bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between immunoglobulin A and depression in Chinese older adults: findings from a cross-sectional study
Authors: Sun Zhigao , Lin Jieqiong , Zhang Yujie , Yao Yao , Huang Zhenjun , Zhao Yali , Zhang Pei , Fu Shihui 
Published: May 2022

Abstract
Background
Depression is considered to be an immune-related disease; however, previous studies have focused on inflammatory factors, and there is no conclusive conclusion on the relationships between immunoglobulins and depression. Therefore, the objective of this cross-sectional study was to evaluate the associations between immunoglobulins and depressive symptoms in Chinese older adults.

Results
The China Hainan Centenarian Cohort Study (CHCCS) provides a significant population-based sample of older adults in Hainan, China. A total of 1547 older adults were included in this study. A baseline survey was conducted using a structured questionnaire. Blood samples were obtained following standard procedures. The Geriatric Depression Scale (GDS-15) was used to evaluate depressive symptoms of the participants. This sample of older adults had a median age of 94.75 (range: 80–116) years, and the proportion of women was 72.07%. The prevalence of older adults with depressive symptoms was 20.36% (315 older adults). After adjusting for all covariates, we found that immunoglobulin A levels were positively associated with depression. The adjusted reliability of the association between immunoglobulin A and depression was 0.106 (beta) and 1.083 (odds ratio) (P < 0.05 for both).

Conclusions
The present study provides epidemiological evidence that depression has significant associations with immunoglobulin A levels in older adults. Further research should be conducted on the effects of regulating immunoglobulin A to improve depressive symptoms.
Shortcutting the diagnostic odyssey: the multidisciplinary Program for Undiagnosed Rare Diseases in adults (UD-PrOZA)
Authors: Schuermans Nika , Hemelsoet Dimitri , Terryn Wim , Steyaert Sanne , Van Coster Rudy , Coucke Paul J. , Steyaert Wouter , Callewaert Bert , Bogaert Elke , Verloo Patrick , Vanlander Arnaud V. , Debackere Elke , Ghijsels Jody , LeBlanc Pontus , Verdin Hannah , Naesens Leslie , Haerynck Filomeen , Callens Steven , Dermaut Bart , Poppe Bruce ,   for UD-PrOZA, De Bleecker Jan , Santens Patrick , Boon Paul , Laureys Guy , Kerre Tessa 
Published: May 2022

Abstract
Background
In order to facilitate the diagnostic process for adult patients suffering from a rare disease, the Undiagnosed Disease Program (UD-PrOZA) was founded in 2015 at the Ghent University Hospital in Belgium. In this study we report the five-year results of our multidisciplinary approach in rare disease diagnostics.

Methods
Patients referred by a healthcare provider, in which an underlying rare disease is likely, qualify for a UD-PrOZA evaluation. UD-PrOZA uses a multidisciplinary clinical approach combined with state-of-the-art genomic technologies in close collaboration with research facilities to diagnose patients.

Results
Between 2015 and 2020, 692 patients (94% adults) were referred of which 329 (48%) were accepted for evaluation. In 18% (60 of 329) of the cases a definite diagnosis was made. 88% (53 of 60) of the established diagnoses had a genetic origin. 65% (39 of 60) of the genetic diagnoses were made through whole exome sequencing (WES). The mean time interval between symptom-onset and diagnosis was 19 years. Key observations included novel genotype–phenotype correlations, new variants in known disease genes and the identification of three new disease genes. In 13% (7 of 53), identifying the molecular cause was associated with therapeutic recommendations and in 88% (53 of 60), gene specific genetic counseling was made possible. Actionable secondary findings were reported in 7% (12 of 177) of the patients in which WES was performed.

Conclusion
UD-PrOZA offers an innovative interdisciplinary platform to diagnose rare diseases in adults with previously unexplained medical problems and to facilitate translational research.
Paraventricular hypothalamic vasopressin neurons induce self-grooming in mice
Authors: Islam Md Tarikul , Maejima Takashi , Matsui Ayako , Mieda Michihiro 
Published: May 2022

AbstractSelf-grooming plays an essential role in hygiene maintenance, thermoregulation, and stress response. However, the neural populations involved in self-grooming remain largely unknown. The paraventricular hypothalamic nucleus (PVH) has been implicated in the regulation of self-grooming. Arginine vasopressin-producing neurons are among the major neuronal populations in the PVH (PVHAVP), which play important roles in water homeostasis, blood pressure regulation, feeding, and stress response. Here, we report the critical role of PVHAVP neurons in the induction of self-grooming. Optogenetic activation of PVHAVP neurons immediately induced self-grooming in freely moving mice. Chemogenetic activation of these neurons also increased time spent self-grooming. In contrast, their chemogenetic inhibition significantly reduced naturally occurring self-grooming, suggesting that PVHAVP-induced grooming has physiological relevance. Notably, optogenetic activation of PVHAVP neurons triggered self-grooming over other adaptive behaviors, such as voracious feeding induced by fasting and social interaction with female mice. Thus, our study proposes the novel role of PVHAVP neurons in regulating self-grooming behavior and, consequently, hygiene maintenance and stress response. Furthermore, uncontrolled activation of these neurons may be potentially relevant to diseases characterized by compulsive behaviors and impaired social interaction, such as autism, obsessive–compulsive disorder, and anorexia nervosa.
Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018
Authors: Acharya Mahip , Zorn Kristin K. , Simonson Melinda E. , Bimali Milan , Moore Gary W. , Peng Cheng , Martin Bradley C. 
Published: May 2022

Abstract
Background
Early identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT.

Methods
We used data from the Arkansas All-Payer Claims Database from January 2013 through June 2018 (commercial, Medicaid), December 2017 (state employee), or December 2016 (Medicare) and identified enrollees with ≥1 month of enrollment. Using Current Procedural Terminology (CPT-4) codes, rates for GT were calculated per 100,000 person-quarters and time series regressions estimated. Second, GT and covariate information for enrollees with 24 months of continuous enrollment were used to estimate separate logistic regression models for each GT category.

Results
Among 2,520,575 unique enrollees, HBOC testing rates were 2.2 (Medicaid), 22.0 (commercial), 40.4 (state employee), and 13.1(Medicare) per 100,000 person-quarters and increased linearly across all plans. Older age (OR=1.24; 95%CI 1.20 – 1.28), female sex (OR=18.91; 95%CI 13.01 – 28.86), higher comorbidity burden (OR=1.08; 95%CI 1.05 – 1.12), mental disorders (OR=1.53; 95%CI 1.15 – 2.00), and state employee coverage (OR=1.65; 95%CI 1.37 – 1.97) were positively associated with HBOC testing. Less than 1 of 10,000 enrollees received Lynch syndrome testing, while < 5 of 10,000 received HBOC testing.

Conclusion
GT rates for hereditary cancer syndromes have increased in Arkansas but remain low. Receipt of GT was explained with high discrimination by sex and plan type.

Impact
Expansion of GT for hereditary cancer risk in Arkansas is needed to identify high-risk individuals who could benefit from risk-reduction strategies.
The use of transcranial direct current stimulation (tDCS) to reduce impulsivity and aggression in adults with mild intellectual developmental disabilities: the tDCS-RIADD randomised controlled trial protocol
Authors: Khalifa Najat , Hawken Emily R. , Bickle Andrew , Cabrera Mariel , Heath Travis , Drury Andrew , Jones Jessica , Ayub Muhammad 
Published: May 2022

Abstract
Background
Challenging behaviours, in particular aggressive behaviours, are prevalent among people with intellectual developmental disabilities. Predictors of challenging behaviours are numerous, including past history of aggression, poor coping skills and impulsivity. Factors like motor or rapid-response impulsivity (RRI) have neurobiological underpinnings that may be amenable to change via neuromodulation using non-invasive brain stimulation techniques like transcranial direct current stimulation (tDCS).

Methods
This study aims to determine the efficacy of anodal tDCS in reducing RRI and incidents of aggression in people with intellectual developmental disabilities (IDD) in residential or hospital settings. Using a single blind, randomised, sham-controlled trial design, adults with IDD, with a history of impulsivity leading to aggression, will be randomised to receive either repetitive anodal or sham tDCS applied to the left dorsolateral prefrontal cortex. Outcome measures assessing impulsivity and aggression will be collected for up to 1 month following the last tDCS session.

Discussion
The results of this study may pave the way for developing targeted interventions for impulsivity and aggressive behaviours in people with IDD.
A randomized controlled trial to assess the efficacy of Parenting-STAIR in treating maternal PTSD to reduce maltreatment recidivism: protocol for the Safe Mothers, Safe Children study
Authors: Lindsey Michael , Sullivan Kathrine , Chemtob Claude , Ancharski Kelly , Jaccard James , Cloitre Marylène , Urquiza Anthony , Timmer Susan , Okosi Mercedes , Kaplan Debra 
Published: May 2022

Abstract
Background
Child maltreatment recidivism substantially increases the likelihood of adverse life outcomes, but there is little evidence that family preservation services are effective at reducing recidivism. Mothers in child welfare have very high rates of trauma exposure; maternal post-traumatic stress disorder (PTSD) is an intervention target that has the potential to reduce abuse and neglect. The Safe Mothers, Safe Children (SMSC) intervention program involves the delivery of an innovative combination of interventions, including Skills Training in Affective and Interpersonal Regulation (STAIR) and Parent-Child Interaction Therapy (PCIT). The combined intervention, Parenting-STAIR (P-STAIR), targets maternal PTSD and comorbid depression symptoms to reduce the adverse effects of PTSD on parenting, improve positive parenting skills, and prevent maltreatment recidivism.

Methods
This study is a two-arm randomized controlled trial: P-STAIR (23 sessions) versus supportive counseling (23 sessions). Participants are mothers receiving child welfare family preservation services (FPS), with a child in the age range of 1–8 years old and meeting diagnostic criteria for PTSD (with/without depression). Clinical assessment occurs at pre-treatment (baseline), two in-treatment assessments (mid-assessment #1 after module 9 and mid-assessment #2 after module 15), post-treatment, and at a 6-month follow-up. Recidivism will be measured using the New York State Child Welfare Registry (NYSCWR). We will enroll a total of 220 participants over 4 years: half (N = 110) randomly assigned to the P-STAIR condition and half (N = 110) to the supportive counseling condition.

Discussion
This is the first RCT to investigate the efficacy of P-STAIR. The findings for the trial have the potential to contribute to the expansion of evidence-based practices for maternal PTSD, maltreatment, and child welfare.
Dynamic functional connectivity patterns associated with dementia risk
Authors: Dautricourt Sophie , Gonneaud Julie , Landeau Brigitte , Calhoun Vince D. , de Flores Robin , Poisnel Géraldine , Bougacha Salma , Ourry Valentin , Touron Edelweiss , Kuhn Elizabeth , Demintz-King Harriet , Marchant Natalie L. , Vivien Denis , de la Sayette Vincent , Lutz Antoine , Chételat Gaël ,   for the Medit-Ageing Research Group, Arenaza-Urquijo Eider M. , Allais Florence , André Claire , Asselineau Julien , Bejanin Alexandre , Champetier Pierre , Chételat Gaël , Chocat Anne , Dautricourt Sophie , de Flores Robin , Delarue Marion , Egret Stéphanie , Felisatti Francesca , Devouge Eglantine Ferrand , Frison Eric , Gonneaud Julie , Heidmann Marc , Tran Thien Huong , Kuhn Elizabeth , le Du Gwendoline , Landeau Brigitte , Lefranc Valérie , Lutz Antoine , Mezenge Florence , Moulinet Inès , Ourry Valentin , Palix Cassandre , Paly Léo , Poisnel Géraldine , Quillard Anne , Rauchs Géraldine , Rehel Stéphane , Requier Florence , Touron Edelweiss , Vivien Denis , Ware Caitlin , Lugo Sebastian Baez , Klimecki Olga , Vuilleumier Patrik , Barnhofer Thorsten , Collette Fabienne , Salmon Eric , de la Sayette Vincent , Delamillieure Pascal , Batchelor Martine , Beaugonin Axel , Gheysen Francis , Demnitz-King Harriet , Marchant Natalie , Whitfield Tim , Schimmer Corinne , Wirth Miranka 
Published: May 2022

Abstract
Background
This study assesses the relationships between dynamic functional network connectivity (DFNC) and dementia risk.

Methods
DFNC of the default mode (DMN), salience (SN), and executive control networks was assessed in 127 cognitively unimpaired older adults. Stepwise regressions were performed with dementia risk and protective factors and biomarkers as predictors of DFNC.

Results
Associations were found between times spent in (i) a “weakly connected” state and lower self-reported engagement in early- and mid-life cognitive activity and higher LDL cholesterol; (ii) a “SN-negatively connected” state and higher blood pressure, higher depression score, and lower body mass index (BMI); (iii) a “strongly connected” state and higher self-reported engagement in early-life cognitive activity, Preclinical Alzheimer’s cognitive composite-5 score, and BMI; and (iv) a “DMN-negatively connected” state and higher self-reported engagement in early- and mid-life stimulating activities and lower LDL cholesterol and blood pressure. The lower number of state transitions was associated with lower brain perfusion.

Conclusion
DFNC states are differentially associated with dementia risk and could underlie reserve.
An annotated corpus of clinical trial publications supporting schema-based relational information extraction
Authors: Sanchez-Graillet Olivia , Witte Christian , Grimm Frank , Cimiano Philipp 
Published: May 2022

Abstract
Background
The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across different trials. This can be facilitated and partially automatized by information extraction systems. In order to support the development of systems that can extract information from published clinical trials at a fine-grained and comprehensive level to populate a knowledge base, we present a richly annotated corpus at two levels. At the first level, entities that describe components of the PICO elements (e.g., population’s age and pre-conditions, dosage of a treatment, etc.) are annotated. The second level comprises schema-level (i.e., slot-filling templates) annotations corresponding to complex PICO elements and other concepts related to a clinical trial (e.g. the relation between an intervention and an arm, the relation between an outcome and an intervention, etc.).

Results
The final corpus includes 211 annotated clinical trial abstracts with substantial agreement between annotators at the entity and scheme level. The mean Kappa value for the glaucoma and T2DM corpora was 0.74 and 0.68, respectively, for single entities. The micro-averaged F1 score to measure inter-annotator agreement for complex entities (i.e. slot-filling templates) was 0.81.The BERT-base baseline method for entity recognition achieved average micro- F1 scores of 0.76 for glaucoma and 0.77 for diabetes with exact matching.

Conclusions
In this work, we have created a corpus that goes beyond the existing clinical trial corpora, since it is annotated in a schematic way that represents the classes and properties defined in an ontology. Although the corpus is small, it has fine-grained annotations and could be used to fine-tune pre-trained machine learning models and transformers to the specific task of extracting information about clinical trial abstracts.For future work, we will use the corpus for training information extraction systems that extract single entities, and predict template slot-fillers (i.e., class data/object properties) to populate a knowledge base that relies on the C-TrO ontology for the description of clinical trials. The resulting corpus and the code to measure inter-annotation agreement and the baseline method are publicly available at https://zenodo.org/record/6365890.
On statistical convergence and strong Cesàro convergence by moduli for double sequences
Authors: León-Saavedra Fernando , Listán-García María del Carmen , Romero de la Rosa María del Pilar 
Published: May 2022

AbstractA remarkable result on summability states that the statistical convergence and the strong Cesàro convergence are closely connected. Given a modulus functionf, we will establish that a double sequence that isf-strong Cesàro convergent is alwaysf-statistically convergent. The converse, in general, is false even for bounded sequences. However, we will characterize analytically the modulus functionsffor which the converse of this result remains true. The results of this paper adapt to several variables the results obtained in (León-Saavedra et al. in J. Inequal. Appl. 12:298, 2019).
Analysis of hemisphere-dependent effects of unilateral intrastriatal injection of α-synuclein pre-formed fibrils on mitochondrial protein levels, dynamics, and function
Authors: Creed Rose B. , Memon Adeel A. , Komaragiri Sindhu P. , Barodia Sandeep K. , Goldberg Matthew S. 
Published: May 2022

AbstractGenetic and neuropathological evidence strongly implicates aberrant forms of α-synuclein in neurodegeneration. Antibodies specific for α-synuclein phosphorylated at serine 129 (pS129) are selective for the pathological protein aggregates that are characteristic of Parkinson’s disease (PD) and other synucleinopathies, such as dementia with Lewy bodies (DLB) and multiple system atrophy (MSA). Although the etiology of most synucleinopathies remains uncertain, a large body of evidence points to mitochondrial dysfunction. The recent development of animal models based on intracranial injection of α-synuclein pre-formed fibrils (PFFs) has provided a valuable experimental system in which to study the spread and neurotoxicity of α-synuclein aggregates, yet the effects of PFF-induced protein aggregates on mitochondrial function and dynamics have not been rigorously examined in vivo. To help fill this knowledge gap, we injected the striatum of mice unilaterally with well-characterized small length (< 30 nm) PFFs or monomeric α-synuclein control and measured the distribution and extent of pS129 α-synuclein-immunoreactive aggregates, the loss of tyrosine hydroxylase-immunoreactive neurons in the substantia nigra, the abundance of mitochondrial proteins, and the activity of mitochondrial respiratory chain components at 3 months and 6 months post injection. Intrastriatal injection of small length PFFs, but not monomeric α-synuclein control, induced robust pS129 α-synuclein immunoreactive inclusions in the cortex, ventral midbrain, and striatum, as well as in rarely reported brain regions, such as the hippocampus, as early as 3 months post injection. Significant loss of nigral tyrosine hydroxylase-immunoreactive neurons was observed in the PFF-injected hemisphere at 3 months and 6 months post injection. The unilateral striatal injection of small length PFFs also caused hemisphere-dependent and treatment-dependent changes in the cortical levels of mitochondrial proteins such as VDAC1, COX-IV, and DRP-1, as well as functional changes in mitochondrial complex I activity in the contralateral striatum. Together, these data demonstrate that intrastriatal injection of mice with small length PFFs induces extensive bilateral protein aggregates, significant unilateral nigral cell loss, and altered contralateral levels of mitochondrial proteins and respiratory chain activity. Our data suggest this animal model may be useful for studying the role of mitochondrial dysfunction in α-synucleinopathies, for studying the hemisphere-dependent effects of α-synuclein aggregates, and for testing neuroprotective therapies that target mitochondrial dysfunction and protein aggregation.
Urban historic heritage buffer zone delineation: the case of Shedian
Authors: Lv Ruobing , Liu Yiping , Zhang Ling , Kong Dezheng 
Published: May 2022

Abstract
Buffer zones help protect historical heritage sites’ integrity, authenticity, and sustainability, and thus are an essential measure for protecting such sites. Traditional buffer zone delineation considers mainly the urban texture, a rigid boundary, visual corridor construction, and other factors. A more direct approach is designating a rated outer periphery that includes historic properties as a buffer zone. However, boundaries determined by single-value orientation tend to omit protected objects. A buffer zone formed by boundary translation and enclosure will include many low-value areas in the protection scope, thereby wasting resources and affecting historic towns’ natural development, resulting in a severe contradiction between humanity and the earth. This paper proposes a new method for delimiting buffer zones. The method arises from the field that covers the value assessment of cultural heritage and from the principles of comprehensive protection, which combine cultural heritage’s tangible and intangible properties. We used 29 historical preservation plans as samples to obtain statistics on their protection content, selected natural and agriculture landscapes, architectural features, construction quality, number of stories in a building, building age, protection class, street pattern, historical elements, urban texture, cultural industry, and cultural elements according to the frequency of occurrence as the primary factors affecting a buffer zone’s boundary demarcation. These factors were weighed and evaluated by the multi-criteria decision-making method (MCDM) to create a comprehensive evaluation map for helping determine a buffer zone’s boundary. Using such method, we identified the value of historical heritage through employing the quantitative analysis method of MCDM. We also used the evaluation result to determine the buffer zone boundary objectively. This approach rectifies the problems found in previous studies, namely an incomplete accounting of all relevant factors and a lack of data; it also provides a definition of an historical heritage buffer zone.