Miracle-dz/UniFAR-FTUs huggingface dataset:
Production of Thermophilic Chitinase by Paenibacillus sp. TKU052 by Bioprocessing of Chitinous Fishery Wastes and Its Application in N-acetyl-D-glucosamine Production

The bioprocessing of chitinous fishery wastes (CFWs) to chitinases through fermentation approaches has gained importance owing to its great benefits in reducing the enzyme production cost, and utilizing chitin waste. In this work, our study of the chitinase production of Paenibacillus sp. TKU052 in the presence of different kinds of CFWs revealed a preference for demineralized crab shells powder (deCSP); furthermore, a 72 kDa chitinase was isolated from the 0.5% deCSP-containing medium. The Paenibacillus sp. TKU052 chitinase displayed maximum activity at 70 °C and pH 4–5, while Zn2+, Fe3+, Triton X-100, Tween 40, and SDS exerted a negative effect on its activity, whereas Mn2+ and 2-mercaptoethanol were found to potentially enhance the activity. Among various kinds of polysaccharide, Paenibacillus sp. TKU052 chitinase exhibited the best catalytic activity on colloidal chitin (CC) with Km = 9.75 mg/mL and Vmax = 2.43 μmol/min. The assessment of the hydrolysis of CC and N-acetyl chitooligosaccharides revealed that Paenibacillus sp. TKU052 chitinase possesses multiple catalytic functions, including exochitinase, endochitinase, and N-acetyl-β-D-glucosaminidase activities. Finally, the combination of Paenibacillus sp. TKU052 chitinase and Streptomyces speibonae TKU048 N-acetyl-β-D-glucosaminidase could efficiently convert CC to N-acetyl-D-glucosamine (GlcNAc) with a production yield of 94.35–98.60% in 12–24 h.
Host transcriptional response to SARS‐CoV‐2 infection in COVID‐19 patients

Background One of the most perplexing aspects of infection with the SARS-CoV-2 virus has been the variable response elicited in its human hosts. Investigating the transcriptional changes in individuals affected by COVID-19 can help understand and predict the degree of illness and guide clinical outcomes in diverse backgrounds. Methods Analysis of host transcriptome variations via RNA sequencing from naso/oropharyngeal swabs of COVID-19 patients. Results We report strong upregulation of the innate immune response, especially type I interferon pathway, upon SARS-CoV-2 infection. Upregulated genes were subjected to a comparative meta-analysis using global datasets to identify a common network of interferon stimulated and viral response genes that mediate the host response and resolution of infection. A large proportion of mis-regulated genes showed a reduction in expression level, suggesting an overall decrease in host mRNA production. Significantly downregulated genes included those encoding olfactory, taste and neuro-sensory receptors. Many pro-inflammatory markers and cytokines were also downregulated or remained unchanged in the COVID-19 patients. Finally, a large number of non-coding RNAs were identified as down-regulated, with a few of the lncRNAs associated with functional roles in directing the response to viral infection. Conclusions SARS-CoV-2 infection results in the robust activation of the body’s innate immunity. Reduction of gene expression is well correlated with the clinical manifestations and symptoms of COVID-19 such as the loss of smell and taste, and myocardial and neurological complications. This study provides a critical dataset of genes that will enhance our understanding of the nature and prognosis of COVID-19.
Mycobacterial Lineages Associated with Drug Resistance in Patients with Extrapulmonary Tuberculosis in Addis Ababa, Ethiopia

Background In Ethiopia, tuberculosis (TB) is one of the most common causes of illness and death. However, there is limited information available on lineages associated with drug resistance among extrapulmonary tuberculosis patients in Ethiopia. In this study, researchers looked into Mycobacterium tuberculosis lineages linked to drug resistance in patients with extrapulmonary tuberculosis in Addis Ababa, Ethiopia. Methods On 151 Mycobacterium tuberculosis isolates, a cross-sectional analysis was performed. Spoligotyping was used to characterize mycobacterial lineages, while a phenotypic drug susceptibility test was performed to determine the drug resistance pattern. Data were analyzed using SPSS version 23. Results Among 151 Mycobacterium tuberculosis complex (MTBC) genotyped isolates, four lineages (L1–L4), and Mycobacterium bovis were identified. The predominantly identified lineage was Euro-American (73.5%) followed by East-African-Indian (19.2%). Any drug resistance (RR) and multidrug-resistant (MDR) tuberculosis was identified among 16.2% and 7.2% of the Euro-American lineage, respectively, while it was 30.8% and 15.4% among the East-African-Indian lineages. Among all three preextensively drug-resistance (pre-XDR) cases identified, two isolates belong to T3-ETH, and the other one strain was not defined by the database. There was no statistically significant association between any type of drug resistance and either lineage or sublineages of Mycobacterium tuberculosis. Conclusion A higher proportion of any type of drug resistance and MDR was detected among the East-African-Indian lineage compared to others. However, there was no statistically significant association between any type of drug resistance and either lineages or sublineages. Thus, the authors recommend a large-scale study.
AI-Assisted In-House Power Monitoring for the Detection of Cognitive Impairment in Older Adults

In-home monitoring systems have been used to detect cognitive decline in older adults by allowing continuous monitoring of routine activities. In this study, we investigated whether unobtrusive in-house power monitoring technologies could be used to predict cognitive impairment. A total of 94 older adults aged ≥65 years were enrolled in this study. Generalized linear mixed models with subject-specific random intercepts were used to evaluate differences in the usage time of home appliances between people with and without cognitive impairment. Three independent power monitoring parameters representing activity behavior were found to be associated with cognitive impairment. Representative values of mean differences between those with cognitive impairment relative to those without were −13.5 min for induction heating in the spring, −1.80 min for microwave oven in the winter, and −0.82 h for air conditioner in the winter. We developed two prediction models for cognitive impairment, one with power monitoring data and the other without, and found that the former had better predictive ability (accuracy, 0.82; sensitivity, 0.48; specificity, 0.96) compared to the latter (accuracy, 0.76; sensitivity, 0.30; specificity, 0.95). In summary, in-house power monitoring technologies can be used to detect cognitive impairment.
Microencapsulated Chitosan-Based Nanocapsules: A New Platform for Pulmonary Gene Delivery

In this work, we propose chitosan (CS)-based nanocapsules (NCs) for pulmonary gene delivery. Hyaluronic acid (HA) was incorporated in the NCs composition (HA/CS NCs) aiming to promote gene transfection in the lung epithelium. NCs were loaded with a model plasmid (pCMV-βGal) to easily evaluate their transfection capacity. The plasmid encapsulation efficiencies were of approx. 90%. To facilitate their administration to the lungs, the plasmid-loaded NCs were microencapsulated in mannitol (Ma) microspheres (MS) using a simple spray-drying technique, obtaining dry powders of adequate properties. In vivo, the MS reached the deep lung, where the plasmid-loaded CS-based NCs were released and transfected the alveolar cells more homogeneously than the control formulation of plasmid directly microencapsulated in Ma MS. The HA-containing formulation achieved the highest transfection efficiency, in a more extended area and more homogeneously distributed than the rest of tested formulations. The new micro-nanostructured platform proposed in this work represents an efficient strategy for the delivery of genetic material to the lung, with great potential for the treatment of genetic lung diseases.
Higher-Order Language Dysfunctions in Individuals with Alcohol Use Disorder

Patients with alcohol use disorders (AUD) have difficulties with certain aspects of higher-order language functions (HOLF) but there is no data on a wide range of these functions in this group. Therefore, the aim of this study was to compare different aspects of HOLF in patients with AUD and healthy controls (HC). A total of 31 patients with AUD and 44 HC took part in the study. We assessed HOLF with the Right Hemisphere Language Battery (RHLB) and measured control variables: depression using the Patient Health Questionnaire (PHQ) as well as the speed of processing and executive functions with the Color Trails Test (CTT). Patients with AUD had lower results on nine RHLB tests. Moreover, AUD patients had higher scores on PHQ and longer reaction times on CTT. The differences in most RHLB results remained significant after co-varying the control variables. Patients with AUD have difficulties with making inferences from the text, understanding the meaning of individual words, metaphorical content, and prosody, which may impede the comprehension and production of discourse in which linguistic elements must be integrated with non-verbal cues and contextual information. These disturbances may impact various spheres of everyday life and negatively influence social, private, and professional functioning.
Antibiotic Use during the COVID-19 Pandemic in a Tertiary Hospital with an Ongoing Antibiotic Stewardship Program

During the recent pandemic, the fact that the clinical manifestation of COVID-19 may be indistinguishable from bacterial infection, as well as concerns of bacterial co-infection, have been associated with an increased use of antibiotics. The objective of this study was to assess the effect of targeted antibiotic stewardship programs (ASP) on the use of antibiotics in designated COVID-19 departments and to compare it to the antibiotic use in the equivalent departments in the same periods of 2018 and 2019. Antibiotic consumption was assessed as days of treatment (DOT) per 1000 patient days (PDs). The COVID-19 pandemic was divided into three periods (waves) according to the pandemic dynamics. The proportion of patients who received at least one antibiotic was significantly lower in COVID-19 departments compared to equivalent departments in 2018 and 2019 (Wave 2: 30.2% vs. 45.6% and 44.9%, respectively; Wave 3: 30.5% vs. 47.8% and 50.1%, respectively, p < 0.001). The DOT/1000PDs in every COVID-19 wave was lower than during similar periods in 2018 and 2019 (179-282 DOT/1000PDs vs. 452-470 DOT/1000PDs vs. 426-479 DOT/1000PDs, respectively). Moreover, antibiotic consumption decreased over time during the pandemic. In conclusion, a strong ASP is effective in restricting antibiotic consumption, particularly for COVID-19 which is a viral disease that may mimic bacterial sepsis but has a low rate of concurrent bacterial infection.
Clinical importance of serum CEA and CA-19-9 levels in oesophagogastric junction adenocarcinomas

Introduction In recent years, the incidence of gastroesophageal junction tumors has increased rapidly in worldwide. Aim To evaluate pretreatment serum carcinoembryonic antigen (CEA) and carbohydrate antigen (CA) 19-9 in oesophagogastric junction (OGJ) adenocarcinomas regarding clinicopathologic characteristics and overall survival. Material and methods Patients undergoing curative surgery diagnosed with OGJ adenocarcinoma in the gastrointestinal surgery clinic between 2007 and 2019 were included in the study retrospectively. Kaplan Meier and Log Rank tests were performed in survival analyses. Logistic regression analysis was performed to state the independent variables affecting survival. Results The mean age of the 70 patients included in the study was 59.78 ±10.49 (31–76) years. Serum CEA and CA 19-9 were high in 19 (27.1%) patients. CEA ≥ 5 ng/ml was found to be statistically significant in patients receiving neoadjuvant chemotherapy (NAC) and in patients with a high number of positive lymph nodes (N +) (p = 0.041 and p = 0.042, respectively). CA 19-9 positivity was statistically higher in patients with lymphovascular invasion (LVI) and diabetes mellitus (DM) (p = 0.042 and p = 0.012, respectively). The age and N+ findings of the patients in the CA 19-9-positive group were statistically significant compared to the patients in the CA 19-9-negative group (p = 0.039 and p = 0.007, respectively). Overall survival rates of 1–3 and 5 years were statistically significantly lower in patients who were CA 19-9 positive (p = 0.016). For patients in whom both tumour markers were positive, the N+ mean value was statistically significantly higher (p = 0.001). Conclusions In our study, a significant relationship was found in terms of overall survival and serum CA 19-9 in OGJ adenocarcinoma, and it was associated with both tumour markers being positive and the mean N+ value.
Arterial Stiffness Assessment Using the Arteriograph in Patients with Moderate–Severe OSA and Metabolic Syndrome—A Pilot Study

Background: Both obstructive sleep apnea (OSA) and metabolic syndrome (MS) promote arterial stiffening. As a basis for this study, we presumed that arterial stiffness could be assessed using the Arteriograph (TensioMed, Budapest, Hungary) to detect early modifications induced by continuous positive airway therapy (CPAP) in reversing this detrimental vascular remodeling. Arterial stiffness is increasingly acknowledged as a major cardiovascular risk factor and a marker of subclinical hypertension-mediated organ damage. The aim of this pilot study was to evaluate the arterial stiffness changes in patients with moderate–severe OSA and MS after short-term CPAP use. Methods: We performed a prospective study that included patients with moderate–severe OSA and MS who had not undergone previous CPAP therapy. All subjects underwent clinical examination and arterial stiffness assessment using the oscillometric technique with Arteriograph (TensioMed, Budapest, Hungary) detection before and after 8-week CPAP therapy. Results: 39 patients with moderate–severe OSA were included. Eight weeks of CPAP therapy significantly improved central systolic blood pressure (Δ = −11.4 mmHg, p = 0.009), aortic pulse wave velocity (aoPWV: Δ = −0.66 m/s, p = 0.03), and aortic augmentation index (aoAix: Δ = −8.25%, p = 0.01) only in patients who used the device for a minimum of 4 h/night (n = 20). Conclusions: Arterial stiffness was improved only among CPAP adherent patients and could be detected using the Arteriograph (TensioMed, Budapest, Hungary), which involves a noninvasive procedure that is easy to implement for the clinical evaluation of arterial stiffness.
Application of modified breadfruit (Artocarpus altillis) starch by Octenyl Succinic Anhydride (OSA) to stabilize fish and microalgae oil emulsions

This research was aimed to examine the ability of breadfruit OSA starch (BOSA) to stabilize fish and microalgae oil emulsions. Fifteen percent of BOSA or pre-heated BOSA (7.5%) and maltodextrin (7.5%), or mixture of unheated BOSA (7.5%) and maltodextrin (7.5%) were used to stabilize 10% fish and microalgae oils. Characterization of native starch and BOSA included measurement of moisture, starch and amylose content, degree of substitution (DS), emulsification capacity, starch microstructure and thermal properties. The emulsion stability was monitored by emulsification index (EI), mean droplet size (D32), microstructure using photomicroscope and Peroxide Value (PV). Modification of starch (DS, 0.0243) caused decreasing in starch and amylose content to 75.34% and 27.62%, respectively. Starch thermal properties also decreased the onset temperature to 71.23°C (BOSA). Emulsions prepared with pre-heated mixture of BOSA and maltodextrin both in fish and microalgae oils have the smallest droplet size (D32 4.45 ± 0.09 μm and 3.54 ± 0.22 μm, respectively). Microalgae oil emulsions showed significantly (p<0.05) higher in stability towards oxidation compared to fish oil emulsions (PV, 4.65 ± 0.64 meq/kg oil). This research reveals that breadfruit OSA starch is highly recommended as a potential emulsifier to stabilize emulsion of essential oil containing polyunsaturated fatty acids (PUFAs).
Chromosome‐level genome assembly of the mirid predator Cyrtorhinus lividipennis Reuter (Hemiptera: Miridae), an important natural enemy in the rice ecosystem

Though the genomes of many rice herbivorous pests have recently been well characterized, little is known about the genome of their natural enemies. Here, by using the Illumina and PacBio platforms, we sequenced and assembled the whole genome of the mirid species Cyrtorhinus lividipennis Reuter (Hemiptera: Miridae), which is an economically and ecologically important natural enemy in the rice ecosystem acting as a dominant predator for planthoppers and leafhoppers in the field. Through Hi‐C scaffolding, 1615 scaffolds with a total size of 338.08 Mb were successfully anchored onto 13 chromosomes. The assembled genome size was 345.75 Mb with a final scaffold N50 of 27.58 Mb. Approximately 107.51 Mb of sequences accounting for 31.10% of the genome were identified as repeat elements, and 14,644 protein‐coding genes were annotated. Phylogenetic analysis showed that C. lividipennis clustered with other Hemipteran species and diverged from Apolygus lucorum about 66.7 million years ago. Gene families related to detoxification, environmental adaptation and digestion were analysed comparatively with other Hemipteran species, but no significant expansion or contraction was found in C. lividipennis. We also observed male meiosis in C. lividipennis, which showed a typical post‐reduction of sex chromosomes and a karyotype of 2n = 22 + XY. As the first natural‐enemy genome in the rice ecosystem, the genomic resource of C. lividipennis not only expands our understanding of the multitrophic interactions (host plant–prey–predator), but also provides a genomic basis for better understanding this dominant predator and therefore promotes sustainable rice pest management and food grain production.
AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia

Objective To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course. Methods From March 11 to April 15, 2020, 51 patients (age, 18–84 years; 28 men) diagnosed and hospitalized with COVID-19 pneumonia with a total of 116 CT scans were enrolled in the study. Patients were divided into mild (n = 12), moderate (n = 31), and severe (n = 8) groups based on clinical severity. An AI-based quantitative CT analysis, including lung volume, opacity score, opacity volume, percentage of opacity, and mean lung density, was performed in initial and follow-up CTs obtained at different time points. Receiver operating characteristic analysis was performed to find the diagnostic ability of quantitative CT parameters for discriminating severe from nonsevere pneumonia. Results In baseline assessment, the severe group had significantly higher opacity score, opacity volume, higher percentage of opacity, and higher mean lung density than the moderate group (all P ≤ 0.001). Through consecutive time points, the severe group had a significant decrease in lung volume (P = 0.006), a significant increase in total opacity score (P = 0.003), and percentage of opacity (P = 0.007). A significant increase in total opacity score was also observed for the mild group (P = 0.011). Residual opacities were observed in all groups. The involvement of more than 4 lobes (sensitivity, 100%; specificity, 65.26%), total opacity score greater than 4 (sensitivity, 100%; specificity, 64.21), total opacity volume greater than 337.4 mL (sensitivity, 80.95%; specificity, 84.21%), percentage of opacity greater than 11% (sensitivity, 80.95%; specificity, 88.42%), total high opacity volume greater than 10.5 mL (sensitivity, 95.24%; specificity, 66.32%), percentage of high opacity greater than 0.8% (sensitivity, 85.71%; specificity, 80.00%) and mean lung density HU greater than −705 HU (sensitivity, 57.14%; specificity, 90.53%) were related to severe pneumonia. Conclusions An AI-based quantitative CT analysis is an objective tool in demonstrating disease severity and can also assist the clinician in follow-up by providing information about the disease course and prognosis according to different clinical severity groups.
A self-comfort oriented pattern of regulatory behavior and avoidant attachment are more likely among infants born moderate-to-late preterm.

Infants born preterm (<37 gestational weeks, GW) are at increased risk for regulatory difficulties and insecure attachment. However, the association between infants' regulatory behavior patterns and their later attachment organization is understudied in the preterm population. We addressed this gap by utilizing a Portuguese sample of 202 mother-infant dyads. Specifically, we compared the regulatory behavior patterns of 74 infants born moderate-to-late preterm (MLPT, 32-36 GW) to those of 128 infants born full-term (FT, 37-42 GW) and evaluated the associations of these regulatory patterns with later attachment. Infants' regulatory behavior patterns (Social-Positive Oriented, Distressed-Inconsolable, or Self-Comfort Oriented) were evaluated in the Face-to-Face-Still-Face paradigm at 3 months, and their attachment organization (secure, insecure-avoidant, or insecure-ambivalent) was evaluated in the Strange Situation at 12 months corrected age. In both samples, the Social-Positive-Oriented regulatory pattern was associated with secure attachment; the Distressed-Inconsolable pattern with insecure-ambivalent attachment; and the Self-Comfort-Oriented pattern with insecure-avoidant attachment. However, compared to FT infants, infants born MLPT were more likely to exhibit a Self-Comfort-Oriented pattern and avoidant attachment. Most perinatal and demographic variables were not related to infant outcomes. However, infants with a higher 1-min Apgar were more likely to exhibit the Social-Positive-Oriented regulatory pattern and secure attachment.
Ignore the faces: Neural characterisation of emotional inhibition from childhood to adulthood using MEG

The ability to effectively and automatically regulate one's response to emotional information is a basic, fundamental skill for social functioning. The neural mechanisms underlying emotion regulation processing have been assessed, however few investigations have leveraged neurophysiological techniques, particularly magnetoencephalography (MEG) to determine the development of this critical ability. The current MEG study is the first to examine developmental changes in the neural mechanisms supporting automatic emotion regulation. We used an emotional go/no‐go task with happy and angry faces in a single‐site cohort of 97 healthy participants, 4–40 years of age. We found age‐related changes as a function of emotion and condition in brain regions key to emotion regulation, including the right inferior frontal gyrus, orbitofrontal cortices and primarily right‐lateralized temporal areas. Interaction effects, including an age by emotion and condition, were also found in the left angular gyrus, an area critical in emotion regulation and attention. Findings demonstrate protracted and nonlinear development, due to the adolescent group, of emotion regulation processing from child to adulthood, and highlight that age‐related differences in emotion regulation are modulated by emotional face type.
Tackling the rhabdomyolysis outbreak before it spins out of control

THE ISSUE Rhabdomyolysis results from the breakdown of damaged muscle with subsequent release of intracellular muscle contents, which can result in acute kidney injury (AKI). Non‐exertional aetiologies include trauma, vascular compromise, drugs, toxins and infections. Exertional rhabdomyolysis occurs after strenuous exercise, and spinning‐induced exertional rhabdomyolysis (SER) has been increasingly reported in the literature since the first reported case in 2004. [2‐7] A similar trend has also been observed in Singapore. [8]