Diabetic polyneuropathy is the most common acquired diffuse disorder of the peripheral nervous system. It is generally assumed that insulin benefits human and experimental diabetic neuropathy indirectly by lowering glucose levels. Insulin also provides potent direct support of neurons and axons, and there is a possibility that abnormalities in direct insulin signaling on peripheral neurons relate to the development of this disorder. Here we report that direct neuronal (intrathecal) delivery of low doses of insulin (0.1-0.2 IU daily), insufficient to reduce glycemia or equimolar IGF-I but not intrathecal saline or subcutaneous insulin, improved and reversed slowing of motor and sensory conduction velocity in rats rendered diabetic using streptozotocin. Moreover, insulin and IGF-I similarly reversed atrophy in myelinated sensory axons in the sural nerve. That intrathecal insulin had the capability of signaling sensory neurons was confirmed by observing that fluorescein isothiocyanate-labeled insulin given intrathecally accessed and labeled individual lumbar dorsal root ganglion neurons. Moreover, we confirmed that such neurons express the insulin receptor, as previously suggested by Sugimoto et al. Finally, we sequestered intrathecal insulin in nondiabetic rats using an antiinsulin antibody. Conduction slowing and axonal atrophy resembling the changes in diabetes were generated by anti-insulin but not by an anti-rat albumin antibody infusion. Defective direct signaling of insulin on peripheral neurons through routes that include the cerebrospinal fluid may relate to the development of diabetic peripheral neuropathy.

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The complement system (CS) is an integral part of innate immunity and can be activated via three different pathways. The alternative pathway (AP) has a central role in the function of the CS. The AP of complement system is implicated in several human disease pathologies. In the absence of triggers, the AP exists in a time-invariant resting state (physiological steady state). It is capable of rapid, potent and transient activation response upon challenge with a trigger. Previous models of AP have focused on the activation response. In order to understand the molecular machinery necessary for AP activation and regulation of a physiological steady state, we built parsimonious AP models using experimentally supported kinetic parameters. The models further allowed us to test quantitative roles played by negative and positive regulators of the pathway in order to test hypotheses regarding their mechanisms of action, thus providing more insight into the complex regulation of AP.

Motivation: The complement pathway plays a critical role in innate immune defense against infections. Dysregulation between activation and regulation of the complement pathway is widely known to contribute to several diseases. Nevertheless, very few drugs that target complement proteins have made it to the final regulatory approval because of factors such as high concentrations and dosing requirements for complement proteins and serious side effects from complement inhibition.Methods: A quantitative systems pharmacology (QSP) model of the complement pathway has been developed to evaluate potential drug targets to inhibit complement activation in autoimmune diseases. The model describes complement activation via the alternative and terminal pathways as well as the dynamics of several regulatory proteins. The QSP model has been used to evaluate the effect of inhibiting complement targets on reducing pathway activation caused by deficiency in factor H and CD59. The model also informed the feasibility of developing small-molecule or large-molecule antibody drugs by predicting the drug dosing and affinity requirements for potential complement targets.Results: Inhibition of several complement proteins was predicted to lead to a significant reduction in complement activation and cell lysis. The complement proteins that are present in very high concentrations or have high turnover rates (C3, factor B, factor D, and C6) were predicted to be challenging to engage with feasible doses of large-molecule antibody compounds (≤20 mg/kg). Alternatively, complement fragments that have a short half-life (C3b, C3bB, and C3bBb) were predicted to be challenging or infeasible to engage with small-molecule compounds because of high drug affinity requirements (>1 nM) for the inhibition of downstream processes. The drug affinity requirements for disease severity reduction were predicted to differ more than one to two orders of magnitude than affinities needed for the conventional 90% target engagement (TE) for several proteins. Thus, the QSP model analyses indicate the importance for accounting for TE requirements for achieving reduction in disease severity endpoints during the lead optimization stage.

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The original version of the article unfortunately contained mistakes.One of the schematics (Figure 3) shows a mismatch with the corresponding model equations (C.1). This was due to an error in the schematic.Furthermore, there was a typo in the value of a parameter d 4 in Table 1. The correct value is 0.00016 per min-which was used in the simulations.We acknowledge Biomodels (https://www.ebi.ac.uk/biomodels/) for bringing this to our notice. These changes do not impact the results and conclusions presented in the paper.These two discrepancies have been corrected in this correction.