Academic research plays a key role in identifying new drug targets, including understanding target biology and links between targets and disease states. To lead to new drugs, however, research must progress from purely academic exploration to the initiation of efforts to identify and test a drug candidate in clinical trials, which are typically conducted by the biopharma industry. This transition can be facilitated by a timely focus on target assessment aspects such as target-related safety issues, druggability and assayability, as well as the potential for target modulation to achieve differentiation from established therapies. Here, we present recommendations from the GOT-IT working group, which have been designed to support academic scientists and funders of translational research in identifying and prioritizing target assessment activities and in defining a critical path to reach scientific goals as well as goals related to licensing, partnering with industry or initiating clinical development programmes. Based on sets of guiding questions for different areas of target assessment, the GOT-IT framework is intended to stimulate academic scientists’ awareness of factors that make translational research more robust and efficient, and to facilitate academia–industry collaboration.

Chemotherapy-induced peripheral neuropathic pain (CIPNP) is a severe dose-and therapy-limiting side effect of widely used cytostatics that is particularly difficult to treat. Here, we report increased expression of the cytochrome-P 450 -epoxygenase CYP2J6 and increased concentrations of its linoleic acid metabolite 9,10-EpOME (9,10-epoxy-12Z-octadecenoic acid) in dorsal root ganglia (DRGs) of paclitaxeltreated mice as a model of CIPNP. The lipid sensitizes TRPV1 ion channels in primary sensory neurons and causes increased frequency of spontaneous excitatory postsynaptic currents in spinal cord nociceptive neurons, increased CGRP release from sciatic nerves and DRGs, and a reduction in mechanical and thermal pain hypersensitivity. In a drug repurposing screen targeting CYP2J2, the human ortholog of murine CYP2J6, we identified telmisartan, a widely used angiotensin II receptor antagonist, as a potent inhibitor. In a translational approach, administration of telmisartan reduces EpOME concentrations in DRGs and in plasma and reverses mechanical hypersensitivity in paclitaxeltreated mice. We therefore suggest inhibition of CYP2J isoforms with telmisartan as a treatment option for paclitaxel-induced neuropathic pain.chemotherapy-induced neuropathy | neuropathic pain | TRPV1 | telmisartan | oxidized lipids R ecent studies identified members of the transient receptor potential-family of ion channels (TRPV1, TRPA1, and TRPV4) as contributors to both mechanical and cold allodynia during oxaliplatin and paclitaxel-induced neuropathy (1-5). Activation or sensitization of TRPV1 and TRPA1 can lead to enhanced release of CGRP and substance P, both of which can cause neurogenic inflammation and recruitment of T cells (6, 7).However, it remains unclear which endogenous mediators are involved in paclitaxel-dependent activation or sensitization of TRP channels, as paclitaxel cannot directly activate TRP channels (4,5,8). Interestingly, paclitaxel is an inducer of some Cytochrome-P 450 epoxygenases (e.g., CYP2C8, CYP2C9) (9). CYP epoxygenases can metabolize ω-6 fatty acids, such as arachidonic acid (AA) and linoleic acid (LA), generating either lipid epoxides such as EETs (epoxyeicosatrienoid acids) or ω-hydroxides such as 20-hydroxyeicosatetraenoic acid (20-HETE) (10, 11).Although therapeutic alternatives exist, paclitaxel is still the preferred first line of therapy for metastatic breast cancer (12), causing severe CIPNP in many treated patients. Here, we performed liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based lipid profiling of sciatic nerve, dorsal root ganglion (DRG), and dorsal horn tissue from paclitaxel-treated mice.We identified 9,10-EpOME (9,10-epoxy-12Z-octadecenoic acid), a CYP metabolite of LA, to be strongly synthesized in DRGs 24 h and 8 d after paclitaxel injection in mice. 9,10-EpOME is capable of sensitizing TRPV1 at submicromolar concentrations via a cAMP-PKA-dependent mechanism, causing enhanced frequency of spontaneous excitatory postsynaptic currents (sEPSCs) in lamina II neurons of the spin...

While high risk of failure is an inherent part of developing innovative therapies, it can be reduced by adherence to evidence-based rigorous research practices. Numerous analyses conducted to date have clearly identified measures that need to be taken to improve research rigor. Supported through the European Union's Innovative Medicines Initiative, the EQIPD consortium has developed a novel preclinical research quality system that can be applied in both public and private sectors and is free for anyone to use. The EQIPD Quality System was designed to be suited to boost innovation by ensuring the generation of robust and reliable preclinical data while being lean, effective and not becoming a burden that could negatively impact the freedom to explore scientific questions. EQIPD defines research quality as the extent to which research data are fit for their intended use. Fitness, in this context, is defined by the stakeholders, who are the scientists directly involved in the research, but also their funders, sponsors, publishers, research tool manufacturers and collaboration partners such as peers in a multi-site research project. The essence of the EQIPD Quality System is the set of 18 core requirements that can be addressed flexibly, according to user-specific needs and following a user-defined trajectory. The EQIPD Quality System proposes guidance on expectations for quality-related measures, defines criteria for adequate processes (i.e., performance standards) and provides examples of how such measures can be developed and implemented. However, it does not prescribe any pre-determined solutions. EQIPD has also developed tools (for optional use) to support users in implementing the system and assessment services for those research units that successfully implement the quality system and seek formal accreditation. Building upon the feedback from users and continuous improvement, a sustainable EQIPD Quality System will ultimately serve the entire community of scientists conducting non-regulated preclinical research, by helping them generate reliable data that are fit for their intended use.

Good science in translational research requires good animal welfare according to the principles of 3Rs. In many countries, determining animal welfare is a mandatory legal requirement, implying a categorization of animal suffering, traditionally dominated by subjective scorings. However, how such methods can be objectified and refined to compare impairments between animals, subgroups, and animal models remained unclear. Therefore, we developed the RELative Severity Assessment (RELSA) procedure to establish an evidence-based method based on quantitative outcome measures such as body weight, burrowing behavior, heart rate, heart rate variability, temperature, and activity to obtain a relative metric for severity comparisons. The RELSA procedure provided the necessary framework to get severity gradings in TM-implanted mice, yielding four distinct RELSA thresholds L1<0.27, L2<0.59, L3<0.79, and L4<3.45. We show further that severity patterns in the contributing variables are time and model-specific and use this information to obtain contextualized between animal-model and subgroup comparisons with the severity of sepsis > surgery > restraint stress > colitis. The bootstrapped 95% confidence intervals reliably show that RELSA estimates are conditionally invariant against missing information but precise in ranking the quantitative severity information to the moderate context of the transmitter-implantation model. In conclusion, we propose the RELSA as a validated tool for an objective, computational approach to comparative and quantitative severity assessment and grading. The RELSA procedure will fundamentally improve animal welfare, data quality, and reproducibility. It is also the first step toward translational risk assessment in biomedical research.