48 research outputs found
Association of Maternal Body Mass Index With Risk of Infant Mortality: A Dose-Response Meta-Analysis
Objective: This study presumed that a high or low bodymass index (BMI)might increase
the risk of infant mortality. Therefore, a meta-analysis was performed to systematically
assess the association between maternal BMI and the risk of infant mortality.
Methods: The electronic databases, including Pubmed, Embase database, and
Cochrane Library, were systemically searched by two investigators from inception
to November 26th, 2020, with no language restriction. In parallel, a dose-response
was assessed.
Results: Finally, 22 cohort studies involving 13,532,293 participants were included
into this paper, which showed that compared with normal BMI, maternal overweight
significantly increased the risks of infant mortality [risk ratio (RR), 1.16; 95% confidence
interval (CI), 1.13–1.19], neonatal mortality (RR, 1.23; 95% CI, 1.08–1.39), early neonatal
mortality (RR, 1.55; 95% CI, 1.26–1.92) and post-neonatal mortality (RR, 1.18; 95% CI,
1.07–1.29). Similarly, maternal obesity significantly increased the risk of infant mortality
(RR, 1.55; 95% CI, 1.41–1.70), neonatal mortality (RR, 1.55; 95% CI, 1.28–1.67), early
neonatal mortality (RR, 1.37; 95% CI, 1.13–1.67), and post-neonatal mortality (RR, 1.30;
95% CI, 1.03–1.65), whereas maternal underweight potentially decreased the risk of
infant mortality (RR, 0.93; 95% CI, 0.88–0.98). In the dose-response analysis, the risk of
infant mortality significantly increased when the maternal BMI was >25 kg/m2.
Conclusions: Maternal overweight or obesity significantly increases the risks of
infant mortality, neonatal mortality, early neonatal mortality, and post-neonatal mortality
compared with normal BMI in a dose-dependentmanner. Besides,maternal underweight
will not increase the risk of infant mortality, neonatal mortality, early neonatal mortality, or
postneonatal mortality; instead, it tends to decrease the risk of infant mortality. Early
weight management may provide potential benefits to infants, and more large-scale
prospective studies are needed to verify this finding in the future
Antibiotic-Resistant Extended Spectrum ß-Lactamase- and Plasmid-Mediated AmpC-Producing Enterobacteriaceae Isolated from Retail Food Products and the Pearl River in Guangzhou, China
Characterization of Extended-Spectrum β-Lactamase-Producing Enterobacteriaceae From Retail Food in China
In this study, we characterized the β-lactamase genes and phenotypic resistance of cephalosporin-resistant Enterobacteriaceae isolated from retail foods in China. Of 1,024 Enterobacteriaceae isolates recovered from raw meat products, aquatic products, raw vegetables, retail-level ready-to-eat (RTE) foods, frozen foods, and mushrooms from 2011 to 2014, 164 (16.0%) showed cefotaxime (CTX) and/or ceftazidime (CAZ) cephalosporin resistance, and 96 (9.4%) showed the extended-spectrum β-lactamase (ESBL) phenotype. More than 30% isolates were resistant to all antimicrobial agents except carbapenems (MEM 3.1% and IPM 5.2%), cefoxitin (FOX 6.3%), and amoxicillin/clavulanic acid (AMC 26%), and 94.8% of the strains were resistant to up to seven antibiotics. Polymerase chain reaction analysis showed that blaTEM (81.9%) was the most common gene, followed by blaCTX-M (68.1%) and blaSHV (38.9%). Moreover, 16.8% (72/429) of food samples contained ESBL-positive Enterobacteriaceae, with the following patterns: 32.9% (23/70) in frozen foods, 27.2% (5/29) in mushrooms, 17.6% (24/131) in raw meats, 13.3% (4/30) in fresh vegetables, 11.1% (8/72) in RTE foods, and 9.3% (9/97) in aquatic products. In addition, 24 of 217 foods collected in South China (11.1%), 25 of 131 foods collected in North of the Yangtze River region (19.1%), and 23 of 81 foods collected in South of the Yangtze River region (28.4%) were positive for ESBL- Enterobacteriaceae. Conjugation experiments demonstrated that the 22 of 72 isolates were transconjugants that had received the β-lactamase gene and were resistant to β-lactam antibiotics as well as some non-β-lactam antibiotics. These findings demonstrated that retail foods may be reservoirs for the dissemination of β-lactam antibiotics and that resistance genes could be transmitted to humans through the food chain; and the predominant ESBL-producing Enterobacteriaceae in China was isolated from in frozen chicken-meat, followed by frozen pork, cold noodles in sauce, cucumber, raw chicken meat, frozen pasta, brine-soaked chicken and tomato
MICA: A fast short-read aligner that takes full advantage of Many Integrated Core Architecture (MIC)
Background: Short-read aligners have recently gained a lot of speed by exploiting the massive parallelism of GPU. An uprising alterative to GPU is Intel MIC; supercomputers like Tianhe-2, currently top of TOP500, is built with 48,000 MIC boards to offer ~55 PFLOPS. The CPU-like architecture of MIC allows CPU-based software to be parallelized easily; however, the performance is often inferior to GPU counterparts as an MIC card contains only ~60 cores (while a GPU card typically has over a thousand cores). Results: To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC's limitation and the extra parallelism inside each MIC core. By utilizing the 512-bit vector units in the MIC and implementing a new seeding strategy, experiments on aligning 150 bp paired-end reads show that MICA using one MIC card is 4.9 times faster than BWA-MEM (using 6 cores of a top-end CPU), and slightly faster than SOAP3-dp (using a GPU). Furthermore, MICA's simplicity allows very efficient scale-up when multiple MIC cards are used in a node (3 cards give a 14.1-fold speedup over BWA-MEM). Summary: MICA can be readily used by MIC-enabled supercomputers for production purpose. We have tested MICA on Tianhe-2 with 90 WGS samples (17.47 Tera-bases), which can be aligned in an hour using 400 nodes. MICA has impressive performance even though MIC is only in its initial stage of development. Availability and implementation: MICA's source code is freely available at http://sourceforge.net/projects/mica-aligner under GPL v3. Supplementary information: Supplementary information is available as "Additional File 1". Datasets are available at www.bio8.cs.hku.hk/dataset/mica.published_or_final_versio
Vertical heterogeneity of hydrocarbon-degrading bacteria in a core sediment sample from the Central Indian Ridge
Hydrocarbons are ubiquitous in marine environments and might fuel hydrocarbon-metabolizing microbes in the ocean. Numerous studies have documented microbial hydrocarbon degradation in water columns and deep-sea surface sediment. However, the degradation potential and biogeochemical cycling of hydrocarbons in subsurface sediments remain largely unknown. In this study, we used two different hydrocarbons, n-hexadecane (HEX) and methylcyclohexane (MCH), to investigate the distribution and diversity of hydrocarbon-consuming bacteria in a core sediment sample from the Central Indian Ridge (CIR), which is adjacent to mid-ridge hydrothermal vents in the Indian Ocean. We observed different vertical profiles of HEX- and MCH-degrading bacteria in the core sediments. Specifically, HEX-degrading bacteria were universally distributed, while MCH-degrading bacteria were found only in the intermediate layers of the core sediments. Changing factors including dissolved oxygen might affect the natural distribution of different hydrocarbon consumers. We found that a novel species of the genus C1-B045 might play a pivotal role in metabolizing MCH in the CIR deep biosphere. Through amino acid identity comparison with published sequences, we determined that C1-B045 harbors two novel classes of cyclohexanone monooxygenases involved in MCH metabolism. This study sheds light on the structure and function of hydrocarbon-consuming microbes in deep biospheres
A literature review: mechanisms of antitumor pharmacological action of leonurine alkaloid
Leonurine refers to the desiccated aerial portion of a plant in the Labiatae family. The primary bioactive constituent of Leonurine is an alkaloid, Leonurine alkaloid (Leo), renowned for its substantial therapeutic efficacy in the treatment of gynecological disorders, in addition to its broad-spectrum antineoplastic capabilities. Over recent years, the pharmacodynamic mechanisms of Leo have garnered escalating scholarly interest. Leo exhibits its anticancer potential by means of an array of mechanisms, encompassing the inhibition of neoplastic cell proliferation, induction of both apoptosis and autophagy, and the containment of oncogenic cell invasion and migration. The key signal transduction pathways implicated in these processes include the Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand (TRAIL), the Phosphoinositide3-Kinase/Serine/Threonine Protein Kinase (PI3K/AKT), the Signal Transducer and Activator of Transcription 3 (STAT3), and the Mitogen-Activated Protein/Extracellular Signal-Regulated Kinase (MAP/ERK). This paper commences with an exploration of the principal oncogenic cellular behaviors influenced by Leo and the associated signal transduction pathways, thereby scrutinizing the mechanisms of Leo in the antineoplastic sequence of events. The intention is to offer theoretical reinforcement for the elucidation of more profound mechanisms underpinning Leo’s anticancer potential and correlating pharmaceutical development
The Fabrication of Nanoimprinted P3HT Nanograting by Patterned ETFE Mold at Room Temperature and Its Application for Solar Cell
Multi-hierarchy control strategy in abc coordinate for modular multilevel matrix converter in fractional frequency transmission system
This paper proposes a multi-hierarchy control strategy in abc coordinate for modular multilevel matrix converter (M^3C) in fractional frequency transmission system (FFTS). The proposed control strategy avoids complicated coordinate transformations when the traditional control strategies based on coordinate transformation are adopted. Four hierarchies are designed to balance the capacitor voltages. In different hierarchies, the capacitor voltage ripples have different frequencies. According to this characteristic, different bandwidths of filters are adopted in different hierarchies, resulting in different control speeds among the four hierarchies. This will not only speed up the control but also assure the control accuracy. Simulation results verify the feasibility and effectiveness of the proposed strategy
Association of Maternal Body Mass Index With Risk of Infant Mortality: A Dose-Response Meta-Analysis
Objective: This study presumed that a high or low bodymass index (BMI)might increase
the risk of infant mortality. Therefore, a meta-analysis was performed to systematically
assess the association between maternal BMI and the risk of infant mortality.
Methods: The electronic databases, including Pubmed, Embase database, and
Cochrane Library, were systemically searched by two investigators from inception
to November 26th, 2020, with no language restriction. In parallel, a dose-response
was assessed.
Results: Finally, 22 cohort studies involving 13,532,293 participants were included
into this paper, which showed that compared with normal BMI, maternal overweight
significantly increased the risks of infant mortality [risk ratio (RR), 1.16; 95% confidence
interval (CI), 1.13–1.19], neonatal mortality (RR, 1.23; 95% CI, 1.08–1.39), early neonatal
mortality (RR, 1.55; 95% CI, 1.26–1.92) and post-neonatal mortality (RR, 1.18; 95% CI,
1.07–1.29). Similarly, maternal obesity significantly increased the risk of infant mortality
(RR, 1.55; 95% CI, 1.41–1.70), neonatal mortality (RR, 1.55; 95% CI, 1.28–1.67), early
neonatal mortality (RR, 1.37; 95% CI, 1.13–1.67), and post-neonatal mortality (RR, 1.30;
95% CI, 1.03–1.65), whereas maternal underweight potentially decreased the risk of
infant mortality (RR, 0.93; 95% CI, 0.88–0.98). In the dose-response analysis, the risk of
infant mortality significantly increased when the maternal BMI was >25 kg/m2.
Conclusions: Maternal overweight or obesity significantly increases the risks of
infant mortality, neonatal mortality, early neonatal mortality, and post-neonatal mortality
compared with normal BMI in a dose-dependentmanner. Besides,maternal underweight
will not increase the risk of infant mortality, neonatal mortality, early neonatal mortality, or
postneonatal mortality; instead, it tends to decrease the risk of infant mortality. Early
weight management may provide potential benefits to infants, and more large-scale
prospective studies are needed to verify this finding in the future