Inflammation is a natural protective mechanism that occurs when the body's tissue homeostatic mechanisms are disrupted by biotic, physical, or chemical agents. The immune response generates ...pro-inflammatory mediators, but excessive output, such as chronic inflammation, contributes to many persistent diseases. Some phenolic compounds work in tandem with nonsteroidal anti-inflammatory drugs (NSAIDs) to inhibit pro-inflammatory mediators' activity or gene expression, including cyclooxygenase (COX). Various phenolic compounds can also act on transcription factors, such as nuclear factor-κB (NF-κB) or nuclear factor-erythroid factor 2-related factor 2 (Nrf-2), to up-or downregulate elements within the antioxidant response pathways. Phenolic compounds can inhibit enzymes associated with the development of human diseases and have been used to treat various common human ailments, including hypertension, metabolic problems, incendiary infections, and neurodegenerative diseases. The inhibition of the angiotensin-converting enzyme (ACE) by phenolic compounds has been used to treat hypertension. The inhibition of carbohydrate hydrolyzing enzyme represents a type 2 diabetes mellitus therapy, and cholinesterase inhibition has been applied to treat Alzheimer's disease (AD). Phenolic compounds have also demonstrated anti-inflammatory properties to treat skin diseases, rheumatoid arthritis, and inflammatory bowel disease. Plant extracts and phenolic compounds exert protective effects against oxidative stress and inflammation caused by airborne particulate matter, in addition to a range of anti-inflammatory, anticancer, anti-aging, antibacterial, and antiviral activities. Dietary polyphenols have been used to prevent and treat allergy-related diseases. The chemical and biological contributions of phenolic compounds to cardiovascular disease have also been described. This review summarizes the recent progress delineating the multifunctional roles of phenolic compounds, including their anti-inflammatory properties and the molecular pathways through which they exert anti-inflammatory effects on metabolic disorders. This study also discusses current issues and potential prospects for the therapeutic application of phenolic compounds to various human diseases.
Lung diseases including chronic obstructive pulmonary disease (COPD), infections like influenza, acute respiratory distress syndrome (ARDS), asthma and pneumonia lung cancer (LC) are common causes of ...sickness and death worldwide due to their remoteness, cold and harsh climatic conditions, and inaccessible health care facilities.
Many drugs have already been proposed for the treatment of lung diseases. Few of them are in clinical trials and have the potential to cure infectious diseases. Plant extracts or herbal products have been extensively used as Traditional Chinese Medicine (TCM) and Indian Ayurveda. Moreover, it has been involved in the inhibition of certain genes/protiens effects to promote regulation of signaling pathways. Natural remedies have been scientifically proven with remarkable bioactivities and are considered a cheap and safe source for lung disease.
This comprehensive review highlighted the literature about traditional plants and their metabolites with their applications for the treatment of lung diseases through experimental models in humans. Natural drugs information and mode of mechanism have been studied through the literature retrieved by Google Scholar, ScienceDirect, SciFinder, Scopus and Medline PubMed resources against lung diseases.
In vitro, in vivo and computational studies have been explained for natural metabolites derived from plants (like flavonoids, alkaloids, and terpenoids) against different types of lung diseases. Probiotics have also been biologically active therapeutics against cancer, anti-inflammation, antiplatelet, antiviral, and antioxidants associated with lung diseases.
The results of the mentioned natural metabolites repurposed for different lung diseases especially for SARS-CoV-2 should be evaluated more by advance computational applications, experimental models in the biological system, also need to be validated by clinical trials so that we may be able to retrieve potential drugs for most challenging lung diseases especially SARS-CoV-2.
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Research on the immune system and cancer has led to the development of new medicines that enable the former to attack cancer cells. Drugs that specifically target and destroy cancer cells are on the ...horizon; there are also drugs that use specific signals to stop cancer cells multiplying. Machine learning algorithms can significantly support and increase the rate of research on complicated diseases to help find new remedies. One area of medical study that could greatly benefit from machine learning algorithms is the exploration of cancer genomes and the discovery of the best treatment protocols for different subtypes of the disease. However, developing a new drug is time-consuming, complicated, dangerous, and costly. Traditional drug production can take up to 15 years, costing over USD 1 billion. Therefore, computer-aided drug design (CADD) has emerged as a powerful and promising technology to develop quicker, cheaper, and more efficient designs. Many new technologies and methods have been introduced to enhance drug development productivity and analytical methodologies, and they have become a crucial part of many drug discovery programs; many scanning programs, for example, use ligand screening and structural virtual screening techniques from hit detection to optimization. In this review, we examined various types of computational methods focusing on anticancer drugs. Machine-based learning in basic and translational cancer research that could reach new levels of personalized medicine marked by speedy and advanced data analysis is still beyond reach. Ending cancer as we know it means ensuring that every patient has access to safe and effective therapies. Recent developments in computational drug discovery technologies have had a large and remarkable impact on the design of anticancer drugs and have also yielded useful insights into the field of cancer therapy. With an emphasis on anticancer medications, we covered the various components of computer-aided drug development in this paper. Transcriptomics, toxicogenomics, functional genomics, and biological networks are only a few examples of the bioinformatics techniques used to forecast anticancer medications and treatment combinations based on multi-omics data. We believe that a general review of the databases that are now available and the computational techniques used today will be beneficial for the creation of new cancer treatment approaches.
Objectives: In Bangladesh, Drug distribution process is very important cause of our increasing economic and development. In the recent days Model pharmacy has become an important theme of study for ...the student in pharmacy. In Bangladesh the introduction of the model pharmacy practice likes other skilled and semi-skilled health professionals will certainly improve primary health care system. The aim of the study was to develop a strategy to improve the overall services of model pharmacy in Bangladesh.
Methodology: A total of 20 model pharmacies were the study subject. The study cover the model pharmacy located in Dhaka city, where each pharmacy was accounted through a questioner on random basis. The form includes their facilities, management system, drug distribution process and counseling system.
Results: Study showed that, out of 20 Pharmacists, 95% of them used Software tools for their drug dispensing system. There was a helpline system for individual, online order within a short time of delivery system, discount system and membership card. The most important significant factors are counseling by “A grade” pharmacists, patient database system, affordable price and quality of medicine.
Conclusions: If we improve those model pharmacies and if the aim is successful, then it will be spread across Bangladesh and model pharmacy will be established gradually with digitalization.
Keyword: Model pharmacy, Bangladesh, Dhaka city, Pharmacist, Drug distribution process
Background: Pelvic Inflammatory disease is a very common gynaecological condition among the women.
Objectives: The purpose of the present study was to see the socio-demographic characteristics of ...pelvic inflammatory diseases patients.
Methodology: This cross-sectional study was carried out in the Department of Obstetrics and Gynaecology at Dhaka Medical College Hospital, Dhaka, Bangladesh from November 2001 to April 2002 during the period of six (06) months and December 2002 to February 2003 for three (03) months with the total duration of nine (09) months. Women at any age who were suffering from chronic pelvic inflammatory disease (PID) attended at the OPD of gynecology Department at Dhaka Medical College Hospital, Dhaka, Bangladesh were selected as study population. Detailed history of each patient was taken and thorough physical examination was performed.
Result: A total number of 150 cases were recruited for this study. Among 150 case of chronic pelvic inflammatory disease (PID) majority of the patients (54%) belonged to the age group of 26 to 35 years of age group. Majority of the patients were married (90.7%). Among 150 cases 80.0% patients were house wife. Regarding husbands’ occupation, 13.3% cases were businessman. Illiterate was in 44.7% cases. Among all patients 48.0% cases were found to be from lower socioeconomic status. Majority of the patients were from urban area (78.7% cases).
Conclusion: In conclusion young reproductive age married illiterate women with low socio0-economic condition are the mostly suffering from pelvic inflammatory diseases
Bangladesh Journal of Infectious Diseases, December 2018; 5(2): 41-44
There have been numerous studies about the health implication of COVID-19 on patients, but little attention has been paid to the impacts of the pandemic on physicians. Our paper attends to this gap ...by exploring the mental health of physicians in Bangladesh during the COVID-19 pandemic. This is particularly important since the mental health of physicians impacts not only on themselves, but also their professional performance and hence the care of patients. This study examined physicians' mental health outcomes by evaluating the prevalence and associated potential risk factors of anxiety and depression. Using a web-based cross-sectional survey, we collected data from 114 physicians. Seven-item Generalized Anxiety Disorder (GAD-7) scale and Nine-item Patient Health Questionnaire (PHQ-9) were used to measure the anxiety and depression, respectively. Multivariate logistic regression models were used to explore the potential risk factors related to anxiety and depression. The prevalence of anxiety and depression were 32.5 and 34.2%, respectively. Findings revealed that marital status, work per day and current job location were the main risk factors for anxiety while sex, age, and marital status were the main risk factors for depression. Our results highlight the need to implement policies and strategies for positively impacting the mental health of physicians during and after the COVID-19 pandemic.
A nationwide survey of 125,000 public rural waterpoints installed between 2007 and 2012 reveals major changes from the pre-arsenic era and expectations of the 2004 Arsenic Policy. Shallow tubewell ...(STW) use has greatly reduced and deep tubewells (DTWs) now dominate in arsenic-affected areas. Arsenic contamination is greatly reduced from baseline; 3.6% of DTWs, 7.6% of STWs and 5.5% of ringwells (RWs) exceed 50 μg/L. In some sub-districts contamination is worse than previously recognised. Faecal contamination affects 48% of devices, and is most severe in RWs and surface water devices (SWDs). Manganese exceeds 0.4 mg/L in 12% of DTWs, 51% of STWs and 40% of RWs. Iron exceeds 1 mg/L in 48% of devices. Sustained operation ranges from 91% in DTWs, 84% in STWs, 68% in RWs to 47–94% in SWDs. Falling water levels in shallow and deep aquifers require replacement of suction pumps. Addressing aesthetic, water quality and level issues will require major investment in piped water systems with Fe/Mn removal and chlorination. Technologies differ in household coverage (DTW > STW > RW) and use for drinking (DTW > RW > STW). With a modest increase in investment in relatively safe, popular and cost-effective DTWs and better targeting, arsenic poisoning could be virtually eliminated in 5–10 years.
Background: Neonatal hyperbilirubinemia is a condition when a newborn has an excessive amount of bilirubin in the blood and is one of the most prevalent problems in neonates. Many studies reported ...that copper and magnesium play an important role in the pathogenesis and development of neonatal hyperbilirubinemia.
Objectives: The aim of this study is to find out the correlation between the level of magnesium and copper with hyperbilirubinemia.
Methodology: Serum bilirubin was assayed with colorimetric method by the use of diazotized sulfanilic acid reaction. A photometric automated method was used to determine the levels of magnesium and copper in the serum of neonates in both controls group (162) and cases group (220).
Results: In the present study a significantly higher levels of Mg was found in hyperbilirubinemia of newborn infants when compared with control groups (23.67 ±2.33 mg/L versus 19.74 ±2.18 mg/L respectively and p value <0.001 which was significant) and correlation between hyperbilirubinemia and magnesium also significant (p value <0.001). Copper levels was significantly higher in hyperbilirubinemia of newborn infants (0.74 ±0.08 mg/L) compared with control groups (0.41 ±0.12 mg/L), where p value was <0.001, which was significant and correlation between hyperbilirubinemia and copper also significant (p value <0.001).
Conclusion: It can be concluded that current study showed the concentrations of magnesium and copper levels were found to be significantly greater than control groups and may have a correlation with neonatal jaundice.
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