Dissociating Society : Knowledge, affect and performativity in immigrant integration monitoring

The dissertation Dissociating Society: Knowledge, Affect and Performativity in immigrant integration monitoring analyses a work of dissociation by investigating the performative practices and effects of immigrant integration monitoring. It shows how statistical knowledge production of those classified in one way or another as ‘immigrants’ and their so-called integration enacts a racialized imaginary of society. Through two focal points, narrating and affect, the dissertation demonstrates what is produced ‘between the walls’ of social scientific knowledge production that is intricately tied to population management by the state. It does so through a multi-sited ethnography of monitoring practices at various institutions and academic networks in four West European countries. The chapters of the dissertation show and claim the making of difference-as-racialized distance in images of immigrant integration, the narration of perpetual arrival of ‘immigrant’ characters compared to those already in society, an imagination of ‘there’ on the basis of constantly questioning ‘where are you from?’, and the active presence of a societal gaze through which seeing is distr

Single-Molecule Imaging Uncovers Rules Governing Nonsense-Mediated mRNA Decay

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Antiviral responses are shaped by heterogeneity in viral replication dynamics

Antiviral signalling, which can be activated in host cells upon virus infection, restricts virus replication and communicates infection status to neighbouring cells. The antiviral response is heterogeneous, both quantitatively (efficiency of response activation) and qualitatively (transcribed antiviral gene set). To investigate the basis of this heterogeneity, we combined Virus Infection Real-time IMaging (VIRIM), a live-cell single-molecule imaging method, with real-time readouts of the dsRNA sensing pathway to analyse the response of human cells to encephalomyocarditis virus (EMCV) infection. We find that cell-to-cell heterogeneity in viral replication rates early in infection affect the efficiency of antiviral response activation, with lower replication rates leading to more antiviral response activation. Furthermore, we show that qualitatively distinct antiviral responses can be linked to the strength of the antiviral signalling pathway. Our analyses identify variation in early viral replication rates as an important parameter contributing to heterogeneity in antiviral response activation

Antiviral responses are shaped by heterogeneity in viral replication dynamics

Antiviral signalling, which can be activated in host cells upon virus infection, restricts virus replication and communicates infection status to neighbouring cells. The antiviral response is heterogeneous, both quantitatively (efficiency of response activation) and qualitatively (transcribed antiviral gene set). To investigate the basis of this heterogeneity, we combined Virus Infection Real-time IMaging (VIRIM), a live-cell single-molecule imaging method, with real-time readouts of the dsRNA sensing pathway to analyse the response of human cells to encephalomyocarditis virus (EMCV) infection. We find that cell-to-cell heterogeneity in viral replication rates early in infection affect the efficiency of antiviral response activation, with lower replication rates leading to more antiviral response activation. Furthermore, we show that qualitatively distinct antiviral responses can be linked to the strength of the antiviral signalling pathway. Our analyses identify variation in early viral replication rates as an important parameter contributing to heterogeneity in antiviral response activation

Circulating biomarkers of cardiovascular disease are related to aneurysm volume in abdominal aortic aneurysm

Background: Surveillance programs in abdominal aortic aneurysms (AAA) are mainly based on imaging and leave room for improvement to timely identify patients at risk for AAA growth. Many biomarkers are dysregulated in patients with AAA, which fuels interest in biomarkers as indicators of disease progression. We examined associations of 92 cardiovascular disease (CVD)-related circulating biomarkers with AAA and sac volume. Methods: In a cross-sectional analysis, we separately investigated (1) 110 watchful waiting (WW) patients (undergoing periodic surveillance imaging without planned intervention) and (2) 203 patients after endovascular aneurysm repair (EVAR). The Cardiovascular Panel III (Olink Proteomics AB, Sweden) was used to measure 92 CVD-related circulating biomarkers. We used cluster analyses to investigate protein-based subphenotypes, and linear regression to examine associations of biomarkers with AAA and sac volume on CT scans. Results: Cluster analyses revealed two biomarker-based subgroups in both WW and EVAR patients, with higher levels of 76 and 74 proteins, respectively, in one subgroup versus the other. In WW patients, uPA showed a borderline significant association with AAA volume. Adjusting for clinical characteristics, there was a difference of −0.092 (−0.148, −0.036) loge mL in AAA volume per SD uPA. In EVAR patients, after multivariable adjustment, four biomarkers remained significantly associated with sac volume. The mean effects on sac volume per SD difference were: LDLR: −0.128 (−0.212, −0.044), TFPI: 0.139 (0.049, 0.229), TIMP4: 0.110 (0.023, 0.197), IGFBP-2: 0.103 (0.012, 0.194). Conclusion: LDLR, TFPI, TIMP4, and IGFBP-2 were independently associated with sac volume after EVAR. Subgroups of patients with high levels of the majority of CVD-related biomarkers emphasize the intertwined relationship between AAA and CVD. ClinicalTrials.gov Identifier: NCT03703947.</p

Targeted proteomics and metabolomics for biomarker discovery in abdominal aortic aneurysm and post-EVAR sac volume

BACKGROUND AND AIMS: Abdominal aortic aneurysm (AAA) patients undergo uniform surveillance programs both leading up to, and following surgery. Circulating biomarkers could play a pivotal role in individualizing surveillance. We applied a multi-omics approach to identify relevant biomarkers and gain pathophysiological insights. MATERIALS AND METHODS: In this cross-sectional study, 108 AAA patients and 200 post-endovascular aneurysm repair (post-EVAR) patients were separately investigated. We performed partial least squares regression and ingenuity pathway analysis on circulating concentrations of 96 proteins (92 Olink Cardiovascular-III panel, 4 ELISA-assays) and 199 metabolites (measured by LC-TQMS), and their associations with CT-based AAA/sac volume. RESULTS: The median (25th-75th percentile) maximal diameter was 50.0 mm (46.0, 53.0) in the AAA group, and 55.4 mm (45.0, 64.2) in the post-EVAR group. Correcting for clinical characteristics in AAA patients, the aneurysm volume Z-score differed 0.068 (95 %CI: (0.042, 0.093)), 0.066 (0.047, 0.085) and -0.051 (-0.064, -0.038) per Z-score valine, leucine and uPA, respectively. After correcting for clinical characteristics and orthogonalization in the post-EVAR group, the sac volume Z-score differed 0.049 (0.034, 0.063) per Z-score TIMP-4, -0.050 (-0.064, -0.037) per Z-score LDL-receptor, -0.051 (-0.062, -0.040) per Z-score 1-OG/2-OG and -0.056 (-0.066, -0.045) per Z-score 1-LG/2-LG. CONCLUSIONS: The branched-chain amino acids and uPA were related to AAA volume. For post-EVAR patients, LDL-receptor, monoacylglycerols and TIMP-4 are potential biomarkers for sac volume. Additionally, distinct markers for sac change were identified.</p

Targeted proteomics and metabolomics for biomarker discovery in abdominal aortic aneurysm and post-EVAR sac volume

BACKGROUND AND AIMS: Abdominal aortic aneurysm (AAA) patients undergo uniform surveillance programs both leading up to, and following surgery. Circulating biomarkers could play a pivotal role in individualizing surveillance. We applied a multi-omics approach to identify relevant biomarkers and gain pathophysiological insights. MATERIALS AND METHODS: In this cross-sectional study, 108 AAA patients and 200 post-endovascular aneurysm repair (post-EVAR) patients were separately investigated. We performed partial least squares regression and ingenuity pathway analysis on circulating concentrations of 96 proteins (92 Olink Cardiovascular-III panel, 4 ELISA-assays) and 199 metabolites (measured by LC-TQMS), and their associations with CT-based AAA/sac volume. RESULTS: The median (25th-75th percentile) maximal diameter was 50.0 mm (46.0, 53.0) in the AAA group, and 55.4 mm (45.0, 64.2) in the post-EVAR group. Correcting for clinical characteristics in AAA patients, the aneurysm volume Z-score differed 0.068 (95 %CI: (0.042, 0.093)), 0.066 (0.047, 0.085) and -0.051 (-0.064, -0.038) per Z-score valine, leucine and uPA, respectively. After correcting for clinical characteristics and orthogonalization in the post-EVAR group, the sac volume Z-score differed 0.049 (0.034, 0.063) per Z-score TIMP-4, -0.050 (-0.064, -0.037) per Z-score LDL-receptor, -0.051 (-0.062, -0.040) per Z-score 1-OG/2-OG and -0.056 (-0.066, -0.045) per Z-score 1-LG/2-LG. CONCLUSIONS: The branched-chain amino acids and uPA were related to AAA volume. For post-EVAR patients, LDL-receptor, monoacylglycerols and TIMP-4 are potential biomarkers for sac volume. Additionally, distinct markers for sac change were identified.</p

Targeted plasma multi-omics propose glutathione, glycine and serine as biomarkers for abdominal aortic aneurysm growth on serial CT scanning

Background and aims: Abdominal aortic aneurysm (AAA) patients undergo uniform imaging surveillance until reaching the surgical threshold. In spite of the ongoing exploration of AAA pathophysiology, biomarkers for personalized surveillance are lacking. This study aims to identify potential circulating biomarkers for AAA growth on serial CT scans. Methods: Patients with an AAA (maximal diameter ≥40 mm) were included in this multicentre, prospective cohort study. Participants underwent baseline blood sampling and yearly CT-imaging to determine AAA diameter and volume. Proteins and metabolites were measured using proximity extension assay (Olink Cardiovascular III) or separate ELISA panels, and mass-spectrometry (LC-TQMS), respectively. Linear mixed-effects, orthogonal partial least squares, and Cox regression were used to explore biomarker associations with AAA volume growth rate and the risk of surpassing the surgical threshold, as formulated by current guidelines. Results: 271 biomarkers (95 proteins, 176 metabolites) were measured in 109 (90.8 % male) patients with mean age 72. Median baseline maximal AAA diameter was 47.8 mm, volume 109 mL. Mean annual AAA volume growth rate was 11.5 %, 95 % confidence interval (CI) (10.4, 12.7). Median follow-up time was 23.2 months, 49 patients reached the surgical threshold. Patients with one standard deviation (SD) higher glutathione and glycine levels at baseline had an AAA volume growth rate that respectively was 1.97 %, 95%CI (0.97, 2.97) and 1.74 %, 95%CI (0.78, 2.71) larger, relative to the actual aneurysm size. Serine was associated with the risk of reaching the surgical threshold, independent of age and baseline AAA size (cause-specific hazard ratio per SD difference 1.78, 95%CI (1.30, 2.44)). Conclusions: Among multiple intertwined biomarkers related to AAA pathophysiology and progression, glutathione, glycine and serine were most promising.</p

Radiographic rib fracture nonunion and association with fracture classification in adults with multiple rib fractures without flail segment:A multicenter prospective cohort study

Background: Rib fracture nonunion is a probable cause of chronic pain following chest trauma, although its prevalence remains unknown. The aims of this study were to determine rib fracture nonunion prevalence following nonoperative management and to determine if presence of nonunion was associated with the number of rib fractures, or the rib fracture classification of anatomical location, type, and displacement. Methods: This multicenter prospective cohort study included trauma patients with three or more fractured ribs but without a flail segment, who participated in the nonoperative management group of the FixCon trial between January 2019 and June 2022. The number and classification of rib fractures were assessed on trauma chest CT. Chest CTs conducted six months post-trauma were evaluated for the presence of nonunion. Radiological characteristics of nonunions were compared with normally healed rib fractures using the Mann-Whitney U, χ2 test, and Fisher's exact test as appropriate. A generalized linear model adjusted for multiple observations per patient when assessing the associations between nonunion and fracture characteristics. Results: A total of 68 patients were included with 561 post-traumatic fractures in 429 ribs. Chest CT after six months revealed nonunions in 67 (12 %) rib fractures in 29 (43 %) patients with a median of 2 (P25-P75 1–3) nonunions per patient. Nonunion was most commonly observed in ribs seven to 10 (20–23 %, p &lt; 0.001, adjusted p = 0.006). Nonunion occurred in 14 (5 %) undisplaced, 22 (19 %) offset, and 20 (23 %) displaced rib fractures (p &lt; 0.001). No statistically significant association between rib fracture type and nonunion was found. Conclusions: Forty-three percent of patients with multiple rib fractures had radiographic nonunion six months after trauma. Fractures in ribs seven to 10 and dislocated fractures had an increased risk of rib fracture nonunion.</p

Radiographic rib fracture nonunion and association with fracture classification in adults with multiple rib fractures without flail segment:A multicenter prospective cohort study

Background: Rib fracture nonunion is a probable cause of chronic pain following chest trauma, although its prevalence remains unknown. The aims of this study were to determine rib fracture nonunion prevalence following nonoperative management and to determine if presence of nonunion was associated with the number of rib fractures, or the rib fracture classification of anatomical location, type, and displacement. Methods: This multicenter prospective cohort study included trauma patients with three or more fractured ribs but without a flail segment, who participated in the nonoperative management group of the FixCon trial between January 2019 and June 2022. The number and classification of rib fractures were assessed on trauma chest CT. Chest CTs conducted six months post-trauma were evaluated for the presence of nonunion. Radiological characteristics of nonunions were compared with normally healed rib fractures using the Mann-Whitney U, χ2 test, and Fisher's exact test as appropriate. A generalized linear model adjusted for multiple observations per patient when assessing the associations between nonunion and fracture characteristics. Results: A total of 68 patients were included with 561 post-traumatic fractures in 429 ribs. Chest CT after six months revealed nonunions in 67 (12 %) rib fractures in 29 (43 %) patients with a median of 2 (P25-P75 1–3) nonunions per patient. Nonunion was most commonly observed in ribs seven to 10 (20–23 %, p &lt; 0.001, adjusted p = 0.006). Nonunion occurred in 14 (5 %) undisplaced, 22 (19 %) offset, and 20 (23 %) displaced rib fractures (p &lt; 0.001). No statistically significant association between rib fracture type and nonunion was found. Conclusions: Forty-three percent of patients with multiple rib fractures had radiographic nonunion six months after trauma. Fractures in ribs seven to 10 and dislocated fractures had an increased risk of rib fracture nonunion.</p