bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk factors for miscarriage in Syrian refugee women living in non-camp settings in Jordan: results from the Women ASPIRE cross-sectional study
Authors: Khadra Maysa M. , Suradi Haya H. , Amarin Justin Z. , El-Bassel Nabila , Kaushal Neeraj , Jaber Ruba M. , Al-Qutob Raeda , Dasgupta Anindita
Published: June 2022

Background

Syrian refugee women face health care disparities and experience worse pregnancy outcomes, including miscarriage. We investigated risk factors for miscarriage in Syrian refugee women living in non-camp settings in Jordan to identify targets for interventions.

Methods

We analyzed data from Women ASPIRE, a cross-sectional study of gendered physical and mental health concerns of 507 Syrian refugee women (≥ 18 years old) living in non-camp settings in Jordan. We recruited women using systematic clinic-based sampling from four clinics. We limited our analyses to women who had a history of pregnancy and whose most recent pregnancy was single, took place in Jordan, and ended in term live birth or miscarriage (N = 307). We grouped the women by the primary outcome (term live birth or miscarriage) and compared the sociodemographic and clinical characteristics of the two groups. We used Pearson’s χ2 test or the Mann–Whitney U test to obtain unadjusted estimates and multivariable binomial logistic regression to obtain adjusted estimates.

Results

The most recent pregnancies of 262 women (85%) ended in term live birth and another 45 (15%) ended in miscarriage. Since crossing into Jordan, 11 women (4%) had not received reproductive health services. Of 35 women who were ≥ 35 years old, not pregnant, and did not want a (or another) child, nine (26%) did not use contraception. Of nine women who were ≥ 35 years old and pregnant, seven (78%) did not plan the pregnancy. The adjusted odds of miscarriage were higher in women who had been diagnosed with thyroid disease (aOR, 5.54; 95% CI, 1.56–19.07), had been of advanced maternal age (aOR, 5.83; 95% CI, 2.02–16.91), and had not received prenatal care (aOR, 36.33; 95% CI, 12.04–129.71). Each additional previous miscarriage predicted an increase in the adjusted odds of miscarriage by a factor of 1.94 (1.22–3.09).

Conclusions

We identified several risk factors for miscarriage in Syrian refugee women living in non-camp settings in Jordan. The risk factors may be amenable to preconception and prenatal care.
Patient selection for CAR T or BiTE therapy in multiple myeloma: Which treatment for each patient?
Authors: Kegyes David , Constantinescu Catalin , Vrancken Louise , Rasche Leo , Gregoire Celine , Tigu Bogdan , Gulei Diana , Dima Delia , Tanase Alina , Einsele Hermann , Ciurea Stefan , Tomuleasa Ciprian , Caers Jo
Published: June 2022

Multiple myeloma (MM) is a plasma cell malignancy that affects an increasing number of patients worldwide. Despite all the efforts to understand its pathogenesis and develop new treatment modalities, MM remains an incurable disease. Novel immunotherapies, such as CAR T cell therapy (CAR) and bispecific T cell engagers (BiTE), are intensively targeting different surface antigens, such as BMCA, SLAMF7 (CS1), GPRC5D, FCRH5 or CD38. However, stem cell transplantation is still indispensable in transplant-eligible patients. Studies suggest that the early use of immunotherapy may improve outcomes significantly. In this review, we summarize the currently available clinical literature on CAR and BiTE in MM. Furthermore, we will compare these two T cell-based immunotherapies and discuss potential therapeutic approaches to promote development of new clinical trials, using T cell-based immunotherapies, even as bridging therapies to a transplant.
Efficacy and safety of piezocision in accelerating maxillary anterior teeth en-masse retraction: study protocol for a randomized controlled trial
Authors: Xu Yichen , Yu Liming , Tong Xianqin , Wang Yuhui , Li Yuanyuan , Pan Jie , Yang Yanjing , Liu Yuehua
Published: June 2022

Background

Orthodontic treatment is commonly more time-consuming in adults than in teenagers, especially when it comes to the maxillary en-masse retraction, which may take 9 months or even longer. As to solve this concern, orthodontists have been striving to seek new methods for shortening orthodontic treatment time. Piezocision, as a popular alternative treatment, has been widely used in different types of tooth movement. However, its effect on en-masse retraction of maxillary anterior teeth remains unclear. This randomized controlled trial intends to figure out the role piezocision plays in accelerating en-masse retraction.

Methods

This protocol is designed for a prospective, single-center, assessor-blinded and parallel-group randomized controlled trial. Twenty adult patients aged from 18 to 40 whose orthodontic treatment required bilateral maxillary first premolars extraction will be randomly assigned to the piezocision group and the control group at a ratio of 1:1. The piezocision group will undergo en-masse retraction immediately after the piezo surgery, while the control group will start en-masse retraction directly. Both groups will be followed up every 2 weeks to maintain the retraction force until the end of space closure. The space closing time is set as the primary endpoint. Meanwhile, the secondary endpoints include the change of root length, labial and palatal alveolar bone thickness, vertical bone height, probing depth of maxillary anterior teeth, cephalometric measurements, visual analogue scale, and postoperative satisfaction questionnaire.

Discussion

This study will attempt to provide more convincing evidence to verify whether piezocision will shorten the time of en-masse retraction or not. Distinguished with previous studies, our study has made some innovations in orthodontic procedure and primary outcome measurement, aiming to clarify the efficacy and safety of piezocision-assisted en-masse retraction in Chinese population.

Trial registration

Chinese Clinical Trial Registry ChiCTR 1900024297. Registered on 5 July 2019
Retinoic acid inhibits the angiogenesis of human embryonic stem cell-derived endothelial cells by activating FBP1-mediated gluconeogenesis
Authors: Yang Zhuangzhuang , Yu Miao , Li Xuechun , Tu Yuanyuan , Wang Chunyan , Lei Wei , Song Min , Wang Yong , Huang Ying , Ding Fengyue , Hao Kaili , Han Xinglong , Ni Xuan , Qu Lina , Shen Zhenya , Hu Shijun
Published: June 2022

Background

Endothelial cells are located in the inner lumen of blood and lymphatic vessels and exhibit the capacity to form new vessel branches from existing vessels through a process called angiogenesis. This process is energy intensive and tightly regulated. Glycolysis is the main energy source for angiogenesis. Retinoic acid (RA) is an active metabolite of vitamin A and exerts biological effects through its receptor retinoic acid receptor (RAR). In the clinic, RA is used to treat acne vulgaris and acute promyelocytic leukemia. Emerging evidence suggests that RA is involved in the formation of the vasculature; however, its effect on endothelial cell angiogenesis and metabolism is unclear.

Methods

Our study was designed to clarify the abovementioned effect with human embryonic stem cell-derived endothelial cells (hESC-ECs) employed as a cell model.

Results

We found that RA inhibits angiogenesis, as manifested by decreased proliferation, migration and sprouting activity. RNA sequencing revealed general suppression of glycometabolism in hESC-ECs in response to RA, consistent with the decreased glycolytic activity and glucose uptake. After screening glycometabolism-related genes, we found that fructose-1,6-bisphosphatase 1 (FBP1), a key rate-limiting enzyme in gluconeogenesis, was significantly upregulated after RA treatment. After silencing or pharmacological inhibition of FBP1 in hESC-ECs, the capacity for angiogenesis was enhanced, and the inhibitory effect of RA was reversed. ChIP-PCR demonstrated that FBP1 is a target gene of RAR. When hESC-ECs were treated with the RAR inhibitor BMS493, FBP1 expression was decreased and the effect of RA on angiogenesis was partially blocked.

Conclusions

The inhibitory role of RA in glycometabolism and angiogenesis is RAR/FBP1 dependent, and FBP1 may be a novel therapeutic target for pathological angiogenesis.
Pharmacological affinity fingerprints derived from bioactivity data for the identification of designer drugs
Authors: He Kedan
Published: June 2022

Facing the continuous emergence of new psychoactive substances (NPS) and their threat to public health, more effective methods for NPS prediction and identification are critical. In this study, the pharmacological affinity fingerprints (Ph-fp) of NPS compounds were predicted by Random Forest classification models using bioactivity data from the ChEMBL database. The binary Ph-fp is the vector consisting of a compound’s activity against a list of molecular targets reported to be responsible for the pharmacological effects of NPS. Their performance in similarity searching and unsupervised clustering was assessed and compared to 2D structure fingerprints Morgan and MACCS (1024-bits ECFP4 and 166-bits SMARTS-based MACCS implementation of RDKit). The performance in retrieving compounds according to their pharmacological categorizations is influenced by the predicted active assay counts in Ph-fp and the choice of similarity metric. Overall, the comparative unsupervised clustering analysis suggests the use of a classification model with Morgan fingerprints as input for the construction of Ph-fp. This combination gives satisfactory clustering performance based on external and internal clustering validation indices.
Probabilistic metabolite annotation using retention time prediction and meta-learned projections
Authors: García Constantino A. , Gil-de-la-Fuente Alberto , Barbas Coral , Otero Abraham
Published: June 2022

Retention time information is used for metabolite annotation in metabolomic experiments. But its usefulness is hindered by the availability of experimental retention time data in metabolomic databases, and by the lack of reproducibility between different chromatographic methods. Accurate prediction of retention time for a given chromatographic method would be a valuable support for metabolite annotation. We have trained state-of-the-art machine learning regressors using the 80, 038 experimental retention times from the METLIN Small Molecule Retention Tim (SMRT) dataset. The models included deep neural networks, deep kernel learning, several gradient boosting models, and a blending approach. 5, 666 molecular descriptors and 2, 214 fingerprints (MACCS166, Extended Connectivity, and Path Fingerprints fingerprints) were generated with the alvaDesc software. The models were trained using only the descriptors, only the fingerprints, and both types of features simultaneously. Bayesian hyperparameter search was used for parameter tuning. To avoid data-leakage when reporting the performance metrics, nested cross-validation was employed. The best results were obtained by a heavily regularized deep neural network trained with cosine annealing warm restarts and stochastic weight averaging, achieving a mean and median absolute errors of$$39.2 \pm 1.2\; s$$39.2±1.2sand$$17.2 \pm 0.9\;s$$17.2±0.9s, respectively. To the best of our knowledge, these are the most accurate predictions published up to date over the SMRT dataset. To project retention times between chromatographic methods, a novel Bayesian meta-learning approach that can learn from just a few molecules is proposed. By applying this projection between the deep neural network retention time predictions and a given chromatographic method, our approach can be integrated into a metabolite annotation workflow to obtain z-scores for the candidate annotations. To this end, it is enough that just as few as 10 molecules of a given experiment have been identified (probably by using pure metabolite standards). The use of z-scores permits considering the uncertainty in the projection when ranking candidates, and not only the accuracy. In this scenario, our results show that in 68% of the cases the correct molecule was among the top three candidates filtered by mass and ranked according to z-scores. This shows the usefulness of this information to support metabolite annotation. Python code is available on GitHub at https://github.com/constantino-garcia/cmmrt.
Hepatitis, testicular degeneration, and ataxia in DIDO3-deficient mice with altered mRNA processing
Authors: Gutiérrez Julio , van Wely Karel H. M. , Martínez-A Carlos
Published: June 2022

Background

mRNA processing is an essential step of gene expression; its malfunction can lead to different degrees of physiological disorder from subclinical disease to death. We previously identified Dido1 as a stemness marker and a gene involved in embryonic stem cell differentiation. DIDO3, the largest protein encoded by the Dido1 gene, is necessary for accurate mRNA splicing and correct transcription termination. The deletion of Dido1 exon16, which encodes the carboxy-terminal half of DIDO3, results in early embryonic lethality in mouse.

Results

We obtained mice bearing a Cre-LoxP conditional version of that deletion and studied the effects of inducing it ubiquitously in adult stages. DIDO3-deficient mice survive the deletion but suffer mild hepatitis, testicular degeneration, and progressive ataxia, in association with systemic alterations in mRNA splicing and transcriptional readthrough.

Conclusions

These results offer insight into the distinct vulnerabilities in mouse organs following impairment of the mRNA processing machinery, and could aid understanding of human health dependence on accurate mRNA metabolism.
Interleaved block subcarrier allocation and power combination for frequency symbol spreading multiuser diversity OFDMA
Authors: Ida Yuta , Matsumoto Takahiro
Published: June 2022

In a FSS-OFDMA, the OFDM symbol is spread, and the subcarriers are assigned for each user in the frequency band. As the principal subcarrier allocation for each user, localized and interleaved allocations have been proposed, and the interleaved allocation is improved for the BER performance to avoid continuous deep faded subcarrier channels. Also, in the independent channel fluctuation for each user, the MUDiv gain is obtained by the individual and block subcarrier allocations. However, they have a trade-off problem between the BER performance and the computational complexity. To solve this problem, the interleaved block subcarrier allocation has been proposed. On the other hand, the interleaved block is only evaluated for the individual subcarrier and is not evaluated for the several subcarriers. Moreover, the power combination between the subcarrier and the channel is also improved for the BER performance, but the individual and block subcarrier allocations are only evaluated. Therefore, in this paper, we propose the interleaved block subcarrier allocation and the power combination for a FSS-MUDiv/OFDMA.
The relationship between prostatic microvessel density and different concentrations of oestrogen/androgen in Sprague-Dawley rats
Authors: Wang Bo , Pan Di , Ban Yong , Sun Zhaolin , Tian Ye , Luo Guangheng
Published: June 2022

Background

Currently, there are relatively few studies on the effects of changes in oestrogen and androgen levels on prostatic microvessel density (MVD). This article aimed to study the changes in prostatic MVD in Sprague-Dawley (SD) rats after castration under the effect of oestrogen/androgen at different concentrations.

Methods

Male SD rats aged 3–4 months were randomly divided into a control group, a castration group, and groups with different concentrations of oestrogen/androgen treatment after castration. Dihydrotestosterone (DHT) and oestradiol (E) were administered daily by subcutaneous injection for one month. All the rats were killed by cervical dislocation after one month, and the serum DHT and E concentrations of the rats in each group were measured by ELISA. Prostate tissue specimens were immunohistochemically stained with monoclonal antibodies against CD34 and factor VIII for MVD.

Results

Compared with the control group, the MVD decreased significantly in the castration group (P < 0.05). When the exogenous E concentration was constant, in general, the MVD of rats in all the groups increased with increasing exogenous DHT concentration. Compared with the castration group, the MVD increased significantly in the E0.05 + DHT0.015 mg/kg, E0.05 + DHT0.05 mg/kg, E0.05 + DHT0.15 mg/kg, E0.05 + DHT0.5 mg/kg, and E0.05 + DHT1.5 mg/kg groups (P < 0.05). In addition, when the exogenous DHT concentration was constant, the MVD increased with increasing exogenous E concentration in all the groups. Among them, compared with the control and castration groups, the MVD increased significantly in the DHT0.15 + E0.015 mg/kg, DHT0.15 + E0.15 mg/kg, and DHT0.15 + E0.5 mg/kg groups (P < 0.05).

Conclusions

Androgens play an important role in the regulation of prostatic MVD in SD rats, and a decrease in DHT concentration can induce a decrease in prostatic MVD. In contrast, prostatic MVD can be increased with increasing DHT concentration. In addition, prostatic MVD can be increased gradually with increasing oestrogen concentration.
The role of YAP1 in liver cancer stem cells: proven and potential mechanisms
Authors: Wu Haofeng , Liu Yachong , Liao Zhibin , Mo Jie , Zhang Qiaofeng , Zhang Bixiang , Zhang Lei
Published: June 2022

YAP1 (Yes-associated protein 1) is one of the principal factors that mediates oncogenesis by acting as a driver of gene expression. It has been confirmed to play an important role in organ volume control, stem cell function, tissue regeneration, tumorigenesis and tumor metastasis. Recent research findings show that YAP1 is correlated with the stemness of liver cancer stem cells, and liver cancer stem cells are closely associated with YAP1-induced tumor initiation and progression. This article reviews the advancements made in research on the mechanisms by which YAP1 promotes liver cancer stem cells and discusses some potential mechanisms that require further study.
Current advances and future perspectives on the functional roles and clinical implications of circular RNAs in esophageal squamous cell carcinoma: more influential than expected
Authors: Ju Chenxi , He Jing , Wang Chang , Sheng Jinxiu , Jia Jinlin , Du Dan , Li Hongle , Zhou Mingxia , He Fucheng
Published: June 2022

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive gastrointestinal cancers with high incidence and mortality. Therefore, it is necessary to identify novel sensitive and specific biomarkers for ESCC detection and treatment. Circular RNAs (circRNAs) are a type of noncoding RNAs featured by their covalently closed circular structure. This special structure makes circRNAs more stable in mammalian cells, coupled with their great abundance and tissue specificity, suggesting circRNAs may present enormous potential to be explored as valuable prognostic and diagnostic biomarkers for tumor. Mounting studies verified the critical roles of circRNAs in regulating ESCC cells malignant behaviors. Here, we summarized the current progresses in a handful of aberrantly expressed circRNAs, and elucidated their biological function and clinical significance in ESCC, and introduced a series of databases for circRNA research. With the improved advancement in high-throughput sequencing and bioinformatics technique, new frontiers of circRNAs will pave the path for the development of precision treatment in ESCC.
Comparative proteomic analysis on chloroplast proteins provides new insights into the effects of low temperature in sugar beet
Authors: Long Jiali , Xing Wang , Wang Yuguang , Wu Zedong , Li Wenjing , Zou Yi , Sun Jiaping , Zhang Fushun , Pi Zhi
Published: June 2022

Background

Low temperature, which is one of the main environmental factors that limits geographical distribution and sucrose yield, is a common abiotic stress during the growth and development of sugar beet. As a regulatory hub of plant response to abiotic stress, activity in the chloroplasts is related to many molecular and physiological processes, particularly in response to low temperature stress.

Results

The contents of chlorophyll (Chl) and malondialdehyde (MDA), relative electrical conductivity (REL), and superoxide dismutase (SOD) activity were measured. The results showed that sugar beet could manage low temperature stress by regulating the levels of Chl, REL and MDA, and the activity of SOD. The physiological responses indicated that sugar beets respond positively to low temperature treatments and are not significantly damaged. Moreover, to determine the precise time to response low temperature in sugar beet, well-known abiotic stresses-responsive transcript factor family, namely DEHYDRATION RESPONSIVE ELEMENT BINDING PROTEIN (DREB), was selected as the marker gene. The results of phylogenetic analyses showed that BvDREBA1 and BvDREBA4 were in the same branch as the cold- and drought-responsive AtDREB gene. In addition, the expression of BvDREBs reached its maximum level at 24 h after low temperature by RNA-Seq and qRT-PCR analysis. Furthermore, the changes in chloroplast proteome after low temperature at 24 h were detected using a label-free technique. A total of 416 differentially expressed proteins were identified. GO enrichment analysis showed that 16 GO terms were significantly enriched, particularly chloroplast stroma, chloroplast envelope, and chloroplast thylakoid membrane. It is notable that the transport of photosynthetic proteins (BvLTD and BvTOC100), the formation of starch granules (BvPU1, BvISA3, and BvGWD3) and the scavenging of reactive oxygen species (BvCu/Zn-SOD, BvCAT, BvPrx, and BvTrx) were the pathways used by sugar beets to respond to low temperatures at an early stage.

Conclusions

These results provide a preliminarily analysis of how chloroplasts of sugar beet respond to low temperature stress at the translational level and provide a theoretical basis for breeding low temperature resistant varieties of sugar beet.
Worsening or improving hypoalbuminemia during continuous renal replacement therapy is predictive of patient outcome: a single-center retrospective study
Authors: Rhee Harin , Jang Gum Sook , Kim Sungmi , Lee Wanhee , Jeon Hakeong , Kim Da Woon , Ye Byung-min , Kim Hyo Jin , Kim Min Jeong , Kim Seo Rin , Kim Il Young , Song Sang Heon , Seong Eun Young , Lee Dong Won , Lee Soo Bong
Published: June 2022

Background

Hypoalbuminemia at the initiation of continuous renal replacement therapy (CRRT) is a risk factor for poor patient outcomes. However, it is unknown whether the patterns of changes in serum albumin levels during CRRT can be used to predict patient outcomes.

Methods

This retrospective study analyzed data that had been consecutively collected from January 2016 to December 2020 at the Third Affiliated Hospital. We included patients with acute kidney injury who received CRRT for ≥ 72 h. We divided the patients into four groups based on their serum albumin levels (albumin ≥ 3.0 g/dL or < 3.0 g/dL) at the initiation and termination of CRRT.

Results

The 793 patients in this study were categorized into the following albumin groups: persistently low, 299 patients (37.7%); increasing, 85 patients (10.4%); decreasing, 195 patients (24.6%); and persistently high, 214 patients (27.1%). In-hospital mortality rates were highest in the persistently low and decreasing groups, followed by the increasing and persistently high groups. The hazard ratio for in-hospital mortality was 0.481 (0.340–0.680) in the increasing group compared to the persistently low group; it was 1.911 (1.394–2.620) in the decreasing group compared to the persistently high group. The length of ICU stay was 3.55 days longer in the persistently low group than in the persistently high group.

Conclusions

Serum albumin levels changed during CRRT, and monitoring of patterns of change in serum albumin levels is useful for predicting in-hospital mortality and the length of ICU stay.
Machine Learning for Understanding and Predicting Injuries in Football
Authors: Majumdar Aritra , Bakirov Rashid , Hodges Dan , Scott Suzanne , Rees Tim
Published: June 2022

Attempts to better understand the relationship between training and competition load and injury in football are essential for helping to understand adaptation to training programmes, assessing fatigue and recovery, and minimising the risk of injury and illness. To this end, technological advancements have enabled the collection of multiple points of data for use in analysis and injury prediction. The full breadth of available data has, however, only recently begun to be explored using suitable statistical methods. Advances in automatic and interactive data analysis with the help of machine learning are now being used to better establish the intricacies of the player load and injury relationship. In this article, we examine this recent research, describing the analyses and algorithms used, reporting the key findings, and comparing model fit. To date, the vast array of variables used in analysis as proxy indicators of player load, alongside differences in approach to key aspects of data treatment—such as response to data imbalance, model fitting, and a lack of multi-season data—limit a systematic evaluation of findings and the drawing of a unified conclusion. If, however, the limitations of current studies can be addressed, machine learning has much to offer the field and could in future provide solutions to the training load and injury paradox through enhanced and systematic analysis of athlete data.
Growing pig incidence rate, control and prevention of porcine epidemic diarrhea virus in a large pig production system in the United States
Authors: Kikuti Mariana , Drebes Donna , Robbins Rebecca , Dufresne Luc , Sanhueza Juan M. , Corzo Cesar A.
Published: June 2022

Background

In 2013, PEDV was introduced in the United States (U.S.) and rapidly spread across the country. Here we describe the occurrence of PEDV in the growing pig herd of one large U.S. production system through an active surveillance set in place between October 2019 and November 2020 designed to assess disease status upon placement into the growing pig site, before shipping to the slaughter plant and when diarrhea events were present at the site. We also assessed the impact of preventive procedures implemented in PEDV incidence that comprised site-specific equipment segregation and biosecurity changes regarding personnel movement between sites.

Results

36.50% (100/274) of the sites had at least one PEDV introduction event before preventive procedures were implemented, yielding an incidence rate of 2.41 per 100 farm-weeks. Most (63/100) of them occurred in sites where animals were placed negative and PEDV was detected in clinical samples in a median of 8 weeks post placement. After preventive procedures were implemented, the overall PEDV incidence rate dropped to 0.37 per 100 farm-weeks (84.65% reduction, p < 0.001).

Conclusion

These results highlight the importance of systematic surveillance to identify the burden of diseases, areas of improvement in prevention and control, and to allow the measurement of the impact of policy/protocol changes.
Guanidine acetic acid supplementation altered plasma and tissue free amino acid profiles in finishing pigs
Authors: Cui Yiyan , Tian Zhimei , Yu Miao , Deng Dun , Lu Huijie , Song Min , Ma Xianyong , Wang Limin
Published: June 2022

Background

As a nutritive feed additive, guanidine acetic acid (GAA) participates in the metabolism of energy and proteins. This study aimed to investigate the effects of GAA on growth performance, organ index, plasma and tissue free amino acid profiles, and related metabolites in finishing pigs. A total of 72 crossbred pigs (body weight 86.59 ± 1.16 kg) were randomly assigned to 1 of 4 dietary treatments (GAA0, GAA500, GAA1000, and GAA1500). They were fed the basal diets supplemented with 0, 500, 1000, or 1500 mg/kg GAA for 42 days, respectively. The growth performance and organ weight were evaluated, and the contents of crude protein, free amino acids, and metabolites in plasma and tissues were determined. Spearman correlation between plasma and tissue free amino acids and related metabolites was also analyzed.

Results

Growth performance in pigs was not altered by GAA (P > 0.05). The absolute and relative weight of kidneys increased (quadratic, P < 0.05). As dietary GAA concentration was increased, the contents of plasma glycine, serine, leucine, ornithine, and ratio of ornithine/arginine decreased (linear or quadratic, P < 0.05), but the contents of plasma isoleucine and taurine and the ratios of alanine/branched-chain amino acids and proline/ornithine increased quadratically (P < 0.05). The hepatic γ-amino-n-butyric acid content increased linearly and quadratically (P < 0.001), while the carnosine content decreased (quadratic, P = 0.004). The contents of renal arginine, proline, cystine, glutamate, and total amino acids (TAA) decreased quadratically (P < 0.05), but the contents of glycine (quadratic, P = 0.015) and γ-amino-n-butyric acid (linear, P = 0.008) increased. The pancreatic tryptophan content (quadratic, P = 0.024) increased, while the contents of pancreatic proline (linear, P = 0.005) and hydroxyproline (quadratic, P = 0.032) decreased in response to GAA supplementation. The contents of cardiac essential amino acids (EAA), nonessential amino acids (NEAA), and TAA in GAA1000 were higher than those in GAA1500 (P < 0.05). Supplementing with GAA linearly increased the contents of methionine, threonine, valine, isoleucine, leucine, phenylalanine, tryptophan, lysine, histidine, arginine, serine, alanine, glutamine, asparagine, tyrosine, proline, taurine, cystathionine, α-aminoadipic acid, β-aminoisobutyric acid, EAA, NEAA, and TAA in the spleen (P < 0.05). A strong Spearman correlation existed between plasma and tissue free amino acids and related metabolites.

Conclusion

GAA supplementation did not altered pig growth performance, but it altered plasma and tissue free amino acid profiles and the contents of related metabolites in pigs in a tissue-dependent manner.
Primary Sjögren syndrome and development of another autoimmune rheumatic disease during the follow-up
Authors: Rodríguez María Florencia , Asnal Cecilia , Gobbi Carla Andrea , Pellet Antonio Carlos Catalán , Herscovich Natalia , Amitrano Cristina , Demarchi Julia , Noé Damián Duartes , Segura Carolina , Caeiro Francisco , Riscanevo Nadia , Saurit Verónica , Papasidero Silvia , Alba Paula B. , Raiti Laura , Cruzat Vanesa , Santiago María Lida , Vélez Sofía , Salvatierra Gabriela , Juárez Vicente , Secco Anastasia
Published: June 2022

Background

Primary Sjögren syndrome (pSS) is a chronic autoimmune disease with its main target being exocrine glands, and is the connective tissue disease more frequently associated with other autoimmune diseases. The aim of this study was to assess the frequency of another autoimmune rheumatic disease (ARD) developed in primary Sjögren syndrome (pSS) patients and to describe it’s clinical, serological and histologic characteristics.

Materials and methods

This is a retrospective cohort study. Data of patients with pSS diagnosis (American-European criteria 2002), included in the GESSAR database (Grupo de Estudio Síndrome de Sjögren, Sociedad Argentina de Reumatología) were analyzed. The development of a second ARD was registered during the follow up.

Results

681 patients were included, 94.8% female. The mean age was 54 (SD 14) years and mean age at diagnosis of 50 (SD 13) years. The mean follow-up was 4.7 (SD 4.9) years; 30 patients (4.41%, CI 95%: 3.1–5.7) developed a second ARD during the follow up, incidence rate was 9.1/1000 patients-year (IR 95%: 5.8–12.4/1000 patients-year), the most frequent being rheumatoid arthritis (RA). 96% out of these 30 patients had xerophthalmia, 86.2% xerostomia, 92% positive Schirmer test, 88.24% positive Rosa Bengala test, lisamine green or Ocular Staining Score, 81.2% positive unstimulated salivary flow, 82.1% Ro(+) and 33.33% La(+). Minor salivary gland biopsy had been performed in 14 of the 30 patients, 12 with positive results. There were no statistically significant differences respect baseline characteristics when comparing the patients who developed another ARD to the ones that did not.

Conclusions

Of all the patients analyzed, 4.4% presented another ARD during their follow-up. It is important to be aware of this, to make an early and proper diagnosis and treatment of our patients.
Catatonia after COVID-19 infection: scoping review
Authors: Dawood Abdallah Samr , Dawood Ayia , Dawood Samr
Published: June 2022

Aims and method

Catatonia has been increasingly described in cases of COVID-19; we therefore aimed to investigate the evidence for catatonia in patients with COVID-19. We searched PubMed, EMBASE, PsycINFO, BIN and CINAHL databases for articles published in English, from the initial descriptions of the COVID-19 pandemic to January 2022.

Results

A total 204 studies were identified, 27 (13%) of which met the inclusion criteria. The evidence available was based on case reports. The articles included in this review identified a total of 42 patients, ranging from the ages of 12 to ≥70 years, with confirmed or possible catatonia during or after a COVID-19 infection.

Clinical implications

This review provides valuable information to clinicians in medical practice for treating patients with COVID-19, and a foundation for further research for this uncommon syndrome of COVID-19.
Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer
Authors: Qiao Edmund M. , Qian Alexander S. , Nalawade Vinit , Voora Rohith S. , Kotha Nikhil V. , Vitzthum Lucas K. , Murphy James D.
Published: June 2022

PURPOSE

Older hospitalized cancer patients face high risks of hospital mortality. Improved risk stratification could help identify high-risk patients who may benefit from future interventions, although we lack validated tools to predict in-hospital mortality for patients with cancer. We evaluated the ability of a high-dimensional machine learning prediction model to predict inpatient mortality and compared the performance of this model to existing prediction indices.

METHODS

We identified patients with cancer older than 75 years from the National Emergency Department Sample between 2016 and 2018. We constructed a high-dimensional predictive model called Cancer Frailty Assessment Tool (cFAST), which used an extreme gradient boosting algorithm to predict in-hospital mortality. cFAST model inputs included patient demographic, hospital variables, and diagnosis codes. Model performance was assessed with an area under the curve (AUC) from receiver operating characteristic curves, with an AUC of 1.0 indicating perfect prediction. We compared model performance to existing indices including the Modified 5-Item Frailty Index, Charlson comorbidity index, and Hospital Frailty Risk Score.

RESULTS

We identified 2,723,330 weighted emergency department visits among older patients with cancer, of whom 144,653 (5.3%) died in the hospital. Our cFAST model included 240 features and demonstrated an AUC of 0.92. Comparator models including the Modified 5-Item Frailty Index, Charlson comorbidity index, and Hospital Frailty Risk Score achieved AUCs of 0.58, 0.62, and 0.71, respectively. Predictive features of the cFAST model included acute conditions (respiratory failure and shock), chronic conditions (lipidemia and hypertension), patient demographics (age and sex), and cancer and treatment characteristics (metastasis and palliative care).

CONCLUSION

High-dimensional machine learning models enabled accurate prediction of in-hospital mortality among older patients with cancer, outperforming existing prediction indices. These models show promise in identifying patients at risk of severe adverse outcomes, although additional validation and research studying clinical implementation of these tools is needed.
Analytical Validation of a Deep Neural Network Algorithm for the Detection of Ovarian Cancer
Authors: Reilly Gerard , Bullock Rowan G. , Greenwood Jessica , Ure Daniel R. , Stewart Erin , Davidoff Pierre , DeGrazia Justin , Fritsche Herbert , Dunton Charles J. , Bhardwaj Nitin , Northrop Lesley E.
Published: June 2022

PURPOSE

Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with other clinical factors, which vary in their accuracy. Machine learning can be applied to optimizing the combination of these features, leading to more accurate assessment of malignancy. However, the low prevalence of the disease can make rigorous validation of these tests challenging and can result in unbalanced performance.

METHODS

MIA3G is a deep feedforward neural network for ovarian cancer risk assessment, using seven protein biomarkers along with age and menopausal status as input features. The algorithm was developed on a heterogenous data set of 1,067 serum specimens from women with adnexal masses (prevalence = 31.8%). It was subsequently validated on a cohort almost twice that size (N = 2,000).

RESULTS

In the analytical validation data set (prevalence = 4.9%), MIA3G demonstrated a sensitivity of 89.8% and a specificity of 84.02%. The positive predictive value was 22.45%, and the negative predictive value was 99.38%. When stratified by cancer type and stage, MIA3G achieved sensitivities of 94.94% for epithelial ovarian cancer, 76.92% for early-stage cancer, and 98.04% for late-stage cancer.

CONCLUSION

The balanced performance of MIA3G leads to a high sensitivity and high specificity, a combination that may be clinically useful for providers in evaluating the appropriate management strategy for their patients. Limitations of this work include the largely retrospective nature of the data set and the unequal, albeit random, assignment of histologic subtypes between the training and validation data sets. Future directions may include the addition of new biomarkers or other modalities to strengthen the performance of the algorithm.
A Scoping Review of Strategies to Increase Black Enrollment and Retention in Cancer Clinical Trials
Authors: Arring Noël M. , Aduse-Poku Livingstone , Jiagge Evelyn , Saylor Kate , White-Perkins Denise , Israel Barbara , Walker Eleanor M. , Hinebaugh Analise , Harb Rayya , DeWitt Jillian , Molnar Maxim , Wilson-Powers Eliza , Brush Barbara L.
Published: June 2022

To address health disparities faced by Black patients with cancer, it is critical that researchers conducting cancer clinical trials (CCTs) equitably recruit and retain Black participants, develop strategies toward this aim, and document associated outcomes. This narrative scoping literature review, as part of a larger study, aimed to identify, describe, and categorize strategies and interventions intended to improve the recruitment and retention of Black participants with breast, lung, prostate, colorectal, or multiple myeloma cancer into CCTs. We conducted comprehensive searches in PubMed, Embase, Cochrane Library, PsycInfo, CINAHL, Scopus, and Web of Science with three main concepts: Black persons, neoplasms, and clinical trial recruitment. The search resulted in 1,506 articles, of which 15 met inclusion criteria. Five main categories of recruitment and retention strategies and interventions were identified based on their specific population focus and type of approach: (1) participant identification, (2) provider awareness/resources, (3) focused research staff interventions, (4) patient and community–focused awareness strategies, and (5) participant-directed resources. Thirteen studies had recruitment acceptance rates of over 30%. Eight studies with acceptance rates of ≥ 50% reported implementing ≥ 5 strategies, with an average use of seven strategies across multiple categories. Five studies with acceptance rates ≥ 50% implemented strategies in ≥ 3 categories. Four studies reported retention rates ≥ 74%. Three studies with reported retention rates ≥ 74% used strategies in ≥ 3 categories, and all included strategies aimed at meeting participant needs beyond the study. Our results show that many efforts that aim to increase the recruitment and retention of Black participants into CCTs have great potential, but the most promising strategies use a multiprong approach.
Is There a Relationship Between Frequency of Port-Care Maintenance and Related Complications in Patients With Cancer?
Authors: Lang Tali , Jaboury Sarah , West Alexander , O'Sullivan Jo , Seletto Kirsten , Wilson Lucy , Gleisner Elizabeth , Richardson Gary
Published: June 2022

PURPOSE:

Totally implantable ports require regular maintenance to prevent port-related complications. Manufacturers recommend monthly maintenance port flushes for patients for the life of the port. Previous studies show that extending intervals between maintenance port flushes up to 16 weeks does not increase incidence of port-related complications. To date, no prospective study has been conducted to evaluate the medical safety of extending flush intervals from monthly to every 12 weeks within a heterogeneous disease cohort. Research Question: Is it feasible and medically safe to extend intervals between maintenance port flushes to every 12 weeks in patients with cancer not on active treatment?

PATIENTS AND METHODS:

This study enrolled oncology and hematology patients who had retained their port following completion of anticancer treatment. Clinical data were extracted for 1,059 participants. The primary end points of this study were the overall number of ports removed and incidence of port-related complications reported between cohorts 1 and 2 (flushes every 4-8 weeks), and cohort 3 (flushes every 12 weeks).

RESULTS:

Data were allocated into three study cohorts on the basis of year and duration between port flushes. No difference was observed in the overall percentage of ports removed because of physician-reported complications across all cohorts (25%-30%). No change in the incidence of port-related complications including suspected infection and malfunction was observed between cohorts 1 and 2 (8%), or cohort 3 (5%).

CONCLUSION:

Our findings show that extending maintenance port flush intervals to 12 weeks does not increase the incidence of port-related adverse events and is medically safe.
Majority Urban Politics and Lives Worth Living in a Time of Climate Emergencies
Authors: Simone AbdouMaliq , Benjamin Solomon
Published: June 2022

Majority lower-income and working-class districts in the Global South have long relied on an intricate interweaving of diverse practices. This has been complemented by strategic engagements with the ambiguities inherent in governing the dispositions of land and municipal services. These processes of majority-inflected urbanization are being substantially constrained both by the restructuring of urban rule and economy and by the exigencies of climate change. At the same time, there are often undue expectations that grassroots movements will be critical drivers of urban transformations capable of enduring climate change. But the collective actions of many low-income districts are seemingly indifferent to such expectations. Both the endurance of long-honed political practices and their substantive adjustments are explored here in order to revisit fundamental questions about how to generate lives worth living without valorization of the human.
From the Occupied Parks to the Gardens of the Nation
Authors: Erensü Sinan , İne Barış , Adanalı Yaşar Adnan
Published: June 2022

Ever since the Gezi Park protests in Istanbul in the summer 2013, defending and reclaiming the city parks, market gardens, public squares, and urban forests has become a mainstream act of defiance and a symbolic rejection of an intensifying authoritarianism, neoliberal urbanism, and exclusionary planning practices. Growing interest in the mobilizing capacity of the emerging urban-environmental imaginary, however, has not remained exclusive to the opposition. Rather than dismissing the critique entirely, the governing Justice and Development Party (AKP) has most recently embraced the politics of urban greenery and strived to mold it in its own image. This article focuses on the contentious politics of urban greenery in Istanbul and examines how the city's green public spaces have come to proxy a larger struggle over the future of Turkey. By discussing the possibilities, challenges, and limits of the politics of urban greenery, this article examines how the government has attempted to absorb an emerging urban-environmental objection into its fold. To do so, the article traces the genealogy of Istanbul's park politics in the last decade and most specifically focuses on the latest iteration of the urban greenery frenzy: the Gardens of the Nation. By studying how this nationwide urban greenery drive has been designed, promoted, discussed, inaugurated, and used, this article provides an account for the critical role green aesthetics play in conjuring up alternative environmental imaginaries and communities against the backdrop of a populist authoritarian climate.
Development and Internal Validation of the ARISE Prediction Models for Rebleeding After Aneurysmal Subarachnoid Hemorrhage
Authors: van Lieshout Jasper Hans , Mijderwijk Hendrik-Jan , Nieboer Daan , Lingsma Hester F. , Ahmadi Sebastian A. , Karadag Cihat , Muhammad Sajjad , Porčnik Andrej , Wasilewski David , Wessels Lars , van Donkelaar Carlina E. , van Dijk J. Marc C. , Hänggi Daniel , Boogaarts Hieronymus D.
Published: June 2022

BACKGROUND:

Aneurysmal rerupture is one of the most important determents for outcome after aneurysmal subarachnoid hemorrhage and still occurs frequently because individual risk assessment is challenging given the heterogeneity in patient characteristics and aneurysm morphology.

OBJECTIVE:

To develop and internally validate a practical prediction model to estimate the risk of aneurysmal rerupture before aneurysm closure.

METHODS:

We designed a multinational cohort study of 2 prospective hospital registries and 3 retrospective observational studies to predict the risk of computed tomography confirmed rebleeding within 24 and 72 hours after ictus. We assessed predictors with Cox proportional hazard regression analysis.

RESULTS:

Rerupture occurred in 269 of 2075 patients. The cumulative incidence equaled 7% and 11% at 24 and 72 hours, respectively. Our base model included hypertension, World Federation of Neurosurgical Societies scale, Fisher grade, aneurysm size, and cerebrospinal fluid drainage before aneurysm closure and showed good discrimination with an optimism corrected c-statistic of 0.77. When we extend the base model with aneurysm irregularity, the optimism-corrected c-statistic increased to 0.79.

CONCLUSION:

Our prediction models reliably estimate the risk of aneurysm rerupture after aneurysmal subarachnoid hemorrhage using predictor variables available upon hospital admission. An online prognostic calculator is accessible at https://www.evidencio.com/models/show/2626.
Site-Selective Spin-Probe with a Photocleavable Macrocyclic Linker for Measuring the Dynamics of Water Surrounding a Liposomal Assembly
Authors: Lee Gyeorye , Kageyama Yoshiyuki , Takeda Sadamu
Published: June 2022

There is a growing interest in the behavior of water on the hydration layer of a soft matter surface in order to develop wet materials that can function in an aqueous environment and to increase the understanding of complex biological phenomena. Dynamic nuclear polarization (DNP), which increases the sensitivity of nuclear magnetic resonance (NMR) by enhancing the magnetization of nuclear spin with the magnetization of electron spin, has recently attracted attention as a method to measure the dynamics of water of hydration. The design of functional spin probes is expected to provide on-demand measurements. In this study, we report the results of an in-situ, site-selective measurement method of water surrounding liposomes using a photolyzable macrocycle. We succeeded in measuring the difference in water dynamics at two different regions around the liposomal membrane of the same sample by the photocleavage of an o-nitrobenzyl ether derivative.