Tag: nevin manimala

Environ Sci Pollut Res Int. 2023 Sep 8. doi: 10.1007/s11356-023-29208-y. Online ahead of print.

ABSTRACT

Polycyclic aromatic hydrocarbons (PAHs) are one of the most important environmental pollutants. Urinary concentrations of 1-hydropyren metabolites of PAHs have been used as biomarkers of these chemicals’ exposure in humans. This cross-sectional study was conducted on 468 healthy Iranian adults over 25 years old and non-smokers in six provinces who were selected based on the clustering method. Fasting urine sampling and body composition and demographic measurements were performed. Urine samples were analyzed by GC-MS. The analysis included descriptive statistics and analytical statistics using multiple linear regression by Python software. 1-Hydroxypyrene was found in 100% of samples, and the mean (Reference Value 95%) concentration of 1-hydroxypyrene was 6.12 (RV 95%: 20) μg/L and 5.95 (21) μg/gcrt. There was a direct relationship between the amount of body composition (body fat, visceral fat), BMI, and age with the urinary concentrations of 1-hydropyren metabolites, and this relationship was significant for BMI with urinary concentrations of 1-hydropyren metabolites (P = 0.045). The amount of 1-hydroxypyrene in healthy Iranian adults has been higher than in similar studies in other countries. These results provide helpful information regarding the exposure of Iranian adults to 1-hydroxypyrene, and these data can be used to supplement the national reference values of human biomonitoring for the interpretation of biomonitoring results.

PMID:37682435 | DOI:10.1007/s11356-023-29208-y

Environ Monit Assess. 2023 Sep 8;195(10):1169. doi: 10.1007/s10661-023-11784-8.

ABSTRACT

Estuaries are among the most dynamic ecosystems in coastal regions and are facing serious threats due to increasing anthropogenic activities. The aim of the present study is to evaluate the water quality of the Rushikulya estuary by analyzing the abundance of pathogenic bacteria in both its water and sediment. Water and sediment samples were collected from five different stations at the mouth of the Rushikulya estuary during the monsoon and post-monsoon seasons. These samples were analyzed to assess the abundance of pathogenic bacteria and environmental parameters. The results revealed that bacterial abundance is significantly higher in the sediment than in the water, possibly due to a longer residence time of pathogenic bacteria in the sediment. Seasonal observations indicated an increase in pathogenic bacterial abundance during the monsoon season, suggesting an impact from monsoonal discharge. Escherichia coli-like organism, faecal coliforms, Shigella-like organisms, and Vibrio cholera-like organisms were the dominant pathogenic bacteria in both the water and sediment of the Rushikulya estuary. The higher abundance of these pathogens and the results of statistical analysis, which showed a strong correlation between Total Streptococci and BOD (r = 0.79), indicate the influence of human settlement and the mixing of untreated sewage in the Rushikulya estuary. The elevated levels of E. coli, faecal coliforms, and Shigella-like organisms in the Rushikulya estuary raise significant concerns that require immediate attention.

PMID:37682420 | DOI:10.1007/s10661-023-11784-8

Int J Cardiovasc Imaging. 2023 Sep 8. doi: 10.1007/s10554-023-02930-x. Online ahead of print.

ABSTRACT

The evaluation of cardiac magnetic resonance feature tracking may have great diagnostic value in hypertrophic cardiomyopathy and hypertensive heart disease. Exploring the diagnostic and clinical research value of cardiac magnetic resonance feature tracks in evaluation of myocardium deformation in patients with subclinical hypertrophic cardiomyopathy(SHCM)and subclinical hypertensive heart disease(SHHD). Cardiovascular Magnetic Resonance (CMR) scans were performed on a 1.5 T MR scanner in 33 patients with SHCM, 31 patients with SHHD, and 27 controls(NS). The CMR image post-processing software was used to analyze the characteristics of routine cardiac function, different global and regional myocardial strain in each group. Analysis of variance (ANOVA) was used to compare age, blood pressure, heart rate, routine cardiac function, body mass index (BMI), as well as the strain between different segments within each of the three groups. Once a significant difference was detected, a least significant difference (LSD) comparison would be performed. The diagnostic efficacy of different parameters in differentiating SHHD from SHCM was evaluated through receiver operating characteristic (ROC) curve analysis, and the best cut-off value was determined. There was no statistical difference among three groups (P>0.05) in routine cardiac function while significant statistical differences were found in the global myocardial strain parameters and the peak strain parameters of some segments (especially basal segments) (P < 0.05). The global radial peak strain (GRPS) was most effective (AUC = 0.885, 95% CI: 0.085-0.971, P<0.001) with a sensitivity and specificity of 84% and 88% at a cut-off value of 40.105, contributing to distinguishing SHCM from SHHD group. Cardiac magnetic resonance feature tracking could detect left ventricular deformation in patients with SHCM and SHHD group. The abnormality of strain has important research value for subclinical diagnosis and clinical evaluation.

PMID:37682417 | DOI:10.1007/s10554-023-02930-x

Funct Integr Genomics. 2023 Sep 8;23(4):293. doi: 10.1007/s10142-023-01228-4.

ABSTRACT

Sporadic Alzheimer’s disease (AD) is a complex neurological disorder characterized by many risk loci with potential associations with different traits and diseases. AD, characterized by a progressive loss of neuronal functions, manifests with different symptoms such as decline in memory, movement, coordination, and speech. The mechanisms underlying the onset of AD are not always fully understood, but involve a multiplicity of factors. Early diagnosis of AD plays a central role as it can offer the possibility of early treatment, which can slow disease progression. Currently, the methods of diagnosis are cognitive testing, neuroimaging, or cerebrospinal fluid analysis that can be time-consuming, expensive, invasive, and not always accurate. In the present study, we performed a genetic correlation analysis using genome-wide association statistics from a large study of AD and UK Biobank, to examine the association of AD with other human traits and disorders. In addition, since hippocampus, a part of cerebral cortex could play a central role in several traits that are associated with AD; we analyzed the gene expression profiles of hippocampus of AD patients applying 4 different artificial neural network models. We found 65 traits correlated with AD grouped into 9 clusters: medical conditions, fluid intelligence, education, anthropometric measures, employment status, activity, diet, lifestyle, and sexuality. The comparison of different 4 neural network models along with feature selection methods on 5 Alzheimer’s gene expression datasets showed that the simple basic neural network model obtains a better performance (66% of accuracy) than other more complex methods with dropout and weight regularization of the network.

PMID:37682415 | DOI:10.1007/s10142-023-01228-4

Sports Med. 2023 Sep 8. doi: 10.1007/s40279-023-01926-w. Online ahead of print.

ABSTRACT

It has often been reported that mental exertion, presumably leading to mental fatigue, can negatively affect exercise performance; however, recent findings have questioned the strength of the effect. To further complicate this issue, an overlooked problem might be the presence of publication bias in studies using underpowered designs, which is known to inflate false positive report probability and effect size estimates. Altogether, the presence of bias is likely to reduce the evidential value of the published literature on this topic, although it is unknown to what extent. The purpose of the current work was to assess the evidential value of studies published to date on the effect of mental exertion on exercise performance by assessing the presence of publication bias and the observed statistical power achieved by these studies. A traditional meta-analysis revealed a Cohen’s d_z effect size of – 0.54, 95% CI [- 0.68, – 0.40], p < .001. However, when we applied methods for estimating and correcting for publication bias (based on funnel plot asymmetry and observed p-values), we found that the bias-corrected effect size became negligible with most of publication-bias methods and decreased to – 0.36 in the more optimistic of all the scenarios. A robust Bayesian meta-analysis found strong evidence in favor of publication bias, BF_pb > 1000, and inconclusive evidence in favor of the effect, adjusted d_z = 0.01, 95% CrI [- 0.46, 0.37], BF₁₀ = 0.90. Furthermore, the median observed statistical power assuming the unadjusted meta-analytic effect size (i.e., – 0.54) as the true effect size was 39% (min = 19%, max = 96%), indicating that, on average, these studies only had a 39% chance of observing a significant result if the true effect was Cohen’s d_z = – 0.54. If the more optimistic adjusted effect size (- 0.36) was assumed as the true effect, the median statistical power was just 20%. We conclude that the current literature is a useful case study for illustrating the dangers of conducting underpowered studies to detect the effect size of interest.

PMID:37682411 | DOI:10.1007/s40279-023-01926-w

J Autism Dev Disord. 2023 Sep 8. doi: 10.1007/s10803-023-06077-5. Online ahead of print.

ABSTRACT

Present study aimed to evaluate the relationship between self-compassion and psychological hardiness, and psychological well-being among mothers of children with autism. The research design was correlational, and its statistical population sample consisted of 101 mothers of children with an autism spectrum disorder. The results of a correlational analysis showed a significant positive relationship between self-compassion and psychological hardiness, and psychological well-being. Multiple regression analysis showed that among the variables of self-compassion and psychological hardiness, the variable of self-compassion had the largest share in predicting the psychological well-being of mothers. Concerning self-compassion, conscious awareness of self-kindness along with psychological hardship could predict the psychological well-being in these groups of mothers, such as raising a child with ASD.

PMID:37682408 | DOI:10.1007/s10803-023-06077-5

Acta Ophthalmol. 2023 Sep 8. doi: 10.1111/aos.15760. Online ahead of print.

ABSTRACT

PURPOSE: To evaluate the influence of topical short-acting mydriatics on the formation of posterior synechia after phacovitrectomy surgery of pars plana vitrectomy and phacoemulsification with intraocular lens implantation.

METHODS: A prospective randomised controlled trial. Fifty-seven adult (>18 years old) patients (57 eyes) who underwent phacovitrectomy surgery at a single tertiary hospital, were randomly divided into two groups. The control group (29 eyes) received standard postoperative treatment (topical antibiotics and steroids). The study group (28 eyes) received short-acting mydriatics together with standard therapy. Patients were followed until 24 months after surgery. The primary outcome measure was the formation of posterior synechia during the follow-up period.

RESULTS: A total of 7 patients developed posterior synechia during the follow-up period (12%), 3 in the study group (11%) and 4 in the control group (14%). There was no statistical difference between the groups. Significant associations for the development of posterior synechia were surgery for retinal detachment, longer surgery duration (>93 min) and the use of tamponade, in particular silicone oil.

CONCLUSIONS: The use of topical short-acting mydriatic drops after phacovitrectomy surgery, in addition to standard post-operative treatment, did not reduce the formation of posterior synechia. However, we identified several factors that may influence or act as predictors for the development of posterior synechia: surgery for retinal detachment, using silicone oil tamponade and a longer surgery duration. Our findings may aid in the standardisation of post-phacovitrectomy surgery treatment and define potential at-risk patients who should be monitored more closely.

PMID:37681397 | DOI:10.1111/aos.15760

Ying Yong Sheng Tai Xue Bao. 2023 Aug;34(8):2267-2273. doi: 10.13287/j.1001-9332.202308.030.

ABSTRACT

As a vulnerable species identified by the International Union for Conservation of Nature (IUCN), Lepidochelys olivacea has attracted extensive attention in recent years. To examine its current distribution and that under future climate change scenarios, we compiled the occurrence data of L. olivacea. With eight predictor variables, including depth, offshore distance, mean primary productivity, minimum primary productivity, mean sea surface temperature, minimum sea surface temperature, mean sea surface salinity, and minimum sea surface salinity, we predicted its distribution in an ensemble species distribution model. The accuracy of the model was evaluated with the parameters of areas under curves (AUC) and true skill statistics (TSS). The results showed that the AUC and TSS values were 0.96 and 0.81, respectively, indicating a good predictive performance of the ensemble model. Sea surface temperature and salinity were the two most important variables determining the distribution of L. olivacea, with the suitable temperature ranging from 23 to 29 ℃ and salinity below 34. The current distribution range of L. olivacea was between 30° N-25° S. Under future climate scenarios, its distribution range would decrease, especially under the RCP85 scenario in the 2100s (with a 28% reduction in the suitable survival range). The results of model validation showed that it had high accuracy and could make accurate predictions of the distribution. This study would provide references for the development of more rational conservation measures and management strategies.

PMID:37681391 | DOI:10.13287/j.1001-9332.202308.030

Ying Yong Sheng Tai Xue Bao. 2023 Aug;34(8):2101-2112. doi: 10.13287/j.1001-9332.202308.004.

ABSTRACT

Chlorophyll is an important indicator of vegetation health status, accurate estimation of which is important for evaluating forest carbon sink. In this study, we estimated the chlorophyll content of coniferous forests, broad-leaved forests and mixed forest stands at stand and individual tree level by unmanned air vehicle (UAV) hyperspectral data combined with light detection and ranging (LiDAR) point clouds, which improved the non-destructive estimation accuracy of forest chlorophyll. We further comprehensively analyzed the spatial distribution of chlorophyll content at different scales. A total of 36 spectral characteristic variables related to chlorophyll content were screened by correlation analysis based on the fusion of UAV hyperspectral data and LiDAR point clouds combining with the empirical data from ground plots. We constructed multiple models for chlorophyll estimation by using statistical model, including multiple stepwise regression, BP neural network, BP neural network optimized by firefly algorithm, random forest and hybrid data-driven PROSPECT mechanism model. The optimal model was selected to estimate the chlorophyll content. The horizontal and vertical distribution of chlorophyll content at the stand level and individual tree level were analyzed. The results showed that the random forest model was superior to the models constructed by multiple stepwise regression, BP neural network and BP neural network optimized by firefly algorithm for chlorophyll estimation with R² and RMSE of 0.59-0.64 and 3.79-5.83 μg·cm^-2, respectively. The accuracy of the mechanism model was the highest, with R² and RMSE of 0.97 and 3.40 μg·cm^-2. The chlorophyll contents differed across stand types, with that in broad-leaved forest (25.25-31.60 μg·cm^-2) being higher than mixed forest (13.52-23.93 μg·cm^-2) and coniferous forest (6.40-13.71 μg·cm^-2). There were significant differences in chlorophyll contents the in vertical direction among different stands. For individual tree of different species, the chlorophyll content inside the canopy was lower than that outside the canopy in the horizontal direction. In the vertical direction, there was no difference in chlorophyll content among different layers of Pinus sylvestris var. mongolica canopy. However, significant differences were observed among the upper, middle, and lower layers of Juglans mandshurica canopy. Using the fusion of hyperspectral image and LiDAR point cloud data, the mechanism model driven by hybrid data could effectively improve the accuracy and stability of chlorophyll content estimation at different scales.

PMID:37681374 | DOI:10.13287/j.1001-9332.202308.004

Acta Paediatr. 2023 Sep 8. doi: 10.1111/apa.16970. Online ahead of print.

ABSTRACT

AIM: Preterm children are highly vulnerable to sensorial impairments through Retinopathy Of Prematurity (ROP). The objective was to determine whether some cases of ROP requiring surgery could be secondary to deficiencies in care pathways.

METHODS: Descriptive study of neonatal characteristics and the screening/treatment pathways of children treated for stage ≥4A ROP from 2009 to 2020 in a referral unit in France.

RESULTS: Twenty-five preterm children (44 eyes) were included: median gestational age was 25 weeks, and median birthweight was 700 grams. Eighty-four per cent had received at least one fundus examination, 50% of which were completed on time. At the time of retinal detachment diagnosis, only 36% of the children had received laser or anti-vascular endothelial growth factor (VEGF) intra-vitreal injection. ROP stage was only reported in 8%, and the zone or type was reported in 16% of the files.

CONCLUSION: The risk of blindness and the effectiveness of laser or anti-VEGF treatment highlight the need to enhance screening and treatment practices in France.

PMID:37681343 | DOI:10.1111/apa.16970