bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Sewage Molecular Markers in A Highly Industrialized Zone in Peninsular Malaysia
Authors: AL-KHADHER Sadeq , Suratman Suhaimi , Zakaria Mohamad Pauzi 
Published: November 2022

Abstract
The anthropogenic inputs that have serious effects on riverine and coastline ecosystems could be identified using organic chemical tracers like linear alkylbenzenes (LABs). In order to identify the LABs, sediment samples taken from the Kim Kim river and the Port Dickson coast were collected. The origins of the LABs were discovered and identified with the aid of gas chromatography-mass spectrometry (GC-MS). The Pearson correlation coefficient, Post Hoc Tests, LSD Techniques, and Analysis of Variance (ANOVA) were used to establish the significance of differences in the LABs distribution and concentrations among sampling sites at p <0.05. Internal over exterior (I/E) congeners, homologs of C13 and C12, and long over short chain (L/S) were employed to determine the LABs degradation levels and sewage treatment. According to the statistical analysis of the study findings, LABs concentration in the tested areas ranged between 88.3; 112.0 and 119.0; 256.0 ng∙g−1 dw, respectively. With a high number of C13-LAB homologs in the majority of sampling locations, LAB homologs were substantially different at p < 0.05. The fact that the computed LAB ratios (I/E) fell between 1.7; 2.0 and 2.0; 4.1, showed that the investigated locations received effluents from sources related to primary and secondary treatment. In the locations that were investigated, LAB degradation ranged between 34, 38%, 40, and 64%. In conclusion, the need for ongoing wastewater treatment system upgrades and the strong markers of LABs in tracking sewage pollution.
Growth ZIF-8 on carbon cloth for electric field enhanced thin film microextraction of tetracyclines in milk and honey
Authors: Gu Xian-Chun , Sun Ji-Cheng , Yang Cheng , Shen Xiao-Fang , Pang Yue-Hong 
Published: November 2022

Abstract
Tetracyclines (TCs) are a prevalent type of broad-spectrum antibiotic, which could pose a great threat to human health. Herein, ZIF-8 modified carbon cloth (ZIF-8/CC) for electric field-enhanced thin-film microextraction (EE-TFME) of TCs (oxytetracycline, tetracycline and doxycycline) was developed. ZIF-8/CC was prepared by growing ZIF-8 in situ on the surface of CC as the positive electrode of EE-TFME. Compared to the bare carbon cloth electrode, the ZIF-8/CC electrode can enhance the TCs extraction capacity up to nearly twice. Furthermore, EE-TFME could reduce the extraction equilibrium time from 30 min to 20 min. The detection limit of combined high performance liquid chromatography (HPLC) was 2.0-2.5 ng/mL, and the RSDs of intra-day and inter-day were all below 7.1%. The EE-TFME-HPLC method developed based on ZIF-8/CC can be successfully applied to detection of TCs in honey and milk. The spiked recovery experiments of 50 ng/g and 100 ng/g were carried out on milk and honey samples, and the recovery rate of all TCs was between 82.4% and 102.9%, RSDs were less than 8.2%.
Metallothionein gene deficiency facilitates the differentiation of C2C12 myoblasts into slow-twitch myotubes
Authors: Kadota Yoshito , Yamanokuchi Ryo , Ohnishi Nodoka , Matsuoka Mami , Kawakami Takashige , Sato Masao , Suzuki Shinya 
Published: November 2022

Abstract
Metallothionein (MT) 1 and 2 are ubiquitously expressed cysteine-rich, low molecular weight proteins. MT expression is upregulated in skeletal muscle during aging. MTs also play role in multiple types of skeletal muscle atrophy. Meanwhile, it has been reported that MT1 and MT2 gene deficiency increases myogenesis in MT knockout (MTKO) mice. However, little is known about the effect of MTs on muscle formation and atrophy. In this study, we investigated the effect of MT1 and MT2 gene knock-out using the CRISPR-Cas9 system in an in vitro skeletal muscle differentiation model (C2C12 cell line). Although the number of myotubes in C2C12 MTKO cells was comparable to that of mock-transfected cells, MT deficiency promoted myocyte fusion. Muscle-specific transcription factors myoD and myogenin were found to be upregulated at the late stage of myotube differentiation. Furthermore, the fast-twitch myosin heavy chain (MyHC) protein expression was similar in MTKO and mock-transfected myotubes, but slow-MyHC expression was higher in MTKO cells than in mock cells. The MT gene deletion did not affect the number of fast MyHC-positive myotubes but increased the number of slow MyHC-positive myotubes. Treatment with the antioxidant N-acetylcysteine (NAC) inhibited the increase in the number of slow MyHC-positive myotubes as well as slow-MyHC expression in MTKO cells. In contrast, NAC treatment did not alter the number of fast MyHC-positive myotubes or the expression of fast-MyHC in MTKO cells. These results suggest that the antioxidant effects of MTs may be involved in slow-twitch myofiber formation in skeletal muscle.
Fungal communities on alpine cheese rinds in Southern Switzerland
Authors: De Respinis Sophie , Caminada AnnaPaola , Pianta Elisa , Buetti-Dinh Antoine , Scettrini Patrizia Riva , Petrini Liliane , Tonolla Mauro , Petrini Orlando 
Published: November 2022

Abstract
Background: The fungal biodiversity on cheese rinds has been extensively studied for some soft cheeses such as Brie, Camembert, and Roquefort, but scant information is available on the microbiota colonizing the rinds of cheese produced in the Southern Switzerland Alps. This study aimed at exploring the fungal communities present on rinds of cheese produced and matured in Southern Switzerland. We used classical techniques such as dilution series, culturing and macro- and microscopical morphology, matrix-assisted laser desorption/ionization–time of flight (MALDI-TOF) mass spectrometry, and sequencing, as well as metabarcoding targeting the ITS and β-tubulin gene regions, to characterize the fungal communities present of cheese rinds collected in five ripening cellars.
Results: Isolation by serial dilution yielded 201 isolates, of which 39 were yeasts and 162 filamentous fungi. Mucor and Penicillium were the dominant genera. Mucor racemosus, M. lanceolatus, P. camemberti, and P. chrysogenum/rubens were the most frequent species. All but two yeast isolates were identified as Debaryomyces hansenii. Overall, metabarcoding detected 80 fungal species, with Mucor spp. and Penicilliumspp. being the dominant taxa, as opposed to only 9 species recovered by serial dilutions. Culture-dependent and independent methods produced similar results in terms of dominant taxa and similarity of the fungal communities in the five cellars, metabarcoding, however, providing more detailed information.
Conclusions: Our study has shown that the mycobiota on the rinds of alpine cheese is a complex community defined by different parameters, including temperature, relative humidity, and type of cheese, as well as microenvironmental and possibly geographic factors.
Five-mer peptides, GSGFK and GSGNR suppress the aggregation of Aβ25-35 and resolve its aggregate form
Authors: Nakamura Rina , Konishi Motomi , Higashi Youichirou , Saito Motoaki , Akizawa Toshifumi 
Published: November 2022

Abstract
Background
The development of drugs for Alzheimer’s disease (AD), which is related to the misfolding and aggregation of Amyloid-β (Aβ), is high in demand due to the growing number of AD patients. In this study, we screened 22 kinds of 5-mer synthetic peptides derived from the Box A region of Tob1 protein to find a peptide effective against Aβ aggregation.
Methods
A Thioflavin T (ThT) assay was performed to evaluate aggregation and screening aggregation inhibitor. Six weeks male ICR mice were administered of saline, 9 nmol Aβ25–35, or a mixture of 9 nmol Aβ25–35 and 9 nmol GSGFK in the right lateral ventricle. The short-term spatial memory assessed using Y-maze. The BV-2 cells were harvested into 24-well plates (4 × 104 cells/well) and incubated for 48 h and then, the cells were treated with 0.01, 0.05, 0.1, 0.2, or 0.5 mM of GSGFK. After incubation for 24 h, bead uptake was evaluated using a laser confocal microscope and Cytation 5.
Results
We found two kinds of peptides, GSGNR and GSGFK, were not only suppressed aggregation of Aβ25–35 but also resolved the aggregated Aβ25–35. Results obtained from the Y-maze test on an Aβ25-35-induced AD mouse model indicated that GSGFK prevents the deficits in short-term memory induced by Aβ25–35. The effect of GSGFK on phagocytosis in microglia cells (BV-2 cells) proved that GSGFK activates the phagocytic ability of microglia.
Conclusions
In conclusion, 5-mer peptides prevent short-term memory deficit in Aβ25–35 induced AD mouse model by reducing the aggregated Aβ25–35. They may also upregulate the phagocytic ability of microglia, which makes 5-mer peptides suitable candidates as therapeutic drugs against AD.
ePRO Symptom Follow-Up of Colorectal Cancer Patients Receiving Oxaliplatin-Based Adjuvant Chemotherapy is Feasible and Enhances the Quality of Patient Care: a prospective multicenter study
Authors: Iivanainen Sanna , Ravichandra Ravi , Jekunen Antti , Arokoski Reetta , Mentu Santeri , Lang Laura , Ekström Jussi , Virtanen Henri , Kataja Vesa , Koivunen Jussi Pekka 
Published: November 2022

Abstract
Purpose: Electronic (e) patient reported outcomes (PROs) have been shown to improve the quality of life and survival in chemotherapy treated advanced cancer patients. We hypothesized that multidimensional ePRO centered approach could improve symptom management, streamline patient flow, and optimize the use of healthcare resources.
Methods: In this multicenter trial (NCT04081558), colorectal cancer (CRC) patients receiving oxaliplatin-based chemotherapy as adjuvant or in the first or second line setting in advanced disease were included in the prospective ePRO cohort while a comparative retrospective cohort was collected from the same institutes. The investigated tool consisted of a weekly e-symptom questionnaire integrated to an urgency algorithm and laboratory value interface, which generated semi-automated decision support for chemotherapy cycle prescription, and individualized symptom management.
Results: Recruitment to the ePRO cohort occurred 1/2019-1/2021 (n=43). The comparator group (n=194) consisted of patients treated in the same institutes 1-7/2017. The analysis was limited to adjuvant treated (n=36 and n=35). The feasibility of the ePRO follow-up was good with 98% reporting easy usage and 86% improved care, while health care personnel valued the easy use and logical workflow. In the ePRO cohort, 42% needed a phone call before planned chemotherapy cycles while this was 100% in the retrospective cohort (p=1.4e-8). Peripheral sensory neuropathy was detected significantly earlier with ePRO followed (p=1e-5) but did not translate to earlier dose reduction, delays, or unplanned therapy termination compared to the retrospective cohort.
Conclusion: The results suggest that the investigated approach is feasible and streamlines workflow. Earlier symptom detection may improve the quality in cancer care.
Anxious brains: A combined data fusion machine learning approach to predict trait anxiety from gray and white matter features
Authors: Baggio Teresa , Grecucci Alessandro , Meconi Federica , Messina Irene 
Published: November 2022

Abstract
Trait anxiety relates to the steady propensity to experience and report negative emotions and thoughts such as fear and worries across different situations, along with a stable perception of the environment as characterized by threatening stimuli. Previous studies have tried to investigate neuroanatomical features related to anxiety mostly using univariate analyses and, thus, giving rise to contrasting results. The aim of this study is to find a predictive model of individual differences in trait anxiety from brain structural features, with a combined data fusion machine learning approach to allow generalization to new cases. Additionally, we aimed to perform a Network analysis to test the hypothesis that anxiety-related networks have a central role in modulating other networks not strictly associated with anxiety. Finally, we wanted to test the hypotheses that trait anxiety is associated with specific cognitive emotion regulation strategies, and that it decreases with ageing. Structural brain images of 158 participants were first decomposed into independent covarying gray and white matter networks with a data fusion unsupervised machine learning approach (Parallel ICA). Then, trait anxiety was predicted from these networks via supervised machine learning (Decision Trees) and backward regression. Two covarying gray and white matter independent networks successfully predicted trait anxiety. The first network included mainly parietal and temporal regions, such as the postcentral gyrus, the precuneus, and the middle and superior temporal gyrus, while the second included frontal and parietal regions such as the superior and middle temporal gyrus, the anterior cingulate and the precuneus. We also found that trait anxiety was positively associated with catastrophizing, rumination, other- and self-blame, and negatively associated with positive refocusing and reappraisal, and that it decreased with age. This paper provides new insights regarding the prediction of individual differences in trait anxiety from brain and psychological features and can pave the way for future diagnostic predictive models of anxiety.
Highly efficient D-type photonic crystal fiber surface plasmon resonance sensor for same space-time temperature and refractive index detection
Authors: Zhang Shan , Zhang Ping , Dong Zhaoyong , Xu Dongfu , Wang Dong , Li Jing 
Published: November 2022

Abstract
In order to realize temperature and refractive index (RI) detection of the analyte in the same space-time, a dual parameter detection photonic crystal fiber (PCF) optical sensor is proposed in this paper. Meanwhile, it can effectively avoid the interference of analyte temperature with RI detection. Further, a dual polished D-type structure is designed to provide mutually independent detection channels for temperature and RI, respectively. In addition, silver is used as the metal layer material, and polydimethylsiloxane (PDMS) and titanium dioxide (TiO2) are used as the temperature sensitive materials and RI sensitive materials, respectively. This structure design enables the two detection results to be output in parallel without interfering with each other. The proposed optical fiber sensor has a wide detection range and good detection performance. The temperature detection range can be as wide as -60°C to 100°C, and the RI detection range is 1.30-1.40. The best temperature resolution can be 1.42×10-2 RIU, and the temperature wavelength sensitivity is 0.7 nm/°C. While the RI wavelength sensitivity is up to 1.25×104 nm/RIU, and the wavelength resolution is 8×10-6 RIU. The detailed fabrication process of the sensor is given in this paper, as well as the practical application scenarios. Therefore, the optical fiber sensor proposed in this paper has research significance for the development of dual parameter detection optical fiber sensors.
Presence of retinopathy and incident kidney and cardiovascular events in type 2 diabetes with normoalbuminuria – a post-hoc analysis of the PRIORITY randomized clinical trial
Authors: Curovic Viktor , Tofte Nete , Lindhardt Morten , Adamova Katarina , Bakker Stephan J.L. , Beige Joachim , Beulens Joline W.J. , Birkenfeld Andreas L. , Currie Gemma , Delles Christian , Dimos Ingo , Francová Lidmila , Frimodt-Møller Marie , Girman Peter , Göke Rüdiger , Hansen Tine W. , Havrdova Tereza , Kooy Adriaan , Laverman Gozewijnw D. , Mischak Harald , Navis Gerjan , Nijpels Giel , Noutsou Marina , Ortiz Alberto , Parvanova Aneliya , Persson Frederik , Petrie John R. , Ruggenenti Piero L. , Rutters Femke , Rychlík Ivan , Siwy Justyna , Spasovski Goce , Speeckaert Marijn , Trillini Matias , Zürbig Petra , Leyen Heiko von der , Rossing Peter 
Published: November 2022

Abstract
Background
Diabetic retinopathy (DR) is a microvascular complication of diabetes highly associated to cardiovascular disease and diabetic kidney disease. However, these associations are not thoroughly investigated at an early type 2 diabetes disease stage. This study therefore evaluated the association between baseline DR status and development of cardiovascular events (CVEs), microalbuminuria, and kidney function decline and in persons with type 2 diabetes and normal urinary albumin excretion.
Methods
Post-hoc analysis of the PRIORITY study including 1758 persons with type 2 diabetes and normoalbuminuria followed for a median of 2.5 (IQR: 2.0–3.0) years. The study was originally designed to investigate a urinary proteomic risk classifier predictor of microalbuminuria development. DR at baseline was defined as non-proliferative and proliferative abnormalities, macular oedema, or history of laser treatment. Cox models were fitted to investigate the association of DR status with development of 1) a CVE composite defined as non-fatal myocardial infarction, stroke, coronary artery bypass graft, percutaneous coronary intervention, hospitalization for heart failure, or all-cause mortality; 2) persistent microalbuminuria (urinary albumin-creatinine ratio > 30mg/g); and 3) chronic kidney disease (CKD) G3 (eGFR < 60 mL/min/1.73m2). Models were adjusted for relevant risk factors.
Results
At baseline, 304 (17.3%) had DR. Compared to persons without DR, they were older (mean ± SD: 62.7 ± 7.7 vs 61.4 ± 8.3 years, p = 0.019), had longer diabetes duration (17.9 ± 8.4 vs. 10.6 ± 7.0 years, p < 0.001), and higher HbA1c (62 ± 13 vs. 56 ± 12 mmol/mol, p < 0.001). The adjusted hazard ratios of DR at baseline for development of CVE (n = 64), microalbuminuria (n = 197), and CKD (n = 166) were: 2.61 (95%CI: 1.44, 4.72), 1.50 (95%CI: 1.07, 2.11), and 0.87 (95%CI: 0.56, 1.34), and, compared to without DR. Baseline levels of the urinary proteomics classifier did not influence the results.
Conclusions
Presence of DR in normoalbuminuric type 2 diabetes was associated with an increased risk of developing CVE and microalbuminuria, but not with kidney function decline.
Metagenome Next-Generation Sequencing Technique in Diagnosis of Orthopedic Chronic Infectious Diseases (A Report of 12 Cases)
Authors: Li Wei , Zhang De-Bao , Xu Sheng-Ming , Bi Huang-Yi , Gu Gui-Shan 
Published: November 2022

Abstract
Objective: To analyze the role of the metagenome next-generation sequencing (mNGS) technique in identifying and treating the pathogen of orthopedic chronic infectious diseases.
Methods: The data of patients diagnosed with orthopedic chronic infectious diseases by a surgical team of the Department of Joint Surgery of the First Hospital of Jilin University from June to December 2021 were retrospectively analyzed. mNGS and pathogenic bacterial culture were performed on these patients, based on which, in combination with clinical manifestations and treatment effects, the role of mNGS in the diagnosis of pathogenic bacteria was determined. Results: All of the 12 patients had pain and swelling of the affected limb before hospitalization. Pathogenic bacteria were detected in eight patients by mNGS and in three patients by routine bacterial culture. 10 kinds of pathogenic bacteria (Staphylococcus aureus, Streptococcus dysgalactiae, Pseudomonas stutzeri, Chaetomium globosum, Acinetobacter baumannii, Prevotella copri, Staphylococcus epidermidis, Sporothrix schenckii, Pseudomonas aeruginosaand Torque teno virus) were detected by mNGS. The same bacterium was detected in two cases by both mNGS and bacterial culture. Conclusion: The mNGS technique provides an important diagnostic basis for pathogen detection in orthopedic chronic infectious diseases.
Investigation of the Usage Potential of Enzyme-linked Polymers in Different Morphological Structures for the Removal of Micropollutant From Leather Waste Water
Authors: ALTUNBAŞ Canan , ASLAN Ahmet , AÇIKEL Safiye Meriç , AKGÖL Sinan 
Published: November 2022

Abstract
Increasing numbers of chemical elements that are presenting very important problems, are threaten for the environmental health today. The big part of the pollution load in aquatic systems occurred from industrial wastes. The leather industry which emerges as one of the important industries, is considered in terms of its potential for pollution. Unlike the physical, chemical and advanced treatment methods used for the removal of micro- contaminants that are released during the transformation of from the raw skin to the finished leather, the use of immobilization polymers with enzymes known as catalysts is suitable for waste water removal in the leather industry, or in other sectors in order to reduce the environment pollution effect. In this case, the covalent immobilization method between Trametes versicolor laccase enzyme and epoxy group-containing p(HEMA-AGE) were optimized and the degradation conditions of Acid Black 210 dye were investigated. The results were compared with waste dye water which was released after dyeing in leather industry.
Delayed Neuregulin-1 Treatment Initiates a Late Neuroprotective Early Regenerative and Autophagic Spatial Profiles in Mice following Ischemic Stroke
Authors: Noll Jessica , Augello Catherine , Kurum Esra , Pan Liuliu , Pavenko Anna , Nam Andy , Ford Byron 
Published: November 2022

AbstractNeuregulin-1 (NRG-1) has been shown to be neuroprotective and anti-inflammatory in rodent models following focal brain ischemia. However, the spatial transcriptional mechanisms involved in the effects of NRG-1 have not been investigated. In this study, we examined the spatial cellular and neuroinflammatory mechanisms employed by NRG-1 following stroke utilizing Nanostring Digital Spatial Profiling (DSP) technology. C57bl/6 mice were subjected to photothrombotic middle cerebral artery occlusion (MCAO). Animals were treated with NRG-1 (5ug/kg/day NRG-1 β) or vehicle beginning 24 hours after surgery, and then sacrificed at 3 days post-ischemia (dpi). Using GeoMX DSP technology, we examined the relative expression of 73 proteins in selected regions of interest (ROI) within the ischemic core, peri-infarct tissues, and peri-infarct normal tissue (PiNT) in controls and NRG-1 treated mice. FJB staining showed that delayed NRG-1 treatment did not significantly alter overall neuronal death, but it had profound effects on the neuroregenerative outgrowth environment. The ipsilateral core ROI demonstrated the most altered proteomic profile with 37 differentially regulated proteins related to autophagy and mitophagy, immune cell phagocytosis, and synaptic activity. NRG-1 upregulated synaptophysin by 2.10-fold while marginally rescuing neuronal proteins NeuN and MAP2. NRG-1 treatment induced the upregulation of ULK1, LC3B, ATG5, PINK1, and Park7 within the core region, suggesting successful autophagic flux restoration. NRG-1 treatment also increased Mertk, CD9, CSF1R/CD115, MHCII and Myelin Basic Protein (MBP). Phospho-Tau (S199) was increased 57-fold following stroke and further increased to 90-fold after NRG-1 treatment. The peri-infarct region showed increased astrocyte proteins along with BAG3, CD204/MSR1, phospho-Tau (S199) and Ki67, a marker of cell proliferation. Together, our findings showed that mechanisms of neuroprotection by NRG-1 following stroke occur in distinct spatial domains of the injured brain following ischemia. The data suggest that NRG-1 provides protection against further neuronal apoptosis and priming of an anti-inflammatory, neuroregenerative niche in a spatial manner, which could lead to novel treatment strategies for stroke.