| 1. |
- Cossarizza, A., et al.
(author)
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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
- 2019
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In: European Journal of Immunology. - : Wiley. - 0014-2980 .- 1521-4141. ; 49:10, s. 1457-1973
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Journal article (peer-reviewed)abstract
- These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion.
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| 2. |
- Bethlehem, RAI, et al.
(author)
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Brain charts for the human lifespan
- 2022
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In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 604:7906, s. 525-
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Journal article (peer-reviewed)abstract
- Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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| 3. |
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| 4. |
- Abbott, Benjamin W., et al.
(author)
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Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire : an expert assessment
- 2016
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In: Environmental Research Letters. - : IOP Publishing. - 1748-9326. ; 11:3
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Journal article (peer-reviewed)abstract
- As the permafrost region warms, its large organic carbon pool will be increasingly vulnerable to decomposition, combustion, and hydrologic export. Models predict that some portion of this release will be offset by increased production of Arctic and boreal biomass; however, the lack of robust estimates of net carbon balance increases the risk of further overshooting international emissions targets. Precise empirical or model-based assessments of the critical factors driving carbon balance are unlikely in the near future, so to address this gap, we present estimates from 98 permafrost-region experts of the response of biomass, wildfire, and hydrologic carbon flux to climate change. Results suggest that contrary to model projections, total permafrost-region biomass could decrease due to water stress and disturbance, factors that are not adequately incorporated in current models. Assessments indicate that end-of-the-century organic carbon release from Arctic rivers and collapsing coastlines could increase by 75% while carbon loss via burning could increase four-fold. Experts identified water balance, shifts in vegetation community, and permafrost degradation as the key sources of uncertainty in predicting future system response. In combination with previous findings, results suggest the permafrost region will become a carbon source to the atmosphere by 2100 regardless of warming scenario but that 65%-85% of permafrost carbon release can still be avoided if human emissions are actively reduced.
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| 5. |
- Arnold, S. V., et al.
(author)
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Recognition of Incident Diabetes Mellitus During an Acute Myocardial Infarction
- 2015
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In: Circulation-Cardiovascular Quality and Outcomes. - : Ovid Technologies (Wolters Kluwer Health). - 1941-7705 .- 1941-7713. ; 8:3, s. 260-267
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Journal article (peer-reviewed)abstract
- Background-Diabetes mellitus (DM) is common in patients hospitalized with an acute myocardial infarction (AMI), representing in some cases the first opportunity to recognize and treat DM. We report the incidence of new DM and its recognition among patients with AMI. Methods and Results-Patients in a 24-site US AMI registry (2005-08) had glycosylated hemoglobin assessed at a core laboratory, with results blinded to clinicians and local clinical measurements left to the discretion of the treating providers. Among 2854 AMI patients without known DM on admission, 287 patients (10%) met criteria for previously unknown DM, defined by a core laboratory glycosylated hemoglobin of >= 6.5%. Among these, 186 (65%) were unrecognized by treating clinicians, receiving neither DM education, glucose-lowering medications at discharge, nor documentation of DM in the chart (median glycosylated hemoglobin of unrecognized patients, 6.7%; range, 6.5-12.3%). Six months after discharge, only 5% of those not recognized as having DM during hospitalization had been initiated on glucose-lowering medications versus 66% of those recognized (P< 0.001). Conclusions-Underlying DM that has not been previously diagnosed is common among AMI patients, affecting 1 in 10 patients, yet is recognized by the care team only one third of the time. Given its frequency and therapeutic implications, including but extending beyond the initiation of glucose-lowering treatment, consideration should be given to screening all AMI patients for DM during hospitalization. Inexpensive, ubiquitous, and endorsed as an acceptable screen for DM, glycosylated hemoglobin testing should be considered for this purpose.
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| 6. |
- Arnold, S. V., et al.
(author)
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The reliability of in-hospital diagnoses of diabetes mellitus in the setting of an acute myocardial infarction
- 2014
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In: BMJ Open Diabetes Research and Care. - : BMJ. - 2052-4897. ; 2:1
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Journal article (peer-reviewed)abstract
- OBJECTIVE: Incident diabetes mellitus (DM) is important to recognize in patients with acute myocardial infarction (AMI). To develop an efficient screening strategy, we explored the use of random plasma glucose (RPG) at admission and fasting plasma glucose (FPG) to select patients with AMI for glycosylated hemoglobin (HbA1c) testing. DESIGN SETTING ANDPARTICIPANTS: Prospective registry of 1574 patients with AMI not taking glucose-lowering medication from 24 US hospitals. All patients had HbA1c measured at a core laboratory and admission RPG and >/=2 FPGs recorded during hospitalization. We examined potential combinations of RPG and FPG and compared these with HbA1c>/=6.5%-considered the gold standard for DM diagnosis in these analyses. RESULTS: An RPG>140 mg/dL or FPG>/=126 mg/dL had high sensitivity for DM diagnosis. Combining these into a screening protocol (if admission RPG>140, check HbA1c; or if FPG>/=126 on a subsequent day, check HbA1c) led to HbA1c testing in 50% of patients and identified 86% with incident DM (number needed to screen (NNS)=3.3 to identify 1 case of DM; vs NNS=5.6 with universal HbA1c screening). Alternatively, using an RPG>180 led to HbA1c testing in 40% of patients with AMI and identified 82% of DM (NNS=2.7). CONCLUSIONS: We have established two potential selective screening methods for DM in the setting of AMI that could identify the vast majority of incident DM by targeted screening of 40-50% of patients with AMI with HbA1c testing. Using these methods may efficiently identify patients with AMI with DM so that appropriate education and treatment can be promptly initiated.
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| 7. |
- Grodzinsky, A., et al.
(author)
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Bleeding risk following percutaneous coronary intervention in patients with diabetes prescribed dual anti-platelet therapy
- 2016
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In: American Heart Journal. - : Elsevier BV. - 0002-8703. ; 182, s. 111-118
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Journal article (peer-reviewed)abstract
- Background Patients with diabetes mellitus (DM) experience higher rates of in-stent restenosis and greater benefit from drug-eluting stents implant at the time of percutaneous coronary intervention (PCI), necessitating prolonged dual anti-platelet therapy (DAPT). While DAPT reduces risk of ischemic events post-PCI, it also increases risk of bleeding. Whether bleeding rates differ among patients with and without DM, receiving long-term DAPT is unknown. Methods Among patients who underwent PCI and were maintained on DAPT for 1 year in a multicenter US registry, we assessed patient-reported bleeding over one year following PCI in patients with and without DM. Multivariable, hierarchical Poisson regression was used to evaluate the association of DM with bleeding during follow-up. Results Among 2334 PCI patients from 10 US hospitals (mean age 64, 54% ACS), 32.6% had DM. In unadjusted analyses, patients with DM had fewer bleeding events over the year following PCI(DMvs no DM: BARC = 1: 78.0% vs 87.7%, P <.001; BARC >= 2: 4.3% vs 5.3%, P = .33). Following adjustment, patients with (vs without DM) had a lower risk of BARC = 1 bleeding during follow-up (relative risk [RR] 0.89, 95% CI 0.83-0.96). This decreased bleeding risk persisted after removing bruising from the endpoint definition. Conclusions In a real-world PCI registry, patients with DM experienced lower risk of bleeding risk on DAPT. As patients with DM also derive greater ischemic benefit from drug-eluting stents, which requires prolonged DAPT, our findings suggest that the balance between benefit and risk of this therapeutic approach may be even more favorable in patients with DM than previously considered.
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| 8. |
- Kobel, M., et al.
(author)
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p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study
- 2023
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In: Journal of Pathology Clinical Research. - : Wiley. - 2056-4538. ; 9:3, s. 208-222
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Journal article (peer-reviewed)abstract
- Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.
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| 9. |
- McGuire, D. K., et al.
(author)
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Association of diabetes mellitus and glycemic control strategies with clinical outcomes after acute coronary syndromes
- 2004
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In: Am Heart J. - 1097-6744. ; 147:2, s. 246-52
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Journal article (peer-reviewed)abstract
- BACKGROUND: Diabetes is associated with an increased risk for coronary artery disease (CAD) and its complications. The relative effect of glucose-lowering strategies of "insulin provision" versus "insulin sensitization" among patients with CAD remains unclear. METHODS: To evaluate the associations of diabetes and hypoglycemic strategies with clinical outcomes after acute coronary syndromes, we analyzed data from 15,800 patients enrolled in the SYMPHONY and 2nd SYMPHONY trials. RESULTS: Compared with nondiabetic patients, patients with diabetes (n = 3101; 19.6%) were older, more often female, more often had prior CAD, hypertension, and hyperlipidemia, and less often were current smokers. The diabetic cohort had higher 90-day unadjusted risk of the composite of death/myocardial infarction (MI)/severe recurrent ischemia (SRI), death/MI, and death alone, as well as a near doubling of 1-year mortality rates. At 1 year, diabetes was associated with significantly higher adjusted risks of death/MI/SRI (OR, 1.3 [95% confidence interval, 1.1, 1.5]) and death/MI (OR, 1.2 [1.0, 1.4]). Hypoglycemic therapy including only insulin and/or sulfonylurea (insulin-providing; n = 1473) was associated with higher 90-day death/MI/SRI compared with therapy that included only biguanide and/or thiazolidinedione therapy (insulin-sensitizing; n = 100) (12.0% vs 5.0%); (adjusted OR, 2.1 [1.2, 3.7]). CONCLUSIONS: Diabetic patients with acute coronary syndromes had worse clinical outcomes. Although the findings regarding the influence of glycemic-control strategies should be interpreted with caution because of the exploratory nature of the analyses and the relatively small sample size of the insulin-sensitizing group, the improved risk-adjusted outcomes associated with insulin-sensitizing therapy underscore the need to further evaluate treatment strategies for patients with diabetes and CAD.
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| 10. |
- Rawshani, Araz, 1986, et al.
(author)
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Cardiac arrhythmias and conduction abnormalities in patients with type 2 diabetes
- 2023
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In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 13:1
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Journal article (peer-reviewed)abstract
- The association between type 2 diabetes (T2D) and the development of cardiac arrhythmias and conduction disturbances has not been extensively studied. Arrhythmia was defined as atrial fibrillation and flutter (AF/AFl), ventricular tachycardia (VT) and ventricular fibrillation (VF), and conduction abnormality as sinus node disease (SND), atrioventricular (AV) block or pacemaker implantation, and intraventricular conduction blocks (IVCB). Incidence rates and Cox regression were used to compare outcomes, and to assess optimal levels for cardiometabolic risk factors and risk associated with multifactorial risk factor control (i.e., HbA1c, LDL-C, systolic blood pressure (SBP), BMI and eGFR), between patients with versus without T2D. The analyses included data from 617,000 patients with T2D and 2,303,391 matched controls. Patients with diabetes and the general population demonstrated a gradual increase in rates for cardiac conduction abnormalities and virtually all age-groups for AF/AFI showed increased incidence during follow-up. For patients with versus without T2D, risks for cardiac arrhythmias were higher, including for AF/AFl (HR 1.17, 95% CI 1.16-1.18), the composite of SND, AV-block or pacemaker implantation (HR 1.40, 95% CI 1.37-1.43), IVCB (HR 1.23, 95% CI 1.18-1.28) and VT/VF (HR 1.08, 95% CI 1.04-1.13). For patients with T2D who had selected cardiometabolic risk factors within target ranges, compared with controls, risk of arrythmia and conduction abnormalities for T2D vs not were: AF/AFl (HR 1.09, 95% CI 1.05-1.14), the composite of SND, AV-block or pacemaker implantation (HR 1.06, 95% CI 0.94-1.18), IVCB (HR 0.80, 95% CI 0.60-0.98), and for VT/VF (HR 0.97, 95% CI 0.80-1.17). Cox models showed a linear risk increase for SBP and BMI, while eGFR showed a U-shaped association. Individuals with T2D had a higher risk of arrhythmias and conduction abnormalities than controls, but excess risk associated with T2D was virtually not evident among patients with T2D with all risk factors within target range. BMI, SBP and eGFR displayed significant associations with outcomes among patients with T2D.
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