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Age and formation conditions of anatase from the Bavarian Pfahl giant quartz vein, Germany
Bumblebees learn to use antennal and tarsal taste to predict the presence of nectar rewards in flowers
Learning cues such as tastes associated with palatable food is an important mechanism animals have for foraging optimally. Insects can use gustatory receptor neurons (GRNs) in their mouthparts to detect nutrients and toxins, but they also taste compounds using sensilla on other organs such as their antennae and tarsi. Bees are adept at learning to associate floral traits with the presence of nectar rewards, but few studies have examined how they incorporate gustatory information from their antennae or tarsi detected on flower surfaces. Here, we characterize the ability of bumblebees (Bombus terrestris) to taste sugar, salt and bitter compounds using their antennae and then tested whether they could use this sensory information to associate it with rewarding artificial floral displays. We show that bumblebees have antennal GRNs sensitive to sugars, salts and bitter compounds and can use surface chemistry differences detected by their antennae and/or tarsi to learn about the presence or absence of flower rewards in a free-flight assay. Naïve bumblebees showed no detected spontaneous preferences toward or against any surface chemistry tested. Bumblebees performed best when sucrose surface cues were associated with rewards, but they could learn to associate any cue with the presence or absence of sucrose solution. Interestingly, the bees found it more difficult to associate quinine surface chemistry with the presence of reward than its absence. These results indicate that bees have the potential to learn to associate another floral trait – chemicals on the surfaces of petals – with the quality of floral rewards
Delayed Chemotherapy-Induced Nausea – A Nurse-Led International Observational Study in Routine Oncology Practice (CINrate)
Neuronal mechanisms underlying binaural performance with cochlear implant in single-sided deafness: a [15O]water PET study
ROMO1 as a diagnostic biomarker in cervical neoplasia: evidence from normal, pre-invasive, and invasive lesions
Background: Cervical cancer (CC) is the fourth most common malignancy in women around the world, with more than 600,000 new cases registered in 2022 and around 350,000 deaths. It is a growing social problem, especially in developing countries. Almost all cases of cervical cancer are caused by persistent infection with oncogenic high-risk human papillomavirus (HPV). This malignancy usually exhibits a gradual development through well-defined precursor stages, known as cervical intraepithelial neoplasia (CIN) grades 1, 2, and 3, before evolving into invasive carcinoma. In diagnostic practice, several biomarkers have been implemented to improve the detection of high-risk cervical lesions. p16 and Ki-67 greatly aid in identifying HPV-driven dysplasia, but they cannot always reliably distinguish progressive lesions from regressive or transient HPV infections. These limitations highlight the need for novel biomarkers with better predictive accuracy to complement current screening and diagnostic algorithms. ROMO1 has become a possible marker of a high-ROS, high-risk tumor phenotype in a number of cancers. Although oxidative stress, HPV, and cervical carcinogenesis have been linked, nothing is known about ROMO1’s involvement in cervical neoplasia. There is currently a lack of thorough information regarding the expression of ROMO1 in normal vs. precancerous lesions and in cervical cancer, as well as on whether or not its expression is correlated with the severity of the disease. In order to define ROMO1 expression throughout the course of cervical squamous neoplastic development, the current study was created. Methods: We performed immunohistochemical analysis of ROMO1 expression on cervical tissue samples from three groups: healthy cervix (n = 30), cervical intraepithelial neoplasia (CIN) (n = 41), and invasive cervical carcinoma (n = 205). ROMO1 expression in invasive carcinoma was evaluated using an H-score scale. Results: ROMO1 expression was basal in all normal cervix samples (0/30 cases). In contrast, CIN lesions showed 100% ROMO1 expression in the suprabasal layers of abnormal cells in all CIN cases. In invasive cervical carcinomas, ROMO1 expression was heterogeneous. In our cancer cohort (n = 205), ROMO1 H-score showed no significant association with the following: FIGO stage I vs. II vs. III (p = 0.25); histologic grade G1 vs. G2 vs. G3 (p = 0.46); lymphovascular invasion (no vs. yes; p = 0.80); nodal status N0 vs. N1 (p = 0.67); patient age (≤50 y vs. >50 y; p = 0.38). However, ROMO1 expression did vary by histologic subtype (AC vs. ASC vs. SCC; p = 0.02), with SCC enriched for strong staining compared to AC/ASC. With regard to tumor stage (pT stage), pT2a tumors exhibited significantly lower ROMO1 (pT1b1–pT2b; p = 0.035) than pT1b1 (p = 0.04). No other clinicopathologic variable remained significant. Notably, ROMO1 expression was highest in stage I tumors and declined in more advanced stages of cervical carcinoma. Conclusions: These results show a clear pattern of ROMO1 expression across the cervical neoplasia spectrum: it is attenuated in invasive tumors (with a peak in early-stage illness), significantly raised in pre-cancerous CIN lesions, and negligible in normal epithelium. The idea that oxidative stress may be the primary cause of early malignant transformation in the cervix is supported by the noticeable overexpression of ROMO1 in early lesions. For the detection of early-stage cervical carcinoma and high-grade precancerous lesions, ROMO1 may be a useful auxiliary biomarker