14 research outputs found

    HIV, opioid use, and alterations to the gut microbiome: elucidating independent and synergistic effects

    Get PDF
    BackgroundThe microbiome is essential to immune development, defense against pathogens, and modulation of inflammation. Microbial dysbiosis has been reported in various diseases including human immunodeficiency virus (HIV) and opioid use disorder (OUD). Notably, people living with HIV (PLWH) have been reported to both have higher rates of OUD and use opioids at higher rates than the general public. Thus, studying gut microbial alterations in people living with HIV and with OUD could elucidate mechanisms pertaining to how these conditions both shape and are shaped by the microbiome. However, to date few studies have investigated how HIV and OUD in combination impact the microbiome.Aim of reviewHere, we review previous studies outlining interactions between HIV, opioid use, and microbial dysbiosis and describe attempts to treat this dysbiosis with fecal microbial transplantation, probiotics, and dietary changes.Key scientific concepts of reviewWhile the limited number of studies prevent overgeneralizations; accumulating data suggest that HIV and opioid use together induce distinct alterations in the gut microbiome. Among the three existing preclinical studies of HIV and opioid use, two studies reported a decrease in Lachnospiraceae and Ruminococcaceae, and one study reported a decrease in Muribaculaceae in the combined HIV and opioid group relative to HIV-alone, opioid-alone, or control groups. These bacteria are known to modulate immune function, decrease colonic inflammation, and maintain gut epithelial barrier integrity in healthy individuals. Accordingly, modulation of the gut microbiome to restore gut homeostasis may be attempted to improve both conditions. While mixed results exist regarding treating dysbiosis with microbial restoration in PLWH or in those with opioid dependency, larger well-defined studies that can improve microbial engraftment in hosts hold much promise and should still be explored

    Diagnostic efficiency of single source dual energy CT in differentiating adrenal adenoma from adrenal metastasis

    Get PDF
    Background: The distinction between incidental adrenal lesions is still difficult in diagnostic imaging whereas Dual energy CT has not been thoroughly tested for its ability to diagnose adrenal lesions. This study utilizes dual energy CT to identify between the two most prevalent adrenal neoplasms, adrenal metastasis and adrenal adenomas.Objective:To evaluate the efficacy of non-enhanced single-source dualenergy computed tomography (ssDECT) in differentiating metastases from adenomas in adrenal glands Materials and methods :This is a retrospective study conducted in the department of radio diagnosis of Mysore medical college and research institute after receiving the approval from our institutional ethical committee.A total of fifty six patients (32 men,24 women) with 31 adrenal metastases (AMs) and 32 adrenal adenomas (AAs) underwent a plain dual-energy CT imaging from March 2021 to October 2022 were included. The CT number from the virtual monochromatic spectral (VMS) image sets were measured for the AMs and AAs. The difference of CT numbers between AMs and AAs was statistically compared by P value and the box plot curve. Results: The CT number (medium, range) of metastases (50.47, 29.93 HU at 40 keV and 29.00, 9.36 HU at 140 keV) was significantly higher than that of adenomas (0.76, 33.04 to 13.73, 18.96 HU) at each energy level from 40 to 140 keV (P <.05).Conclusion: Using CT numbers obtained from virtual monochromatic images of single source dual energy CT can be used to differentiate adenomas from adrenal metastasis. The Median CT number of metastases was higher than that of adenomas at 40 Kev and 140 Kev. The median CT number of metastases decreased with increase in incident photon energy in Kev and median CT number of adenomas increased with increase in incident photon energy in Kev

    Survey on impact of traditional handlooms schemes: A case study at Madhya Pradesh, India

    No full text
    India is a developing country with majority of its masses living in rural areas. Agriculture is the main source of employment providing work to 70 percent of the rural population. Next to agriculture handloom industry plays a dominant role in the economic development of the rural mass. Handlooms are scattered in the rural and semi-urban areas. The handloom industry is an important sector in providing large-scale employment and result in the upliftment of the rural mass development. Handloom is perhaps one of the oldest industries. Even the tribal people scattered throughout the country, produce their own cloths with the elegant designs, unique color combinations and lasting texture. This study indicates a review of literature relating to the handloom industry at Madhya Pradesh. Since in recent years the industry fell into deep crisis, few conference papers, research articles journals and some standard hypothetical management and maintenance thesis are published current problems of the industry and also the researcher tries to know the problems of the industry in brief through several studies done by Indian Universities with great support of primary data as well as secondary data

    Network pharmacology based pharmacokinetic assessment and evaluation of the therapeutic potential of catechin derivatives as a potential myostatin inhibitor: A special view on Sarcopenic Obesity

    No full text
    Sarcopenic obesity has become a significant age-related metabolic problem. Catechins are flavanol, derivatives which poses a strong antioxidant activity. The major components of catechin derivatives. were identified through our physicochemical and pharmacokinetic parameters estimation. Therefore, in this study, network pharmacology was used to explore the multiple targets related to Sarcopenia, Metabolic syndrome, and obesity. The targets were identified from network analysis. The catechin derivatives were screened using Lipinski’s rule of five, Veber scale, Egan scale, and Muegge scale. From this drugglikness property catechin and Epicatechin was selected which were docked towards the myostatin inhibition PDB ID: 3HH2. Furthermore, the computational docking method on Catechin and Epicatechin with the stronger interaction towards myostatin inhibition receptor with the binding energy of −6.90 kcal/mol. and −7.0 kcal/mol from autodock software, respectively, for catechin and Epicatechin. Higher binding energy confirms the pharmacotherapeutic activity of Catechin and Epicatechin toward the myostatin inhibitor target.</p

    Physicochemical investigation and molecular docking analysis of Maha yogaraj Guggulu tablet and virtual screening of its major bioactive compound

    No full text
    Guggulsterone plays a significant role in cholesterol-lowering by inhibiting Farnesoid X Receptor. The present study aims to identify the isomers of Guggulsterone with high binding affinity and good binding interaction with targeted protein and positive control atorvastatin. The pharmacokinetic parameters of Guggulsterone isomers were estimated from P.K.C.S.M. online server, and molecular docking analysis was performed from Autodock V.® 4.2.6 Program. From the computer-aided drug designing, we have confirmed that guggulsterone isomers are inhibitors of the CYP3A4 enzyme and hepatotoxic. Guggulsterone isomer showed a stronger binding affinity when compared with atorvastatin. The docking score for Guggulsterone was −9.28 kcal/mol, E-Guggulsterone −9.56 kcal/mol, Z-Guggulsterone −9.79 kcal/mol, M-Guggulsterone −9.45 kcal/mol, and positive control atorvastatin −8.26 kcal/mol. The present study revealed that the isomers of Guggulsterone have high binding affinity and good binding interaction with targeted proteins.</p

    Contingency Analysis of a Grid Connected EV's for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme

    No full text
    After over a century of internal combustion engines ruling the transport sector, electric vehicles appear to be on the verge of gaining traction due to a slew of advantages, including lower operating costs and lower CO2 emissions. By using the Vehicle-to-Grid (or Grid-to-Vehicle if Electric vehicles (EVs) are utilized as load) approach, EVs can operate as both a load and a source. Primary frequency regulation and congestion management are two essential characteristics of this technology that are added to an industrial microgrid. Industrial Microgrids are made up of different energy sources such as wind farms and PV farms, storage systems, and loads. EVs have gained a lot of interest as a technique for frequency management because of their ability to regulate quickly. Grid reliability depends on this quick reaction. Different contingency, state of charge of the electric vehicles, and a varying number of EVs in an EV fleet are considered in this work, and a proposed control scheme for frequency management is presented. This control scheme enables bidirectional power flow, allowing for primary frequency regulation during the various scenarios that an industrial microgrid may encounter over the course of a 24-h period. The presented controller will provide dependable frequency regulation support to the industrial microgrid during contingencies, as will be demonstrated by simulation results, achieving a more reliable system. However, simulation results will show that by increasing a number of the EVs in a fleet for the Vehicle-to-Grid approach, an industrial microgrid’s frequency can be enhanced even further
    corecore