Prevalence of late and long-term effects of cancer (treatment) and use of complementary and alternative medicine in Norway

Background The increasing number of patients surviving cancer leads to more people experiencing late and long term-effects from the disease and its treatment. Fatigue, sleep disorders, early menopause, pain, and nerve damage are commonly reported. Methods helping people to recover after cancer treatment are therefore essential. The aims of this study were threefold; (1) to determine the level of cancer patients suffering from late and long-term effects of cancer diagnosis and treatment in Norway, (2) explore complementary and alternative medicine (CAM) modalities used for managing these adversities, and (3) describe self-perceived benefits and harms of the CAM interventions. Methods The study was conducted in cooperation with the Norwegian Cancer Society (NCS) and consisted of an online cross-sectional study among members of the NCS user panel with present or previous cancer (n = 706). The study was carried out in September/October 2021 using a modified cancer-specific version of the International Questionnaire to Measure Use of Complementary and Alternative Medicine (I-CAM-Q). A total of 315 women and 153 men agreed to participate, resulting in a response rate of 67%. Results Most of the participants (83%) suffered from late and long-term effects of cancer treatment; mostly fatigue (59.2%), sleep disorder (41.5%), hot flashes (39.2%), nerve damage (polyneuropathy, 38.0%), and pain (36.6%) with a mean number of 5.1 different late and long-term effects. Late and long-term effects were positively associated with younger age and college/university education. Nearly half of the participants experiencing late and long-term effects (43%) reported having used CAM to treat these complaints. Most frequently used were self-help practices (26%) such as relaxation therapy (19%), yoga (14%) and meditation (13%), but also visits to CAM providers were reported by 22%. Herbal- and other natural remedies to treat late and long-term effects were used by 13%. A high percentage of CAM users reported self-perceived improvements of their symptoms (86% for self-help practices, 90% for visits to CAM providers). Few experienced adverse effects of the CAM treatment. Conclusion A large proportion of cancer patients suffered from a wide range of late and long-term effects of cancer diagnosis and treatment, and they use CAM to treat these complaints to a rather high degree. Relaxation therapy, yoga, meditation, massage, and acupuncture were the most frequently used therapies regardless of complaint. The therapies used are generally considered to be both safe and beneficial for the respective complaint, indicating that the participants seem to be well informed about the choices they make

Demand-Orientated Power Production from Biogas: Modeling and Simulations under Swedish Conditions

The total share of intermittent renewable electricity is increasing, intensifying the need for power balancing in future electricity systems. Demand-orientated combined heat and power (CHP) production from biogas has potential for this purpose. An agricultural biogas plant, using cattle manure and sugar beet for biogas and CHP production, was analyzed here. The model Dynamic Biogas plant Model (DyBiM) was developed and connected to the Anaerobic Digestion Model No. 1 (ADM1). Flexible scenarios were simulated and compared against a reference scenario with continuous production, to evaluate the technical requirements and economic implications of demand-orientated production. The study was set in Swedish conditions regarding electricity and heat price, and the flexibility approaches assessed were increased CHP and gas storage capacity and feeding management. The results showed that larger gas storage capacity was needed for demand-orientated CHP production but that feeding management reduced the storage requirement because of fast biogas production response to feeding. Income from electricity increased by 10%, applying simple electricity production strategies to a doubled CHP capacity. However, as a result of the currently low Swedish diurnal electricity price variation and lack of subsidies for demand-orientated electricity production, the increase in income was too low to cover the investment costs. Nevertheless, DyBiM proved to be a useful modeling tool for assessing the economic outcome of different flexibility scenarios for demand-orientated CHP production

Selective redox regulation of cytokine receptor signaling by extracellular thioredoxin-1

The thiol-disulfide oxidoreductase thioredoxin-1 (Trx1) is known to be secreted by leukocytes and to exhibit cytokine-like properties. Extracellular effects of Trx1 require a functional active site, suggesting a redox-based mechanism of action. However, specific cell surface proteins and pathways coupling extracellular Trx1 redox activity to cellular responses have not been identified so far. Using a mechanism-based kinetic trapping technique to identify disulfide exchange interactions on the intact surface of living lymphocytes, we found that Trx1 catalytically interacts with a single principal target protein. This target protein was identified as the tumor necrosis factor receptor superfamily member 8 (TNFRSF8/CD30). We demonstrate that the redox interaction is highly specific for both Trx1 and CD30 and that the redox state of CD30 determines its ability to engage the cognate ligand and transduce signals. Furthermore, we confirm that Trx1 affects CD30-dependent changes in lymphocyte effector function. Thus, we conclude that receptor–ligand signaling interactions can be selectively regulated by an extracellular redox catalyst

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe