bluuebunny/crossref_metadata_2025_split huggingface dataset:
Telemental Health Use Is Associated With Lower Health Care Spending Among Medicare Beneficiaries With Major Depression
Authors: Peña Maria T. , Lindsay Jan A. , Li Ruosha , Deshmukh Ashish A. , Swint John M. , Morgan Robert O. 
Published: December 2023

Background:
Some policymakers are concerned that expanding telehealth coverage may increase Medicare expenditures. However, there is limited evidence on the association of telehealth use with utilization and spending among Medicare beneficiaries with major depression.

Objective:
To examine the differences in spending and utilization among telemental health users and non-telemental health users with major depression.

Methods:
We examined 2014–2019 traditional Medicare claims data for beneficiaries aged ≥50 years with major depression in Texas. Multivariable generalized linear models were used to assess the relationships between telemental health use and Medicare spending and utilization while adjusting for patient demographics and programmatic and clinical factors.

Results:
In each of the years between 2014 and 2019, an average of 4.6% Medicare beneficiaries with major depression had at least 1 telemental health visit. Compared with beneficiaries without a telemental health visit, those who had a telemental health visit were significantly more likely to be enrolled in Medicaid, be Medicare eligible due to a disability, live in a lower income area or in a rural area, and have a higher comorbidity index. Beneficiaries utilizing telemental health services incurred higher unadjusted Medicare spending than those not receiving telemental health services. However, this difference appeared due to beneficiary and programmatic characteristics rather than telemental health use. Adjusting for model covariates, the telemental health group had lower overall per member per year predicted spending, inpatient admissions, and emergency department visits than non-telemental health users.

Conclusion:
Our findings suggest that telemental health care use may improve access to mental health care without increasing Medicare spending among telemental health users in Texas.
Real-World Patient Experience With Pancreatic Enzyme Replacement Therapy in the Treatment of Exocrine Pancreatic Insufficiency
Authors: Barkin Jodie A. , Harb Diala , Kort Jens , Barkin Jamie S. 
Published: December 2023

Objectives
This study aimed to provide patients insights on the management of exocrine pancreatic insufficiency (EPI) with pancreatic enzyme replacement therapy (PERT).

Materials and Methods
A survey of 75 members of Inspire's Pancreatitis or Pancreatic Cancer Support communities was conducted. Eligibility included having EPI secondary to chronic pancreatitis, pancreatic cancer, pancreatic surgery, or acute pancreatitis, and current/past PERT experience.

Results
Patients were 73% female, 57% aged 50 to 69 years, and 85% White, with PERT prescribed by a gastroenterologist/pancreatologist for 64%. Only approximately half of respondents agreed that their healthcare provider provided detailed information about EPI (54%) or how PERT works to treat EPI (56%). Most respondents (83%) reported searching for information about EPI, 56% were taking PERT solely before or after eating, 36% reported taking suboptimal PERT doses, and 39% reported no follow-up. In addition, 24% decreased their PERT dosage without consulting their physician, and 21% reported purposely skipping PERT.

Conclusions
This study reveals potential barriers to effective treatment of EPI with PERT, including lack of patient education, mainly how and when to take PERT, gaps in appropriate dosing, and lack of patient follow-up. Continued focus on patient and provider education is essential to address these gaps and optimize the treatment of EPI.
Online discussions of sexually transmitted infections (STIs) during COVID-19: Insights from the social media platform Reddit
Authors: Renfro Kaytlin J. , Haderxhanaj Laura T. , Loosier Penny S. , Hogben Matthew , Aral Sevgi O. 
Published: December 2023

Abstract

Background
With the onset of the COVID-19 pandemic, reported rates of chlamydia and gonorrhea dropped and remained low for several months of 2020 as compared to 2019. Additional data are needed to reveal causes of reported rate changes. Here, we analyze STI-related conversations from the online-discussion platform Reddit to gain insight into the role of the pandemic on public experience of STIs in 2020.

Method
We collected data from Pushshift’s and Reddit’s application programming interfaces via programs coded in Python. We focused data collection on the ‘r/STD’ subreddit. Collected submissions contained the term(s) “covid” and/or “coronavirus” and were submitted between 01/01/2020 and 12/31/2020. We collected the title and text of each submission. We used a Latent Dirichlet Allocation (LDA) algorithm to create a topic model of post content and complemented this approach with key term analysis and qualitative hand-coding.

Results
Of the 288 posts collected, 148 were complete and included in analyses. LDA revealed four main topics in the collected posts: narration of sexual experiences, STI testing, crowdsourcing of visual STI diagnoses, and descriptions of STI-related pains and treatments. Hand-coding of COVID-19 mentions revealed pandemic-related anxieties about STI care seeking and experienced delays in and changes to quality of STI care received.

Conclusions
References to COVID-19 and associated mitigation efforts were woven into Reddit posts pertaining to several domains of STI care. These data support the notion that Reddit discussions may represent a valuable source of STI information, standing to corroborate and further contextualize STI survey and surveillance work.
Antenatal and intrapartum care for women with gestational diabetes: a best practice implementation project
Authors: Stan Daniela , Mazilu Doina C. , Zazu Mariana , Nedelcu Viorica , Teodor Monica , Brătilă Elvira , Vrbová Tereza , Klugar Miloslav , Klugarová Jitka 
Published: December 2023

ABSTRACT

Objectives:
This project aimed to improve the quality of antenatal and intrapartum care for women with gestational diabetes (GD) by increasing nursing and midwifery care compliance with best practice recommendations.

Introduction:
GD is one of the most common diseases that can lead to several important maternal and fetal complications.

Methods:
This project was based on JBI's evidence implementation approach and included a baseline audit, the implementation of strategies, and a follow-up audit. The project was conducted in an obstetrics-gynecology department of a hospital in Bucharest, and the sample included 30 pregnant women with GD from that ward.

Results:
Regarding antenatal care, the baseline audit revealed low compliance (63%–87%) for criterion 2 (specific education), criterion 3 (multidisciplinary team), criterion 4 (individualized care plan), criterion 5 (training on self-monitoring), criterion 8 (dietician consultation), and criterion 10 (physical exercise program). Compliance with criterion 9 (physiotherapist consultation) was nil. Higher compliance (90%–100%) was reported for criterion 1 (screening for GD), criterion 6 (self-monitoring), and criterion 7 (maintenance of glycemic values). The intrapartum care audit criteria regarding maintaining blood glucose levels had compliance rates of 97% (criteria 13 and 14), 73% (criterion 11), and 67% (criterion 12). As a result of implementing the most appropriate strategies, maximum improvement was observed for all 12 audit criteria found to be deficient in the baseline audit.

Conclusions:
Strategies were identified and applied to successfully implement the best practices (educational programs and improved procedures). However, specific actions, such as regular targeted audits and continuous monitoring, are needed to maintain long-term results.
Aβ Amyloid Scaffolds the Accumulation of Matrisome and Additional Proteins in Alzheimer’s Disease
Authors: Levites Yona , Dammer Eric B. , Ran Yong , Tsering Wangchen , Duong Duc , Abreha Measho , Gadhavi Joshna , Lolo Kiara , Trejo-Lopez Jorge , Phillips Jennifer , Iturbe Andrea , Erquizi Aya , Moore Brenda D. , Ryu Danny , Natu Aditya , Dillon Kristy , Torrellas Jose , Moran Corey , Ladd Thomas , Afroz Farhana , Islam Tariful , Jagirdar Jaishree , Funk Cory C. , Robinson Max , Borchelt David R. , Ertekin-Taner Nilüfer , Kelly Jeffrey W. , Heppner Frank L. , Johnson Erik C. B. , McFarland Karen , Levey Allan I. , Prokop Stefan , Seyfried Nicholas T. , Golde Todd E. 
Published: December 2023

AbstractWe report a highly significant correlation between human Alzheimer’s disease (AD) brain proteome changes and those in CRND8 APP695NL/F transgenic mice. Comparing protein changes observed in the CRND8 mice with co-expression networks derived from human Alzheimer’s disease (AD), reveals both conserved and divergent module changes. Many proteins in the most highly conserved module (M42, matrisome) accumulate in plaques, cerebrovascular amyloid (CAA), dystrophic neuronal processes, or a combination thereof. Overexpression of two M42 proteins, midkine (Mdk) and pleiotrophin (PTN), in CRND8 mice brains leads to increased accumulation of Aβ in plaques and in blood vessels; further, recombinant MDK and PTN enhance Aβ aggregation into amyloid structures. Multiple M42 proteins bind to fibrillar Aβ42 and a non-human amyloid fibrilin vitro. Supporting this binding data, MDK and PTN co-accumulate with transthyretin (TTR) amyloid in the heart. Notably, our findings establish that proteomic changes in modules observed in human AD brains define an Aβ amyloid “responsome” that is well conserved from mouse models to humans. Further, distinct amyloid structures appear to serve as scaffolds, facilitating the co-accumulation of proteins with signaling functions, and this co-accumulation may contribute to downstream pathological sequalae. Overall, this contextualized understanding of proteomic changes and their interplay with amyloid deposition provides valuable insights into the complexity of AD pathogenesis and potential biomarkers and therapeutic targets.
Marine heatwaves favour resistant Mediterranean octocoral populations at the expense of their speed of recovery
Authors: Capdevila Pol , Zentner Yanis , Rovira Graciel·la , Garrabou Joaquim , Medrano Alba , Linares Cristina 
Published: December 2023

Abstract1. The effects of climate change are now more pervasive than ever. Marine ecosystems have been particularly impacted by climate change, with Marine Heat Waves (MHWs) being a strong driver of mass mortality events. Even in the most optimistic greenhouse gas emission scenarios, MHWs will continue to increase in frequency, intensity, and duration. For this reason, understanding the resilience of marine species to the increase of MHWs is crucial to predicting their viability under future climatic conditions.2. In this study, we explored the consequences of Marine Heatwaves (MHWs) on the resilience of a Mediterranean key octocoral species,Paramuricea clavata, to further disturbances to their population structure. To quantifyP. clavata’s capacity to resist and recover from future disturbances, we used demographic information collected from 1999 to 2022, from two different sites in the NW Mediterranean Sea.3. Our results showed that the differences in the dynamics of populations exposed and those not exposed to MHWs were driven mostly by differences in mean survivorship and growth. We also showed that after MHWsP. clavatapopulations had slower rates of recovery but did not experience changes in resistance. Populations exposed to MHWs had lower resistance elasticity to progression but higher stasis compared to unexposed populations. In contrast, the only demographic process showing some differences when comparing the speed of recovery elasticity values between populations exposed and unexposed to MHWs was stasis. Finally, under scenarios of increasing frequency of MHWs, the extinction ofP. clavatapopulations will accelerate and their capacity to recover after further disturbances will be hampered.4. Overall, these findings confirm that future climatic conditions will make octocoral populations even more vulnerable to further disturbances. These results highlight the importance of limiting local impacts on marine ecosystems to dampen the consequences of climate change.
Ridge regression baseline model outperforms deep learning method for cancer genetic dependency prediction
Authors: Chang Daniel , Zhang Xiang 
Published: December 2023

AbstractAccurately predicting genetic or other cellular vulnerabilities of unscreened, or difficult to screen, cancer samples will allow vast advancements in precision oncology. We re-analyzed a recently published deep learning method for predicting cancer genetic dependencies from their omics profiles. After implementing a ridge regression baseline model with an alternative, simplified problem setup, we achieved a model that outperforms the original deep learning method. Our study demonstrates the importance of problem formulation in machine learning applications and underscores the need for rigorous comparisons with baseline approaches.
Vaxign-DL: A Deep Learning-based Method for Vaccine Design and its Evaluation
Authors: Zhang Yuhan , Huffman Anthony , Johnson Justin , He Yongqun 
Published: December 2023

AbstractReverse vaccinology (RV) provides a systematic approach to identifying potential vaccine candidates based on protein sequences. The integration of machine learning (ML) into this process has greatly enhanced our ability to predict viable vaccine candidates from these sequences. We have previously developed a Vaxign-ML program based on the eXtreme Gradient Boosting (XGBoost). In this study, we further extend our work to develop a Vaxign-DL program based on deep learning techniques. Deep neural networks assemble non-linear models and learn multilevel abstraction of data using hierarchically structured layers, offering a data-driven approach in computational design models. Vaxign-DL uses a three-layer fully connected neural network model. Using the same bacterial vaccine candidate training data as used in Vaxign-ML development, Vaxign-DL was able to achieve an Area Under the Receiver Operating Characteristic of 0.94, specificity of 0.99, sensitivity of 0.74, and accuracy of 0.96. Using the Leave-One-Pathogen-Out Validation (LOPOV) method, Vaxign-DL was able to predict vaccine candidates for 10 pathogens. Our benchmark study shows that Vaxign-DL achieved comparable results with Vaxign-ML in most cases, and our method outperforms Vaxi-DL in the accurate prediction of bacterial protective antigens.
Aurora Kinase A Inhibition plus Tumor Treating Fields Suppress Glioma Cell Proliferation in a Cilium-Independent Manner
Authors: Tian Jia , Mallinger Julianne C. , Shi Ping , Ling Dahao , Deleyrolle Loic P. , Lin Min , Khoshbouei Habibeh , Sarkisian Matthew R. 
Published: December 2023

AbstractTumor Treating Fields (TTFields) have been shown to extend the survival of glioblastoma (GBM) patients. TTFields interfere with a broad range of cellular processes which may contribute to their efficacy. Among these, TTFields disrupt primary cilia stability on GBM cells. Here we asked if concomitant treatment of TTFields with other agents that interfere with GBM ciliogenesis can further suppress GBM cell proliferation in vitro. Aurora Kinase A (AURKA) promotes both cilia disassembly and GBM growth in vitro and in xenograft models. Inhibitors of AURKA such as Alisertib have been previously demonstrated to inhibit cilia disassembly and increase the frequency of cilia in various cell types. However, here we show that physiological concentrations of Alisertib treatment significantly reduced GBM cilia frequency in gliomaspheres across multiple patient derived cell lines, and in patient biopsies treated ex vivo with Alisertib. This activity of Alisertib seems to be glioma cell specific as it did not reduce neuronal or glial cilia frequencies in mixed primary cell cultures from mouse forebrain. Furthermore, Alisertib depletion of glioma cilia appears specific to AURKA inhibition, as a potent AURKB inhibitor, AZD1152, had no effect on GBM ciliary frequency. Treatment of two different GBM patient-derived cell lines with TTFields and Alisertib resulted in a significant reduction in cell proliferation compared to either treatment alone. However, this effect was not cilia-dependent as the combined treatment reduced proliferation in cilia-depleted cell lines lacking,ARL13b, or U87MG cells which are naturally devoid of ARL13B+cilia. This result is not surprising given the wide range of pathways regulated by AURKA in addition to cilia. Nonetheless, Alisertib-mediated effects on glioma cilia may be a useful biomarker of drug efficacy within tumor tissue. Considering Alisertib has been shown to cross the blood brain barrier and inhibit intracranial growth of xenografted tumor models, our data warrant future studies to explore whether concomitant Alisertib and TTFields exposure prolongs survival of brain tumor-bearing animals in vivo.
Hot spots drive uptake and short-term processing of organic and inorganic carbon and nitrogen in intertidal sediments
Authors: Riekenberg Philip M. , Eyre Bradley D. , van der Meer Marcel T.J. , Oakes Joanne M. 
Published: December 2023

AbstractThis study uses dual-labelled (13C and15N) stable isotope applications to examine uptake and short-term processing of carbon (C) and nitrogen (N) by microbial communities in intertidal sediment from three subtropical estuarine sites. We examine differences in microbial uptake and retention that arise due to domination of microbial processing by either microphytobenthos or heterotrophic bacteria. We compare amino acids and algal dissolved organic matter (Algal DOM) and glucose and NH4+versus newly fixed microphytobenthos C (MPB-C) and NH4+usingin situapplications across 24 h to identify uptake into the microbial community and sediment OM. Algal DOM had preferential C uptake and more retention across 24 h indicating precursors incorporated into biosynthetic pathways for biomass. Conversely, amino acid C was not incorporated or rapidly respired to DIC but displayed clear preferential uptake and retention of15N. Short-term (24 h) retention of glucose was higher than MPB-C, while uptake of15N from NH4+was similar between treatments, potentially indicating glucose-stimulated export of15N via coupled nitrification-dentrification. Despite careful selection of similar sites and sediment types, we found substantial variability between replicates and sites in the uptake and processing of labeled substrate that challenged traditional statistical analysis due to non-homogenous variance. Uptake variability across orders of magnitude is likely due to disproportionate processing of substrates occurring in hotspots of microbial processing within sediment. Development of analytical techniques to provide robust strategies to handle variability caused by abiotic and biotic factors will allow greater clarity surroundingin situbiogeochemical processing in intertidal environments.
Development of a Nanoparticle-Based Tendon-Targeting Drug Delivery System to Pharmacologically Modulate Tendon Healing
Authors: Adjei-Sowah Emmanuela , Chandrasiri Indika , Xiao Baixue , Liu Yuxuan , Ackerman Jessica E. , Soto Celia , Nichols Anne E. C. , Nolan Katherine , Benoit Danielle S.W. , Loiselle Alayna E. 
Published: December 2023

AbstractTendon regeneration following acute injury is marred by a fibrotic healing response that prevents complete functional recovery. Despite the high frequency of tendon injuries and the poor outcomes, including functional deficits and elevated risk of re-injury, there are currently no pharmacological therapies in clinical use to enhance the healing process. Several promising pharmacotherapies have been identified; however, systemic treatments lack tendon specificity, resulting in poor tendon biodistribution and perhaps explaining the largely limited beneficial effects of these treatments on the tendon healing process. To address this major unmet need, we leveraged our existing spatial transcriptomics dataset of the tendon healing process to identify an area of the healing tendon that is enriched for expression ofAcp5. Acp5encodes tartrate-resistant acid phosphatase (TRAP), and we demonstrate robust TRAP activity in the healing tendon. This unexpected finding allowed us to refine and apply our existing TRAP binding peptide (TBP) functionalized nanoparticle (NP) drug delivery system (DDS) to facilitate improved delivery of systemic treatments to the healing tendon. To demonstrate the translational potential of this drug delivery system, we delivered the S100a4 inhibitor, Niclosamide to the healing tendon. We have previously shown that genetic knockdown of S100a4 enhances tendon healing. While systemic delivery of Niclosamide did not affect the healing process, relative to controls, TBP-NP delivery of Niclosamide enhanced both functional and mechanical outcome measures. Collectively, these data identify a novel tendon-targeting drug delivery system and demonstrate the translational potential of this approach to enhance the tendon healing process.
Expanded Expression of Pro-Neurogenic Factor SoxB1 during Larval Development of GastropodLymnaea stagnalisSuggests Preadaptation to Prolonged Neurogenesis in Mollusca
Authors: Kurtova Anastasia I. , Finoshin Alexander D. , Aparina Margarita S. , Gazizova Guzel R. , Kozlova Olga S. , Voronova Svetlana N. , Shagimardanova Elena I. , Ivashkin Evgeny G. , Voronezhskaya Elena E. 
Published: December 2023

AbstractThe diversity in the organization of the nervous system in mollusks raises intriguing questions about its development and evolution. Our study aims to gain a deeper understanding of how the nervous system forms in Mollusca by examining the involvement of SoxB-family transcription factors in the early development of neurogenic zones. Specifically, we explore the expression patterns of two SoxB genes in the gastropodLymnaea stagnalis, namely Ls-SoxB1 and Ls-SoxB2, across various developmental stages. Through a combination of in situ hybridization chain reaction, immunohistochemistry, and proliferation assays, we examine the dynamic spatial distribution of Ls- SoxB1 and Ls-SoxB2, with a particular emphasis on the formation of central ring ganglia and the identification of active proliferative zones. Our findings reveal that Ls-SoxB1 exhibits expanded ectodermal expression from the gastrula to the postmetamorphic stage, evident at both transcriptional and translational levels. Throughout larval development, Ls-SoxB1 is expressed in the ectoderm of the head, foot, and visceral complex, as well as in ganglia anlagen and sensory cells. In contrast, the expression of Ls-SoxB2 in the ectoderm is observed until the veliger stage, after which it persists in subepithelial layer cells and ganglia rudiments. Proliferation assay reveals a uniform distribution of dividing cells in the ectoderm at all developmental stages, indicating the absence of distinct neurogenic zones with increased proliferation in gastropods. Our findings highlight that Ls-SoxB1 exhibit widespread expression patterns in both location and time compared to other Lophotrochozoa species. This prolonged expression of SoxB genes in gastropods can be interpreted as a form of transcriptional neoteny, playing a crucial role in the diversification of nervous systems. Thus, it serves as a preadaptation to prolonged neurogenesis and an increase in the central nervous system complexity in Mollusca.