CA4

Generally, taste sensitivity is known to change with age. However, the molecular mechanisms underlying this phenomenon remain unclear. Mammalian taste buds are classified into type I, II, III, and IV cells; among them, type II and III cells have an important role in the taste detection process. We hypothesized that age-related changes in the proportion of taste cell types would be a factor in changes in taste sensitivity. To test this hypothesis, we compared the expression patterns of type II and III cell markers in taste buds obtained from the circumvallate papillae of young and old mice. Gustducin, SEMA3A, PLCβ2, and CAR4 were used as type II and III cell markers, respectively. When we performed double-fluorescence staining using antibodies for these molecules, Gustducin and SEMA3A immune-positive cells were 22.7 ± 1.2% and 27.6 ± 0.9% in young mice and 22.0 ± 0.7% and 25.9 ± 1.1% in old mice, respectively. PLCβ2 and CAR4 immune-positive cells were 30.3 ± 1.5% and 20.7 ± 1.3% in young mice and 29.1 ± 0.8% and 21.1 ± 1.2% in old mice, respectively. There were no significant differences in the percentage of immunopositive cells for all antibodies tested between young and old mice. These results suggest that the proportion of type II and III cells does not change with aging.

Neurons establish specific synapses based on the adhesive properties of cell-surface proteins while also retaining the ability to form synapses in a relatively non-selective manner. However, comprehensive understanding of the underlying mechanism reconciling these opposing characteristics remains incomplete. Here, we have identified Side-IV/Beat-IIb, members of the Drosophila immunoglobulin superfamily, as a combination of cell-surface recognition molecules inducing synapse formation. The Side-IV/Beat-IIb combination transduces bifurcated signaling with Side-IV's co-receptor, Kirre, and a synaptic scaffold protein, Dsyd-1. Genetic experiments and subcellular protein localization analyses showed the Side-IV/Beat-IIb/Kirre/Dsyd-1 complex to have two essential functions. First, it narrows neuronal binding specificity through Side-IV/Beat-IIb extracellular interactions. Second, it recruits synapse formation factors, Kirre and Dsyd-1, to restrict synaptic loci and inhibit miswiring. This dual function explains how the combinations of cell-surface molecules enable the ranking of preferred interactions among neuronal pairs to achieve synaptic specificity in complex circuits in vivo.

The aim was to examine the diagnostic efficacy of hippocampal subregions volume and texture in differentiating amnestic mild cognitive impairment (MCI) from normal aging changes. Ninety MCI subjects and eighty-eight well-matched healthy controls (HCs) were selected. Twelve hippocampal subregions volume and texture features were extracted using Freesurfer and MaZda based on T1 weighted MRI. Then, two-sample t-test and Least Absolute Shrinkage and Selection Operator (LASSO) regression were developed to select a subset of the original features. Support vector machine (SVM) was used to perform the classification task and the area under the curve (AUC), sensitivity, specificity and accuracy were calculated to evaluate the diagnostic efficacy of the model. The volume features with high discriminative power were mainly located in the bilateral CA1 and CA4, while texture feature were gray-level non-uniformity, run length non-uniformity and fraction. Our model based on hippocampal subregions volume and texture features achieved better classification performance with an AUC of 0.90. The volume and texture of hippocampal subregions can be utilized for the diagnosis of MCI. Moreover, we found that the features that contributed most to the model were mainly textural features, followed by volume. These results may guide future studies using structural scans to classify patients with MCI.