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19 pages, 1474 KiB  
Article
Molecular Characterization of MDR and XDR Clinical Strains from a Tertiary Care Center in North India by Whole Genome Sequence Analysis
by Uzma Tayyaba, Shariq Wadood Khan, Asfia Sultan, Fatima Khan, Anees Akhtar, Geetha Nagaraj, Shariq Ahmed and Bhaswati Bhattacharya
J. Oman Med. Assoc. 2024, 1(1), 29-47; https://doi.org/10.3390/joma1010005 - 24 Sep 2024
Abstract
Whole genome sequencing (WGS) has the potential to greatly enhance AMR (Anti-microbial Resistance) surveillance. To characterize the prevalent pathogens and dissemination of various AMR-genes, 73 clinical isolates were obtained from blood and respiratory tract specimens, were characterized phenotypically by VITEK-2 (bioMerieux), and 23 [...] Read more.
Whole genome sequencing (WGS) has the potential to greatly enhance AMR (Anti-microbial Resistance) surveillance. To characterize the prevalent pathogens and dissemination of various AMR-genes, 73 clinical isolates were obtained from blood and respiratory tract specimens, were characterized phenotypically by VITEK-2 (bioMerieux), and 23 selected isolates were genotypically characterized by WGS (Illumina). AST revealed high levels of resistance with 50.7% XDR, 32.9% MDR, and 16.4% non-MDR phenotype. A total of 11 K. pneumoniae revealed six sequence types, six K-locus, and four O-locus types, with ST437, KL36, and O4 being predominant types, respectively. They carried ESBL genes CTX-M-15 (90.9%), TEM-1D (72.7%), SHV-11 (54.5%), SHV-1, SHV-28, OXA-1, FONA-5, and SFO-1; NDM-5 (72.7%) and 63.6%OXA48-like carbapenamases; 90.9%OMP mutation; dfrA12, sul-1, ermB, mphA, qnrB1, gyrA831, and pmrB1 for other groups. Virulence gene found were Yerisiniabactin (90.9%), aerobactin, RmpADC, and rmpA2. Predominant plasmid replicons were Col(pHAD28), IncFII, IncFIB(pQil), and Col440. A total of seven XDR A. baumannii showed single MLST type(2) and single O-locus type(OCL-1); with multiple AMR-genes: blaADC-73, blaOXA-66, blaOXA-23, blaNDM-1, gyrA, mphE, msrE, and tetB. Both S. aureus tested were found to be ST22, SCCmec IVa(2B), and spa type t309; multiple AMR-genes: blaZ, mecA, dfrC, ermC, and aacA-aphD. Non-MDR Enterococcus faecalis sequenced was ST 946, with multiple virulence genes. This study documents for the first-time prevalent virulence genes and MLST types, along with resistance genes circulating in our center. Full article
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<p>Distribution of bacterial isolates in different samples.</p>
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<p>Bacterial species isolated from clinical samples.</p>
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<p>Distribution of AMR phenotypes in clinical isolates.</p>
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<p>MDR, XDR, and non-MDR distribution in different bacterial isolates.</p>
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17 pages, 4989 KiB  
Article
Intersensor Calibration of Spaceborne Passive Microwave Radiometers and Algorithm Tuning for Long-Term Sea Ice Trend Analysis Based on AMSR-E Observations
by Mieko Seki, Masahiro Hori, Kazuhiro Naoki, Misako Kachi and Keiji Imaoka
Remote Sens. 2024, 16(19), 3549; https://doi.org/10.3390/rs16193549 - 24 Sep 2024
Abstract
Sea ice monitoring is key to analyzing the Earth’s climate system. Long-term sea ice extent (SIE) has been continuously monitored using various spaceborne passive microwave radiometers (PMRs) since November 1978. As the lifetime of a satellite is usually approximately 5 years, bias caused [...] Read more.
Sea ice monitoring is key to analyzing the Earth’s climate system. Long-term sea ice extent (SIE) has been continuously monitored using various spaceborne passive microwave radiometers (PMRs) since November 1978. As the lifetime of a satellite is usually approximately 5 years, bias caused by differences in PMRs should be eliminated to obtain objective SIE trends. Most sea ice products have been analyzed for long-term trends with a bias adjustment based on the coarse resolution special sensor microwave imager (SSM/I) in operation for the longest period. However, since 2002, Japanese microwave radiometers of the Advanced Microwave Scanning Radiometer (AMSR) series, which have the highest spatial resolution in PMR, have been available. In this study, we developed standardization techniques for processing SIE including calibration of the brightness temperature (TB), tuning the sea ice concentration (SIC) algorithm, and adjusting the SIC threshold to retrieve a consistent SIE trend based on the AMSR for the Earth Observing System (AMSR-E, one of the AMSR that operated from May 2002 to October 2011). Analysis results showed that the root-mean-square error between AMSR-E SICs and those of moderate resolution imaging spectroradiometer (MODIS) was 15%. In this study, SIE was defined as the sum of the areas where the AMSR-E SIC was >15%. When retrieving SIE, we adjusted the SIC threshold for each PMR to be consistent with the SIE calculated based on the 15% SIC threshold for AMSR-E. We then calculated a time-series of the SIE trends over approximately 45 years using the adjusted SIE data. Therefore, we revealed the dramatic decrease in global sea ice extent since 1978. This technique enables retrieval of more accurate long-term sea ice trends for more than half a century in the future. Full article
(This article belongs to the Special Issue Monitoring Sea Ice Loss with Remote Sensing Techniques)
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<p>Schematic of the AMSR-E bootstrap algorithm. Gray circles represent sea ice areas and blue triangles correspond to open water areas or &lt;10% sea ice concentration (SIC). The thin solid line is the SIC 100% line. The red triangle (O) is the open water tie-point (SIC 0% point), and the red circle is the SIC 100% point (point A). Point B is one of the observation points. Point I is the intersection of the SIC 100% line and the extension of the OB line. The SIC at point B is the ratio of OB to OI.</p>
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<p>Open Ocean mask lines for SSM/I. Blue points correspond to ice-free or less than 10% SIC and those in gray correspond to SIC 0–100% data (all valid data). Scatter plots for (<b>a</b>) 36 V versus 18 V (36 V 18 V). The black line in (<b>a</b>) is the open ocean mask line for 36 V 18 V. Scatter plots for (<b>b</b>) 23 V against 18 V (black line) and difference in thresholds of 23 V and 18 V (red line). The black line for 23 V 18 V in (<b>b</b>) is the regression line of the residual blue points over the 36 V 18 V line. The red line at 23 V 18 V has a slope of 1.0.</p>
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<p>Comparison of the AMSR-E and MODIS SICs. The AMSR-E SIC was validated using the Aqua/MODIS sea ice/cloud flag (MYD29) throughout the Northern and Southern Hemispheres. The figure represents a sample of the validated area. (<b>a</b>) Validation area map (26 June 2006, 14:10 UTC). (<b>b</b>) Aqua/MODIS RGB (R: 7 ch G: 2 ch B: 1 ch). Pink and white are clouds, blue is sea ice, black is open water, and gray is no observation. (<b>c</b>) SIC differences between AMSR-E and MODIS (AMSR-E minus MODIS equals difference). To validate the AMSR-E SIC, clear-sky pixels (80% cloud-free) were selected. MODIS SIC was derived as a fraction of the MYD29 sea ice flag (spatial resolution of 1 km) within the AMSR-E footprint size (14.4 × 8.2 km).</p>
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<p>Differences in the SIC between AMSR-E and MODIS (AMSR-E minus MODIS equals difference) were plotted in the (<b>a</b>) Northern and (<b>b</b>) Southern Hemispheres in 2006.</p>
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<p>Root-mean-square error (RMSE) and bias (AMSR-E minus MODIS) of AMSR-E compared with those of MODIS in the entire (<b>a</b>) Northern and (<b>b</b>) Southern Hemispheres in 2006. MODIS SIC = 0, 20, 40, 60, 80, and 100% plot indicates the average RMSE and bias of MODIS SIC = 0%, 0% &lt; SIC ≤ 30%, 30% &lt; SIC ≤ 50%, 50% &lt; SIC ≤ 70%, 70% &lt; SIC ≤ 90%, and 90% &lt; SIC ≤ 100%, respectively. The horizontal solid lines show −15% and 15% bias.</p>
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<p>Time-series of sea ice extent (<b>a</b>) before adjusting the SIC threshold value (SSMI SIC &gt; 15% (blue line) and AMSR-E &gt; 15% (red line)) and (<b>b</b>) after adjusting the SIE of SSM/I to that of AMSR-E (SSMI SIC &gt; 21% (blue line) and AMSR-E &gt; 15% (red line)), and (<b>c</b>) time-series of sea ice extent difference of SSM/I and AMSR-E before adjusting (blue line) and after adjusting (red line) in the Northern Hemisphere.</p>
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<p>AMSR-E-based daily sea ice extent (12.5 km resolution) trends in (<b>a</b>) the Northern Hemisphere; (<b>b</b>) the Southern Hemisphere; and (<b>c</b>) both hemispheres for 45 years, i.e., from 1 November 1978, to 31 December 2023. The red lines are the sea ice extent trend per year.</p>
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<p>AMSR-E-based global yearly sea ice extent trends. The red, orange, green, and blue lines show the first, second, third, and fourth lowest SIE from November 1978 to December 2023, respectively. The first, second, third, and fourth lowest SIE were reached in 2023, 2018, 2017, and 2006, respectively. The lightest gray, light gray, and gray dotted lines show the average SIE in the 1980s, 1990s, and 2000s, respectively.</p>
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<p>(<b>a</b>) Daily sea ice extent (SIE) trends of JAXA, OSISAF, BOOT, and NASA from October 2002 to September 2003 in the Northern Hemisphere (lines with increasing to decreasing curves) and Southern (lines with decreasing to increasing curves) Hemisphere. “JAXA” is the dataset in this study. “BOOT” is the Goddard bootstrap product at NSIDC (NSIDC-0192 in <a href="#remotesensing-16-03549-t002" class="html-table">Table 2</a>). “NASA” means NASA Team product (G0192 in <a href="#remotesensing-16-03549-t002" class="html-table">Table 2</a>). “OSISAF” is OSI-SAF (Bristol/Bootstrap) product (OSI-420 in <a href="#remotesensing-16-03549-t002" class="html-table">Table 2</a>) at EUMETSAT. The black solid line and lightest gray, light gray, and gray dotted lines show the SIE of JAXA, OSISAF, BOOT, and NASA, respectively. (<b>b</b>) Difference of daily sea ice extent among the JAXA, OSISAF, BOOT, and NASA in the Northern Hemisphere (solid line) and Southern Hemisphere (dashed line). The differences of BOOT–JAXA, NASA–JAXA, and OSISAF–JAXA are the red, blue, and black lines, respectively.</p>
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<p>(<b>a</b>) AMSR-E daily sea ice extent (SIE) trends derived from different land–ocean flags from October 2002 to September 2003 in Northern (lines with increasing to decreasing curves) and Southern (lines with decreasing to increasing curves) Hemispheres. The solid line represents new land, and the dashed line indicates old land. The new land is AMSR-E-based, and the old land is SSM/I-based. (<b>b</b>) Difference of sea ice extent with new and old land in Northern (solid line) and Southern (dashed line) Hemispheres.</p>
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<p>(<b>a</b>) Effect of land filter on the AMSR-E daily sea ice extent (SIE) trends from October 2002 to September 2003 in Northern (lines with increasing to decreasing curves) and Southern (lines with decreasing to increasing curves) Hemispheres. The solid line represents the SIE applied to the land filter, and the dashed line indicates the SIE of the no land filter. (<b>b</b>) Difference of applying land filter and no land filter in Northern (solid line) and Southern Hemispheres (dashed line).</p>
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16 pages, 2934 KiB  
Article
Hepatic Transcriptome Reveals Potential Key Genes Contributing to Differential Milk Production
by Chao Du, A La Teng Zhu La, Shengtao Gao, Wenshuo Gao, Lu Ma, Dengpan Bu and Wenju Zhang
Genes 2024, 15(9), 1229; https://doi.org/10.3390/genes15091229 - 20 Sep 2024
Abstract
Background: Despite the widespread adoption of TMR or PMR and the formulas designed to sufficiently cover the cows’ requirements, individual dairy cows’ milk production varies significantly. The liver is one of the most important organs in cow lactation metabolism and plays an essential [...] Read more.
Background: Despite the widespread adoption of TMR or PMR and the formulas designed to sufficiently cover the cows’ requirements, individual dairy cows’ milk production varies significantly. The liver is one of the most important organs in cow lactation metabolism and plays an essential role in the initiation of lactation. Objectives: This study aimed to investigate the potential key genes in the liver contributing to the different milk production. Methods: We enrolled 64 cows and assigned them to high or low milk yield (MY) groups according to their first 3 weeks of milk production. We performed RNAseq for 35 liver samples with 18 from prepartum and 17 from postpartum cows. Results: The continuous milk yield observation showed a persistently higher milk yield in high MY cows than low MY cows in the first 3 weeks. High MY cows showed better feed conversion efficiency. We identified 795 differentially expressed genes (DGEs) in the liver of high MY cows compared with low MY cows, with up-regulated genes linked to morphogenesis and development pathways. Weighted gene co-expression network analysis (WGCNA) revealed four gene modules positively correlating with milk yield, and protein and lactose yield (p < 0.05). Using the intersected genes between the four gene modules and DEGs, we constructed the linear mixed-effects models and identified six hub genes positively associated and two hub genes negatively associated with milk yield (Coefficients > 0.25, p < 0.05). Random forest machine learning model training based on these eight hub genes could efficiently predict the milk yield (p < 0.001, R2 = 0.946). Interestingly, the expression patterns of these eight hub genes remained remarkably similar before and after parturition. Conclusions: The present study indicated the critical role of liver in milk production. Activated processes involved in morphogenesis and development in liver may contribute to the higher milk production. Eight hub genes identified in this study may provide genetic research materials for dairy cow breeding. Full article
(This article belongs to the Special Issue Functional Genomics and Breeding of Animals)
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<p>The high MY cows have higher feed conversion efficiency. (<b>A</b>) Schematic diagram of milk yield groupings. (<b>B</b>) Milk yield during the first three weeks in the high and low MY groups. (<b>C</b>) Comparison of the FCE between the high and low MY groups. (<b>D</b>) Regression analysis of milk yield and FCE.</p>
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<p>The liver functionality in cows exhibiting high milk yield is elevated. (<b>A</b>) AST. (<b>B</b>) TBil. (<b>C</b>) TAOC.</p>
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<p>Liver tissue transcriptomic profiles of the low and high MY cows post-calving. (<b>A</b>) Volcano plot for the differentially expressed genes (DEGs) of liver tissue of low MY cows compared with high MY cows. Significantly up-regulated and down-regulated DEGs are represented as ‘red’ and ‘green’ dots in the volcano plot, respectively. GO enrichment analysis of DEGs between the (<b>B</b>) high MY and (<b>C</b>) low MY groups. (<b>D</b>) KEGG enrichment analysis of DEGs in the high MY group.</p>
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<p>Implementation of WGCNA and identification of key module genes. (<b>A</b>) The soft-thresholding power (β) was set to eight, which guaranteed a scale with an R<sup>2</sup> value of 0.9. (<b>B</b>) Dendrogram of co-expression network modules in WGCNA based on dissimilarity metrics. (<b>C</b>) Heat map of the correlation between gene co-expression modules and milk production. The red and green boxes represent the gene co-expression modules in the positive and negative directions, respectively. (<b>D</b>) Venn diagram for overlapped genes between WGCNA and DEGs. (<b>E</b>) GO enrichment analysis was performed on the intersection genes between WGCNA and up-regulated genes. * <span class="html-italic">p</span> &lt; 0.05. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Screening of hub genes. (<b>A</b>) The results of linear mixed-effects modelling of the relationship between intersection genes’ abundance and MY. Red and green dots represent intersection genes that are positively and negatively associated with milk yield, respectively. (<b>B</b>) Machine learning models for predicting milk yield were fitted. (<b>C</b>) The ranking of intersection genes’ importance in the prediction of milk yield. (<b>D</b>) The relative abundance of the eight hub genes in the liver tissues of high and low MY cows were compared before and after calving.</p>
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18 pages, 6063 KiB  
Article
Study on Thermal Oxygen Aging Characteristics and Degradation Kinetics of PMR350 Resin
by Yadan Wu, Wenchen Zhao, Yang Liu, Haitao Liu, Minglong Yang and Xun Sun
Polymers 2024, 16(18), 2552; https://doi.org/10.3390/polym16182552 - 10 Sep 2024
Abstract
The thermal stability and aging kinetics of polyimides have garnered significant research attention. As a newly developed class of high thermal stability polyimide, the thermal aging characteristics and degradation kinetics of phenylene-capped polyimide prepolymer (PMR350) have not yet been reported. In this article, [...] Read more.
The thermal stability and aging kinetics of polyimides have garnered significant research attention. As a newly developed class of high thermal stability polyimide, the thermal aging characteristics and degradation kinetics of phenylene-capped polyimide prepolymer (PMR350) have not yet been reported. In this article, the thermo-oxidative stability of PMR350 was investigated systematically. The thermal degradation kinetics of PMR350 resin under different atmospheres were also analyzed using the Flynn–Wall–Ozawa method, the Kissinger–Akahira–Sunose method, and the Friedman method. Thermogravimetric analysis (TGA) results revealed that the 5% thermal decomposition temperature (Td5%) of PMR350 in a nitrogen atmosphere was 29 °C higher than that in air, and the maximum thermal degradation rate was 0.0025%/°C, which is only one-seventh of that observed in air. Isothermal oxidative aging results indicated that the weight loss rate of PMR350 and the time-dependence relationship follow a first-order exponential growth function. PMR350 resin thermal decomposition reaction under air atmosphere includes one stage, with a degradation activation energy of approximately 57 kJ/mol. The reaction model g(α) fits the F2 model, and the integral form is given by g(α) = 1/(1 − α). In contrast, the thermal decomposition reaction under a nitrogen atmosphere consists of two stages, with degradation activation energies of 240 kJ/mol and 200 kJ/mol, respectively. The reaction models g(α) correspond to the A2 and D3 models, with the integral forms represented as g(α) = [−ln(1 − α)]2 and g(α) = [1 − (1 − α)1/3]2 due to the oxygen accelerating thermal degradation from multiple perspectives. Moreover, PMR350 resin maintained high hardness and modulus even after thermal aging at 350 °C for 300 h. The results indicate that the resin exhibits excellent resistance to thermal and oxygen aging. This study represents the first systematic analysis of the thermal stability characteristics of PMR350 resin, offering essential theoretical insights and data support for understanding the mechanisms of thermal stability modification in PMR350 and its engineering applications. Full article
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<p>(<b>a</b>) PMR350 resin curing process; (<b>b</b>) Comparison of infrared test results before and after resin curing; (<b>c</b>) Photographs of the resin cure.</p>
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<p>(<b>a</b>) TGA curve and (<b>b</b>) DTG curve of PMR350 resin.</p>
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<p>Isothermal aging weight loss curve and linear fitting curve of PMR350 resin.</p>
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<p>PMR350 resin: (<b>a</b>) 100 h surface; (<b>b</b>) 100 h section edge position; (<b>c</b>) 100 h section center position; (<b>d</b>) 200 h surface; (<b>e</b>) 200 h section edge position; (<b>f</b>) 200 h section center position; (<b>g</b>) 300 h surface; (<b>h</b>) 300 h section edge position; (<b>i</b>) 300 h SEM image of central position of section.</p>
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<p>Nanoindentation curves of PMR350 resin before and after thermal assessment.</p>
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<p>Thermal degradation of PMR350 resin under different heating rates in air atmosphere (<b>a</b>) TGA, (<b>b</b>) DTG, thermal degradation of PMR350 resin (<b>c</b>) TGA, (<b>d</b>) DTG in nitrogen atmosphere.</p>
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<p>Linear fit of the lnβ − 1000/T curve in (<b>a</b>) air and (<b>b</b>) nitrogen based on the Flynn–Wall–Ozawa method.</p>
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<p>ln(β/T<sup>2</sup>) − 1000/T linear fitting curve in (<b>a</b>) air and (<b>b</b>) nitrogen based on the Kissinger–Akahira–Sunose method.</p>
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<p>ln(βdα/dT) − 1000/T linear fitting curve in (<b>a</b>) air and (<b>b</b>) nitrogen based on the Friedman method.</p>
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<p>Relationship between Ea and the conversion rate of polyimide degradation in (<b>a</b>) air and (<b>b</b>) nitrogen.</p>
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<p>Linear fitting curve of the activation energy of the reaction according to the Coats–Redfern method under an air atmosphere.</p>
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<p>Linear fitting curve: (<b>a</b>) Process 1 and (<b>b</b>) Process 2 of reaction activation energy according to Coats–Redfern method.</p>
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12 pages, 2827 KiB  
Communication
Characterization of Antimicrobial Resistance Mechanisms and Virulence Determinants in Colistin- and Carbapenem-Resistant Pseudomonas aeruginosa
by Ellappan Kalaiarasan, Anoop Alex, Harish Belgode Narasimha and Rakesh Sehgal
Microbiol. Res. 2024, 15(3), 1814-1825; https://doi.org/10.3390/microbiolres15030121 - 6 Sep 2024
Abstract
Antibiotics like colistin can save patients infected with carbapenem-resistant Pseudomonas aeruginosa. However, patients can succumb to such infections even if they undergo colistin therapy. This prompted us to investigate the probable antimicrobial resistance mechanisms and virulence determinants involved in colistin- and carbapenem-resistant [...] Read more.
Antibiotics like colistin can save patients infected with carbapenem-resistant Pseudomonas aeruginosa. However, patients can succumb to such infections even if they undergo colistin therapy. This prompted us to investigate the probable antimicrobial resistance mechanisms and virulence determinants involved in colistin- and carbapenem-resistant P. aeruginosa (CCRPA). Of the 448 P. aeruginosa clinical strains, 19 isolates were resistant to both colistin and carbapenem. Carbapenemases and efflux pump encoding genes were assessed by multiplex PCR and qPCR, respectively. blaVIM was detected among six CCRPA isolates and blaIMP in one strain. The expression levels of pmrA and phoP, as well as pmrB genes and their association with colistin resistance, were assessed by qPCR and semi-quantitate PCR, respectively. pmrA and phoP genes were significantly enhanced in three and nine CCRPA isolates, respectively. We also phenotypically evaluated biofilms, pyocyanin, and alginate production among CCRPA strains. Alginate production was observed in 15 isolates, followed by biofilm (n = 8) and pyocyanin (n = 5). Our results highlighted the coexistence of colistin and carbapenem resistance and biofilm formation among clinical isolates of CCRPA. Further studies are required to trace the source and the origin of colistin and carbapenem resistance in this specific environment. Full article
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<p>Distribution of <span class="html-italic">P. aeruginosa</span> isolates collected from different clinical samples.</p>
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<p>Resistance pattern of <span class="html-italic">P. aeruginosa</span> isolates against different antibiotics.</p>
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<p>E-Strips showing colistin and Polymyxin B resistance in <span class="html-italic">P. aeruginosa</span> isolates.</p>
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<p>Expression levels of <span class="html-italic">pmrA</span> (<b>a</b>) and <span class="html-italic">phoP</span> (<b>b</b>) genes in 19 CCRPA and 5 CCSPA isolates. Mean values of <span class="html-italic">pmrA</span> and <span class="html-italic">phoP</span> expression levels of CCSPA isolates were 1.02 and 1.01, respectively. The error bar represents the standard deviation of three repeats. Asterisks indicate significant difference (compared with the control: *** <span class="html-italic">p</span> = 0.001; ** <span class="html-italic">p</span> = 0.01; and * <span class="html-italic">p</span> = 0.05).</p>
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<p>Transcript levels of <span class="html-italic">pmrB</span> and <span class="html-italic">rpsl</span> genes. Lane 1, 100 bp ladder. L2 and L3 show the transcript levels of <span class="html-italic">pmrB</span> and <span class="html-italic">rpsl</span> genes from a CSPA (colistin-susceptible <span class="html-italic">P. aeruginosa</span>) isolate. L4, L7, L5, and L6 show the absence of <span class="html-italic">pmrB</span> and presence of <span class="html-italic">rpsl</span> expression in two CSPA strains, respectively. L8 and L9 show transcript levels of <span class="html-italic">pmrB</span> and <span class="html-italic">rpsl</span> genes from a CCRPA (PA456), respectively.</p>
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<p>Rooted neighbor-joining (N-J) phylogenetic tree was constructed from <span class="html-italic">16SrRNA</span> gene sequences in MEGA X program. This N-J tree shows the distribution and phylogenetic relationships between 6 CCRPA strains with enhanced <span class="html-italic">pmrB</span> expressions.</p>
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12 pages, 3228 KiB  
Communication
A Quantitative Comparison of 31P Magnetic Resonance Spectroscopy RF Coil Sensitivity and SNR between 7T and 10.5T Human MRI Scanners Using a Loop-Dipole 31P-1H Probe
by Xin Li, Xiao-Hong Zhu and Wei Chen
Sensors 2024, 24(17), 5793; https://doi.org/10.3390/s24175793 - 6 Sep 2024
Abstract
In vivo phosphorus-31 (31P) magnetic resonance spectroscopy (MRS) imaging (MRSI) is an important non-invasive imaging tool for studying cerebral energy metabolism, intracellular nicotinamide adenine dinucleotide (NAD) and redox ratio, and mitochondrial function. However, it is challenging to achieve high signal-to-noise ratio [...] Read more.
In vivo phosphorus-31 (31P) magnetic resonance spectroscopy (MRS) imaging (MRSI) is an important non-invasive imaging tool for studying cerebral energy metabolism, intracellular nicotinamide adenine dinucleotide (NAD) and redox ratio, and mitochondrial function. However, it is challenging to achieve high signal-to-noise ratio (SNR) 31P MRS/MRSI results owing to low phosphorus metabolites concentration and low phosphorous gyromagnetic ratio (γ). Many works have demonstrated that ultrahigh field (UHF) could significantly improve the 31P-MRS SNR. However, there is a lack of studies of the 31P MRSI SNR in the 10.5 Tesla (T) human scanner. In this study, we designed and constructed a novel 31P-1H dual-frequency loop-dipole probe that can operate at both 7T and 10.5T for a quantitative comparison of 31P MRSI SNR between the two magnetic fields, taking into account the RF coil B1 fields (RF coil receive and transmit fields) and relaxation times. We found that the SNR of the 31P MRS signal is 1.5 times higher at 10.5T as compared to 7T, and the power dependence of SNR on magnetic field strength (B0) is 1.9. Full article
(This article belongs to the Section Sensing and Imaging)
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<p>The phosphorus-31 (<sup>31</sup>P)–proton (<sup>1</sup>H) loop-dipole probe was placed inside a coil former below an inorganic phosphate (Pi) water phantom. (<b>A</b>) The <sup>31</sup>P-<sup>1</sup>H loop-dipole probe, (<b>B</b>) the actual imaging setup for performing <sup>1</sup>H MRI and <sup>31</sup>P MRSI of the Pi phantom in the 7T and 10.5T human whole-body MRI scanners, (<b>C</b>) the graphical demonstration and (<b>D</b>) the RF coil dimensions and schematics of match/tuning networks.</p>
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<p>Prototype of a <sup>31</sup>P-<sup>1</sup>H loop-dipole probe consisting of a PCB-printed <sup>1</sup>H dipole coil on the top of an 8 cm diameter <sup>31</sup>P surface loop coil, with a 2 cm gap between the dipole and loop coils. This loop-dipole coil can be tuned and matched to the operating frequencies of 120.3 MHz for <sup>31</sup>P and 297 MHz for <sup>1</sup>H at 7T (<b>A</b>), and 180.5 MHz for <sup>31</sup>P and 447 MHz for <sup>1</sup>H at 10.5T (<b>B</b>). (<b>C</b>) In loaded condition, the network analyzer (Rohde &amp; Schwarz, Munich, Germnay) measurements show great S<sub>11</sub> and S<sub>22</sub> (reflection coefficients) for the 7T <sup>31</sup>P loop and <sup>1</sup>H dipole, respectively, with S<sub>12</sub> (coupling coefficient) between the <sup>31</sup>P loop and dipole coils being less than −20 dB at 120.3 MHz. (<b>D</b>) In loaded condition, the measured reflection coefficients for 10.5T <sup>31</sup>P loop (S<sub>11</sub>) and <sup>1</sup>H dipole coil (S<sub>22</sub>). The maximum coil coupling (S<sub>12</sub>) between the <sup>31</sup>P loop and dipole coil is less than −20 dB at 180.5 MHz.</p>
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<p>The <sup>1</sup>H MRI localizer images at (<b>A</b>) 7T and (<b>B</b>) 10.5T, respectively, in the sagittal, coronal and transversal orientations. The RF coil is placed beneath the Pi Phantom. The blue box shows the 15 cm FOV selection for <sup>31</sup>P CSI. Stronger wave effects can be observed in the 10.5T localizer images.</p>
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<p>Illustration for determining the maximum Pi signal (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>S</mi> </mrow> <mrow> <mn>90</mn> <mo>°</mo> </mrow> </msub> </mrow> </semantics></math>) value for a selected CSI voxel. (<b>A</b>) Measured <sup>31</sup>P spectral peak signal and hard pulse voltage fitting for a representative CSI voxel with the largest intensity (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>S</mi> </mrow> <mrow> <mn>90</mn> <mo>°</mo> </mrow> </msub> </mrow> </semantics></math>) for 7T. For each voxel, the spectral peak heights of multiple Pi spectra acquired with varied RF pulse voltages were fitted with a sine function to determine the <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>S</mi> </mrow> <mrow> <mn>90</mn> <mo>°</mo> </mrow> </msub> </mrow> </semantics></math> at the 90-degree nominal flip angle (FA). (<b>B</b>) <sup>31</sup>P Spectral peak signal and pulse voltage fitting for a representative CSI voxel with the largest intensity (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>S</mi> </mrow> <mrow> <mn>90</mn> <mo>°</mo> </mrow> </msub> </mrow> </semantics></math>) at 10.5T. (<b>C</b>,<b>D</b>) The <sup>31</sup>P spectrum of a representative CSI voxel near the 90-degree nominal FA, thus, with the largest intensity for 7T and 10.5T, respectively. The spectral noise levels are zoomed in 1000 times and show similar levels for both 7T and 10.5T.</p>
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<p>The SNR maps of <sup>31</sup>P MRSI at 90-degree pulse voltage under fully relaxed conditions for (<b>A</b>) 7T and (<b>B</b>) 10.5T, where the SNR is proportional to the magnetic field strength dependence term (<math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>B</mi> </mrow> <mrow> <mn>0</mn> </mrow> <mrow> <mi>β</mi> </mrow> </msubsup> </mrow> </semantics></math>) and the <span class="html-italic">B</span><sub>1</sub><span class="html-italic"><sup>−</sup></span> field (RF coil receive field). (<b>C</b>) The <span class="html-italic">B</span><sub>1</sub><span class="html-italic"><sup>+</sup></span> field (RF coil transmit field) maps normalized by excitation pulse voltage for 7T <sup>31</sup>P (operating frequency = 120.3 MHz). (<b>D</b>) <span class="html-italic">B</span><sub>1</sub><span class="html-italic"><sup>+</sup></span> field maps for 10.5T <sup>31</sup>P (operating frequency = 180.5 MHz).</p>
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<p>Three representative transversal slices of <sup>31</sup>P SNR maps of Pi acquired at 7T (<b>A</b>) and 10.5T (<b>B</b>), overlaid with 2D CSI slice (extracted from 3D CSI data) displayed with same vertical scale, acquired at 90-degree flip angle based on the global FID power calibration. The spectral noise level from one peripheral CSI voxel for 7T and 10.5T was zoomed in ×1000 times along the vertical scale, and both fields show similar spectral noise levels. This figure clearly shows a significant improvement in spectral quality and SNR at 10.5T.</p>
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33 pages, 8540 KiB  
Review
Hierarchical Approach to the Management of Drinking Water Sludge Generated from Alum-Based Treatment Processes
by Q. I. Zwane, C. S. Tshangana, O. T. Mahlangu, L. W. Snyman, T. A. M. Msagati and A. A. Muleja
Processes 2024, 12(9), 1863; https://doi.org/10.3390/pr12091863 - 31 Aug 2024
Viewed by 395
Abstract
The management of drinking water treatment plant (DWTP) sludge is challenging for water treatment facilities. Previous studies reported mainly on handling sludge through landfilling, release into water bodies, discharge into wastewater treatment plants, onsite disposal, and incineration methods for the treatment of sludge. [...] Read more.
The management of drinking water treatment plant (DWTP) sludge is challenging for water treatment facilities. Previous studies reported mainly on handling sludge through landfilling, release into water bodies, discharge into wastewater treatment plants, onsite disposal, and incineration methods for the treatment of sludge. The limitations of these sludge-handling methods are well documented. This article focuses on the hierarchical approach as an alternative and comprehensive method for handling DWTP sludge. The core of hierarchical management streamlines the minimization of the generated DWTP sludge; treatment of DWTP sludge to reduce toxicity; changing of the physicochemical form of DWTP sludge; and finally, the reuse, recycling, and recovery of DWTP sludge. The premise is to achieve zero landfilling of DWTP sludge, establish a circular economy, generate job opportunities, and preserve the environment. Thus, this study also proposes two main technologies, which are gravity-based sludge separators for fractionating the sludge and photocatalytic membrane reactors (PMRs) as a technology for the treating and/or recovery of nutrients and minerals from DWTP sludge. Until the chemical deductive or minus approach becomes a reality in water treatment, the use of PMRs and gravity-based sludge separators will enhance the management of DWTP sludge when incorporated into the hierarchical approach. Full article
(This article belongs to the Special Issue Recent Advances in Wastewater Treatment and Water Reuse)
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<p>(<b>a</b>) Total number of documents on the recycling, reuse, and recovery of sludge generated per year worldwide. (<b>b</b>) The top 10 countries with the highest number of publications on the reuse, recycling, or recovery of DWTP sludge.</p>
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<p>Conventional alum-based water treatment processes.</p>
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<p>Mass balance for a simple conventional water treatment plant at a steady state.</p>
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<p>The use of pressure in electro-osmotic processes to remove water from DWTP sludge modified from ref [<a href="#B43-processes-12-01863" class="html-bibr">43</a>].</p>
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<p>(<b>a</b>) Sludge separator, and (<b>b</b>) results from a benchtop experiment displaying the separation of water into layers (insert).</p>
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<p>(<b>a</b>) Rectangular flocculation tank, (<b>b</b>) cylindric flocculation tank, and (<b>c</b>,<b>d</b>) spiral flocculation tank.</p>
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<p>Techniques for microbe removal reproduced with permission from [<a href="#B54-processes-12-01863" class="html-bibr">54</a>].</p>
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<p>Removal mechanism for <span class="html-italic">E. coli</span> in the bioretention system modified and reproduced with permission from [<a href="#B60-processes-12-01863" class="html-bibr">60</a>].</p>
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<p>Mechanisms for the removal of excess phosphorus using alum reproduced with permission from [<a href="#B78-processes-12-01863" class="html-bibr">78</a>].</p>
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<p>Effect of adding 1–10% DWTP sludge during brickmaking reproduced with permission from [<a href="#B31-processes-12-01863" class="html-bibr">31</a>].</p>
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<p>(<b>a</b>) A variable volume Donnan dialysis laboratory setup. (<b>b</b>) A schematic diagram of selective alum recovery from WTR using a Donnan membrane reproduced with permission from [<a href="#B125-processes-12-01863" class="html-bibr">125</a>].</p>
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<p>Proposed multistage PMR for the recovery and treatment of nutrients and minerals.</p>
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14 pages, 2498 KiB  
Article
The Impact of Varying Pasture Levels on the Metabolomic Profile of Bovine Ruminal Fluid
by Claire Connolly, Mark Timlin, Sean A. Hogan, Tom F. O’Callaghan, André Brodkorb, Michael O’Donovan, Deirdre Hennessy, Ellen Fitzpatrick, Kieran McCarthy, John P. Murphy and Lorraine Brennan
Metabolites 2024, 14(9), 476; https://doi.org/10.3390/metabo14090476 - 28 Aug 2024
Viewed by 508
Abstract
A pasture or concentrate-based dietary regime impacts a variety of factors including both ruminal health and function, and consequently milk production and quality. The objective of this study was to examine the effect of feeding differing pasture levels on the metabolite composition of [...] Read more.
A pasture or concentrate-based dietary regime impacts a variety of factors including both ruminal health and function, and consequently milk production and quality. The objective of this study was to examine the effect of feeding differing pasture levels on the metabolite composition of bovine ruminal fluid. Ruminal fluid was obtained from rumen-cannulated spring-calving cows (N = 9, Holstein-Friesian breed, average lactation number = 5) fed one of three diets across a full lactation season. Group 1 (pasture) consumed perennial ryegrass supplemented with 5% concentrates; group 2 received a total mixed ration (TMR) diet; and group 3 received a partial mixed ration (PMR) diet which included pasture and a TMR. Samples were taken at two timepoints: morning and evening. Metabolomic analysis was performed using nuclear magnetic resonance (1H-NMR) spectroscopy. Statistical analysis revealed significant changes across the dietary regimes in both morning and evening samples, with distinct alterations in the metabolite composition of ruminal fluid from pasture-fed cows (FDR-adjusted p-value < 0.05). Acetate and butyrate were significantly higher in samples derived from a pasture-based diet whereas sugar-related metabolites were higher in concentrate-based samples. Furthermore, a distinct diurnal impact on the metabolite profile was evident. This work lays the foundation for understanding the complex interaction between dietary regime and ruminal health. Full article
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<p>The impact of dietary regime on the metabolite composition of morning bovine ruminal fluid samples. (<b>A</b>) Pearsons correlation analysis between dietary regime and morning bovine ruminal fluid metabolites. Pearson correlations were controlled for lactation stage, with an FDR-adjusted <span class="html-italic">p</span>-value ≤ 0.05 considered statistically significant. (<b>B</b>) The subset of significantly different metabolites identified in morning bovine ruminal fluid samples. An analysis was performed using a general linear model analysis controlling for lactation stage to determine the significant metabolites across dietary regimes, pasture, PMR and TMR (FDR-adjusted <span class="html-italic">p</span>-value ≤ 0.05). Abbreviations are as follows: PMR, partial mixed ration; TMR, total mixed ration; FDR, false discovery rate; * denotes a statistically significant correlation (FDR-adjusted <span class="html-italic">p</span>-value ≤ 0.05).</p>
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<p>The impact of dietary regime on the metabolite composition of evening bovine ruminal fluid samples. (<b>A</b>) The Pearsons correlation analysis between dietary regime and morning bovine ruminal fluid metabolites. Pearson correlations were controlled for lactation stage, with an FDR-adjusted <span class="html-italic">p</span>-value ≤ 0.05 considered statistically significant. (<b>B</b>) The subset of significantly different metabolites identified in evening bovine ruminal fluid samples. Analysis performed using a general linear model analysis controlling for lactation stage to determine the significant metabolites across dietary regimes, pasture, PMR and TMR (FDR-adjusted <span class="html-italic">p</span>-value ≤ 0.05). Abbreviations are as follows: PMR, partial mixed ration; TMR, total mixed ration; FDR, false discovery rate; * denotes a statistically significant correlation (FDR-adjusted <span class="html-italic">p</span>-value ≤ 0.05).</p>
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<p>Diurnal variation in metabolite profile of pasture-based bovine ruminal fluid. (<b>A</b>) PCA score plot of <sup>1</sup>H-NMR pasture group AM and PM samples (R<sup>2</sup>X = 0.982; Q<sup>2</sup> = 0.839). (<b>B</b>) PLS-DA score plot of <sup>1</sup>H-NMR pasture group AM and PM samples (R<sup>2</sup>X = 0.938; Q<sup>2</sup> = 0.425). Black squares represent AM pasture group ruminal fluid samples and grey squares represent PM pasture group ruminal fluid samples. Abbreviations are as follows: <sup>1</sup>H-NMR, proton nuclear magnetic resonance; PCA, principal component analysis; PLS-DA, partial least squares discriminant analysis; AM, morning bovine ruminal fluid samples; PM, evening bovine ruminal fluid samples; R<sup>2</sup>X, estimation of variance in data explained by model; Q<sup>2</sup>, estimation of predictive ability explained by model.</p>
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<p>A network graph depicting the positive correlations derived from regularised canonical correlation analysis between AM (N = 144) and PM (N = 144) bovine ruminal fluid sample metabolites, with a correlation coefficient &gt; 0.15. The edge is sized according to the correlation strength, with a wider edge indicating a higher correlation. Blue circles represent AM bovine ruminal fluid metabolites and red circles present PM bovine ruminal fluid metabolites. Abbreviations are as follows: AM, morning bovine ruminal fluid metabolites; PM, evening bovine ruminal fluid metabolites.</p>
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40 pages, 2603 KiB  
Article
Valuation of Project Managers to Enhance Project Performance in Nigeria’s Construction Industry
by Ebuka Valentine Iroha, Tsunemi Watanabe and Satoshi Tsuchiya
Buildings 2024, 14(9), 2668; https://doi.org/10.3390/buildings14092668 - 27 Aug 2024
Viewed by 490
Abstract
Construction project management is critical to the success of construction projects, with the performance of project managers (PMRs) playing a central role. Despite its importance, previous studies have highlighted the poor performance of construction organizations in Nigeria, such as project delays and cost [...] Read more.
Construction project management is critical to the success of construction projects, with the performance of project managers (PMRs) playing a central role. Despite its importance, previous studies have highlighted the poor performance of construction organizations in Nigeria, such as project delays and cost overruns and the need for proper project management practices. However, the specific performance of PMRs in the Nigerian construction industry (NCI) has not been extensively studied. To address this issue, this study aims to identify the causes of underperformance among PMRs in the NCI by examining the tasks where PMRs underperform and the extent of this underperformance and its effect on motivational support from organizations. Data were collected through 206 questionnaires and 36 semi-structured interviews with organizations and project managers. Descriptive analysis was conducted to evaluate project management (PM) practices as well as the level of motivational support provided to PMRs. The analysis revealed that PMRs underperform in more than 60% of tasks but outperform in 20%. Underperformance refers to the tasks in which PMRs performed less than the expected contributions set by the organization, while outperformance describes tasks where PMRs exceeded the organization’s expectations. The analysis also revealed low motivational support of PMR. Correlation analysis was conducted to investigate whether motivational support influences PMR performance, and the results indicated a two-way causal relationship between underperformance and low motivational support. This study integrated a game theory model with regression analysis to show that (stay, support) is the dominant solution for project managers and organizations, provided the net contribution of support is positive. In this context, “stay” refers to PMRs continuing working with their current organization, while “support” refers to the motivational support provided by the organization to enhance the commitment and performance of the PMRs. However, current support levels may not be enough to cause PMRs to begin to outperform. In addition, regression analysis was conducted between the degree of underperformance and motivational factors, and we conducted a preliminary simulation by increasing these values of regression coefficients. The results indicated that while motivational support from organizations can improve PMRs performance, its effectiveness is limited. Factors such as corruption, political pressures, and organizational culture have a greater impact on performance. Addressing these factors may be more crucial for enhancing performance and project outcomes than focusing only on motivational support. Therefore, the Nigerian construction industry needs to implement institutional changes alongside motivational strategies to improve PMRs performance and project success. Full article
(This article belongs to the Section Construction Management, and Computers & Digitization)
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<p>Contribution of PMR and Expected Contribution PMR by the Organization.</p>
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<p>(<b>a</b>) Image of the Regression Analysis. (<b>b</b>) Effects of Support of Training. (<b>c</b>) Distribution of Responses.</p>
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<p>(<b>a</b>) Provision of More Effective Support. (<b>b</b>) Interpretation of Increase in Effectiveness of Motivational Support. (<b>c</b>) Impact of Increase in Effectiveness of Motivational Support. (<b>d</b>) Change of Constant. (<b>e</b>) Impact of Change of Constant.</p>
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<p>(<b>a</b>) Provision of More Effective Support. (<b>b</b>) Interpretation of Increase in Effectiveness of Motivational Support. (<b>c</b>) Impact of Increase in Effectiveness of Motivational Support. (<b>d</b>) Change of Constant. (<b>e</b>) Impact of Change of Constant.</p>
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<p>Simulation Results of Improvement of Performance of PMRs.</p>
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12 pages, 1009 KiB  
Article
Alteration in the Morphological and Transcriptomic Profiles of Acinetobacter baumannii after Exposure to Colistin
by Eun-Jeong Yoon, Jun Won Mo, Jee-woong Kim, Min Chul Jeong and Jung Sik Yoo
Microorganisms 2024, 12(8), 1644; https://doi.org/10.3390/microorganisms12081644 - 11 Aug 2024
Viewed by 537
Abstract
Acinetobacter baumannii is often highly resistant to multiple antimicrobials, posing a risk of treatment failure, and colistin is a “last resort” for treatment of the bacterial infection. However, colistin resistance is easily developed when the bacteria are exposed to the drug, and a [...] Read more.
Acinetobacter baumannii is often highly resistant to multiple antimicrobials, posing a risk of treatment failure, and colistin is a “last resort” for treatment of the bacterial infection. However, colistin resistance is easily developed when the bacteria are exposed to the drug, and a comprehensive analysis of colistin-mediated changes in colistin-susceptible and -resistant A. baumannii is needed. In this study, using an isogenic pair of colistin-susceptible and -resistant A. baumannii isolates, alterations in morphologic and transcriptomic characteristics associated with colistin resistance were revealed. Whole-genome sequencing showed that the resistant isolate harbored a PmrBL208F mutation conferring colistin resistance, and all other single-nucleotide alterations were located in intergenic regions. Using scanning electron microscopy, it was determined that the colistin-resistant mutant had a shorter cell length than the parental isolate, and filamented cells were found when both isolates were exposed to the inhibitory concentration of colistin. When the isolates were treated with inhibitory concentrations of colistin, more than 80% of the genes were upregulated, including genes associated with antioxidative stress response pathways. The results elucidate the morphological difference between the colistin-susceptible and -resistant isolates and different colistin-mediated responses in A. baumannii isolates depending on their susceptibility to this drug. Full article
(This article belongs to the Special Issue Clinical Microbial Infection and Antimicrobial Resistance)
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<p>SEM micrographs of the parental Z0317AB0082 (<b>A</b>,<b>B</b>) and the colistin-resistant isogenic mutant Z0317AB0082-R (<b>C</b>–<b>E</b>) <span class="html-italic">Acinetobacter baumannii</span> isolates cultured in media either without (<b>A</b>,<b>C</b>) or with colistin 2 μg/mL (<b>B</b>,<b>D</b>) and 64 μg/mL (<b>E</b>). Cell rupture and shrinkage (arrow head) were observed in colistin-treated groups, and the filamentation (arrow) was observed in the groups treated by inhibitory concentrations of colistin. The images were taken at ×5000 and ×20,000 magnifications and presented with the scale bar indicating 1 μm length. For each group, triplicate samples were used, and representative images are shown.</p>
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<p>The transcriptional level of the <span class="html-italic">pmrC</span>, <span class="html-italic">pmrA</span>, and <span class="html-italic">pmrB</span> genes in the parental Z0317AB0082 and the colistin-resistant isogenic mutant Z0317AB0082-R isolates cultured in media either without (N/T) or with colistin 2 μg/mL and 64 μg/mL. The isolates were treated for 30 min either without or with colistin 2 μg/mL and 64 μg/mL, and the normalized transcriptional levels of <span class="html-italic">pmrC</span> (black), <span class="html-italic">pmrA</span> (gray), and <span class="html-italic">pmrB</span> (open) to that of the <span class="html-italic">rpoB</span> gene are indicated with error bars for standard error values out of biological triplicates. <span class="html-italic">p</span> values of &lt;0.05 from Student’s t test are indicated.</p>
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<p>Scatter plots showing the correlations between the normalized level of transcriptome of the parental colistin-susceptible Z0317AB0082 and the colistin-resistant isogenic mutant Z0317AB0082-R isolates after treatment with inhibitory concentrations of colistin (<b>A</b>) and inhibitory or subinhibitory concentrations of colistin (<b>B</b>). The transcriptional status of a total of 3731 genes was analyzed. Each dot represents a gene. The 10 dots located over 60 for the Z0317AB0082 isolate treated with inhibitory concentrations of colistin (65.6 to 280.7), which were paired with the 0.4 to 1.9 transcriptional level in the Z0317AB0082-R isolate treated with inhibitory concentrations of colistin, were omitted from graph A for clarity.</p>
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15 pages, 1013 KiB  
Review
Positron Emission Tomography/Computed Tomography in Polymyalgia Rheumatica: When and for What—A Critical Review
by Elena Heras-Recuero, Teresa Blázquez-Sánchez, Laura Cristina Landaeta-Kancev, Marta Martínez de Bourio-Allona, Arantxa Torres-Roselló, Fernando Rengifo-García, Claritza Caraballo-Salazar, Raquel Largo, Santos Castañeda and Miguel Ángel González-Gay
Diagnostics 2024, 14(14), 1539; https://doi.org/10.3390/diagnostics14141539 - 17 Jul 2024
Viewed by 457
Abstract
Polymyalgia rheumatica (PMR) is an inflammatory disease common in people aged 50 years and older. This condition is characterized by the presence of pain and stiffness involving mainly the shoulder and pelvic girdle. Besides the frequent association with giant cell arteritis (GCA), several [...] Read more.
Polymyalgia rheumatica (PMR) is an inflammatory disease common in people aged 50 years and older. This condition is characterized by the presence of pain and stiffness involving mainly the shoulder and pelvic girdle. Besides the frequent association with giant cell arteritis (GCA), several conditions may mimic PMR or present with PMR features. Since the diagnosis is basically clinical, an adequate diagnosis of this condition is usually required. Positron emission tomography/computed tomography (PET-CT) has proved to be a useful tool for the diagnosis of PMR. The use of 18F-FDG-PET imaging appears promising as it provides detailed information on inflammatory activity that may not be evident with traditional methods. However, since PET-CT is not strictly necessary for the diagnosis of PMR, clinicians should consider several situations in which this imaging technique can be used in patients with suspected PMR. Full article
(This article belongs to the Special Issue Advances in the Diagnosis and Management of Vasculitis)
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<p>82 year old woman with significant FDG uptake around the glenohumeral, sternoclavicular, costovertebral joints, lumbar interapophyseal spaces, coxofemoral joints, ischial tuberosities, and pubis, suggestive of diffuse osteoarticular pathology with an inflammatory component, in the context associated with PMR. Blue arrows: FDG uptake around glenohumeral, sternoclavicular and coxofemoral joint. White arrows: FDG upatake around glenomeral, esternoclavicular, coxofemoral and ischial tuberosities.</p>
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<p>65 year old woman with significant FDG uptake around the glenohumeral and coxofemoral joints (arrows) along with large vessel vasculitis.</p>
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14 pages, 1077 KiB  
Article
Blood-Count-Derived Inflammatory Markers as Predictors of Response to Biologics and Small-Molecule Inhibitors in Psoriasis: A Multicenter Study
by Silviu-Horia Morariu, Ovidiu Simion Cotoi, Oana Mirela Tiucă, Adrian Baican, Laura Gheucă-Solovăstru, Hana Decean, Ilarie Brihan, Katalin Silaghi, Viorica Biro, Diana Șerban-Pescar, Ioana Măgureanu, Mircea Ambros, Roxana Ioana Ilcuș, Lavinia Prodan, Andreea Beatrix Bălan, Mădălina Husariu, Dumitrita Lenuta Gugulus, Radu Alexandru Stan, Vlad Voiculescu and Alin Codruț Nicolescu
J. Clin. Med. 2024, 13(14), 3992; https://doi.org/10.3390/jcm13143992 - 9 Jul 2024
Viewed by 892
Abstract
Background: Psoriasis is an immune-mediated chronic disorder associated with various comorbidities. Even though biologics and small-molecule inhibitors are the mainstay treatment for moderate-to-severe psoriasis, there is no current consensus regarding which agent should be used for a specific type of patient. This [...] Read more.
Background: Psoriasis is an immune-mediated chronic disorder associated with various comorbidities. Even though biologics and small-molecule inhibitors are the mainstay treatment for moderate-to-severe psoriasis, there is no current consensus regarding which agent should be used for a specific type of patient. This paper aims to test the reliability of blood-count-derived inflammatory markers in assessing treatment response to biologics and small-molecule inhibitors in psoriasis. Material and Methods: Bio-naïve adult patients diagnosed with chronic plaque psoriasis fulfilling the inclusion criteria were enrolled. They were divided into study subgroups based on treatment of choice, and blood-count-derived inflammatory markers were analyzed at baseline, three-month, six-month, and at twelve-month visits. Results: A total of 240 patients were included. The highest number of patients underwent treatment with ixekizumab. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), platelet-to-monocyte ratio (PMR), monocyte-to-lymphocyte ratio (MLR), derived neutrophil-to-lymphocyte ratio (d-NLR), systemic inflammation response index (SIRI), systemic immune inflammation index (SII), and aggregate index of systemic inflammation (AISI) all varied significantly (p < 0.005) between the four visits. The psoriasis area severity index (PASI) score correlated with PLR, d-NLR, and SII, while the psoriasis scalp severity index (PSSI) score correlated with AISI and SIRI. More than half of patients reached the target goal of PASI90 at the six-month visit. A total of 77 patients were super-responders, with the highest number undergoing treatment with ixekizumab. Higher baseline values of d-NLR and SIRI are independent predictors of the super-responder status. Conclusions: Blood-count-derived inflammatory markers can serve as indicators of treatment response to biologics in psoriasis, while d-NLR and SIRI were independent predictors of super-responders in our study. Full article
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<p>Percentage of patients reaching target goals based on the treatment of choice.</p>
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15 pages, 1770 KiB  
Article
Long-Term Safety of Level II Oncoplastic Surgery after Neoadjuvant Treatment for Locally Advanced Breast Cancer: A 20-Year Experience
by Alejandro M. Sanchez, Flavia De Lauretis, Angela Bucaro, Niccolo Borghesan, Chiara V. Pirrottina, Antonio Franco, Lorenzo Scardina, Diana Giannarelli, Jenny C. Millochau, Marina L. Parapini, Alba Di Leone, Fabio Marazzi, Armando Orlandi, Antonella Palazzo, Alessandra Fabi, Riccardo Masetti and Gianluca Franceschini
J. Clin. Med. 2024, 13(13), 3665; https://doi.org/10.3390/jcm13133665 - 23 Jun 2024
Viewed by 1198
Abstract
Background: Oncoplastic surgery (OPS) reliability in the post-neoadjuvant chemotherapy (NACT) setting is still debated due to weak scientific evidences in such scenarios. Methods: Our analysis aims to report results obtained in a retrospective series of 111 patients consecutively treated with level II OPS [...] Read more.
Background: Oncoplastic surgery (OPS) reliability in the post-neoadjuvant chemotherapy (NACT) setting is still debated due to weak scientific evidences in such scenarios. Methods: Our analysis aims to report results obtained in a retrospective series of 111 patients consecutively treated with level II OPS after NACT at the Multidisciplinary Breast Center of the Fondazione Policlinico Universitario Agostino Gemelli IRCCS between 1998 and 2018. The surgical endpoints were the mean specimen volume, rates of positive margins (PMR), re-excision (RR), conversion to mastectomy (CMR), and complications (CR). The oncological endpoints were overall survival (OS), disease-free survival (DFS), and local recurrence (LR). To evaluate the impact of NACT on surgical and oncological outcomes at 302 months, we conducted a propensity score matching, pairing patients in post-NACT and upfront surgery groups. Results: The mean sample volume was 390,796 mm3. We registered a 3.6% of PMR, 1.8% RR, 0.9% CMR, 5% CR. The 10-year OS and 10-year DFS with a median follow-up of 88 months (6–302) were 79% and 76%, respectively, with an LR recurrence rate of 5%. The post-NACT group received significantly larger excised volumes and lower PMR. NACT did not affect surgical and oncological outcomes. Conclusions: Level II OPS can be considered a reliable alternative to mastectomy even in the post-NACT setting. Full article
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<p>Disease-free survival at 240 months. (<b>a</b>) Comparative curves between NACT and non-NACT cohort. (<b>b</b>) Global cohort.</p>
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<p>Overall survival at 240 months. (<b>a</b>) Comparative curves between NACT and non-NACT cohort. (<b>b</b>) Global cohort.</p>
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<p>Local recurrence rate at 240 months. (<b>a</b>) Comparative curves between NACT and non-NACT cohort. (<b>b</b>) Global cohort.</p>
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14 pages, 990 KiB  
Article
Remote Delivery of Partial Meal Replacement for Weight Loss in People Awaiting Arthroplasty
by Ritesh Chimoriya, Justine Naylor, Kimberly Mitlehner, Sam Adie, Ian Harris, Anna Bell-Higgs, Naomi Brosnahan and Milan K. Piya
J. Clin. Med. 2024, 13(11), 3227; https://doi.org/10.3390/jcm13113227 - 30 May 2024
Viewed by 1063
Abstract
Background: Obesity is linked to higher rates of complications; lower absolute recovery of mobility, pain, and function; and increased costs of care following total knee or hip arthroplasty (TKA, THA). The aim of this prospective cohort study was to evaluate the effectiveness [...] Read more.
Background: Obesity is linked to higher rates of complications; lower absolute recovery of mobility, pain, and function; and increased costs of care following total knee or hip arthroplasty (TKA, THA). The aim of this prospective cohort study was to evaluate the effectiveness of a 12-week partial meal replacement (PMR) weight loss program for people awaiting TKA or THA and living with obesity (body mass index (BMI) ≥ 30 kg/m2). Methods: The intervention was delivered remotely and included a 12-week PMR plan of 1200 calories/day, incorporating two meal replacement shakes/soups and a third suitable simple meal option. The intervention support was provided through online group education sessions, one-to-one teleconsultation with a dietitian, and access to a structured PMR App with functions for goal setting and providing educational content on diet, physical activity, and behaviour changes. Results: Of the 182 patients approached, 29 provided consent to participate, 26 participants commenced the program, and 22 participants completed the 12-week PMR plan. Completers exhibited statistically significant weight loss from baseline to 12 weeks, with a paired difference of 6.3 kg (95% CI: 4.8, 7.7; p < 0.001), with 15 out of 22 (68.2%) participants achieving at least 5% weight loss. Statistically significant reductions in HbA1c and low density lipoprotein (LDL) were observed at 12 weeks compared to baseline. Moreover, a significant increase in the proportion of participants in the action and maintenance phases of the readiness to change diet, physical activity, and weight were observed at 12 weeks. The majority of program completers (18 out of 22) expressed willingness to pay for the service if offered on a long-term basis following the arthroplasty. Conclusions: This study’s findings demonstrated that significant weight loss is achievable for people living with obesity awaiting arthroplasty following a 12-week PMR weight loss program. The remote delivery of the intervention was feasible and well accepted by people awaiting TKA or THA. Full article
(This article belongs to the Special Issue Musculoskeletal Disorders: Clinical Rehabilitation and Physiotherapy)
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<p>Partial meal replacement plan used in the study.</p>
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<p>TREND flowchart of the participants recruitment and program completion.</p>
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14 pages, 1614 KiB  
Article
Genetic Alternatives for Experimental Adaptation to Colistin in Three Pseudomonas aeruginosa Lineages
by Igor Chebotar, Tatiana Savinova, Julia Bocharova, Dmitriy Korostin, Peter Evseev and Nikolay Mayanskiy
Antibiotics 2024, 13(5), 452; https://doi.org/10.3390/antibiotics13050452 - 15 May 2024
Cited by 1 | Viewed by 1028
Abstract
Pseudomonas aeruginosa is characterized by a high adaptive potential, developing resistance in response to antimicrobial pressure. We employed a spatiotemporal evolution model to disclose the pathways of adaptation to colistin, a last-resort polymyxin antimicrobial, among three unrelated P. aeruginosa lineages. The P. aeruginosa [...] Read more.
Pseudomonas aeruginosa is characterized by a high adaptive potential, developing resistance in response to antimicrobial pressure. We employed a spatiotemporal evolution model to disclose the pathways of adaptation to colistin, a last-resort polymyxin antimicrobial, among three unrelated P. aeruginosa lineages. The P. aeruginosa ATCC-27833 reference strain (Pa_ATCC), an environmental P. aeruginosa isolate (Pa_Environment), and a clinical isolate with multiple drug resistance (Pa_MDR) were grown over an increasing 5-step colistin concentration gradient from 0 to 400 mg/L. Pa_Environment demonstrated the highest growth pace, achieving the 400 mg/L band in 15 days, whereas it took 37 and 60 days for Pa_MDR and Pa_ATCC, respectively. To identify the genome changes that occurred during adaptation to colistin, the isolates selected during the growth of the bacteria (n = 185) were subjected to whole genome sequencing. In total, 17 mutation variants in eight lipopolysaccharide-synthesis-associated genes were detected. phoQ and lpxL/PA0011 were affected in all three lineages, whereas changes in pmrB were found in Pa_Environment and Pa_MDR but not in Pa_ATCC. In addition, mutations were detected in 34 general metabolism genes, and each lineage developed mutations in a unique set of such genes. Thus, the three examined distinct P. aeruginosa strains demonstrated different capabilities and genetic pathways of colistin adaptation. Full article
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<p>Time-lapse images of fifty-day growth patterns and pace over the colistin concentration gradient for three experimental <span class="html-italic">P. aeruginosa</span> lineages. Three <span class="html-italic">P. aeruginosa</span> strains, including <span class="html-italic">Pa_ATCC</span> (section 1), <span class="html-italic">Pa_Environment</span> (section 2), and <span class="html-italic">Pa_MDR</span> (section 3), were inoculated in the outermost left bands of each compartment of the experimental plate containing no colistin (red dots) and allowed to grow for indicated time. Each compartment consisted of 5 bands containing an exponential gradient of colistin from 0 to 400 mg/L. The growing bacteria appeared as a white mass against the black ink background. An image was taken from above the plate every 24 h (a movie assembled over the entire experiment is provided in <a href="#app1-antibiotics-13-00452" class="html-app">Supplement</a>). Each panel represents an unedited image obtained on the indicated day of the experiment. Bar, 40 mm.</p>
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<p>Graphical representation of the spreading dynamics over the colistin concentration gradient for three experimental <span class="html-italic">P. aeruginosa</span> lineages. Three experimental <span class="html-italic">P. aeruginosa</span> strains were grown, as described in <a href="#antibiotics-13-00452-f001" class="html-fig">Figure 1</a>’s legend. The Y axis indicates the day of the experiment on which the corresponding colistin concentration band was reached. Note that smaller bars indicate faster growth, as the lineage takes less time to reach a certain colistin gradient band.</p>
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<p>Genome mutation rate and individual gene alterations during <span class="html-italic">P. aeruginosa</span>’s adaptation to colistin. (<b>A</b>) <span class="html-italic">Pa_ATCC</span>, (<b>B</b>) <span class="html-italic">Pa_Environment</span>, (<b>C</b>) <span class="html-italic">Pa_MDR</span>. Bars show the median number with the Q3 boundary of the core genome mutations per isolate collected from the corresponding colistin concentration band, as indicated above the bars. The signs above the bars in (<b>B</b>,<b>C</b>) indicate statistically significant differences (<span class="html-italic">p</span> value of the Mann–Whitney U test &lt; 0.05) in the mutation rate as follows: *, <span class="html-italic">Pa_Environment</span> vs. <span class="html-italic">Pa_ATCC</span>; #, <span class="html-italic">Pa_Environment</span> vs. <span class="html-italic">Pa_MDR</span>; +, <span class="html-italic">Pa_MDR</span> vs. <span class="html-italic">Pa_ATCC</span>. Individual affected genes are listed below the bars; red font indicates the LPS-synthesis-associated genes related to colistin resistance, blue font indicates general metabolism genes not directly related to colistin resistance. Alteration type is indicated by the rectangle fill color as follows: red, nonsense mutation/out-of-frame or large indel/gene disruption; yellow, in-frame indel; green, missense mutation. Asterisk indicates a large 262,402 bp deletion (239 ORF), which included the <span class="html-italic">galU</span> gene, involved in LPS synthesis.</p>
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