Fingerprints are widely used in forensic science for individualization purposes. However, not every fingermark found at a crime scene is suitable for comparison, for instance due to distortion of ridge detail, or when the reference fingerprint is not in the database. To still retrieve information from these fingermarks, several studies have been initiated into the chemical composition of fingermarks, which is believed to be influenced by several donor traits. Yet, it is still unclear what donor information can be retrieved from the composition of one's fingerprint, mainly because of limited sample sizes and the focus on analytical method development. It this paper, we analyzed the chemical composition of 1852 fingerprints, donated by 463 donors during the Dutch music festival Lowlands in 2016. In a targeted approach we compared amino acid and lipid profiles obtained from different types of fingerprints. We found a large inter-variability in both amino acid and lipid content, and significant differences in L-(iso)leucine, L-phenylalanine and palmitoleic acid levels between male and female donors. In an untargeted approach we used full-scan MS data to generate classification models to predict gender (77.9% accuracy) and smoking habit (90.4% accuracy) of fingerprint donors. In the latter, putatively, nicotine and cotinine are used as predictors.
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Background: Lung fibroblasts are implicated in abnormal tissue repair in chronic obstructive pulmonary disease (COPD). The exact mechanisms are unknown and comprehensive analysis comparing COPD- and control fibroblasts is lacking. Aim: To gain insight in the role of lung fibroblasts in COPD pathology using unbiased proteomic and transcriptomic analysis. Methods: Protein and RNA was isolated from cultured parenchymal lung fibroblasts of 17 stage IV COPD patients and 16 non-COPD controls. Proteins were analyzed using LC-MS/MS and RNA through RNA sequencing. Differential protein and gene expression in COPD was assessed via linear regression, followed by pathway enrichment, correlation analysis and immunohistological staining in lung tissue. Proteomic and transcriptomic data was compared to investigate the overlap and correlation between both levels of data. Results: We identified 40 differentially expressed (DE) proteins and zero DE genes between COPD and control fibroblasts. The most significant DE proteins were HNRNPA2B1 and FHL1. Thirteen of the 40 proteins were previously associated with COPD, including FHL1 and GSTP1. Six of the 40 proteins were related to telomere maintenance pathways, and were positively correlated with the senescence marker LMNB1. No significant correlation between gene and protein expression was observed for the 40 proteins. Conclusions: The 40 DE proteins in COPD fibroblasts include previously described COPD proteins (FHL1, GSTP1) and new COPD research targets like HNRNPA2B1. Lack of overlap and correlation between gene and protein data supports the use of unbiased proteomics analysis and indicates that different types of information are generated with both methods.
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Gamma-band neuronal synchronization during sentence-level language comprehension has previously been linked with semantic unification. Here, we attempt to further narrow down the functional significance of gamma during language comprehension, by distinguishing between two aspects of semantic unification: successful integration of word meaning into the sentence context, and prediction of upcoming words. We computed eventrelated potentials (ERPs) and frequency band-specific electroencephalographic (EEG) power changes while participants read sentences that contained a critical word (CW) that was (1) both semantically congruent and predictable (high cloze, HC), (2) semantically congruent but unpredictable (low cloze, LC), or (3) semantically incongruent (and therefore also unpredictable; semantic violation, SV). The ERP analysis showed the expected parametric N400 modulation (HC < LC < SV). The time-frequency analysis showed qualitatively different results. In the gamma-frequency range, we observed a power increase in response to the CW in the HC condition, but not in the LC and the SV conditions. Additionally, in the theta frequency range we observed a power increase in the SV condition only. Our data provide evidence that gamma power increases are related to the predictability of an upcoming word based on the preceding sentence context, rather than to the integration of the incoming word's semantics into the preceding context. Further, our theta band data are compatible with the notion that theta band synchronization in sentence comprehension might be related to the detection of an error in the language input.
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To accelerate differentiation between Staphylococcus aureus and Coagulase Negative Staphylococci (CNS), this study aimed to compare six different DNA extraction methods from 2 commonly used blood culture materials, i.e. BACTEC and Bact/ALERT. Furthermore, we analyzed the effect of reduced blood culture times for detection of Staphylococci directly from blood culture material. A real-time PCR duplex assay was used to compare 6 different DNA isolation protocols on two different blood culture systems. Negative blood culture material was spiked with MRSA. Bacterial DNA was isolated with: automated extractor EasyMAG (3 protocols), automated extractor MagNA Pure LC (LC Microbiology Kit MGrade), a manual kit MolYsis Plus, and a combination between MolYsis Plus and the EasyMAG. The most optimal isolation method was used to evaluate reduced bacterial culture times. Bacterial DNA isolation with the MolYsis Plus kit in combination with the specific B protocol on the EasyMAG resulted in the most sensitive detection of S.aureus, with a detection limit of 10 CFU/ml, in Bact/ALERT material, whereas using BACTEC resulted in a detection limit of 100 CFU/ml. An initial S.aureus load of 1 CFU/ml blood can be detected after 5 hours of culture in Bact/ALERT3D by combining the sensitive isolation method and the tuf LightCycler assay.
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Fingerprints found at a crime scene can be key in criminal investigations. A method to accurately determine the age of the fingerprint, potentially crucial to linking the fingerprint to the crime, is not available at the moment. In this paper, we show that the use of the enantiomeric ratio of d/l-serine in fingerprints could pose as interesting target for age estimation techniques. We developed a UPLC-MS/MS method to determine the enantiomer ratios of histidine, serine, threonine, alanine, proline, methionine and valine from fingerprint residue. We found a significant change only in the relative ratio of d-serine with increasing fingerprint age after analysis of fingerprints up to 6 months old.
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Purpose: The aim of this study was to develop practical recommendations for physiotherapy for survivors of critical illness after hospital discharge. Methods: A modified Delphi consensus study was performed. A scoping literature review formed the basis for three Delphi rounds. The first round was used to gather input from the panel to finalize the survey for the next two rounds in which the panel was asked to rank each of the statements on an ordinal scale with the objective to reach consensus. Consensus was defined as a SIQR of ≤ 0.5. Ten Dutch panelists participated in this study: three primary care physiotherapists, four intensive care physiotherapists, one occupational therapist, one ICU-nurse and one former ICU-patient. All involved professionals have treated survivors of critical illness. Our study was performed in parallel with an international Delphi study with hospital-based health-care professionals and researchers. Results: After three Delphi rounds, consensus was reached on 95.5% of the statements. This resulted in practical recommendations for physiotherapy for critical illness survivors in the primary care setting. The panel agreed that the handover should include information on 14 items. Physiotherapy treatment goals should be directed toward improvement of aerobic capacity, physical functioning, activities in daily living, muscle strength, respiratory and pulmonary function, fatigue, pain, and health-related quality of life. Physiotherapy measurements and interventions to improve these outcomes are suggested. Conclusion: This study adds to the knowledge on post-ICU physiotherapy with practical recommendations supporting clinical decision-making in the treatment of survivors of critical illness after hospital discharge.
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Geriatrische revalidatie: Lectorale rede Marije Holstege Inspiratie uit de praktijk Mijn interesse voor de geriatrische revalidatie is gewekt toen ik als fysiotherapeut aan het werk ging in verpleeghuis De Noordse Balk in Wormerveer. Daar zag ik de grote uitdagingen die gepaard gaan met de groep kwetsbare ouderen die na een meestal acute opname in het ziekenhuis vanwege een beroerte, gebroken heup of achteruitgang van functioneren, gaan revalideren om weer terug naar huis te kunnen. Dit doen zij onder begeleiding van een team van professionals met verschillende expertises. De ervaringen die ik heb opgedaan en de voorbeelden uit de praktijk inspireren mij nog steeds in mijn huidige werk als onderzoeker. Bijzonder lectoraat Geriatrische revalidatie Het bouwen aan het praktijkonderzoek in de geriatrische revalidatie en de al bestaande samenwerkingen tussen Omring en Hogeschool Inholland maakten dat er ook een gezamenlijke ambitie was om een bijzonder lectoraat in te stellen voor geriatrische revalidatie. De leeropdracht richt zich op het optimaliseren van de geriatrische revalidatie door het slimmer (met innovatieve interventie én door inzet digital health) en het samen door ontwikkelen naar toekomstbestendige zorg. Dit om de best mogelijk passende zorg te kunnen geven samen met de professionals, revalidanten en hun naasten. Ik ben er trots op dat Omring deze leerstoel heeft ingesteld in samenwerking met Hogeschool Inholland en het daarmee mogelijk maakt om de onderzoekslijnen binnen deze leerstoel verder te verstevigen. Dit doe ik door een bijdrage te leveren aan de verbinding tussen onderzoek, praktijk en onderwijs. Ik krijg vaak de vraag wat een lector eigenlijk doet. Een lector doet praktijkgericht onderzoek naar vraagstukken uit de praktijk om te achterhalen wat oorzaken zijn en mogelijke oplossingen. Dit om bij te dragen aan het verder optimaliseren van geriatrische revalidatie, zelfredzaamheid en eigen regie van revalidanten en naasten, professionalisering van studenten, docenten en professionals van Hogeschool Inholland en Omring. En daarbij ook landelijk deze kennis te delen. Door deze samenwerking kunnen we het onderwijs en de studenten structureel verbinden aan relevante praktijkgerichte vraagstukken. Dit doe ik zeker niet alleen, maar met een heel team van onderzoekers binnen het lectoraat; we noemen dit de kenniskring. De onderzoekers in de kenniskring doen naast het werk in de praktijk onderzoek. Ze doen dit samen met studenten, die onderzoek- en innovatieopdrachten uitwerken, samen met gedreven professionals uit de praktijk én in samenwerking met docenten, collega-lectoren en externe onderzoekspartners. Vooral het samen doen maakt dit werk ontzettend leuk. Aan het eind van mijn rede kom ik terug op hoe die samenwerking eruitziet.
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Traces of condom lubricants in fingerprints can be valuable information in cases of sexual assault. Ideally, not only confirmation of the presence of the condom but also determination of the type of condom brand used can be retrieved. Previous studies have shown to be able to retrieve information about the condom brand and type from fingerprints containing lubricants using various analytical techniques. However, in practice fingerprints often appear latent and need to be detected first, which is often achieved by cyanoacrylate fuming. In this study, we developed a desorption electrospray ionization mass spectrometry (DESI-MS) method which, combined with principal component analysis and linear discriminant analysis (PCA-LDA), allows for high accuracy classification of condom brands and types from fingerprints containing condom lubricant traces. The developed method is compatible with cyanoacrylate (CA) fuming. We collected and analyzed a representative dataset for the Netherlands comprising 32 different condoms. Distinctive lubricant components such as polyethylene glycol (PEG), polydimethylsiloxane (PDMS), octoxynol-9 and nonoxynol-9 were readily detected using the DESI-MS method. Based on the analysis of lubricant spots, a 99.0% classification accuracy was achieved. When analyzing lubricant containing fingerprints, an overall accuracy of 90.9% was obtained. Full chemical images could be generated from fingerprints, showing the distribution of lubricant components such as PEG and PDMS throughout the fingerprint, while still allowing for classification. The developed method shows potential for the development of DESI-MS based analyses of CA treated exogenous compounds from fingerprints for use in forensic science.
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Background: Ventilation management may differ between COVID–19 ARDS (COVID–ARDS) patients and patients with pre–COVID ARDS (CLASSIC–ARDS); it is uncertain whether associations of ventilation management with outcomes for CLASSIC–ARDS also exist in COVID–ARDS. Methods: Individual patient data analysis of COVID–ARDS and CLASSIC–ARDS patients in six observational studies of ventilation, four in the COVID–19 pandemic and two pre–pandemic. Descriptive statistics were used to compare epidemiology and ventilation characteristics. The primary endpoint were key ventilation parameters; other outcomes included mortality and ventilator–free days and alive (VFD–60) at day 60. Results: This analysis included 6702 COVID–ARDS patients and 1415 CLASSIC–ARDS patients. COVID–ARDS patients received lower median VT (6.6 [6.0 to 7.4] vs 7.3 [6.4 to 8.5] ml/kg PBW; p < 0.001) and higher median PEEP (12.0 [10.0 to 14.0] vs 8.0 [6.0 to 10.0] cm H2O; p < 0.001), at lower median ΔP (13.0 [10.0 to 15.0] vs 16.0 [IQR 12.0 to 20.0] cm H2O; p < 0.001) and higher median Crs (33.5 [26.6 to 42.1] vs 28.1 [21.6 to 38.4] mL/cm H2O; p < 0.001). Following multivariable adjustment, higher ΔP had an independent association with higher 60–day mortality and less VFD–60 in both groups. Higher PEEP had an association with less VFD–60, but only in COVID–ARDS patients. Conclusions: Our findings show important differences in key ventilation parameters and associations thereof with outcomes between COVID–ARDS and CLASSIC–ARDS. Trial registration: Clinicaltrials.gov (identifier NCT05650957), December 14, 2022.
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