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71%) (P=0.01). Frequency of TAP2*A allele in the control group was 120(60%) (p=0.06) due to the dominant genetic model this allele has a protective effect against SLE. There was no relationship between TAP2*D, TAP2*E, TAP2*F and TAP2*G alleles with outbreak of SLE.

Our data indicated that genetic variants in TAP2 gene may be associated with SLE disease. A correlation between Ala allele at TAP2/665 and Ile allele at TAP2/379 polymorphisms and pathogenesis of SLE was observed.
Our data indicated that genetic variants in TAP2 gene may be associated with SLE disease. A correlation between Ala allele at TAP2/665 and Ile allele at TAP2/379 polymorphisms and pathogenesis of SLE was observed.
A graph is supposed to be regular if all vertices have equal degree, otherwise irregular.

Polycyclic aromatic hydrocarbons are important combusting material and considered as class of carcinogens. These polycyclic aromatic hydrocarbons play an important role in graphitisation of medical science. A topological index is a function that assigns a numerical value to a (molecular) graph which predicts various physical, chemical, biological, thermodynamical and structural properties of (molecular) graphs. An irregular index is a topological index that measures the irregularity of atoms with respect to their bonding for the chemical compounds which are involved in the under studying graphs.

In this paper, we will compute an analysis of distance based irregular indices of polycyclic aromatic hydrocarbons. A comparison among the obtained indices with the help of their numerical values and the 3D presentations is also included. The efficient and steady indices of polycyclic aromatic hydrocarbons are addressed in the form of their irregularities.

Connection based study of the molecular graphs is more suitable than the degree based irregularity indices.
Connection based study of the molecular graphs is more suitable than the degree based irregularity indices.Relaxin (recombinant human relaxin-2 hormone; RLX-2; serelaxin) had raised expectations as a new medication for fibrotic diseases. A plethora of in vitro and in vivo studies have offered convincing demonstrations that relaxin promotes remodelling of connective tissue extracellular matrix mediated by inhibition of multiple fibrogenic pathways, especially the downstream signalling of transforming growth factor (TGF)-β1, a major pro-fibrotic cytokine, and the recruitment and activation of myofibroblast, the main fibrosis-generating cells. However, all clinical trials with relaxin in patients with fibrotic diseases gave inconclusive results. In this review, we have summarized the molecular mechanisms of fibrosis, highlighting those which can be effectively targeted by relaxin. Then, we have performed a critical reappraisal of the clinical trials performed to-date with relaxin as anti-fibrotic drug, in order to highlight their key points of strength and weakness and to identify some future opportunities for the therapeutic use of relaxin, or its analogues, in fibrotic diseases and pathologic scarring which, in our opinion, deserve to be investigated.
By the end of 2019 the sudden outbreak of the novel coronavirus disease (COVID-19) has become a global threat. It is called COVID-19 because it was caused by the novel coronavirus (SARS-COV-2) in 2019. A total of 1.9 M deaths and 87.9 M cases have been reported all over the world where 49M cases have recovered so far. Scientists are working hard to find chemotherapeutics and vaccines for COVID-19. learn more Mutations in SARS-CoV-2 have been observed in a combination of several hazardous stresses, making them more resistant and beneficial. So to break down the viral system, the disease targets are examined.

In today's review, a comprehensive study of spike protein explains the main purpose of the novel coronavirus and how to prevent the spread of the disease virus, cross-transmission from infected to a healthy person.

Covid-19 has already been declared a pandemic by the World Health Organization (WHO) due to global death and wide illness. SARS-CoV-2 is highly contagious. However, the intermediate host of the novel a template for further SARS-CoV-2 drug formulation.
With the development of the LY6E gene activator that can inhibit spike protein-ACE2-mediated membrane fusion, new opportunities for SARS-CoV-2 treatment may emerge. Existing antiviral fusion inhibitors and natural compounds targeting spike resistance can serve as a template for further SARS-CoV-2 drug formulation.
The efficiency of herbal medicinal products depends on the quantity of active ingredients in them, which can differ considerably in contents. Hence, a very critical concern is the quality control of herbal medicines.

To provide a succinct review of recent chemometrics applications in solving the uncertainty of the authentication of herbal medicine over the last two decades.

Studies involving chemometrics applications in conjunction with various analytical methods have been categorized according to the type of research used in the quality evaluation of different samples, including chromatographic (HPLC, GC-MS) and spectroscopic analysis (UV-Vis, FTIR, NMR, and MS).

This review consists of over 90 studies illustrating the relevance of chemometrics methods in the discrimination based on the key bioactive components and phytochemical diversity of several herbs from closely related species. Besides, the distinction between varieties and hybrids was accomplished through quantitative analysis techniques, in addition to the prediction of the active components.

Methods of chemometrics have provided an important and potent tool for the quality control and authentication of various herbs.
Methods of chemometrics have provided an important and potent tool for the quality control and authentication of various herbs.
The objective of this study is to construct a prognostic model using genetic markers of liver cancer and explore the signature genes associated with the tumor immune microenviroment.

Cox proportional hazards regression analysis was carried out to screen the significant HR using dataset of TCGA Liver Cancer (LIHC) gene expression data, then LASSO (Least absolute shrinkage and selection operator) was performed to select the minimal variables with significant HR of genes. Thus, the prognostic model was constructed by the minimal variables with their HR and time-dependent receiver-operating characteristic (ROC) curve and area under the ROC curve (AUC) value used to assess the prognostic performance. Then dividing the patients into high and low risk groups by the median of the model, survival analysis was performed by two groups with testing and independent dataset. Furthermore, enrichment analysis of signature mRNAs and lncRNAs and their co-expression genes were performed, then, spearman rank correlation used to calculate the correlation between immune cells and genes in the prognostic model, and testing abundance difference of the immune cells in high and low risks groups.
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