bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case Report: Stüve–Wiedemann syndrome—a rare cause of persistent pulmonary hypertension of the newborn
Authors: Jin Jessica , Rothämel Paula , Büchel Johanna , Kammer Birgit , Brunet Theresa , Pattathu Joseph , Flemmer Andreas W. , Nussbaum Claudia , Schroepf Sebastian 
Published: January 2024

IntroductionPersistent pulmonary hypertension of the newborn (PPHN) is a life-threatening condition characterized by hypoxemia due to elevated pulmonary vascular resistance. PPHN commonly arises secondary to various underlying conditions, including infection, meconium aspiration, and respiratory distress syndrome. Management includes pulmonary vasodilators, mechanical ventilation, oxygen supplementation, vasopressors, and volume replacement. Stüve–Wiedemann syndrome (SWS), a rare genetic disorder characterized by bone dysplasia, respiratory distress, hyperthermia, and swallowing difficulties, may present with pulmonary hypertension, indicating a poor prognosis.Case descriptionA term female neonate presented with secondary respiratory failure and severe PPHN of unknown etiology on the second day of life, necessitating intubation. Clinical findings included facial dysmorphia, camptodactyly, skeletal anomalies, and generalized muscular hypotonia. High-frequency oscillation ventilation and surfactant administration yielded marginal improvement. On the third day of life, a severe pulmonary hypertensive crisis necessitated inhaled and systemic pulmonary vasodilators along with volume and catecholamine therapy. Whole exome sequencing revealed a homozygous mutation in the leukemia inhibitory factor receptor (LIFR) gene, consistent with Stüve–Wiedemann syndrome.Discussion/conclusionThe case underscores the importance of considering and prompting evaluation of rare genetic causes in the differential diagnosis of PPHN, especially when other abnormalities are present and conventional therapies prove inadequate. Therapeutic strategies must account for the different pathophysiology of primary PPHN including vascular remodeling, as seen in SWS, which may not respond to pulmonary vasodilators typically employed in secondary PPHN due to vasoconstriction. In this case, the patient responded well to treatment for primary PPHN, but the use of high-frequency oscillation ventilation and surfactant was not helpful.
Investigations of potential non-amino acid SNAT2 inhibitors
Authors: Jakobsen Sebastian , Petersen Emilie Fynbo , Nielsen Carsten Uhd 
Published: January 2024

The sodium-coupled neutral amino acid transporter 2 (SNAT2, SLC38A2) has been implicated in cancer for its ability to supply cancer cells with glutamine and sarcosine. A recent high-throughput screen published by Gauthier-Coles et al. identified the non-amino acid 3-(N-methyl (4-methylphenyl)sulfonamido)-N-(2-trifluoromethylbenzyl)thiophene-2-carboxamide (MMTC or 57E) as a potent and selective SNAT2 inhibitor. Here we have investigated the ability of MMTC and four other compounds selected from the screen by Gauthier-Coles et al. to decrease 3H-Gly uptake in hyperosmotically treated human prostate cancer PC-3 cells. In these cells, SNAT2 is highly upregulated when the cells are hyperosmotically stressed for 24 h and is the primary contributor to glycine uptake. The five compounds were investigated at concentrations of 1–50 µM based on their equilibrium solubility. At 37°C the equilibrium solubility in HEPES buffered HBSS at pH 7.4 was measured to be 24.9 (53B), 56.1 (54F), 13.3 (55B), and 27.5 (57B) µM, respectively. The equilibrium solubility of MMTC was below the detection limit of the HPLC-UV method, thus less than 1.8 µM. However, a kinetic solubility of approximately 2.5–10 µM could be achieved during the course of the uptake study. In contrast to the previous publication, MMTC showed no inhibition of SNAT2-mediated 3H-Gly uptake in PC-3 cells at a concentration of 1 or 5 μM, despite a published IC50 of 0.8 µM. Similarly, 53B, 55B, and 57B showed no inhibition at soluble conditions, whereas 54F showed approximately 20% inhibition at 50 µM. In our experimental setup, the investigated compounds showed limited potential as SNAT2 inhibitors.
Estimating the frost damage index in lettuce using UAV-based RGB and multispectral images
Authors: Liu Yiwen , Ban Songtao , Wei Shiwei , Li Linyi , Tian Minglu , Hu Dong , Liu Weizhen , Yuan Tao 
Published: January 2024

IntroductionThe cold stress is one of the most important factors for affecting production throughout year, so effectively evaluating frost damage is great significant to the determination of the frost tolerance in lettuce.MethodsWe proposed a high-throughput method to estimate lettuce FDI based on remote sensing. Red-Green-Blue (RGB) and multispectral images of open-field lettuce suffered from frost damage were captured by Unmanned Aerial Vehicle platform. Pearson correlation analysis was employed to select FDI-sensitive features from RGB and multispectral images. Then the models were established for different FDI-sensitive features based on sensor types and different groups according to lettuce colors using multiple linear regression, support vector machine and neural network algorithms, respectively.Results and discussionDigital number of blue and red channels, spectral reflectance at blue, red and near-infrared bands as well as six vegetation indexes (VIs) were found to be significantly related to the FDI of all lettuce groups. The high sensitivity of four modified VIs to frost damage of all lettuce groups was confirmed. The average accuracy of models were improved by 3% to 14% through a combination of multisource features. Color of lettuce had a certain impact on the monitoring of frost damage by FDI prediction models, because the accuracy of models based on green lettuce group were generally higher. The MULTISURCE-GREEN-NN model with R2 of 0.715 and RMSE of 0.014 had the best performance, providing a high-throughput and efficient technical tool for frost damage investigation which will assist the identification of cold-resistant green lettuce germplasm and related breeding.
COL2-dependent photoperiodic floral induction in Nicotiana sylvestris seems to be lost in the N. sylvestris × N. tomentosiformis hybrid N. tabacum
Authors: Schmidt Florentin J. , Grundmann Lena , Lahme Michael , Seidemann Marvin , Schwarze Axel , Lichtenauer Sophie , Twyman Richard M. , Prüfer Dirk , Noll Gundula A. 
Published: January 2024

IntroductionPlants are sessile organisms that maximize reproductive success by adapting to their environment. One of the key steps in the reproductive phase of angiosperms is flower development, requiring the perception of multiple endogenous and exogenous signals integrated via a complex regulatory network. Key floral regulators, including the main transcription factor of the photoperiodic pathway (CONSTANS, CO) and the central floral pathway integrator (FLOWERING LOCUS T, FT), are known in many species.Methods and resultsWe identified several CO-like (COL) proteins in tobacco (Nicotiana tabacum). The NtCOL2a/b proteins in the day-neutral plant N. tabacum were most closely related to Arabidopsis CO. We characterized the diurnal expression profiles of corresponding genes in leaves under short-day (SD) and long-day (LD) conditions and confirmed their expression in phloem companion cells. Furthermore, we analyzed the orthologs of NtCOL2a/b in the maternal LD ancestor (N. sylvestris) and paternal, facultative SD ancestor (N. tomentosiformis) of N. tabacum and found that they were expressed in the same diurnal manner. NtCOL2a/b overexpression or knock-out using the CRISPR/Cas9 system did not support a substantial role for the CO homologs in the control of floral transition in N. tabacum. However, NsCOL2 overexpression induced flowering in N. sylvestris under typically non-inductive SD conditions, correlating with the upregulation of the endogenous NsFTd gene.DiscussionOur results suggest that NsFTd is transcriptionally regulated by NsCOL2 and that this COL2-dependent photoperiodic floral induction seems to be lost in N. tabacum, providing insight into the diverse genetics of photoperiod-dependent flowering in different Nicotiana species.
Seasonal dynamics of phyllosphere epiphytic microbial communities of medicinal plants in farmland environment
Authors: He Chao , Zhang Man , Li Xianen , He Xueli 
Published: January 2024

IntroductionThe phyllosphere of plants is inhabited by various microorganisms, which play a crucial role in plant physiological metabolism. Currently, there is limited research on the dynamic effects of species and seasons on plant phyllosphere microbial community diversity and microbial interactions.MethodsIn this study, high-throughput sequencing technology was used to sequence the leaf surface parasitic microorganisms of five medicinal plants (Bupleurum chinense, Atractylodes lancea, Salvia miltiorrhiza, Astragalus membranaceus, and Lonicera japonica).ResultsThe results showed that bacteria and fungi clustered into 3,898 and 1,572 operational taxonomic units (OTUs), respectively. Compared to host species, seasons had a more significant impact on the a diversity of bacteria and fungi. The heterogeneity of phyllosphere microbial communities was greater in winter compared to summer. Key species analysis at the OTU level and Spearman correlation analysis demonstrated significant preferences in microbial interactions under plant and seasonal backgrounds. The network connections between bacterial and fungal communities significantly increased during seasonal transitions compared to connections with plants.DiscussionThis study enhances our understanding of the composition and ecological roles of plant-associated microbial communities in small-scale agricultural environments. Additionally, it provides valuable insights for assessing the biodiversity of medicinal plants.
Does feeling what you eat change how you eat? Implications of an intervention to promote consciousness of eating experiences
Authors: Palazzo Carina Carlucci , Leghi Barbara Esteves , Diez-Garcia Rosa Wanda 
Published: January 2024

IntroductionThis work aims to understand the experience of participating in the Food and Nutrition Education Program workshops with Sensory and Cognitive Exercises (PESC) and measure its impact on eating behavior.MethodsThe PESC consists of four workshops with exercises stimulating perception and reflection on bodily sensations triggered in eating situations. It was developed to promote consciousness of eating experiences in women who reported difficulty in controlling their body weight and who increased over 5% of their body weight in the previous year. This is a mixed-methods study designed as a controlled trial. The intervention group (n = 19) was evaluated before the first workshop (T0) and after the last workshop (T1) and the control group (n = 18), which did not participate in the workshops, was evaluated twice (T0 and T1), with an interval of 3 to 4 weeks. At T0 and T1, it was applied the Intuitive Eating Scale (IES-2) and the Three Factor Eating Questionnaire (TFEQ-R21). In T1, the intervention group also participated in a qualitative interview.ResultsAfter participating in the PESC, the intervention group showed an increase in the IES-2 total score (95% Confidence Interval = (0.10, 0.39)) and a decrease in the emotional eating scale score (95% Confidence Interval = (−16.03; −3.85)). The interviews’ analysis revealed the participants’ self-observation process, which led to the perception of their practices, priorities, intentions, eating difficulties, and the connection between these aspects and environmental issues. The following themes were considered: Food management/control, Body dissatisfaction, Reflection/re-signification, and Different ways of being in familiar contexts.DiscussionThe results allow us to infer that, after participating in the PESC, the intention to manage food intake became more effective, less susceptible to oscillations imposed by the external environment, and more supported by internal resources.
African immigrants’ favorable preterm birth rates challenge genetic etiology of the Black-White disparity in preterm birth
Authors: Braveman Paula , Heck Katherine , Dominguez Tyan Parker , Marchi Kristen , Burke Wylie , Holm Nicole 
Published: January 2024

BackgroundWe examined over a million California birth records for 2010 through 2021 to investigate whether disparities in preterm birth (PTB) by nativity and race support the widely held but hitherto unsubstantiated belief that genetic differences explain the persistent Black-White disparity in PTB.MethodsWe examined PTB rates and risk ratios among African-, Caribbean-, and U.S.-born Black women compared to U.S.-born White women. Multivariate analyses adjusted for maternal age, education, number of live births, delivery payer, trimester of prenatal care initiation, pre-pregnancy BMI, smoking, and prevalence of poverty in a woman’s residence census tract; and for paternal education.ResultsIn adjusted analyses, African-born Black women’s PTB rates were no different from those of U.S.-born White women.DiscussionThe results add to prior evidence making a genetic etiology for the racial disparity in PTB unlikely. If genetic differences tied to “race” explained the Black-White disparity in PTB among U.S.-born women, the African immigrants in this study would have had higher rates of PTB, not the lower rates observed. Multiple explanations for the observed patterns and their implications are discussed. Failure to distinguish causes of PTB from causes of the racial disparity in PTB have likely contributed to erroneous attribution of the racial disparity to genetic differences. Based on the literature, unmeasured experiences of racism, including racism-related stress and adverse environmental exposures, are plausible explanations for the PTB disparity between Black and White U.S.-born women. The favorable birth outcomes of African-born Black immigrants may reflect less exposure to racism during sensitive life periods, e.g., childhood, when they were in African countries, where Black people are in the racial majority.
The association between health literacy and e-cigarette use: evidence from Zhejiang, China
Authors: Zhang Xuehai , Zhang Xinxin , Zhang Songjia , Ge Lizheng , Xu Yue , Yao Dingning , Hu Xiujing , Huang Zishuo , Zhu Tingting , Wang Zixia , Chen Chun 
Published: January 2024

ObjectivesThe worldwide popularity of electronic cigarettes (ECIG) is becoming a public health concern. Compared to conventional cigarettes (CIG), the harm caused by ECIG is more insidious. Studies have shown that lower health literacy (HL) is associated with CIG use; however, the relationship between HL and ECIG use remains controversial. Because ECIG emerged more recently than CIG, there are fewer relevant studies, and the sample populations and evaluation methods of HL in existing studies differ. This study conducted a large-sample survey to examine the relationship between HL and ECIG use.MethodsAs part of the 2022 China Health Literacy Survey, a total of 60,998 valid questionnaires were collected from September to November in 2022 using a stratified multistage probability proportional to the population size sampling frame. Chi-square tests and multinomial logistic regression was used to analyze the relationship between HL and ECIG use. Some demographic variables were included as covariates in the analysis.ResultsThe study showed that the average HL score and the HL level of Zhejiang residents in 2022 were 42.8 and 30.8%, respectively. The prevalence of CIG and ECIG was 19.7 and 1.0%, respectively; 19% of participants exclusively used CIG, while only 0.3% of participants used ECIG exclusively; dual users accounted for 0.6%. After adjusting for covariates, adequate HL was associated with lower odds of ECIG-exclusive use (odds ratio [OR] = 0.452, p &lt; 0.001), CIG-exclusive use (OR = 0.833, p &lt; 0.001), and dual use (OR = 0.632, p &lt; 0.001). Young age, male sex, unmarried status, high-income status, and absence of chronic disease were also associated with ECIG use.ConclusionHL was a protective factor against both patterns of ECIG use, especially ECIG-exclusive use. Health policymakers and public health practitioners should consider HL as a potential measure for ECIG control.
Feasibility and performance of continuous glucose monitoring in hyperglycemia after lung transplantation
Authors: Munoz Pena Juan M. , Algarra Kimberly , Kennedy Hannah , Leong Man Chong , Salloum Ramzi G. 
Published: January 2024

BackgroundPost-Transplant Diabetes Mellitus (PTDM) affects 20%–40% of lung transplant recipients within five years, impacting rejection, infection, cardiovascular events, and mortality. Continuous glucose monitoring (CGM) is used in diabetes but not well-studied in PTDM.ObjectiveThis study assessed CGM performance in detecting hypoglycemia and hyperglycemia post-lung transplantation, compared to self-monitoring blood glucose.MethodsA prospective pilot study included 15 lung transplant patients (mean age 58.6 years; 53.3% men; 73.3% with pre-transplantation diabetes) managing hyperglycemia with insulin. Patients used a blinded CGM and self-monitored glucose for ten days. Data were categorized (% time in range, % high, % very high, % low, % very low) and compared using paired t-tests.ResultsCGM showed superior hyperglycemia detection. Mean differences for “% very high”, “% high”, and “% high and % very high” were 7.12 (95% CI, 1.8–12.4), 11.1 (95% CI, 3.5–18.8), and 18.3 (95% CI: 7.37–29.24), respectively. No significant difference was found for “% low and % very low”. All patients reported a positive CGM experience.ConclusionCGM use post-lung transplantation seems feasible and offers advantages in detecting hyperglycemia and in optimizing glucose management. Study limitations include a small sample size, requiring larger studies to assess glycemic control, hypoglycemia detection, and transplant outcomes.
Land use classification in mine-agriculture compound area based on multi-feature random forest: a case study of Peixian
Authors: Xu Jiaxing , Chen Chen , Zhou Shutian , Hu Wenmin , Zhang Wei 
Published: January 2024

IntroductionLand use classification plays a critical role in analyzing land use/cover change (LUCC). Remote sensing land use classification based on machine learning algorithm is one of the hot spots in current remote sensing technology research. The diversity of surface objects and the complexity of their distribution in mixed mining and agricultural areas have brought challenges to the classification of traditional remote sensing images, and the rich information contained in remote sensing images has not been fully utilized.MethodsA quantitative difference index was proposed quantify and select the texture features of easily confused land types, and a random forest (RF) classification method with multi-feature combination classification schemes for remote sensing images was developed, and land use information of the mine-agriculture compound area of Peixian in Xuzhou, China was extracted.ResultsThe quantitative difference index proved effective in reducing the dimensionality of feature parameters and resulted in a reduction of the optimal feature scheme dimension from 57 to 22. Among the four classification methods based on the optimal feature classification scheme, the RF algorithm emerged as the most efficient with a classification accuracy of 92.38% and a Kappa coefficient of 0.90, which outperformed the support vector machine (SVM), classification and regression tree (CART), and neural network (NN) algorithm.ConclusionThe findings indicate that the quantitative differential index is a novel and effective approach for discerning distinct texture features among various land types. It plays a crucial role in the selection and optimization of texture features in multispectral remote sensing imagery. Random forest (RF) classification method, leveraging a multi-feature combination, provides a fresh method support for the precise classification of intricate ground objects within the mine-agriculture compound area.
Laparoscopic transabdominal preperitoneal herniorrhaphy performed using an articulating laparoscopic instrument is feasible and more efficient
Authors: Park Jung Hyun , Kim Dong Jin 
Published: January 2024

IntroductionIpsilateral left-sided-approach laparoscopic transabdominal preperitoneal herniorrhaphy (LA-TAPP) is a procedure used for inguinal hernia. However, conventional laparoscopic instruments may limit the operator's ability to approach certain areas during the procedure. This study aims to assess the feasibility of using an articulating bipolar grasper (ArtiSential®).Material and methodsBetween January 2017 and May 2022, 184 patients with inguinal hernia underwent LA-TAPP and were divided into an articulating group (AG) and a conventional group (CG). The two groups were compared for clinical characteristics, surgical outcomes, and recurrence rates. Learning curve analysis was also performed using the CUSUM score.ResultsThe AG and CG included 72 and 112 patients, respectively. Both groups had similar age, sex, BMI, hernia location, and hernia type. The AG had a significantly shorter operation time (59.2 ± 29.4 vs. 77.8 ± 22.4 min, p &lt; 0.001) than the CG. The duration of hospitalization was slightly shorter in the AG (2.2 ± 0.5 vs. 2.5 ± 1.4 days, p = 0.056). Postoperative complications were lower in the AG (5.6%) than in the CG (9.8%). Scrotal neuralgic pain was observed in 1.4% of patients in the AG and 3.6% of patients in the CG. Learning curve analysis revealed that 24 cases were needed to overcome the learning curve for using an articulating device.ConclusionIP-TAPP with an articulating instrument is a safe and efficient procedure. The operation time can be reduced by improving the surgeon's procedural autonomy and reducing collisions between the instruments and the patient's ribs.
Post-mortem feasibility of dual-energy computed tomography in the detection of bone edema-like lesions in the equine foot: a proof of concept
Authors: Germonpré Jolien , Vandekerckhove Louis M. J. , Raes Els , Chiers Koen , Jans Lennart , Vanderperren Katrien 
Published: January 2024

IntroductionIn this proof-of-concept study, the post-mortem feasibility of dual-energy computed tomography (DECT) in the detection of bone edema-like lesions in the equine foot is described in agreement with the gold standard imaging technique, which is magnetic resonance imaging (MRI).MethodsA total of five equine cadaver feet were studied, of which two were pathological and three were within normal limits and served as references. A low-field MRI of each foot was performed, followed by a DECT acquisition. Multiplanar reformations of DECT virtual non-calcium images were compared with MRI for the detection of bone edema-like lesions. A gross post-mortem was performed, and histopathologic samples were obtained of the navicular and/or distal phalanx of the two feet selected based on pathology and one reference foot.ResultsOn DECT virtual non-calcium imaging, the two pathological feet showed diffuse increased attenuation corresponding with bone edema-like lesions, whereas the three reference feet were considered normal. These findings were in agreement with the findings on the MRI. Histopathology of the two pathologic feet showed abnormalities in line with bone edema-like lesions. Histopathology of the reference foot was normal.ConclusionDECT virtual non-calcium imaging can be a valuable diagnostic tool in the diagnosis of bone edema-like lesions in the equine foot. Further examination of DECT in equine diagnostic imaging is warranted in a larger cohort, different locations, and alive animals.