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.

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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.

This cross sectional study was carried out on 101 cases of vesico-vaginal fistula who were admitted and operated in Kumudini Women's Medical College Hospital. The aim of the study was to find out the outcome of vesicovaginal fistula repair. A detailed interview was taken from the patients and attendants by using a questionnaire. Necessary information were collected from the patient's record sheets . Small, medium and large sized fistulae were 59.41%, 26.73% and 11.88% respectively. The result of the study showed that success of fistula repair was 73.27%, though seven cases developed stress incontinence. Totally 27 patients were unsuccessfully repaired. Of which 19 (70.37%) were dropped out, 5(18.52%) were referred and 3(11.11%) had operative failure. Post-operative recovery was mostly (87.13%) uneventful. Urethral leakage (6.93%), blocked catheter ( 2.97%) and UTI (2.97%) were the leading complications. To improve the outcome, more training and skill of surgeons, improvised per-operative and post-operative care is necessary. Approaches should be designed to make the incidence of drop out to zero. DOI: http://dx.doi.org/10.3329/bmj.v40i3.18652 Bangladesh Medical Journal 2011 Vol.40(3):18-20

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Background: Pelvic Inflammatory disease is presented with different clinical presentation among the sexually active women. Objectives: The purpose of the present study was to see the clinical profiles of women presented with pelvic inflammatory diseases. Methodology: This cross-sectional study was carried out in the 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. Epidemiological aspects and clinical presentation have been mainly highlighted in this study. 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 followed by 16 to 25 years which was 33.3% cases. Majority 96.0% patients had pain in the lower abdomen; 78.6% cases had backache; 76.6% cases had dyspareunia; 64.0% had congestive dysmenorrhea and 60.0% cases had vaginal discharge. Regarding menstrual problems, 72.7% cases had dysmenorrhea. Majority (84.0%) cases were multipara. Conclusion: In conclusion lower abdominal pain, backache, dyspareunia, congestive dysmenorrhea are the major complaints among the PID patients.

The novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2), has evolved rapidly as a global pandemic stretching the healthcare systems worldwide to their limits. This pandemic has resulted in significant changes to surgical practice across the world. Surgeons need to react immediately to this unexpected clinical challenge in a customized and dynamic approach to the selection, screening, planning, and conduct of surgery for their patients. This current literature will review various international society guidelines to provide a set of recommendations to safely accommodate the exponentially rising cases of SARSCoV- 2 infected patients without compromising the care of emergency surgery and oncological patients or jeopardizing the well-being of hospital staff. The recommendations include guidance for selection and screening of patients during different phases of COVID-19 spread throughout the country. Personal protective equipment requirements for safety measures are also reviewed for each phase as minimum requirements. We also provide recommendations on the patient prioritization for surgery, selection of surgical techniques to reduce transmission and exposure risk, operating room set up and conduct of general surgery. During the COVID-19 pandemic, every surgical unit needs to follow clear guidelines to ensure both patient and staff safety. These current guidelines may assist to provide guidance to units in developing their own protocols. J Bangladesh Coll Phys Surg 2020; 38(0): 116-121

Introduction: Non-descent vaginal hysterectomy has been considered a valid alternative to the abdominal approach and is also preferred for benign uterine diseases without descent of uterus because it is associated with fewer complications. Vaginal vault is the enlargement of the internal end of the vagina which is usually closed during vaginal hysterectomy. This study was done to see the outcome of vault closure versus non-closure in non-descent vaginal hysterectomy in non-prolapsed uterus. Methods: This prospective study was done in Obstetrics and Gynae Department, Sir Salimullah Medical College and Mitford Hospital during the period of July 2011 to December 2011. A total number of 50 patients with benign gynecological disorders without descent of uterus who admitted for hysterectomy were enrolled in this study. Among them, 25 patients had the vault close (group I) whereas 25 patients had an open vault(group11). Indication for hysterectomy, complications, blood transfusion, hospital stay (day) and histopathological findings were assessed for both groups. Statistical analyses of the results were obtained by using window based computer software devised with Statistical Packages for Social Sciences (SPSS-20). Results: Majority of the patients was found in the age group of 41-45 years in both groups, which was 12(48.0%) in Group I and 18(72.0%) patients in Group II. Blood transfusion was needed in 5(20.0%) and in 6(24.0%) in Group I and Group II respectively. Post operative complications after 15 days of follow-up, pelvic abscess was found 4.0% in Group I & not found in Group II. UTI was not found in Group I but 4.0% found in Group II. Conclusion: Outcomes were almost similar in both procedure. Ultimately the study did not show any significant difference between either group. J Shaheed Suhrawardy Med Coll, December 2020, Vol.12(1); 45-49