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PURPOSE: To explore the microstate characteristics and underlying brain network activity of Ménière's disease (MD) patients based on high-density electroencephalography (EEG), elucidate the association between microstate dynamics and clinical manifestation, and explore the potential of EEG microstate features as future neurobiomarkers for MD. METHODS: Thirty-two patients diagnosed with MD and 29 healthy controls (HC) matched for demographic characteristics were included in the study. Dysfunction and subjective symptom severity were assessed by neuropsychological questionnaires, pure tone audiometry, and vestibular function tests. Resting-state EEG recordings were obtained using a 256-channel EEG system, and the electric field topographies were clustered into four dominant microstate classes (A, B, C, and D). The dynamic parameters of each microstate were analyzed and utilized as input for a support vector machine (SVM) classifier to identify significant microstate signatures associated with MD. The clinical significance was further explored through Spearman correlation analysis. RESULTS: MD patients exhibited an increased presence of microstate class C and a decreased frequency of transitions between microstate class A and B, as well as between class A and D. The transitions from microstate class A to C were also elevated. Further analysis revealed a positive correlation between equilibrium scores and the transitions from microstate class A to C under somatosensory challenging conditions. Conversely, transitions between class A and B were negatively correlated with vertigo symptoms. No significant correlations were detected between these characteristics and auditory test results or emotional scores. Utilizing the microstate features identified via sequential backward selection, the linear SVM classifier achieved a sensitivity of 86.21% and a specificity of 90.61% in distinguishing MD patients from HC. CONCLUSIONS: We identified several EEG microstate characteristics in MD patients that facilitate postural control yet exacerbate subjective symptoms, and effectively discriminate MD from HC. The microstate features may offer a new approach for optimizing cognitive compensation strategies and exploring potential neurobiological markers in MD.

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Objectives: A huge population, especially the elderly, suffers from otogenic vertigo. However, the multi-modal vestibular network changes, secondary to periphery vestibular dysfunction, have not been fully elucidated. We aim to identify potential microstate electroencephalography (EEG) signatures for otogenic vertigo in this study. Materials and Methods: Patients with recurrent otogenic vertigo and age-matched healthy adults were recruited. We performed 256-channel EEG recording of all participants at resting state. Neuropsychological questionnaires and vestibular function tests were taken as a measurement of patients' symptoms and severity. We clustered microstates into four classes (A, B, C, and D) and identified their dynamic and syntax alterations of them. These features were further fed into a support vector machine (SVM) classifier to identify microstate signatures for vertigo. Results: We compared 40 patients to 45 healthy adults, finding an increase in the duration of Microstate A, and both the occurrence and time coverage of Microstate D. The coverage and occurrence of Microstate C decreased significantly, and the probabilities of non-random transitions between Microstate A and D, as well as Microstate B and C, also changed. To distinguish the patients, the SVM classifier, which is built based on these features, got a balanced accuracy of 0.79 with a sensitivity of 0.78 and a specificity of 0.8. Conclusion: There are several temporal dynamic alterations of EEG microstates in patients with otogenic vertigo, especially in Microstate D, reflecting the underlying process of visual-vestibular reorganization and attention redistribution. This neurophysiological signature of microstates could be used to identify patients with vertigo in the future.

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T-cell exhaustion was initially identified in chronic infection in mice and was subsequently described in humans with cancer. Although the distinct signature of exhausted T (TEX) cells in cancer has been well investigated, the molecular mechanism of T-cell exhaustion in cancer is not fully understood. Using single-cell RNA sequencing, we report here that TEX cells in esophageal cancer are more heterogeneous than previously clarified. Sprouty RTK signaling antagonist 1 (SPRY1) was notably enriched in two subsets of exhausted CD8+ T cells. When overexpressed, SPRY1 impaired T-cell activation by interacting with CBL, a negative regulator of ZAP-70 tyrosine phosphorylation. Data from the Tumor Immune Estimation Resource revealed a strong correlation between FGF2 and SPRY1 expression in esophageal cancer. High expression of FGF2 was evident in fibroblasts from esophageal cancer tissue and correlated with poor overall survival. In vitro administration of FGF2 significantly upregulated expression of SPRY1 in CD8+ T cells and attenuated T-cell receptor-triggered CD8+ T-cell activation. A mouse tumor model confirmed that overexpression of FGF2 in fibroblasts significantly upregulated SPRY1 expression in TEX cells, impaired T-cell cytotoxic activity, and promoted tumor growth. Thus, these findings identify FGF2 as an important regulator of SPRY1 expression involved in establishing the dysfunctional state of CD8+ T cells in esophageal cancer. SIGNIFICANCE: These findings reveal FGF2 as an important regulator of SPRY1 expression involved in establishing the dysfunctional state of CD8+ T cells and suggest that inhibition of FGF2 has potential clinical value in ESCC. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/80/24/5583/F1.large.jpg.

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Purpose: To evaluate morphologic changes of lens regeneration in rats in vivo after extracapsular lens extraction (ECLE) by ultra-long scan depth optical coherence tomography (UL-OCT). Methods: A total of 42 Sprague-Dawley rats were used in this study. We performed ECLE on the right eyes of animals in the surgery group (n = 34). Biomicroscopy and UL-OCT scans were carried out for the surgery group immediately (within 1 hour postoperatively) and at days 1 and 3, weeks 1 and 2, and months 1, 2, and 3 postoperatively. After in vivo examination, three animals of the surgery group were euthanized at each time point for histology study, while the other 10 animals were examined continuously at those time points. The regenerated lens was evaluated in OCT images at 2 and 3 months postoperatively. The control group consisted of eight untreated rats that had OCT examination at the age of 5 months. Results: Lens regeneration could be observed from 2 weeks postoperatively. Regeneration was mainly at the peripheral capsular bag in the first month and central region thereafter. The average thickness of regenerated lenses was 2222 ± 309 and 2324 ± 352 µm at 2 and 3 months, respectively. Regeneration was faster in the first 2 months and slowed down thereafter. Although anterior capsule opening and posterior capsule adhesion and wrinkling existed, the regenerated lens still could form a relatively regular shape, however, the size was much smaller than that of the normal lenses from rats with the same age. Conclusions: Ultra-long OCT provides longitudinal data of the process of lens regeneration on a single individual rat in vivo, which may allow one to follow and compare the lens regenerative process under different interventions or therapy after ECLE in rats.

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The abundant accumulation of inclusion bodies containing polyglutamine-expanded mutant huntingtin (mHTT) aggregates is considered as the key pathological event in Huntington's disease (HD). Here, we demonstrate that FKBP12, an isomerase that exhibits reduced expression in HD, decreases the amyloidogenicity of mHTT, interrupts its oligomerization process, and structurally promotes the formation of amorphous deposits. By combining fluorescence-activated cell sorting with multiple biophysical techniques, we confirm that FKBP12 reduces the amyloid property of these ultrastructural-distinct mHTT aggregates within cells. Moreover, the neuroprotective effect of FKBP12 is demonstrated in both cellular and nematode models. Finally, we show that FKBP12 also inhibit the fibrillization process of other disease-related and aggregation-prone peptides. Our results suggest a novel function of FKBP12 in ameliorating the proteotoxicity in mHTT, which may shed light on unraveling the roles of FKBP12 in different neurodegenerative diseases and developing possible therapeutic strategies.

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OBJECTIVE: To investigate the possibility of transdifferentiation of adipose mesenchymal stem cells (AMSCs) into hepatocytes. METHODS: Human omentum adipose tissue was dispersed with collagenase I. Cells collected were cultured in a DMEM-F12 medium containing 2% FBS supplemented with 20 ng/ml HGF, 10 ng/ml FGF4, 1xITS and 0.1 micromol/L dexasmison. The cells of the control group were also cultured in the same kind of medium but without any cytokines serving as a control. The expression of hepatic transcriptional factors such as GATA4 and HNF1 were checked by RT-PCR. At the end of the induction, hepatocyte markers were analysed by flow cytometry, and cytokeratin expressions were examined using cyto-immunofluorescence methods. RESULTS: AMSCs grew like fibroblasts and were passaged easily. Most of the third passaged AMSCs were positive against anti-CD29, anti-CD44 antibodies, but negative for the anti-CD34 and anti-CD45 ones. The hepatic transcriptional factor was expressed gradually to higher levels during the induction time. AFP and Alb positive cells were 30.0% and 17.8% of the total cultured cells, and the rate of cells positive to the two markers was 6.9%. The inducted cells were positive for CK18 and CK19 antibodies at the end of the induction. The cells in the control group were negative when checked by these methods. CONCLUSIONS: AMSCs could be directed to differentiate into hepatocytes in vitro by a cytokine cocktail with a low concentration FBS culture system.

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