Categories
Nevin Manimala Statistics

A unique approach for in-situ monitoring of the THCA decarboxylation reaction in solid state

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Oct 9;267(Pt 2):120471. doi: 10.1016/j.saa.2021.120471. Online ahead of print.

ABSTRACT

The decarboxylation of Δ9-tetrahydrocannabinolic acid (THCA) plays pivotal role in the potency of medical cannabis and its extracts. Our present work aims to draw attention to mid-infrared (MIR) spectroscopy to in-situ monitor and decipher the THCA decarboxylation reaction in the solid state. The initial TG/DTG curves of THCA, for a first time, outlined the solid-solid decarboxylation dynamics, defined the endpoint of the process and the temperature of the maximal conversion rate, which aided in the design of the further IR experiment. Temperature controlled IR spectroscopy experiments were performed on both THCA standard and cannabis flower by providing detailed band assignment and conducting spectra-structure correlations, based on the concept of functional groups vibrations. Moreover, a multivariate statistical analysis was employed to address the spectral regions of utmost importance for the THCA → THC interconversion process. The principal component analysis model was reduced to two PCs, where PC1 explained 94.76% and 98.21% of the total spectral variations in the THCA standard and in the plant sample, respectively. The PC1 plot score of the THCA standard, as a function of the temperature, neatly complemented to the TG/DTG curves and enabled determination of rate constants for the decarboxylation reaction undertaken on several selected temperatures. The predictive capability of MIR was further demonstrated with PLS (R2X = 0.99, R2Y = 0.994 and Q2 = 0.992) using thermally treated flower samples that covered broad range of THCA/THC content. Consequently, a progress in elucidation of kinetic models of THCA decarboxylation in terms of fitting the experimental data for both, solid state standard substance and a plant flower, was achieved. The results open the horizon to promote an appropriate process analytical technology (PAT) in the outgrowing medical cannabis industry.

PMID:34655978 | DOI:10.1016/j.saa.2021.120471

Categories
Nevin Manimala Statistics

Varenicline as a treatment for cannabis use disorder: A placebo-controlled pilot trial

Drug Alcohol Depend. 2021 Sep 28;229(Pt B):109111. doi: 10.1016/j.drugalcdep.2021.109111. Online ahead of print.

ABSTRACT

BACKGROUND: An efficacious pharmacotherapy for cannabis use disorder (CUD) has yet to be established. This study preliminarily evaluated the safety and efficacy of varenicline for CUD in a proof-of-concept clinical trial.

METHODS: Participants in this 6-week randomized, placebo-controlled pilot trial received either varenicline (n = 35) or placebo (n = 37), added to a brief motivational enhancement therapy intervention. Outcomes included cannabis withdrawal, cannabis abstinence, urine cannabinoid levels, percent cannabis use days, and cannabis sessions per day.

RESULTS: Both treatment groups noted significant decreases in self-reported cannabis withdrawal, percentage of days used, and use sessions per day during treatment compared to baseline. While this pilot trial was not powered to detect statistically significant between-group differences, participants randomized to varenicline evidenced numerically greater rates of self-reported abstinence at the final study visit [Week 6 intent-to-treat (ITT): Varenicline: 17.1% vs. Placebo: 5.4%; RR = 3.2 (95% CI: 0.7,14.7)]. End-of-treatment urine creatinine corrected cannabinoid levels were numerically lower in the varenicline group and higher in the placebo group compared to baseline [Change from baseline: Varenicline -1.7 ng/mg (95% CI: -4.1,0.8) vs. Placebo: 1.9 ng/mg (95% CI: -0.4,4.3); Δ = 3.5 (95% CI: 0.1,6.9)]. Adverse events related to study treatment did not reveal new safety signals.

CONCLUSIONS: Findings support the feasibility of conducting clinical trials of varenicline as a candidate pharmacotherapy for CUD, and indicate that a full-scale efficacy trial, powered based on effect sizes and variability yielded in this study, is warranted.

PMID:34655945 | DOI:10.1016/j.drugalcdep.2021.109111

Categories
Nevin Manimala Statistics

Altered adipokine levels are associated with dimethyl fumarate treatment in multiple sclerosis patients

Mult Scler Relat Disord. 2021 Oct 4;56:103311. doi: 10.1016/j.msard.2021.103311. Online ahead of print.

ABSTRACT

BACKGROUND: Obesity is linked to increased risk of multiple sclerosis (MS) and worsening disease severity. Recent experimental and clinical data indicates that adipokines are involved in regulating immune response and serve as cross talk between immune and neural system. Dimethyl fumarate (DMF) is an oral MS medication with unknown mechanism of action. It upregulates the nuclear factor E2-related factor 2 (Nrf2) pathway, a pathway for adipocyte differentiation. To determine a possible relationship between treatment with dimethyl fumarate, serum adipokine profiles and treatment response in patients with MS, we conducted an observational cohort study and measured serum adipokine and Vitamin D levels before and after treatment with DMF and examined their association with treatment response.

METHODS: We identified patients enrolled in the Comprehensive Longitudinal Investigation of Multiple Sclerosis at Brigham and Women’s Hospital (CLIMB) study who were treated with dimethyl fumarate and had available serum samples. Longitudinal pre-treatment and on-treatment samples were available in 23 patients. Cross-sectional on-treatment samples were available in 91 patients, who were classified into DMF responders and non-responders based on radiologic and clinical relapse activity or disability progression. We measured serum leptin, adiponectin, resistin, ghrelin, fatty acid binding protein-4 (FABP-4) and-5 (FABP-5), vitamins D2 and D3. Statistical analysis was performed with paired t-tests, Wilcoxon signed-rank and Mann-Whitney U tests.

RESULTS: After treatment with DMF, serum adiponectin levels significantly increased, whereas FABP-4 levels significantly decreased compared to baseline levels, without a statistically significant change in the patients’ BMI. Ghrelin levels were insignificantly lower post-treatment. FABP-4 levels were significantly higher in DMF responders compared to non-responders. This effect was sex-specific, with higher FABP4 levels associated with treatment response in males, but not females.

CONCLUSION: DMF treatment is associated with significant changes in serum adipokine levels, primarily adiponectin and FABP-4. Sex may affect the association between FABP-4 and treatment response.

PMID:34655958 | DOI:10.1016/j.msard.2021.103311

Categories
Nevin Manimala Statistics

Local dose reference levels during transarterial chemoembolization procedure

Appl Radiat Isot. 2021 Oct 12;178:109982. doi: 10.1016/j.apradiso.2021.109982. Online ahead of print.

ABSTRACT

The aim of this study was to develop local diagnostic reference levels (LDRL) during Transarterial chemoembolization (TACE). This cross-sectional study reports radiation dose indicators of 108 patients in a Mexican hospital, obtained over a period of 35 months. Kerma-area product (PKA), air-kerma at the reference point (Ka, r), and descriptive statistical analysis were examined according to sociodemographic characteristics of the sample patients. The LDRL obtained were then compared to a similar international framework. The present study contributes to the establishment of a TACE LDRL and identifies significant correlations among radiology factors and dosimetric quantities obtained.

PMID:34655924 | DOI:10.1016/j.apradiso.2021.109982

Categories
Nevin Manimala Statistics

Biomechanics of vascular areas of the human cranial dura mater

J Mech Behav Biomed Mater. 2021 Sep 30;125:104866. doi: 10.1016/j.jmbbm.2021.104866. Online ahead of print.

ABSTRACT

Accurate biomechanical properties of the human cranial dura mater are paramount for computational head models, artificial graft developments and biomechanical basic research. Yet, it is unclear whether areas of the dura containing meningeal vessels biomechanically differ from avascular areas. Here, 244 dura mater samples with or without vessels from 32 cadavers were tested in a quasi-static uniaxial tensile testing setup. The thicknesses of the meningeal and periosteal dura in vascular and avascular areas were histologically investigated in 36 samples using van Gieson staining. The elastic modulus of 112 MPa from dura samples containing vessels running transversely was significantly lower than samples with vessels running longitudinally (151 MPa; p < 0.001). The ultimate tensile strength of dura samples with transversely running vessels (11.1 MPa) was significantly lower in comparison to both avascular samples (14.9 MPa; p < 0.001) and samples with a longitudinally running vessel (15.0 MPa; p < 0.001). The maximum force of dura samples with longitudinally running vessels was 37 N (p < 0.001), this was significantly higher compared to the other groups which were 23 N (p < 0.001). The meningeal and periosteal dura layer thicknesses were not statistically different in avascular areas (p > 0.222). However, around the vessels, the meningeal dura layer was significantly thicker compared to the periosteal layer (p ≤ 0.019). The sum of the meningeal and periosteal layers was similar between vascular and avascular areas (p ≥ 0.071). Vascular areas of the human cranial dura mater withstand the same forces as avascular areas when being stretched. When stretched along the vessel, the dura-vessel composite can withstand even higher tensile forces compared to avascular areas. Vascular areas of the cranial dura mater seem to be similar when compared to avascular areas making their separate simulation in computational models non-essential.

PMID:34655943 | DOI:10.1016/j.jmbbm.2021.104866

Categories
Nevin Manimala Statistics

Neuroimaging correlates of gait abnormalities in progressive supranuclear palsy

Neuroimage Clin. 2021 Oct 12;32:102850. doi: 10.1016/j.nicl.2021.102850. Online ahead of print.

ABSTRACT

Progressive supranuclear palsy is a neurodegenerative disorder characterized primarily by tau inclusions and neurodegeneration in the midbrain, basal ganglia, thalamus, premotor and frontal cortex. Neurodegenerative change in progressive supranuclear palsy has been assessed using MRI. Degeneration of white matter tracts is evident with diffusion tensor imaging and PET methods have been used to assess brain metabolism or presence of tau protein deposits. Patients with progressive supranuclear palsy present with a variety of clinical syndromes; however early onset of gait impairments and postural instability are common features. In this study we assessed the relationship between multimodal imaging biomarkers (i.e., MRI atrophy, white matter tracts degeneration, flortaucipir-PET uptake) and laboratory-based measures of gait and balance abnormalities in a cohort of nineteen patients with progressive supranuclear palsy, using univariate and multivariate statistical analyses. The PSP rating scale and its gait midline sub-score were strongly correlated to gait abnormalities but not to postural imbalance. Principal component analysis on gait variables identified velocity, stride length, gait stability ratio, length of gait phases and dynamic stability as the main contributors to the first component, which was associated with diffusion tensor imaging measures in the posterior thalamic radiation, external capsule, superior cerebellar peduncle, superior fronto-occipital fasciculus, body and splenium of the corpus callosum and sagittal stratum, with MRI volumes in frontal and precentral regions and with flortaucipir-PET uptake in the precentral gyrus. The main contributor to the second principal component was cadence, which was higher in patients presenting more abnormalities on mean diffusivity: this unexpected finding might be related to compensatory gait strategies adopted in progressive supranuclear palsy. Postural imbalance was the main contributor to the third principal component, which was related to flortaucipir-PET uptake in the left paracentral lobule and supplementary motor area and white matter disruption in the superior cerebellar peduncle, putamen, pontine crossing tract and corticospinal tract. A partial least square model identified flortaucipir-PET uptake in midbrain, basal ganglia and thalamus as the main correlate of speed and dynamic component of gait in progressive supranuclear palsy. Although causality cannot be established in this analysis, our study sheds light on neurodegeneration of brain regions and white matter tracts that underlies gait and balance impairment in progressive supranuclear palsy.

PMID:34655905 | DOI:10.1016/j.nicl.2021.102850

Categories
Nevin Manimala Statistics

Spatiotemporal monitoring of Cysticercus pisiformis in European wild rabbit (Oryctolagus cuniculus) in Mediterranean ecosystems in southern Spain

Prev Vet Med. 2021 Oct 11;197:105508. doi: 10.1016/j.prevetmed.2021.105508. Online ahead of print.

ABSTRACT

Cysticercosis in wild lagomorphs is caused by Cysticercus pisiformis, the larval stage of Taenia pisiformis. Although previous studies have reported the presence of T. pisiformis in different wild carnivore species, information about the prevalence of C. pisiformis in their intermediate hosts is still very scarce. An epidemiological surveillance program was carried out to determine the prevalence and spatiotemporal patterns of cysticercosis in wild rabbits (Oryctolagus cuniculus) from Spanish Mediterranean ecosystems. A total of 2,923 animals were sampled in 164 hunting estates from Andalusia (southern Spain) during four study periods: 2009-2012 (P1), 2012-2015 (P2), 2015-2018 (P3) and 2018-2020 (P4). The presence of cysticerci was assessed by macroscopical examination and a subset of the collected parasites were molecularly identified by conventional PCR targeting the ITS-1 and 12S rRNA partial genes of Taenia spp. Risk factors associated with cysticercus infection were assessed by generalized estimating equation (GEE) analysis. A spatial statistical analysis was carried out using a Bernoulli model to identify statistically significant spatial clusters. Cysticercus infection was confirmed in 81 (2.8 %; 95 % CI: 2.2-3.4) rabbits. Cysticerci from 18 infected animals were molecularly identified as T. pisiformis. The GEE model showed the study period as the only risk factor associated with C. pisiformis infection in wild rabbits. Significantly higher prevalence was found in P2 (6.1 %; 95 % CI: 4.4-8.4) compared to the rest of the periods. At least one cysticerci-positive animal was detected in 41 (25.0 %; 95 % CI: 18.4-31.6) out of the 164 hunting estates. No statistically significant spatial clusters of high cysticercus prevalence were identified. Our results indicate an endemic circulation of C. pisiformis in wild rabbits in southern Spain. The spatial results highlight a widespread distribution of this parasite in their populations. Further studies should focus in determining which sympatric species may act as definitive hosts for T. pisiformis and the relevance of other potential intermediate host species (e.g. hares and rodents), as the relevance of wild rabbits in the sylvatic cycle of this cestode in Mediterranean ecosystems seems to be low.

PMID:34655912 | DOI:10.1016/j.prevetmed.2021.105508

Categories
Nevin Manimala Statistics

Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering

Comput Biol Med. 2021 Oct 5;138:104915. doi: 10.1016/j.compbiomed.2021.104915. Online ahead of print.

ABSTRACT

The SARS-CoV-2 virus like many other viruses has transformed in a continual manner to give rise to new variants by means of mutations commonly through substitutions and indels. These mutations in some cases can give the virus a survival advantage making the mutants dangerous. In general, laboratory investigation must be carried to determine whether the new variants have any characteristics that can make them more lethal and contagious. Therefore, complex and time-consuming analyses are required in order to delve deeper into the exact impact of a particular mutation. The time required for these analyses makes it difficult to understand the variants of concern and thereby limiting the preventive action that can be taken against them spreading rapidly. In this analysis, we have deployed a statistical technique Shannon Entropy, to identify positions in the spike protein of SARS Cov-2 viral sequence which are most susceptible to mutations. Subsequently, we also use machine learning based clustering techniques to cluster known dangerous mutations based on similarities in properties. This work utilizes embeddings generated using language modeling, the ProtBERT model, to identify mutations of a similar nature and to pick out regions of interest based on proneness to change. Our entropy-based analysis successfully predicted the fifteen hotspot regions, among which we were able to validate ten known variants of interest, in six hotspot regions. As the situation of SARS-COV-2 virus rapidly evolves we believe that the remaining nine mutational hotspots may contain variants that can emerge in the future. We believe that this may be promising in helping the research community to devise therapeutics based on probable new mutation zones in the viral sequence and resemblance in properties of various mutations.

PMID:34655896 | DOI:10.1016/j.compbiomed.2021.104915

Categories
Nevin Manimala Statistics

Structural probing of HapR to identify potent phytochemicals to control Vibrio cholera through integrated computational approaches

Comput Biol Med. 2021 Oct 9;138:104929. doi: 10.1016/j.compbiomed.2021.104929. Online ahead of print.

ABSTRACT

Cholera is a severe small intestine bacterial disease caused by consumption of water and food contaminated with Vibrio cholera. The disease causes watery diarrhea leading to severe dehydration and even death if left untreated. In the past few decades, V. cholerae has emerged as multidrug-resistant enteric pathogen due to its rapid ability to adapt in detrimental environmental conditions. This research study aimed to design inhibitors of a master virulence gene expression regulator, HapR. HapR is critical in regulating the expression of several set of V. cholera virulence genes, quorum-sensing circuits and biofilm formation. A blind docking strategy was employed to infer the natural binding tendency of diverse phytochemicals extracted from medicinal plants by exposing the whole HapR structure to the screening library. Scoring function criteria was applied to prioritize molecules with strong binding affinity (binding energy < -11 kcal/mol) and as such two compounds: Strychnogucine A and Galluflavanone were filtered. Both the compounds were found favourably binding to the conserved dimerization interface of HapR. One rare binding conformation of Strychnogucine A was noticed docked at the elongated cavity formed by α1, α4 and α6 (binding energy of -12.5 kcal/mol). The binding stability of both top leads at dimer interface and elongated cavity was further estimated using long run of molecular dynamics simulations, followed by MMGB/PBSA binding free energy calculations to define the dominance of different binding energies. In a nutshell, this study presents computational evidence on antibacterial potential of phytochemicals capable of directly targeting bacterial virulence and highlight their great capacity to be utilized in the future experimental studies to stop the evolution of antibiotic resistance evolution.

PMID:34655900 | DOI:10.1016/j.compbiomed.2021.104929

Categories
Nevin Manimala Statistics

Bioinformatics analysis of the differences in the binding profile of the wild-type and mutants of the SARS-CoV-2 spike protein variants with the ACE2 receptor

Comput Biol Med. 2021 Oct 9;138:104936. doi: 10.1016/j.compbiomed.2021.104936. Online ahead of print.

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). Reports of new variants that potentially increase virulence and viral transmission, as well as reduce the efficacy of available vaccines, have recently emerged. In this study, we computationally analyzed the N439K, S477 N, and T478K variants for their ability to bind Angiotensin-converting enzyme 2 (ACE2). We used the protein-protein docking approach to explore whether the three variants displayed a higher binding affinity to the ACE2 receptor than the wild type. We found that these variants alter the hydrogen bonding network and the cluster of interactions. Additional salt bridges, hydrogen bonds, and a high number of non-bonded contacts (i.e., non-bonded interactions between atoms in the same molecule and those in other molecules) were observed only in the mutant complexes, allowing efficient binding to the ACE2 receptor. Furthermore, we used a 2.0-μs all-atoms simulation approach to detect differences in the structural dynamic features of the resulting protein complexes. Our findings revealed that the mutant complexes possessed stable dynamics, consistent with the global trend of mutations yielding variants with improved stability and enhanced affinity. Binding energy calculations based on molecular mechanics/generalized Born surface area (MM/GBSA) further revealed that electrostatic interactions principally increased net binding energies. The stability and binding energies of N439K, S477 N, and T478K variants were enhanced compared to the wild-type-ACE2 complex. The net binding energy of the systems was -31.86 kcal/mol for the wild-type-ACE2 complex, -67.85 kcal/mol for N439K, -69.82 kcal/mol for S477 N, and -69.64 kcal/mol for T478K. The current study provides a basis for exploring the enhanced binding abilities and structural features of SARS-CoV-2 variants to design novel therapeutics against the virus.

PMID:34655895 | DOI:10.1016/j.compbiomed.2021.104936