Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of cannabis use on blood levels of brain‐derived neurotrophic factor (BDNF) and nerve growth factor (NGF): A systematic review and meta‐analysis

Abstract Background The impact of cannabis uses on blood levels of brain‐derived neurotrophic factor (BDNF) and nerve growth factor (NGF) remains uncertain, with conflicting findings reported in the literature. BDNF and NGF both are essential proteins for neuron's growth, and their dysregulation is seen in various mental disorders. This study aims to evaluate the relationship between cannabis usage and BDNF and NGF levels due to their potential implications for mental health. Methods A comprehensive search of electronic databases was performed using appropriate MeSH terms and keywords. Inclusion criteria comprised human studies investigating the relationship between cannabis use and BDNF and NGF levels. Results A total of 11 studies met the inclusion criteria and were included. The pooled analysis revealed a nonsignificant association between cannabis use and dysregulated blood levels of BDNF (random‐effects model, standardized mean differences [SMD] = .26, 95% CI −.34 to .76, p = .40). The results of our subgroup analysis based on BDNF source showed a nonsignificant between‐group difference. For NGF levels, four studies were included, the pooled analysis revealed a nonsignificant association between cannabis use and dysregulated blood levels of NGF (random‐effects model, SMD = −.60, 95% CI −1.43 to –.23, p = .16). In both analyses, high heterogeneity was observed among the included studies which is a notable limitation to current meta‐analysis. Conclusion This systematic review highlights the need for further research to elucidate the relationship between cannabis use and these neurotrophic factors. A better understanding of these associations can contribute to our knowledge of the neurobiological effects of cannabis and inform potential implications for mental health, cognitive function, and neurodegenerative disorders.
Pyroptotic Macrophage-Derived Microvesicles Accelerate Formation of Neutrophil Extracellular Traps via GSDMD-N-expressing Mitochondrial Transfer during Sepsis

Macrophage pyroptosis and neutrophil extracellular traps (NETs) play a critical role in sepsis pathophysiology; however, the role of macrophage pyroptosis in the regulation of NETs formation during sepsis is unknown. Here, we showed that macrophages transfer mitochondria to neutrophils through microvesicles following pyroptosis; this process induces mitochondrial dysfunction and triggers the induction of NETs formation through mitochondrial reactive oxygen species (mtROS)/Gasdermin D (GSDMD) axis. These pyroptotic macrophage-derived microvesicles can induce tissues damage, coagulation, and NETs formation in vivo. Disulfiram partly inhibits these effects in a mouse model of sepsis. Pyroptotic macrophage-derived microvesicles induce NETs formation through mitochondrial transfer, both in vitro and in vivo. Microvesicles-mediated NETs formation depends on the presence of GSDMD-N-expressing mitochondria in the microvesicles. This study elucidates a microvesicles-based pathway for NETs formation during sepsis and proposes a microvesicles-based intervention measure for sepsis management.
Human organoids-on-chips for biomedical research and applications

Human organoids-on-chips (OrgOCs) are the synergism of human organoids (HOs) technology and microfluidic organs-on-chips (OOCs). OOCs can mimic extrinsic characteristics of organs, such as environmental clues of living tissue, while HOs are more amenable to biological analysis and genetic manipulation. By spatial cooperation, OrgOCs served as 3D organotypic living models allowing them to recapitulate critical tissue-specific properties and forecast human responses and outcomes. It represents a giant leap forward from the regular 2D cell monolayers and animal models in the improved human ecological niche modeling. In recent years, OrgOCs have offered potential promises for clinical studies and advanced the preclinical-to-clinical translation in medical and industrial fields. In this review, we highlight the cutting-edge achievements in OrgOCs, introduce the key features of OrgOCs architectures, and share the revolutionary applications in basic biology, disease modeling, preclinical assay and precision medicine. Furthermore, we discuss how to combine a wide range of disciplines with OrgOCs and accelerate translational applications, as well as the challenges and opportunities of OrgOCs in biomedical research and applications.
Suicidal Behavior in Nepali motion pictures of three decades (1990–2020): A content analysis

Abstract Background Assessment of the depiction of suicidal behavior in motion pictures would reveal the social representation of suicide that would foster suicide prevention in a country. Objectives We aimed to assess how suicidality has been depicted in Nepali movies by scrutinizing their contents against the sociodemographic checklist and WHO media guidelines for suicidal reporting. Methods This is a narrative quantitative analysis of suicidal behavior portrayals in the Nepali motion pictures that are publicly and freely accessible. Results Overall, out of the 573 scrutinized movies, we found ten movies consisting of 11 characters (i.e., the prevalence is 1.75%) showing suicidal behavior. The majority of suicidal behavior was seen in males 6 (54.5%), and the majority of attempters were students 3 (27.3%) or homemakers 2 (18.2%). Suicidal behavior was mostly observed in unmarried people 6 (54.5%). Hanging was the most prevalent method (45.5%), and home (36.4%) and public places (36.4%) were equally the most frequent places of attempt. The consequential risk factors for the attempts were found to be marital problems/premarital affairs (50%), followed by unfulfilled demand/conflict (30%). While all 11 items depicted the method and place of the attempt, two also depicted the complete scene of the attempt. One item used language that normalized suicide as a constructive solution to the problem. None of the pictures publicized any mental health messages or educated the public about suicide prevention. Conclusions The minimal adherence of the Nepali motion pictures on the depictions of suicidality with WHO media guidelines indicates urgent need to create awareness among the Nepali film fraternity.
Brain‐derived neurotrophic factor (BDNF) levels in panic disorder: A systematic review and meta‐analysis

Abstract Background The existing literature on the association between brain‐derived neurotrophic factor (BDNF) protein levels and panic disorder presents inconsistent findings. This systematic review and meta‐analysis aim to synthesize the available evidence and determine the overall effect of BDNF protein levels in individuals diagnosed with panic disorder. Methods A comprehensive literature search was conducted using electronic databases (PubMed, Embase, Scopus, PsycINFO, and Web of Science) from inception to April 21, 2023. The search strategy included relevant keywords and medical subject headings terms related to BDNF, panic disorder, and protein levels. A random‐effects model was used for the meta‐analysis, and subgroup analyses were performed to explore heterogeneity. Publication bias was assessed using funnel plots and statistical tests. Results A total of 12 studies met the inclusion criteria. The meta‐analysis demonstrated a significant decrease in BDNF protein levels in individuals with panic disorder (SMD = −.53, 95% CI: −1.02 to −.04, p < .001; I 2: 92%). The results of subgroup and meta‐regression analyses were not statistically significant. No significant publication bias was observed based on the results of Egger's regression test (p‐value = .3550). Conclusion This systematic review and meta‐analysis provide evidence of lower BDNF protein levels in individuals diagnosed with panic disorder compared to healthy controls. The findings suggest a potential role for BDNF dysregulation in the pathophysiology of panic disorder. Further research is warranted to elucidate the underlying mechanisms and potential therapeutic implications.
Prevalence and genotypes of Giardia duodenalis in shelter dogs of southeastern Türkiye

Giardia duodenalis is a protozoan parasite found in humans and several mammals. This parasite spreads worldwide and is generally recognized as a zoonotic agent being reported to be one of the most common causes of diarrhea in humans and animals. In this study, it was aimed to determine the prevalence and genotypes of G. duodenalis in shelter dogs in Diyarbakır province being located in the southeastern Anatolia region of Türkiye. Native-Lugol method and nested polymerase chain reaction analyses of 100 fecal samples showed a prevalence of 3.00 and 4.00%, respectively. The prevalence was higher in females and in those younger than 1 year. Sequence analysis revealed the presence of zoonotic assemblage B, assemblage D and assemblage E. The detection of zoonotic assemblage B in this study suggests that dogs may be a reservoir for human giardiasis. Further molecular research is needed to determine the genotype diversity of Giardia as well as its possible role in the transmission of this parasite to humans.
Drivers drowsiness measurement and the indication of eye movements through algorithmatic approach to avoid accidents

Numerous accidents are caused by sleepy drivers. To prevent such mishaps, the sluggishness acknowledgment framework is built based on the acknowledgment of eye states. The primary thought behind this exploration is to build up a drivers Safety framework by demonstrating the auspicious cautioning. This framework will screen the driver's eyes utilizing camera and by building up a calculation we can recognize indications of driver fatigue sufficiently early to avoid accident. We propose an algorithm for knowing the drivers drowsiness by checking the width and height of the eye. It helps to indicate the driver’s drowsiness by giving an alarm. A new formula has been used to check the measurements of eye and face detection. Added that the number of eye blinking count can be measured to check the driver’s drowsiness. Moreover the warning will be deactivatedmanually rather than automatically. So for this purpose adeactivation switch will be used to deactivate warning.
Behavioral Motor Performance.

The human sensorimotor control system has exceptional abilities to perform skillful actions. We easily switch between strenuous tasks that involve brute force, such as lifting a heavy sewing machine, and delicate movements such as threading a needle in the same machine. Using a structure with different control architectures, the motor system is capable of updating its ability to perform through our daily interaction with the fluctuating environment. However, there are issues that make this a difficult computational problem for the brain to solve. The brain needs to control a nonlinear, nonstationary neuromuscular system, with redundant and occasionally undesired degrees of freedom, in an uncertain environment using a body in which information transmission is subject to delays and noise. To gain insight into the mechanisms of motor control, here we survey movement laws and invariances that shape our everyday motion. We then examine the major solutions to each of these problems in the three parts of the sensorimotor control system, sensing, planning, and acting. We focus on how the sensory system, the control architectures, and the structure and operation of the muscles serve as complementary mechanisms to overcome deviations and disturbances to motor behavior and give rise to skillful motor performance. We conclude with possible future research directions based on suggested links between the operation of the sensorimotor system across the movement stages. © 2024 American Physiological Society. Compr Physiol 14:5179-5224, 2024.
RNA binding motif 4 inhibits the replication of ebolavirus by directly targeting 3′-leader region of genomic RNA

ABSTRACT Ebola virus (EBOV) belongs to Filoviridae family possessing single-stranded negative-sense RNA genome, which is a serious threat to human health. Nowadays, no therapeutics have been proven to be successful in efficiently decreasing the mortality rate. RNA binding proteins (RBPs) are reported to participate in maintaining cell integrity and regulation of viral replication. However, little is known about whether and how RBPs participate in regulating the life cycle of EBOV. In our study, we found that RNA binding motif protein 4 (RBM4) inhibited the replication of EBOV in HEK293T and Huh-7 cells by suppressing viral mRNA production. Such inhibition resulted from the direct interaction between the RRM1 domain of RBM4 and the “CU” enrichment elements located in the PE1 and TSS of the 3′-leader region within the viral genome. Simultaneously, RBM4 could upregulate the expression of some cytokines involved in the host innate immune responses to synergistically exert its antiviral function. The findings therefore suggest that RBM4 might serve as a novel target of anti-EBOV strategy.
Prognostic Value of Ultra-Low-Pass Whole-Genome Sequencing of Circulating Tumor DNA in hepatocellular carcinoma under systemic treatment.

Background New prognostic markers are needed to identify patients with hepatocellular carcinoma (HCC) who carry a worse prognosis. Ultra-low-pass whole-genome sequencing (ULP-WGS) (≤0.5× coverage) of cell-free DNA (cfDNA) has emerged as a low-cost promising tool to assess both circulating tumor DNA (ctDNA) fraction and large structural genomic alterations. We studied the performance of ULP-WGS of plasma cfDNA to infer prognosis in patients with HCC. Methods Plasma samples were obtained from patients with HCC prior to surgery, locoregional or systemic therapy, and were analyzed by ULP-WGS of cfDNA to an average genome-wide fold coverage of 0.3x. ctDNA and copy number alterations (CNA) were estimated using the software package ichorCNA. Results Samples were obtained from 73 HCC patients at different BCLC stages (BCLC 0/A: n =37, 50.7%; BCLC B/C: n = 36, 49.3%). ctDNA was detected in 18 out of 31 patients who received systemic treatment. Patients with detectable ctDNA showed significantly worse overall survival (median, 13.96 months vs not reached). ctDNA remained an independent predictor of prognosis after adjustment by clinical-pathologic features and type of systemic treatment (hazard ratio 7.69; 95%, CI 2.09-28.27). Among ctDNA-positive patients under systemic treatments, the loss of large genomic regions in 5q and 16q arms was associated with worse prognosis after multivariate analysis. Conclusions ULP-WGS of cfDNA provides clinically relevant information about the tumor biology. The presence of ctDNA and the loss of 5q and 16q arms in ctDNA-positive patients are independent predictors of worse prognosis in patients with advanced HCC under systemic therapy.
The influence of “bad news” and “neutral/good news” on patients' perception of physician empathy during oncology consultations

Abstract Objectives Being met with empathy increases information sharing, treatment coherence, and helps patients to recover faster. However, we do not know how the content of the conversation about disease progression, new treatments, or other issues concerning serious illness affects patients' perceptions of the physician's empathy, and thus, the quality of the conversation. This study aimed to test the hypothesis that patients will rate their physician lower following a “bad news” consultation using the consultation and relational empathy (CARE) measure. Methods A total of 186 outpatients from the Department of Oncology were recruited for this study. After meeting with a patient, the physician filled out a form, placing the patient in either the “bad news” group, or the “neutral/good news” group along with information about the patient and the consultation. The patient was given the CARE measure after the visit. Results The patients who had received bad news rated their physicians a significantly lower score on the CARE measure, even though the effect size was small, than those who had neutral/good news. On average, bad news consultations were 11 min longer. Conclusions Physicians need to be aware of the patients' need to be known and understood, in addition to having skills to attend to emotional cues and concerns, since the current study's finding could be a sign either of the content being projected onto the physician or that the physician is focused on the message rather than on the patient.
The long-term effect of an m-health tool on self-care in patients with heart failure: a pre-post interventional study with a mixed-method analysis.

AIMS The aims of this study were (i) to evaluate the effects of using an m-health tool on self-care behaviour at 3 and 12 months and (ii) to explore the experiences and perceptions of heart failure (HF) patients about the m-health tool. METHODS AND RESULTS In this pre-post interventional study with a mixed-method analysis, 71 patients diagnosed with HF [49% female, mean age 76.7 years, New York Heart Association (NYHA) II 31%, NYHA III 69%] were enrolled and had the m-health tool installed in their home for 1 year. The tool consisted of a pre-programmed tablet including a weighing scale and interactive education about HF self-care. At baseline, and at 3 and 12 months, self-care was assessed using the European Heart Failure Self-care Behaviour (EHFScB-9) Scale, an eight-item self-administered questionnaire assessing the experiences of the m-health tool. The mean EHFScB-9 at baseline was 63.8 ± 2.8 and it improved to 67.6 ± 7.6 after 3 months (P < 0.05). After 1 year, the score had decreased to 63.2 ± 7.1 (P = 0.68). Most patients rated the tool as 'good', both at 3 months (92%) and after 12 months (93%). Some found the system to be unnecessary to some degree, and this number increased between 3 and 12 months (P < 0.001). Most patients felt that m-health increased their feelings of security, and 85% responded that the system increased their family members' sense of security. CONCLUSION The m-health tool significantly improved patients' self-care behaviour after 3 months, but this effect did not persist after 1 year. For achieving long-term effects and outcomes, additional and regularly updated self-care support may be needed. REGISTRATION ClinicalTrials.gov: NCT04955600.
Resilience and Mental-Health Symptoms in ICU Healthcare Professionals Facing Repeated COVID-19 Waves

Rationale Psychological resilience (the ability to thrive in adversity) may protect against mental-health symptoms in healthcare professionals during coronavirus disease (COVID-19) waves. Objectives To identify determinants of resilience in ICU staff members. Methods In this cross-sectional survey in 21 French ICUs, staff members completed the 10-item Connor-Davidson Resilience Scale, Hospital Anxiety and Depression Scale, and Impact of Event Scale–Revised (for post-traumatic stress disorder [PTSD]). Factors independently associated with resilience were identified. Measurements and Main Results The response rate was 73.1% (950 of 1,300). The median 10-item Connor-Davidson Resilience Scale score was 29 (interquartile range, 25–32). Symptoms of anxiety, depression, and PTSD were present in 61%, 39%, and 36% of staff members, respectively. Distress associated with the COVID-19 infodemic was correlated with symptoms of depression and PTSD. More resilient respondents less often had symptoms of anxiety, depression, and PTSD. Greater resilience was independently associated with male sex, having provided intensive care during the early waves, having managed more than 50 patients with COVID-19, and, compared with earlier waves, working longer hours, having greater motivation, and more often involving families in end-of-life decisions. Independent risk factors for lower resilience were having managed more than 10 patients who died of COVID-19, having felt frightened or isolated, and greater distress from the COVID-19 infodemic. Conclusions This study identifies modifiable determinants of resilience among ICU staff members. Longitudinal studies are needed to determine whether prior resilience decreases the risk of mental ill health during subsequent challenges. Hospital and ICU managers, for whom preserving mental well-being among staff members is a key duty, should pay careful attention to resilience.
Decoding the Genetic and Structural Features of HPV16 E5 Oncogene in Cervical Cancer Isolates from Pakistan: A Pilot Study

Background: Many anogenital cancers are caused by high-risk HPV. The most common subtype is HPV16, which is prevalent in the world, including Pakistan. Various amino acid residues in HPV16 E5 are associated with high cell cycle progression and proliferation. Lack of studies on HPV16E5 in Pakistan prompted the current study. This is the first report on the occurrence of pathogenic E5 variant of HPV16 in tissue sections obtained from invasive cervical cancerous patients in Pakistan. Methods: A subset of 11 samples from HPV-positive biopsies were subjected to E5 gene amplification using PCR and analyzed using bioinformatics programs. The bioinformatics analysis detected mutations causing structural variations, which potentially contribute to the oncogenic properties of proteins. Results: The two-point mutations, C3979A and G4042A, observed in isolate 11 caused the substitution of isoleucine for leucine and valine at positions 44 and 65 in E5 protein. The rest of the isolates had Leu44Val65 amino acids. Intratypic variations and phylogenetic analysis revealed that the majority of the isolates were closely clustered with European-Asian lineage. Moreover, C3979A and G4042A contributed to higher degree of interactions with host receptors, i.e. EGFR. Conclusion: This is the first study reporting HPV16 variants in a Pakistani population based on variations in the E5 region. Our findings indicate that isolate 11 has a strong interaction with the intracellular domain of EGFR, which may enhance the generation of downstream signals. Since this was a pilot study to explore E5 gene mutation, future studies with large samples are absolutely needed.
High-Quality Genome Assemblies Reveal Evolutionary Dynamics of Repetitive DNA and Structural Rearrangements in the Drosophila virilis Subgroup

Abstract High-quality genome assemblies across a range of nontraditional model organisms can accelerate the discovery of novel aspects of genome evolution. The Drosophila virilis group has several attributes that distinguish it from more highly studied species in the Drosophila genus, such as an unusual abundance of repetitive elements and extensive karyotype evolution, in addition to being an attractive model for speciation genetics. Here, we used long-read sequencing to assemble five genomes of three virilis group species and characterized sequence and structural divergence and repetitive DNA evolution. We find that our contiguous genome assemblies allow characterization of chromosomal arrangements with ease and can facilitate analysis of inversion breakpoints. We also leverage a small panel of resequenced strains to explore the genomic pattern of divergence and polymorphism in this species and show that known demographic histories largely predicts the extent of genome-wide segregating polymorphism. We further find that a neo-X chromosome in Drosophila americana displays X-like levels of nucleotide diversity. We also found that unusual repetitive elements were responsible for much of the divergence in genome composition among species. Helitron-derived tandem repeats tripled in abundance on the Y chromosome in D. americana compared to Drosophila novamexicana, accounting for most of the difference in repeat content between these sister species. Repeats with characteristics of both transposable elements and satellite DNAs expanded by 3-fold, mostly in euchromatin, in both D. americana and D. novamexicana compared to D. virilis. Our results represent a major advance in our understanding of genome biology in this emerging model clade.