Comparative evaluation of divergent concoction of NGF, BDNF, EGF, and FGF growth factor's role in enhancing neuronal differentiation of adipose-derived mesenchymal stem cells

MSCs (Mesenchymal Stem Cells) can differentiate into various lineages, including neurons and glial cells. In the past few decades, MSCs have been well explored in the context of neuronal differentiation and have been reported to have the immense potential to form distinct kinds of neurons. The distinguishing features of MSCs make them among the most desired cell sources for stem cell therapy. This study involved the trans-differentiation of Adipose-derived human Mesenchymal Stem Cells (ADMSCs) into neurons. The protocol employs a cocktail of chemical inducers in different combinations, including Brain-derived neurotrophic factor (BDNF), epidermal growth factor (EGF), and Nerve growth factor (NGF) Fibroblastic growth factor (FGF), in induction media. Both types have been successfully differentiated into neurons, confirmed by morphological aspects and the presence of neural-specific markers through RT-PCR (Reverse transcription polymerase chain reaction) studies and immunocytochemistry assay. They have shown excellent morphology with long neurites, synaptic connections, and essential neural markers to validate their identity. The results may significantly contribute to cell replacement therapy for neurological disorders.

Inhibition of LINGO1 as a therapeutic target to promote axonal regeneration and repair for neurological disorders

The Central nervous system is blemished by the high incidence of neurodegenerative diseases, which is known to cause disfiguration of regeneration and repair of axonal growth. Recognition of proteins that act as agents of repressing such repair has become the norm to tackle these abominable conditions. One such protein is LINGO1 that act as a repressor for axonal growth. Being one of the critical causative agents of several neurodegenerative pathways. Consequently, its inhibition may tend to help the outcomes of regenerative technologies aiming to outweigh the symptoms of neurodegenerative diseases. For this objective, LINGO1 was targeted with pharmacophore analogs of Fasudil and Ibuprofen, as they are known to have a deterring effect against the concerned protein. 1-Tosyl-2-(chloromethyl)-2,3-dihydro-1H-indole was found showing the least binding score of - 6.8, with verified ADMET admissibility. The pharmacological activity of the said ligand was estimated with QSAR tool showing favourable electro-steric model. All this was finally collaborated with a molecular dynamics simulation study which exhibited a stable structure compatibility of the ligand with LINGO-1. Further, the efficacy of the compound can be evaluated through experimental studies for inferring its future potential and utilization as an effective means to tackle neuronal regeneration and remyleination.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-023-03789-4.

Evaluation of phytoconstituents of Tinospora cordifolia against K417N and N501Y mutant spike glycoprotein and main protease of SARS-CoV-2- an in silico study

Coronavirus disease 2019 (COVID-19) caused appalling conditions over the globe, which is currently faced by the entire human population. One of the primary reasons behind the uncontrollable situation is the lack of specific therapeutics. In such conditions, drug repurposing of available drugs (viz. Chloroquine, Lopinavir, etc.) has been proposed, but various clinical and preclinical investigations indicated the toxicity and adverse side effects of these drugs. This study explores the inhibition potency of phytochemicals from Tinospora cordifolia (Giloy) against SARS CoV-2 drugable targets (spike glycoprotein and Mpro proteins) using molecular docking and MD simulation studies. ADMET, virtual screening, MD simulation, postsimulation analysis (RMSD, RMSF, Rg, SASA, PCA, FES) and MM-PBSA calculations were carried out to predict the inhibition efficacy of the phytochemicals against SARS CoV-2 targets. Tinospora compounds showed better binding affinity than the corresponding reference. Their binding affinity ranges from -9.63 to -5.68 kcal/mole with spike protein and -10.27 to -7.25 kcal/mole with main protease. Further 100 ns exhaustive simulation studies and MM-PBSA calculations supported favorable and stable binding of them. This work identifies Nine Tinospora compounds as potential inhibitors. Among those, 7-desacetoxy-6,7-dehydrogedunin was found to inhibit both spike (7NEG) and Mpro (7MGS and 6LU7) proteins, and Columbin was found to inhibit selected spike targets (7NEG and 7NX7). In all the analyses, these compounds performed well and confirms the stable binding. Hence the identified compounds, advocated as potential inhibitors can be taken for further in vitro and in vivo experimental validation to determine their anti-SARS-CoV-2 potential.Communicated by Ramaswamy H. Sarma.

Therapeutical growth in oligodendroglial fate induction via transdifferentiation of stem cells for neuroregenerative therapy

The merits of stem cell therapy and research are undisputed due to their widespread usage in the treatment of neurodegenerative diseases and demyelinating disorders. Cell replacement therapy especially revolves around stem cells and their induction into different cell lineages both adult and progenitor - belonging to each germ layer, prior to transplantation or disease modeling studies. The nervous system is abundant in glial cells and among these are oligodendrocytes capable of myelinating new-born neurons and remyelination of axons with lost or damaged myelin sheath. But demyelinating diseases generate tremendous deficit between myelin loss and recovery. To compensate for this loss, analyze the defects in remyelination mechanisms as well as to trigger full recovery in such patients mesenchymal stem cells (MSCs) have been induced to transdifferentiate into oligodendrocytes. But such experiments are riddled with problems like prolonged, tenuous and complicated protocols that stretch longer than the time taken for the spread of demyelination-associated after-effects. This review delves into such protocols and the combinations of different molecules and factors that have been recruited to derive bona fide oligodendrocytes from in vitro differentiation of embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs) and MSCs with special focus on MSC-derived oligodendrocytes.

Regulation of neuronal repair and regeneration through inhibition of oligodendrocyte myelin glycoprotein (OMgp)

The inability of neural cells to regenerate themselves after an injury represents the major difference between neural cells and other cells of the body. Various factors are responsible for this, as the expression of myelin-derived inhibitors of axonal outgrowth such as neurite outgrowth inhibitor (Nogo), myelin-associated growth factor, and oligodendrocyte-myelin glycoprotein (OMgp) hinder the central nervous system (CNS) axons to recover properly and inhibit the neuron regeneration. The patient with spinal cord injury can even permanently lose their function due to the inability of axons to regenerate. However, their role in neural regeneration in vivo is not known completely. During the study, we found that once CNS gets injured, the axon growth inhibitor OMgp binds to the Nogo-66 Receptor 1 (NgR1) which in turn restricts the normal functioning of CNS. Considering the OMgp as the target protein, two flavonoid libraries (curcumin and piperine) were screened against it to get potential inhibitors. The effectiveness of the ligands was first screened by three-tier structure-based virtual screening by Glide, Schrödinger. Based on the docking score, the best-docked compounds were taken for absorption, distribution, metabolism, and excretion analysis and the top two complexes from each library were chosen for simulation studies. Flavonoid ligands showed a much better binding affinity when compared with already known inhibitors Riluzole and Minocycline. To date, no natural inhibitors are known for OMgp. Hence, this study can provide novel insight for upcoming research in this area. Communicated by Ramaswamy H. Sarma.

Network pharmacological evaluation of Withania somnifera bioactive phytochemicals for identifying novel potential inhibitors against neurodegenerative disorder

Neurodegenerative disorders are illnesses that are responsible for neuronal cell death and resulting in lifelong cognitive problems. Due to their unclear mechanism, there are no effective drugs available for the treatment. For a long time, herbal drugs have been used as a role model in the field of the drug discovery process. Withania somnifera (Ashwagandha) in the Indian medicinal system (Ayurveda) is used for several neuronal disorders like insomnia and memory loss for decades. This study aims to identify active components of W. somnifera (WS) as potential inhibitors for the treatment of neurodegenerative diseases (ND). To fulfill this objective, Network pharmacology approach, gene ontology, pharmacokinetics analysis, molecular docking, and molecular dynamics simulation (MDS) studies were performed. A total of 77 active components in WS, 175 predicted neurodegenerative targets of WS, and 8085 ND-related targets were identified from different databases. The network analysis showed that the top ten targets APP, EGFR, MAPK1, ESR1, HSPA4, PRKCD, MAPK3, ABL1, JUN, and GSK3B were found as significant target related to ND. On the basis of gene ontology and topology analysis results, APP was found as a significant target related to Alzheimer's disease pathways. Molecular docking results found that Anahygrine, Cuscohygrine, Isopelletierine, and Nicotine showed the best binding affinities -5.55, -4.73, -4.04, and -4.11 Kcal/mol. Further, MDS results suggested that Isopelletierine and Nicotine could be used as potential inhibitors against APP protein and could be useful for the treatment of Alzheimer's disease.Communicated by Ramaswamy H. Sarma.

Network pharmacological evaluation of strigolactones efficacy as potential inhibitors against therapeutic targets of hepatocellular carcinoma

PURPOSE

Hepatocellular carcinoma (HCC) is the uncontrolled growth of hepatocytes which results in nearly 5 million deaths worldwide. Specific strategies have been developed to treat HCC, including surgery, chemotherapy and radiotherapy. But, the effective disease dealing requires synergistic collaboration with other approaches, which often results in moderate to severe side effects during and after the treatment period. Therefore, the focus is now shifting to explore and retrieve those plant-based products that could be utilized to treat HCC with maximum efficacy without causing any side effects. Strigolactones (SL) are compounds of plant origin derived from Striga lutea responsible for controlling the branching pattern of stem and have reported anti-cancerous activity by promoting apoptosis at micromolar concentrations. However, little work has been done concerning determining the pharmacogenomic effect of strigolactones on HCC.

METHODS

Current work focuses on comparing therapeutic efficiencies of SL analogs against core targets of HCC using network pharmacology approach, pharmacokinetics analysis, gene ontogeny, functional enrichment analysis, molecular docking and Molecular Dynamics simulation.

RESULTS

Drug-target prediction and functional enrichment analysis showed that HDAC1 and HDAC2 are the core proteins involved in hepatocellular carcinoma that strigolactone analogs can target. Consequently, results from molecular docking and MD simulation analyses report that among all the SL analogs strigol, epistrigol and nijmegen1 can turn out to be most effective in downregulating the expression of HDAC1, HDAC2 and CYP19A.

CONCLUSION

Strigol, epistrigol and nijmegen1 could be used as potential inhibitors against HCC and can be further validated through in vitro/in vivo studies.

Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach

BACKGROUND AND OBJECTIVE

In type 1 diabetes (T1D) research, in-silico clinical trials (ISCTs) notably facilitate the design/testing of new therapies. Published simulation tools embed mathematical models of blood glucose (BG) and insulin dynamics, continuous glucose monitoring (CGM) sensors, and insulin treatments, but lack a realistic description of some aspects of patient lifestyle impacting on glucose control. Specifically, to effectively simulate insulin correction boluses, required to treat post-meal hyperglycemia (BG > 180 mg/dL), the timing of the bolus may be influenced by subjects' behavioral attitudes. In this work, we develop an easily interpretable model of the variability of correction bolus timing observed in real data, and embed it into a popular simulation tool for ISCTs.

METHODS

Using data collected in 196 adults with T1D monitored in free-living conditions, we trained a decision tree (DT) model to classify whether a correction bolus is injected in a future time window, based on predictors collected back in time, related to CGM data, previous insulin boluses and subject's characteristics. The performance was compared to that of a logistic regression classifier with LASSO regularization (LC), trained on the same dataset. After validation, the DT was embedded within a popular T1D simulation tool and an ISCT was performed to compare the simulated correction boluses against those observed in a subset of data not used for model training.

RESULTS

The DT provided better classification performance (accuracy: 0.792, sensitivity: 0.430, specificity: 0.878, precision: 0.455) than the LC and presented good interpretability. The most predictive features were related to CGM (and its temporal variations), time since the last insulin bolus, and time of the day. The correction boluses simulated by the DT, after implementation in the simulation tool, showed a good agreement with real-world data.

CONCLUSIONS

The DT developed in this work represents a simple set of rules to mimic the same timing of correction boluses observed on real data. The inclusion of the model in simulation tools allows investigators to perform ISCTs that more realistically represent the patient behavior in taking correction boluses and the post-prandial BG response. In the future, more complex models can be investigated.

The cross-talk between mucormycosis, steroids and diabetes mellitus amidst the global contagion of COVID-19

Mucormycosis is an opportunistic fungal disease that targets individuals having an impaired immune system due to a wide array of risk factors including HIV-AIDS, immunosuppressive therapy, diabetes mellitus, etc. The current explosive outbreak of coronavirus disease 2019 (COVID-19) has become the latest threat to such patients who are already susceptible to secondary infections. Physiological outcomes of COVID-19 end up in a cascade of grave alterations to the immunological profile and irreparable harm to their respiratory passage, heart and kidneys. Corticosteroidal treatment facilitates faster recovery and alleviates the adverse pathological effects of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). But clinical reports lend this approach a darker perspective especially if these patients have pre-existing diabetes mellitus. The mucormycotic fungal genera belonging to the order Mucorales not only survive but thrive under the comorbidity of COVID-19 and diabetes, often staying undetected until they have inflicted irreversible damage. Steroidal usage has been noted to be a common thread in the sudden spurt in secondary fungal infections among COVID-19 cases. Once considered a rare occurrence, mucormycosis has now acquired a notoriously lethal status in mainstream medical hierarchy. We set out to investigate whether corticosteroidal therapy against COVID-19 emboldens the development of mucormycosis. We also assess the conditions brought forth by steroidal usage and uncontrolled progression of diabetes in COVID-19 cases and their effect on the susceptibility towards mucormycosis.

Delivering evidence-based interventions for type 1 diabetes in the virtual world - A review of UK practice during the SARS-CoV-2 pandemic

AIMS

This review considers the impact of the SARS-CoV-2 pandemic on access to interventions for those living with type 1 diabetes and discusses the solutions which have been considered and actioned to ensure ongoing access care.

METHODS

We performed a focussed review of the published literature, and the guidelines for changes that have been effected during the pandemic. We also drew from expert recommendations and information about local practice changes for areas where formal data have not been published.

RESULTS

Evidence based interventions which support the achievement of improved glucose levels and/or reduction in hypoglycaemia include group structured education to support self-management, insulin pump therapy and continuous glucose monitoring. The SARS-CoV-2 pandemic had impacted the ability of diabetes services to deliver these intervention. Multiple adaptations have been put in place - transition to online delivery of education and care, and usage of diabetes technology.

CONCLUSIONS

Although various adaptations have been made during the pandemic that have positively influenced uptake of services, there are many areas of delivery that need immediate improvement in the UK. We recommend a proactive approach in recognising the digital divide and inequity in distribution of these changes and we recommend introducing measures to reduce them.

A candidate triple-negative breast cancer vaccine design by targeting clinically relevant cell surface markers: an integrated immuno and bio-informatics approach

Triple-negative breast cancer (TNBC) is an aggressive, metastatic/invasive sub-class of breast cancer (BCa). Cell surface protein-derived multi-epitope vaccine-mediated targeting of TNBC cells could be a better strategy against the disease. Literature-based identified potential cell surface markers for TNBC cells were subjected to expression pattern and survival analysis in BCa patient sample using TCGA database. The cytotoxic and helper T-lymphocytes antigenic epitopes in the test proteins were identified, selected and fused together with the appropriate linkers and an adjuvant, to construct the multi-epitope vaccine (MEV). The immune profile, physiochemical property (PP) and world population coverage of the MEV was studied. Immune simulation, cloning in a suitable vector, molecular docking (against Toll-like receptors, MHC (I/II) molecules), and molecular dynamics simulations of the MEV was performed. Cell surface markers were differentially expressed in TNBC samples and showed poor survival in TNBC patients. Satisfactory PP and WPC (up to 89 and 99%) was observed. MEV significant stable binding with the immune molecules and induced the immune cells in silico. The designed vaccine has capability to elicit immune response which could be utilized to target TNBC alone/combination with other therapy. The experimental studies are required to check the efficacy of the vaccine.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13205-022-03140-3.

A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters

In diabetes management, the fraction of time spent with glucose concentration within the physiological range of [70-180] mg/dL, namely time in range (TIR) is often computed by clinicians to assess glycemic control using a continuous glucose monitoring sensor. However, a sufficiently long monitoring period is required to reliably estimate this index. A mathematical equation derived by our group provides the minimum trial duration granting a desired uncertainty around the estimated TIR. The equation involves two parameters, p_r and α, related to the population under analysis, which should be set based on the clinician's experience. In this work, we evaluated the sensitivity of the formula to the parameters.Considering two independent datasets, we predicted the uncertainty of TIR estimate for a population, using the parameters of the formula estimated for a different population. We also stressed the robustness of the formula by testing wider ranges of parameters, thus assessing the impact of large errors in the parameters' estimates.Plausible errors on the α estimate impact very slightly on the prediction (relative discrepancy < 5%), thus we suggest using a fixed value for α independently on the population being analyzed. Instead, p_r should be adjusted to the TIR expected in the population, considering that errors around 20% result in a relative discrepancy of ~10%.In conclusion, the proposed formula is sufficiently robust to parameters setting and can be used by investigators to determine a suitable duration of the study.

Intrauterine immunizations trigger antigen-specific mucosal and systemic immunity in pigs and passive protection in suckling piglets

We assessed whether vaccines administered to the uterus at breeding can lead to sufficient colostral antibodies to protect suckling piglets against Porcine Endemic Diarrhea Virus (PEDV). An antigen from Lawsonia intracellularis, a disease that impacts weanling intestinal health, was also included because we have extensive knowledge on the pig immune response to this antigen. Gilts were mock-bred at 2nd estrus with killed sperm including an intrauterine (i.u.) vaccine comprised of recombinant (r) PEDV Spike protein (rPEDVS1) and L. intracellularis flagellin (rFliC) formulated with poly I:C, host defense peptide, and polyphosphazene (TriAdj). Gilts returned to estrus within 3 weeks and they were inseminated with killed sperm (3rd estrus) or live sperm (4th estrus) with rPEDVS1-TriAdj vaccine. They also received an i.m. injection of rFliC-TriAdj at 3rd and 4th estrus to establish whether i.u. vaccination primes systemic immunity without inducing mucosal tolerance. Control gilts were administered semen alone at 2nd estrus which allowed us to compare litter weights and sizes to industry standards. Colostrum from gilts challenged with low dose PEDV plus alum was used as positive reference samples for neutralizing antibodies and passive protection. Thirteen weeks later, the i.u.-vaccinated gilts showed significant PEDVS1-specific serum, colostral, and uterine antibody titers and colostral PEDVS1-neutralizing antibodies but poor cell-mediated immunity. Piglets born to i.u. vaccinated gilts received partial passive protection from PEDV infection 3 days after birth but eventually succumbed to the disease. Immunization by the i.u./i.m. route triggered significant anti-FliC cell-mediated immunity and colostral FliC antibodies that remained high in weaned piglet serum. This trial and a repeat trial wherein gilts were immunized at 1st estrus without semen and at 2nd estrus with live semen showed that intrauterine immunization did not impact fertility, number of live births or piglet growth kinetics. Further optimization is needed to promote robust passive protection in suckling offspring.

The transCampus Metabolic Training Programme Explores the Link of SARS-CoV-2 Virus to Metabolic Disease

Currently, we are experiencing a true pandemic of a communicable disease by the virus SARS-CoV-2 holding the whole world firmly in its grasp. Amazingly and unfortunately, this virus uses a metabolic and endocrine pathway via ACE2 to enter our cells causing damage and disease. Our international research training programme funded by the German Research Foundation has a clear mission to train the best students wherever they may come from to learn to tackle the enormous challenges of diabetes and its complications for our society. A modern training programme in diabetes and metabolism does not only involve a thorough understanding of classical physiology, biology and clinical diabetology but has to bring together an interdisciplinary team. With the arrival of the coronavirus pandemic, this prestigious and unique metabolic training programme is facing new challenges but also new opportunities. The consortium of the training programme has recognized early on the need for a guidance and for practical recommendations to cope with the COVID-19 pandemic for the community of patients with metabolic disease, obesity and diabetes. This involves the optimal management from surgical obesity programmes to medications and insulin replacement. We also established a global registry analyzing the dimension and role of metabolic disease including new onset diabetes potentially triggered by the virus. We have involved experts of infectious disease and virology to our faculty with this metabolic training programme to offer the full breadth and scope of expertise needed to meet these scientific challenges. We have all learned that this pandemic does not respect or heed any national borders and that we have to work together as a global community. We believe that this transCampus metabolic training programme provides a prime example how an international team of established experts in the field of metabolism can work together with students from all over the world to address a new pandemic.

Time in range: A best practice guide for UK diabetes healthcare professionals in the context of the COVID-19 global pandemic

The emergence of continuous glucose monitoring has driven improvements in glycaemic control and quality of life for people with diabetes. Recent changes in access to continuous glucose monitoring systems within UK health services have increased the number of people able to benefit from these technologies. The COVID-19 pandemic has created an opportunity for diabetes healthcare professionals to use continuous glucose monitoring technology to remotely deliver diabetes services to support people with diabetes. This opportunity can be maximized with improved application and interpretation of continuous glucose monitoring-generated data. Amongst the diverse measures of glycaemic control, time in range is considered to be of high value in routine clinical care because it is actionable and is visibly responsive to changes in diabetes management. Importantly, it is also been linked to the risk of developing complications associated with diabetes and can be understood by people with diabetes and healthcare professionals alike. The 2019 International Consensus on Time in Range has established a series of target glucose ranges and recommendations for time spent within these ranges that is consistent with optimal glycaemic control. The recommendations cover people with type 1 or type 2 diabetes, with separate targets indicated for elderly people or those at higher risk from hypoglycaemia, as well as for women with type 1 diabetes during pregnancy. The aim of this best practice guide was to clarify the intent and purpose of these international consensus recommendations and to provide practical insights into their implementation in UK diabetes care.

Distal technology interventions in people with diabetes: an umbrella review of multiple health outcomes

AIM

To summarize and evaluate the existing evidence on the effectiveness of distal technology with regard to multiple health outcomes in people with diabetes.

METHODS

We searched PubMed, EMBASE and the Cochrane Database of Systematic Reviews from database inception to 31 August 2018 for systematic reviews and/or meta-analyses of studies that examined the impact of distal technology and reported any clinical or patient-related outcomes among people with type 1 or type 2 diabetes.

RESULTS

The umbrella review identified 95 reviews, including 162 meta-analyses with 46 unique outcomes. Evidence from meta-analyses of randomized controlled studies supports the use of distal technology, especially telehealth and mHealth (healthcare delivered by mobile technology), in people with diabetes for improving HbA_1c values by 2-4 mmol/mol (0.2-0.4%). For other health outcomes, such as changes in fasting plasma glucose levels, risk of diabetic ketoacidosis or frequency of severe hypoglycaemia, the evidence was weaker. No evidence was reported for most patient-reported outcomes including quality of life, self-efficacy and medication-taking. The evidence base was poor, with most studies rated as low to very low quality.

CONCLUSION

Distal technologies were associated with a modest improvement in glycaemic control, but it was unclear if they improved major clinical outcomes or were cost-effective in people with diabetes. More robust research to improve wider outcomes in people with diabetes is needed before such technologies can be recommended as part of routine care for any patient group.

Do-it-yourself closed-loop systems for people living with type 1 diabetes

Growing numbers of people with type 1 diabetes are using do-it-yourself closed-loop systems. While these technologies are not approved by regulatory bodies and are not commercially available, users of the technology report improvements in HbA_1c and time in range, and reduced burden of diabetes. Healthcare professionals have expressed their concern that legal or regulatory body actions could ensue if they support people who choose to use do-it-yourself closed-loop systems. Diabetes UK's position statements make recommendations that aim to provide guidance for both people with diabetes and healthcare professionals, based on the current professional and legal situation. They respect an individual's right to make their own informed decisions about their diabetes management, and recommend that they should have access to the technology they need for optimal diabetes management. People who wish to use do-it-yourself closed-loop systems should continue to receive support and care from their diabetes team. Healthcare professionals should engage in conversations around do-it-yourself closed-loop systems, if the issue is raised, to allow a balanced discussion of risks and benefits. However, healthcare professionals cannot recommend the use of do-it-yourself closed-loop systems because of a lack of regulatory body approval and robust, published research to support safety or effectiveness. People using this technology should be aware that they do so at their own risk. This position statement recognizes that the development of diabetes technology is a rapidly changing environment, and guidance around do-it-yourself systems is required from professional and regulatory bodies.

Therapeutic Advancement in Neuronal Transdifferentiation of Mesenchymal Stromal Cells for Neurological Disorders

Neurodegenerative disorders have become the leading cause of chronic pain and death. Treatments available are not sufficient to help the patients as they only alleviate the symptoms and not the cause. In this regard, stem cells therapy has emerged as an upcoming option for the replacement of dead and damaged neurons. Stem cells, in general, are characterized as cells exhibiting potency properties, i.e., on being subjected to specific conditions they transform into cells of another lineage. Of all the types, mesenchymal stem cells (MSCs) are known for their pluripotent nature without the obstacle of ethical concern surrounding the procurement of other cell types. Although fibroblasts are quite similar to MSCs morphologically, certain markers like CD73, CD 90 are specific to MSCs, making both the cell types distinguishable from each other. This is implemented while procuring MSCs from a plethora of sources like umbilical cord blood, adipose tissue, bone marrow, etc. Among these, bone marrow MSCs are the most widely used type for neural regeneration. Neural regeneration is achieved via transdifferentiation. Several studies have either transplanted the stem cells into rodent models or have carried out transdifferentiation in vitro. The process involves a combination of growth factors, pre-treatment factors, and neuronal differentiation inducing mediums. The results obtained are characterized by neuron-like morphology, expression of markers, along with electrophysical activity in some. Recent attempts involve exploring biomaterials that may mimic the native ECM and therefore can be directly introduced at the site of interest. The review gives a brief description of MSCs, their sources and markers, and the different attempts that have been made towards achieving the goal of differentiating MSCs into neurons.

Reducing the burden of hypoglycaemia in people with diabetes through increased understanding: design of the Hypoglycaemia REdefining SOLutions for better liVEs (Hypo-RESOLVE) project

BACKGROUND

Hypoglycaemia is the most frequent complication of treatment with insulin or insulin secretagogues in people with diabetes. Severe hypoglycaemia, i.e. an event requiring external help because of cognitive dysfunction, is associated with a higher risk of adverse cardiovascular outcomes and all-cause mortality, but underlying mechanism(s) are poorly understood. There is also a gap in the understanding of the clinical, psychological and health economic impact of 'non-severe' hypoglycaemia and the glucose level below which hypoglycaemia causes harm.

AIM

To increase understanding of hypoglycaemia by addressing the above issues over a 4-year period.

METHODS

Hypo-RESOLVE is structured across eight work packages, each with a distinct focus. We will construct a large, sustainable database including hypoglycaemia data from >100 clinical trials to examine predictors of hypoglycaemia and establish glucose threshold(s) below which hypoglycaemia constitutes a risk for adverse biomedical and psychological outcomes, and increases healthcare costs. We will also investigate the mechanism(s) underlying the antecedents and consequences of hypoglycaemia, the significance of glucose sensor-detected hypoglycaemia, the impact of hypoglycaemia in families, and the costs of hypoglycaemia for healthcare systems.

RESULTS

The outcomes of Hypo-RESOLVE will inform evidence-based definitions regarding the classification of hypoglycaemia in diabetes for use in daily clinical practice, future clinical trials and as a benchmark for comparing glucose-lowering interventions and strategies across trials. Stakeholders will be engaged to achieve broadly adopted agreement.

CONCLUSION

Hypo-RESOLVE will advance our understanding and refine the classification of hypoglycaemia, with the ultimate aim being to alleviate the burden and consequences of hypoglycaemia in people with diabetes.

Recurrent diabetic ketoacidosis and a brief history of brittle diabetes research: contemporary and past evidence in diabetic ketoacidosis research including mortality, mental health and prevention

Pharmacological, technological and educational approaches have advanced the treatment of Type 1 diabetes in the last four decades and yet diabetic ketoacidosis (DKA) continues to be a leading cause of admission in Type 1 diabetes. This article begins by reviewing the contemporary epidemiological evidence in DKA. It highlights a rise in DKA episodes in the last two decades, with DKA continuing to be the leading cause of death in young people with Type 1 diabetes, and that DKA episodes are a marker for subsequent all-cause mortality. It also summarizes the limited evidence base for DKA prevention and associations with psychopathology. To emphasize the importance of this group with high-risk Type 1 diabetes and the degree to which they have been overlooked in the past two decades, the article summarizes the research literature of recurrent DKA during 1976-1991 when it was extensively investigated as part of the phenomenon of 'brittle diabetes'. This period saw numerous basic science studies investigating the pathophysiology of recurrent DKA. Subsequently, research centres published their experiences of brittle diabetes research participants manipulating their treatment under research conditions. Unfortunately, the driver for this behaviour and whether it was indicative of other people with ketoacidosis was not pursued. In summary, we suggest there has been a stasis in the approach to recurrent DKA prevention, which is likely linked to historical cases of mass sabotage of brittle diabetes research. Further investigation is required to clarify possible psychological characteristics that increase the risk of DKA and thereby targets for DKA prevention.

Use of sensor-integrated pump therapy to reduce hypoglycaemia in people with Type 1 diabetes: a real-world study in the UK

AIMS

To assess the efficacy of insulin pumps with automated insulin suspension systems in a real-world setting.

METHODS

We analysed anonymized data uploaded to CareLink^™ by people (n=920) with Type 1 diabetes using the MiniMed Paradigm Veo system and the MiniMed 640G system (Medtronic International Trading Sàrl, Tolochanez, Switzerland) with SmartGuard technology, with or without automated insulin suspension enabled, between February 2016 and June 2018. Users with ≥15 days of sensor data and ≥70% sensor-wear time were classified as sensor-augmented pump alone, sensor-integrated pump with low glucose suspend enabled or sensor-integrated pump with predictive low glucose management enabled.

RESULTS

The median (25^th -75^th percentile) system use was 161 (58-348) days. The median time spent with sensor glucose values ≤3 mmol/l was 0.8 (0.3-1.7)% in the sensor-augmented pump group, 0.3 (0.1-0.7)% in the sensor-integrated pump with low glucose suspend group, and 0.3 (0.1-0.5)% in the sensor-integrated pump with predictive low glucose management group. In individuals switching from sensor-augmented pump to sensor-integrated pump with low glucose suspend (n=31), there were significant reductions in the monthly rate of hypoglycaemic events <3 mmol/l (rate ratio 0.63, 95% CI 0.45-0.89; P=0.009) and in the percentage of time with glucose values ≤3 mmol/l [sensor-augmented pump: 0.63% (95% CI 0.34-1.29), sensor-integrated pump with low glucose suspend: 0.33% (95% CI 0.16-0.64); P=0.001]. The monthly rate of hypoglycaemic events decreased further in individuals (n=139) switching from sensor-integrated pump with low glucose suspend to sensor-integrated pump with predictive low glucose management [rate ratio 0.82 (95% CI 0.69-0.98); P<0.0274]. Similar results were seen for events <3.9 mmol/l. There was no difference in median time spent in target glucose range.

CONCLUSION

Real-world UK data show that increasing automation of insulin suspension reduces hypoglycaemia exposure in people with Type 1 diabetes.

A modelling study of the budget impact of improved glycaemic control in adults with Type 1 diabetes in the UK

AIMS

To develop a novel interactive budget impact model that assesses affordability of diabetes treatments in specific populations, and to test the model in a hypothetical scenario by estimating cost savings resulting from reduction in HbA_1c from ≥69 mmol/mol (8.5%) to a target of 53 mmol/mol (7.0%) in adults with Type 1 diabetes in the UK.

METHODS

A dynamic, interactive model was created using the projected incidence and progression over a 5-year horizon of diabetes-related complications (micro- and macrovascular disease, severe hypoglycaemia and diabetic ketoacidosis) for different HbA_1c levels, with flexible input of population size, complications and therapy costs, HbA_1c distribution and other variables. The model took a National Health Service and societal perspective.

RESULTS

The model was developed, and in the proposed hypothetical situation, reductions in complications and expected costs evaluated. Achievement of target HbA_1c in individuals with HbA_1c ≥69 mmol/mol (8.5%) would reduce expected chronic complications from 6.8 to 1.2 events per 100 person-years, and diabetic ketoacidosis from 14.5 to 1.0 events per 100 person-years. Potential cumulative direct cost savings achievable in the modelled population were estimated at £687 m over 5 years (£5,585/person), with total (direct and indirect) savings of £1,034 m (£8,400/person).

CONCLUSIONS

Implementation of strategies aimed at achieving target glucose levels in people with Type 1 diabetes in the UK has the potential to drive a significant reduction in complication costs. This estimate may provide insights into the potential for investment in achieving savings through improved diabetes care in the UK.

A Type 1 diabetes technology pathway: consensus statement for the use of technology in Type 1 diabetes

In both adults and children with diabetes, technologies such as continuous subcutaneous insulin infusion using insulin pumps and continuous glucose monitoring can help improve diabetes control, reduce hypoglycaemia and improve quality of life. Access to these technologies in the UK is very variable. Some technologies are recommended by the National Institute for Health and Care Excellence, while others have not been appraised, and new technologies are emerging all the time. Additionally, different guidelines for adults and children further complicate access to diabetes technology in the transition from paediatric to adult care. Against this background, Diabetes UK and NHS England have brought together a multidisciplinary group of experts, including clinicians and people with diabetes, to develop this consensus guideline, combining the different technologies into a common pathway to aid clinical and policy decision-making. We created a pathway that supports the incremental addition of technology as monotherapy and then dual therapy in the same way that we incrementally add in therapeutic agents to support people with Type 2 diabetes to achieve their personalized glycaemic targets. The pathway emphasizes the importance of structured education, specialist support and appropriate access to psychological therapies, as essential pillars for optimized use of diabetes-related technology, and recommends the re-evaluation of its use when the individual is unable either to use the technology appropriately or to achieve the intended outcomes. This pathway is endorsed by UK-wide clinical and patient associations and we recommend that providers and commissioners use it to ensure the right individual with diabetes has access to the right technology in a timely way to help achieve better outcomes.

Optimal prandial timing of bolus insulin in diabetes management: a review

The inability to achieve optimal diabetes glucose control in people with diabetes is multifactorial, but one contributor may be inadequate control of postprandial glucose. In patients treated with multiple daily injections of insulin, both the dose and timing of meal-related rapid-acting insulin are key factors in this. There are conflicting opinions and evidence on the optimal time to administer mealtime insulin. We performed a comprehensive literature search to review the published data, focusing on the use of rapid-acting insulin analogues in patients with Type 1 diabetes. Pharmacokinetic and pharmacodynamic studies of rapid-acting insulin analogues, together with postprandial glucose excursion data, suggest that administering these 15-20 min before food would provide optimal postprandial glucose control. Data from clinical studies involving people with Type 1 diabetes receiving structured meals and rapid-acting insulin analogues support this, showing a reduction in post-meal glucose levels of ~30% and less hypoglycaemia when meal insulin was taken 15-20 min before a meal compared with immediately before the meal. Importantly, there was also a greater risk of postprandial hypoglycaemia when patients took rapid-acting analogues after eating compared with before eating.

Proportion of daily capillary blood glucose readings required in the target range for target glycaemic control: shift of focus from target range to proportion in range

AIM

Most guidelines provide people with Type 1 diabetes with pre- and post-meal capillary blood glucose (CBG) targets to achieve optimal glycaemic control. We evaluated the proportion of daily CBG readings between 4 and 10 mmol/l in people achieving different HbA_1c levels.

METHOD

We analysed CBG data from routine pump/meter downloads from 201 adults treated with continuous subcutaneous insulin infusion (CSII) at a single hospital clinic. Exclusion criteria were CSII < 6 months, < 3 CBG/day, pregnancy, haemoglobinopathy and continuous sensor use. People were categorized into three groups based on HbA_1c : < 58 mmol/mol, < 7.5% (n = 58); 58-74 mmol/mol, 7.5-8.9% (n = 107); and ≥ 75 mmol/mol, ≥ 9.0% (n = 36).

RESULTS

Participants had a mean age of 43 ± 13 years and mean HBA_1c of 64 mmol/mol (8.0 ± 1.1%). 47% of people started CSII for raised HbA_1c , 25% due to hypoglycaemia and the rest during pregnancy. Downloads contained a mean of 22 ± 6.8 days of data per participant. CBG frequency was similar between the three groups (5.6 ± 2.0, 5.6 ± 1.9 and 5.4 ± 1.2 CBG/day; P = 0.468). The proportion of CBG readings between 4 and 10 mmol/l (72-180 mg/dl) was 57.3 ± 25.4%, 50.6 ± 11.1% and 39.9 ± 16.5% (P < 0.0001); < 4 mmol was 13.8%, 8.8% and 4.4% (P < 0.0001) and > 10 mmol/l was 28.9 ± 16.5%, 40.6 ± 12.1% and 55.6 ± 17.9% (P < 0.0001) in the three groups respectively.

CONCLUSIONS

Participants achieving HBA_1c < 58 mmol/mol (< 7.5%) had ~ 60% of CBG readings in range (4-10 mmol/l), with up to 30% of readings > 10 mmol/l. This target of achieving 60% or more readings within target, and being permissive with up to 30% readings > 10 mmol/l may be a novel target for people with diabetes, and may reduce anxiety associated with readings out of range.

Sudden cardiac death in adults with congenitally corrected transposition of the great arteries

Background

Congenitally corrected transposition of the great arteries (ccTGA) is a rare congenital heart disease. There have been only few reports of sudden cardiac death (SCD) in patients with ccTGA and reasonable ventricular function.

Methods

A retrospective review of the medical records of all patients attending our adult congenital heart centre, with known ccTGA.

Results

From a database of over 3500 adult patients with congenital heart disease, we identified 39 (∼1%) with ccTGA and ‘two-ventricle’ circulations. 65% were male. The mean age at diagnosis was 12.4±11.4 years and the mean age at last time of review was 34.3±11.3 years. 24 patients (56%) had a history of surgical intervention. 8 (19%) had had pacemaker implantation and 2 had had a defibrillator implanted for non-sustained ventricular tachycardia (NSVT). In 544 years of patient follow-up, there had been five cases of SCD in our population; 1 death per 109 patient-years. Two of these patients had had previously documented supraventricular or NSVT. However, they were all classified as New York Heart Association (NYHA) class I or II, and systemic (right) ventricular function had been recorded as normal, mildly or mildly–moderately impaired, at most recent follow-up.

Conclusions

Our experience suggests the need for improved risk stratification and/or surveillance for malignant arrhythmia in adults with ccTGA, even in those with reasonable functional class on ventricular function.

Sustained benefit of continuous subcutaneous insulin infusion on glycaemic control and hypoglycaemia in adults with Type 1 diabetes

AIM

To evaluate the sustainability of the benefits of continuous subcutaneous insulin infusion therapy in routine practice in a cohort of adults with diabetes.

METHODS

The clinical records of all adults starting continuous subcutaneous insulin infusion over 12 years at our centre were included in this study. Baseline and mean annual HbA(1c) levels were recorded. The frequency of mild-to-moderate and severe hypoglycaemia and hypoglycaemia awareness were analysed in a subgroup.

RESULTS

Adequate data were available from 327 patients, of whom 71% were female. The patients' mean ± sd age was 41 ± 14 years, the mean ± sd (range) follow-up for continuous subcutaneous insulin infusion was 4.3 ± 2.7 (1-12) years. The mean ± sd HbA(1c) concentration fell by 8 ± 5 mmol/mol (0.7 ± 0.5%) at year 1 [to 63 ± 12 mmol/mol from 70 ± 18 mmol/mol (7.9 ± 1.1% from 8.6 ± 1.6%); P < 0.0005], sustained to year 5. In patients with initial poor control, HbA(1c) dropped by 12 ± 11 mmol/mol (1.1 ± 1.0%; P < 0.0005) at year 1, sustained to year 6. The percentage of patients with ≥ 5 mild to moderate hypoglycaemic episodes per week fell from 29 to 12% (n = 163; P = 0.006). In the subgroup (n = 87; follow-up 2.5 ± mean ± sd 1.1 years), the frequency of severe hypoglycaemia fell from 0.6 ± 1.7 episodes per patient per year to 0.3 ± 0.9 (P = 0.047). Of 24 patients with impaired awareness of hypoglycaemia (Gold score ≥ 4), the mean ± sd Gold score improved from 4.9 ± 0.9 to 3.8 ± 1.7 (P = 0.011). Nine people regained awareness. No deterioration in HbA(1c) was seen in the hypoglycaemia-prone groups.

CONCLUSIONS

The benefits of continuous subcutaneous insulin infusion with regard to improving glycaemic control and reducing hypoglycaemia frequency, along with improvement in hypoglycaemia awareness without deterioration in glycaemic control, can be sustained over several years in clinical practice.

Unsupervised home use of an overnight closed-loop system over 3-4 weeks: a pooled analysis of randomized controlled studies in adults and adolescents with type 1 diabetes

AIMS

To compare overnight closed-loop and sensor-augmented pump therapy in patients with type 1 diabetes by combining data collected during free-living unsupervised randomized crossover home studies.

METHODS

A total of 40 participants with type 1 diabetes, of whom 24 were adults [mean ± standard deviation (s.d.) age 43 ± 12 years and glycated haemoglobin (HbA1c) 8.0 ± 0.9%] and 16 were adolescents (mean ± s.d. age 15.6 ± 3.6 years and HbA1c 8.1 ± 0.8%), underwent two periods of sensor-augmented pump therapy in the home setting, in combination with or without an overnight closed-loop insulin delivery system that uses a model predictive control algorithm to direct insulin delivery. The order of the two interventions was random; each period lasted 4 weeks in adults and 3 weeks in adolescents. The primary outcome was time during which sensor glucose readings were in the target range of 3.9-8.0 mmol/l.

RESULTS

The proportion of time when sensor glucose was in the target range (3.9-8.0 mmol/l) overnight (between 24:00 and 08:00 hours) was 18.5% greater during closed-loop insulin delivery than during sensor-augmented therapy (p < 0.001). Closed-loop therapy significantly reduced mean overnight glucose levels by 0.9 mmol/l (p < 0.001), with no difference in glycaemic variability, as measured by the standard deviation of sensor glucose. Time spent above the target range was reduced (p = 0.001), as was time spent in hypoglycaemia (<3.9 mmol/l; p = 0.014) during closed-loop therapy. Lower mean overnight glucose levels during closed-loop therapy were brought about by increased overnight insulin delivery (p < 0.001) without changes to the total daily delivery (p = 0.84).

CONCLUSION

Overnight closed-loop insulin therapy at home in adults and adolescents with type 1 diabetes is feasible, showing improvements in glucose control and reducing the risk of nocturnal hypoglycaemia.

Late outcomes in adults with coarctation of the aorta

AIMS

Previous cohort studies of patients with coarctation of the aorta (CoA) demonstrate reduced long-term survival. Improved surgical outcomes in children and evolution of adult congenital heart disease (ACHD) services have resulted in improved survival in patients with other CHDs. We hypothesise that for young adult patients with CoA long-term outcomes have improved in the contemporary era.

METHODS

151 patients (58% men) with simple CoA followed up at a tertiary ACHD service in Sydney, Australia, from 1993 to 2013 were included. We documented mortality and major morbidity such as the need for re-intervention for re-coarctation or aneurysms.

RESULTS

140 patients (mean age 35±15 years) underwent CoA repair at median age of 5 (IQR 0-10) years. Initial surgical strategy included end-to-end repair in 43, subclavian flap aortoplasty in 28 and patch aortoplasty in 31 patients (and was not documented in 28 cases). 6 patients had endovascular repair, 4 had interposition tube grafts and 11 were unrepaired. There were a total of seven deaths at a median age of 60 years. Actuarial survival was 98% at 40, 98% at 50 and 89% at 60 years of age. Re-coarctation occurred in 34% and descending aortic aneurysms were noted in 18%. Patients with end-to-end repair had lower rates of significant re-coarctation or descending aortic aneurysms (p=0.026 and <0.001, respectively). 66% had bicuspid aortic valve and 44% were hypertensive.

CONCLUSIONS

Patients with CoA who reach adolescence demonstrate very good long-term survival up to age 60 years. Long-term morbidity is common, however, related largely to aortic complications and late hypertension.

Modification of human islet preparation: an effective approach to improve graft outcome after islet transplantation?

Revascularisation of transplanted islets is an essential prerequisite for graft survival and function. However, current islet isolation procedures deprive the islets of endothelial tubulets. This may have a detrimental effect on the revascularisation process of islets following transplantation. We hypothesise that modification of the isolation procedure that preserves islet endothelial vessels may improve the islet revascularisation process following transplantation. Here, we present a modified islet isolation method by which a substantial amount of endothelial cells still attached to the islets could be preserved. The islets with preserved endothelial cells isolated by this method were revascularised within 3 days, not observed in islets isolated by standard methods. Further, we observed that grafts of islets isolated by standard methods had more patches of dead tissue than islet grafts obtained by the modified method, indicating that attached endothelial cells may play an important role in the islet revascularisation process and potentially help to improve the transplantation outcome.

Outcomes for adults with type 1 diabetes referred with severe hypoglycaemia and/or referred for islet transplantation to a specialist hypoglycaemia service

Islet transplantation alone (ITA) is indicated for patients with type 1 diabetes (T1D) with disabling severe hypoglycaemia (SH) despite optimised medical therapy. We examined outcomes for patients referred to an islet transplant unit with recurrent SH. Retrospective case note audit of 45 patients with ≥1 SH per year who were referred to our ITA unit between 2009-2012; 36 patients attended follow-up appointments. The cohort was 52.8% male, mean (± SD) age 43.9 (± 11.4) years, and duration of diabetes 26.5 (± 12.9) years. Baseline HbA1c was 8.3% (± 1.7) (67.2 mmol/mol), median (IQR) frequency of SH was 6.0 (2.0-24.0) per/patient/year and 83.3% had impaired awareness of hypoglycaemia (IAH). 80.6% of patients were referred from other secondary diabetes services, 22.2% had completed structured education, and 30.6% were using continuous subcutaneous insulin infusion (CSII). Seventeen patients were optimised with conventional therapy; SH reduced from 2.0 (1.5-9.0) to 0.0 (0.0-0.5) episodes/patient/year; p<0.001, and there was concurrent improvement in HbA1c (8.1-7.7%; 65.0 vs. 60.7 mmol/mol; p=0.072). Ten patients were listed for transplantation as they were not optimised despite structured education, CSII, and continuous glucose monitoring (CGM). The remaining 9 had a reduction in SH [7.0 (4.8-40.5) to 4.0 (2.5-6.3) episodes/patient/year; p=0.058] and either left the service (n=5) or are still being optimised (n=4). In conclusion, 47.2% of patients presenting with problematic hypoglycaemia resolved with optimal medical therapy, with a further 25% achieving clinically relevant improvement, however 27.8% required transplantation despite access to all therapies. Provision of expertise in hypoglycaemia management is essential to focus limited transplant resources on those who need it most.

Improving the diagnosis of LV non-compaction with cardiac magnetic resonance imaging

BACKGROUND

Current diagnostic criteria for left ventricular non-compaction (LVNC) poorly correlate with clinical outcomes. We aimed to develop a cardiac magnetic resonance (CMR) based semi-automated technique for quantification of non-compacted (NC) and compacted (C) masses and to ascertain their relationships to global and regional LV function.

METHODS

We analysed CMR data from 30 adults with isolated LVNC and 20 controls. NC and C masses were measured using relative signal intensities of myocardium and blood pool. Global and regional LVNC masses was calculated and correlated with both global and regional LV systolic function as well as occurrence of arrhythmia.

RESULTS

LVNC patients had significantly higher end-systolic (ES) and end-diastolic (ED) NC:C ratios compared to controls (ES 0.21 [SD 0.09] vs. 0.12 [SD 0.02], p<0.001; ED 0.39 [SD 0.08] vs. 0.26 [SD 0.05], p<0.001). NC:C ratios correlated inversely with global ejection fraction, with a stronger correlation in ES vs. ED (r=-0.58, p<0.001 vs. r=-0.30, p=0.03). ES basal, mid and apical NC:C ratios also showed a significant inverse correlation with global LV ejection fraction (ES basal r=-0.29, p=0.04; mid-ventricular r=-0.50, p<0.001 and apical r=-0.71, p<0.001). Upon ROC testing, an ES NC:C ratio of 0.16 had a sensitivity of 70% and a specificity of 95% for detection of significant LVNC. Patients with sustained ventricular tachycardia had a significantly higher ES NC:C ratio (0.31 [SD 0.18] vs. 0.20 [SD 0.06], p=0.02).

CONCLUSIONS

The NC:C ratio derived from relative signal intensities of myocardium and blood pool improves the ability to detect clinically relevant NC compared to previous CMR techniques.