24 research outputs found

    Frequent inappropriate use of unweighted summary statistics in systematic reviews of pathogen genotypes or genogroups.

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    OBJECTIVES: Our study aimed to systematically assess and report the methodological quality used in epidemiological systematic reviews (SRs) and meta-analysis (MA) of pathogen genotypes/genogroups. STUDY DESIGN AND SETTING: Nine electronic databases and manual search of reference lists were used to identify relevant studies. The method types were divided into three groups: 1) with weighted pooling analysis (which we call MA), (2) unweighted analysis of the study-level measures (which we call summary statistics), and (3) without any data pooling (which we call SR only). Characteristics were evaluated using Assessment of Multiple Systematic Reviews (AMSTAR), Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), and Risk Of Bias In Systematic reviews (ROBIS) tools. The protocol was registered in PROSPERO with CRD42017078146. RESULTS: Among 36 included articles, 5 (14%) studies conducted SR only, 16 (44%) performed MA, and 15 (42%) used summary statistics. The univariable and multivariable linear regression of AMSTAR and PRISMA scores showed that MA had higher quality compared with those with summary statistics. The SR only and summary statistics groups had approximately equal scores among three scales of AMSTAR, PRISMA, and ROBIS. The methodological quality of epidemiological studies has improved from 1999 to 2017. CONCLUSION: Despite the frequent use of unweighted summary statistics, MA remains the most suitable method for reaching rational conclusions in epidemiological studies of pathogen genotypes/genogroups

    Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

    Proteome Profile of Endogenous Retrotransposon‐Associated Complexes in Human Embryonic Stem Cells

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    Long Interspersed Element-1 (LINE-1 or L1) are transposable elements similar to retroviruses that have existed in the genome of primates for millions of years. They encode two Open Reading Frame (ORF) proteins (ORF1p and ORF2p) that bind L1 RNA to form a ribonucleoprotein (RNP) complex and are required for L1 integration into the host genome. Humans have evolved with L1 and found ways to limit L1 activity. To identify partners of the L1 RNP, previous studies used ectopic expression of L1 ORF1/2p or RNA in various cancer cells, which express low levels of the ORF proteins. Whether naturally occurring L1 RNP interacts with the same proteins in non-cancer cells is unknown. Here, the aim is to examine the natural assembly of endogenous L1 RNPs in normal human cells. L1 elements are expressed in human embryonic stem cells (hESCs), derived from pre-implantation embryos. Therefore, these cells are used to immunoprecipitate ORF1p followed by MS to identify proteins that associate with the naturally-occurring L1 ORF1p. Some of the same proteins as well as unique proteins are found interacting with the endogenous L1 ORF1p complexes. The analysis of ORF1p-associated proteins in hESCs can help address important questions in both retrotransposon biology and the biology of hESCs
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