A polarization image enhancement method for glioma.

Polarization imaging technique (PIT) based on a backward scattering 3 × 3 Mueller matrix polarization imaging experimental setup is able to study the optical information and microstructure of glioma and non-glioblastoma tissues from clinical treatment. However, the image contrast of Mueller Matrix Elements (MME) is far from sufficient to provide supplemental information in the clinic, especially in off-diagonal MME. The aim of this work is to propose an innovative method to improve the contrast and quality of PIT images of glioma and non-glioma tissues. The work first confirms the robustness of the method by evaluating the enhanced images and assessment coefficients on ex vivo unstained glioma and non-glioma sample bulks, then the optimal enhancement results are tested and presented based on the multi-sample tests. This PIT image enhancement method can greatly improve the contrast and detailed texture information of MMEs images, which can provide more useful clinical information, and further be used to identify glioma and residues in the intraoperative environment with PIT.

Discovering Glioma Tissue through Its Biomarkers' Detection in Blood by Raman Spectroscopy and Machine Learning.

The most commonly occurring malignant brain tumors are gliomas, and among them is glioblastoma multiforme. The main idea of the paper is to estimate dependency between glioma tissue and blood serum biomarkers using Raman spectroscopy. We used the most common model of human glioma when continuous cell lines, such as U87, derived from primary human tumor cells, are transplanted intracranially into the mouse brain. We studied the separability of the experimental and control groups by machine learning methods and discovered the most informative Raman spectral bands. During the glioblastoma development, an increase in the contribution of lactate, tryptophan, fatty acids, and lipids in dried blood serum Raman spectra were observed. This overlaps with analogous results of glioma tissues from direct Raman spectroscopy studies. A non-linear relationship between specific Raman spectral lines and tumor size was discovered. Therefore, the analysis of blood serum can track the change in the state of brain tissues during the glioma development.

Sudan Black B treatment for reducing autofluorescence in human glioma tissue and improving fluorescent signals of bacterial LPS staining.

The 3D visualization based on tissue clearing technology allows us to have a deeper understanding of the 3D spatial information of deep molecules in the tissue. Tissue clearing and bacterial labeling methods have been used for in situ 3D microbiota imaging, and we have developed a pipeline for 3D visualization of in situ microbiota in human gliomas. Anti-LPS antibodies are appropriate to label and characterize bacteria in situ within tumors. However, autofluorescence (AF) is common in biological tissues, especially in brain tissues filled with lipofuscin-like (LF) substances. This natural fluorescent signal is usually considered to be a problem because it affects the 3D visualization of fluorescent signals in bacterial LPS staining. Here, we used Sudan Black B (SBB) to mask the AF of human glioma tissue and explored in detail the optimal quencher concentration, which allows 3D visualization of intratumoral bacteria to reduce AF and maintain the intensity of intratumoral bacteria-specific LPS fluorescent signals.

Frozen tissue preparation for high-resolution multiplex histological analyses of human brain specimens.

The availability of a comprehensive tissue library is essential for elucidating the function and pathology of human brains. Considering the irreplaceable status of the formalin-fixation-paraffin-embedding (FFPE) preparation in routine pathology and the advantage of ultra-low temperature to preserve nucleic acids and proteins for multi-omics studies, these methods have become major modalities for the construction of brain tissue libraries. Nevertheless, the use of FFPE and snap-frozen samples is limited in high-resolution histological analyses because the preparation destroys tissue integrity and/or many important cellular markers. To overcome these limitations, we detailed a protocol to prepare and analyze frozen human brain samples that is particularly suitable for high-resolution multiplex immunohistological studies. As an alternative, we offered an optimized procedure to rescue snap-frozen tissues for the same purpose. Importantly, we provided a guideline to construct libraries of frozen tissue with minimal effort, cost and space. Taking advantage of this new tissue preparation modality to nicely preserve the cellular information that was otherwise damaged using conventional methods and to effectively remove tissue autofluorescence, we described the high-resolution landscape of the cellular composition in both lower-grade gliomas and glioblastoma multiforme samples. Our work showcases the great value of fixed frozen tissue in understanding the cellular mechanisms of CNS functions and abnormalities.

Expression of HMGB1 in glioma tissue of glioma-related epilepsy and epileptic seizures / 中国神经精神疾病杂志

Objective To explore expression of HMGB1 in glioma tissue of glioma-related epilepsy patients. Methods Immunohistochemistry was used to detect the expression of HMGB1 in the tissues from 82 glioma-related epi?lepsy patients (glioma-related epilepsy group), 80 glioma patients (glioma without epilepsy group), 80 intractable epilepsy patients (epilepsy control group) epileptogenic foci tissue and 20 normal controls (negative control group). Results HMGB1 in glioma tissue of glioma-related epilepsy group was significantly higher than that in glioma tissue of glioma without epilepsy grou p (χ2=16.944, P<0.001), especially in low pathological grade glioma tissue. HMGB1 was higher in glioma tissue of glioma-related epilepsy group than in epileptogenic foci tissue of epilepsy control group (χ2=26.094, P<0.001). Expression of HMGB1 in glioma tissue of glioma without epilepsy group (χ2=32.273, P<0.001) and epileptogenic foci tissue of epilepsy control group ( χ2=22.236,P<0.001) was higher than in normal brain tissue of negative control group. In glioma-related epilepsy group, HMGB1 was positively correlated with seizures duration(r=0.365,P=0.001), sei? zures frequency (r=0.531,P=0.000) and pathological grade of glioma tissue (r=0.265,P=0.016). Conclusions HMGB1 is highly expressed in glioma tissues of glioma-related epilepsy; HMGB1 expression is closely related with seizures; and HMGB1 in glioma tissue may contribute to the formation of glioma-related epilepsy.

Tissue Microarray Technique in Human Brain Gliomas / 中国康复理论与实践

@#Objective To investigate the application of tissue microarray (TMA) technique in human brain gliomas. Methods The TMAs containing 50 glioma specimens of all pathological grades were constructed. The immunohistochemistry and in situ hybridization techniques were used to detect the expressions of Ki-67, mutant P53 protein and wild-type p53 mRNA. Results The expression of Ki-67 was significantly associated with the pathological grades (P<0.05). There was significant correlation between the expression of mutant P53 protein and wild-type p53 mRNA (P<0.001), as well as p53 mutation and Ki-67 (P<0.05). Conclusion It's feasible and valuable to utilize TMA technique in research on human brain gliomas.