Possible mechanism of CHI3L1 promoting tonsil lymphocytes proliferation in children with obstructive sleep apnea syndrome

Elevated cerebrospinal fluid YKL-40 levels in patients with anti-gamma-aminobutyric- acid-B receptor encephalitis

OBJECTIVE

Anti-gamma-aminobutyric-acid-B receptor (GABAbR) encephalitis is a rare form of autoimmune encephalitis. Until now, there are few biomarkers that can indicate the severity and prognosis of patients with anti-GABAbR encephalitis. The objective of this study was to exam the changes of chitinase-3-like protein 1 (YKL-40) in patients with anti-GABAbR encephalitis. In addition, whether YKL-40 could indicate the disease severity was also evaluated.

METHODS

The clinical features of 14 patients with anti-GABAbR encephalitis and 21 patients with anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis were retrospectively studied. YKL-40 levels in serum and cerebral fluid (CSF) of patients were detected by enzyme-linked immunosorbent assay. The correlation of modified Rankin Scale (mRS) score of encephalitis patients and YKL40 levels were analyzed.

RESULTS

YKL-40 levels in CSF were significantly higher in patients with anti-GABAbR encephalitis or anti-NMDAR encephalitis than those in controls. YKL-40 levels between these two encephalitis groups were not different. Moreover, YKL-40 levels in CSF from patients with anti-GABAbR encephalitis were positively correlated with the mRS score at admission and at 6-month follow-up.

CONCLUSION

YKL-40 level is elevated in CSF from patients with anti-GABAbR encephalitis at early disease stage. YKL-40 may be a potential biomarker indicating the prognosis of patients with anti-GABAbR encephalitis.

A simple preparation step to remove excess liquid lipids in white adipose tissue enabling improved detection of metabolites via MALDI-FTICR imaging MS

Matrix-assisted laser desorption ionization (MALDI) Fourier transform ion cyclotron resonance (FTICR) imaging mass spectrometry (MS) is a powerful technology used to analyze metabolites in various tissues. However, it faces significant challenges in studying adipose tissues. Poor matrix distribution and crystallization caused by excess liquid lipids on the surface of tissue sections hamper m/z species detection, an adverse effect that particularly presents in lipid-rich white adipose tissue (WAT). In this study, we integrated a simple and low-cost preparation step into the existing MALDI-FTICR imaging MS pipeline. The new method—referred to as filter paper application—is characterized by an easy sample handling and high reproducibility. The aforementioned filter paper is placed onto the tissue prior to matrix application in order to remove the layer of excess liquid lipids. Consequently, MALDI-FTICR imaging MS detection was significantly improved, resulting in a higher number of detected m/z species and higher ion intensities. After analyzing various durations of filter paper application, 30 s was found to be optimal, resulting in the detection of more than 3700 m/z species. Apart from the most common lipids found in WAT, other molecules involved in various metabolic pathways were detected, including nucleotides, carbohydrates, and amino acids. Our study is the first to propose a solution to a specific limitation of MALDI-FTICR imaging MS in investigating lipid-rich WAT. The filter paper approach can be performed quickly and is particularly effective for achieving uniform matrix distribution on fresh frozen WAT while maintaining tissue integrity. It thus helps to gain insight into the metabolism in WAT.