Stephen P. Juraschek

Dr. Stephen P. Juraschek


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 May 2012 in The American Journal of Clinical Nutrition
Verified
Journal Article
Open access
PDF file
SJStephen P. Juraschek
Stephen P. Juraschek
EGEliseo Guallar
Eliseo Guallar
LALawrence J Appel
Lawrence J Appel
E3EDGAR MILLER 3rd
EDGAR MILLER 3rd
Background: In observational studies, increased vitamin C intake, vitamin C supplementation, and higher blood concentrations of vitamin C are associa

1 December 2017 in JACC
Verified
Journal Article
Closed access
SJStephen P. Juraschek
Stephen P. Juraschek
EMEdgar R. Miller
Edgar R. Miller
CWConnie M. Weaver
Connie M. Weaver
LALawrence J. Appel
Lawrence J. Appel

18 May 2021 in Diabetes Care
Verified
Journal Article
Open access
PDF file
NMNoel Mueller
Noel Mueller
MDMoira K. Differding
Moira K. Differding
MZMingyu Zhang
Mingyu Zhang
NMNisa M. Maruthur
Nisa M. Maruthur
SJStephen P. Juraschek
Stephen P. Juraschek
HYHsin-Chieh Yeh
Hsin-Chieh Yeh
OBJECTIVE: To determine the longer-term effects of metformin treatment and behavioral weight loss on gut microbiota and short-chain fatty acids (SCFAs).RESEARCH DESIGN AND METHODS: We conducted a 3-parallel-arm, randomized trial. We enrolled overweight/obese adults who had been treated for solid tumors but had no ongoing cancer treatment and randomized them (n = 121) to either 1) metformin (up to 2,000 mg), 2) coach-directed behavioral weight loss, or 3) self-directed care (control) for 12 months. We collected stool and serum at baseline (n = 114), 6 months (n = 109), and 12 months (n = 105). From stool, we extracted microbial DNA and conducted amplicon and metagenomic sequencing. We measured SCFAs and other biochemical parameters from fasting serum.RESULTS: Of the 121 participants, 79% were female and 46% were Black, and the mean age was 60 years. Only metformin treatment significantly altered microbiota composition. Compared with control, metformin treatment increased amplicon sequence variants for Escherichia (confirmed as Escherichia coli by metagenomic sequencing) and Ruminococcus torques and decreased Intestinibacter bartlettii at both 6 and 12 months and decreased the genus Roseburia, including R. faecis and R. intestinalis, at 12 months. Effects were similar in comparison of the metformin group with the behavioral weight loss group. Metformin versus control also increased butyrate, acetate, and valerate at 6 months (but not at 12 months). Behavioral weight loss versus control did not significantly alter microbiota composition but did increase acetate at 6 months (but not at 12 months). Increases in acetate were associated with decreases in fasting insulin. Additional whole-genome metagenomic sequencing of a subset of the metformin group showed that metformin altered 62 metagenomic functional pathways, including an acetate-producing pathway and three pathways in glucose metabolism.CONCLUSIONS: Metformin, but not behavioral weight loss, impacted gut microbiota composition at 6 months and 12 months. Both metformin and behavioral weight loss altered circulating SCFAs at 6 months, including increasing acetate, which correlated with lower fasting insulin. Future research is needed to elucidate whether the gut microboime mediates or modifies metformin’s health effects.

1 January 2019 in JACC
Verified
Journal Article
Closed access
PMPaul Muntner
Paul Muntner
PEPaula T. Einhorn
Paula T. Einhorn
WCWilliam C. Cushman
William C. Cushman
PWPaul K. Whelton
Paul K. Whelton
NBNatalie A. Bello
Natalie A. Bello
LALawrence J. Appel
Lawrence J. Appel

26 May 2015 in Circulation
Verified
Journal Article
Open access
PDF file
WQWaqas T. Qureshi
Waqas T. Qureshi
ZAZaid Alirhayim
Zaid Alirhayim
MBMichael J. Blaha
Michael J. Blaha
SJStephen P. Juraschek
Stephen P. Juraschek
SKSteven J. Keteyian
Steven J. Keteyian
MAMouaz H Al-Mallah
Mouaz H Al-Mallah
Background—: Poor cardiorespiratory fitness (CRF) is an independent risk factor for cardiovascular morbidity and mortality. However, the relationship between CRF and atrial fibrillation (AF) is less clear. The aim of this analysis was to investigate the association between CRF and incident AF in a large, multiracial cohort that underwent graded exercise treadmill testing. Methods and Results—: From 1991 to 2009, a total of 64 561 adults (mean age, 54.5±12.7 years; 46% female; 64% white) without AF underwent exercise treadmill testing at a tertiary care center. Baseline demographic and clinical variables were collected. Incident AF was ascertained by use of International Classification of Diseases, Ninth Revision code 427.31 and confirmed by linkage to medical claim files. Nested, multivariable Cox proportional hazards models were used to estimate the independent association of CRF with incident AF. During a median follow-up of 5.4 years (interquartile range, 3–9 years), 4616 new cases of AF were diagnosed. After adjustment for potential confounders, 1 higher metabolic equivalent achieved during treadmill testing was associated with a 7% lower risk of incident AF (hazard ratio, 0.93; 95% confidence interval, 0.92–0.94; P <0.001). This relationship remained significant after adjustment for incident coronary artery disease (hazard ratio, 0.92; 95% confidence interval, 0.91–0.93; P <0.001). The magnitude of the inverse association between CRF and incident AF was greater among obese compared with nonobese individuals ( P for interaction=0.02). Conclusions—: There is a graded, inverse relationship between cardiorespiratory fitness and incident AF, especially among obese patients. Future studies should examine whether changes in fitness increase or decrease risk of atrial fibrillation. This association was stronger for obese compared with nonobese, especially among obese patients.

2 December 2019 in JAMA Network Open
Verified
Journal Article
Open access
PDF file
DSDaniel N. Silverman
Daniel N. Silverman
TPTimothy B. Plante
Timothy B. Plante
MIMargaret M. Infeld
Margaret M. Infeld
PCPeter W. Callas
Peter W. Callas
SJStephen P. Juraschek
Stephen P. Juraschek
MMMarkus Meyer
Markus Meyer
Heart failure (HF) is a leading cause of hospitalizations and is associated with increased health care costs.1,2 More than half of the patients with HF have a preserved ejection fraction (HFpEF), defined as an ejection fraction (EF) of 50% or greater. Heart failure with a preserved EF continues to increase in prevalence and is associated with a high rate of hospitalization, yet, to our knowledge, evidenced-based therapies are lacking.1-4