bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring selection signatures in the divergence and evolution of lipid droplet (LD) associated genes in major oilseed crops
Authors: Parakkunnel Ramya , K Bhojaraja Naik , Vanishree Girimalla , George Anjitha , KV Sripathy , YR Aruna , K Udaya Bhaskar , Anandan A , Kumar Sanjay 
Published: July 2024

Abstract
Background
Oil bodies or lipid droplets (LDs) in the cytosol are the subcellular storage compartments of seeds and the sites of lipid metabolism providing energy to the germinating seeds. Major LD-associated proteins are lipoxygenases, phospholipaseD, oleosins, TAG-lipases, steroleosins, caleosins and SEIPINs; involved in facilitating germination and enhancing peroxidation resulting in off-flavours. However, how natural selection is balancing contradictory processes in lipid-rich seeds remains evasive. The present study was aimed at the prediction of selection signatures among orthologous clades in major oilseeds and the correlation of selection effect with gene expression.

Results
The LD-associated genes from the major oil-bearing crops were analyzed to predict natural selection signatures in phylogenetically close-knit ortholog clusters to understand adaptive evolution. Positive selection was the major force driving the evolution and diversification of orthologs in a lineage-specific manner. Significant positive selection effects were found in 94 genes particularly in oleosin and TAG-lipases, purifying with excess of non-synonymous substitution in 44 genes while 35 genes were neutral to selection effects. No significant selection impact was noticed in Brassicaceae as against LOX genes of oil palm. A heavy load of deleterious mutations affecting selection signatures was detected in T-lineage oleosins and LOX genes of Arachis hypogaea. The T-lineage oleosin genes were involved in mainly anther, tapetum and anther wall morphogenesis. In Ricinus communis and Sesamum indicum > 85% of PLD genes were under selection whereas selection pressures were low in Brassica juncea and Helianthus annuus. Steroleosin, caleosin and SEIPINs with large roles in lipid droplet organization expressed mostly in seeds and were under considerable positive selection pressures. Expression divergence was evident among paralogs and homeologs with one gene attaining functional superiority compared to the other. The LOX gene Glyma.13g347500 associated with off-flavor was not expressed during germination, rather its paralog Glyma.13g347600 showed expression in Glycine max. PLD-α genes were expressed on all the tissues except the seed,δ genes in seed and meristem while β and γ genes expressed in the leaf.

Conclusions
The genes involved in seed germination and lipid metabolism were under strong positive selection, although species differences were discernable. The present study identifies suitable candidate genes enhancing seed oil content and germination wherein directional selection can become more fruitful.
Association of anaemia with indoor air pollution among older Indian adult population: multilevel modelling analysis of nationally representative cross-sectional study
Authors: Halder Pritam , Verma Madhur , Pal Saumyarup , Mishra Amit Kumar , Deori Trideep Jyoti , Biswas Riya , Tiwari Jaya , Mamgai Anshul , Rathor Shivani , Prabhakar Manish Chandra 
Published: July 2024

Abstract
Introduction
Anaemia is a disease of public health importance with multi-causal pathways. Previous literature suggests the role of indoor air pollution (IAP) on haemoglobin levels, but this has been studied less due to logistic constraints. A high proportion of the population in developing countries, including India, still depends on unclean fuel, which exacerbates IAP. The objective was to study the association between anaemia and IAP among the older Indian adult population (≥ 45 years) as per gender.

Methods
Our study analysed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017–18, Wave-1). We have documented the association of anaemia (outcome variable) with IAP (explanatory variable). To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was conducted. States and union territories were categorised cross tabulated as low, middle and high as per anaemia and IAP exposure. P value < 0.05 was considered statistically significant. SATA version 17 was used for analysis.

Results
More than half (52.52%) of the participants were exposed to IAP (male (53.55%) > female (51.63%)). The odds of having anaemia was significantly 1.19 times higher (AOR 1.19 (1.09–1.31)) among participants using unclean/ solid fuel. The adjusted odds were significantly higher among participants exposed to pollution-generating sources (AOR 1.30; 1.18–1.43), and household indoor smoking (AOR 1.17 (1.07–1.29). The odds of having anaemia were significantly higher (AOR 1.26; 1.15–1.38) among participants exposed to IAP, which was higher in males (AOR 1.36; 1.15–1.61) than females (AOR 1.21; 1.08–1.35). Empowered Action Group (EAG) states like Uttar Pradesh, Chhattisgarh, Madhya Pradesh, Bihar had both high anaemia and IAP exposure.

Conclusion
This study established the positive association of anaemia with indoor air pollution among older Indian adults through a nationally representative large dataset. The association was higher among men. Further research is recommended to understand detailed causation and to establish temporality. It is a high time to implement positive intervention nationally to decrease solid/ unclean fuel usage, vulnerable ventilation, indoor smoking, IAP and health hazards associated with these with more focused actions towards EAG states.
Liver autotransplantation and atrial reconstruction on a patient with multiorgan alveolar echinococcosis: a case report
Authors: Ruze Rexiati , Jiang Tiemin , Zhang Weimin , Zhang Mingming , Zhang Ruiqing , Guo Qiang , Aboduhelili Aboduhaiwaier , Zhayier Musitapa , Mahmood Ahmad , Yu Zhaoxia , Ye Jianrong , Shao Yingmei , Aji Tuerganaili 
Published: July 2024

Abstract
Background
Alveolar echinococcosis (AE) primarily affects the liver and potentially spreads to other organs. Managing recurrent AE poses significant challenges, especially when it involves critical structures and multiple major organs.

Case presentation
We present a case of a 59-year-old female with recurrent AE affecting the liver, heart, and lungs following two previous hepatectomies, the hepatic lesions persisted, adhering to major veins, and imaging revealed additional diaphragmatic, cardiac, and pulmonary involvement. The ex vivo liver resection and autotransplantation (ELRA), first in human combined with right atrium (RA) reconstruction were performed utilizing cardiopulmonary bypass, and repairs of the pericardium and diaphragm. This approach aimed to offer a potentially curative solution for lesions previously considered inoperable without requiring a donor organ or immunosuppressants. The patient encountered multiple serious complications, including atrial fibrillation, deteriorated liver function, severe pulmonary infection, respiratory failure, and acute kidney injury (AKI). These complications necessitated intensive intraoperative and postoperative care, emphasizing the need for a comprehensive management strategy in such complicated high-risk surgeries.

Conclusions
The multidisciplinary collaboration in this case proved effective and yielded significant therapeutic outcomes for a rare case of advanced hepatic, cardiac, and pulmonary AE. The combined approach of ELRA and RA reconstruction under extracorporeal circulation demonstrated distinct advantages of ELRA in treating complex HAE. Meanwhile, assessing diaphragm function during the perioperative period, especially in patients at high risk of developing pulmonary complications and undergoing diaphragmectomy is vital to promote optimal postoperative recovery. For multi-resistant infection, it is imperative to take all possible measures to mitigate the risk of AKI if vancomycin administration is deemed necessary.
Patterns and trends in melanoma mortality in the United States, 1999–2020
Authors: Didier Alexander J. , Nandwani Swamroop V. , Watkins Dean , Fahoury Alan M. , Campbell Andrew , Craig Daniel J. , Vijendra Divya , Parquet Nancy 
Published: July 2024

Abstract
Introduction
Melanoma, a deadly form of skin cancer, has witnessed a notable increase in incidence over the past decades. Despite advancements in treatment, it remains a significant cause of cancer mortality. Understanding demographic trends and variations in melanoma mortality is crucial for addressing disparities and implementing effective interventions.

Methods
Using the Centers for Disease Control Wide Ranging Online Data for Epidemiologic Research (CDC WONDER) database, we analyzed melanoma mortality data in the United States from 1999 to 2020. Data were stratified by demographic and regional variables, and age-adjusted mortality rates were calculated. Descriptive analysis was performed and Joinpoint regression analysis was employed to identify temporal trends.

Results
Between 1999 and 2020, there were 184,416 melanoma-related deaths in the United States Overall, the age-adjusted mortality rate declined from 2.7 to 2.0 per 100,000 people at a rate of -1.3% annually, with significant variations across demographic groups and regions. Men, non-Hispanic White individuals, and those aged > 65 experienced higher mortality rates. Non-Hispanic White individuals noted the steepest decrease in AAMR after 2013 at a rate of -6.1% annually. Disparities were seen by geographic density, with rural populations exhibiting higher mortality compared to their urban and suburban counterparts.

Conclusion
The study highlights a significant reduction in melanoma mortality in the U.S. since 2013, potentially attributed to advancements in diagnostic techniques such as dermoscopy and the introduction of immune checkpoint inhibitors. Disparities persist, particularly among rural populations. Targeted interventions focusing on increased screening and education are warranted to further mitigate melanoma mortality and address demographic disparities.
Exploring the interplay of psychiatric symptoms, antipsychotic medications, side effects, employment status, and quality of life in Chronic Schizophrenia
Authors: Zhou Dan-na , Yang Xue , Wang Wen , Jin Wen-qing , Tang Yi-lang , Zheng Zhi , Ren Yanping 
Published: July 2024

Abstract
Background
Many factors contribute to quality of life (QoL) in patients with schizophrenia, yet limited research examined these factors in patients in China. This cross-sectional study explores subjective QoL and its associated factors in patients.

Methods
The QoL was assessed using the Schizophrenia Quality of Life Scale (SQLS). Clinical symptoms were evaluated using the Brief Psychiatric Rating Scale (BPRS) and seven factors were extracted. Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder Scale (GAD-7) were used to assess depression and anxiety. Cognitive impairment was assessed using the Ascertain Dementia 8 (AD8). The Treatment Emergent Symptom Scale (TESS) and Rating Scale for Extrapyramidal Side Effects (RSESE) were used to evaluate the side effects of medications.

Results
We recruited 270 patients (male:142,52.6%, mean age:41.9 ± 9.4 years). Positive correlations were observed between SQLS and its subdomains with the total score of BPRS, PHQ-9, GAD-7, AD8, TESS, and RSESE (all P < 0.005). Patients who were taking activating second-generation antipsychotics (SGAs) had lower scores on total SQLS, Motivation/ Energy domain of SQLS (SQLS-ME) as well as Symptoms/ Side effects domain of SQLS (SQLS-SS) compared to those taking non-activating SGAs (all P < 0.005). Multiple regression analysis showed that depressive/ anxiety symptoms and cognitive impairment had significant negative effects on QoL (P ≤ 0.001), while activating SGAs had a positive effect (P < 0.005). Blunted affect and unemployment were inversely associated with the motivation/energy domain (P < 0.001).

Conclusion
Our findings emphasize the important role of depression/anxiety symptoms and cognitive impairment in the QoL of patients with chronic schizophrenia. Activating SGAs and employment may improve the QoL of these individuals.

Trial registration
This protocol was registered at chictr.org.cn (Identifier: ChiCTR2100043537).
Interaction effects between sleep-related disorders and depression on hypertension among adults: a cross-sectional study
Authors: Liu Chunhua , Ye Zegen , Chen Liping , Wang Huaqiang , Wu Binbin , Li Di , Pan Sisi , Qiu Weiwen , Ye Haiqin 
Published: July 2024

Abstract
Background
Hypertension, sleep disorders, and depression represent notable public health issues, and their interconnected nature has long been acknowledged. The objective of this study is to explore the interplay between sleep disorders and depression in the context of hypertension.

Methods
This cross-sectional study involved 42,143 participants aged 18 and above from the NHANES database across seven survey cycles between 2005 and 2018. After excluding those with missing data on depression, sleep disorders, and hypertension, as well as incomplete main variables, 33,383 participants remained. We used weighted logistic regression to examine the relationship between sleep disorders, depression, and hypertension. Additionally, we assessed the interaction between sleep disorders and depression on hypertension using both multiplicative and additive approaches to quantify their combined effect.

Results
Compared to individuals without sleep disorders, those with sleep disorders have an increased risk of hypertension (OR = 1.51, 95% CI: 1.37–1.67). Furthermore, individuals with depression experience a significantly higher risk of hypertension compared to those with sleep disorders alone (OR = 2.34, 95% CI: 1.95–2.80). Our study reveals a positive interaction between sleep disorders and depression in relation to hypertension risk (OR = 1.07, 95% CI: 1.02–1.13). In addition, we observed the quantitative additive interaction indicators (RERI = 0.73, 95% CI: 0.56 ~ 0.92; API = 0.31, 95% CI: 0.11 ~ 0.46; SI = 2.19, 95% CI: 1.08–3.46) influencing hypertension risk. Furthermore, our research also identified that individuals with less than 7 h of sleep, a sleep latency period between 5 and 30 min, or a latency period exceeding 30 min experience a significantly increased risk of hypertension.

Conclusions
Our research uncovered separate links between sleep disorders, depression, and hypertension prevalence. Moreover, we identified an interaction between depression and sleep disorders in hypertension prevalence. Enhancing mental well-being and tackling sleep disorders could help prevent and manage hypertension. Yet, more investigation is required to establish causation and clarify mechanisms.
SARS-CoV-2 seroprevalence among Beninese pregnant women in the third year of the pandemic
Authors: Figueroa-Romero Antía , Atchadé Aurore , Yadouleton Anges , Fiogbe Marc , Bonnet Emmanuel , Yovo Emmanuel , Accrombessi Manfred , Hounsa Sandrine , Paper Thierry , Dupont Raphael , Gaudart Jean , Le Hesran Jean-Yves , Massougbodji Achille , Cottrell Gilles , González Raquel 
Published: July 2024

Abstract
Background
Pregnant women are a vulnerable population to COVID-19 given an increased susceptibility to severe SARS-CoV-2 infection and pregnancy complications. However, few SARS-CoV-2 serological surveys have been performed among this population to assess the extent of the infection in sub-Saharan countries. The objectives of this study were to determine SARS-CoV-2 seroprevalence among Beninese pregnant women, to identify spatial seropositivity clusters and to analyse factors associated with the infection.

Methods
A cross-sectional study including women in their third trimester of pregnancy attending the antenatal care (ANC) clinics at Allada (south Benin) and Natitingou (north Benin) was conducted. Rapid diagnostic tests (RDT) for detection of IgG/IgM against the SARS-CoV-2 spike protein were performed using capillary blood. Seroprevalence of SARS-CoV-2 antibodies and associations between SARS-CoV-2 serostatus and maternal characteristics were analyzed by multivariate logistic regression. Spatial analyses were performed using the spatial scan statistics to identify spatial clusters of SARS-CoV-2 infection.

Results
A total of 861 pregnant women were enrolled between May 4 and June 29, 2022. 58/861 (6.7%) participants reported having received COVID-19 vaccine. None of the participants had been diagnosed with COVID-19 during their pregnancy. SARS-CoV-2 antibodies were detected in 607/802 (75.7%; 95% CI 72.56%–78.62%) of unvaccinated participants. Several urban and rural spatial clusters of SARS-CoV-2 cases were identified in Allada and one urban spatial cluster was identified in Natitingou. Unvaccinated participants from Allada with at least one previous morbidity were at a three-times higher risk of presenting SARS-CoV-2 antibodies (OR = 2.89; 95%CI 1.19%-7.00%).

Conclusion
Three out of four pregnant women had SARS-CoV-2 antibodies, suggesting a high virus circulation among pregnant women in Benin, while COVID-19 vaccination coverage was low. Pregnant women with comorbidities may be at increased risk of SARS-CoV-2 infection. This population should be prioritized for COVID-19 diagnosis and vaccination in order to prevent its deleterious effects.

Trial registration
NCT06170320 (retrospectively registered on December 21, 2023).
Associations between domains of sedentary behavior, well-being, and quality of life – a cross-sectional study
Authors: Teno Sabrina C. , Silva Marlene N. , Júdice Pedro B. 
Published: July 2024

Abstract The importance of reducing sedentary behavior (SB) in the prevention of mortality and chronic and mental diseases is scientifically well grounded, but SB can be accumulated in diverse domains of life, such as leisure-time SB, transport between home/work/school when sitting (transport-related SB), or in occupational settings such as working or studying (occupational SB), and the associations for each domain of SB with well-being measures and quality of life are still underexplored from a positive perspective. Through a cross-sectional investigation, we collected data from 584 participants who completed a questionnaire throughout November 2021 and with Spearman correlation test, analysed the associations between SB in three different domains with psychological well-being, satisfaction with life, and quality of life. Our results indicated that after adjustment for physical activity, sex, body mass index, smoking history, chronic disease status, financial perception, quality/duration of sleep and university group, in younger adults (18 to 24 years old), leisure-time SB was negatively related to psychological well-being (rho = -0.255; p = 0.008), and in adults (25 to 64 years old), occupational SB was negatively related to satisfaction with life (rho = -0.257; p < .001) and the mental component of quality of life (rho = -0.163; p = 0.027). Our findings highlight the idea that not all SB is built the same and that future strategies to reduce SB from people’s lives must target specific domains of SB according to the age group when aiming to improve well-being and quality of life.
Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia
Authors: Tao Yue , Ding Xin , Guo Wan-liang 
Published: July 2024

Abstract
Aim
To develop a decision-support tool for predicting extubation failure (EF) in neonates with bronchopulmonary dysplasia (BPD) using a set of machine-learning algorithms.

Methods
A dataset of 284 BPD neonates on mechanical ventilation was used to develop predictive models via machine-learning algorithms, including extreme gradient boosting (XGBoost), random forest, support vector machine, naïve Bayes, logistic regression, and k-nearest neighbor. The top three models were assessed by the area under the receiver operating characteristic curve (AUC), and their performance was tested by decision curve analysis (DCA). Confusion matrix was used to show the high performance of the best model. The importance matrix plot and SHapley Additive exPlanations values were calculated to evaluate the feature importance and visualize the results. The nomogram and clinical impact curves were used to validate the final model.

Results
According to the AUC values and DCA results, the XGboost model performed best (AUC = 0.873, sensitivity = 0.896, specificity = 0.838). The nomogram and clinical impact curve verified that the XGBoost model possessed a significant predictive value. The following were predictive factors for EF: pO2, hemoglobin, mechanical ventilation (MV) rate, pH, Apgar score at 5 min, FiO2, C-reactive protein, Apgar score at 1 min, red blood cell count, PIP, gestational age, highest FiO2 at the first 24 h, heart rate, birth weight, pCO2. Further, pO2, hemoglobin, and MV rate were the three most important factors for predicting EF.

Conclusions
The present study indicated that the XGBoost model was significant in predicting EF in BPD neonates with mechanical ventilation, which is helpful in determining the right extubation time among neonates with BPD to reduce the occurrence of complications.
Effectiveness of different intrusion modes of maxillary anterior teeth with mini-implants in clear aligner treatment: a three-dimensional finite element analysis
Authors: Xiao Tian , Su Jing-yuan , Lei Jie , Zhang Xin , Yu Jian , Nie Xiu-ping , Ying Qiao-hui , Hou Jun-xiang , Guo Jie 
Published: July 2024

Abstract
Background
The intrusion of maxillary anterior teeth is often required and there are various intrusion modes with mini-implants in clear aligner treatment. The objective of this study was to evaluate the effectiveness of maxillary anterior teeth intrusion with different intrusion modes, aiming to provide references for precise and safe intrusion movements in clinical practice.

Methods
Cone-beam computed tomography and intraoral optical scanning data of a patient were collected. Finite element models of the maxilla, maxillary dentition, periodontal ligaments (PDLs), clear aligner (CA), attachments, and mini-implants were established. Different intrusion modes of the maxillary anterior teeth were simulated by changing the mini-implant site (between central incisors, between central and lateral incisor, between lateral incisor and canine), loading site (between central incisors, on central incisor, between central and lateral incisor, between lateral incisor and canine), and loading mode (labial loading and labiolingual loading). Ten conditions were generated and intrusive forces of 100 g were applied totally. Then displacement tendency of the maxillary anterior teeth and CA, and stress of the PDLs were analyzed.

Results
For the central incisor under condition L14 and for the canine under conditions L11, L13, L23, and L33, the intrusion amount was negative. Under other conditions, the intrusion amount was positive. The labiolingual angulation of maxillary anterior teeth exhibited positive changes under all conditions, with greater changes under linguoincisal loading. The mesiodistal angulation of canine exhibited positive changes under labial loading, while negative changes under linguoincisal loading except for condition L14.

Conclusions
The intrusion amount, labiolingual and mesiodistal angulations of the maxillary anterior teeth were affected by the mini-implant site, loading site, and loading mode. Labial and linguoincisal loading may have opposite effects on the intrusion amount of maxillary anterior teeth and the mesiodistal angulation of canine. The labiolingual angulation of the maxillary incisors would increase under all intrusion modes, with greater increases under linguoincisal loading.