Methods: Proton nuclear magnetic resonance spectroscopy (1H NMR)-based metabolomics approach was used to investigate fecal and serum metabolome of rat model of IBS-D with and without HPM treatment.
Results: The current results showed that IBS-induced metabolic alterations in fecal and serum sample include higher level of threonine and UDP-glucose together with lower levels of aspartate, ornithine, leucine, isoleucine, proline, 2-hydroxy butyrate, valine, lactate, ethanol, arginine, 2-oxoisovalerate and bile acids. These altered metabolites potentially involve in impaired gut secretory immune system and intestinal inflammation, malabsorption of nutrients, and disordered metabolism of bile acids. Notably, the HPM treatment was found able to normalize the Bristol stool forms scale scores, fecal water content, plasma endotoxin level, and a number of IBS-induced metabolic changes.
Conclusions: These findings may provide useful insight into the molecular basis of IBS and mechanism of the HPM intervention.
RESULTS: Heat and UHP treatments induced the unfolding of DLp to varied degrees, as revealed by fluorescence spectroscopy, ultraviolet-visible absorption, circular dichroism spectra and surface hydrophobicity measurements. Two types of heating-denatured states with varied unfolding degrees were obtained, while UHP at both levels of 100/500 MPa caused partial unfolding of DLp and the presence of a molten-globule state, which significantly enhanced the binding affinity between DLp and (E,E)-2,4-heptadienal. In particular, significantly modified secondary structures of DLp were observed in heating-denatured samples. Excessive denaturing and unfolding degrees resulted in no significant changes in the absorption behavior of the volatile ligand, as characterized by observations of fluorescence quenching and analysis of headspace concentrations.
CONCLUSION: Defining process-induced conformational transition behavior of matrix proteins could be a promising strategy to regulate food flavor attributes and, particularly, to produce DLp coextracted with limited off-flavor components by modifying their interaction during extraction processes. © 2023 Society of Chemical Industry.
METHODS AND MATERIALS: Between October 2007 and May 2016, 106 patients with untreated squamous cell carcinoma of the cervix were enrolled in the present study. Radiation therapy consisted of pelvic irradiation (total dose, 50 Gy in 25 fractions including central shielding), prophylactic paraortic regional irradiation (36-40 Gy in 20 fractions), and either high- or low-dose-rate intracavitary brachytherapy (ICBT) according to institutional practice. The planned point A dose was 21 to 28 Gy in 3 to 4 fractions for high-dose-rate ICBT and 40 to 41 Gy in 1 to 2 fractions for low-dose-rate ICBT. Five cycles of weekly cisplatin (40 mg/m2) were administered during the radiation therapy course.
RESULTS: A total of 106 patients were enrolled. Of these, 9 had major protocol violations and 2 did not receive treatment because of worsened general condition. Thus, 95 patients were evaluable. The median follow-up was 56 months. Of the 95 patients, 76 (80%) received 4 or 5 cycles of chemotherapy. Acute grade 3 leukopenia was observed in 20 of the patients (21%), and late grade 3 gastrointestinal toxicity was observed in 3%. The 2-year local control, progression-free survival, and overall survival rate for all patients were 96%, 78%, and 90%, respectively.
CONCLUSIONS: The results indicated that prophylactic extended-field concurrent chemoradiation therapy using weekly cisplatin is feasible and effective for patients with locally advanced cervical cancer in East and Southeast Asia.
METHODS: The International Society of Global Health (ISoGH) used the Child Health and Nutrition Research Initiative (CHNRI) method to identify research priorities for future pandemic preparedness. Eighty experts in global health, translational and clinical research identified 163 research ideas, of which 42 experts then scored based on five pre-defined criteria. We calculated intermediate criterion-specific scores and overall research priority scores from the mean of individual scores for each research idea. We used a bootstrap (n = 1000) to compute the 95% confidence intervals.
RESULTS: Key priorities included strengthening health systems, rapid vaccine and treatment production, improving international cooperation, and enhancing surveillance efficiency. Other priorities included learning from the coronavirus disease 2019 (COVID-19) pandemic, managing supply chains, identifying planning gaps, and promoting equitable interventions. We compared this CHNRI-based outcome with the 14 research priorities generated and ranked by ChatGPT, encountering both striking similarities and clear differences.
CONCLUSIONS: Priority setting processes based on human crowdsourcing - such as the CHNRI method - and the output provided by ChatGPT are both valuable, as they complement and strengthen each other. The priorities identified by ChatGPT were more grounded in theory, while those identified by CHNRI were guided by recent practical experiences. Addressing these priorities, along with improvements in health planning, equitable community-based interventions, and the capacity of primary health care, is vital for better pandemic preparedness and response in many settings.