bluuebunny/crossref_metadata_2025 huggingface dataset:
Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress
Authors: Hayford Rita K , Haley Olivia C , Cannon Ethalinda K , Portwood John L , Gardiner Jack M , Andorf Carson M , Woodhouse Margaret R
Published: May 2024

Background

Environmental stress factors, such as biotic and abiotic stress, are becoming more common due to climate variability, significantly affecting global maize yield. Transcriptome profiling studies provide insights into the molecular mechanisms underlying stress response in maize, though the functions of many genes are still unknown. To enhance the functional annotation of maize-specific genes, MaizeGDB has outlined a data-driven approach with an emphasis on identifying genes and traits related to biotic and abiotic stress.

Results

We mapped high-quality RNA-Seq expression reads from 24 different publicly available datasets (17 abiotic and seven biotic studies) generated from the B73 cultivar to the recent version of the reference genome B73 (B73v5) and deduced stress-related functional annotation of maize gene models. We conducted a robust meta-analysis of the transcriptome profiles from the datasets to identify maize loci responsive to stress, identifying 3,230 differentially expressed genes (DEGs): 2,555 DEGs regulated in response to abiotic stress, 408 DEGs regulated during biotic stress, and 267 common DEGs (co-DEGs) that overlap between abiotic and biotic stress. We discovered hub genes from network analyses, and among the hub genes of the co-DEGs we identified a putative NAC domain transcription factor superfamily protein (Zm00001eb369060) IDP275, which previously responded to herbivory and drought stress. IDP275 was up-regulated in our analysis in response to eight different abiotic and four different biotic stresses. A gene set enrichment and pathway analysis of hub genes of the co-DEGs revealed hormone-mediated signaling processes and phenylpropanoid biosynthesis pathways, respectively. Using phylostratigraphic analysis, we also demonstrated how abiotic and biotic stress genes differentially evolve to adapt to changing environments.

Conclusions

These results will help facilitate the functional annotation of multiple stress response gene models and annotation in maize. Data can be accessed and downloaded at the Maize Genetics and Genomics Database (MaizeGDB).
Differential gene expression and immune cell infiltration in maedi-visna virus-infected lung tissues
Authors: Shi Xiaona , Zhang Yufei , Chen Sixu , Du Xiaoyue , Zhang Pei , Duan Xujie , Fang Hui , Liu Shuying
Published: May 2024

Background

Maedi-visna virus (MVV) is a lentivirus that infects monocyte/macrophage lineage cells in sheep, goats, and wild ruminants and causes pneumonia, mastitis, arthritis, and encephalitis. The immune response to MVV infection is complex, and a complete understanding of its infection and pathogenesis is lacking. This study investigated the in vivo transcriptomic patterns of lung tissues in sheep exposed to MVV using the RNA sequencing technology.

Result

The results indicated that 2,739 genes were significantly differentially expressed, with 1,643 downregulated genes and 1,096 upregulated genes. Many variables that could be unique to MVV infections were discovered. Gene Ontology analysis revealed that a significant proportion of genes was enriched in terms directly related to the immune system and biological responses to viral infections. Kyoto Encyclopedia of Genes and Genomes analysis revealed that the most enriched pathways were related to virus-host cell interactions and inflammatory responses. Numerous immune-related genes, including those encoding several cytokines and interferon regulatory factors, were identified in the protein-protein interaction network of differentially expressed genes (DEGs). The expression of DEGs was evaluated using real-time polymerase chain reaction and western blot analysis. CXCL13, CXCL6, CXCL11, CCR1, CXCL8, CXCL9, CXCL10, TNFSF8, TNFRSF8, IL7R, IFN-γ, CCL2, and MMP9 were upregulated. Immunohistochemical analysis was performed to identify the types of immune cells that infiltrated MVV-infected tissues. B cells, CD4+ and CD8+ T cells, and macrophages were the most prevalent immune cells correlated with MVV infection in the lungs.

Conclusion

Overall, the findings of this study provide a comprehensive understanding of the in vivo host response to MVV infection and offer new perspectives on the gene regulatory networks that underlie pathogenesis in natural hosts.
Peptidoglycan endopeptidase MepM of uropathogenic Escherichia coli contributes to competitive fitness during urinary tract infections
Authors: Huang Wen-Chun , Dwija Ida Bagus Nyoman Putra , Hashimoto Masayuki , Wu Jiunn-Jong , Wang Ming-Cheng , Kao Cheng-Yen , Lin Wei-Hung , Wang Shuying , Teng Ching-Hao
Published: May 2024

Background

Urinary tract infections (UTIs) are common bacterial infections, primarily caused by uropathogenic Escherichia coli (UPEC), leading to significant health issues and economic burden. Although antibiotics have been effective in treating UPEC infections, the rise of antibiotic-resistant strains hinders their efficacy. Hence, identifying novel bacterial targets for new antimicrobial approaches is crucial. Bacterial factors required for maintaining the full virulence of UPEC are the potential target. MepM, an endopeptidase in E. coli, is involved in the biogenesis of peptidoglycan, a major structure of bacterial envelope. Given that the bacterial envelope confronts the hostile host environment during infections, MepM’s function could be crucial for UPEC’s virulence. This study aims to explore the role of MepM in UPEC pathogenesis.

Results

MepM deficiency significantly impacted UPEC’s survival in urine and within macrophages. Moreover, the deficiency hindered the bacillary-to-filamentous shape switch which is known for aiding UPEC in evading phagocytosis during infections. Additionally, UPEC motility was downregulated due to MepM deficiency. As a result, the mepM mutant displayed notably reduced fitness in causing UTIs in the mouse model compared to wild-type UPEC.

Conclusions

This study provides the first evidence of the vital role of peptidoglycan endopeptidase MepM in UPEC’s full virulence for causing UTIs. MepM’s contribution to UPEC pathogenesis may stem from its critical role in maintaining the ability to resist urine- and immune cell-mediated killing, facilitating the morphological switch, and sustaining motility. Thus, MepM is a promising candidate target for novel antimicrobial strategies.
Exploring the dynamic adaptive responses of Epimedium pubescens to phosphorus deficiency by Integrated transcriptome and miRNA analysis
Authors: Liu Shangnian , An Xiaojing , Xu Chaoqun , Guo Baolin , Li Xianen , Chen Caixia , He Dongmei , Xu De , Li Yi
Published: May 2024

Phosphorus, a crucial macronutrient essential for plant growth and development. Due to widespread phosphorus deficiency in soils, phosphorus deficiency stress has become one of the major abiotic stresses that plants encounter. Despite the evolution of adaptive mechanisms in plants to address phosphorus deficiency, the specific strategies employed by species such as Epimedium pubescens remain elusive. Therefore, this study observed the changes in the growth, physiological reponses, and active components accumulation in E. pubescensunder phosphorus deficiency treatment, and integrated transcriptome and miRNA analysis, so as to offer comprehensive insights into the adaptive mechanisms employed by E. pubescens in response to phosphorus deficiency across various stages of phosphorus treatment. Remarkably, our findings indicate that phosphorus deficiency induces root growth stimulation in E. pubescens, while concurrently inhibiting the growth of leaves, which are of medicinal value. Surprisingly, this stressful condition results in an augmented accumulation of active components in the leaves. During the early stages (30 days), leaves respond by upregulating genes associated with carbon metabolism, flavonoid biosynthesis, and hormone signaling. This adaptive response facilitates energy production, ROS scavenging, and morphological adjustments to cope with short-term phosphorus deficiency and sustain its growth. As time progresses (90 days), the expression of genes related to phosphorus cycling and recycling in leaves is upregulated, and transcriptional and post-transcriptional regulation (miRNA regulation and protein modification) is enhanced. Simultaneously, plant growth is further suppressed, and it gradually begins to discard and decompose leaves to resist the challenges of long-term phosphorus deficiency stress and sustain survival. In conclusion, our study deeply and comprehensively reveals adaptive strategies utilized by E. pubescens in response to phosphorus deficiency, demonstrating its resilience and thriving potential under stressful conditions. Furthermore, it provides valuable information on potential target genes for the cultivation of E. pubescens genotypes tolerant to low phosphorus.
Sex differences in clinical risk factors in obese ischemic stroke patients with a history of smoking
Authors: Ojo Dami T. , Brewer Philip C. , Imeh-Nathaniel Adebobola , Imeh-Nathaniel Samuel , Broughton Philip X. , Nathaniel Thomas I.
Published: May 2024

Clinical risk factors associated obesity and smoking, as well as their combined effect, are not fully understood. This study aims to determine sex differences in risk factors in a population of acute ischemic stroke (AIS) patients who are obese and with a history of previous or current smoking.

Methods

A retrospective analysis of risk factors in male and female AIS patients with baseline data of obesity and current or previous history of smoking, smoking, and obesity alone was determined. The primary predictor and outcome are risk factors associated with male and female AIS patients. Baseline risk factors were analyzed using a multivariate regression analysis to determine specific risk factors linked with the combined effect of obesity and current or previous history of smoking’’.

Results

Male obese AIS patients who are current or previous smokers were more likely to be older patients(OR = 1.024, 95% CI, 1.022–1.047, P = 0.033) that present with coronary artery disease (OR = 1.806, 95% CI, 1.028–3.174, P = 0.040), a history of alcohol use (OR = 2.873, 95% CI, 1.349–6.166, P = 0.006), elevated serum creatinine (OR = 4.724, 95% CI, 2.171–10.281, P < 0.001) and systolic blood pressure (OR = 1.029, 95% CI, 1.011–1.047, P < 0.002). Females were more associated with depression (OR = 0.432, 95% CI, 0.244–0.764, P = 0.004), previous TIA (OR = 0.319, 95% CI, 0.142–0.714, P < 0.005), and higher levels of HDL (OR = 0.938, 95% CI, 0.915–0.962, P < 0.001).

Conclusion

Our results reveal sex differences in risk factors in obese AIS patients with a current or past history of smoking. This finding emphasizes the need to develop management strategies to improve the care of obese AIS patients who are either current or former smokers.
Incorporating preoperative frailty to assist in early prediction of postoperative pneumonia in elderly patients with hip fractures: an externally validated online interpretable machine learning model
Authors: Dai Anran , Liu Hao , Shen Po , Feng Yue , Zhong Yi , Ma Mingtao , Hu Yuping , Huang Kaizong , Chen Chen , Xia Huaming , Yan Libo , Si Yanna , Zou Jianjun
Published: May 2024

Background

This study aims to implement a validated prediction model and application medium for postoperative pneumonia (POP) in elderly patients with hip fractures in order to facilitate individualized intervention by clinicians.

Methods

Employing clinical data from elderly patients with hip fractures, we derived and externally validated machine learning models for predicting POP. Model derivation utilized a registry from Nanjing First Hospital, and external validation was performed using data from patients at the Fourth Affiliated Hospital of Nanjing Medical University. The derivation cohort was divided into the training set and the testing set. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression were used for feature screening. We compared the performance of models to select the optimized model and introduced SHapley Additive exPlanations (SHAP) to interpret the model.

Results

The derivation and validation cohorts comprised 498 and 124 patients, with 14.3% and 10.5% POP rates, respectively. Among these models, Categorical boosting (Catboost) demonstrated superior discrimination ability. AUROC was 0.895 (95%CI: 0.841–0.949) and 0.835 (95%CI: 0.740–0.930) on the training and testing sets, respectively. At external validation, the AUROC amounted to 0.894 (95% CI: 0.821–0.966). The SHAP method showed that CRP, the modified five-item frailty index (mFI-5), and ASA body status were among the top three important predicators of POP.

Conclusion

Our model’s good early prediction ability, combined with the implementation of a network risk calculator based on the Catboost model, was anticipated to effectively distinguish high-risk POP groups, facilitating timely intervention.
Social-emotional and behavioural problems in young children of healthcare worker mothers during the COVID-19 outbreak: a case-control study
Authors: Us Mahmut Caner , Boran Perran , Yalçın Sıddika Songül , Savcı Refia Gözdenur , Kural Bahar , Özdemir Dilşad Foto
Published: May 2024

Background

The pandemic has had a significant impact on the daily lives of children and their families, particularly the children of health care workers, due to changes in family routines as a result of their parents’ work schedules. We aimed to explore the socioemotional and behavioural (SEB) problems of children of healthcare worker mothers (HCWM) during the COVID-19 pandemic and compare them with age-matched children and their mothers from other occupations.

Method

A case-control study design was applied, and a snowball approach was used to enrol volunteered participants aged between 6 and 36 months of age, through a Google survey. We used the Brief Infant-Toddler Social and Emotional Assessment (BITSEA) questionnaire to assess children’s SEB problems and a Brief Symptom Inventory (BSI) to evaluate the psychological distress of mothers. Differences in BITSEA, BSI and MSPSS scores were examined using chi-square and Mann-Whitney U tests, as appropriate. A logistic regression model was used to identify independent predictors of children’s behavioural and emotional problems.

Results

In total, 600 questionnaires were analysed. It was observed that children in the HCWM group were separated from their mothers more often and for longer periods of time than their counterparts (p < 0.010, p = 0.002). Changes in the child’s structured outdoor activities during the pandemic period were more likely to be observed in the HCWM group (p < 0.05). The percentage of children with the BITSEA problem subscale above the subclinical cut-off, externalizing and dysregulation scores were significantly higher in the HCWM group (p = 0.044, p = 0.031, and p = 0.016). Moreover, each point increase in BSI global index scores (p < 0.001, RR:3.34, 95%CI:1.91–5.82) was found as a risk factor for clinically significant SEB problems.

Conclusion

Overall, the current study suggests HCWM’s have experienced occupational inequality, and young children of HCWM’s were at increased risk for externalizing and dysregulation problems during the pandemic. Maternal psychological stress had a significant impact on their children’s socio-emotional well-being.
A comparative study of smooth muscle cell characteristics and myofibroblasts in processus vaginalis of pediatric inguinal hernia, hydrocele and undescended testis
Authors: Krishnan Nellai , Kakkar Aanchal , Nag Tapas Chandra , Agarwala Sandeep , Goel Prabudh , Dhua Anjan Kumar
Published: May 2024

Background

Congenital inguinal hernia, hydrocele and undescended testis (UDT) are associated with patent processus vaginalis. The smooth muscles present in the processus vaginalis aid in the descent of the testis and undergo programmed cell death after testicular descent leading to obliteration. The persisting amount of smooth muscle in the processus vaginalis influences the clinical outcome as inguinal hernia, hydrocele or UDT. Therefore, a study was conducted to evaluate the processus vaginalis in these three conditions to observe the presence and phenotype of smooth muscle cells and the presence of myofibroblasts.

Materials and methods

The processus vaginalis sacs in patients with inguinal hernia, hydrocele and UDT were examined using light microscopy for the presence and distribution of smooth muscle cells and immunohistochemical staining for vimentin, desmin, and α-smooth muscle actin (SMA) to identify the smooth muscle phenotype. Transmission electron microscopy was also performed in all the sacs to observe the presence of myofibroblasts.

Results

Seventy-eight specimens of processus vaginalis (from seventy-four patients), distributed as 47%, 27%, and 26% as inguinal hernia, hydrocele and UDT respectively, were included in the study. The sacs from inguinal hernia and hydrocele had significantly more presence of smooth muscles distributed as multiple smooth muscle bundles (p < 0.001). Desmin and SMA staining of smooth muscle cells was observed in significantly more sacs from hydrocele, followed by inguinal hernia and UDT (p < 0.001). The sacs from UDT had a significant presence of striated muscles (p = 0.028). The sacs from inguinal hernia had a significant presence of myofibroblasts, followed by hydrocele and UDT (p < 0.001) and this significantly correlated with the light microscopy and immunohistochemical features. The processus vaginalis sacs from four female patients did not differ statistically from the male inguinal hernia sacs in any of the above parameters.

Conclusion

The processus vaginalis sacs in pediatric inguinal hernia, hydrocele and undescended testis differ in the presence, distribution and phenotype of smooth muscles and the presence of myofibroblasts. The clinical presentations in these entities reflect these differences.
Influence of different processing techniques for prosthetic acrylic resins in the surface roughness parameters: a research article
Authors: Quezada Margarida Martins , Fernandes Carlos Miguel da Costa Gomes , Martín Javier Montero , Correia André Ricardo Maia , da Fonseca Patrícia Alexandra Barroso
Published: May 2024

Background

Different processing techniques are employed to obtain poly (methyl methacrylate) (PMMA) with consistent surface quality in terms of topography and tribological function. The purpose of this research is to evaluate its influence on the surface height distribution.

Methods

In this research, samples of conventional and CAD/CAM acrylic resins were prepared. The following surface roughness parameters were extracted from the profilometric readings: arithmetic mean roughness (Pa), skewness (Psk) and kurtosis (Pku). Profilometric profiles were additionally obtained.

Results

The average roughness (Pa) with the conventional technique was significantly higher compared to CAD/CAM (t = 4.595; P < 0.001). Heat-cured resins presented the highest mean Pa (F = 6.975; P = 0.06). Heat-cured and milled resins show lower coefficient variation (CV) values, indicating more consistent surface finishing. The surface profiles revealed distinct characteristics in terms of skewness and kurtosis.

Conclusions

The surface processing method, chemical composition and resin type significantly influence the surface finishing of the resin. The CAD/CAM resins exhibited superior results in terms of surface arithmetic mean roughness (Pa). However, heat-cured resin revealed to present the better surface consistency.
Effectiveness of empathy portfolios in developing professional identity formation in medical students: a randomized controlled trial
Authors: Baseer Munazza , Mahboob Usman , Shaheen Neelofar , Mehboob Bushra , S Abdullah Ayesha , Siddique Uzma
Published: May 2024

Background

Medical education requires innovative strategies to enhance empathic skills and the formation of professional identities among students. However, evidence-based teaching of empathy and professional identity formation is inadequately represented, particularly in medical curricula. This study investigated the effectiveness of empathy portfolios in developing Professional Identity Formation (PIF) among medical students and the correlation between empathy and PIF. The objectives of this study were to determine the effectiveness of empathy portfolios for teaching and nurturing PIF in medical students and to investigate the correlation between empathy and PIF.

Methods

A randomized controlled trial was conducted at Peshawar Medical College, Pakistan. The protocol adhered to CONSORT guidelines. A total of 120 students participated in the study. Empathy and PIF were assessed using two validated questionnaires JSPE-S and PIQ before randomization. The participants were randomized in a stratified fashion into the experimental (n = 60) and control (n = 60) groups. The Participants in the intervention group attended a training workshop on portfolio use. Students maintained their portfolios and wrote reflections on incidents that evoked empathy. Independent t-tests were performed to determine whether the control and experimental groups differed in terms of mean empathy and PIF scores, and Pearson’s correlation analyses were used to investigate the relationships between pre- and post-empathy, and pre-post-PIF.

Results

The mean post-test scores on the Empathy and PIF showed a statistically insignificant difference of 0.75 +-17.6 for empathy and 0.45 ± 8.36 for PIF. The intervention had little influence on empathy and PIF scores, as evidenced by nonsignificant effect sizes of 0.32 and 0.36 for empathy and PIF respectively.A strong positive correlation was found between Pre-Empathy and the PIF-Total score (0.519), and between Post- empathy and the PIF-Total score (0.395) (p < 0.001).

Conclusions

Empathy had a positive linear correlation with PIF; however, the use of empathy portfolios as a three-week single-point intervention was ineffective at nurturing PIF.
Exploring the tradeoff between data privacy and utility with a clinical data analysis use case
Authors: Im Eunyoung , Kim Hyeoneui , Lee Hyungbok , Jiang Xiaoqian , Kim Ju Han
Published: May 2024

Background

Securing adequate data privacy is critical for the productive utilization of data. De-identification, involving masking or replacing specific values in a dataset, could damage the dataset’s utility. However, finding a reasonable balance between data privacy and utility is not straightforward. Nonetheless, few studies investigated how data de-identification efforts affect data analysis results. This study aimed to demonstrate the effect of different de-identification methods on a dataset’s utility with a clinical analytic use case and assess the feasibility of finding a workable tradeoff between data privacy and utility.

Methods

Predictive modeling of emergency department length of stay was used as a data analysis use case. A logistic regression model was developed with 1155 patient cases extracted from a clinical data warehouse of an academic medical center located in Seoul, South Korea. Nineteen de-identified datasets were generated based on various de-identification configurations using ARX, an open-source software for anonymizing sensitive personal data. The variable distributions and prediction results were compared between the de-identified datasets and the original dataset. We examined the association between data privacy and utility to determine whether it is feasible to identify a viable tradeoff between the two.

Results

All 19 de-identification scenarios significantly decreased re-identification risk. Nevertheless, the de-identification processes resulted in record suppression and complete masking of variables used as predictors, thereby compromising dataset utility. A significant correlation was observed only between the re-identification reduction rates and the ARX utility scores.

Conclusions

As the importance of health data analysis increases, so does the need for effective privacy protection methods. While existing guidelines provide a basis for de-identifying datasets, achieving a balance between high privacy and utility is a complex task that requires understanding the data’s intended use and involving input from data users. This approach could help find a suitable compromise between data privacy and utility.
Healthcare use and costs in the last six months of life by level of care and cause of death
Authors: Michel Yvonne Anne , Aas Eline , Augestad Liv Ariane , Burger Emily , Thoresen Lisbeth , Bjørnelv Gudrun Maria Waaler
Published: May 2024

Background

Existing knowledge on healthcare use and costs in the last months of life is often limited to one patient group (i.e., cancer patients) and one level of healthcare (i.e., secondary care). Consequently, decision-makers lack knowledge in order to make informed decisions about the allocation of healthcare resources for all patients. Our aim is to elaborate the understanding of resource use and costs in the last six months of life by describing healthcare use and costs for all causes of death and by all levels of formal care.

Method

Using five national registers, we gained access to patient-level data for all individuals who died in Norway between 2009 and 2013. We described healthcare use and costs for all levels of formal care—namely primary, secondary, and home- and community-based care —in the last six months of life, both in total and differentiated across three time periods (6-4 months, 3-2 months, and 1-month before death). Our analysis covers all causes of death categorized in ten ICD-10 categories.

Results

During their last six months of life, individuals used an average of healthcare resources equivalent to €46,000, ranging from €32,000 (Injuries) to €64,000 (Diseases of the nervous system and sense organs). In terms of care level, 63% of healthcare resources were used in home- and community-based care (i.e., in-home nursing, practical assistance, or nursing home care), 35% in secondary care (mostly hospital care), and 2% in primary care (i.e., general practitioners). The amount and level of care varied by cause of death and by time to death. The proportion of home- and community-based care which individuals received during their last six months of life varied from 38% for cancer patients to 92% for individuals dying with mental diseases. The shorter the time to death, the more resources were needed: nearly 40% of all end-of-life healthcare costs were expended in the last month of life across all causes of death. The composition of care also differed depending on age. Individuals aged 80 years and older used more home- and community-based care (77%) than individuals dying at younger ages (40%) and less secondary care (old: 21% versus young: 57%).

Conclusions

Our analysis provides valuable evidence on how much healthcare individuals receive in their last six months of life and the associated costs, broken down by level of care and cause of death. Healthcare use and costs varied considerably by cause of death, but were generally higher the closer a person was to death. Our findings enable decision-makers to make more informed resource-allocation decisions and healthcare planners to better anticipate future healthcare needs.
Utility of a virtual small group cognitive behaviour program for autistic children during the pandemic: evidence from a community-based implementation study
Authors: Lee Vivian , Vashi Nisha , Roudbarani Flora , Modica Paula Tablon , Pouyandeh Ava , Sellitto Teresa , Ibrahim Alaa , Ameis Stephanie H. , Elkader Alex , Gray Kylie M. , Kerns Connor M. , Lai Meng-Chuan , Lake Johanna , Thomson Kendra , Weiss Jonathan A.
Published: May 2024

Background

Autistic children often experience socioemotional difficulties relating to emotion regulation and mental health problems. Supports for autistic children involve the use of adapted interventions that target emotion regulation and social skills, alongside mental health symptoms. The Secret Agent Society Small Group (SAS: SG), an adapted cognitive behavioural program, has demonstrated efficacy through lab-delivered randomized control trials. However, research is still needed on its effectiveness when delivered by publicly funded, community-based autism providers under real-world ecologically valid conditions, especially within the context of a pandemic. The COVID-19 pandemic has disrupted access to community-based supports and services for autistic children, and programs have adapted their services to online platforms. However, questions remain about the feasibility and clinical utility of evidence-based interventions and services delivered virtually in community-based settings.

Methods

The 9-week SAS: SG program was delivered virtually by seven community-based autism service providers during 2020–2021. The program included the use of computer-based games, role-playing tasks, and home missions. Caregivers completed surveys at three timepoints: pre-, post-intervention, and after a 3-month follow-up session. Surveys assessed caregivers’ perception of the program’s acceptability and level of satisfaction, as well as their child’s social and emotional regulation skills and related mental health challenges.

Results

A total of 77 caregivers (94% gender identity females; Mean = 42.1 years, SD = 6.5 years) and their children (79% gender identity males; Mean = 9.9 years, SD = 1.3 years) completed the SAS: SG program. Caregivers agreed that the program was acceptable (95%) and were highly satisfied (90%). Caregivers reported significant reduction in their child’s emotion reactivity from pre- to post-intervention (-1.78 (95% CI, -3.20 to -0.29), p = 0.01, d = 0.36), that continued to decrease after the 3-month booster session (-1.75 (95% CI, -3.34 to -0.16), p = 0.02, d = 0.33). Similarly, improvements in anxiety symptoms were observed (3.05 (95% CI, 0.72 to 5.36), p = 0.006, d = 0.39).

Conclusions

As online delivery of interventions for autistic children remains popular past the pandemic, our findings shed light on future considerations for community-based services, including therapists and agency leaders, on how best to tailor and optimally deliver virtually based programming.

Trial registration

This study has been registered with ISRCTN Registry (ISRCTN98068608) on 15/09/2023. The study was retroactively registered.
The implications of using maternity care deserts to measure progress in access to obstetric care: a mixed-integer optimization analysis
Authors: Meredith Meghan E. , Steimle Lauren N. , Radke Stephanie M.
Published: May 2024

Background

Lack of access to risk-appropriate maternity services, particularly for rural residents, is thought to be a leading contributor to disparities in maternal morbidity and mortality. There are several existing measures of access to obstetric care in the literature and popular media. In this study, we explored how current measures of obstetric access inform the number and location of additional obstetric care facilities required to improve access.

Methods

We formulated two facility location optimization models to determine the number of new facilities required to minimize the number of reproductive-aged women who lack access to obstetric care. We define regions with a lack of access as either maternity care deserts, designated by the March of Dimes to be counties with no obstetric care facility or obstetric providers, or regions further than 50 miles from critical care obstetric (CCO) services. We gathered information on hospitals with obstetric services from Georgia Department of Public Health public reports and estimated the female reproductive-age population by census block group using the American Community Survey.

Results

Out of the 1,910,308 reproductive-aged women who live in Georgia, 104,158 (5.5%) live in maternity care deserts, 150,563 (7.9%) reproductive-aged women live further than 50 miles from CCO services, and 38,202 (2.0%) live in both maternity care desert and further than 50 miles from CCO services. Our optimization analysis suggests that at least 56 new obstetric care facilities (a 67% increase) would be required to eliminate maternity care deserts in Georgia. However, the expansion of 8 facilities would ensure all women in Georgia live within 50 miles of CCO services.

Conclusions

Current measures of access to obstetric care may not be sufficient for evaluating access and planning action toward improvements. In a state like Georgia with a large number of small counties, eliminating maternity care deserts would require a prohibitively large number of new obstetric care facilities. This work suggests that additional measures and tools are needed to estimate the number and type of obstetric care facilities that best match practical resources to meet obstetric care needs.
Increasing the sensitivity and accuracy of detecting exosomes as biomarkers for cancer monitoring using optical nanobiosensors
Authors: Yasamineh Saman , Nikben Naghmeh , Hamed Ahmed Mareb , Abdul Kareem Radhwan , Kadhim Al-Aridhy Ameer , Hosseini Hooshiar Mohammad
Published: May 2024

The advancement of nanoscience and material design in recent times has facilitated the creation of point-of-care devices for cancer diagnosis and biomolecule sensing. Exosomes (EXOs) facilitate the transfer of bioactive molecules between cancer cells and diverse cells in the local and distant microenvironments, thereby contributing to cancer progression and metastasis. Specifically, EXOs derived from cancer are likely to function as biomarkers for early cancer detection due to the genetic or signaling alterations they transport as payload within the cancer cells of origin. It has been verified that EXOs circulate steadily in bodily secretions and contain a variety of information that indicates the progression of the tumor. However, acquiring molecular information and interactions regarding EXOs has presented significant technical challenges due to their nanoscale nature and high heterogeneity. Colorimetry, surface plasmon resonance (SPR), fluorescence, and Raman scattering are examples of optical techniques utilized to quantify cancer exosomal biomarkers, including lipids, proteins, RNA, and DNA. Many optically active nanoparticles (NPs), predominantly carbon-based, inorganic, organic, and composite-based nanomaterials, have been employed in biosensing technology. The exceptional physical properties exhibited by nanomaterials, including carbon NPs, noble metal NPs, and magnetic NPs, have facilitated significant progress in the development of optical nanobiosensors intended for the detection of EXOs originating from tumors. Following a summary of the biogenesis, biological functions, and biomarker value of known EXOs, this article provides an update on the detection methodologies currently under investigation. In conclusion, we propose some potential enhancements to optical biosensors utilized in detecting EXO, utilizing various NP materials such as silicon NPs, graphene oxide (GO), metal NPs, and quantum dots (QDs).
Reliability of the quality of life-aged care consumers (QOL-ACC) and EQ-5D-5L among older people using aged care services at home
Authors: Khadka Jyoti , Milte Rachel , Hutchinson Claire , Cleland Jenny , Ratcliffe Julie
Published: May 2024

Purpose

The Quality of Life-Aged Care Consumers (QOL-ACC), a valid preference-based instrument, has been rolled out in Australia as part of the National Quality Indicator (QI) program since April 2023 to monitor and benchmark the quality of life of aged care recipients. As the QOL-ACC is being used to collect quality of life data longitudinally as one of the key aged care QI indicators, it is imperative to establish the reliability of the QOL-ACC in aged care settings. Therefore, we aimed to assess the reliability of the QOL-ACC and compare its performance with the EQ-5D-5L.

Methods

Home care recipients completed a survey including the QOL-ACC, EQ-5D-5L and two global items for health and quality of life at baseline (T1) and 2 weeks later (T2). Using T1 and T2 data, the Gwet’s AC2 and intra-class correlation coefficient (ICC) were estimated for the dimension levels and overall scores agreements respectively. The standard error of measurement (SEM) and the smallest detectable change (SDC) were also calculated. Sensitivity analyses were conducted for respondents who did not change their response to global item of quality of life and health between T1 and T2.

Results

Of the 83 respondents who completed T1 and T2 surveys, 78 respondents (mean ± SD age, 73.6 ± 5.3 years; 56.4% females) reported either no or one level change in their health and/or quality of life between T1 and T2. Gwet’s AC2 ranged from 0.46 to 0.63 for the QOL-ACC dimensions which were comparable to the EQ-5D-5L dimensions (Gwet’s AC2 ranged from 0.52 to 0.77). The ICC for the QOL-ACC (0.85; 95% CI, 0.77–0.90) was comparable to the EQ-5D-5L (0.83; 95% CI, 0.74–0.88). The SEM for the QOL-ACC (0.08) was slightly smaller than for the EQ-5D-5L (0.11). The SDC for the QOL-ACC and the EQ-5D-5L for individual subjects were 0.22 and 0.30 respectively. Sensitivity analyses stratified by quality of life and health status confirmed the base case results.

Conclusions

The QOL-ACC demonstrated a good test-retest reliability similar to the EQ-5D-5L, supporting its repeated use in aged care settings. Further studies will provide evidence of responsiveness of the QOL-ACC to aged care-specific interventions in aged care settings.
COVID-19 in three waves in a tertiary referral hospital in Belgium: a comparison of patient characteristics, management, and outcome
Authors: De Paepe Andreas , Vlieghe Erika , Brusselaers Nele , Soentjens Patrick , Theunissen Caroline , Brosius Isabel , Grouwels Jeroen , Van Petersen Lida , van Tiggelen Hanne , Verbrugghe Walter , Jorens Philippe G , Lapperre Thérèse , Peeters Karen , Vermeulen Griet , van Ierssel Sabrina H
Published: May 2024

Purpose

Few studies have compared patient characteristics, clinical management, and outcome of patients with COVID-19 between the different epidemic waves. In this study, we describe patient characteristics, treatment, and outcome of patients admitted for COVID-19 in the Antwerp University Hospital over the first three epidemic waves of 2020–2021.

Methods

Retrospective observational study of COVID-19 patients in a Belgian tertiary referral hospital. All adult patients with COVID-19, hospitalized between February 29, 2020, and June 30, 2021, were included. Standardized routine medical data was collected from patient records. Risk factors were assessed with multivariable logistic regression.

Results

We included 722 patients, during the first (n = 179), second (n = 347) and third (n = 194) wave. We observed the lowest disease severity at admission during the first wave, and more elderly and comorbid patients during the second wave. Throughout the subsequent waves we observed an increasing use of corticosteroids and high-flow oxygen therapy. In spite of increasing number of complications throughout the subsequent waves, mortality decreased each wave (16.6%,15.6% 11.9% in 1st, 2nd and 3rd wave respectively). C-reactive protein above 150 mg/L was predictive for the need for intensive care unit admission (odds ratio (OR) 3.77, 95% confidence interval (CI) 2.32–6.15). A Charlson comorbidity index ≥ 5 (OR 5.68, 95% CI 2.54–12.70) and interhospital transfers (OR 3.78, 95% CI 2.05–6.98) were associated with a higher mortality.

Conclusions

We observed a reduction in mortality each wave, despite increasing comorbidity. Evolutions in patient management such as high-flow oxygen therapy on regular wards and corticosteroid use may explain this favorable evolution.
Harvesting nature's bounty: exploring the ethnobotanical landscape of wild edible plants in the Awi Agäw community, Northwestern Ethiopia
Authors: Fassil Amare , Mazengia Ethiopia , Gebreamanuel Bekele , Dessie Yitayih , Kumera Bulti , Atnkut Belsti , Mullualem Destaw , Tsega Alemu , Van Damme Patrick
Published: May 2024

Background

Feeding the world's future population while still facing a variety of socioeconomic and climate change scenarios with uncertain outcomes is a key global societal concern that should be addressed in a science-based manner. Ethiopia boasts a great diversity of wild edible plant species (WEPS), but millions of its citizens still suffer from chronic hunger every year. In this context, we here document the use and conservation of WEPS in the Awi Agäw community, Northwestern Ethiopia.

Methods

We performed a cross-sectional study from October 2021 to June 2022. Ethnobotanical and conservation status data were collected via semi-structured interviews, focus group discussions, field walks and market surveys. A total of 374 respondents from three districts (Guangua, Jawi and Ankasha) were purposely selected for the study. Descriptive statistics, including preference rankings, frequencies and direct matrix rankings, were employed for the data analysis.

Results

We identified a total of 39 WEPS plant taxa distributed among 26 families and 32 genera. The Moraceae and Rosaceae had the greatest numbers of plants, with five and three species, respectively. The WEPS are regularly consumed in the study area to alleviate hunger. However, threats such as habitat loss, agricultural expansion, deforestation for firewood and other reasons, and pesticide use threaten WEPS availability.

Conclusion

Therefore, community-based conservation interventions need to be encouraged to safeguard WEPS and associated traditional knowledge. Furthermore, nutritional quality analysis is recommended for the selection of promising WEPS candidates.
The incidence of and risk factors for radiation pneumonitis in patients treated with simultaneous bevacizumab and thoracic radiotherapy
Authors: Chen Feihu , Niu Jiling , Wang Min , Zhu Hui , Guo Zhijun
Published: May 2024

Background

First-line chemotherapy combined with bevacizumab is one of the standard treatment modes for patients with advanced non-small cell lung cancer (NSCLC). Thoracic radiotherapy (TRT) can provide significant local control and survival benefits to patients during the treatment of advanced NSCLC. However, the safety of adding TRT has always been controversial, especially because of the occurrence of radiation pneumonia (RP) during bevacizumab treatment. Therefore, in this study, we used an expanded sample size to evaluate the incidence of RP when using bevacizumab in combination with TRT.

Patients and methods

Using an institutional query system, all medical records of patients with NSCLC who received TRT during first-line chemotherapy combined with bevacizumab from 2017 to 2020 at Shandong Cancer Hospital and Institute were reviewed. RP was diagnosed via computed tomography and was classified according to the RTOG toxicity scoring system. The risk factors for RP were identified using univariate and multivariate analyses. The Kaplan–Meier method was used to calculate progression-free survival (PFS) and overall survival (OS).

Results

Ultimately, 119 patients were included. Thirty-eight (31.9%) patients developed Grade ≥ 2 RP, of whom 27 (68.1%) had Grade 2 RP and 11 (9.2%) had Grade 3 RP. No patients developed Grade 4 or 5 RP. The median time for RP occurrence was 2.7 months (range 1.2–5.4 months). In univariate analysis, male, age, KPS score, V20 > 16.9%, V5 > 33.6%, PTV (planning target volume)-dose > 57.2 Gy, and PTV-volume > 183.85 cm3 were correlated with the occurrence of RP. In multivariate analysis, male, V20 > 16.9%, and PTV-volume > 183.85 cm3 were identified as independent predictors of RP occurrence. The mPFS of all patients was 14.27 (95% CI, 13.1–16.1) months. The one-year and two-year PFS rates were 64.9% and 20.1%, respectively. The mOS of all patients was 37.09 (95% CI, 33.8–42.0) months. The one-year survival rate of all patients was 95%, and the two-year survival rate was 71.4%.

Conclusions

The incidence of Grade ≥ 2 RP in NSCLC patients who received both bevacizumab and TRT was 31.9%. Restricting factors such as V20 and PTV will help reduce the risk of RP in these patients. For patients who receive both bevacizumab and TRT, caution should be exercised when increasing TRT, and treatment strategies should be optimized to reduce the incidence of RP.
Structural and viscosity studies of dendritic hyper branched polymer as viscosity index improvers
Authors: El-shazly Reham I. , Kamal Rasha S. , Farag Reem K.
Published: May 2024

Star-like structural compounds were synthesized from different moles % of either dodecyl acrylate or triethylenetetramine using a one-pot commercial synthesis technique. The polymers that were created had various terminations. Fourier Transform Infrared (FTIR) spectroscopy and 1HNMR were used to verify the produced polymers' chemical composition with different terminations. Furthermore, by analysis of Dynamic Light Scattering (DLS), the size and distribution of the synthesised branched polymers were evaluated. Using a Gel-permeation chromatograph, the modified hyperbranched polymer's molecular weight, synthesized with various end points, were assessed. The unorganized structured prepared compounds with various molar feed ratios dodecyl acrylate: triethylenetetramine (DDA: TETA) was designed as A, B, C, D and E. Moreover, the synthesized additives function as viscosity index improvers (VII). As the concentration of polymeric additives increases, it leads to higher VI values. Similarly, with the increase in percentage of triethylenetetramine in the prepared hyperbranched polymers, the VI also increases. Notably, the most effective VI achieved is (E) = 212. It is noteworthy that all the synthesized hyperbranched polymers exhibited Newtonian behavior in the rheological study.
Learning-based light field imaging: an overview
Authors: Mahmoudpour Saeed , Pagliari Carla , Schelkens Peter
Published: May 2024

Conventional photography can only provide a two-dimensional image of the scene, whereas emerging imaging modalities such as light field enable the representation of higher dimensional visual information by capturing light rays from different directions. Light fields provide immersive experiences, a sense of presence in the scene, and can enhance different vision tasks. Hence, research into light field processing methods has become increasingly popular. It does, however, come at the cost of higher data volume and computational complexity. With the growing deployment of machine-learning and deep architectures in image processing applications, a paradigm shift toward learning-based approaches has also been observed in the design of light field processing methods. Various learning-based approaches are developed to process the high volume of light field data efficiently for different vision tasks while improving performance. Taking into account the diversity of light field vision tasks and the deployed learning-based frameworks, it is necessary to survey the scattered learning-based works in the domain to gain insight into the current trends and challenges. This paper aims to review the existing learning-based solutions for light field imaging and to summarize the most promising frameworks. Moreover, evaluation methods and available light field datasets are highlighted. Lastly, the review concludes with a brief outlook for future research directions.