Endocrine-Metabolic Disorders (EMDs) can arise due to hormonal imbalances in the organism that lead to important
changes in glycemia, cholesterol and triglyceride levels. Metabolic disorders are a major cause of illness and death worldwide.
Metabolism is the process by which the body makes energy from proteins, carbohydrates, and fats; chemically breaking these
down in the digestive system towards sugars and acids which constitute the human body's fuel for immediate use, or for storage
in body tissues such as the liver, muscles, and body fat. Metabolic disorders in the population are increasing and dramatically
affecting human health. The main etiology of metabolic disorders is heredity; an estimated 303,000 newborns die within 4
weeks of birth every year worldwide due to congenital anomalies; and 2.68 million neonatal period deaths occurred in 2015
worldwide [1]; a major public health issue. Metabolic disorders may also develop when certain organs, such as the liver or pancreas,
become diseased or do not function normally; obesity, diabetes, and hyperthyroidism are common examples [2] whose
signs and symptoms include lethargy, excessive weight gain or loss, jaundice, and seizures among them [3].
Diabetes and obesity are two major diseases resulting from such hormonal imbalances. The search for new targets and effective
drugs against these diseases has become the object of study for many researchers [4]. Various areas involved in therapeutic
application of multi-target ligands have already been evaluated: including complex disorders, bacterial drug resistance,
and drug repositioning. Although in certain cases, such disorders can be approached through combined drug therapy, multitarget
ligands present clear advantages; including more predictable pharmacokinetics, better patient compliance, and reduced
risk of drug interactions. Then, what are potential applications for the use of multi target ligands in metabolic disorders? Metabolic
control analysis (or flux-balance analysis) uses a vast set of experimental data to evaluate all of the metabolic rates in the
metabolic network, (the calculations assume that the reaction rate producing a metabolite equals the reaction rate for its consumption),
and highlights key points in the metabolism where a metabolic pathology or even a parasite is present and can be
targeted.
Drs Singla & Dubey [5] explored the α-amylase inhibitory potential of Cocos nucifera endocarp ethanolic extract. The DNS
based α-amylase assay indicated that the IC50 value for the extract was approximately 100 μg/ml. At higher doses, i.e. above
250 μg/ml, it presented greater α-amylase inhibition than the standard drug, Acarbose when tested in vitro. The ethanolic extract
of C. nucifera presented no hemolytic effects when plate tested on sheep blood agar compared to the standard sodium
lauryl sulphate. The extract’s phytochemical screening indicated high contents of alkaloids, tannins, flavonoids, saponins,
triterpenes, glycosides, carbohydrates, terpenoids, quinones and lactones. Further, GC-MS analysis (Similarity Index was >
90%) predicted myristic acid, syringaldehyde, eugenol, vanillin, 2,4-di-tert-butylphenol, lauric acid, palmitic acid methyl ester
and γ-sitosterol as the phytoconstituents most likely present in the extract. In silico docking studies were performed using VLife
MDS 4.6 software and these molecules, (predicted through the GC-MS analysis), were docked co-crystallized with (Acarbose),
tracking the active site and all other clefts of porcine pancreatic α-amylase (1OSE). γ-sitosterol presented the strongest affinity
towards the active site which was tracked by the co-crystallized ligand along with cavities 1 and 2; significant interactions were
observed at the co-crystallized active site, as well as at 1OSE cavity 4. ADMET analysis was done using StarDrop 6.4 and
Derek Nexus which provided information about the structural features influencing the ADMET properties. The correlation between
the ADME properties of the molecules together with their docking scores provided this design rationale for tailoring of
derivatives from these molecules.
Khan et al. [6] focused on preclinical studies of various glycosides with in vitro α-glucosidase inhibitory activity. The surveyed
literature revealed marked (extremely potent) inhibitory profiles for various glycosides relative to the standard Acarbose.
Such glycosides are strong candidates for more detailed studies that might ascertain their clinical potential to manage diabetes,
where addressing multiple targets is required.
Pseudomonas aeruginosa is one of the major pathogens associated with acute tissue damage in patients with Diabetic Foot
Ulcer (DFU). Owing to a variety of intrinsic and acquired molecular mechanisms, antibiotic resistance in P. aeruginosa often
bodes poorly for predictable and favorable clinical outcomes. In a study aimed to determine the frequency of Extended-
Spectrum β-Lactamases (ESBLs) in multi-drug resistant P. aeruginosa in diabetic foot patients, Hassan et al. [7] showed that P.
aeruginosa isolates present significant differences in their ESBL gene patterns. Polymxin B was found to be most effective
drug against the tested P. aeruginosa isolates and SHV-1 was most the common ESBL among the strains.
Panwar & Singh [8] discuss obesity, a well-known multifactor disorder facing public health authorities around the world.
Increasing rates of obesity have been characterized together with liver disease, various chronic diseases, diabetes mellitus, hypertension,
stroke, heart malfunction, reproductive and gastrointestinal diseases, and gallstones. Pancreatic lipase, an essential
enzyme involved in digestion and absorption of lipids, has become a potential drug target for developing anti-obesity therapeutics
to cure obesity.
We, the Guest-Editors, would like to express our gratitude to the many authors who contributed to this special issue, reporting
investigations in various aspects of Multi-Target Drugs Against Metabolic Disorders.