bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychopathological symptom network structure in transgender and gender queer youth reporting parental psychological abuse: a network analysis
Authors: Wang Yuanyuan , Ma Zhihao , Wilson Amanda , Hu Zhishan , Ying Xin , Han Meng , Cui Zaixu , Chen Runsen 
Published: September 2021

AbstractBackgroundThis is the first study to investigate the effect of parental psychological abuse on potential psychopathological symptoms in gender minority youth subgroups, including transgender women, transgender men, and gender queer individuals.MethodsData was analysed from the Chinese National Transgender Survey in 2017; the survey was distributed through community-based organizations to transgender adolescents and adults residing in China, with representation from all 32 provinces and autonomous regions. A total of 1293 youth that self-identified as transgender or gender queer completed the study. Measures covered psychopathological symptoms including depression, anxiety, risk of suicideand self-harm. Parental psychological abuse was assessed in terms of neglect and avoidance, force to change, and verbal insults. Both the edges and centralities were computed via network analysis, and the network properties were then compared among the three gender minority subgroups. In addition, linear regression was adopted to test the predictive ability of node centrality for low self-esteem.ResultsDescriptive analysis revealed that among the three subgroups, transgender women had more severe psychopathological symptoms and reported the most psychological abuse. Network analysis revealed that the risk of suicide and self-harm was directly connected with one type of parental psychological abuse (“neglect and avoidance”). Node centrality was significantly associated with the predicting value of the nodes on low self-esteem (r2= 0.25, 0.17, 0.31) among all three gender minority subgroups.ConclusionsThe distinctive core psychopathological symptoms, within the networks of the gender minority subgroups, revealed specific symptoms across each group. The significant association between node centrality and low self-esteem indicated the extent of parental psychological abuse. Parental psychological abuse directed towards gender minority youth should be recognized as a form of family cold violence. It is recommended that schools and local communities should support early intervention to improve psychological well-being.
Hypofibrinolysis in type 2 diabetes and its clinical implications: from mechanisms to pharmacological modulation
Authors: Bryk-Wiązania Agata Hanna , Undas Anetta 
Published: September 2021

AbstractA prothrombotic state is a typical feature of type 2 diabetes mellitus (T2DM). Apart from increased platelet reactivity, endothelial dysfunction, hyperfibrinogenemia, and hypofibrinolysis are observed in T2DM. A variety of poorly elucidated mechanisms behind impaired fibrinolysis in this disease have been reported, indicating complex associations between platelet activation, fibrin formation and clot structure, and fibrinolysis inhibitors, in particular, elevated plasminogen antigen inhibitor-1 levels which are closely associated with obesity. Abnormal fibrin clot structure is of paramount importance for relative resistance to plasmin-mediated lysis in T2DM. Enhanced thrombin generation, a proinflammatory state, increased release of neutrophil extracellular traps, elevated complement C3, along with posttranslational modifications of fibrinogen and plasminogen have been regarded to contribute to altered clot structure and impaired fibrinolysis in T2DM. Antidiabetic agents such as metformin and insulin, as well as antithrombotic agents, including anticoagulants, have been reported to improve fibrin properties and accelerate fibrinolysis in T2DM. Notably, recent evidence shows that hypofibrinolysis, assessed in plasma-based assays, has a predictive value in terms of cardiovascular events and cardiovascular mortality in T2DM patients. This review presents the current data on the mechanisms underlying arterial and venous thrombotic complications in T2DM patients, with an emphasis on hypofibrinolysis and its impact on clinical outcomes. We also discuss potential modulators of fibrinolysis in the search for optimal therapy in diabetic patients.
Genetic profiling of human bone marrow and adipose tissue-derived mesenchymal stem cells reveals differences in osteogenic signaling mediated by graphene
Authors: MacDonald Amber F. , Trotter Ruby D. , Griffin Christopher D. , Bow Austin J. , Newby Steven D. , King William J. , Amelse Lisa L. , Masi Thomas J. , Bourdo Shawn E. , Dhar Madhu S. 
Published: September 2021

Abstract
Background
In the last decade, graphene surfaces have consistently supported osteoblast development of stem cells, holding promise as a therapeutic implant for degenerative bone diseases. However, until now no study has specifically examined the genetic changes when stem cells undergo osteogenic differentiation on graphene.

Results
In this study, we provide a detailed overview of gene expressions when human mesenchymal stem cells (MSCs) derived from either adipose tissue (AD-MSCs) or bone marrow (BM-MSCs), are cultured on graphene. Genetic expressions were measured using osteogenic RT2 profiler PCR arrays and compared either over time (7 or 21 days) or between each cell source at each time point. Genes were categorized as either transcriptional regulation, osteoblast-related, extracellular matrix, cellular adhesion, BMP and SMAD signaling, growth factors, or angiogenic factors. Results showed that both MSC sources cultured on low oxygen graphene surfaces achieved osteogenesis by 21 days and expressed specific osteoblast markers. However, each MSC source cultured on graphene did have genetically different responses. When compared between each other, we found that genes of BM-MSCs were robustly expressed, and more noticeable after 7 days of culturing, suggesting BM-MSCs initiate osteogenesis at an earlier time point than AD-MSCs on graphene. Additionally, we found upregulated angiogenic markers in both MSCs sources, suggesting graphene could simultaneously attract the ingrowth of blood vessels in vivo. Finally, we identified several novel targets, including distal-less homeobox 5 (DLX5) and phosphate-regulating endopeptidase homolog, X-linked (PHEX).

Conclusions
Overall, this study shows that graphene genetically supports differentiation of both AD-MSCs and BM-MSCs but may involve different signaling mechanisms to achieve osteogenesis. Data further demonstrates the lack of aberrant signaling due to cell-graphene interaction, strengthening the application of specific form and concentration of graphene nanoparticles in bone tissue engineering.

Graphic abstract
Measuring population health: association of self-rated health and PROMIS measures with social determinants of health in a cross-sectional survey of the US population
Authors: Hanmer Janel 
Published: September 2021

AbstractBackgroundSelf-reported health-related quality of life is an important population health outcome, often assessed using a single question about self-rated health (SRH). The Patient Reported Outcomes Measurement Information System (PROMIS) is a new set of measures constructed using item response theory, so each item contains information about an underlying construct. This study’s objective is to assess the association between SRH and PROMIS scores and social determinants of health (SDoH) to evaluate the use of PROMIS for measuring population health.MethodsA cross sectional survey of 4142 US adults included demographics, 7 PROMIS domains with 2 items each, the PROMIS-preference (PROPr) score, self-rated health (SRH), 30 social determinants of health (SDoH), and 12 chronic medical conditions. SDoH and chronic condition impact estimates were created by regressing the outcome (PROMIS domain, PROPr, or SRH) on demographics and SDoH or a single chronic condition. Linear regression was used for PROMIS domains and PROPr; ordinal logistic regression was used for SRH.ResultsBoth SRH and PROPr detected statistically significant differences for 11 of 12 chronic conditions. Of the 30 SDoH, 19 statistically significant differences were found by SRH and 26 statistically significant differences by PROPr. The SDoH with statistically significant differences included those addressing education, income, financial insecurity, and social support. The number of statistically significant differences found for SDoH varies by individual PROMIS domains from 13 for Sleep Disturbance to 25 for Physical Function.ConclusionsSRH is a simple single question that provides information about health-related quality of life. The 14 item PROMIS measure used in this study detects more differences in health-related quality of life for social determinants of health than SRH. This manuscript illustrates the relative costs and benefits of each approach to measuring health-related quality of life.
The influence of community factors in the implementation of community-based interventions to improve antenatal care: a qualitative study based on the IMCHA programme in Tanzania
Authors: Joseph Chakupewa , Maluka Stephen O. 
Published: September 2021

Abstract
Background
Efforts to improve antenatal care have been heightened to reduce global maternal deaths. In resource-limited settings, community-based interventions play a pivotal role in improving antenatal care services. However, effective implementation of community-based interventions is influenced by prevailing community-related factors. Drawing from the community-based interventions implemented in Iringa Region in Tanzania, this paper underscores how community factors influence implementation and ultimate improvement of antenatal care services.

Methods
A qualitative case study design was employed using in-depth interviews, focus group discussions and document reviews. Data was collected in Kilolo and Mufindi districts in Iringa Region where community-based interventions were implemented. A total of one hundred and forty-six (146) participants were involved in the study. Eighty-six (86) participants were interviewed and sixty (n = 60) participated in focus group discussions. Data were analysed thematically and manually by categorizing and coding emerging issues to facilitate analysis and interpretation.

Results
Key factors that influenced the implementation of the community-based interventions were the community readiness to adopt the interventions and effective local administrative systems. Stakeholders’ engagement and local health system support were also pivotal for improving antenatal care services. However, the physical environment, bullying of implementers of interventions and family-related challenges constrained the implementation of the interventions.

Conclusion
This study has shown that the performance of community-based interventions is highly influenced by community-related factors. More specifically, inadequate community engagement may lead to community members’ reluctance to adopt implemented interventions. Therefore, in-depth understanding and adequate management of community engagement are important during the planning, development and implementation of community-based interventions.
Validation of the effectiveness of SARS-CoV-2 vaccines in older adults in “real-world” settings
Authors: Weng Nan-ping , Pawelec Graham 
Published: September 2021

AbstractThe rapidity of SARS-CoV-2 vaccination around the world has substantially reduced the number of new cases of COVID-19 and their severity in highly vaccinated countries. The unanticipated efficacy of SARS-CoV-2 vaccines in older adults has been very encouraging but the longevity of vaccine immunity is currently unknown and protection against emerging variants may be lower. Adoptive immunotherapy with neutralizing mAb may offer an alternative for poor vaccine responders, while the mechanisms underlying failure to respond are still unclear. Further studies of B and T cell responses and their regulation particularly in older populations will provide a more solid foundation to develop suitable approaches to optimize vaccine responses of older adults who fail to mount a durable response.
Oral colon-targeting core–shell microparticles loading curcumin for enhanced ulcerative colitis alleviating efficacy
Authors: Zhang Chen , Chen Zhejie , He Yanan , Xian Jing , Luo Ruifeng , Zheng Chuan , Zhang Jinming 
Published: September 2021

Abstract
Background
The oral colon-targeting drug delivery vehicle is vital for the efficient application of curcumin (Cur) in ulcerative colitis (UC) treatment because of its lipophilicity and instability in the gastrointestinal tract.

Methods
The core–shell microparticle (MP) system composed of eco-friendly materials, zein and shellac, was fabricated using a coaxial electrospray technique. In this manner, Cur was loaded in the zein core, with shellac shell coating on it. The colon-targeting efficiency and accumulation capacity of shellac@Cur/zein MPs were evaluated using a fluorescence imaging test. The treatment effects of free Cur, Cur/zein MPs, and shellac@Cur/zein MPs in acute experimental colitis were compared.

Results
With the process parameters optimized, shellac@Cur/zein MPs were facilely fabricated with a stable cone-jet mode, exhibiting standard spherical shape, uniform size distribution (2.84 ± 0.15 µm), and high encapsulation efficiency (95.97% ± 3.51%). Particularly, with the protection of shellac@zein MPs, Cur exhibited sustained drug release in the simulated gastrointestinal tract. Additionally, the in vivo fluorescence imaging test indicated that the cargo loaded in shellac@zein MPs improves the colon-targeting efficiency and accumulation capacity at the colonitis site. More importantly, compared with either free Cur or Cur/zein MPs, the continuous oral administration of shellac@Cur/zein MPs for a week could efficiently inhibit inflammation in acute experimental colitis.

Conclusion
The shellac@Cur/zein MPs would act as an effective oral drug delivery system for UC management.
Pharmacological targeting PTK6 inhibits the JAK2/STAT3 sustained stemness and reverses chemoresistance of colorectal cancer
Authors: Liu Chaoqun , Pan Zhihua , Chen Qian , Chen Zetao , Liu Weiwei , Wu Ling , Jiang Muhong , Lin Wandie , Zhang Yujie , Lin Weihao , Zhou Rui , Zhao Liang 
Published: September 2021

Abstract
Background
Chemoresistance is the major cause of chemotherapy failure in patients with colorectal cancer (CRC). Protein tyrosine kinase 6 (PTK6) is aberrantly overexpressed in clinical CRC tissues undergoing chemotherapy. We studied if PTK6 contributed to the chemoresistance of CRC in human and mice.

Methods
We obtained tissue samples from patients with CRC and measured the expression of PTK6 by immunohistochemistry. Gain- and loss-of-function assays were performed to study the biological functions of PTK6. We constructed the FLAG-tagged wild type (WT), kinase-dead, and inhibition-defective recombinant mutants of PTK6 to study the effect phosphorylated activation of PTK6 played on CRC cell stemness and chemoresistance. We used small molecule inhibitor XMU-MP-2 to test the influence of PTK6 on sensitivity of CRC cells to 5-FU/L-OHP in both nude mouse and patient-derived xenograft (PDX) animal models.

Results
PTK6 is overexpressed in CRC tissues and plays a stimulatory role in the proliferation and chemoresistance of CRC cells both in vitro and in vivo. PTK6, especially the phosphorylated PTK6, can promote the stemness of CRC cells through interacting with JAK2 and phosphorylating it to activate the JAK2/STAT3 signaling. Pharmacological inhibition of PTK6 using XMU-MP-2 effectively reduces the stemness property of CRC cells and improves its chemosensitivity to 5-FU/L-OHP in both nude mice subcutaneously implanted tumor model and PDX model constructed with NOD-SCID mice.

Conclusions
PTK6 interacts with JAK2 and phosphorylates it to activate JAK2/STAT3 signaling to promote the stemness and chemoresistance of CRC cells. Pharmacological inhibition of PTK6 by small molecule inhibitor dramatically enhances the sensitivity to chemotherapy in nude mice and PDX models.
Effectiveness of a Healthy Lifestyle Program (HeLP) for low back pain: statistical analysis plan for a randomised controlled trial
Authors: Robson Emma , Kamper Steven J. , Hall Alix , Lee Hopin , Davidson Simon , da Silva Priscilla Viana , Gleadhill Connor , Williams Christopher M. ,   for the HeLP Trial Working Group, Smith Damien , Donald Bruce , Groves Catherine , O’Neill Martin , Simpson Emma-Leigh , Reid Kate , Reynolds Tahila , Muddle Rebecca , Devine Lauren , Hodder Rebecca , Williams Amanda , Wiggers John , Gillham Karen , Barnett Chris , Haskins Robin , Searles Andrew , Ling Rod , Nolan Erin , Oldmeadow Christopher 
Published: September 2021

Abstract
Background
This paper describes the statistical analysis plan for a randomised controlled trial of a Healthy Lifestyle Program (HeLP) for low back pain targeting multiple health risks and behaviours, weight, physical activity, diet and smoking, to improve disability. We describe the methods for the main analyses and economic analysis of the trial.

Methods and design
The trial is a two-arm pragmatic randomised controlled trial comparing the effect of the HeLP intervention to usual care on low back pain disability at 26 weeks. A total of 346 adults with low back pain were recruited from the Newcastle and Hunter region between September 2017 and November 2019 and randomised to either HeLP or usual care. HeLP is a 6-month intervention with participant outcomes measured at weeks 6, 12, 26 and 52 post randomisation. This statistical analysis plan describes data integrity, handling and preparation of data for analyses and methods for analyses. The primary endpoint for the trial is disability at 26 weeks using the 24-item self-report Roland Morris Disability Questionnaire. The primary analysis will follow the intention-to-treat principle using linear mixed regression models.

Discussion
The statistical analysis plan for this trial was produced to reduce outcome reporting bias arising from knowledge of the study findings. Any deviations will be described and justified in the final report.

Trial registration
Australian New Zealand Clinical Trials Registry ACTRN12617001288314. Registered on 6 September 2017.
Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France
Authors: Haneef Romana , Kab Sofiane , Hrzic Rok , Fuentes Sonsoles , Fosse-Edorh Sandrine , Cosson Emmanuel , Gallay Anne 
Published: September 2021

Abstract
Background
The use of machine learning techniques is increasing in healthcare which allows to estimate and predict health outcomes from large administrative data sets more efficiently. The main objective of this study was to develop a generic machine learning (ML) algorithm to estimate the incidence of diabetes based on the number of reimbursements over the last 2 years.

Methods
We selected a final data set from a population-based epidemiological cohort (i.e., CONSTANCES) linked with French National Health Database (i.e., SNDS). To develop this algorithm, we adopted a supervised ML approach. Following steps were performed: i. selection of final data set, ii. target definition, iii. Coding variables for a given window of time, iv. split final data into training and test data sets, v. variables selection, vi. training model, vii. Validation of model with test data set and viii. Selection of the model. We used the area under the receiver operating characteristic curve (AUC) to select the best algorithm.

Results
The final data set used to develop the algorithm included 44,659 participants from CONSTANCES. Out of 3468 variables from SNDS linked to CONSTANCES cohort were coded, 23 variables were selected to train different algorithms. The final algorithm to estimate the incidence of diabetes was a Linear Discriminant Analysis model based on number of reimbursements of selected variables related to biological tests, drugs, medical acts and hospitalization without a procedure over the last 2 years. This algorithm has a sensitivity of 62%, a specificity of 67% and an accuracy of 67% [95% CI: 0.66–0.68].

Conclusions
Supervised ML is an innovative tool for the development of new methods to exploit large health administrative databases. In context of InfAct project, we have developed and applied the first time a generic ML-algorithm to estimate the incidence of diabetes for public health surveillance. The ML-algorithm we have developed, has a moderate performance. The next step is to apply this algorithm on SNDS to estimate the incidence of type 2 diabetes cases. More research is needed to apply various MLTs to estimate the incidence of various health conditions.
Accelerating Indonesian COVID-19 vaccination rollout: a critical task amid the second wave
Authors: Nugraha Ryan Rachmad , Miranda Adriana Viola , Ahmadi Attaullah , Lucero-Prisno Don Eliseo 
Published: September 2021

AbstractCoronavirus disease-19 (COVID-19) has been spreading in every part of the world, putting nations at risk with its pandemic status, including Indonesia. COVID-19 vaccine has been deemed as one of the most effective interventions to date for mitigating the spread and mortality from COVID-19. Responding to the situation, the Government of Indonesia (GOI) has allocated the means necessary to procure and distribute COVID-19 vaccines; placing into consideration the unique context of the country, recently categorized as a middle-income country and archipelagic with a population over 270 million. This article aims to present the challenges associated with the distribution of COVID-19 vaccination as well as recommendations to mitigate them, to ensure a timely and effective COVID-19 vaccination program in Indonesia.
Association between psychotropic drug prescription and suicide rates in Scotland: population study
Authors: Moore Fhionna R. , Macleod Mairi , Harley Trevor A. 
Published: September 2021

Aims and methodRates of prescriptions of antidepressants and suicide are inversely correlated at an epidemiological level. Less attention has been paid to relationships between other drugs used in mental health and suicide rates. Here we tested relationships between prescriptions of anxiolytics and antipsychotics and suicide rates in Scotland.ResultsSuicide rates were inversely correlated with prescriptions of antidepressants and antipsychotics over 14 years (2004–2018), and positively with prescriptions of anxiolytics.Clinical implicationsThis illustrates the role of medications used in mental health in suicide prevention, and highlights the importance of identifying causal mechanisms that link anxiolytics with suicide.
Coulomb-type interaction in the electric quadrupole moment system under the influence of a cut-off point
Authors: Bakke K. 
Published: September 2021

Abstract
We explore the hypothesis of magnetic monopoles and propose a magnetic field configuration that yields a Coulomb-type potential in the electric quadrupole moment system. This field configuration establishes a forbidden region for the neutral particle, hence, it establishes a cut-off point. We thus analyse the influence of this cut-off point on a Coulomb-type potential by searching for bound-state solutions to the Schrödinger equation.