bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of Hypertension in Pregnancy and Its Associated Sociodemographic Factors Among Mothers Aged 15-49 Years Old in Malaysia
Authors: Ratnam Kishwen Kanna Yoga , Suliman Mohd Azmi Bin , Sui Wan Kim , Tok Peter Seah Keng , Yusoff Muhammad Fadhli Bin Mohd 
Published: January 2024

Abstract

Background: Hypertensive disorders of pregnancy (HDP) pose a substantial public health concern, ranking among the primary contributors to maternal and perinatal morbidity and mortality, impacting around 5-10% of pregnancies. This study aimed to determine the prevalence of HDP and its associated risk factors among mothers aged 15-49 who recently gave birth within the last two years, throughout Malaysia, informing effective public health and primary care interventions.
Methods: This study was a part of the national survey on maternal and child health (MCH) also known as the NHMS 2022: MCH. This was a cross-sectional study using two stage stratified random sampling design. Data of mothers aged 15 – 49 years old who recently gave birth within the last two years were selected in this study. This survey utilised a set of structured validated questionnaires administered via face-to-face interviews (using a mobile device). Multiple logistic regression analysis was employed to identify the associated risk factors for hypertension.
Results: Among 6 335 participants recruited for this study with estimated population of 782, 550, the prevalence of HDP among Malaysian mother aged 15 -49 years old who recently gave birth within the last two years was 6.52% (95% CI: 5.76, 7.37). Multiple logistic regression shows that factors that have a significant association with hypertension were maternal age and ethnicity. Advanced maternal age had higher odds of hypertension compared to those below 35 years old, with an OR of 2.19 (95% CI = 1.64, 2.94). When compared to the Malays, Indians had lower odds of hypertension (OR = 0.44, 95% CI = 0.19, 0.99).
Conclusion: This knowledge is important for the early diagnosis and management of HDP to avoid adverse health outcomes in perinatal and postnatal mothers.
Silencing of LINC00221 Suppresses Glioblastoma Cell Migration and Invasion through miR-34c-5p/Snai1 and Regulation of Actin and Cytoskeletal Dynamics Proteins
Authors: Leung Dexter Hoi Long , Hassanudin Siti Ayuni , Sivalingam Mageswary , Abidin Syafiq Anawi Zainal , Ponnampalam Stephen Navendran , Ogawa Satoshi , Radhakrishnan Ammu K. , Kamarudin Muhamad Noor Alfarizal 
Published: January 2024

Abstract
The role of long non-coding RNAs (lncRNAs) in regulating cell motility in glioblastoma (GBM) remains largely unexplored as compared to other cancers. Our bioinformatic analyses of the microarray data of upregulated lncRNAs predicted the oncogenic role of LINC00221 in GBM cell motility. Quantitative PCR (qPCR) analysis confirmed that LINC00221 was upregulated in different GBM cell lines. While the transient silencing of LINC00221 decreased the A172 cell viability, the cell scratch closure in LN18 and T98G was suppressed. This was followed by reduced cell migration in both LN18 and T98G, but only decreased cell invasion in the latter. Furthermore, Snail and N-cadherin were only decreased in the LINC00221 silenced T98G (T98Gsi − LINC00221) but not LN18. Subsequent bioinformatic analysis predicted miR-34c-5p as a potential miRNA target downstream of LINC00221 and upstream of Snai1, which was confirmed by luciferase reporter assays. To further elucidate the molecular mechanisms involved, we identified the differentially expressed proteins (DEPs) from the proteome profiling of T98Gsi − LINC00221 and miR-34c-5p mimic transfection (T98GmiR − 34c−5p). Further enrichment of the DEPs in both T98Gsi − LINC00221 and T98GmiR − 34c−5p unveiled enriched pathways associated with the regulation of actin and cytoskeletal dynamics proteins. In summary, our findings establish the oncogenic role of LINC00221 in promoting both T98G and LN18 cell motility. Although LINC0221 exhibited the involvement of a Snai1-dependant mechanism, which is potentially modulated by miR-34c-5p in T98G, proteomic analysis further supported the regulation cell motility via the actin and cytoskeletal-related proteins following LINC00221 silencing in both GBM cells.
Risk Factors of Post-Partial Hepatectomy Acute Myocardial Infarction ： A Retrospective Nationwide Inpatient Sample Database Study
Authors: Li Pei , Wang Yifan , Zhou Qi , Shirong Chen , Xu Nuo , Gan Lu , Yang Qinfeng , Li Cai , Ling Wei 
Published: January 2024

Abstract

Background
The aftermath of partial hepatectomy often results in a severe condition known as acute myocardial infarction (AMI), which may lead to death and frequently necessitates coronary angiography-directed percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). Despite this, the occurrence and factors associated with AMI following partial hepatectomy have not been comprehensiveky investigated using a nationwide database.
Methods
This study utilized data from the National Inpatient Sample (NIS) database, covering the years 2015 to 2019, involving 81,735 patients who underwent partial hepatectomy and were categorized into two groups according to the occurrence of AMI. Patient demographics (age, sex, and race), hospital characteristics (type of admission and payer, and bed size, teaching status, and location), length of stay (LOS), total charges during hospitalization, in-hospital mortality, comorbidities, and perioperative complications were analyzed. A multivariate logistic regression analysis was conducted to ascertain independent predictors of acute myocardial infarction following partial hepatectomy.
Results
A total of 81,735 partial hepatectomies was identified from the National Inpatient Sample, with an overall incidence of in-hospital AMI post partial hepatectomy of 0.8%. Except for 2015, the annual incidence rate of AMI exhibited a downward trend from 2016 to 2019. Patients with AMI after partial hepatectomy were associated with prolonged hospitalization, overall expenses, usage of Medicare, and in-hospital mortality. Factors associated with AMI comprised advanced age (≥ 80 years), multiple comorbidities (n ≥ 6), coronary heart disease, congestive heart failure, coagulopathy, fluid and electrolyte disorders, neurological disorders and paralysis. Furthermore, AMI was associated with cardiac arrest, respiratory failure, acute renal failure, pulmonary embolism, stroke, gastrointestinal hemorrhage, thrombocytopenia, and pneumonia.
Conclusion
The present study revealed a relatively low occurrence of in-hospital AMI following partial hepatectomy, coupled with unfavorable outcomes. Exploring the risk factors associated with AMI post-partial hepatectomy is essential for optimal treatment and mitigating potential adverse outcomes.
Trial registration retrospectively registered
Memory at Will: Investigating Voluntary Utilization of Visual Working Memory Capacity
Authors: Kvitelashvili Shalva , Kessler Yoav 
Published: January 2024

Abstract
While a vast amount of research has focused on understanding the capacity limits of visual working memory (VWM), little is known about how VWM resources are employed in unforced behavior and how they correlate with individual capacity constraints. We present a novel, openly available and easy to administer paradigm, that enables participants to utilize their VWM capacity freely. Participants had to reconstruct an array of colored squares. In each trial they were allowed to alternate between the memory array and the reconstruction screen as many times as they wished, each time choosing how many items to reconstruct. This approach allowed us to estimate the number of utilized items, as well as the accuracy of the reconstruction. In addition, VWM capacity was measured using a change detection task. In two experiments we show that participants tend to under-utilize their VWM resources, performing well below their capacity limits. Surprisingly, while the extent to which participants utilized their VWM was highly reliable, it was uncorrelated with VWM capacity, suggesting that VWM utilization is limited due to strategic considerations rather than capacity limits.
Genetic dissection of QTLs linked to seed yield and its contributing traits in horsegram (Macrotyloma uniflorum)
Authors: Katoch Megha , Rana Maneet , Sharma T R , Chahota Rakesh Kumar 
Published: January 2024

Abstract
With continuous increase in world’s population, the main challenge among breeders is to increase food production with endurable utilization of available natural resources to accomplish a goal of zero hunger. Cultivating the nutritious underutilized crops could be a significant approach to address the issues of nutritional insecurity. Among 39 crops identified by FAO, horsegram is also considered as an important “Future Smart Food”. It has attracted interest amongst the scientific community due to its unparallel nutritional and pharmaceutical properties. Improving seed yield and related traits are main objectives of plant breeders for enhancing productivity in the crops. Horsegram lacks the information on the genetic structure of its yield contributing traits. The present study was aimed to dissect the quantitative trait loci of seed yield and its associated traits in horsegram by utilizing linkage map already developed in our lab of intraspecific F8 RIL population of 162 individuals derived from HPKM249×HPK4 cross. Phenotypic data of different years and locations were used to identify QTLs for yield related traits by composite interval mapping (CIM). A total of six QTLs (LOD ≥ 2.5) were detected across different environments for seed size, seeds per plant, pods per plant and yield per plant. These were major QTLs with phenotypic variation explained (PVE) greater than ten percent and one of them was stable QTL across different locations and years. Phenotypic variation explained by QTLs ranged from 10.8 to 20.16 per cent thus they are of economic importance.
Estimation of Vs30 and site classification of Bhaktapur District using Microtremor Array Measurement
Authors: Prajapati Roshan , Dhonju Salim , Bijukchhen Subeg Man , Shigefuji Michiko , Takai Nobuo 
Published: January 2024

Abstract

The past earthquakes have depicted the strong need for the study of seismic behavior of sediments. Shear wave velocity directly relates to elastic shear modulus of the material and helps to incorporate the behavior of the soil in a design of structure which can be determined invasively as well as non-invasively. Multi-sensory Microtremor Array Measurement (MAM) is one of the non-intrusive methods of determining a subsurface soil characteristic by analyzing ambient vibration of the ground. In this method several geophones either in a linear or grid configuration are deployed on a firm ground surface for recording the ambient vibration. The ambient vibration data obtained by employing seismometer array of different sizes can then be jointly processed to obtain the single combined dispersion curve for a site. We determined averaged shear wave velocity (Vs30) of Bhaktapur district by two ways using non-invasive method of MAM using dispersion curve. The first method lies in obtaining Vs30 from dispersion curve directly and the second method extracts Vs30 from the inversion process using Genetic Algorithm. The first approach is direct and doesn’t require any prior knowledge of geology of site while the later one gives the velocity structure for the study area. The Vs30 thus obtained was tallied with previous works which illustrated a good correlation. The Vs30 at the south eastern part of the study area is higher than in other parts of the study area. Similarly, Vs30 at the western part of the study area is lower. The soil of the study area is found to be composed of both hard and soft soil but it is categorized as type D soil (i.e. very soft soil sites) in the new building code of Nepal. Also, the Vs30 from first method had high correlation so was used for the classification of soil of the study area based on NEHRP site classification system. As per this classification system, the study area lies in a site class C, D and E respectively.
Utilizing Anthocyanin Incorporated Chitosan-Neem Gum Nanocomposites for Smart and Active Food Packaging Solutions
Authors: Soman Vishnu , Poddar Maneesh Kumar 
Published: January 2024

Abstract
The present work explores the potential of chitosan-neem gum nanocomposite films for potential application in active and smart food packaging. The incorporation of anthocyanin pigment allows consumers to visually assess the spoilage of packaged food. Scanning electron microscopy (SEM) analysis reveals a uniform structure and even nanoclay dispersion in cross-linked films, highlighting the effectiveness of ultrasound in dispersing components within the matrix. Fourier-transform infrared spectroscopy (FTIR) confirms successful cross-linking of chitosan and neem gum. Thermogravimetric analysis (TGA) demonstrates improved thermal stability in cross-linked films, a valuable trait for thermal sensitive packaging. Tensile testing indicates that neem gum content influences film flexibility, while cross-linking enhances strength and rigidity. The reduced water vapor permeability in cross-linked films extends shelf life. Swelling index data suggests film stability, and antimicrobial assays underline the potential for further optimization. This research highlights the promise of anthocyanin-incorporated chitosan-neem gum nanocomposite films in food packaging with significant scope for further developments.
Simultaneous profiling of 1-aminocyclopropane-1-carboxylic acid and selected phytohormones in plant tissues using liquid chromatography-tandem mass spectrometry
Authors: Karady Michal , Hladík Pavel , Cermanová Kateřina , Jiroutová Petra , Antoniadi Ioanna , Casanova-Sáez Rubén , Ljung Karin , Novák Ondřej 
Published: January 2024

Abstract
Background: Gaseous phytohormone ethylene levels are directly influenced by the production of its immediate non-volatile precursor 1-aminocyclopropane-1-carboxylic acid (ACC). Owing to the strongly acidic character of the ACC molecule, its quantification has been difficult to perform. Here, we present a simple and straightforward validated method for accurate quantification of not only ACC levels, but also major members of other important phytohormonal classes – auxins, cytokinins, jasmonic acid, abscisic acid and salicylic acid from the same biological sample.
Results: The presented technique facilitates the analysis of 15 compounds by liquid chromatography coupled with tandem mass spectrometry. It was optimized and validated for 10 mg of fresh weight plant material. The extraction procedure is composed of a minimal amount of necessary steps. Accuracy and precision were the basis for evaluating the method, together with process efficiency, recovery and matrix effects as validation parameters. The examined compounds comprise important groups of phytohormones, their active forms and some of their metabolites, including six cytokinins, four auxins, two jasmonates, abscisic acid, salicylic acid and 1-aminocyclopropane-1-carboxylic acid. The resulting method was used to examine their contents in selected Arabidopsis thaliana mutant lines.
Conclusion: This profiling method enables a very straightforward approach for indirect ethylene study and explores how it interacts, based on content levels, with other phytohormonal groups in plants.
Title: FAM83B Regulates Mitochondrial Metabolism and Anti-Apoptotic Activity in pulmonary adenocarcinoma
Authors: Wang Jiajia , Li Panpan , Sun Limin , Zhang Jing , Yue Ke , Wang Yan , Wu Xiaojuan 
Published: January 2024

Abstract
Background: Chemotherapy is an effective therapeutic modality; nevertheless, a significant proportion of patients diagnosed with lung adenocarcinoma (LUAD) demonstrate resistance to chemotherapy. Therefore, it is crucial to understand the potential regulatory mechanisms to develop novel treatment strategies.
Methods: Multiple assays, such as CCK8, wound healing, EdU, and transwell assays, were employed to confirm the augmented chemotherapy resistance, heightened cell proliferation, migration, and invasion caused by FAM83B overexpression in LUAD cells. Furthermore, MIMP, MTG, and ATP assays were utilized to quantify changes in mitochondria metabolism. In vitro functional assays were performed to evaluate the influence of FAM83B overexpression on the malignant progression and resistance mechanisms to chemotherapy in LUAD.
Results: In the context of this study, it was determined that LUAD patients with increased FAM83B expression had shorter survival times, and tissue samples with FAM83B overexpression were more prone to metastasis compared to primary samples. As a result, FAM83B is identified as an adverse prognostic marker. The mechanistic analysis demonstrated that FAM83B impedes the translocation of calbindin 2 (CALB2) from the cytoplasm to the mitochondria, resulting in the inhibition of apoptosis and the promotion of mitochondrial activity. Consequently, this ultimately confers resistance to chemotherapy in LUAD. Furthermore, the administration of metformin, which blocks mitochondrial oxidative phosphorylation (OXPHOS), can restore sensitivity to drug resistance in LUAD.
Conclusions: Taken together, these findings provide substantial evidence supporting the notion that FAM83B enhances chemotherapy resistance in LUAD through the upregulation of mitochondrial metabolism and the inhibition of apoptosis.
LDLR c.415G&gt;A causes familial hypercholesterolemia by weakening LDLR binding to LDL
Authors: Wang Kaihan , Hu Tingting , Tai Mengmeng , Shen Yan , Chai Haocheng , Lin Shaoyi , Chen Xiaomin 
Published: January 2024

Abstract
Background
Familial hypercholesterolemia (FH) is a prevalent hereditary disease that can cause aberrant cholesterol metabolism. In this study, we confirmed that c.415G > A in LDLR, an FH-related gene, is a deleterious mutation in FH by in silico analysis and functional experiments.
Methods
The proband and his family were evaluated by the diagnostic criteria of the Dutch Lipid Clinic Network. Whole-exome and Sanger sequencing were used to explore and validate FH-related mutations. In silico analyses were used to evaluate the pathogenicity of the candidate mutation and its impact on protein stability. Molecular and biochemical methods were performed to examine the effects of the LDLR c.415G > A mutation in vitro.
Results
Four of six participants had a diagnosis of FH according to the Dutch Lipid Clinic Network. The LDLR c.415G > A mutation in the family was predicted to be pathogenic. qPCR and western blotting suggested that LDLR c.415G > A does not affect the expression of LDLR. Functional studies showed that this mutation may lead to dyslipidemia by impairing the binding and absorption of LDLR to LDL.
Conclusion
LDLR c.415G > A is a pathogenic mutation in FH; it causes a significant reduction in LDLR's capacity to bind LDL, resulting in impaired LDL uptake. These findings expand the spectrum of mutations associated with FH.
A Single-center Retrospective Report Therapies and Treatment Responses for Hemophagocytic Lymphohistiocytosis in Children: Is Blood Purification Beneficial?
Authors: Yu Lihua , Lin Danna , Wu Li , Huang Lulu , Lai Xiaorong , Zhang Yajie , Zi Juan , Zhang Jingxin , Liao Xu , Liang Lichan , Zhang Guanmei , Yang Liucheng , Yang Lihua 
Published: January 2024

Abstract
Background
Hemophagocytic lymphohistiocytosis (HLH) is a severe and life-threatening systemic inflammatory disorder. This study aims to evaluate the effectiveness of different therapies and identify early treatment responses as potential indicators to adjust subsequent treatments.
Methods
A retrospective review of HLH patients was conducted at Zhujiang Hospital, Southern Medical University (Guangzhou, China) from January 1, 2012 to December 31, 2022. The study used Cox regression to identify prognostic risk factors. Causal mediation analysis assessed the impact of various treatments on overall survival, specifically through the mediator of complete remission at 4 or 8 weeks.
Results
The study involved 102 patients, with 31 receiving HLH-94 protocol treatment and 22 receiving HLH-04. Among 78 pediatric intensive care unit patients, 13 underwent blood purification alone, while 22 underwent blood purification with HLH-94/04 protocol treatment. Central nervous system involvement, elevated lactate dehydrogenase levels, and blood purification alone were associated with poor prognoses (P < 0.05). Achieving complete remission at 4 or 8 weeks is a positive prognostic indicator(P < 0.05). HLH-94/04 protocol treatments had higher survival rates (81.3% and 76.6%) than blood purification alone or combined with HLH-94/04 protocol treatments, which had significantly lower survival rates (23.4% and 15.4%). Patients who achieved complete remission at 4 or 8 weeks had a higher survival rate of 90.7% and 92.3%, respectively. Conversely, Partial or no response at 4 or 8 weeks had a significantly lower survival rate of 2.9% and 3.4%, respectively. Compared to HLH-94 protocol treatment, blood purification alone has a 33.28% effect mediated by inducing complete remission at 4 weeks, which decreases to 26.56% at 8 weeks. Blood purification combined with HLH-94/04 protocol treatment with higher mediation effect was 79.88% at 4 weeks compared to 51.95% at 8 weeks.
Conclusion
HLH-94/04 protocol treatments resulted in complete remission and improved survival rates compared to blood purification alone in pediatric HLH patients. Further investigation is necessary to determine the efficacy of blood purification in combination with these treatments. Comparing complete remission at 4 weeks to that at 8 weeks may be a better mediator on overall survival.
Multi-target and control group selection for multi-explanatory multi-output regression problem
Authors: Szűcs Gábor , Németh Marcell , Kiss Richárd 
Published: January 2024

Abstract

The problem of multi-output learning involves the simultaneous prediction of multiple outputs based on given inputs. This paper focuses on addressing this challenge, assuming that we can only monitor a subset of variables. This resource constraint led to a definition of a new kind of problem, that we call Multi-Explanatory Multi-Output Regression (MEMOR) task. The goal of MEMOR is to select explanatory variables that minimize the prediction error for target variables. The central question pertains to the optimal choice of a given number of variables to maximize the goodness of the regression. We propose two greedy approaches for identifying good explanatory variables, along with a linear approximation as a baseline. To evaluate the performance of the proposed algorithms, we compared the resulting explanatory variables with the optimal set obtained through an exhaustive search. Our greedy algorithms surpass the linear method with better regression results, while they are faster than the exhausted method. Both the MEMOR problem and the methods developed for it are well-suited for multi-dimensional data analysis with resource constraints.