Institution
Karolinska Institutet
Education•Stockholm, Sweden•
About: Karolinska Institutet is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Poison control. The organization has 46212 authors who have published 121142 publications receiving 6008130 citations.
Topics: Population, Poison control, Cancer, Cohort study, Breast cancer
Papers published on a yearly basis
Papers
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TL;DR: The observed training effects suggest that WM training could be used as a remediating intervention for individuals for whom low WM capacity is a limiting factor for academic performance or in everyday life.
1,429 citations
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TL;DR: An etiology involving a specific genotype, an environmental provocation, and the induction of specific autoimmunity are suggested, all restricted to a distinct subset of RA.
Abstract: A new model for an etiology of rheumatoid arthritis : smoking may trigger HLA-DR (shared epitope)-restricted immune reactions to autoantigens modified by citrullination.
1,425 citations
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TL;DR: Although it reduced new-onset diabetes, insulin glargine also increased hypoglycemia and modestly increased weight and had a neutral effect on cardiovascular outcomes and cancers.
Abstract: BACKGROUND: The provision of sufficient basal insulin to normalize fasting plasma glucose levels may reduce cardiovascular events, but such a possibility has not been formally tested.
METHODS: We randomly assigned 12,537 people (mean age, 63.5 years) with cardiovascular risk factors plus impaired fasting glucose, impaired glucose tolerance, or type 2 diabetes to receive insulin glargine (with a target fasting blood glucose level of ≤95 mg per deciliter [5.3 mmol per liter]) or standard care and to receive n-3 fatty acids or placebo with the use of a 2-by-2 factorial design. The results of the comparison between insulin glargine and standard care are reported here. The coprimary outcomes were nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular causes and these events plus revascularization or hospitalization for heart failure. Microvascular outcomes, incident diabetes, hypoglycemia, weight, and cancers were also compared between groups.
RESULTS: The median follow-up was 6.2 years (interquartile range, 5.8 to 6.7). Rates of incident cardiovascular outcomes were similar in the insulin-glargine and standard-care groups: 2.94 and 2.85 per 100 person-years, respectively, for the first coprimary outcome (hazard ratio, 1.02; 95% confidence interval [CI], 0.94 to 1.11; P=0.63) and 5.52 and 5.28 per 100 person-years, respectively, for the second coprimary outcome (hazard ratio, 1.04; 95% CI, 0.97 to 1.11; P=0.27). New diabetes was diagnosed approximately 3 months after therapy was stopped among 30% versus 35% of 1456 participants without baseline diabetes (odds ratio, 0.80; 95% CI, 0.64 to 1.00; P=0.05). Rates of severe hypoglycemia were 1.00 versus 0.31 per 100 person-years. Median weight increased by 1.6 kg in the insulin-glargine group and fell by 0.5 kg in the standard-care group. There was no significant difference in cancers (hazard ratio, 1.00; 95% CI, 0.88 to 1.13; P=0.97).
CONCLUSIONS: When used to target normal fasting plasma glucose levels for more than 6 years, insulin glargine had a neutral effect on cardiovascular outcomes and cancers. Although it reduced new-onset diabetes, insulin glargine also increased hypoglycemia and modestly increased weight. (Funded by Sanofi; ORIGIN ClinicalTrials.gov number, NCT00069784.).
1,425 citations
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TL;DR: Applying Smart-Seq to circulating tumor cells from melanomas, it is found that although gene expression estimates from single cells have increased noise, hundreds of differentially expressed genes could be identified using few cells per cell type.
Abstract: RNA-Seq of single cells has been limited by biases in transcript coverage and unknown technical variability. Ramskold et al. describe a protocol to reproducibly recover full-length transcripts and use it to quantitatively analyze splice isoforms in single cells.
1,412 citations
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TL;DR: A hidden Markov model, Phobius, is designed that combines transmembrane topology and signal peptide predictions, and also allows constrained and homology-enriched predictions.
Abstract: When using conventional transmembrane topology and signal peptide predictors, such as TMHMM and SignalP, there is a substantial overlap between these two types of predictions. Applying these methods to five complete proteomes, we found that 30–65% of all predicted signal peptides and 25–35% of all predicted transmembrane topologies overlap. This impairs predictions of 5–10% of the proteome, hence this is an important issue in protein annotation. To address this problem, we previously designed a hidden Markov model, Phobius, that combines transmembrane topology and signal peptide predictions. The method makes an optimal choice between transmembrane segments and signal peptides, and also allows constrained and homologyenriched predictions. We here present a web interface (http:// phobius.cgb.ki.se and http://phobius.binf.ku.dk) to access Phobius.
1,410 citations
Authors
Showing all 46522 results
Name | H-index | Papers | Citations |
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Meir J. Stampfer | 277 | 1414 | 283776 |
Albert Hofman | 267 | 2530 | 321405 |
Guido Kroemer | 236 | 1404 | 246571 |
Eric B. Rimm | 196 | 988 | 147119 |
Scott M. Grundy | 187 | 841 | 231821 |
Jing Wang | 184 | 4046 | 202769 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
John Hardy | 177 | 1178 | 171694 |
Marc G. Caron | 173 | 674 | 99802 |
Ramachandran S. Vasan | 172 | 1100 | 138108 |
Adrian L. Harris | 170 | 1084 | 120365 |
Douglas F. Easton | 165 | 844 | 113809 |
Zulfiqar A Bhutta | 165 | 1231 | 169329 |
Judah Folkman | 165 | 499 | 148611 |
Ralph A. DeFronzo | 160 | 759 | 132993 |