bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mental health and quality of life in postmenopausal women as a function of retrospective menopause symptom severity
Authors: Hooper Savannah C. , Marshall Victoria B. , Becker Carolyn B. , LaCroix Andrea Z. , Keel Pamela K. , Kilpela Lisa S. 
Published: February 2022

Abstract

Objectives:
Perimenopause is commonly viewed as a window of vulnerability for developing psychiatric and eating disorders, especially for women who experience severe symptoms. However, menopausal symptoms may have a lasting effect on older women's mental health and quality of life (QOL) into postmenopause. The current study examined older (60+) postmenopausal women's mental health and QOL as a function of retrospective menopausal symptom severity.

Methods:
Participants were recruited via public online postings and included 227 postmenopausal women, ages 60 to 94 years old (M = 68.84, SD = 6.53). Participants completed an online questionnaire to assess past menopausal symptoms as well as current depression, anxiety, sleep difficulties, binge eating, QOL, and demographics. The relation between the retrospective severity of menopausal symptoms and mental health/QOL was evaluated using linear regressions, while controlling for demographic covariates.

Results:
Retrospective menopause symptom severity was significantly associated with depression, sleep difficulties, binge eating severity, and most QOL measures. Regarding covariates, having a psychiatric history was significantly associated with all outcome variables, except for anxiety. Time since menopause and body mass index were significantly associated with binge eating severity. Regarding specific symptom subgroups, psychological and somato-vegetative symptoms were most associated with mental health and QOL.

Conclusion:
The menopausal transition is a significant change in a woman's life and the challenges of menopausal symptoms can have lasting impacts on women's health. It is imperative that future research seeks to further understand the lasting impacts of this transition on the lives of older women to ensure proper interventions are implemented for successful aging.
Epidemiology, Microbiology, and Genetics of Contact Lens–Related and Non–Contact Lens-Related Infectious Keratitis
Authors: Stapleton Fiona , Shrestha Gauri S. , Vijay Ajay K. , Carnt Nicole 
Published: February 2022

Abstract:
Infectious keratitis is a rare but severe condition associated with a range of ocular and systemic predisposing conditions, including ocular trauma, prior surgery, surface disease, and contact lens (CL) wear. This review explores the epidemiology of infectious keratitis, specifically the differences in disease incidence and risk factors, causative organism profile and virulence characteristics and host microbiome, genetics, gene expression, proteomics, and metabolomic characteristics in CL-related and non–CL-related diseases. Differences exist in the epidemiology, demographics, causative organisms, and their virulence characteristics in CL-related and non–CL-related diseases, and there is less evidence to support differences between these groups of individuals in the ocular surface microbiome, genetics, and pathways of disease. Genetic variations, however, in the host immune profile are implicated in both the onset and severity of infectious keratitis in CL and non-CL wearers. As technologies in metabolomics, proteomics, and genomics improved to be better able to process small-volume samples from the ocular surface, there will be improved understanding of the interplay between the CL, ocular surface, host immune profile, and the microbial environment. This may result in a more personalized approach in the management of disease to reduce disease severity.
Premature acute coronary syndrome: understanding the early onset
Authors: Menezes Fernandes Raquel , Mota Teresa , Costa Hugo , Bispo João , Azevedo Pedro , Bento Dina , Guedes João , Carvalho Daniela , Marques Nuno , Santos Walter , Mimoso Jorge , de Jesus Ilídio ,   On behalf of the Portuguese Registry of Acute Coronary Syndromes (ProACS) investigators
Published: February 2022

Introduction
Acute coronary syndrome (ACS) is less frequent in young adults, but it has become a significant health problem, associated with the increasing prevalence of modifiable risk factors.

Objectives
To characterize patients admitted with premature ACS, comparing with those with nonpremature ACS.

Methods
We performed a retrospective study encompassing patients of the Portuguese Registry (ProACS), comparing two groups: one composed of men less than 55 and women less than 65 years old; and other with men ≥55 and women ≥65 years old at the ACS admission. The primary endpoint was the composite of in-hospital mortality, stroke and myocardial reinfarction (re-MI).

Results
A total of 29 870 patients were enrolled and 25% had premature ACS, with a mean age of 50 ± 7 years old. They had a larger prevalence of smoking habits, obesity and dyslipidemia. ST-segment elevation MI (STEMI) was the main admission diagnosis in young patients and coronary angiogram mainly revealed one vessel disease in this subgroup. They had a lower Killip-Kimball (KK) class and mostly preserved left ventricular ejection fraction (LVEF). Composite endpoint was more frequent in nonpremature ACS patients. Nonpremature age, presentation with syncope or cardiac arrest, KK class >1, multivessel disease and LVEF <40% were independent predictors of the primary endpoint (P < 0.001). Younger patients had lower rates of in-hospital all-cause mortality, re-MI and stroke. One-year all-cause mortality and 1-year cardiovascular and non-cardiovascular readmissions were also lower.

Conclusions
Premature ACS affects 25% of the ACS population, mostly presenting with STEMI, but generally associated with better clinical evolution. Nevertheless, prevention measures are essential to correct modifiable cardiovascular risk factors and reduce coronary events.
Dynamic Mortality Risk Predictions for Children in ICUs: Development and Validation of Machine Learning Models*
Authors: Trujillo Rivera Eduardo A. , Chamberlain James M. , Patel Anita K. , Morizono Hiroki , Heneghan Julia A. , Pollack Murray M. 
Published: February 2022

OBJECTIVES:
Assess a machine learning method of serially updated mortality risk.

DESIGN:
Retrospective analysis of a national database (Health Facts; Cerner Corporation, Kansas City, MO).

SETTING:
Hospitals caring for children in ICUs.

PATIENTS:
A total of 27,354 admissions cared for in ICUs from 2009 to 2018.

INTERVENTIONS:
None.

MAIN OUTCOME:
Hospital mortality risk estimates determined at 6-hour time periods during care in the ICU. Models were truncated at 180 hours due to decreased sample size secondary to discharges and deaths.

MEASUREMENTS AND MAIN RESULTS:
The Criticality Index, based on physiology, therapy, and care intensity, was computed for each admission for each time period and calibrated to hospital mortality risk (Criticality Index-Mortality [CI-M]) at each of 29 time periods (initial assessment: 6 hr; last assessment: 180 hr). Performance metrics and clinical validity were determined from the held-out test sample (n = 3,453, 13%). Discrimination assessed with the area under the receiver operating characteristic curve was 0.852 (95% CI, 0.843–0.861) overall and greater than or equal to 0.80 for all individual time periods. Calibration assessed by the Hosmer-Lemeshow goodness-of-fit test showed good fit overall (p = 0.196) and was statistically not significant for 28 of the 29 time periods. Calibration plots for all models revealed the intercept ranged from–-0.002 to 0.009, the slope ranged from 0.867 to 1.415, and the R
2 ranged from 0.862 to 0.989. Clinical validity assessed using population trajectories and changes in the risk status of admissions (clinical volatility) revealed clinical trajectories consistent with clinical expectations and greater clinical volatility in deaths than survivors (p < 0.001).

CONCLUSIONS:
Machine learning models incorporating physiology, therapy, and care intensity can track changes in hospital mortality risk during intensive care. The CI-M’s framework and modeling method are potentially applicable to monitoring clinical improvement and deterioration in real time.
Choosing antibiotic therapy for severe community-acquired pneumonia
Authors: Martin-Loeches Ignacio , Garduno Alexis , Povoa Pedro , Nseir Saad 
Published: February 2022

Purpose of review
Community-acquired pneumonia (CAP) is known as a major worldwide health concern considering it has been shown to account for 78% of infection-related deaths in the USA. It is a common cause for hospitalization with a continued incidence rise in the elderly, high mortality rate and long-term sequelae in critically ill patients. Severe CAP (sCAP) is an accepted terminology used to describe ICU admitted patients with CAP. The aim of this review is to further report on the major advances in treatment for patients with sCAP including new antibiotic treatments despite macrolide resistance as seen in the ICU, and multifaceted antibiotic stewardship interventions that may lead to the reduction broad-spectrum antibiotic use in CAP.

Recent findings
We aim to examine the most recent findings in order to determine appropriate empirical antibiotic choices, timing regimens and evidence for clinical effectiveness. This will be addressed by focusing on the use combination therapies, the usefulness of severity scores and the difficulty to treat multidrug-resistant pathogens, including gram negatives such as Pseudomonas aeruginosa and methicillin-resistant Staphylococcus aureus. Relevant reports referenced within included randomized controlled trials, meta-analyses, observational studies, systematic reviews and international guidelines where applicable.

Summary
New antibiotics have been recently launched with direct agent-specific properties that have been shown to avoid the overuse of previous broad-spectrum antibiotics when treating patients sCAP. Although narrow-spectrum antibiotics are now recommended and imperative in improving a patients’ prognosis, there are also some considerations when prescribing antibiotics that are beyond the spectrum. There is a need to implement effective policies of de-escalation to avoid antibiotic resistance and the risk for developing subsequent infections by combining informed clinical judgement and the application of biomarkers. Reaching clinical stability and avoidance of treatment failure are the most important pillars in treatment success.
Do Orthognathic Patients and Persons Without Facial Deformities Have Different Visual Attention to Menton Deviation?
Authors: Liu Kai , Wang Xinxi , Abdelrehem Ahmed , Zhang Yujie , Guo Yuxiang , Wang Xudong 
Published: February 2022

Purpose:
This study aimed to quantify how menton deviation influenced facial visual attention of orthognathic patients and persons without facial deformities, and to explore differences between them.

Materials and Methods:
The visual scanning paths of 260 participants (Group I, 130 orthognathic participants; Group II, 130 participants without facial deformities) while observing images reflecting normal subjects and those with different menton deviation degrees were recorded with an eye-tracking device. The fixation duration [FD] and first fixation time [FFT]) on the areas of interest for each group were compared.

Results:
Although Group I devoted longer FD to the lower face than the Group II when observing a normal face (P < 0.05), a menton deviation of 3°D was associated with a significantly longer FD and earlier FFT for both groups (P < 0.05). As the severity of the menton deviation increased, this trend became more obvious, and the visual attention paid to the eyes and nose decreased (FD decreased, FFT delayed), especially for Group II (P < 0.05).

Conclusions:
A menton deviation of 3° can induce abnormally increased visual attention to the lower face in both orthognathic patients and persons without facial deformities. With increased menton deviation, this trend will be more obvious, and the visual attention to the eyes and nose will also be affected, especially for persons without facial deformities, attention to the eyes will be significantly reduced.
Time to Move on: HLA Matching Should Be Reconsidered in Modern Deceased Donor Kidney Allocation
Authors: Gramlick Madelyn E. , Trevillian Paul , Palazzi Kerrin L. , Heer Munish K. 
Published: February 2022

Background.
HLA matching has been the cornerstone of deceased donor kidney allocation policies worldwide but can lead to racial inequity. Although HLA matching has been shown to improve clinical outcomes, the long-term impacts of nonallogenic factors are being increasingly recognized. This has led some transplant programs to include points for nonallogenic factors, for example, age. Our study looks at long-term graft and patient outcomes based on allocation cohorts rather than individual number of HLA mismatches.

Methods.
Using the Australia and New Zealand Dialysis and Transplant Registry, we analyzed 7440 adult deceased donor transplant events from 2000 to 2018. Transplants were classified as HLA matched or nonmatched according to the OrganMatch score and the local allocation algorithms. Graft function was studied with linear mixed modeling and graft rejection with logistic and binomial regression. Time to graft failure and recipient survival were examined with Kaplan–Meier curve and Cox regression models.

Results.
Forty percent of transplants were HLA matched. Mean glomerular filtration rate was 1.76 mL/min/1.73 m2 higher in the matched transplants (P < 0.001). Matched transplants had longer time to graft failure (15.9 versus 12.7 y; P < 0.001) and improved recipient survival (risk of death hazard ratio, 0.83; P = 0.003). Matched recipients spent less time on dialysis (28.1 versus 44.8 mo; P < 0.001), and this significantly contributed to the benefits seen in graft loss and recipient survival. Caucasian recipients were more likely to receive a matched transplant than non-Caucasians.

Conclusions.
Matched transplants showed benefits in graft and recipient outcomes; however, some of these results were of small magnitude, whereas others seemed to be due in part to a reduction in time on dialysis. The benefit for the matched cohort came at the expense of the nonmatched cohort, who spent longer on dialysis and were more likely to be of a minority racial background.
SARS-CoV-2 Viroporins Activate The NLRP3-Inflammasome Via The Mitochondrial Permeability Transition Pore
Authors: Guarnieri Joseph W. , Angelin Alessia , Murdock Deborah G. , Portluri Prasanth , Lie Timothy , Wallace Douglas C. 
Published: February 2022

SUMMARYCytokine storm precipitated by activation of the host innate immune defenses is a major cause of COVID19 death. To elucidate how SARS-CoV-2 initiates this inflammatory process, we studied viroporin proteins E and Orf3a (2-E+2-3a). Expression of 2-E+2-3a in human 293T cells resulted in increased cytosolic Ca++ and then elevated mitochondrial Ca++, taken up through the MUCi11-sensitive mitochondrial calcium uniporter (MCU). Increased mitochondrial Ca++ resulted in stimulation of mitochondrial reactive oxygen species (mROS) production, which was blocked by mitochondrially-targeted catalase or MnTBAP. To determined how mROS activates the inflammasome, we transformed 293T cells with NLRP3, ASC, pro-caspase-1 and pro-IL-1β plus used THP1 derived macrophages to monitor the secretion of mature IL-1β. This revealed that mROS activates a factor that is released via the NIM811-sensitive mitochondrial permeability pore (mtPTP) to activate the inflammasome. Hence, interventions targeting mROS and the mtPTP may mitigate the severity of COVID19 cytokine storms.
TrieDedup: A fast trie-based deduplication algorithm to handle ambiguous bases in high-throughput sequencing
Authors: Hu Jianqiao , Luo Sai , Tian Ming , Ye Adam Yongxin 
Published: February 2022

AbstractBackgroundHigh-throughput sequencing is a powerful tool that is extensively applied in biological studies. However, sequencers may produce low-quality bases, leading to ambiguous bases, ‘N’s. PCR duplicates introduced in library preparation should usually be removed in genomics studies, and several deduplication tools have been developed for this purpose. However, two identical reads may appear different due to ambiguous bases and the existing tools cannot address ‘N’s correctly or efficiently.ResultsHere we proposed and implemented TrieDedup, which uses trie (prefix tree) data structure to compare and store sequences. TrieDedup can handle ambiguous base ‘N’s, and efficiently deduplicate at the level of raw sequences. We also reduced its memory usage by approximately 20% by implementing restrictedDict in Python. We benchmarked the performance of the algorithm and showed that TrieDedup can deduplicate reads up to 270-fold faster than pairwise comparison at a cost of 32-fold higher memory usage.ConclusionsTrieDedup algorithm may facilitate PCR deduplication, barcode or UMI assignment and repertoire diversity analysis of large scale high-throughput sequencing datasets with its ultra-fast algorithm that can account for ambiguous bases due to sequencing errors.AvailabilityTrieDedup is available athttps://github.com/lolrenceH/TrieDedup
Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task
Authors: Chebolu Sahiti , Dayan Peter , Lloyd Kevin 
Published: February 2022

AbstractPaying attention to particular aspects of the world or being more vigilant in general can be interpreted as forms of ‘internal’ action. Such arousal-related choices come with the benefit of increasing the quality and situational appropriateness of information acquisition and processing, but incur potentially expensive energetic and opportunity costs. One implementational route for these choices is widespread ascending neuromodulation, including by acetylcholine (ACh). The key computational question that elective attention poses for sensory processing is when it is worthwhile paying these costs, and this includes consideration of whether sufficient information has yet been collected to justify the higher signal-to-noise ratio afforded by greater attention and, particularly if a change in attentional state is more expensive than its maintenance, when states of heightened attention ought to persist. We offer a partially observable Markov decision-process treatment of optional attention in a detection task, and use it to provide a qualitative model of the results of studies using modern techniques to measure and manipulate ACh in rodents performing a similar task.
The psychotomimetic ketamine disrupts the transfer of late sensory information in the corticothalamic network
Authors: Qin Yi , Mahdavi Ali , Bertschy Marine , Anderson Paul M , Kulikova Sofya , Pinault Didier 
Published: February 2022

ABSTRACTIn prodromal and early schizophrenia, disorders of attention and perception are associated with structural and chemical brain abnormalities, and with dysfunctional corticothalamic networks exhibiting disturbed brain rhythms. The underlying mechanisms are elusive. The non-competitive NMDA receptor antagonist ketamine simulates the symptoms of prodromal and early schizophrenia, including disturbances in ongoing and task & sensory-related broadband beta-/gamma-frequency (17-29 Hz/30-80 Hz) oscillations in corticothalamic networks. In normal healthy subjects and rodents, complex integration processes, like sensory perception, induce transient, large-scale synchronized beta/gamma oscillations in a time window of a few hundreds of ms (200-700 ms) after the presentation of the object of attention (e.g., sensory stimulation). Our goal was to use an electrophysiological multisite network approach to investigate, in lightly anesthetized rats, the effects of a single psychotomimetic dose (2.5 mg/kg, subcutaneous) of ketamine on sensory stimulus-induced oscillations. Ketamine transiently increased the power of baseline beta/gamma oscillations and decreased sensory-induced beta/gamma oscillations. In addition, it disrupted information transferability in both the somatosensory thalamus and the related cortex and decreased the sensory-induced thalamocortical connectivity in the broadband gamma range. In conclusion, the present findings support the hypothesis that NMDA receptor antagonism disrupts the transfer of perceptual information in the somatosensory cortico-thalamo-cortical system.LAY ABSTRACTCognitive deficit is usual in schizophrenia. Perception- or task-related beta/gamma-frequency oscillations are decreased. In healthy humans and rodents, ketamine-induced NMDA receptor antagonism simulates the symptoms of early schizophrenia and excessively amplifies baseline beta/gamma oscillations. In the present study, using an electrophysiological multisite network approach in a rodent model, it is demonstrated that ketamine, systemically administered at a single psychotomimetic dose, increases baseline beta/gamma oscillations, decreases beta/gamma responses induced by sensory stimulation in a short time window (200-700 ms), and disrupts information transfer in the cortico-thalamo-cortical network. The present findings have mechanistic relevance for cognitive deficits in schizophrenia.
Defensive shimmering responses inApis dorsataare triggered by dark stimuli moving against a bright background
Authors: Vijayan Sajesh , Warrant Eric J , Somanathan Hema 
Published: February 2022

AbstractGiant honeybees, including the open-nesting Asian giant honeybeeApis dorsata, display a spectacular collective defence behaviour – known as “shimmering” – against predators, which is characterised by travelling waves generated by individual bees flipping their abdomens in a coordinated and sequential manner across the bee curtain. We examined if shimmering is visually-mediated by presenting moving stimuli of varying sizes and contrasts to the background (dark or light) in bright and dim ambient light conditions. Shimmering was strongest under bright ambient light, and its strength declined under dim-light in this facultatively nocturnal bee.A. dorsatashimmered only when presented with the darkest stimulus against a light background, but not when this condition was reversed (light stimulus against dark background). This response did not attenuate with repeated exposure to the stimuli, suggesting that shimmering behaviour does not undergo habituation. We suggest that this is an effective anti-predatory strategy in open-nestingA. dorsatacolonies which are exposed to high ambient light, as flying predators are more easily detected when they appear as dark moving objects against a bright sky. Moreover, the stimulus detection threshold (smallest visual angular size) is much smaller in this anti-predatory context (1.6° - 3.4°) than in the context of foraging (5.7°), indicating that ecological context affects visual detection threshold.
PBRM1 is a vulnerability in ARID1A deficient multicellular tumor spheroids
Authors: Chakravarty Tomali , Tran Kathleen Diep , Dhamecha Dinesh , Perdue Tyrus , Garzon Jada L. , Menon Jyothi U. , Dutta Arnob 
Published: February 2022

AbstractARID1A, a subunit of SWI/SNF, has been shown to play a major role in recruitment of the chromatin remodeler to enhancers for transcriptional regulation. Mutations inARID1A have been found in various cancers, many of which form solid tumors. Recent studies have revealed vulnerabilities in cells lacking ARID1A, specifically ARID1B, an ortholog and mutually exclusive subunit, in 2D cell culture. However, identification of vulnerabilities within SWI/SNF for loss of ARID1A in a multicellular tumor spheroid, that mimic in vivo condition within tumors, has not been explored. Here we show in the absence of ARID1A in a MTS model, ARID1B continues to be a vulnerability but we have identified PBRM1 as a new vulnerability within SWI/SNF. Levels of ARID1B and PBRM1 are elevated on loss of ARID1A. Further, reduction of ARID1B and PBRM1 protein levels, decreases cell survival and reduces induction of several hypoxia regulated genes in ARID1A deficient MTSs. Our studies have identified PBRM1 as a new vulnerability in ARID1a deficient cancers and which provides a new target for therapeutic strategies.