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Ross A. Baker

Bristol-Myers Squibb (United States)

ORCID: 0000-0001-5256-0470

Publishes on Schizophrenia research and treatment, Treatment of Major Depression, Healthcare Decision-Making and Restraints. 149 papers and 4.3k citations.

149Publications
4.3kTotal Citations

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Differential expression of the beta2-adrenergic receptor by Th1 and Th2 clones: implications for cytokine production and B cell help
V M Sanders, Ross A. Baker, D S Ramer-Quinn et al.|The Journal of Immunology|1997
Cited by 432Open Access

An important function of the sympathetic nervous system is to maintain homeostasis by modulating the level of cellular activity in many diverse organ systems. The sympathetic neurotransmitter norepinephrine modulates the level of T and B lymphocyte activity by binding to the beta2-adrenergic receptor (beta2AR). The present study was designed to elucidate the mechanism by which stimulation of the beta2AR affects both Th1/Th2 cell cytokine production and Th1/Th2 cell-dependent Ab production. Clones of murine Th1/Th2 cells were exposed to the beta2AR agonist terbutaline before activation by Ag-presenting B cells. Terbutaline exposure of Th1 cells before activation inhibited IFN-gamma production by Th1 cells and subsequent IgG2a production by B cells. IgG2a inhibition was prevented by addition of the betaAR antagonist nadolol or exogenous IFN-gamma. In contrast to Th1 cells, terbutaline did not affect either IL-4 production by Th2 cells or subsequent IgG1 production by B cells. Although baseline levels of intracellular cAMP were similar in both subsets, terbutaline induced an increase in cAMP levels in Th1 cells only. Radioligand binding studies showed that a detectable number of beta2AR binding sites were present on Th1 cells, but not on Th2 cells. Immunofluorescence analyses showed that Th1 cells expressed a higher level of the beta2AR cytoplasmic carboxyl terminus than did Th2 cells. These results show that expression of the beta2AR binding site by Th1 cells, but not by Th2 cells, establishes a physiologic mechanism for selective modulation of Th1 cell IFN-gamma production and IFN-gamma-dependent IgG2a production, provided that beta2AR stimulation occurs before cell activation by a B cell.

Activated T helper 1 and T helper 2 cells differentially express the beta-2-adrenergic receptor: a mechanism for selective modulation of T helper 1 cell cytokine production
D S Ramer-Quinn, Ross A. Baker, V M Sanders|The Journal of Immunology|1997
Cited by 214

We recently reported that resting clones of murine Th1 cells, but not resting Th2 cells, expressed a detectable level of the beta-2-adrenergic receptor (beta 2AR). In the present study, we proposed that the level of beta 2AR expression on anti-CD3 mAb-activated CD4+ effector Th cells may differ from the level on resting cells, and that a change in receptor expression may alter the functional responsiveness of these cells to either the beta 2AR-selective ligand terbutaline or the sympathetic neurotransmitter norepinephrine. Following anti-CD3 activation, the beta 2AR was expressed on Th1 cells, but not Th2 cells. The number of binding sites on Th1 cells was maintained, with no change in affinity, over a 24-h activation period. When Th clones were exposed to terbutaline following anti-CD3 activation, Th1 cell, but not Th2 cell, cytokine production was modulated. IL-2 production by Th1 cells was decreased, while IFN-gamma production was not significantly altered. The decrease in IL-2 production was concentration dependent and was blocked by an antagonist. In comparison with control supernatants, the lower level of IL-2 present in terbutaline-exposed culture supernatants supported the proliferation of an IL-2-dependent Th1 clone to a lesser degree. Additionally, norepinephrine down-modulates IL-2, but not IFN-gamma, production by binding specifically to the beta-adrenergic receptor. Thus, a detectable level of the beta 2AR is expressed on activated Th1 cells, but not activated Th2 cells, thereby providing a mechanism by which IL-2 production is preferentially modulated by an endogenous and therapeutic ligand following Th1 cell activation.

Prevalence and Predictors of Lipid and Glucose Monitoring in Commercially Insured Patients Treated With Second-Generation Antipsychotic Agents
Dan Haupt, Lisa Rosenblatt, Edward Kim et al.|American Journal of Psychiatry|2009
Cited by 184

OBJECTIVE: The authors sought to quantify plasma lipid and glucose testing rates in patients receiving second-generation antipsychotics before and after guidelines recommending testing were issued in February 2004 by the American Diabetes Association (ADA). METHOD: In this retrospective cohort analysis using data from a large managed care database (PharMetrics, 2000-2006), patients under age 65 on second-generation antipsychotics were identified and followed from 40 days before to 130 days after the antipsychotic prescription was written. Baseline and 12-week (40 days) lipid and glucose testing rates were determined for pre- and postguideline cohorts. Logistic regression analyses determined predictors of baseline and 12-week lipid and glucose testing while controlling for covariates. RESULTS: A total of 5,787 preguideline patients and 17,832 postguideline patients were identified. Baseline lipid testing rates were 8.4% for the preguideline cohort and 10.5% for the postguideline cohort, and the 12-week testing rates were 6.8% and 9.0%, respectively. Baseline glucose testing rates were 17.3% for the preguideline cohort and 21.8% for the postguideline cohort, and the 12-week testing rates were 14.1% and 17.9%, respectively. All four comparisons were statistically significant. Baseline and 12-week testing rates for lipids and glucose in children were the lowest of all age groups. CONCLUSIONS: Despite statistically significant improvements after the ADA guidelines were issued, monitoring for plasma lipids and glucose in this population remains low. Clinicians and administrators responsible for the health of at-risk populations should implement new approaches for effective monitoring of major modifiable risk factors for medical morbidity and mortality in patients taking second-generation antipsychotics.

Digital health technology for use in patients with serious mental illness: a systematic review of the literature
Sonal Batra, Ross A. Baker, Tao Wang et al.|Medical Devices Evidence and Research|2017
Cited by 183Open Access

Background: As the capabilities and reach of technology have expanded, there is an accompanying proliferation of digital technologies developed for use in the care of patients with mental illness. The objective of this review was to systematically search published literature to identify currently available health technologies and their intended uses for patients with serious mental illness. Materials and methods: The Medline, Embase, and BIOSIS Previews electronic databases were searched to identify peer-reviewed English language articles that reported the use of digital, mobile, and other advanced technology in patients with schizophrenia/schizoaffective disorder, bipolar disorder, and major depressive disorder. Eligible studies were systematically reviewed based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: Eighteen studies that met the inclusion criteria were identified. Digital health technologies (DHTs) assessed in the selected studies included mobile applications (apps), digital medicine, digital personal health records, and an electronic pill container. Smartphone apps accounted for the largest share of DHTs. The intended uses of DHTs could be broadly classified as monitoring to gain a better understanding of illness, clinical assessment, and intervention. Overall, studies indicated high usability/feasibility and efficacy/effectiveness, with several reporting validity against established clinical scales. Users were generally engaged with the DHT, and mobile assessments were deemed helpful in monitoring disease symptoms. Conclusion: Rapidly proliferating digital technologies seem to be feasible for short-term use in patients with serious mental illness; nevertheless, long-term effectiveness data from naturalistic studies will help demonstrate their usefulness and facilitate their adoption and integration into the mental health-care system. Keywords: serious mental illness, health technology, mHealth, smartphone applications, digital medicine