bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review
Authors: Yu Catherine T. , Farhat Zeinab , Livinski Alicia A. , Loftfield Erikka , Zanetti Krista A. 
Published: July 2023

AbstractAn increasing number of cancer epidemiology studies use metabolomics assays. This scoping review characterizes trends in the literature in terms of study design, population characteristics, and metabolomics approaches and identifies opportunities for future growth and improvement. We searched PubMed/MEDLINE, Embase, Scopus, and Web of Science: Core Collection databases and included research articles that used metabolomics to primarily study cancer, contained a minimum of 100 cases in each main analysis stratum, used an epidemiologic study design, and were published in English from 1998 to June 2021. A total of 2,048 articles were screened, of which 314 full texts were further assessed resulting in 77 included articles. The most well-studied cancers were colorectal (19.5%), prostate (19.5%), and breast (19.5%). Most studies used a nested case–control design to estimate associations between individual metabolites and cancer risk and a liquid chromatography–tandem mass spectrometry untargeted or semi-targeted approach to measure metabolites in blood. Studies were geographically diverse, including countries in Asia, Europe, and North America; 27.3% of studies reported on participant race, the majority reporting White participants. Most studies (70.2%) included fewer than 300 cancer cases in their main analysis. This scoping review identified key areas for improvement, including needs for standardized race and ethnicity reporting, more diverse study populations, and larger studies.
Upregulated LncRNA H19 Sponges MiR-106a-5p and Contributes to Aldosterone-Induced Vascular Calcification via Activating the Runx2-Dependent Pathway
Authors: Li Xiong-Zhi , Xiong Zhuo-Chao , Zhang Shao-Ling , Hao Qing-Yun , Liu Zhao-Yu , Zhang Hai-Feng , Wang Jing-Feng , Gao Jing-Wei , Liu Pin-Ming 
Published: July 2023

BACKGROUND:
Excess aldosterone is implicated in vascular calcification (VC), but the mechanism by which aldosterone-MR (mineralocorticoid receptor) complex promotes VC is unclear. Emerging evidence indicates that long-noncoding RNA H19 (H19) plays a critical role in VC. We examined whether aldosterone-induced osteogenic differentiation of vascular smooth muscle cells (VSMCs) through H19 epigenetic modification of Runx2 (runt-related transcription factor-2) in a MR-dependent manner.

METHODS:
We induced in vivo rat model of chronic kidney disease using a high adenine and phosphate diet to explore the relationship among aldosterone, MR, H19, and VC. We also cultured human aortic VSMCs to explore the roles of H19 in aldosterone-MR complex–induced osteogenic differentiation and calcification of VSMCs.

RESULTS:
H19 and Runx2 were significantly increased in aldosterone-induced VSMC osteogenic differentiation and VC, both in vitro and in vivo, which were significantly blocked by the MR antagonist spironolactone. Mechanistically, our findings reveal that the aldosterone-activated MR bound to H19 promoter and increased its transcriptional activity, as determined by chromatin immunoprecipitation, electrophoretic mobility shift assay, and luciferase reporter assay. Silencing H19 increased microRNA-106a-5p (miR-106a-5p) expression, which subsequently inhibited aldosterone-induced Runx2 expression at the posttranscriptional level. Importantly, we observed a direct interaction between H19 and miR-106a-5p, and downregulation of miR-106a-5p efficiently reversed the suppression of Runx2 induced by H19 silencing.

CONCLUSIONS:
Our study clarifies a novel mechanism by which upregulation of H19 contributes to aldosterone-MR complex-promoted Runx2-dependent VSMC osteogenic differentiation and VC through sponging miR-106a-5p. These findings highlight a potential therapeutic target for aldosterone-induced VC.
A Deep Learning Filter for the Intraseasonal Variability of the Tropics
Authors: Stan Cristiana , Mantripragada Rama Sesha Sridhar 
Published: July 2023

Abstract
This paper presents a novel application of convolutional neural network (CNN) models for filtering the intraseasonal variability of the tropical atmosphere. In this deep learning filter, two convolutional layers are applied sequentially in a supervised machine learning framework to extract the intraseasonal signal from the total daily anomalies. The CNN-based filter can be tailored for each field similarly to fast Fourier transform filtering methods. When applied to two different fields (zonal wind stress and outgoing longwave radiation), the index of agreement between the filtered signal obtained using the CNN-based filter and a conventional weight-based filter is between 95% and 99%. The advantage of the CNN-based filter over the conventional filters is its applicability to time series with the length comparable to the period of the signal being extracted.

Significance Statement
This study proposes a new method for discovering hidden connections in data representative of tropical atmosphere variability. The method makes use of an artificial intelligence (AI) algorithm that combines a mathematical operation known as convolution with a mathematical model built to reflect the behavior of the human brain known as artificial neural network. Our results show that the filtered data produced by the AI-based method are consistent with the results obtained using conventional mathematical algorithms. The advantage of the AI-based method is that it can be applied to cases for which the conventional methods have limitations, such as forecast (hindcast) data or real-time monitoring of tropical variability in the 20–100-day range.
Observed Oceanic Surface Modes in the Northern South China Sea
Authors: Quan Qi , Liu Zhiqiang , Xue Huijie , Hu Jianyu , Wang Qiang , Zhang Han , Liu Xiaohui , Jin Guangzhen , Wang Ya Ping 
Published: July 2023

Abstract
Using observations and theoretical models, a substantial topographic modulation on the quasigeostrophic (QG) dynamics, which results in a primary surface mode distinct from the classic first baroclinic (BC1) mode with a flat bottom, is revealed in the northern South China Sea (NSCS). In contrast to open oceans, the surface-intensified modes decay downward more rapidly over the continental slope of the NSCS, with a mean e-folding scale of approximately 1/5 of water depth. The subinertial flow variability appears to be vertically incoherent, with planetary and topographic Rossby waves dominating in the upper and deep layers, respectively. With a larger deformation radius (Rd), the surface-mode Rossby waves propagate at a phase speed ∼1.5 times of that of the BC1 mode. Moreover, the modal structures can be substantially modified by seasonal NSCS circulation, which is significantly enhanced over continental slopes. Analysis of the triad interactions further implies that the short waves tend to transfer energy to larger scales via the inverse cascade and only those with wavelengths larger than Rd ≈ 70 km in the NSCS can persist because of a slower unstable growth rate but a higher fraction of upscale energy transfer. The present theory excludes the bottom-trapped mode, which is closely associated with topographic Rossby waves and is observed to be significant in the abyssal NSCS. Hence, a complete normal-mode basis for any QG state is required for a study that focuses on flow variability throughout the water column. Our findings provide an insight into the vertical partition of horizontal kinetic energy for QG motions, as well as the relevant oceanic variation in marginal seas.
Mechanism on the Short-Term Variability of the Atlantic Meridional Overturning Circulation in the Subtropical and Tropical Regions
Authors: Han Lei 
Published: July 2023

Abstract
The continuous, moored observation revealed significant variability in the strength of the Atlantic meridional overturning circulation (AMOC). The cause of such AMOC variability is an extensively studied subject. This study focuses on the short-term variability, which ranges up to seasonal and interannual time scales. A mechanism is proposed from the perspective of ocean water redistribution by layers. By offering explanations for four phenomena of AMOC variability in the subtropical and tropical oceans (seasonality, meridional coherence, layered-transport compensation as observed at 26.5°N, and the 2009/10 downturn that occurred at 26.5°N), this mechanism suggests that the short-term AMOC variabilities in the entire subtropical and tropical regions are governed by a basinwide adiabatic water redistribution process, or the so-called sloshing dynamics, rather than diapycnal processes.

Significance Statement
The Atlantic meridional overturning circulation (AMOC) is a key component in the global climate system due to its immense power in redistributing heat meridionally, which contributes to the hospitable climate of the United Kingdom and western Europe. Therefore, any changes in AMOC can have significant impacts on both global and local climate variability. Here I propose a mechanism to explain the short-term (up to interannual) AMOC variability in the subtropical and tropical regions from the perspective of ocean water redistribution. This mechanism suggests that the short-term variability of AMOC strength is dominated by an adiabatic process, and thus, its large-amplitude variation is mostly a reversible process. In other words, AMOC may be more resilient to short-term variability than previously believed, and it could recover autonomously from the abrupt changes.
Acupuncture improves certain aspects of sleep in hematopoietic stem cell transplantation patients: a secondary analysis of a randomized controlled trial
Authors: El Iskandarani Sarah , Sun Lingyun , Li Susan Qing , Pereira Gloria , Giralt Sergio , Deng Gary 
Published: July 2023

Background: High-dose chemotherapy followed by hematopoietic stem cell transplantation (HSCT) is associated with a high symptom burden including sleep disturbance. Here we present the results of a secondary analysis of a randomized, sham-controlled trial assessing the effect of acupuncture on sleep quality during HSCT. Methods: Adult multiple myeloma patients undergoing inpatient and outpatient autologous HSCT were randomized and blinded to receive either true or sham acupuncture (by licensed acupuncturists) once daily for 5 days starting the day after chemotherapy. Sleep onset, total sleep time, sleep efficiency percentage and sleep-onset latency time were assessed using an actigraphy-based sleep monitor. A multivariate regression analysis was conducted to compare the average area-under-the-curve of five acupuncture intervention days for each sleep outcome between groups, adjusted by baseline score and inpatient or outpatient chemotherapy stratum. Results: Over 32 months, 63 patients were enrolled. Participants undergoing true acupuncture experienced a significant improvement in sleep efficiency when compared to sham (−6.70, 95% CI −13.15, −0.25, p = 0.042). Subgroup analysis showed that the improvement was more prominent in the inpatient setting (−9.62, 95% CI −18.76, −0.47; p = 0.040). True acupuncture tended to improve wake time after sleep onset (WASO; −10.95, p = 0.054). Between-group differences in other sleep related variables were not statistically significant. Conclusion: Our data suggest that true acupuncture may improve certain aspects of sleep, including sleep efficiency and possibly WASO, in multiple myeloma patients undergoing HSCT. By studying patient reported outcomes in future larger scale studies, acupuncture’s role in improving sleep quality during HSCT treatment could be further elucidated. Trial registration number: NCT01811862 (ClinicalTrials.gov).
Text Message Reminders for Long-Acting Injectable Antipsychotics in Patients with Schizophrenia Spectrum Disorders
Authors: Chen Christina J. , Hilliard Wanda 
Published: July 2023

BACKGROUND: Individuals with schizophrenia spectrum disorders have a chronic disease process that is difficult to manage. Medication nonadherence increases the risk for relapse and subsequent rehospitalization. Long-acting injectable (LAI) antipsychotics have greater effectiveness in promoting medication adherence. AIMS: To determine whether text message reminders for LAI antipsychotic administration improve medication adherence. METHODS: The setting is a community mental health clinic in the west Texas region. Reminders deliver upon scheduling the appointment 3 weeks, 3 days, and 3 hr before the medication is due. This project aimed to determine the effectiveness of text reminders for LAI compliance in patients with schizophrenia spectrum disorders. Primary outcome measures include compliance percentage and target day variability. After exclusion criteria, there was a sample size of 49 patients. RESULTS: This pre- and post-intervention study utilized descriptive statistics and nonparametric analysis. Pre-intervention metrics outline 84.39% compliance with 3.55 target day variability. Post-intervention data resulted in a significant increase in compliance percentage to 91.24% ( p = .014) and a decrease in target day variability to 1.33 days ( p < .05). CONCLUSION: Text message reminders may be an effective intervention in increasing LAI compliance for individuals with schizophrenia spectrum disorders.
Economic recession, illicit drug use and the young population: a systematic literature review and meta-analysis
Authors: Casal B , Rivera B , Costa-Storti C 
Published: July 2023

Aims: Economic recessions impact on drug use through different channels, with potential conflicting outcomes. Previous studies have reached mixed outcomes, and a clear and comprehensive picture is difficult to depict. Methods: We use a systematic review of literature – conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines – and a hierarchical mixed-effects meta-analysis to provide a comprehensive quantitative assessment of the relationship between business cycle and the use of drugs by young populations. The heterogeneity of studies was assessed by the I2 statistic, and the publication bias was evaluated with contour-enhanced funnel plots. Results: We identify 25 studies, published over the period 2008–2020. These articles carried out an empirical analysis of the impact of the business cycle on illegal drug consumption in Organisation for Economic Co-operation Development (OECD) countries. Most of the studies (17 studies) covered the 2007 financial crisis. Among the outcomes, 9 studies traced a countercyclical relationship between economic recessions and drug use, 3 showed a procyclical relationship and 13 studies found mixed results. Unemployment was the most widely used variable to assess macroeconomic conditions in most of the studies (21 studies). The meta-analysis shows a partial correlation of .03 (95% confidence interval (CI): .0147–.0453) between the unemployment rate and drug use among young individuals. Therefore, we conclude that, on average, recessions tend to boost drug use. This impact is more marked with cannabis use than it is with cocaine, opioids or other drugs. Conclusion: This study provides robust evidence that in periods of economic downturns, the young populations tend to increase the use of illegal drugs, with cannabis as their main preference. Therefore, in periods of economic severity, society may particularly benefit from implementing widely reaching public prevention programmes and demand reduction interventions, targeting this subgroup of the population.
Team Physicians in Men’s and Women’s Professional Sports Leagues: Gender Representation and Career Path Analysis
Authors: Mody Kush S. , Henstenburg Jeffrey , Hammoud Sommer 
Published: July 2023

Background: The most common orthopaedic fellowship is for sports medicine, but few fellowship-trained orthopaedic surgeons fill roles as team physicians. Gender disparities within the field of orthopaedics, coupled with male-dominated professional sports leagues in the United States, may lead to lower representation of women as professional team physicians. Purpose: To (1) determine the career path trajectories of current head team physicians in professional sports, (2) quantify gender disparities across team physician representation, and (3) further characterize professional profiles of team physicians appointed to women’s and men’s professional sports leagues in the United States. Study Design: Cross-sectional study. Methods: This is a cross-sectional study of professional sports head team physicians in 8 major American sports leagues: American football (National Football League), baseball (Major League Baseball), basketball (National Basketball Association and Women’s National Basketball Association), hockey (National Hockey League and National Women’s Hockey League), and soccer (Major League Soccer and National Women’s Soccer League). Online searches were used to compile information on gender, specialty, medical school, residency, fellowship, years in practice, clinical practice type, practice setting, and research productivity. Differences according to league type (men’s vs women’s leagues) were analyzed with the chi-square test for categorical variables, t test for continuous variables, and Mann-Whitney U test for nonparametric means. Bonferroni correction was applied for multiple comparisons. Results: Within the 172 professional sports teams, 183 head team physicians were identified, including 170 men (92.9%) and 13 women (7.1%). Team physicians in both men’s and women’s sports leagues were predominantly men. Overall, 96.7% of team physicians in men’s leagues were men, and 73.3% of team physicians in women’s leagues were men ( P < .001). The most common physician specialties were orthopaedic surgery (70.0%) and family medicine (19.1%). Compared with team physicians in women’s leagues, those in men’s leagues were more likely to be orthopaedic surgeons (40.0% vs 71.9%, respectively; P = .001) and to have more experience (15.9 vs 22.4 years, respectively; P < .001). Conclusion: Study findings indicated disparities in gender, practice experience, and physician specialty representation among team physicians in men’s versus women’s professional sports leagues.
Nicotine exacerbates diabetic nephropathy through upregulation of Grem1 expression
Authors: Chen Jianning , Xiao Haiting , Xue Rui , Kumar Vinod , Aslam Rukhsana , Mehdi Syed Faizan , Luo Huairong , Malhotra Ashwani , Lan Xiqian , Singhal Pravin 
Published: July 2023

Abstract
Background
Diabetic nephropathy (DN) is a major complication of diabetes mellitus. Clinical reports indicate that smoking is a significant risk factor for chronic kidney disease, and the tobacco epidemic exacerbates kidney damage in patients with DN. However, the underlying molecular mechanisms remain unclear.

Method
In the present study, we used a diabetic mouse model to investigate the molecular mechanisms for nicotine-exacerbated DN. Twelve-week-old female mice were injected with streptozotocin (STZ) to establish a hyperglycemic diabetic model. After four months, the control and hyperglycemic diabetic mice were further divided into four groups (control, nicotine, diabetic mellitus, nicotine + diabetic mellitus) by intraperitoneal injection of nicotine or PBS. After two months, urine and blood were collected for kidney injury assay, and renal tissues were harvested for further molecular assays using RNA-seq analysis, real-time PCR, Western blot, and immunohistochemistry. In vitro studies, we used siRNA to suppress Grem1 expression in human podocytes. Then we treated them with nicotine and high glucose to compare podocyte injury.

Result
Nicotine administration alone did not cause apparent kidney injury, but it significantly increased hyperglycemia-induced albuminuria, BUN, plasma creatinine, and the kidney tissue mRNA expression of KIM-1 and NGAL. Results from RNA-seq analysis, real-time PCR, Western blot, and immunohistochemistry analysis revealed that, compared to hyperglycemia or nicotine alone, the combination of nicotine treatment and hyperglycemia significantly increased the expression of Grem1 and worsened DN. In vitro experiments, suppression of Grem1 expression attenuated nicotine-exacerbated podocyte injury.

Conclusion
Grem1 plays a vital role in nicotine-exacerbated DN. Grem1 may be a potential therapeutic target for chronic smokers with DN.
Effect of mixed light emitting diode spectrum on antioxidants content and antioxidant activity of red lettuce grown in a closed soilless system
Authors: Sawatdee Sopanat , Jarunglumlert Teeraya , Pavasant Prasert , Sakihama Yasuko , Flood Adrian E. , Prommuak Chattip 
Published: July 2023

Abstract
Background
Light spectra have been demonstrated to result in different levels of comfort or stress, which affect plant growth and the availability of health-promoting compounds in ways that sometimes contradict one another. To determine the optimal light conditions, it is necessary to weigh the vegetable’s mass against the amount of nutrients it contains, as vegetables tend to grow poorly in environments where nutrient synthesis is optimal. This study investigates the effects of varying light conditions on the growth of red lettuce and its occurring nutrients in terms of productivities, which were determined by multiplying the total weight of the harvested vegetables by their nutrient content, particularly phenolics. Three different light-emitting diode (LED) spectral mixes, including blue, green, and red, which were all supplemented by white, denoted as BW, GW, and RW, respectively, as well as the standard white as the control, were equipped in grow tents with soilless cultivation systems for such purposes.

Results
Results demonstrated that the biomass and fiber content did not differ substantially across treatments. This could be due to the use of a modest amount of broad-spectrum white LEDs, which could help retain the lettuce’s core qualities. However, the concentrations of total phenolics and antioxidant capacity in lettuce grown with the BW treatment were the highest (1.3 and 1.4-fold higher than those obtained from the control, respectively), with chlorogenic acid accumulation (8.4 ± 1.5 mg g− 1 DW) being particularly notable. Meanwhile, the study observed a high glutathione reductase (GR) activity in the plant achieved from the RW treatment, which in this study was deemed the poorest treatment in terms of phenolics accumulation.

Conclusion
In this study, the BW treatment provided the most efficient mixed light spectrum to stimulate phenolics productivity in red lettuce without a significant detrimental effect on other key properties.