (Odds Ratios (OR) for overweight/obesity in early-, mid- and late childhood, respectively: 1.66 (95% Confidence Interval (CI): 1.56, 1.78), OR 1.91 (95% CI: 1.85, 1.98), and OR 2.28 (95% CI: 2.08, 2.50) for maternal overweight, OR 2.43 (95% CI: 2.24, 2.64), OR 3.12 (95% CI: 2.98, 3.27), and OR 4.47 (95% CI: 3.99, 5.23) for maternal obesity, and OR 1.39 (95% CI: 1.30, 1.49), OR 1.55 (95% CI: 1.49, 1.60), and 1.72 (95% CI: 1.56, 1.91) for excessive gestational weight gain. The proportions of childhood overweight/obesity prevalence attributable to maternal overweight, maternal obesity and excessive gestational weight gain ranged from 10.2 to 21.6%. Relative to the effect of maternal BMI, excessive gestational weight gain only slightly increased the risk of childhood overweight/obesity within each clinical BMI category (P-values for interactions of maternal BMI with gestational weight gain: p=0.038, p<0.001 and p=0.637, in early-, mid- and late childhood, respectively). Limitations of this study include the self-report of maternal BMI and gestational weight gain for some of the cohorts, and the potential of residual confounding. Also, as this study only included participants from Europe, North-America and Australia, results need to be interpreted with caution with respect to other populations.
Conclusions:
In this study, higher maternal pre-pregnancy BMI and gestational weight gain were associated with an increased risk of childhood overweight/obesity, with the strongest effects at later ages. The additional effect of gestational weight gain in women who are overweight or obese before pregnancy is small. Given the large population impact, future intervention trials aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight status before pregnancy, in addition to weight gain during pregnancy.
248 citations
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TL;DR: The results suggest that overexpression of one or both of these newly identified drug efflux pump genes of A. fumigatus and/or selection of drug target site mutations are linked to high-level itraconazole resistance and are mechanistic considerations for the emergence of clinical resistance to itraconsazole.
Abstract: A collection of Aspergillus fumigatus mutants highly resistant to itraconazole (RIT) at 100 μg ml−1 were selected in vitro (following UV irradiation as a preliminary step) to investigate mechanisms of drug resistance in this clinically important pathogen. Eight of the RIT mutants were found to have a mutation at Gly54 (G54E, -K, or -R) in the azole target gene CYP51A. Primers designed for highly conserved regions of multidrug resistance (MDR) pumps were used in reverse transcriptase PCR amplification reactions to identify novel genes encoding potential MDR efflux pumps in A. fumigatus. Two genes, AfuMDR3 and AfuMDR4, showed prominent changes in expression levels in many RIT mutants and were characterized in more detail. Analysis of the deduced amino acid sequence encoded by AfuMDR3 revealed high similarity to major facilitator superfamily transporters, while AfuMDR4 was a typical member of the ATP-binding cassette superfamily. Real-time quantitative PCR with molecular beacon probes was used to assess expression levels of AfuMDR3 and AfuMDR4. Most RIT mutants showed either constitutive high-level expression of both genes or induction of expression upon exposure to itraconazole. Our results suggest that overexpression of one or both of these newly identified drug efflux pump genes of A. fumigatus and/or selection of drug target site mutations are linked to high-level itraconazole resistance and are mechanistic considerations for the emergence of clinical resistance to itraconazole.
248 citations
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02 Dec 2019
TL;DR: Although some trials showed potential of apps targeting mental health symptoms, using smartphone apps as standalone psychological interventions cannot be recommended based on the current level of evidence.
Abstract: While smartphone usage is ubiquitous, and the app market for smartphone apps targeted at mental health is growing rapidly, the evidence of standalone apps for treating mental health symptoms is still unclear. This meta-analysis investigated the efficacy of standalone smartphone apps for mental health. A comprehensive literature search was conducted in February 2018 on randomized controlled trials investigating the effects of standalone apps for mental health in adults with heightened symptom severity, compared to a control group. A random-effects model was employed. When insufficient comparisons were available, data was presented in a narrative synthesis. Outcomes included assessments of mental health disorder symptom severity specifically targeted at by the app. In total, 5945 records were identified and 165 full-text articles were screened for inclusion by two independent researchers. Nineteen trials with 3681 participants were included in the analysis: depression (k = 6), anxiety (k = 4), substance use (k = 5), self-injurious thoughts and behaviors (k = 4), PTSD (k = 2), and sleep problems (k = 2). Effects on depression (Hedges’ g = 0.33, 95%CI 0.10–0.57, P = 0.005, NNT = 5.43, I2 = 59%) and on smoking behavior (g = 0.39, 95%CI 0.21–0.57, NNT = 4.59, P ≤ 0.001, I2 = 0%) were significant. No significant pooled effects were found for anxiety, suicidal ideation, self-injury, or alcohol use (g = −0.14 to 0.18). Effect sizes for single trials ranged from g = −0.05 to 0.14 for PTSD and g = 0.72 to 0.84 for insomnia. Although some trials showed potential of apps targeting mental health symptoms, using smartphone apps as standalone psychological interventions cannot be recommended based on the current level of evidence.
248 citations
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TL;DR: The authors raised the question whether tubercle bacilli growing in living tissue produce the same characteristic chemical compounds that are found in bacsilli grown in vitro, as well as investigating the relationship between the host environment and the pathogenicity of these bacteria.
Abstract: Most of our knowledge concerning the tubercle bacillus stems from studies on bacteria grown under standard laboratory conditions in vitro. Numerous attempts have been made to determine indirectly the relationship between the host environment and the pathogenicity of the tubercle bacillus by a study of the comparative reaction of virulent and avirulent strains to various conditions occurring in the host environment. Although some consistent correlations have been made, the results are open to question since interpretation is based on the assumption that virulent tubercle bacilli grown artificially are identical with bacilli as they multiply in the tissues of an infected animal. This assumption is implicit in most of the work done on the tubercle bacillus. However, there have been isolated reports in the literature indicating a lack of identity between in vitro and in vivo grown tubercle bacilli. Anderson et al. (1943) were unable to detect in tuberculous lung tissue several chemical compounds (phthiocol, tuberculostearic acid, phthioic acid, and specific polysaccharide) that are characteristic constituents of human tubercle bacillus cultivated on artificial medium. These authors raised the question whether tubercle bacilli growing in living tissue produce the same characteristic chemical compounds that are found in bacilli grown in vitro. Sheehan and Whitwell (1949) concluded that a difference exists between the lipid content of artificially cultured tubercle bacilli and that of the organisms in pathological lesions on the basis of their differential method of \"sudan black B\" staining.
247 citations
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19 Feb 1993TL;DR: In this paper, a method of sorting mixtures of nucleic acid strands comprising hybridizing the strands to an array of immobilized oligonucleotides, each of which includes a constant segment adjacent to a variable segment, was proposed.
Abstract: A method of sorting mixtures of nucleic acid strands comprising hybridizing the strands to an array of immobilized oligonucleotides, each of which includes a constant segment adjacent to a variable segment. The constant segment of the immobilized oligonucleotides can be made complementary to the ends of strands obtained by digesting a double-stranded nucleic acid with a restriction enzyme and restoring the restriction sites, thereby permitting the sorting of strands according to their variable sequences adjacent to their constant terminal restored restriction sites.
247 citations
Authors
Showing all 4916 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dorret I. Boomsma | 176 | 1507 | 136353 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Michael Snyder | 169 | 840 | 130225 |
Lex M. Bouter | 158 | 767 | 103034 |
David Eisenberg | 156 | 697 | 112460 |
Philip Scheltens | 140 | 1175 | 107312 |
Pim Cuijpers | 136 | 982 | 69370 |
Gonneke Willemsen | 129 | 575 | 76976 |
Britton Chance | 128 | 1112 | 76591 |
Coen D.A. Stehouwer | 122 | 970 | 59701 |
Peter J. Anderson | 120 | 966 | 63635 |
Jouke-Jan Hottenga | 120 | 389 | 63039 |
Eco J. C. de Geus | 119 | 522 | 61085 |
Johannes Brug | 109 | 620 | 44832 |
Paul Lips | 109 | 491 | 50403 |