bluuebunny/crossref_metadata_2025_split huggingface dataset:
Involving different stakeholders in prioritising outcomes to assess healthcare systems response for type 1 diabetes management: Using co‐creation approaches in Peru
Authors: Zafra‐Tanaka Jessica Hanae , Almeida Guillermo , Andrade Montalvo Jackelyn Elizabeth , Anza‐Ramirez Cecilia , Jauregui Josselyn , Perez‐Leon Silvana , Lazo‐Porras Maria , Mayo‐Puchoc Nikol , Taype‐Rondán Alvaro , Miranda J. Jaime , Beran David 
Published: July 2024

AbstractBackgroundEngaging diverse stakeholders in developing core outcome sets (COSs) can produce more meaningful metrics as well as research responsive to patient needs. The most common COS prioritisation method, Delphi surveys, has limitations related to selection bias and participant understanding, while qualitative methods like group discussions are less frequently used. This study aims to test a co‐creation approach to COS development for type 1 diabetes (T1DM) in Peru.MethodsUsing a co‐creation approach, we aimed to prioritise outcomes for T1DM management in Peru, incorporating perspectives from people with T1DM, caregivers, healthcare professionals, and decision‐makers. A set of outcomes were previously identified through a systematic review and qualitative evidence synthesis. Through qualitative descriptive methods, including in‐person workshops, each group of stakeholders contributed to the ranking of outcomes. Decision‐makers also discussed the feasibility of measuring these outcomes within the Peruvian healthcare system.ResultsWhile priorities varied among participant groups, all underscored the significance of monitoring healthcare system functionality over mortality. Participants recognized the interconnected nature of healthcare system performance, clinical outcomes, self‐management, and quality of life. When combining the rankings from all the groups, metrics related to economic impact on the individual and structural support, policies promoting health, and protecting those living with T1DM were deemed more important in comparison to measuring clinical outcomes.ConclusionWe present the first COS for T1DM focused on low‐and‐middle‐income countries and show aspects of care that are relevant in this setting. Diverse prioritisation among participant groups underscores the need of inclusive decision‐making processes. By incorporating varied perspectives, healthcare systems can better address patient needs and enhance overall care quality.
The comparison of effectiveness of acupressure on Spleen 6 and Hugo points on the severity of postpartum pain: A randomized clinical trial
Authors: Maleki Saba Mohamadghasem‐Nejad , Heydarpour Sousan , Nikrai Rojin , Heydarpour Fateme 
Published: July 2024

AbstractBackground and aimsPostpartum pain poses a significant challenge for new mothers. Various nonpharmacological methods are employed to manage postpartum pain. This study aimed to compare the effectiveness of acupressure on Spleen 6 and Hugo points on the severity of postpartum pain.MethodsIn this parallel randomized trial study, 68 eligible primiparous women who had vaginal deliveries and experienced postpartum pain at Farabi Hospital in Malekan (a city in East Azarbaijan Province in Iran) were selected according to inclusion/exclusion criteria and then allocated to the Hugo (n = 34) and Spleen 6 (n = 34) acupressure groups using a randomized block design (six blocks). The data collection process took place from November 2022 to April 2023. The participants were blinded; however, the analysts and investigators were not blinded. Acupressure interventions were applied bilaterally for 20 min, consisting of 10 s of pressure followed by 2 s of rest. Pain intensity was assessed using a visual pain scale before, immediately after, and 1 h after the intervention. In total, 68 participants fulfilled the study. Data were analyzed using Statistical Package for the Social Sciences version 25 with chi‐square, Mann–Whitney, and Friedman tests.ResultsBoth groups exhibited a statistically significant reduction in postpartum pain intensity across all periods (p < 0.001). Although there was a significant difference in pain intensity between the groups before the intervention (p = 0.039), this distinction was not observed immediately and 1 h after the intervention (p ≥ 0.05). Both Hugo and Spleen's 6 acupressure interventions reduced postpartum pain intensity. No significant adverse events or side effects were observed.ConclusionAcupressure on Spleen 6 and Hugo points helped decrease the severity of postpartum pain in primiparous women who had vaginal deliveries. Healthcare providers are encouraged to consider acupressure for postpartum pain management.
Urine metabolomics signature reveals novel determinants of adrenal suppression in children taking inhaled corticosteroids to control asthma symptoms
Authors: Tran Dung T. , Chen Yulu , Zheng Yi , Hecker Julian , Hawcutt Daniel B. , Pirmohamed Munir , Lasky‐Su Jessica , Wu Ann C. , Tantisira Kelan G. , McGeachie Michael J. , Weiss Scott T. , Dahlin Amber 
Published: July 2024

AbstractBackgroundAsthma is routinely treated with inhaled corticosteroids (ICS). Asthma patients on ICS are at increased risk of adrenal suppression, a potentially serious effect of long‐term glucocorticoid exposure; however, this relationship is poorly understood. Therefore, this study aims to identify metabolite biomarkers related to adrenal suppression in asthma patients taking ICS.MethodsA total of 571 urine metabolites from 200 children with asthma on ICS in the Pharmacogenetics of Adrenal Suppression with Inhaled Steroids (PASS) cohort were profiled. Samples were grouped by peak plasma cortisol measurement as adrenal sufficient (>350 nmol/L) or insufficient (≤350 nmol/L) (outcome). Regression and discriminant‐based statistical models combined with network analyses were utilized to assess relationships between metabolites and the outcome. Finally, prioritized metabolites were validated using data from an ancillary study of the Childhood Asthma Management (CAMP) cohort with similar characteristics to PASS.ResultsNinety metabolites were significantly associated with adrenal suppression, of which 57 also could discriminate adrenal status. While 26 metabolites (primarily steroids) were present at lower levels in the adrenal insufficient patients, 14 were significantly elevated in this group; the top metabolite, mannitol/sorbitol, was previously associated with asthma exacerbations. Network analyses identified unique clusters of metabolites related to steroids, fatty acid oxidation, and nucleoside metabolism, respectively. Four metabolites including urocanic acid, acetylcarnitine, uracil, and sorbitol were validated in CAMP cohort for adrenal suppression.ConclusionsUrinary metabolites differ among asthma patients on ICS, by adrenal status. While steroid metabolites were reduced in patients with poor adrenal function, our findings also implicate previously unreported metabolites involved in amino acid, lipid, and nucleoside metabolism.
Associations between gut microbiota and chronic sinusitis: A bidirectional Mendelian randomization study
Authors: Pu Kunlin , Zhang Zhipeng , Li Li 
Published: July 2024

AbstractBackgroundStudies have indicated a close association between dysbiosis of the gut microbiota and chronic sinusitis. However, the causal relationship between the gut microbiota and the risk of chronic sinusitis remains unclear.MethodsUsing genome‐wide association study (GWAS) data for the gut microbiota and chronic sinusitis, we conducted a two‐sample Mendelian randomization (MR) study to determine the potential causal relationship between the microbiota and chronic sinusitis. We employed the inverse variance‐weighted (IVW) method as the primary analytical approach to estimate the effect. Additionally, sensitivity, heterogeneity, and pleiotropy analyses were conducted to evaluate the robustness of the results. Reverse MR analysis was also applied to investigate potential reverse causality.ResultsThrough MR analysis, we identified 17 gut microbiota classifications that are closely associated with chronic sinusitis. However, after Bonferroni multiple correction, only class Bacilli (odds ratio: 0.785, 95% confidence interval: 0.677–0.911, p = .001, false discovery rate = 0.023) maintained a significant causal negative relationship with chronic sinusitis. Sensitivity analysis did not reveal any evidence of heterogeneity or horizontal pleiotropy. Reverse MR analysis found five gut microbiota classifications that are significantly associated with chronic sinusitis, but they were no longer significant after Bonferroni multiple correction. There was no evidence to suggest a reverse causal relationship between chronic sinusitis and class Bacilli.ConclusionSpecific gut microbiota predicted by genetics exhibit a potential causal relationship with chronic sinusitis, and class Bacilli may have a protective effect on chronic sinusitis.
Being yourself is a defect: analysis of documented rights violations related to sexual orientation, gender identity and HIV in 2022 using the REAct system in six eastern European, Caucasus and Central Asian countries
Authors: Kovtun Oksana , Tilek kyzy Elvira , Masiumova Nadira 
Published: July 2024

AbstractIntroductionRemoving legal barriers to HIV services is crucial for the global 2030 goal of ending the HIV and AIDS epidemic, particularly in eastern Europe, the Caucasus and central Asia. Despite state commitments to uphold human rights, gay, bisexual and other men who have sex with men (gbMSM), along with transgender people (TP) still face stigma and discrimination. This article presents an analysis of rights violations based on sexual orientation and gender identity (SOGI) and HIV reported in 2022 across six countries, highlighting features and their links to legislation and law enforcement practices.MethodsWe examined documented cases of rights violations among gbMSM and TP in Armenia, Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Ukraine in 2022 using the REAct system, a tool for documenting and responding to rights violations against key populations. Initially, we employed directed content analysis based on Yogyakarta Principles to analyse narratives of violations. A codebook was developed through contextual, manifest and latent coding, with themes, categories and codes converted into quantitative variables for statistical analysis. Descriptive statistics were used to identify the characteristics of violations.ResultsA total of 456 cases of rights violations related to SOGI and HIV were documented, ranging from 22 cases in Tajikistan to 217 in Ukraine. Most violations concerned gbMSM (76.5%), with one‐fifth involving TP, predominantly transgender women. Complex violations with multiple perpetrators or infringements were documented in Armenia and central Asia. Privacy rights were commonly violated, often through outing. Cases of violations of the right to the highest attainable standard of health (13.6%) and protection from medical abuses (2.6%) were also documented. Other rights violations were sporadic, with each country exhibiting distinct patterns of violated rights and types of violations. In Ukraine, the full‐scale war in 2022 influenced the nature of documented cases, reflecting the challenges faced by gbMSM and TP.ConclusionsMonitoring rights violations proved effective for assessing the situation of gbMSM and TP, particularly in the insufficiently studied and diverse eastern Europe, Caucasus and central Asia regions. As rights violations are linked to both legislation and law enforcement practices, comprehensive interventions to minimize structural and interpersonal stigma are essential.
Patterns of daily oral HIV PrEP adherence among people who inject drugs in Ukraine: an analysis of biomarkers
Authors: Morozova Olga , Kornilova Marina , Makarenko Olena , Antoniak Svitlana , Liulchuk Mariia , Varetska Olga , Dumchev Kostyantyn 
Published: July 2024

AbstractIntroductionDaily oral HIV pre‐exposure prophylaxis (PrEP) with tenofovir/emtricitabine (TDF/FTC) is recommended for people who inject drugs (PWID) but coverage is low. The real‐life effectiveness of PrEP among PWID is unknown as previous studies were conducted in controlled settings and mainly relied on self‐report. Analysis of PrEP metabolites—tenofovir diphosphate (TFVdp) and emtricitabine triphosphate (FTCtp)—offers an objective measure of adherence.MethodsTo analyse longitudinal patterns of PrEP adherence among PWID in Ukraine, we used data from a community‐based implementation trial conducted in Kyiv between July 2020 and March 2021 to test the efficacy of SMS reminders to improve adherence. Among 199 enrolled participants, 156 (78.4%) were retained through 6 months. Based on TFVdp/FTCtp levels assessed at 3 and 6 months, we identified groups with various adherence patterns (adherent at ≥2 doses/week, improved, worsened, non‐adherent). Correlates of adherence were analysed using multinomial logistic regression.ResultsMost participants (53.8%, n = 84/156) had no detectable metabolites at both assessments; 7.1% (n = 11/156) were consistently taking ≥2 doses/week; 1.3% (n = 2/156) were consistently taking ≥4 doses/week; 13.5% (n = 21/156) exhibited improved and 21.8% (n = 34/156) had worsened adherence at 6 compared to 3 months. “White coat compliance” (increased dosing prior to assessment) was common. Consistent adherence was associated with SMS reminders, younger age, employment, lower income, longer injection drug use duration, recent high‐risk injecting (receptive syringe sharing, using pre‐filled syringe, back‐ or front‐loading, container sharing), absence of overdose in the past 6 months, perceived HIV risk through sexual intercourse and higher PrEP self‐efficacy. Alcohol consumption was associated with inconsistent PrEP use. Groups with improved and worsened adherence did not differ.ConclusionsDaily oral PrEP may not achieve the desired effectiveness among PWID as a standalone intervention, calling for testing of alternative PrEP formulations and innovative integrated risk reduction strategies, especially in the context of HIV epidemics associated with injection drug use in eastern Europe and central Asia and the public health crisis in Ukraine caused by the war with Russia. SMS reminders may be effective among PWID who prioritize PrEP. Our findings offer practical guidance in identifying PWID who are likely to benefit from PrEP and those who need additional support.
Huppke–Brendel syndrome: Novel cases and a therapeutic trial with ketogenic diet and N‐acetylcysteine
Authors: Šikić Katarina , Peters Tessa M. A. , Engelke Udo , Petković Ramadža Danijela , Žigman Tamara , Fumić Ksenija , Davidović Maša , Huljev Frković Sanda , Körmendy Tibor , Martinelli Diego , Novelli Antonio , Lepri Francesca Romana , Wevers Ron A. , Barić Ivo 
Published: July 2024

AbstractHuppke–Brendel syndrome (HBS) is an autosomal recessive disorder caused by SLC33A1 mutations, a gene coding for the acetyl‐CoA transporter‐1 (AT‐1). So far it has been described in nine pediatric and one adult patient. Therapeutic trials with copper histidinate failed to achieve any clinical improvement. Here, we describe the clinical characteristics of two novel patients, one of them diagnosed by gene analysis and his sib postmortally based on clinical characteristics. We demonstrate a therapeutic trial with acetylation therapy, consisting of N‐acetylcysteine and ketogenic diet, in one of them. We provide biochemical data on N‐acetylated amino acids in cerebrospinal fluid (CSF) and plasma before and after starting this treatment regimen. Our results indicate that ketogenic diet and N‐acetylcysteine do not seem to normalize the concentrations of N‐acetylated amino acids in CSF or plasma. The overall metabolic pattern shows a trend toward lowered levels of N‐acetylated amino acids in CSF and to a lesser extent in plasma. Although there are some assumptions, the function of AT‐1 is still not clear and further studies are needed to better understand mechanisms underlying this complex disorder.
Dielectric relaxation parameters combing raw milk compositions to improve the prediction performance of milk somatic cell count
Authors: Yang Ke , Li Yue , Liu Wei , Zhang Jiahui , Guo Wenchuan , Zhu Xinhua 
Published: July 2024

AbstractBACKGROUNDMilk somatic cell count (SCC) is an international standard for identifying mastitis in dairy cows and measuring raw milk quality. Milk SCC can be predicted based on dielectric relaxation parameters (DRPs). We noted a high correlation between DRPs and the milk composition content (MCC), and so we hypothesized that combining DRPs with MCC could improve the prediction accuracy of milk SCC. The present study aimed to analyze the relationship between milk SCC, DRPs and MCC, as well as to investigate the potential of combining DRPs with MCC to improve the prediction accuracy of milk SCC.RESULTSThe dielectric spectra (20–4500 MHz) of 276 milk samples were measured, and their DRPs (εl, εh, Δε, τ and σ) were solved by the modified Debye equation. The SCC prediction models were developed using dielectric full spectra, DRPs and DRPs combined with MCC. The results showed the correlations between DRPs (εl, εh, Δε and σ) and MCC (fat, protein, lactose and total solids) were high, and SCC exhibited a non‐linear relationship with DRPs and MCC. The 5DRPs + MCC‐generalized regression neural network model had the best prediction, with a standard error of prediction for prediction of 0.143 log SCC mL−1 and residual of the prediction bias of 2.870, which was superior to the models based on full spectra, DRPs and near‐infrared or visible/near‐infrared.CONCLUSIONThe present study has improved the prediction accuracy of milk SCC based on the DRPs combing MCC and provides a new method for dairy farming and milk quality assessment. © 2024 Society of Chemical Industry.
Early detection of gray blight in tea leaves and rapid screening of resistance varieties by hyperspectral imaging technology
Authors: Mao Yilin , Li He , Xu Yang , Wang Shuangshuang , Yin Xinyue , Fan Kai , Ding Zhaotang , Wang Yu 
Published: July 2024

AbstractBACKGROUNDGray blight (GB) is a significant disease of tea leaves, posing a severe threat to both the yield and quality. In this study, the process of leaf infection by a pathogenic isolate of the GB disease (DDZ‐6) was simulated. Hyperspectral images of normal leaves, infected leaves without symptoms, and infected leaves with mild and moderate symptoms were collected. Combining convolution neural network (CNN), long short‐term memory (LSTM), and support vector machine (SVM) algorithms, the early detection model of GB disease, and the rapid screening model of resistant varieties were established. The generality of this method was verified by collecting datasets under field conditions.RESULTSThe visible red‐light band demonstrated a pronounced responsiveness to GB disease, with three sensitive bands identified through rigorous screening processes utilizing uninformative variable elimination (UVE), competitive adaptive reweighted sampling (CARS), and the successive projections algorithm (SPA). The 693, 727, and 766 nm bands emerged as highly sensitive indicators of GB. Under ideal conditions, the CARS‐LSTM model excelled in early detection of GB, achieving an accuracy of 92.6%. However, under field conditions, the combination of 693 and 727 nm bands integrated with a CNN provided the most effective early detection model, attaining an accuracy of 87.8%. For screening tea varieties resistant to GB, the SPA‐LSTM model excelled, achieving an accuracy of 82.9%.CONCLUSIONThis study provides a core algorithm for a GB disease instrument with detection capabilities, which is of great importance for the early prevention of GB disease in tea plantations. © 2024 Society of Chemical Industry.
A gut microbial metabolite cocktail fights against obesity through modulating the gut microbiota and hepatic leptin signaling
Authors: Dong Yanxi , Dong Jiali , Xiao Huiwen , Li Yuan , Wang Bin , Zhang Shuqin , Cui Ming 
Published: July 2024

AbstractBACKGROUNDExcessive body weight and obesity elevate the risk of chronic non‐communicable diseases. The judicious application of the gut microbiome, encompassing both microorganisms and their derived compounds, holds considerable promise in the treatment of obesity.RESULTSIn this study, we showed that a cocktail of gut microbiota‐derived metabolites, comprising indole 3‐propionic acid (IPA), sodium butyrate (SB) and valeric acid (VA), alleviated various symptoms of obesity in both male and female mice subjected to a high‐fat diet (HFD). The 16S ribosomal RNA (rRNA) sequencing revealed that administering the cocktail via oral gavage retained the gut microbiota composition in obese mice. Fecal microbiota transplantation using cocktail‐treated mice as donors mitigated the obesity phenotype of HFD‐fed mice. Transcriptomic sequencing analysis showed that the cocktail preserved the gene expression profile of hepatic tissues in obese mice, especially up‐regulated the expression level of leptin receptor. Gene delivery via in vivo fluid dynamics further validated that the anti‐obesity efficacy of the cocktail was dependent on leptin signaling at least partly. The cocktail also inhibited the expression of appetite stimulators in hypothalamus. Together, the metabolite cocktail combated adiposity by retaining the gut microbiota configuration and activating the hepatic leptin signaling pathway.CONCLUSIONSOur findings provide a sophisticated regulatory network between the gut microbiome and host, and highlight a cocktail of gut microbiota‐derived metabolites, including IPA, SB, and VA, might be a prospective intervention for anti‐obesity in a preclinical setting. © 2024 Society of Chemical Industry.
Can consumers avoid mislabelling? Genetic species identification provides recommendations for shrimp/prawn products
Authors: Gil Félix , Beroiz Beatriz , Ballesteros Isabel , Horreo Jose Luis 
Published: July 2024

AbstractBACKGROUNDCrustaceans of the superfamily Penaeoidea (e.g., shrimps and prawns) are among the most commercially available aquatic products worldwide. However, there are few studies regarding not only the presence but also the characteristics of mislabelling in these food products. Such information would be helpful for consumers in order to avoid the typical problems associated with mislabelling (e.g., health and economic issues). For this reason, this work considers Penaeoidea mislabelling by comparing different products (frozen, fresh, boiled), and sources (hypermarkets, supermarkets and fishmongers) from Spain (Europe).RESULTSA total of 94 samples from 55 different products were collected, representing 19 different species from 13 genera. Mitochondrial DNA (COI gene) was amplified, revealing mislabelling in almost 30% of supermarket products and almost exclusively found in frozen samples (95% of the total) regardless of its price. In addition, products from the Pacific Ocean seem to be particularly susceptible to mislabelling.CONCLUSIONSAll in all, recommendations for the consumer in order to avoid mislabelling of prawns include purchasing them fresh from fishmongers; aquaculture products must not be avoided. This study represents, to our knowledge, the first attempt to provide recommendations to consumers based on DNA analyses in order to avoid mislabelling in food products. Further research is therefore required to provide such recommendations in different food products, particularly those that are processed, packaged and/or frozen. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.