Using entropy of drug and protein graphs to predict FDA drug-target network: theoretic-experimental study of MAO inhibitors and hemoglobin peptides from Fasciola hepatica

There are many drugs described with very different affinity to a large number of receptors. In this work, we selected Drug-Target pairs (DTPs/nDTPs) of drugs with high affinity/non-affinity for different targets like proteins. Quantitative Structure-Activity Relationships (QSAR) models become a very useful tool in this context to substantially reduce time and resources consuming experiments. Unfortunately, most QSAR models predict activity against only one protein. To solve this problem, we developed here a multi-target QSAR (mt-QSAR) classifier using the MARCH-INSIDE technique to calculate structural parameters of drug and target plus one Artificial Neuronal Network (ANN) to seek the model. The best ANN model found is a Multi-Layer Perceptron (MLP) with profile MLP 32:32-15-1:1. This MLP classifies correctly 623 out of 678 DTPs (Sensitivity = 91.89%) and 2995 out of 3234 nDTPs (Specificity = 92.61%), corresponding to training Accuracy = 92.48%. The validation of the model was carried out by means of external predicting series. The model classifies correctly 313 out of 338 DTPs (Sensitivity = 92.60%) and 1411 out of 1534 nDTP (Specificity = 91.98%) in validation series, corresponding to total Accuracy = 92.09% for validation series (Predictability). This model favorably compares with other LDA and ANN models developed in this work and Machine Learning classifiers published before to address the same problem in different aspects. These mt-QSARs offer also a good opportunity to construct drug-protein Complex Networks (CNs) that can be used to explore large and complex drug-protein receptors databases. Finally, we illustrated two practical uses of this model with two different experiments. In experiment 1, we report prediction, synthesis, characterization, and MAO-A and MAO-B pharmacological assay of 10 rasagiline derivatives promising for anti-Parkinson drug design. In experiment 2, we report sampling, parasite culture, SEC and 1DE sample preparation, MALDI-TOF MS and MS/MS analysis, MASCOT search, MM/MD 3D structure modeling, and QSAR prediction for different peptides of hemoglobin found in the proteome of the human parasite Fasciola hepatica; which is promising for anti-parasite drug targets discovery.     

The use of plasma rich in growth factors (PRGF-Endoret) in the treatment of a severe mal perforant ulcer in the foot of a person with diabetes

A 71 year old person with diabetes with a severe mal perforant ulcer in the right foot was treated twice with autologous plasma-rich in growth factors (PRGF) obtained from her own blood. After PRGF treatment the severe mal perforant ulcer completely healed in 10 weeks.     

Innovative Polymers for Next‐Generation Batteries

Lithium‐ion batteries are part of modern life, being present in daily‐used objects such as mobile phones, tablets, computers, watches, sport accessories, electric scooters, and cars. The next‐generation batteries require the development of innovative polymers that help to improve their performance in terms of power density, cyclability, raw materials' availability, low weight, printability, flexibility, sustainability, or security. This article highlights recent developments in the area of redox‐active, electronic/ionic conducting polymers. This includes the development of innovative binders for electrodes, polymer electrolytes, and redox polymers. All these new polymer developments are leading to new battery technologies such as metal–polymer batteries, organic batteries, polymer–air, and redox–flow batteries, which are expected to complement the current lithium‐ion technologies in the future.     

Outcomes of open versus laparoscopic surgery in patients with colon cancer

Objective

There is limited information on health service use or patient-reported outcomes when comparing the effectiveness of laparoscopic with that of open surgery. The aim was to compare the effectiveness of laparoscopic with that of open surgery up to 2 years after intervention in patients with colon cancer.

Autoreactive B‐lymphocytes in SLE and RA patients: Isolation and characterisation using extractable nuclear and citrullinated antigens bound to immunobeads

Systemic lupus erythematosus and rheumatoid arthritis are autoimmune diseases characterised by B‐cell hyperactivation and production of autoantibodies (AutoAbs) against various self‐antigens, including extractable nuclear antigens and citrullinated peptides. Therefore, B lymphocytes and antibody‐secreting cells are considered relevant targets for therapies. However, isolation and characterisation of auto‐reactive specific B lymphocytes are limited, primarily due to technical issues. In this work, we purified extractable nuclear antigen‐specific and citrullinated peptide‐specific auto‐reactive B lymphocytes by magnetic selection with ENA‐ and citrullinated peptide‐bound immunobeads. We obtained blood auto‐reactive B lymphocytes from most patients. Their nature was primarily naïve B cells, some of them in an active status, with low levels of somatic hypermutations in the immunoglobulin heavy‐chain variable regions. Their presence correlated with serum levels of autoAb. Auto‐reactive B lymphocytes were able to differentiate into auto‐reactive antibody‐secreting cells under conditions of stimulation. In addition, based on the presence of circulating auto‐reactive B cells and/or antibody‐secreting cells, four different profiles were described in lupus patients. Thus, tracking auto‐reactive B cells and/or antibody‐secreting cells in patient blood could represent a biomarker for deciding whether to use therapies blocking either B cells, plasma cells or both, as well as a new tool for monitoring minimal residual autoimmune disease in patients.     

Glycogen Storage Disease Type Ia: Current Management Options,Burden and Unmet Needs

Glycogen storage disease type Ia (GSDIa) is caused by defective glucose-6-phosphatase, a key enzyme in carbohydrate metabolism. Affected individuals cannot release glucose during fasting and accumulate excess glycogen and fat in the liver and kidney, putting them at risk of severe hypoglycaemia and secondary metabolic perturbations. Good glycaemic/metabolic control through strict dietary treatment and regular doses of uncooked cornstarch (UCCS) is essential for preventing hypoglycaemia and long-term complications. Dietary treatment has improved the prognosis for patients with GSDIa; however, the disease itself, its management and monitoring have significant physical, psychological and psychosocial burden on individuals and parents/caregivers. Hypoglycaemia risk persists if a single dose of UCCS is delayed/missed or in cases of gastrointestinal intolerance. UCCS therapy is imprecise, does not treat the cause of disease, may trigger secondary metabolic manifestations and may not prevent long-term complications. We review the importance of and challenges associated with achieving good glycaemic/metabolic control in individuals with GSDIa and how this should be balanced with age-specific psychosocial development towards independence, management of anxiety and preservation of quality of life (QoL). The unmet need for treatment strategies that address the cause of disease, restore glucose homeostasis, reduce the risk of hypoglycaemia/secondary metabolic perturbations and improve QoL is also discussed.