Interleukin-17A is involved in mechanical hyperalgesia but not in the severity of murine antigen-induced arthritis.

Interleukin-17A (IL-17A) is considered an important pro-inflammatory cytokine but its importance in joint diseases such as rheumatoid arthritis (RA) is unclear. It has also been reported that IL-17A may induce pain but it is unclear whether pro-inflammatory and pro-nociceptive effects are linked. Here we studied in wild type (WT) and IL-17A knockout (IL-17AKO) mice inflammation and hyperalgesia in antigen-induced arthritis (AIA). We found that the severity and time course of AIA were indistinguishable in WT and IL-17AKO mice. Furthermore, the reduction of inflammation by sympathectomy, usually observed in WT mice, was preserved in IL-17AKO mice. Both findings suggest that IL-17A is redundant in AIA pathology. However, in the course of AIA IL-17AKO mice showed less mechanical hyperalgesia than WT mice indicating that IL-17A contributes to pain even if it is not crucial for arthritis pathology. In support for a role of IL-17A and other members of the IL-17 family in the generation of pain we found that sensory neurones in the dorsal root ganglia (DRG) express all IL-17 receptor subtypes. Furthermore, in isolated DRG neurones most IL-17 isoforms increased tetrodotoxin- (TTX-) resistant sodium currents which indicate a role of IL-17 members in inflammation-evoked sensitization of sensory nociceptive neurones.

Pseudo-HE images derived from CARS/TPEF/SHG multimodal imaging in combination with Raman-spectroscopy as a pathological screening tool.

BACKGROUND: Due to the steadily increasing number of cancer patients worldwide the early diagnosis and treatment of cancer is a major field of research. The diagnosis of cancer is mostly performed by an experienced pathologist via the visual inspection of histo-pathological stained tissue sections. To save valuable time, low quality cryosections are frequently analyzed with diagnostic accuracies that are below those of high quality embedded tissue sections. Thus, alternative means have to be found that enable for fast and accurate diagnosis as the basis of following clinical decision making. METHODS: In this contribution we will show that the combination of the three label-free non-linear imaging modalities CARS (coherent anti-Stokes Raman-scattering), TPEF (two-photon excited autofluorescence) and SHG (second harmonic generation) yields information that can be translated into computational hematoxylin and eosin (HE) images by multivariate statistics. Thereby, a computational HE stain is generated resulting in pseudo-HE overview images that allow for identification of suspicious regions. The latter are analyzed further by Raman-spectroscopy retrieving the tissue's molecular fingerprint. RESULTS: The results suggest that the combination of non-linear multimodal imaging and Raman-spectroscopy possesses the potential as a precise and fast tool in routine histopathology. CONCLUSIONS: As the key advantage, both optical methods are non-invasive enabling for further pathological investigations of the same tissue section, e.g. a direct comparison with the current pathological gold-standard.