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Viral upper respiratory tract infections are a major cause of olfactory loss. Olfactory training (OT) is a promising intervention for smell restoration; however, a mechanistic understanding of the changes in neural plasticity induced by OT is absent.

To evaluate functional brain connectivity in adults with postviral olfactory dysfunction (PVOD) before and after OT using resting-state functional magnetic resonance imaging.

This prospective cohort study, conducted from September 1, 2017, to November 30, 2019, recruited adults with clinically diagnosed or self-reported PVOD of 3 months or longer. Baseline olfaction was measured using the University of Pennsylvania Smell Identification Test (UPSIT) and the Sniffin' Sticks test. Analysis was performed between December 1, 2020, and July 1, 2020.

Participants completed 12 weeks of OT using 4 essential oils rose, eucalyptus, lemon, and clove. The resting-state functional magnetic resonance imaging measurements were obtained before and after intervention.

Th olfactory processing, and the cerebellum.

The use of OT is associated with connectivity changes within the visual cortex. This case-control cohort study suggests that there is a visual connection to smell that has not been previously explored with OT and that further studies examining the efficacy of a bimodal visual and OT program are needed.

The use of OT is associated with connectivity changes within the visual cortex. This case-control cohort study suggests that there is a visual connection to smell that has not been previously explored with OT and that further studies examining the efficacy of a bimodal visual and OT program are needed.Emerging research shows that circular RNA (circRNA) plays a crucial role in the diagnosis, occurrence and prognosis of complex human diseases. Compared with traditional biological experiments, the computational method of fusing multi-source biological data to identify the association between circRNA and disease can effectively reduce cost and save time. Considering the limitations of existing computational models, we propose a semi-supervised generative adversarial network (GAN) model SGANRDA for predicting circRNA-disease association. This model first fused the natural language features of the circRNA sequence and the features of disease semantics, circRNA and disease Gaussian interaction profile kernel, and then used all circRNA-disease pairs to pre-train the GAN network, and fine-tune the network parameters through labeled samples. Finally, the extreme learning machine classifier is employed to obtain the prediction result. Compared with the previous supervision model, SGANRDA innovatively introduced circRNA sequences and utilized all the information of circRNA-disease pairs during the pre-training process. This step can increase the information content of the feature to some extent and reduce the impact of too few known associations on the model performance. SGANRDA obtained AUC scores of 0.9411 and 0.9223 in leave-one-out cross-validation and 5-fold cross-validation, respectively. Prediction results on the benchmark dataset show that SGANRDA outperforms other existing models. In addition, 25 of the top 30 circRNA-disease pairs with the highest scores of SGANRDA in case studies were verified by recent literature. These experimental results demonstrate that SGANRDA is a useful model to predict the circRNA-disease association and can provide reliable candidates for biological experiments.Cytonemes are specialized filopodia that mediate paracrine signaling in Drosophila and other animals. Studies using fluorescence confocal microscopy (CM) established their general paths, cell targets, and essential roles in signaling. To investigate details unresolvable by CM, we used high-pressure freezing and EM to visualize cytoneme structures, paths, contents, and contacts. We observed cytonemes previously seen by CM in the Drosophila wing imaginal disc system, including disc, tracheal air sac primordium (ASP), and myoblast cytonemes, and identified cytonemes extending into invaginations of target cells, and cytonemes connecting ASP cells and connecting myoblasts. Diameters of cytoneme shafts vary between repeating wide (206 ± 51.8 nm) and thin (55.9 ± 16.2 nm) segments. Selleckchem VPS34-IN1 Actin, ribosomes, and membranous compartments are present throughout; rough ER and mitochondria are in wider proximal sections. These results reveal novel structural features of filopodia and provide a basis for understanding cytoneme cell biology and function.Microtubules are dynamic polymers that play fundamental roles in all eukaryotes. Despite their importance, how new microtubules form is poorly understood. Textbooks have focused on variations of a nucleation-elongation mechanism in which monomers rapidly equilibrate with an unstable oligomer (nucleus) that limits the rate of polymer formation; once formed, the polymer then elongates efficiently from this nucleus by monomer addition. Such models faithfully describe actin assembly, but they fail to account for how more complex polymers like hollow microtubules assemble. Here, we articulate a new model for microtubule formation that has three key features (1) microtubules initiate via rectangular, sheet-like structures that grow faster the larger they become; (2) the dominant pathway proceeds via accretion, the stepwise addition of longitudinal or lateral layers; and (3) a "straightening penalty" to account for the energetic cost of tubulin's curved-to-straight conformational transition. This model can quantitatively fit experimental assembly data, providing new insights into biochemical determinants and assembly pathways for microtubule nucleation.Understanding biological function requires the identification and characterization of complex patterns of molecules. Single-molecule localization microscopy (SMLM) can quantitatively measure molecular components and interactions at resolutions far beyond the diffraction limit, but this information is only useful if these patterns can be quantified and interpreted. We provide a new approach for the analysis of SMLM data that develops the concept of structures and super-structures formed by interconnected elements, such as smaller protein clusters. link2 Using a formal framework and a parameter-free algorithm, (super-)structures formed from smaller components are found to be abundant in classes of nuclear proteins, such as heterogeneous nuclear ribonucleoprotein particles (hnRNPs), but are absent from ceramides located in the plasma membrane. We suggest that mesoscopic structures formed by interconnected protein clusters are common within the nucleus and have an important role in the organization and function of the genome. Our algorithm, SuperStructure, can be used to analyze and explore complex SMLM data and extract functionally relevant information.

Insufficient data are available regarding the long-term outcomes and cumulative incidences of toxic effects that are associated with chemoradiotherapy (CRT) for patients with stage III non-small-cell lung cancer.

To evaluate survival and late toxic effects 10 years after patients were treated with curative CRT.

This multicenter, phase 3 West Japan Thoracic Oncology Group (WJTOG) 0105 randomized clinical trial was conducted between September 2001 and September 2005 in Japan. Patients with histologically or cytologically confirmed non-small-cell lung cancer with unresectable stage III disease were assessed for eligibility. Additional data were analyzed from January 2018 to December 2019.

A total of 440 eligible patients were randomly assigned to groups as follows A (control), 4 cycles of mitomycin/vindesine/cisplatin plus thoracic radiotherapy (TRT) of 60 Gy; B, weekly irinotecan/carboplatin for 6 weeks plus TRT of 60 Gy followed by 2 courses of irinotecan/carboplatin consolidation; or C, weekly paclita11.1% in groups A, B, and C, respectively. Grade 3 or 4 late toxic effect rates were 3.4% (heart, 0.7%; lung, 2.7%) in group A, and those only affecting the lung represented 3.4% and 4.1% in groups B and C, respectively. link3 No other cases of late toxic effects (grades 3/4) were observed since the initial report.

In this 10-year follow-up of a phase 3 randomized clinical trial, group C achieved similar efficacy and toxic effect profiles as group A 10 years after initiating treatment. These results serve as a historical control for the long-term comparisons of outcomes of future clinical trials of CRT.

UMIN Clinical Trial Registry UMIN000030811.

UMIN Clinical Trial Registry UMIN000030811.

The opioid crisis creates challenges for cancer pain management. Acupuncture confers clinical benefits for chronic nonmalignant pain, but its effectiveness in cancer survivors remains uncertain.

To determine the effectiveness of electroacupuncture or auricular acupuncture for chronic musculoskeletal pain in cancer survivors.

The Personalized Electroacupuncture vs Auricular Acupuncture Comparative Effectiveness (PEACE) trial is a randomized clinical trial that was conducted from March 2017 to October 2019 (follow-up completed April 2020) across an urban academic cancer center and 5 suburban sites in New York and New Jersey. Study statisticians were blinded to treatment assignments. The 360 adults included in the study had a prior cancer diagnosis but no current evidence of disease, reported musculoskeletal pain for at least 3 months, and self-reported pain intensity on the Brief Pain Inventory (BPI) ranging from 0 (no pain) to 10 (worst pain imaginable).

Patients were randomized 221 to electroacupunctu points; P < .001) from baseline to week 12. Noninferiority of auricular acupuncture to electroacupuncture was not demonstrated. Adverse events were mild; 15 of 143 (10.5%) patients receiving auricular acupuncture and 1 of 145 (0.7%) patients receiving electroacupuncture discontinued treatments due to adverse events (P < .001).

In this randomized clinical trial among cancer survivors with chronic musculoskeletal pain, electroacupuncture and auricular acupuncture produced greater pain reduction than usual care. However, auricular acupuncture did not demonstrate noninferiority to electroacupuncture, and patients receiving it had more adverse events.

ClinicalTrials.gov Identifier NCT02979574.

ClinicalTrials.gov Identifier NCT02979574.The National Academy of Sciences, Engineering, and Medicine (NASEM) recommended steps to redesign the process of developing the Dietary Guidelines for Americans (DGA) are based on 5 guiding principles (enhance transparency; promote diversity of expertise and experience; support a deliberative process; manage biases and conflicts of interest; and adopt state-of-the-art processes and methods). Using these principles and recommendations, the USDA and HHS updated the process for developing the 2020-2025 Dietary Guidelines, including the process for appointing members and managing the work of the 2020 Dietary Guidelines Advisory Committee. Modifications included having public comment on the topics and questions to be addressed by the Federal Advisory Committee, reviewing professional and financial activities on potential appointees to the committee prior to their appointment, redesigning the website to provide status updates on the work of the committee as analytical frameworks and draft conclusions were developed, strengthening the approaches for conducting systematic reviews, and adding a public meeting for discussion of the final report before its submission to the Secretaries of the USDA and HHS.