Current drug discovery technologies最新文献

Background: Panax ginseng (PG) is a plant that contains ginsenosides, which are considered adaptogens that confer cellular protection. However, the impact of PG on pituitary-ovarian dysfunction and subsequent infertility is unknown. This study investigated the hypothesis that PG would attenuate pituitary-ovarian dysfunction associated with mobile phone's Radiofrequency Electromagnetic Radiation (RF-EMR) in experimental rat models and the possible involvement of a cAMP Response Element Modulator (CREM)-dependent pathway.

Methods: Twenty adult female Wistar rats were divided randomly into four groups, each consisting of five rats. The control group was administered a vehicle (distilled water) orally, while the P. ginseng group received 200 mg/kg of P. ginseng extract orally. The RF-EMR group was exposed to 900MHz radiation, and the RF-EMR + PG group was exposed to the same radiation while also being treated with 200 mg/kg of P. ginseng orally. These treatments were administered daily for a period of 56 days.

Results: The RF-EMR group exhibited significant reductions in serum levels of LH, FSH, estradiol, and progesterone compared to the control group. Moreover, levels of superoxide dismutase (SOD) and glutathione peroxidase (GPx) were significantly lower in the RF-EMR group compared to the control. Additionally, there was a notable decrease in the expression of the CREM gene, accompanied by disrupted pituitary/ovarian morphology in the RF-EMR group compared to the control. However, the administration of PG mitigated these changes.

Conclusion: The findings of this study indicate that P. ginseng extract shields against pituitary-ovarian impairment linked to RF-EMR exposure from cell phones by boosting antioxidant capacity and promoting the CREM-dependent pathway.

Insects are the most numerous and diverse collection of organisms on earth. Around the world, human societies have utilised insects and the materials derived from them as medical resources. These arthropods use chemistry, like all other species. According to their survival needs, they make adaptations, including protecting themselves from infection as well as predation, being able to connect with a social life, and carrying out generations with survivability in the environment. The main focus of the study of chemical ecology is the abundance of chemical compounds found in arthropods that are used for these ecological adaptations. This thorough analysis summarises the huge potential for finding new natural compounds with medical benefits from the Arthropods. Insects and their derivatives have a wide range of uses, and their "raw products" have made significant strides in a wide range of industries, including pharmaceuticals, tissue engineering, dentistry, plant and agricultural science, veterinary medicine, cosmetics, and cosmeceuticals, food, and nutraceuticals, among others. Bioactive components derived from insects are emerging as potential therapeutic sources that are beneficial against a variety of disorders. Insects, which have a huge variety of species, are an intriguing and potential source of low molecular biologically active natural compounds that are either produced by the insect itself or by accompanying microbes. The present review work collated the updates of insect-derived compounds, the use of insects worldwide, and drug discovery potential of insect derivatives.

Coming to the edge of disease manufacturing in the twenty-first-century, breast cancer occupies a terrifying scenario in the globe, especially in adult women. Its curiosity endeavours remarkable advances made during the past decennaries for cancer treatment and diagnosis.

In vivo investigations are much more complex than trials conducted in a test tube; the results sometimes aren't as illuminating and could raise more questions than answers. Preclinical data projection into clinical truth is a transcriptional science that remains a compelling trial in drug development. Preclinical in vivo and in vitro education is important in novel drug's non-violent or active growth. Pharmacokinetic and metabolic research is necessary to better understand the chemical and biological effects of medicines and their metabolites. Information produced by such a policy can be used to progress Phase I studies, primarily for anticancer medication. Both living and deceased in vitro models are theoretically excellent preclinical tools for calculating the pharmacological action of counterparts from the same family, such as vinca alkaloids. The animal species most closely linked to humans are chosen based on metabolic patterns. The estimation of the duration of drug action, particularly for medicines with varied metabolic clearances (e.g., benzodiazepines); The empathetic or estimate of medicine relations, i.e., those defined for cyclosporin A and macrolide antibiotics; and Sclarification of the metabolic roots of individual inconsistencies in pharmaceutical action.

Introduction: Human Immunodeficiency Virus (HIV) is a retrovirus with single-stranded RNA that leads to the challenging disease of acquired immunodeficiency syndrome (AIDS). Combination antiretroviral therapy (cART) can prevent the progression of the disease, but it is not capable of long-term HIV elimination. One of the significant obstacles to treating HIV-1-infected individuals is the creation of latent cell reservoirs early in the infection. Gene-based therapies that utilize RNA interference (RNAi) to silence host or viral gene expression are considered promising therapeutic approaches. It has been demonstrated that RUNX1, a T-cell-specific transcription factor, may significantly affect HIV replication and infection. According to accumulating evidence on the role of interfering RNA techniques in inhibiting gene expression and considering the role of RUNX1 in the replication of HIV-1. In this study, we aim to design shRNAs against RUNX1 that can target the replication of HIV-1.

Background: The significant public health effect of breast cancer is demonstrated by its high global prevalence and the potential for severe health consequences. The suppression of the proliferative effects facilitated by the estrogen receptor alpha (ERα) in the MCF-7 cell line is significant for breast cancer therapy.

Objective: The current work involves in-silico techniques for identifying potential inhibitors of ERα.

Methods: The method combines QSAR models based on machine learning with molecular docking to identify potential binders for the ERα. Further, molecular dynamics simulation studied the stability of the complexes, and ADMET analysis validated the compound's properties.

Result: Two compounds (162412 and 443440) showed significant binding affinities with ERα, with binding energies comparable to the established binder RL4. The ADMET qualities showed advantageous characteristics resembling pharmaceutical drugs. The stable binding of these ligands in the active region of ERα during dynamic conditions was confirmed by molecular dynamics simulations. RMSD plots and conformational stability supported the ligands' persistent occupancy in the protein's binding site. After simulation, two hydrogen bonds were found within the protein-ligand complexes of 162412 and 443440, with binding free energy values of -27.32 kcal/mol and -25.00 kcal/mol.

Conclusion: The study suggests that compounds 162412 and 443440 could be useful for developing innovative anti-ERα medicines. However, more research is needed to prove the compounds' breast cancer treatment efficacy. This will help develop new treatments for ERα-associated breast cancer.

A persistent long-standing, inflammatory skin condition that is brought on by a variety of factors is psoriasis. It is distinguished by itchy, scaly, reddish plaques, particularly on areas of the body that are frequently chafed, including the extensor sites of the limbs. Recent developments in molecular-targeted therapy that use biologics or small-molecule inhibitors can effectively cure even the worst psoriatic indications. The outstanding clinical outcomes of treatment help to clarify the disease's detrimental consequences on quality of life. Biomarkers that identify deep remission are essential for developing uniform treatment plans. Blood protein markers such as AMPs that are consistently quantifiable can be very helpful in routine clinical practice. The metabolic pathways involve biomarkers that can not only help diagnose psoriasis in a clinical setting but also indicate its severity based on the levels present in the body. Machine learning and AI have made a diagnosis of the expression of genes as biomarkers more accessible. In this article, biomarkers, as well as their key role in psoriasis, are discussed.

Background: A defence mechanism of the body includes inflammation. It is a process through which the immune system identifies, rejects, and starts to repair foreign and damaging stimuli. In the world, chronic inflammatory disorders are the leading cause of death.

Material and methods: To obtain optimized pharmacophore, previously reported febuxostat- based anti-inflammatory amide derivatives series were subjected to pharmacophore hypothesis, ligand-based virtual screening, and 3D-QSAR studies in the present work using Schrodinger suite 2022-4. QuikProp module of Schrodinger was used for ADMET prediction, and HTVS, SP, and XP protocols of GLIDE modules were used for molecular docking on target protein (PDB ID:3LN1).

Result: Utilising 29 compounds, a five-point model of common pharmacophore hypotheses was created, having pIC50 ranging between 5.34 and 4.871. The top pharmacophore hypothesis AHHRR_ 1 model consists of one hydrogen bond acceptor, two hydrophobic groups and two ring substitution features. The hypothesis model AHHRR_1 underwent ligand-based virtual screening using the molecules from Asinex. Additionally, a 3D-QSAR study based on individual atoms was performed to assess their contributions to model development. The top QSAR model was chosen based on the values of R2 (0.9531) and Q2 (0.9424). Finally, four potential hits were obtained by molecular docking based on virtual screening.

Conclusion: The virtual screen compounds have shown similar docking interaction with amino acid residues as shown by standard diclofenac sodium drugs. Therefore, the findings in the present study can be explored in the development of potent anti-inflammatory agents.

Background: Type 1 diabetes mellitus (T1DM) is a condition marked by elevated blood sugar levels and primarily recognized by the destruction of beta cells caused by an autoimmune attack, which is a significant characteristic of T1DM. Recent studies have demonstrated the regenerative potential of conditioned medium therapy. In light of this, the current research sought to assess the impact of Mesenchymal Stem Cell conditioned media (CM) and CM with resveratrol (CM+ Resveratrol) on the management of T1DM in Swiss albino mice. By leveraging and modifying existing conditioned medium therapy, this study aims to evaluate its effectiveness in treating T1DM.

Materials & methods: Diabetes was induced in animals using the diabetes-inducing agent streptozotocin (STZ). The animals were then divided into five groups: Normal control, Disease Control, Resveratrol, Condition Media, and CM + Resveratrol. Treatments were given to the animals accordingly. The study period was 28 days. During this time, the animals were monitored for foodwater intake twice a week, blood glucose levels, and body weight. At the conclusion of the 28-day study period, biochemical estimations were performed for serum insulin levels, C-peptide levels, anti-inflammatory cytokines levels and pro-inflammatory cytokines levels. Additionally, histopathology of the pancreas was performed.

Results: The test groups showed a significant decrease in blood glucose levels, an increase in Cpeptide levels, and a decrease in pro-inflammatory cytokine levels compared to the disease group. However, no statistically significant change within groups was observed in terms of serum insulin and anti-inflammatory cytokine levels. The improvement in diabetic symptoms, such as polyphagia, polydipsia, and weight loss, was observed in the treatment group, along with pancreatic regeneration, which indicated improved insulin secretion.

Conclusion: In the current investigation, we concluded that CM and CM+ Resveratrol, as natural immunomodulators, have the capacity to regenerate injured pancreatic beta cells and have antidiabetic action, together with immunomodulating impact. Nonetheless, future studies on this therapy appear to be promising.

Background: Colorectal cancer (CRC) is a major contributor to cancer-related deaths worldwide, driving the need for effective anticancer therapies with fewer side effects. The exploration of Ginkgo biloba, a natural source, offers a hopeful avenue for novel treatments targeting key colorectal biomarkers involved in CRC treatment.

Objective: The aim of this study was to explore the binding affinity of natural molecules derived from G. biloba to essential biomarkers associated with CRC, including Kirsten rat sarcoma virus, neuroblastoma RAS mutations, serine/threonine-protein kinase B-Raf, phosphatidylinositol 3'-kinase, and deleted colorectal cancer, using molecular docking. The focus of this research was to evaluate how effectively these molecules bind to specified targets in order to identify potential inhibitors for the treatment of CRC.

Methods: A total of 152 polyphenolic compounds from G. biloba were selected and subjected to molecular docking simulations to evaluate their interactions with CRC-related biomarkers. The docking results were analysed to identify ligands exhibiting strong affinities towards the targeted genes, suggesting potential inhibitory effects.

Results: Docking simulations unveiled the strong binding affinities between selected polyphenolic compounds derived from G. biloba and genes associated with CRC. The complex glycoside structures that are found in flavonols are of significant importance. These compounds, including derivatives with distinctive arrangements, exhibited promising docking scores, signifying substantial interactions with the targeted biomarkers.

Conclusion: The study demonstrates the potential of G. biloba-derived molecules as effective anticancer agents for colorectal cancer. The identified ligands exhibit strong interactions with crucial CRC-related biomarkers, suggesting potential inhibition ability. Further in vitro and in vivo investigations are needed to validate and build upon these promising findings, advancing the development of novel and efficient CRC therapies.