Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy and safety of adamgammadex for reversing rocuronium‐induced deep neuromuscular blockade: A multicenter, randomized, phase IIb study

Abstract The rapid reversal of deep neuromuscular blockade (NMB) is important but remains challenging. This study aimed to evaluate the efficacy and safety of adamgammadex versus sugammadex in reversing deep rocuronium‐induced NMB. This multicenter, randomized, phase IIb study included 80 patients aged 18–64 years, American Society of Anesthesiologists (ASA) grade 1–2, undergoing elective surgery under general anesthesia with rocuronium. Patients were randomized to the adamgammadex 7, 8, and 9 mg/kg group or the sugammadex 4 mg/kg group. The primary efficacy variable was the time to recovery of train‐of‐four ratio (TOFr) to 0.9. The secondary efficacy variables were the time to recovery of TOFr to 0.7, antagonistic success rate of the recovery of TOFr to 0.9 within 5 min, and incidence rate of recurarization within 30 min after drug administration. The explorative efficacy variable was the time to recovery of the corrected TOFr to 0.9 (actual/baseline TOF ratio). Adamgammadex 7, 8, and 9 mg/kg and sugammadex 4 mg/kg groups did not significantly differ in all efficacy variables. Importantly, adamgammadex 9 mg/kg permitted reversal within a geometric mean of 2.9 min. According to the safety profile, adamgammadex achieved good tolerance and low incidence of drug‐related adverse events compared with the 4 mg/kg sugammadex. Adamgammadex 7, 8, and 9 mg/kg facilitated rapid reversal of deep rocuronium‐induced NMB and had good tolerance and low incidence of drug‐related adverse events. Therefore, adamgammadex is a potential and promising alternative to sugammadex.
Are Faster Participants Always Faster? Assessing Reliability of Participants’ Mean Response Speed in Picture Naming

Studies of language production often make use of picture naming tasks to investigate the cognitive processes involved in speaking, and many of these studies report a wide range of individual variability in how long speakers need to prepare the name of a picture. It has been assumed that this variability can be linked to inter-individual differences in cognitive skills or abilities (e.g., attention or working memory); therefore, several studies have tried to explain variability in language production tasks by correlating production measures with scores on cognitive tests. This approach, however, relies on the assumption that participants are reliable over time in their picture naming speed (i.e., that faster speakers are consistently fast). The current study explicitly tested this assumption by asking participants to complete a simple picture naming task twice with one to two weeks in between sessions. In one experiment, we show that picture naming speed has excellent within-task reliability and good test-retest reliability, at least when participants perform the same task in both sessions. In a second experiment with slight task variations across sessions (a speeded and non-speeded picture naming task), we replicated the high split-half reliability and found moderate consistency over tasks. These findings are as predicted under the assumption that the speed of initiating responses for speech production is an intrinsic property or capacity of an individual. We additionally discuss the consequences of these results for the statistical power of correlational designs.
Adherence to Practice Guidelines in the Implementation of Emergency Obstetric and Newborn Care in Referral Hospitals in Osun State, Nigeria

Introduction While practice guidelines support clinical decision-making for optimal patient outcomes, there is often nonadherence to practice guidelines in implementing evidence-based interventions. Objectives This article aimed to assess adherence to practice guidelines in emergency obstetric and newborn care (EmONC) and the outcome of pregnancy in cases of obstetric complications in referral hospitals. Method The study employed a descriptive design. A purposive sampling technique was used to select the three tertiary hospitals and six out of nine state hospitals in Osun State. A data extraction form developed based on a fidelity framework was used to collect data on Adherence from 264 cases of obstetric complications. Descriptive statistics, such as frequency and percentage, and inferential statistics, such as chi-square, were done with the significance level set as p < . 05. Results Findings showed low adherence to practice guidelines in 70.8% of hemorrhage care, 52.0% of fetal distress care, 60.0% of prolonged obstructed labor care, and 44.4% of preeclampsia/eclampsia care. The study's findings also showed that 64.3% of cases of prolonged/obstructed labor, 54.9% of cases of fetal distress, and 46.7% of all cases of obstetric complications were referred out at the state hospitals. Neonatal mortality in state and tertiary hospitals was 3.7% and 21.7%, respectively, which was significantly different (p < .001). Conclusion There was low adherence to practice guidelines for the implementation of EmONC in state and tertiary hospitals, and a significant number of cases of obstetric complications were referred out in the state hospitals. The low adherence to practice guidelines and numerous referrals truncate the successful implementation of EmONC and hinder women and newborns from receiving optimal care for obstetric complications. There is a need to develop strategies that promote adherence to practice guidelines in implementing EmONC.
Mutation profiling in South African patients with Cornelia de Lange syndrome phenotype

Abstract Background Cornelia de Lange Syndrome (CdLS) presents with a variable multi‐systemic phenotype and pathogenic variants have been identified in five main genes. This condition has been understudied in African populations with little phenotypic and molecular information available. Methods and Results We present a cohort of 14 patients with clinical features suggestive of CdLS. Clinical phenotyping was carried out and cases were classified according to the international consensus criteria. According to this criteria, nine patients had classical CdLS, one had non‐classical CdLS and four presented with a phenotype that suggested molecular testing for CdLS. Each patient underwent mutation profiling using a targeted next generation sequencing panel of 18 genes comprising known and suspected CdLS causal genes. Of the 14 patients tested, pathogenic and likely pathogenic variants were identified in nine: eight variants in the NIPBL gene and one in the STAG1 gene. Conclusions We present the first molecular data for a cohort of South African patients with CdLS. Eight of the nine variants identified were in the NIPBL gene, the most commonly involved gene in cases of CdLS. This is also the first report of a patient of African ancestry presenting with STAG1‐related CdLS.
Molecular genetic association of rs8099917 and rs1800795 polymorphisms in the progression of hepatitis Delta virus liver disease

Abstract Background: The relationship between viral infections and host factors holds high hopes for identifying the role of Interferon Lambda 3 (IFNL3) and Interleukin 6 (IL-6) polymorphisms in the development of Chronic Liver Disease (CLD) in patients infected with hepatitis Delta virus (HDV) in the Western Brazilian Amazon. Methods: Cross-sectional study conducted with a cohort of 40 chronic HDV patients, 27 with CLD and 13 without evident liver damage. Biological samples from the participants were analyzed using the polymerase chain reaction (PCR) technique, followed by sequencing by the automated Sanger method. Results: The rs8099917 T allele, from the IFNL3 gene, showed a higher frequency in both groups; however, it was not possible to establish an association with HDV infection [OR = 1.42 (0.42 - 4.75; p = 0.556 (95% CI). For IL-6, the rs1800795 G allele was superior to rs1800795 C. Analyzing both distributions in the studied groups, any association with HDV was absent (p > 0.05). Conclusion: The results suggest that the rs8099917 T/G (IFNL3) and rs1800795 G/C (IL-6) polymorphisms are not associated with the evolution of HDV in the studied population.
Mathematical recapitulation of the end stages of human ovarian aging

Ovarian aging in women can be described as highly unpredictable within individuals but predictable across large populations. We showed previously that modeling an individual woman’s ovarian reserve of primordial follicles using mathematical random walks replicates the natural pattern of growing follicles exiting the reserve. Compiling many simulations yields the observed population distribution of the age at natural menopause (ANM). Here, we have probed how stochastic control of primordial follicle loss might relate to the distribution of the preceding menopausal transition (MT), when women begin to experience menstrual cycle irregularity. We show that identical random walk model conditions produce both the reported MT distribution and the ANM distribution when thresholds are set for growing follicle availability. The MT and ANM are shown to correspond to gaps when primordial follicles fail to grow for 7 and 12 days, respectively. Modeling growing follicle supply is shown to precisely recapitulate epidemiological data and provides quantitative criteria for the MT and ANM in humans.
Neural correlates of fine motor grasping skills: Longitudinal insights into motor cortex activation using fNIRS

Abstract Background Motor learning is essential for performing specific tasks and progresses through distinct stages, including the rapid learning phase (initial skill acquisition), the consolidation phase (skill refinement), and the stable performance phase (skill mastery and maintenance). Understanding the cortical activation dynamics during these stages can guide targeted rehabilitation interventions. Methods In this longitudinal randomized controlled trial, functional near‐infrared spectroscopy was used to explore the temporal dynamics of cortical activation in hand‐related motor learning. Thirty‐one healthy right‐handed individuals were randomly assigned to perform either easy or intricate motor tasks with their non‐dominant hand over 10 days. We conducted 10 monitoring sessions to track cortical activation in the right hemisphere (according to lateralization principles, the primary hemisphere for motor control) and evaluated motor proficiency concurrently. Results The study delineated three stages of nondominant hand motor learning: rapid learning (days 1 and 2), consolidation (days 3–7), and stable performance (days 8–10). There was a power‐law enhancement of motor skills correlated with learning progression. Sustained activation was observed in the supplementary motor area (SMA) and parietal lobe (PL), whereas activation in the right primary motor cortex (M1R) and dorsolateral prefrontal cortex (PFCR) decreased. These cortical activation patterns exhibited a high correlation with the augmentation of motor proficiency. Conclusions The findings suggest that early rehabilitation interventions, such as transcranial magnetic stimulation and transcranial direct current stimulation (tDCS), could be optimally directed at M1 and PFC in the initial stages. In contrast, SMA and PL can be targeted throughout the motor learning process. This research illuminates the path for developing tailored motor rehabilitation interventions based on specific stages of motor learning. NEW and NOTEWORTHY In an innovative approach, our study uniquely combines a longitudinal design with the robustness of generalized estimating equations (GEEs). With the synergy of functional near‐infrared spectroscopy (fNIRS) and the Minnesota Manual Dexterity Test (MMDT) paradigm, we precisely trace the evolution of neural resources during complex, real‐world fine‐motor task learning. Centering on right‐handed participants using their nondominant hand magnifies the intricacies of right hemisphere spatial motor processing. We unravel the brain's dynamic response throughout motor learning stages and its potent link to motor skill enhancement. Significantly, our data point toward the early‐phase rehabilitation potential of TMS and transcranial direct current stimulation on the M1 and PFC regions. Concurrently, SMA and PL appear poised to benefit from ongoing interventions during the entire learning curve. Our findings carve a path for refined motor rehabilitation strategies, underscoring the importance of timely noninvasive brain stimulation treatments.
Distinct parallel activation and interaction between dorsal and ventral pathways during phonological and semantic processing: A cTBS‐fMRI study

Successful visual word recognition requires the integration of phonological and semantic information, which is supported by the dorsal and ventral pathways in the brain. However, the functional specialization or interaction of these pathways during phonological and semantic processing remains unclear. Previous research has been limited by its dependence on correlational functional magnetic resonance imaging (fMRI) results or causal validation using patient populations, which are susceptible to confounds such as plasticity and lesion characteristics. To address this, the present study employed continuous theta‐burst stimulation combined with fMRI in a within‐subject design to assess rapid adaptation in regional activity and functional connectivity of the dorsal and ventral pathways during phonological and semantic tasks. This assessment followed the precise inhibition of the left inferior parietal lobule and anterior temporal lobe in the dorsal and ventral pathways, respectively. Our results reveal that both the dorsal and ventral pathways were activated during phonological and semantic processing, while the adaptation activation and interactive network were modulated by the task type and inhibited region. The two pathways exhibited interconnectivity in phonological processing, and disruption of either pathway led to rapid adaptation across both pathways. In contrast, only the ventral pathway exhibited connectivity in semantic processing, and disruption of this pathway alone resulted in adaptive effects primarily in the ventral pathway. These findings provide essential evidence supporting the interactive theory, phonological information processing in particular, potentially providing meaningful implications for clinical populations.
Role of Biobran (Arabinoxylan Rice Bran) on Patients with Advanced Stage Hepatocellular Carcinoma

Abstract Background and objectives Carcinoma of liver – renowned, has taken third position in world ranking, comparing to other causes for cancer-related death, however, curative treatment of hepatocellular carcinoma (HCC) is largely absent and even proper management of HCC patients is extremely difficult. The situation becomes more complex when HCC patients are attended by physicians in their terminal state. Arabinoxylan rice bran (biobran) is an inherent product and hemicellulose which is denatured, as well as gained by hemicellulose including a number of hydrolyzing enzymes of carbohydrate from Shiitake mushrooms. It enhances activities of different immune cells and may exert some effects in cancer patients. Materials and methods In this observation study, the implication of biobran was assessed in a small group of 52 HCC patients. One halves of the patient received biobran and the other halves received best supportive care (BSC). Results Baseline parameters in two groups were mostly comparable. During observation after 30, 60, and 90 days, a total of six, one, and one patient were alive in biobran group, respectively. The survival of cancer patients of the BSC group was comparable at these time points (6, 1, and 0, respectively) with no statistical significance. After 30 days of treatment, those who were survived in biobran group, the mean CP score was 11.00 ± 1.55 and 10.50 ± 0.84 at pretreatment and posttreatment, respectively, (p = 0.20). Conclusion Biobran may be of some benefit for terminal HCC, however, more studies are warranted to optimize dose and duration of therapy. How to cite this article Ashrafujjaman M, Mahtab MA, Noor-E-Alam SM, et al. Role of Biobran (Arabinoxylan Rice Bran) on Patients with Advanced Stage Hepatocellular Carcinoma. Euroasian J Hepato-Gastroenterol 2023;13(2):84–88.
Two risk factors for hypozincemia in diabetic β-thalassemia patients: Hepatitis C and deferasirox

Background and aim Hypozincemia is a prevalent adverse consequence in diabetes mellitus (DM) and β-Thalassemia patients. We aimed to evaluate the level of serum zinc in β-thalassemia patients with DM and a risk assessment for hypozincemia. Methods The study population included transfusion-dependent thalassemia (TDT) and non-transfusion-dependent thalassemia (NTDT) with overt DM (fasting plasma glucose (FPG) ≥126 mg/dL, and/or 2-h plasma glucose≥200 mg/dL). Serum zinc concentration was measured by the colorimetric method, and the values below 70 μg/dL were defined as hypozincemia. Myocardial and liver T2*-weighted magnetic resonance imaging (MRI T2*, millisecond [ms]) were valued by a free contrast MRI. The demographic, clinical, paraclinical, and laboratory data were also recorded. The data belonged to the period from December 2018 until December 2020. Results Of 64 diabetic β-thalassemia patients, 41 cases had zinc data in their medical files (aged 38 ± 9 years, 48.8% female). 78.05% of patients (n = 32) were TDT, and 21.95% were NTDT (n = 9). The mean ± standard deviation of zinc level was 110.2 ± 127.6 μg/dL. The prevalence of hypozincemia was 9.76%, 95% confidence interval [CI] 0.27 to 19.24 (four cases). After controlling age, the odds of hypozincemia for using deferasirox (DFX) was 8.77, 95% CI 0.60 to 127.1. In β-thalassemia patients, the age-adjusted risk of hypozincemia was calculated at 15.85, 95% CI 0.47 to 529.3 for hepatitis C. The adjusted risk of hypozincemia based on age for antacid use was 6.34, 95% CI 0.39 to 102.7. Conclusion In light of this study, as well as hepatitis C, using DFX and antacids is associated with a high risk of hypozincemia amid diabetic β-thalassemia cases. However, upward bias should be taken into consideration.
Craving money? Evidence from the laboratory and the field

Continuing to gamble despite harmful consequences has plagued human life in many ways, from loss-chasing in problem gamblers to reckless investing during stock market bubbles. Here, we propose that these anomalies in human behavior can sometimes reflect Pavlovian perturbations on instrumental behavior. To show this, we combined key elements of Pavlovian psychology literature and standard economic theory into a single model. In it, when a gambling cue such as a gaming machine or a financial asset repeatedly delivers a good outcome, the agent may start engaging with the cue even when the expected value is negative. Next, we transported the theoretical framework into an experimental task and found that participants behaved like the agent in our model. Last, we applied the model to the domain of real-world financial trading and discovered an asset-pricing anomaly suggesting that market participants are susceptible to the purported Pavlovian bias.
Metatranscriptomic reconstruction reveals RNA viruses with the potential to shape carbon cycling in soil

Significance The diversity and ecology of RNA viruses is severely understudied in complex environments. Here we investigate the diversity and community patterns of soil RNA viruses by analyzing assembled metatranscriptomes. We tracked RNA viral and host communities for 22 d in 2 soil environments central to carbon cycling, the rhizosphere and detritosphere. This work is an important step toward understanding the factors that drive RNA viral communities. The main hosts in our system may be Fungi and Proteobacteria; this is in contrast to the ocean, where diatoms and other single cellular eukaryotes are primary hosts for RNA viruses. These results greatly expand the known diversity of viruses and contribute to understanding microbial interactions in soil with major implications for carbon cycling. Viruses impact nearly all organisms on Earth, with ripples of influence in agriculture, health, and biogeochemical processes. However, very little is known about RNA viruses in an environmental context, and even less is known about their diversity and ecology in soil, 1 of the most complex microbial systems. Here, we assembled 48 individual metatranscriptomes from 4 habitats within a planted soil sampled over a 22-d time series: Rhizosphere alone, detritosphere alone, rhizosphere with added root detritus, and unamended soil (4 time points and 3 biological replicates). We resolved the RNA viral community, uncovering a high diversity of viral sequences. We also investigated possible host organisms by analyzing metatranscriptome marker genes. Based on viral phylogeny, much of the diversity was Narnaviridae that may parasitize fungi or Leviviridae, which may infect Proteobacteria. Both host and viral communities appear to be highly dynamic, and rapidly diverged depending on experimental conditions. The viral and host communities were structured based on the presence of root litter. Clear temporal dynamics by Leviviridae and their hosts indicated that viruses were replicating. With this time-resolved analysis, we show that RNA viruses are diverse, abundant, and active in soil. When viral infection causes host cell death, it may mobilize cell carbon in a process that may represent an overlooked component of soil carbon cycling.
Relationship between topological efficiency of white matter structural connectome and plasma biomarkers across the Alzheimer's disease continuum

Both plasma biomarkers and brain network topology have shown great potential in the early diagnosis of Alzheimer's disease (AD). However, the specific associations between plasma AD biomarkers, structural network topology, and cognition across the AD continuum have yet to be fully elucidated. This retrospective study evaluated participants from the Sino Longitudinal Study of Cognitive Decline cohort between September 2009 and October 2022 with available blood samples or 3.0‐T MRI brain scans. Plasma biomarker levels were measured using the Single Molecule Array platform, including β‐amyloid (Aβ), phosphorylated tau181 (p‐tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). The topological structure of brain white matter was assessed using network efficiency. Trend analyses were carried out to evaluate the alterations of the plasma markers and network efficiency with AD progression. Correlation and mediation analyses were conducted to further explore the relationships among plasma markers, network efficiency, and cognitive performance across the AD continuum. Among the plasma markers, GFAP emerged as the most sensitive marker (linear trend: t = 11.164, p = 3.59 × 10−24; quadratic trend: t = 7.708, p = 2.25 × 10−13; adjusted R2 = 0.475), followed by NfL (linear trend: t = 6.542, p = 2.9 × 10−10; quadratic trend: t = 3.896, p = 1.22 × 10−4; adjusted R2 = 0.330), p‐tau181 (linear trend: t = 8.452, p = 1.61 × 10−15; quadratic trend: t = 6.316, p = 1.05 × 10−9; adjusted R2 = 0.346) and Aβ42/Aβ40 (linear trend: t = −3.257, p = 1.27 × 10−3; quadratic trend: t = −1.662, p = 9.76 × 10−2; adjusted R2 = 0.101). Local efficiency decreased in brain regions across the frontal and temporal cortex and striatum. The principal component of local efficiency within these regions was correlated with GFAP (Pearson's R = −0.61, p = 6.3 × 10−7), NfL (R = −0.57, p = 6.4 × 10−6), and p‐tau181 (R = −0.48, p = 2.0 × 10−4). Moreover, network efficiency mediated the relationship between general cognition and GFAP (ab = −0.224, 95% confidence interval [CI] = [−0.417 to −0.029], p = .0196 for MMSE; ab = −0.198, 95% CI = [−0.42 to −0.003], p = .0438 for MOCA) or NfL (ab = −0.224, 95% CI = [−0.417 to −0.029], p = .0196 for MMSE; ab = −0.198, 95% CI = [−0.42 to −0.003], p = .0438 for MOCA). Our findings suggest that network efficiency mediates the association between plasma biomarkers, specifically GFAP and NfL, and cognitive performance in the context of AD progression, thus highlighting the potential utility of network‐plasma approaches for early detection, monitoring, and intervention strategies in the management of AD.