Category: Nevin Manimala

J Assoc Res Otolaryngol. 2023 Jan 30. doi: 10.1007/s10162-023-00887-1. Online ahead of print.

ABSTRACT

Dysfunction of the endolymphatic sac (ES) is one of the etiologies of Meniere’s disease (MD), the mechanism of which remains unclear. The aim of the present study was to explore the molecular pathological characteristics of ES during the development of MD. Metabolomic profiling of ES luminal fluid from patients with MD and patients with acoustic neuroma (AN) was performed. Diluted ES luminal fluid (ELF) samples were obtained from 10 patients who underwent endolymphatic duct blockage for the treatment of intractable MD and from 6 patients who underwent translabyrinthine surgery for AN. ELF analysis was performed using liquid chromatography-mass spectrometry before the raw data were normalized and subjected to subsequent statistical analysis by MetaboAnalyst. Using thresholds of P ≤ 0.05 and variable important in projection > 1, a total of 111 differential metabolites were screened in the ELF, including 52 metabolites in negative mode and 59 in positive mode. Furthermore, 15 differentially altered metabolites corresponding to 15 compound names were identified using a Student’s t-test, including 7 significant increased metabolites and 8 significant decreased metabolites. Moreover, two differentially altered metabolites, hyaluronic acid (HA) and 4-hydroxynonenal (4-HNE), were validated to be upregulated in the epithelial lining of the ES, as well as in the subepithelial connective-tissue in patients with MD comparing with that in patients with AN. Among these differentially altered metabolites, an upregulated expression of HA detected in the ES lumen of the patients with MD was supposed to be associated with the increased endolymph in ES, while an increased level of 4-HNE found in the ELF of the patients with MD provided direct evidence to support that oxidative damage and inflammatory lesions underlie the mechanism of MD. Furthermore, citrate and ethylenediaminetetraacetic acid were detected to be decreased substantially in the ELF of the patients with MD, suggesting the elevated endolymphatic Ca²⁺ in the ears with chronic endolymphatic hydrops is likely to be associated with the reduction of these two chelators of Ca²⁺ in ES. The results in the present study indicate metabolomic analysis in the ELF of the patients with MD can potentially improve our understanding on the molecular pathophysiological mechanism in the ES during the development of MD.

PMID:36715893 | DOI:10.1007/s10162-023-00887-1

Mem Cognit. 2023 Jan 30. doi: 10.3758/s13421-023-01394-7. Online ahead of print.

ABSTRACT

The present study investigated interactions between iconic memory and long-term memory during visual search. The contextual cueing paradigm was combined with a brief presentation procedure to determine whether statistical learning takes place from flashed displays and acts as a cue to guide spatial attention within iconic memory in subsequent visual search. In five experiments, participants were exposed to search displays that were presented for only 50 ms and had to detect a target among 11 distractors. Half of those displays were repeated across the task and half were presented once. The results revealed a contextual cueing effect in four of the experiments, revealing the capacity of the human brain to extract spatial regularities from very brief visual presentations and to later activate this knowledge to guide attention within a representation briefly maintained within iconic memory.

PMID:36715886 | DOI:10.3758/s13421-023-01394-7

J Thromb Thrombolysis. 2023 Jan 30. doi: 10.1007/s11239-023-02777-y. Online ahead of print.

ABSTRACT

Safety and efficacy of direct oral anticoagulants (DOAC) in low weight patients with atrial fibrillation (AF) is unclear due to few low body weight patients enrolled in clinical trials. To assess bleeding and thrombotic event rates for patients with AF that are prescribed apixaban and have a low versus normal body weight. We analyzed patients with AF prescribed apixaban from 2017 to 2020 with at least 12 months of follow-up. Patients were divided into low [< 60 kg (kg)] and normal (60-100 kg) weight cohorts. Bleeding and thrombotic event rates were compared. Poisson regression and Cox proportional hazard models were used to estimate adjusted adverse event rates. A total of 545 patients met inclusion criteria. In the unadjusted analysis, there was an increase in non-major bleeding events requiring an Emergency Department visit more often in the low versus normal weight cohort (10.8 versus 7.4 per 100 patient-years, p = 0.15). Thrombotic event rates also occurred more often in the lower versus normal weight cohort (2.4 versus 0.9 per 100 patient-years, p = 0.09). However, adjusted analysis found no statistically significant difference in bleeding or thrombotic events between low and normal weight cohorts. The adjusted hazard ratio for bleeding was similar between the two weight cohorts. The use of apixaban in low body weight patients was not associated with higher rates of bleeding or thrombotic events, compared to those with normal body weight, after adjusting for potential confounding covariates. Larger studies may offer further insight into the overall safety and efficacy of DOAC therapy in these patients.

PMID:36715882 | DOI:10.1007/s11239-023-02777-y

Phys Eng Sci Med. 2023 Jan 30. doi: 10.1007/s13246-023-01218-7. Online ahead of print.

ABSTRACT

Arterial inflammation is an indicator of atheromatous plaque vulnerability to detach and to obstruct blood vessels in the heart or in the brain thus causing heart attack or stroke. To date, it is difficult to predict the plaque vulnerability. This study was aimed to assess the behavior of 18F-sodium fluoride (18F-NaF) and 18F-fluorodeoxyglucose (18F-FDG) uptake in the aorta and iliac arteries as a function of plaque density on CT images. We report metabolically active artery plaques associated to inflammation in the absence of calcification. 18 elderly volunteers were recruited and imaged with computed tomography (CT) and positron emission tomography (PET) with 18F-NaF and 18F-FDG. A total of 1338 arterial segments were analyzed, 766 were non-calcified and 572 had calcifications. For both 18F-NaF and 18F-FDG, the mean SUV values were found statistically significantly different between non-calcified and calcified artery segments. Clustering CT non-calcified segments, excluding blood, resulted in two clusters C1 and C2 with a mean density of 30.63 ± 5.06 HU in C1 and 43.06 ± 4.71 HU in C2 (P < 0.05), and their respective SUV were found statistically different in 18F-NaF and 18F-FDG. The 18F-NaF images showed plaques not detected on CT images, where the 18F-FDG SUV values were high in comparison to artery walls without plaques. The density on CT images alone corresponding to these plaques could be further investigated to see whether it can be an indicator of the active plaques.

PMID:36715851 | DOI:10.1007/s13246-023-01218-7

Ann Biomed Eng. 2023 Jan 30. doi: 10.1007/s10439-023-03150-z. Online ahead of print.

ABSTRACT

Specific levator ani muscle imaging measures change with pregnancy and vaginal parity, though entire pelvic floor muscle complex (PFMC) shape variation related to pregnancy-induced and postpartum remodeling has never been quantified. We used statistical shape modeling to compute the 3D variation in PFMC morphology of reproductive-aged nulliparous, late pregnant, and parous women. Pelvic magnetic resonance images were collected retrospectively and PFMCs were segmented. Modes of variation and principal component scores, generated via statistical shape modeling, defined significant morphological variation. Nulliparous (have never given birth), late pregnant (3rd trimester), and parous (have given birth and not currently pregnant) PFMCs were compared via MANCOVA. The overall PFMC shape, mode 2, and mode 3 significantly differed across patient groups (p < 0.001, = 0.002, = 0.001, respectively). This statistical shape analysis described greater perineal and external anal sphincter descent, increased iliococcygeus concavity, and a proportionally wider mid-posterior levator hiatus in late pregnant compared to nulliparous and parous women. The late pregnant group was the most divergent, highlighting differences that likely reduce the mechanical burden of vaginal childbirth. This robust quantification of PFMC shape provides insight to pregnancy and postpartum remodeling and allows for generation of representative non-patient-specific PFMCs that can be used in biomechanical simulations.

PMID:36715838 | DOI:10.1007/s10439-023-03150-z

Clin Exp Med. 2023 Jan 30. doi: 10.1007/s10238-023-00998-2. Online ahead of print.

ABSTRACT

Papillary thyroid carcinoma (PTC) has a relatively good prognosis, yet there are some invasive PTC cases with worse clinicopathological features and poor outcome. Cancer-associated fibroblasts (CAFs) play an important role in cancer invasion and metastasis. This study aimed to investigate the expression of marker proteins of CAFs in PTC and their correlations with clinicopathological features through immunohistochemistry. The medical records of 125 PTC patients were reviewed in this study, whose specimens were retrieved for immunohistochemistry. Four CAFs marker proteins, FAP fibroblast activated protein (FAP), α-smooth muscle actin (α-SMA), Vimentin and platelet-derived growth factor receptor-α(PDGFR-α), were stained and scored. Then, statistical analyses were performed. The immunoreactivity scores of FAP and α-SMA correlated with tumor size, BRAF mutation, extrathyroidal, invasion, pathological subtype, lymph node metastasis and ATA risk stratification. Moreover, binary logistic regression analysis and receiver operating characteristic curves showed that high FAP and α-SMA immunoreactivity scores were risk factors for extrathyroidal invasion, BRAF mutation, multi-focality and lymph node metastasis (especially N1b) with good sensitivity and accuracy in prediction. A better performance was found in FAP than α-SMA. Strong expressions of CAFs were risk factors for worse thyroid cancer clinicopathological features. FAP was the better CAFs marker for PTC.

PMID:36715834 | DOI:10.1007/s10238-023-00998-2

Environ Sci Pollut Res Int. 2023 Jan 30. doi: 10.1007/s11356-023-25596-3. Online ahead of print.

ABSTRACT

Groundwater quality is typically measured through water sampling and lab analysis. The field-based measurements are costly and time-consuming when applied over a large domain. In this study, we developed a machine learning-based framework to map groundwater quality in an unconfined aquifer in the north of Iran. Groundwater samples were provided from 248 monitoring wells across the region. The groundwater quality index (GWQI) in each well was measured and classified into four classes: very poor, poor, good, and excellent, according to their cut-off values. Factors affecting groundwater quality, including distance to industrial centers, distance to residential areas, population density, aquifer transmissivity, precipitation, evaporation, geology, and elevation, were identified and prepared in the GIS environment. Six machine learning classifiers, including extreme gradient boosting (XGB), random forest (RF), support vector machine (SVM), artificial neural networks (ANN), k-nearest neighbor (KNN), and Gaussian classifier model (GCM), were used to establish relationships between GWQI and its controlling factors. The algorithms were evaluated using the receiver operating characteristic curve (ROC) and statistical efficiencies (overall accuracy, precision, recall, and F-1 score). Accuracy assessment showed that ML algorithms provided high accuracy in predicting groundwater quality. However, RF was selected as the optimum model given its higher accuracy (overall accuracy, precision, and recall = 0.92; ROC = 0.95). The trained RF model was used to map GWQI classes across the entire region. Results showed that the poor GWQI class is dominant in the study area (covering 66% of the study area), followed by good (19% of the area), very poor (14% of the area), and excellent (< 1% of the area) classes. An area of very poor GWQI was observed in the north. Feature analysis indicated that the distance to industrial locations is the main factor affecting groundwater quality in the region. The study provides a cost-effective methodology in groundwater quality modeling that can be duplicated in other regions with similar hydrological and geological settings.

PMID:36715809 | DOI:10.1007/s11356-023-25596-3

Environ Sci Pollut Res Int. 2023 Jan 30. doi: 10.1007/s11356-023-25496-6. Online ahead of print.

ABSTRACT

With the effect of global warming, the frequency of floods, one of the most important natural disasters, increases, and this increases the damage it causes to people and the environment. Flood routing models play an important role in predicting floods so that all necessary precautions are taken before floods reach the region, loss of life and property in the region is prevented, and agricultural lands are protected. This research aims to compare the performance of hybrid machine learning models such as least-squares support vector machine technique hybridized with particle swarm optimization, empirical mode decomposition, variational mode decomposition, and discrete wavelet transform processes for flood routing estimation models in Ordu, Eastern Black Sea Basin, Türkiye. In addition, it is aimed to examine the effect of data division in flood forecasting. Accordingly, 70%, 80%, and 90% of the data were used for training, respectively. For this purpose, the flood data of 2009 and 2013 in Ordu were used. The performance of the established models was evaluated with the help of statistical indicators such as mean bias error, mean absolute percentage error, determination coefficient, Nash-Sutcliffe efficiency, Taylor Diagrams, and boxplot. As a result of the study, the particle swarm optimization least-squares support vector machine technique was chosen as the most successful model in predicting flood routing results. In addition, the optimum data partition ratio was found to be Train:70:Test:30 in the flood routing calculation. The findings are essential regarding flood management and taking necessary precautions before the flood occurs.

PMID:36715798 | DOI:10.1007/s11356-023-25496-6

Ir J Med Sci. 2023 Jan 30. doi: 10.1007/s11845-022-03267-5. Online ahead of print.

ABSTRACT

BACKGROUND: Fragility fractures are described as fractures resulting from low-energy trauma and are considered diagnostic of reduced bone mineral density or osteoporosis. They often present as hip fractures with hip fractures remaining a common but devastating injury among older patients. Many factors influence a patient’s risk of hip fracture and their subsequent risk of death.

AIM: In this study, we examined if previous fragility fracture impacts upon mortality after hip fracture.

METHODS: This was a retrospective single-center cohort study of patients included in the Irish Hip Fracture registry over a 5-year time period. Epidemiological data including gender, age, type of fracture, type of surgery, bone protection medication, American Society of Anesthetics (ASA) grade, and post-fracture outcomes including death at 30 days and death at 1 year were recorded. The presence or absence of a previous fragility fracture was examined to explore if a previous fragility fracture was an independent predictor of mortality.

RESULTS: There were 964 patients included, and 290 of whom had sustained a previous fragility fracture; 289 patients were males and 675 females, 33 patients had died in the 30 days following their surgery, and 180 patients had died within 1 year. We found statistically significant results for gender and age but not for previous fragility fracture influencing mortality (p value 0.230).

CONCLUSION: We found that previous fragility fracture does not impact upon mortality in a hip fracture cohort. However, gender and age did impact upon mortality in this study.

PMID:36715792 | DOI:10.1007/s11845-022-03267-5

J Anim Sci. 2023 Jan 28:skad034. doi: 10.1093/jas/skad034. Online ahead of print.

ABSTRACT

The microbes that reside within the equine hindgut create a complex and dynamic ecosystem. The equine hindgut microbiota is intimately associated with health and, as such, represents an area which can be beneficially modified. Synbiotics, supplements that combine probiotic microorganisms with prebiotic ingredients, are a potential means of influencing the hindgut microbiota to promote health and prevent disease. The objective of the current study was to evaluate the influence of an equine probiotic/prebiotic supplement on characteristics of the microbiota and metabolite production in vitro. Equine cecal fluid and fecal material were collected from an abattoir in QC, CAN. Five hundred ml of cecal fluid was used to inoculate chemostat vessels maintained as batch fermenters (chemostat cecal, n=11) with either 0g (control) or 0.44g of supplement added at 12h intervals. One hundred ml of cecal fluid (anaerobic cecal, n=15) or 5% fecal slurry (anaerobic fecal, n=6) were maintained in an anaerobic chamber with either 0g (control) or 0.356g of supplement added at the time of vessel establishment. Samples were taken from vessels at vessel establishment (0h), 24h, or 48h of incubation. Illumina sequencing of the V4 region of the 16S rRNA gene and bioinformatics were performed for microbiome analysis. Metabolite data was obtained via NMR spectroscopy. All statistical analyses were run in SAS 9.4. There was no effect of treatment at 24h or 48h on alpha or beta diversity indices and limited taxonomic differences were noted. Acetate, propionate, and butyrate were higher in treated compared to untreated vessels in all methods. A consistent effect of supplementation on the metabolic profile with no discernable impact on the microbiota of these in vitro systems indicates inoculum microbe viability and a utilization of the provided fermentable substrate within the systems. Although no changes within the microbiome were apparent, the consistent changes in metabolites indicates a potential prebiotic effect of the added supplement and merits further exploration.

PMID:36715114 | DOI:10.1093/jas/skad034