Rachel S Dankner

Prof. Dr. Rachel S Dankner

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2008 in Diabetes Care
Verified
Journal Article
Open access
PDF file
MSMichael H. Shanik
Michael H. Shanik
YXYuping Xu
Yuping Xu
JSJan ŠkRha
Jan ŠkRha
RDRachel S Dankner
Rachel S Dankner
YZYehiel Zick
Yehiel Zick
JRJesse Roth
Jesse Roth
Insulin resistance, recently recognized as a strong predictor of disease in adults, has become the leading element of the metabolic syndrome and renewed as a focus of research. The condition exists when insulin levels are higher than expected relative to the level of glucose. Thus, insulin resistance is by definition tethered to hyperinsulinemia. The rising prevalence of medical conditions where insulin resistance is common has energized research into the causes. Many causes and consequences have been identified, but the direct contributions of insulin itself in causing or sustaining insulin resistance have received little sustained attention. We examine situations where insulin itself appears to be a proximate and important quantitative contributor to insulin resistance. 1) Mice transfected with extra copies of the insulin gene produce basal and stimulated insulin levels that are two to four times elevated. The mice are of normal weight but show insulin resistance, hyperglycemia, and hypertriglyceridemia. 2) Somogyi described patients with unusually high doses of insulin and hyperglycemia. Episodes of hypoglycemia with release of glucose-raising hormones, postulated as the culprits in early studies, have largely been excluded by studies including continuous glucose monitoring. 3) Rats and humans treated with escalating doses of insulin show both hyperinsulinemia and insulin resistance. 4) The pulsatile administration of insulin (rather than continuous) results in reduced requirements for insulin. 5) Many patients with insulinoma who have elevated basal levels of insulin have reduced (but not absent) responsiveness to administered insulin. In summary, hyperinsulinemia is often both a result and a driver of insulin resistance.

26 March 2014 in JAMA
Verified
Journal Article
Open access
PDF file
TCThe Emerging Risk Factors Collaboration
The Emerging Risk Factors Collaboration
EAEmanuele Di Angelantonio
Emanuele Di Angelantonio
PGPei Gao
Pei Gao
HKHassan Khan
Hassan Khan
ABAdam S. Butterworth
Adam S. Butterworth
JDJohn Danesh
John Danesh
To help achieve reductions in diabetes-specific microvascular complications, guidelines recommend screening people for diabetes mellitus by assessing glycemia measures, such as fasting blood glucose levels and levels of glycated hemoglobin (HbA1c), a measure of glucose exposure over the previous 2 to 3 months.1,2 Furthermore, because higher levels of glycemia measures have also been associated with higher cardiovascular disease (CVD) incidence,3,4 it has been proposed that including information on glycemia measures in algorithms used to predict the risk of CVD might be associated with improvements in the ability to predict CVD.5-7

1 June 2002 in Archives of Physical Medicine and Rehabilitation
Verified
Journal Article
Closed access
RHRaphael J. Heruti
Raphael J. Heruti
ALAyala Lusky
Ayala Lusky
RDRachel S Dankner
Rachel S Dankner
HRHaim Ring
Haim Ring
MDMark Dolgopiat
Mark Dolgopiat
AAAbraham Adunsky
Abraham Adunsky

1 March 2015 in Nutrition, Metabolism and Cardiovascular Diseases
Verified
Journal Article
Closed access
XSX. Song
X. Song
PJP. Jousilahti
P. Jousilahti
CSC.D.A. Stehouwer
C.D.A. Stehouwer
SSStefan Söderberg
Stefan Söderberg
AOA. Onat
A. Onat
QQQ. Qiao
Q. Qiao

23 October 2013 in European Journal of Clinical Nutrition
Verified
Journal Article
Closed access
XSX Song
X Song
PJP Jousilahti
P Jousilahti
CSC D A Stehouwer
C D A Stehouwer
SSStefan Söderberg
Stefan Söderberg
AOA Onat
A Onat
QQQ Qiao
Q Qiao

2 June 2016 in American Journal of Epidemiology
Verified
Journal Article
Open access
PDF file
RDRachel S Dankner
Rachel S Dankner
PBPaolo Boffetta
Paolo Boffetta
RBRan D. Balicer
Ran D. Balicer
LBLital Keinan Boker
Lital Keinan Boker
MSMaya Sadeh
Maya Sadeh
LFLaurence S. Freedman
Laurence S. Freedman
Using a time-dependent approach, we investigated all-site and site-specific cancer incidence in a large population stratified by diabetes status. The study analyzed a closed cohort comprised of Israelis aged 21–89 years, enrolled in a health fund, and followed from 2002 to 2012. Adjusting for age, ethnicity, and socioeconomic status, we calculated hazard ratios for cancer incidence using Cox regression separately for participants with prevalent and incident diabetes; the latter was further divided by time since diabetes diagnosis. Of the 2,186,196 individuals included in the analysis, 159,104 were classified as having prevalent diabetes, 408,243 as having incident diabetes, and 1,618,849 as free of diabetes. In both men and women, diabetes posed an increased risk of cancers of the liver, pancreas, gallbladder, endometrium, stomach, kidney, brain (benign), brain (malignant), colon/rectum, lung (all, adenocarcinoma, and squamous cell carcinoma), ovary, and bladder, as well as leukemia, multiple myeloma, non-Hodgkin lymphoma, and breast cancer in postmenopausal women. No excess risk was observed for breast cancer in premenopausal women or for thyroid cancer. Diabetes was associated with a reduced risk of prostate cancer. Hazard ratios for all-site and site-specific cancers were particularly elevated during the first year following diabetes diagnosis. The findings of this large study with a time-dependent approach are consistent with those of previous studies that have observed associations between diabetes and cancer incidence.