Miracle-dz/UniFAR-FTUs huggingface dataset:
Undiagnosed Wilson’s Disease and Fibromyalgia Masking Bowel Perforation

Wilson’s disease is a complex multi-organ disease characterized by impaired biliary excretion of copper and resulting deposition of excess copper in the liver and other organs. It has a wide range of clinical presentations, and diagnosis often requires a high degree of clinical suspicion, especially in patients with multiple other comorbidities. We present the case of a 37-year-old woman with a complex medical and psychiatric history who was admitted for chronic diarrhea, hepatic enzyme elevation, electrolyte abnormalities, hyperammonemia, and methicillin-sensitive Staphylococcus aureus bacteremia. She was eventually found to have low serum ceruloplasmin level and elevated urine copper levels. Though confirmatory liver biopsy was not performed due to bowel wall rupture and septic shock, most of her symptoms and lab abnormalities could be explained by an underlying diagnosis of Wilson’s disease. We present this case primarily as a cautionary tale. This patient was not lacking in medical attention prior to this prolonged hospitalization; however, her psychiatric issues and fibromyalgia management were the predominant foci during her frequent primary care office visits and likely distracted from the patient’s chronic laboratory abnormalities. More vigilant laboratory evaluation of underlying medical conditions in psychiatric patients may be warranted in order to prevent serious complications of such conditions.
Development of Polyvinylidene Fluoride Membrane via Assembly of Tannic Acid and Polyvinylpyrrolidone for Filtration of Oil/Water Emulsion

Wastewater containing oil/water emulsion has a serious ecological impact and threatens human health. The impact worsens as its volume increases. Oil/water emulsion needs to be treated before it is discharged or reused again for processing. A membrane-based process is considered attractive in effectively treating oil/water emulsion, but progress has been dampened by the membrane fouling issue. The objective of this study is to develop polyvinylidene fluoride (PVDF) membranes customized for oil/water emulsion separation by incorporating assembly of tannic acid (TA) and polyvinylpyrrolidone (PVP) in the polymer matrix. The results show that the assembly of TA/PVP complexation was achieved as observed from the change in colour during the phase inversion and as also proven from the characterization analyses. Incorporation of the TA/PVP assembly leads to enhanced surface hydrophilicity by lowering the contact angle from 82° to 47°. In situ assembly of the TA/PVP complex also leads to enhanced clean water permeability by a factor of four as a result of enhanced mean flow pore size from 0.2 to 0.9 µm. Owing to enhanced surface chemistry and structural advantages, the optimum hydrophilic PVDF/TA/PVP membrane poses permeability of 540.18 L/(m2 h bar) for oil/water emulsion filtration, three times higher than the pristine PVDF membrane used as the reference.
Enhanced Mathematical Model for Producing Highly Dense Metallic Components through Selective Laser Melting

Featured Application This article provides proper fitting parameters, for a wide variety of metallic alloys, to apply the derived mathematical expression (which allows to determine the scanning speed value needed, with respect to laser power) to produce highly dense components through selective laser melting. Abstract In this work, a previously developed mathematical model to predict bulk density of SLMed (produced via Selective Laser Melting) component is enhanced by taking laser power, scanning speed, hatch spacing, powder’s thermal conductivity and specific heat capacity as independent variables. Experimental data and manufacturing conditions for the selective laser melting (SLM) of metallic materials (which include aluminum, steel, titanium, copper, tungsten and nickel alloys) are adapted from the literature and used to evaluate the validity of the proposed enhanced model. A strong relation between dependent and independent dimensionless products is observed throughout the studied materials. The proposed enhanced mathematical model shows to be highly accurate since the computed root-mean-square-error values (RMSE) does not exceed 5 × 10−7. Furthermore, an analytical expression for the prediction of bulk density of SLMed components was developed. From this, an expression for determining the needed scanning speed, with respect to laser power, to achieve highly dense components produced via SLM, is derived.
Synthesis of poly GMA/DVB and its application for the removal of Malachite Green from aqueous medium by adsorption process

AbstractIn the present study, poly glycidyl methacrylate/divinyl benzene has been synthesized by the co-polymerization of glycidyl methacrylate and divinyl benzene monomers by thermal polymerization method and used as an adsorbent for the removal of malachite green (MG) dye from aqueous medium. This polymeric adsorbent is characterized by Scanning Electron microscopy, energy dispersive X-ray spectroscopy, and Fourier transform infrared spectroscopy. The adsorption data has been applied to various isotherm models such as Langmuir, Freundlich, Dubinin–Radushkevich (D–R), Flory–Huggins (F–H), and Temkin models. Different adsorption parameters such as time variation, effect of dye concentration, and pH effect is successfully evaluated. The maximum adsorption capacity is found to be 13.6 mg g−1 at 310 K which is higher than some other adsorbents reported earlier. In order to study the adsorption mechanism, different kinetic models namely pseudo-first-order, pseudo-second-order and intra-particular diffusion mo.
Electrochemical Biosensors for Cytokine Profiling: Recent Advancements and Possibilities in the Near Future

Cytokines are soluble proteins secreted by immune cells that act as molecular messengers relaying instructions and mediating various functions performed by the cellular counterparts of the immune system, by means of a synchronized cascade of signaling pathways. Aberrant expression of cytokines can be indicative of anomalous behavior of the immunoregulatory system, as seen in various illnesses and conditions, such as cancer, autoimmunity, neurodegeneration and other physiological disorders. Cancer and autoimmune diseases are particularly adept at developing mechanisms to escape and modulate the immune system checkpoints, reflected by an altered cytokine profile. Cytokine profiling can provide valuable information for diagnosing such diseases and monitoring their progression, as well as assessing the efficacy of immunotherapeutic regiments. Toward this goal, there has been immense interest in the development of ultrasensitive quantitative detection techniques for cytokines, which involves technologies from various scientific disciplines, such as immunology, electrochemistry, photometry, nanotechnology and electronics. This review focusses on one aspect of this collective effort: electrochemical biosensors. Among the various types of biosensors available, electrochemical biosensors are one of the most reliable, user-friendly, easy to manufacture, cost-effective and versatile technologies that can yield results within a short period of time, making it extremely promising for routine clinical testing.
Characterization of the Luminal and Mucosa-Associated Microbiome along the Gastrointestinal Tract: Results from Surgically Treated Preterm Infants and a Murine Model

Environmental factors, including nutritional habits or birth mode, are known key determinants for intestinal microbial composition. Investigations of the intestinal microbiome in different species in a multiplicity of studies during recent decades have revealed differential microbial patterns and quantities along the gastrointestinal (GI) tract. Characterization of the microbial pattern in various aspects is a prerequisite for nutritional interventions. In this 16S rRNA amplicon-based approach, we present a characterization of the mucosa-associated microbiome in comparison with the luminal community of four infants at the time of the closure of ileostomies and perform a systematic characterization of the corresponding luminal and mucosal microbiome from jejunal, ileal and colonic regions, as well as collected feces in mice. The most dominant taxa in infant-derived samples altered due to individual differences, and in the mucosa, Enterococcus, Clostridium sensu stricto 1, Veillonella, Streptococcus and Staphylococcus were the most abundant. Two less abundant taxa differed significantly between the mucosa and lumen. In murine samples, relative abundances differed significantly, mainly between the intestinal regions. Significant differences between mouse mucosa- and lumen-derived samples could be found in the observed species with a trend to lower estimated diversity in mucosa-derived samples, as well as in the relative abundance of individual taxa. In this study, we examined the difference between the mucosal and luminal bacterial colonization of the gastrointestinal tract in a small sample cohort of preterm infants. Individual differences were characterized and statistical significance was reached in two taxa (Cupriavidus, Ralstonia). The corresponding study on the different murine intestinal regions along the GI tract showed differences all over the intestinal region.
CRISPR/Cas9 Guided Mutagenesis of Grain Size 3 Confers Increased Rice (Oryza sativa L.) Grain Length by Regulating Cysteine Proteinase Inhibitor and Ubiquitin-Related Proteins

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein (Cas9)-mediated genome editing has become an important way for molecular breeding in crop plants. To promote rice breeding, we edited the Grain Size 3 (GS3) gene for obtaining valuable and stable long-grain rice mutants. Furthermore, isobaric tags for the relative and absolute quantitation (iTRAQ)-based proteomic method were applied to determine the proteome-wide changes in the GS3 mutants compared with wild type (WT). Two target sites were designed to construct the vector, and the Agrobacterium-mediated method was used for rice transformation. Specific mutations were successfully introduced, and the grain length (GL) and 1000-grain weight (GWT) of the mutants were increased by 31.39% and 27.15%, respectively, compared with WT. The iTRAQ-based proteomic analysis revealed that a total of 31 proteins were differentially expressed in the GS3 mutants, including 20 up-regulated and 11 down-regulated proteins. Results showed that differentially expressed proteins (DEPs) were mainly related to cysteine synthase, cysteine proteinase inhibitor, vacuolar protein sorting-associated, ubiquitin, and DNA ligase. Furthermore, functional analysis revealed that DEPs were mostly enriched in cellular process, metabolic process, binding, transmembrane, structural, and catalytic activities. Pathway enrichment analysis revealed that DEPs were mainly involved in lipid metabolism and oxylipin biosynthesis. The protein-to-protein interaction (PPI) network found that proteins related to DNA damage-binding, ubiquitin-40S ribosomal, and cysteine proteinase inhibitor showed a higher degree of interaction. The homozygous mutant lines featured by stable inheritance and long-grain phenotype were obtained using the CRISPR/Cas9 system. This study provides a convenient and effective way of improving grain yield, which could significantly accelerate the breeding process of long-grain japonica parents and promote the development of high-yielding rice.
A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer

Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydrogenase (DHODH) has been demonstrated to be a therapeutic target for SCLC. Network pharmacology analysis and virtual screening were utilized to find out related proteins and investigate candidates with high docking capacity to multiple targets. Graph neural networks (GNNs) and machine learning were used to build reliable predicted models. We proposed a novel concept of multi-GNNs, and then built three multi-GNN models called GIAN, GIAT, and SGCA, which achieved satisfactory results in our dataset containing 532 molecules with all R^2 values greater than 0.92 on the training set and higher than 0.8 on the test set. Compared with machine learning algorithms, random forest (RF), and support vector regression (SVR), multi-GNNs had a better modeling effect and higher precision. Furthermore, the long-time 300 ns molecular dynamics simulation verified the stability of the protein–ligand complexes. The result showed that ZINC8577218, ZINC95618747, and ZINC4261765 might be the potentially potent inhibitors for DHODH. Multi-GNNs show great performance in practice, making them a promising field for future research. We therefore suggest that this novel concept of multi-GNNs is a promising protocol for drug discovery.
An Acute Limb Ischemia Concomitant With a Myocardial Infarction

Acute limb ischemia (ALI) is an abrupt interruption of limb blood flow due to acute occlusion of the peripheral artery. Its concomitant occurrence with myocardial infarction (MI) constitutes a rare but serious clinical situation that worsens the functional prognosis of the affected limb or leads to the death of the patient. We report a case of an 87-year-old male patient who was diagnosed with acute left lower limb ischemia concomitant with MI. The diagnosis was based on clinical, electrical data and arterial angiography scan of limb findings. Thanks to urgent myocardial revascularization associated with that of the lower limb, curative heparin therapy, and armed clinical surveillance, the evolution was favorable.
Nanoproteomic Approach for Isolation and Identification of Potential Biomarkers in Human Urine from Adults with Normal Weight, Overweight and Obesity

In this work, previously synthesized and characterized core-shell silica nanoparticles (FCSNP) functionalized with immobilized molecular bait, Cibacron blue, and a porous polymeric bis-acrylamide shell were incubated with pooled urine samples from adult women or men with normal weight, overweight or obesity for the isolation of potential biomarkers. A total of 30 individuals (15 woman and 15 men) were included. FCSNP allowed the capture of a variety of low molecular weight (LMW) proteins as evidenced by mass spectrometry (MS) and the exclusion of high molecular weight (HMW) proteins (>34 kDa) as demonstrated by SDS-PAGE and 2D SDS-PAGE. A total of 36 proteins were successfully identified by MS and homology database searching against the Homo sapiens subset of the Swiss-Prot database. Identified proteins were grouped into different clusters according to their abundance patterns. Four proteins were found only in women and five only in men, whereas 27 proteins were in urine from both genders with different abundance patterns. Based on these results, this new approach represents an alternative tool for isolation and identification of urinary biomarkers.
The Impact of the COVID-19 Pandemic on Pregnancy Planning Behaviors

Background: Our understanding of how the coronavirus disease 2019 (COVID-19) pandemic has impacted decision-making for women planning to conceive is unclear. We aimed to investigate how the COVID-19 pandemic has influenced pregnancy planning behaviors. Methods: An online questionnaire of closed- and open-ended questions was utilized to capture pregnancy planning behaviors and reported behavioral changes during the COVID-19 pandemic in women planning pregnancy between January and July 2020. Closed-ended questions were analyzed quantitatively, and thematic framework analysis was utilized for open-ended responses. Results: A total of 504 questionnaires were included for analysis. The majority of respondents lived in the United Kingdom. Ninety-two percent of the women were still planning a pregnancy but over half (n = 267) reported that COVID-19 had affected their plans, with 72% of these (n = 189) deliberately postponing pregnancy. Concerns were predominantly over changes in antenatal care, but also fear of adverse effects of the virus on mother and baby. From the thematic analysis (n = 37), lack of services to remove contraceptive devices and provide fertility treatment were also cited. In contrast, 27% (n = 71) reported bringing their pregnancy plans forward; common themes included recalibration of priorities and cancelled or changed plans. Conclusions: The COVID-19 pandemic influenced pregnancy-planning behaviors with many women reporting postponement of pregnancy. These alterations in behavior could impact the health and wellbeing of women planning pregnancy while having important implications for health care services worldwide. Continued provision of family planning and fertility services should be ensured to mitigate the effect of future outbreaks or pandemics.
Associations of Dietary Patterns with Incident Depression: The Maastricht Study

Our aim was to assess the association between a priori defined dietary patterns and incident depressive symptoms. We used data from The Maastricht Study, a population-based cohort study (n = 2646, mean (SD) age 59.9 (8.0) years, 49.5% women; 15,188 person-years of follow-up). Level of adherence to the Dutch Healthy Diet (DHD), Mediterranean Diet, and Dietary Approaches To Stop Hypertension (DASH) were derived from a validated Food Frequency Questionnaire. Depressive symptoms were assessed at baseline and annually over seven-year-follow-up (using the 9-item Patient Health Questionnaire). We used Cox proportional hazards regression analyses to assess the association between dietary patterns and depressive symptoms. One standard deviation (SD) higher adherence in the DHD and DASH was associated with a lower hazard ratio (HR) of depressive symptoms with HRs (95%CI) of 0.78 (0.69–0.89) and 0.87 (0.77–0.98), respectively, after adjustment for sociodemographic and cardiovascular risk factors. After further adjustment for lifestyle factors, the HR per one SD higher DHD was 0.83 (0.73–0.96), whereas adherence to Mediterranean and DASH diets was not associated with incident depressive symptoms. Higher adherence to the DHD lowered risk of incident depressive symptoms. Adherence to healthy diet could be an effective non-pharmacological preventive measure to reduce the incidence of depression.
A Novel Combination of Accelerometry and Ecological Momentary Assessment for Post-Stroke Paretic Arm/Hand Use: Feasibility and Validity

Use of the paretic arm and hand is a key indicator of recovery and reintegration after stroke. A sound methodology is essential to comprehensively identify the possible factors impacting daily arm/hand use behavior. We combined ecological momentary assessment (EMA), a prompt methodology capturing real-time psycho-contextual factors, with accelerometry to investigate arm/hand behavior in the natural environment. Our aims were to determine (1) feasibility and (2) measurement validity of the combined methodology. We monitored 30 right-dominant, mild-moderately motor impaired chronic stroke survivors over 5 days (6 EMA prompts/day with accelerometers on each wrist). We observed high adherence for accelerometer wearing time (80.3%), EMA prompt response (84.6%), and generally positive user feedback upon exit interview. The customized prompt schedule and the self-triggered prompt option may have improved adherence. There was no evidence of EMA response bias nor immediate measurement reactivity. An unexpected small but significant increase in paretic arm/hand use was observed over days (12–14 min), which may be the accumulated effect of prompting that provided a reminder to choose the paretic limb. Further research that uses this combined methodology is needed to develop targeted interventions that effectively change behavior and enable reintegration post-stroke.
Simultaneous Determination of Cocaine and Benzoylecgonine in Vitreous Humor by HPLC

Abstract An isocratic HPLC system for quantifying benzoylecgonine (BE) and cocaine (COC) in vitreous humour (VH) was developed. Following solid-phase extraction, the two drugs are chromatographed on a column filled with octadecyl silica packing, eluted with 75% methanol in phosphate buffer of pH 7, and sensed by UV spectrophotometry at 235 and 275 nm, simultaneously. The detection limit thus achieved was 0.5 μg drug per millilitre of VH. By using tetracaine as internal standard, BE and COC can be determined with a coefficient of variation of 6 and 7%, respectively.
Response Activity in Mixed-Method Survey Data Collection—The Methods Used in a Survey among the Foreign-Born Population in Finland (FinMonik)

In terms of the number of respondents, Survey on Well-Being among Foreign Born Population (FinMonik) is so far the most extensive survey carried out among the population with foreign background in Finland. It comprises a wide range of self-reported data, including information on the respondent’s health, well-being and access to care, which can be widely utilized in planning and assessing integration, health and welfare policies. A mixed-method approach (an electronic questionnaire, a paper questionnaire and phone interviews) was used in collecting the data which consists of responses by 6836 respondents aged 18–64 years. All response types included, the response rate was 53.1% (n = 6836). This study describes in detail the methods used in the FinMonik survey. In addition, we describe the demographics of the respondents partaking in each response format. The aim of the study is to promote the development of mixed-method survey as a way of collecting reliable data that can be used to enhance foreign-born people’s health, well-being and access to health care. The survey responses will be used as a baseline in observing the respondents’ well-being through the register-based data available in several national registers on health, medicine use and access to care as well as the data collected in the study Impact of Coronavirus Epidemic on Well-Being among Foreign Born Population Study (MigCOVID). Furthermore, the FinMonik study protocol will be repeated every four years.