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The ovarian serous Cystadenocarcinoma shared large number of deaths in gynecologic carcinoma. It has various numbers of molecular events from initiation to progression and at advance stage, surgery is the end product of such molecular signaling. We assess in this study the whole mechanistic view of TNFSF10 network which has the ideal apoptotic causing identity. We used fresh insilico strategy to uncover the secrets and inter-links from its protein-protein interaction complex. We retrieved the TNFSF10 signaling network from STRING database (www.string-db.org). The network contains 25 nodes and 152 edges with clustering presentation. After retrieval, we performed gene enrichment and characterization analysis of network from WebGestalt toolkit (www.webgestalt.com). Finally, we examined the participation of whole network in ovarian cancer progression from cBioPortal, a cancer genomic data portal (www.cbioportal.org). Our results showed that majority of cases have loss of function of death receptors (DR4 and DR5) that are the main unit of initiation of apoptotic signaling. Most of downstream signaling members showed amplification that regulates cell proliferative pathways including NFkB pathway. TNFSF10 cluster has loss of function and in future it gain attention for further research studies to discover its interactome level view for valuable therapy. FAS cluster has large number of members and majority showed amplification rendering them as co-targets for combinational drug designing.

For something that’s literally as old as the universe, dark matter doesn’t get much attention outside scientific circles. Maybe that’s because, other than a short-lived SyFy series and a late-period Randy Newman album, this nebulous star stuff has had a tough time breaking the pop-culture barrier. But the truth is that today, dark matter has never mattered more. Our own Milky Way is embedded in a massive cloud of it, we’re looking for its interactions deep inside the earth, and there are whole galaxies without it. So what is dark matter, anyway? Why can’t scientists get enough of the stuff, even though they can’t actually find it? What deep, dark secrets does it hold? And could it ultimately shape the future of life as we know it?

It’s a 24 years old female patient who presented with rhinological burning pain evolving since 1 year. She didn’t consult until a blistering lesion filled half of the oral cavity. The initial biopsy of the tumor was interpreted as a round cell tumor process.

Background: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare acquired hematologic condition which could be revealed by deep venous thrombosis. It could be fatal unless correctly treated. Case report: We report here the case of a 28 year-old male with no medical history who was admitted to the emergency room for severe abdominal pain. Computerized Tomography angiography (CT) scan revealed portal vein thrombosis. Laboratory findings showed pancytopenia with severe regenerative normocytic anemia resulting in PNH. Because of the lack of Eculizumab, treatment was first based on curative anticoagulation until bone marrow transplant, with no success. Conclusion: PNH remains a severe disease with bad prognosis unless treated with Eculizumab.

Although the classical surgical treatment methods of chronic venous insufficiency are successful to relieve perfectly the cause (reflux) and result (varicose veins), the new ablation techniques such as endogenous laser ablation therapy (EVLT), radiofrequency (RF) and foam ablation come into currency more and more with their advantage of being performed with only local anesthesia. However, these techniques, still have the potential for residual saphenofemoral reflux due to incomplete ablation of all side branches of the saphenofemoral junction. As an alternative technique ligation + foam sclerotherapy is not only comfortable like EVLT or RF but also safe and effective as much as classic stripping.

The main purpose of the present study was to find out the differences on suicidal ideation, hostility, hopelessness and negative self-evaluation among heroin addicts with comorbid depression. After reviewing the literature, it was hypothesized that heroin addicts with high depression may have high scores on variable of suicidal ideation, hostility, hopelessness, and negative self-evaluation as compared to those with low depression. The sample was consisted of 60 males from Low-socioeconomic status (SES) (34 of them were screened as having high scores on the variable of depression and 26 were screened as low scorers). Siddiqui Shah Depression Scale (Siddiqui & Shah, 1997) and Urdu version of Suicide Probability Scale (Cull & Gill, 1982) was administered. To compare heroin addicts with high and low depression on various variables, t - test was applied. The research findings showed that heroin addicts with mean age of 30 years (range 20 to 40) having the mean duration of heroin dependence of 10 years with high depression were significantly high on the variable of suicidal ideation, hostility and hopelessness ((p < .05) as compared to those with low depression. And there was no significant difference on the variable of negative self-evaluation for both groups (p > .05). So it was concluded that services for patients with Heroin addiction should include periodic screening for suicidal behavior along with psychiatric treatment and psychosocial support.

In order to better understand some neurologic degenerative process is fundamental to use also an evolutionary approach of vertebrates and especially in mammalians. Aim of this work is to verify if an objective measure of brain wasting system can help in this kind of disease. Imaging can help in measuring efficiency of brains wasting system in the various subject. The brain glymphatic systems is well studied today but an accurate measure of the real efficiency of the system is needed. It is relevant so to submit to researcher a working methods strategy to measure this parameter to verify if possible, to use the brain glymphatic system as new therapeutics pathway.

The measures put in place by many governments around the world to fight the spread of COVID-19 have drastically reduced visits to diabetes centres. To keep providing people with diabetes the professional support they need and reduce the inconvenience caused by the interruption of traditional assistance, the typical control visit can be carried out by virtual visit, telemedicine (TM) that should have the necessary characteristics to provide a correct execution. Especially this is important for pregnant women first diagnosed with gestational diabetes mellitus (GDM), they have the necessity to frequent checks in a short time due to the pregnancy.

Objectives: Type-2 diabetes mellitus, caused by impaired secretion of insulin, is becoming one of the health hazardous threats to human lives across the world. Its prevalence is rising with time. In this study, 2750 phytochemicals, that are considered to have great ability to eliminate diseases caused by different viruses and bacteria, are obtained from different medicinal plants and discovery of inhibitors through in silico method was performed against Dipeptidyl peptidase-4 (DPP4). Method: The pharmacological assessment and pharmacokinetics of phytochemicals, molecular docking and density functional theory (DFT) analysis helped to explore the inhibitory action of phytochemicals against DPP4. Total forty-nine phytochemicals were screened initially to reduce the number of compounds to be analyzed further based on a threshold of binding affinity ≥ -5.5 kcal/mol and were considered for further computational studies to analyze their inhibitory effects for DPP4. For comparison and validation of the results of present study, various previously reported and experimentally validated compounds were docked with the DPP4. For these dockings, binding affinity was predicted and compared with those of phytochemicals to check if these phytochemicals are competent enough to be used as an inhibitor in the treatment of diabetes mellitus in the future. Results: Only four phytochemicals showed binding affinity greater than those of experimentally validated compounds. These included two phytochemicals from Silybum marianum, i.e. Diprenyleriodictyol and Taxifolin and while other two phytochemicals from Santolina insularis and Erythrina Varigatae i.e. Papraline and Osajin respectively. The reactivity levels for these four phytochemicals with the binding site residues of DPP4 were obtained by DFT based analysis, in which ELUMO, EHOMO and band energy gap were computed. Conclusion: Based on these results, it is concluded that these four phytochemicals, after passing through in vitro and in vivo validation, can be utilized as potential DPP4 inhibitors as they have strong properties as compared to those of various experimentally validated inhibitors.

Background: In this study, we aimed to investigate the role of prognostic factors on breast cancer survival in Iran. Methods: This study was carried out using data from 500 participants with breast cancer. Data were gathered from medical records of patients referring to four breast cancer research centers in Esfahan, Iran, between 1990 – 2000. Age at diagnosis (year), size of tumor, Involve lymph nodes, tumor grade, and family history and married were the prognosis factors considered in this study. A Cox model was used. Results: The median follow-up period was 29.71 months with the interquartile range of 19-61 months. During the follow-up period, 57 (10%) patients died from breast. The Cox model showed that number of lymph nodes involved, and the tumor size and grade tumor are the prognostic factors survival in breast cancer. Conclusion: This study, confirmed the importance of early diagnosis of cancer before the involvement of lymph nodes and timely treatment could lead to longer life and increased quality of life for patients.