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While a large wealth of literature on aging pertains to in silico, experimental, and predicted genes, many of those genes do not have validated phenotypic consequences in human. Online Mendelian Inheritance in Man (OMIM) provides an exceptional compendium of authoritative, validated aging genes and phenotypes, the interactions among which may enhance the overall perspective of aging mechanisms in human.Here, we reviewed and investigated the global clustering pattern of the OMIM-indexed aging genes (until April 2021) in the gene co-expression and physical interaction networks, using the two keywords "aging" and "ageing". To allow for validity check, we randomly selected six sets of genes from the human genome as control genes, each set consisting of a similar number of genes obtained from the OMIM search. STRING was implemented in the weighted setting and using the edge betweenness parameter, to construct the integrated and tissue-specific networks of the age-related and control genes.286 aging (ageing) genes and a wide spectrum of 96 associated phenotypes were detected, including late-onset neurodegenerative disorders, cancers, osteoarthritis, and longevity. Despite the general terms used and the vast range of age-related phenotypes, we detected single clustering of the OMIM-extracted aging (ageing) genes in each of the integrated weighted co-expression and physical interaction networks (p0.0005), as opposed to multiple clustering of the control genes (p≥0.04). TP53 was the overlapping hub gene in each of the networks. Three genes, TP53, APP, and SIRT1 were the consistent hub genes co-expressed across eleven selected human tissues frequently affected by age-related phenotypes.We propose predominant single clustering of the human phenotype-associated aging genes in the co-expression and physical interaction networks, and list the top pathways and genes involved.

Background: Tramadol is a synthetics 4-phenyl-piperidine analogue of codeine used for treating moderate to severe pain. Tramadol is a FDA pregnancy category C medication which induces release of serotonin and inhibits the reuptake of norepinephrine. Chronic use of this drug during pregnancy may lead to physical dependency and withdrawal syndrome in the neonate.Case presentation: We report the newborn of a woman admitted in the delivery ward of Mostafa Khomeini Hospital in Tehran, Iran in 2011. The mother suffered from chronic low back pain and headache and frequently took tramadol during pregnancy. The infant had a gestational age of 38.5 w, a birth weight of 2950 gr and an Apgar score of 9/10 at 1 and 5 minutes after birth. The first signs of withdrawal syndrome occurred after 24 h with nausea, vomiting, poor feeding, and tremor. Later, agitation, tremor, hyprertonicity, and repeated multifocal myoclonus, and generalized tonic-clonic seizures developed. Clinical signs of withdrawal syndrome waned under phenobarbital therapy.Conclusion: Drug withdrawal syndrome should be considered in the neonates of pregnant mothers who chronically take tramadol. Tramadol administration during pregnancy should be restricted to carefully selected cases.

Non-Steroid-Anti-Inflammatory-Drugs (NSAIDs) are the main focal points of linkage between inflammation and cancer. These compounds affect the catalytic conversion of Arachidonic Acid to the main molecules of prostaglandin family. These exchanges are catalyzed by CycloOxygenase isozymes called COX I & II which are constitutive proteins in important organs like liver or kidney and inducible one in inflamed tissues or tumors, respectively. This study discusses on a new mechanistic approach through discovery of 4th generation of NSAIDs. Here utilizing combinations of online databases including DRUG BANK and PUBCHEM in conjunction with computational algorithms like Fast Flexible Docking as in FLEXX software followed by applying new filtering processes including extraction of structural descriptors by means of PASS software. Also, correlation between docking scores and bioactivities were analyzed by SPSS software. However, important molecular substructures were analyzed with Library MCS software for detailed constructional engineering of the compounds. All molecules and substructures were searched for their potential anti inflammatory activity in databases and searching engines such as ISI, GOOGLE and etc. Consequently, new drug candidates were appeared in novel resources in order to synthesize, buy or extract for future in vitro assays.

According to significant improvements in the tissue engineering field over the past several years, lung tissue cells have recently attracted more attention due to the high prevalence and diversity in related diseases. However, selection of an appropriate cell type, screening of suitable conditions for growth and proliferation, as well as subsequent implantation into the body to repair and regenerate damaged tissues are considered as important issues in this context. It should also be noted that most studies have been described in animal models, but not in humans. Because of the high regenerative capacity, predominant immunomodulatory feature, and inhibition of T-lymphocyte proliferation, mesenchymal stem cells (MSCs) may play an important role in the reconstruction of damaged tissues including bronchioles in pulmonary diseases. Interestingly, clinical trial studies demonstrated that MSCs have the significant potential to treat a wide variety of diseases including acute myocardial infarction (AMI), liver cirrhosis, crohn’s disease, and graft-versus-host disease (GVHD).