Tag: pubmed

Environ Manage. 2024 Aug 12. doi: 10.1007/s00267-024-02030-z. Online ahead of print.

ABSTRACT

Bioavailable heavy metal and their efficient phytoremediation in mining areas have major implications for environmental and human health. In this study, we investigated 12 dominant plants in a typical Mn ore area of Zunyi, Guizhou Province, China, to determine the heavy metal contents, morphologies, and environmental factors affecting Mn, Cd, Pb, Cu, Zn, and Cr in the plant parts and rhizosphere soil. The bioavailabilities and degrees of metals were evaluated using the ratios of the secondary to primary phase distributions and potential ecological risk indices. Principal component analysis, cluster analysis, positive matrix factorisation modelling, and redundancy analysis were used to trace the origins and correlations among the metals. The results indicate that the bioavailabilities were the highest for Mn and Cd in the study area, and all of the target heavy metals had bioavailabilities above the moderate ecological harm level. Statistical modelling indicates that there are four main pollution sources: mining, smelting, processing operations, and atmospheric deposition. The dominant plants had high heavy metal enrichments, bioconcentration factors, and translocation factors for Mn, Cu, Cr, Cd, and Zn. The redundancy analysis indicates that soil total N, total P, and pH affect metal absorption and distributions in Compositae and non-Compositae plants in low-N, low-P, and slightly alkaline mining environments. This study provides a feasible basis for the screening of heavy metal enrichment plants and the improvement of remediation technology in manganese ore area under the extreme environment of poor nutrition.

PMID:39133339 | DOI:10.1007/s00267-024-02030-z

Trop Anim Health Prod. 2024 Aug 12;56(7):241. doi: 10.1007/s11250-024-04097-6.

ABSTRACT

This study aimed to determine the effects of heat stress on 30 Saanen goats of different ages (young, middle-aged, and old). The average temperature and humidity values during the trial were 27.82 °C and 40.65%, respectively. Statistically significant differences in pulse rate (PR), respiratory rate (SS), and temperature humidity index (THI) were found between months (P < 0.05). Beta-hydroxybutyric acid (BHBA) values were found to be statistically significant in the young and middle-aged group (P < 0.05), with the highest in the middle-aged group obtained in June (0.65 mmol/L). Non-esterified fatty acids (NEFA) and urea (BUN) were significantly different (P < 0.05) in all age groups, whereas creatinine values showed no significant differences between groups. Significant positive relationships were found between body weight (BW) and body condition score (BCS), as well as pulse rate (PR) and daily average daily milk yield (DAMY) (P < 0.01). A positive correlation was also found between the respiratory rate (SS) and pulse rate (P < 0.01). As a result, although attempts have been made to prevent the decrease in productivity with applications for animals under heat stress, the optimal strategy may be to address the source of the problem. Issues that cause heat accumulation in the body should be identified and necessary arrangements should be made in the shelter to distribute heat to ensure that animals are less affected. Shaded areas should be provided in cases of stress caused by heat. An appropriate structural arrangement for temperature, humidification, and ventilation systems, as well as the provision of abundant fresh drinking water, would also be beneficial.

PMID:39133338 | DOI:10.1007/s11250-024-04097-6

Arch Dermatol Res. 2024 Aug 12;316(8):510. doi: 10.1007/s00403-024-03261-0.

ABSTRACT

Low dose oral minoxidil (LDOM) is an efficacious and safe treatment for alopecia, however, a notable side effect is hypertrichosis. Spironolactone, known for treating hirsutism, is also used off-label for the treatment of certain forms of alopecia and may reduce LDOM-induced hypertrichosis. We performed a retrospective review of 54 patients seen at NYU Langone Health and compared hypertrichosis rates in female alopecia patients on LDOM monotherapy versus those on combination therapy with spironolactone. Among 54 patients, 37 received LDOM alone and 17 received the combination. Hypertrichosis developed in 33.3% of patients, with lower rates in the combination group (17.6% vs. 40.5% for monotherapy). Although not statistically significant, the trend suggests spironolactone may mitigate hypertrichosis. The study highlights the potential of combination therapy to address hypertrichosis and calls for larger studies to confirm these findings.

PMID:39133327 | DOI:10.1007/s00403-024-03261-0

Heliyon. 2024 Jul 10;10(14):e34395. doi: 10.1016/j.heliyon.2024.e34395. eCollection 2024 Jul 30.

ABSTRACT

This article aims to measure energy poverty in Colombia in its thirty-two departments and its capital city from 2018 to 2022, using a composite approach. To achieve this, a Multidimensional Energy Poverty Index (MEPI) was designed, according to the methodology proposed by Nussbaumer et al. (2012; 2013) [1,2]. Twenty-eight variables were used, which were distributed across seven dimensions, and recorded by the National Quality of Life Survey (ECV, Spanish acronym), administered by the National Administrative Department of Statistics (DANE) of Colombia. In addition, a nested weighting method was used to assign weights within the index. Subjective weights were given to the dimensions, and an entropy method was used for each of the component variables. The results show that energy poverty has an increasing trend in Colombia throughout the period, especially in the municipal capitals. There are significant differences between urban and rural areas in all territories, and the departments located in the most remote areas of the country have a higher energy poverty. This is consistent with the low population density, as well as with off-grid areas. The results obtained will allow decision makers to conduct a preliminary evaluation of the management and effects of the specific public policy programs and plans that have been implemented in the different territories of the country.

PMID:39130475 | PMC:PMC11315106 | DOI:10.1016/j.heliyon.2024.e34395

Heliyon. 2024 Jul 16;10(14):e34680. doi: 10.1016/j.heliyon.2024.e34680. eCollection 2024 Jul 30.

ABSTRACT

The safety of vegetable oils has come under intense scrutiny ever since the International Agency for Research on Cancer issued an alert on the carcinogenic properties of 3-monochloropropane-1,2-diol fatty acid esters (3-MCPDE) and glycidyl esters (GE). In this study, a total of 114 samples of artisanal palm oil (PO), palm kernel oil (PKO), and coconut oil (CO) were sourced from three regions in Ghana. The concentrations of 3-MCPDE and GE were quantified using the indirect method with gas chromatography-mass spectrometry. Subsequently, the statistical distribution functions of the concentrations of the esters were fitted using the Palisade @risk software. The relationships between the esters in the oils were determined using the Pearson correlation coefficient. The results showed no correlation (p > 0.05) between the concentrations of 3-MCPDE and GE. However, 18-60 % of the sampled PO contained 3-MCPDE above the European Commission’s 2.5 mg/kg limit. In comparison, 24-35 % of the PO contained GE at levels exceeding the Commission’s 1 mg/kg limit. Similarly, 25-35 % of PKO samples had GE concentrations above the limit. CO was the least contaminated oil, with little or no evidence of 3-MCPE and GE formation. Though the most frequently occurring (modal) concentrations of the esters were below the limits imposed by the Commission, it is the 95th percentile level of concentrations, especially for PO, that pose a health concern. Serious education and control must be exercised over the production of PO to enhance safety at the national and international markets.

PMID:39130471 | PMC:PMC11315069 | DOI:10.1016/j.heliyon.2024.e34680

Heliyon. 2024 Jul 17;10(14):e34769. doi: 10.1016/j.heliyon.2024.e34769. eCollection 2024 Jul 30.

ABSTRACT

BACKGROUND: Streptococcus pyogenes is one of the major public health concerns causing human infections ranging from skin and throat infections to acute rheumatic fever and post streptococcal glomerulonephritis. Moreover, nowadays drug-resistant strains of S. pyogenes are emerging and can be transmitted through apparently healthy carriers to susceptible individuals.

OBJECTIVE: To assess the prevalence, antimicrobial susceptibility pattern and associated factors S. pyogenes among apparently healthy school children in Mekelle city primary schools, Northern Ethiopia.

METHODS: A cross-sectional study was conducted among 504 apparently healthy school children from February to May 2018. We used structured questionnaire to collect socio-demographic data. Throat specimens were collected using sterile cotton Swab and transported for culture, antimicrobial susceptibility and identification of S. pyogenes according to standard operating procedures. Data were analyzed using Stata 13 for descriptive statistics, bivariate and multivariate logistic regression. P-value <0.05 was declared statistically significance.

RESULTS: The mean age of the study participants was 11.5 years of which 55 % of them were females. The overall prevalence of S. pyogenes was 8.3 %. Being female, having low monthly income, weak personal hygiene, poor hand washing habit and crowded living style were significantly associated with the occurrence of S. pyogenes. The isolates of S. pyogenes showed resistance to Penicillin (69.1 %), Amoxicillin-Clavulanic acid (62 %), Ampicillin (54.6 %), Ceftriaxone (47.6 %), Tetracycline (14.4 %), Cefoxitin (7.2 %). About 57.15 % isolates were multidrug-resistant.

CONCLUSIONS: This study revealed that some isolates of S. pyogenes among the apparently healthy school children were resistant to commonly prescribed antibiotic agents and associated with hygienic conditions and living style. Therefore, it is recommended to practice antimicrobial susceptibility test to maintain rational antibiotic use and improve hygienic and hand washing practices to decrease the likelihood of carriage rate.

PMID:39130447 | PMC:PMC11315190 | DOI:10.1016/j.heliyon.2024.e34769

Heliyon. 2024 Jul 10;10(14):e34515. doi: 10.1016/j.heliyon.2024.e34515. eCollection 2024 Jul 30.

ABSTRACT

The Qinghai-Tibet Plateau stands as one of the most ecologically fragile and biodiversity-rich regions globally. Understanding the distribution of different taxa and their relationship with environmental factors is crucial for effective conservation and sustainable management. Polytrichaceae, a significant bryophyte family widely distributed in Tibet, displays distinct structural, morphological, and phylogenetic traits compared to other mosses. Despite its importance, the distribution of Polytrichaceae in Tibet and its correlation with environmental factors have yet to be explored. In this study, we used an optimized Maximum Entropy (MaxEnt) model to explore the potential suitable habitats of Polytrichaceae in Tibet, aiming to clarify their geographic distribution pattern as well as the key environmental influence factors. The model had high accuracy with an average Area Under the Curve (AUC) of 0.933 and True Skill Statistics (TSS) value of 0.789. The results showed that the potential suitability habitats of Polytrichaceae were mainly located in southeastern Tibet, and the low suitable, moderately suitable, and highly suitable habitats accounted for 12.53 %, 6.84 %, and 3.31 % of the total area of Tibet respectively. Unsuitable habitats were mainly located in northwestern Tibet, accounting for about 77.32 %. In Tibet, temperature factors (Mean Temperature of Coldest Quarter (Bio11) and Annual Mean Temperature (Bio1)) played a pivotal role in determining the potential suitable habitats for Polytrichaceae, and elevation, precipitation, and vegetation coverage also had an important influence. The family preferred warm, moist and densely vegetated habitats in Tibet. This study enriched our ecological understanding of bryophyte ecology in this region and provided data-driven support for biodiversity conservation and ecosystem management in Tibet.

PMID:39130443 | PMC:PMC11315192 | DOI:10.1016/j.heliyon.2024.e34515

Heliyon. 2024 Jul 11;10(14):e34494. doi: 10.1016/j.heliyon.2024.e34494. eCollection 2024 Jul 30.

ABSTRACT

BACKGROUND: Despite the increasing availability of therapeutic drugs for autoimmune diseases, many patients still struggle to achieve their treatment goals. Our aim was to identify whether drugs originally used to treat bone density could be applied to the treatment of autoimmune diseases through Mendelian randomization (MR).

METHODS: Using summary statistics from genome-wide association studies, we used a two-sample MR design to estimate the correlation between autoimmune diseases and BMD-related drug targets. Data from the DrugBank and ChEMBL databases were used to identify the drug targets of anti-osteoporosis medications. The Wald ratio test or inverse-variance weighting method was used to assess the impact of genetic variation in drug target(s) on autoimmune disease therapy.

RESULTS: Through our analysis, we discovered a negative correlation between genetic variability in a specific gene (ESR1) in raloxifene/colecalciferol and various autoimmune disorders such as ankylosing spondylitis, endometriosis, IgA nephropathy, rheumatoid arthritis, sarcoidosis, systemic lupus erythematosus, and type 1 diabetes.

CONCLUSION: These results indicate a possible link between genetic differences in the drug targeting ESR1 and susceptibility to autoimmune disorders. Hence, our study offers significant support for the possible use of drugs targeting ESR1 for the management of autoimmune disorders. MR and drug repurposing are utilized to investigate the relationship between autoimmune diseases and bone mineral density, with a focus on ESR1.

PMID:39130432 | PMC:PMC11315135 | DOI:10.1016/j.heliyon.2024.e34494

Heliyon. 2024 Jul 16;10(14):e34711. doi: 10.1016/j.heliyon.2024.e34711. eCollection 2024 Jul 30.

ABSTRACT

The progressive evolution of the spatial and temporal resolutions of Earth observation satellites has brought multiple benefits to scientific research. The increasing volume of data with higher frequencies and spatial resolutions offers precise and timely information, making it an invaluable tool for environmental analysis and enhanced decision-making. However, this presents a formidable challenge for large-scale environmental analyses and socioeconomic applications based on spatial time series, often compelling researchers to resort to lower-resolution imagery, which can introduce uncertainty and impact results. In response to this, our key contribution is a novel machine learning approach for dense geospatial time series rooted in superpixel segmentation, which serves as a preliminary step in mitigating the high dimensionality of data in large-scale applications. This approach, while effectively reducing dimensionality, preserves valuable information to the maximum extent, thereby substantially enhancing data accuracy and subsequent environmental analyses. This method was empirically applied within the context of a comprehensive case study encompassing the 2002-2022 period with 8-d-frequency-normalized difference vegetation index data at 250-m resolution in an area spanning 43,470 km². The efficacy of this methodology was assessed through a comparative analysis, comparing our results with those derived from 1000-m-resolution satellite data and an existing superpixel algorithm for time series data. An evaluation of the time-series deviations revealed that using coarser-resolution pixels introduced an error that exceeded that of the proposed algorithm by 25 % and that the proposed methodology outperformed other algorithms by more than 9 %. Notably, this methodological innovation concurrently facilitates the aggregation of pixels sharing similar land-cover classifications, thus mitigating subpixel heterogeneity within the dataset. Further, the proposed methodology, which is used as a preprocessing step, improves the clustering of pixels according to their time series and can enhance large-scale environmental analyses across a wide range of applications.

PMID:39130414 | PMC:PMC11315160 | DOI:10.1016/j.heliyon.2024.e34711

Heliyon. 2024 Jul 16;10(14):e34524. doi: 10.1016/j.heliyon.2024.e34524. eCollection 2024 Jul 30.

ABSTRACT

BACKGROUND: Oxidative stress and cellular senescence (OSCS) have great impacts on the occurrence and progression of triple-negative breast cancer (TNBC). This study was intended to construct a prognostic model based on oxidative stress and cellular senescence related difference expression genes (OSCSRDEGs) for TNBC.

METHODS: The Cancer Genome Atlas (TCGA) databases and two Gene Expression Omnibus (GEO) databases were used to identify OSCSRDEGs. The relationship between OSCSRDEGs and immune infiltration was examined using single-sample gene-set enrichment analysis (ssGSEA), ESTIMATE, and the CIBERSORT algorithm. Least absolute shrinkage and selection operator (LASSO) regression analyses, Cox regression and Kaplan-Meier analysis were employed to construct a prognostic model. Receiver operating characteristic (ROC) curves, nomograms, and decision curve analysis (DCA) were used to evaluate the prognostic efficacy. Gene Set Enrichment Analysis (GSEA) Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) were utilized to explore the potential functions and mechanism.

RESULTS: A comprehensive analysis identified a total of 27 OSCSRDEGs, out of which 15 genes selected for development of a prognostic model. A high degree of statistical significance was observed for the riskscores derived from this model to accurately predict TNBC Overall survival. The decision curve analysis (DCA) and ROC curve analysis further confirmed the superior accuracy of the OSCSRDEGs prognostic model in predicting efficacy. Notably, the nomogram analysis highlighted that DMD exhibited the highest utility within the model. In comparison between high and low OSCScore groups, the infiltration abundance of immune cells was statistically different in the TCGA-TNBC dataset.

CONCLUSION: These studies have effectively identified four essential OSCSRDEGs (CFI, DMD, NDRG2, and NRP1) and meticulously developed an OSCS-associated prognostic model for individuals diagnosed with TNBC. These discoveries have the potential to significantly contribute to the comprehension of the involvement of OSCS in TNBC.

PMID:39130410 | PMC:PMC11315143 | DOI:10.1016/j.heliyon.2024.e34524