Mihail Zilbermint

Dr. Mihail Zilbermint

Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

View All Publications
29 March 2022 in Journal of Diabetes Science and Technology
Verified
Journal Article
Closed access
DKDavid C. Klonoff
David C. Klonoff
JWJing Wang
Jing Wang
DRDavid Rodbard
David Rodbard
MKMichael A. Kohn
Michael A. Kohn
CLChengdong Li
Chengdong Li
BKBoris Kovatchev
Boris Kovatchev
Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.

1 June 2014 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
PDF file
Fabio FauczFabio Faucz
Fabio Faucz
Mihail ZilbermintMihail Zilbermint
Mihail Zilbermint
MLMaya B. Lodish
Maya B. Lodish
ESEva Szarek
Eva Szarek
GTGiampaolo Trivellin
Giampaolo Trivellin
Constantine A. StratakisConstantine A. Stratakis
Constantine A. Stratakis
Context: Inactivating germline mutations of the probable tumor suppressor gene, armadillo repeat containing 5 (ARMC5), have recently been identified as a genetic cause of macronodular adrenal hyperplasia (MAH). Objective: We searched for ARMC5 mutations in a large cohort of patients with MAH. The clinical phenotype of patients with and without ARMC5 mutations was compared. Methods: Blood DNA from 34 MAH patients was genotyped using Sanger sequencing. Diurnal serum cortisol measurements, plasma ACTH levels, urinary steroids, 6-day Liddle's test, adrenal computed tomography, and weight of adrenal glands at adrenalectomy were assessed. Results: Germline ARMC5 mutations were found in 15 of 34 patients (44.1%). In silico analysis of the mutations indicated that seven (20.6%) predicted major implications for gene function. Late-night cortisol levels were higher in patients with ARMC5-damaging mutations compared with those without and/or with nonpathogenic mutations (14.5 ± 5.6 vs 6.7 ± 4.3, P < .001). All patients carrying a pathogenic ARMC5 mutation had clinical Cushing's syndrome (seven of seven, 100%) compared with 14 of 27 (52%) of those without or with mutations that were predicted to be benign (P = .029). Repeated-measures analysis showed overall higher urinary 17-hydroxycorticosteroids and free cortisol values in the patients with ARMC5-damaging mutations during the 6-day Liddle's test (P = .0002). Conclusions: ARMC5 mutations are implicated in clinically severe Cushing's syndrome associated with MAH. Knowledge of a patient's ARMC5 status has important clinical implications for the diagnosis of Cushing's syndrome and genetic counseling of patients and their families.

1 June 2015 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
PDF file
Mihail ZilbermintMihail Zilbermint
Mihail Zilbermint
PXParaskevi Xekouki
Paraskevi Xekouki
Fabio FauczFabio Faucz
Fabio Faucz
ABAnnabel Berthon
Annabel Berthon
AGAlexandra Gkourogianni
Alexandra Gkourogianni
Constantine A. StratakisConstantine A. Stratakis
Constantine A. Stratakis
Context: Primary aldosteronism is one of the leading causes of secondary hypertension, causing significant morbidity and mortality. A number of genetic defects have recently been identified in primary aldosteronism, whereas we identified mutations in ARMC5, a tumor-suppressor gene, in cortisol-producing primary macronodular adrenal hyperplasia. Objective: We investigated a cohort of 56 patients who were referred to the National Institutes of Health for evaluation of primary aldosteronism for ARMC5 defects. Methods: Patients underwent step-wise diagnosis, with measurement of serum aldosterone and plasma renin activity followed by imaging, saline suppression and/or oral salt loading tests, plus adrenal venous sampling. Cortisol secretion was also evaluated; unilateral or bilateral adrenalectomy was performed, if indicated. DNA, protein, and transfection studies in H295R cells were conducted by standard methods. Results: We identified 12 germline ARMC5 genetic alterations in 20 unrelated and two related individuals in our cohort (39.3%). ARMC5 sequence changes in 6 patients (10.7%) were predicted to be damaging by in silico analysis. All affected patients carrying a variant predicted to be damaging were African Americans (P = .0023). Conclusions: Germline ARMC5 variants may be associated with primary aldosteronism. Additional cohorts of patients with primary aldosteronism and metabolic syndrome, particularly African Americans, should be screened for ARMC5 sequence variants because these may underlie part of the known increased predisposition of African Americans to low renin hypertension.

Verified
Journal Article
Open access
PDF file
Mihail ZilbermintMihail Zilbermint
Mihail Zilbermint
FHFady Hannah-Shmouni
Fady Hannah-Shmouni
CSConstantine A. Stratakis
Constantine A. Stratakis
Hypertension is the leading cause of cardiovascular disease in the United States, affecting up to one-third of adults. When compared to other ethnic or racial groups in the United States, African Americans and other people of African descent show a higher incidence of hypertension and its related comorbidities; however, the genetics of hypertension in these populations has not been studied adequately. Several genes have been identified to play a role in the genetics of hypertension. They include genes regulating the renin-aldosterone-angiotensin system (RAAS), such as Sodium Channel Epithelial 1 Beta Subunit (SCNN1B), Armadillo Repeat Containing 5 (ARMC5), G Protein-Coupled Receptor Kinase 4 (GRK4), and Calcium Voltage-Gated Channel Subunit Alpha1 D (CACNA1D). In this review, we focus on recent genetic findings available in the public domain for potential differences between African Americans and other populations. We also cover some recent and relevant discoveries in the field of low-renin hypertension from our laboratory at the National Institutes of Health. Understanding the different genetics of hypertension among various groups is essential for effective precision-guided medical therapy of high blood pressure.

4 January 2021 in JAMA Network Open
Verified
Journal Article
Closed access
PDF file
NMNestoras Mathioudakis
Nestoras Mathioudakis
MAMohammed S. Abusamaan
Mohammed S. Abusamaan
ASAhmed F. Shakarchi
Ahmed F. Shakarchi
SSSam Sokolinsky
Sam Sokolinsky
SFShamil Fayzullin
Shamil Fayzullin
SGSherita Hill Golden
Sherita Hill Golden
Inpatient hypoglycemia is a prevalent and often preventable adverse event associated with increased morbidity and mortality, length of stay, readmissions, and health care expenditures.1-6 Considering that most patients with diabetes are hospitalized for reasons other than glucose management,7,8 situational unawareness of the near-term risk of iatrogenic hypoglycemia may result from competing medical priorities, lack of sufficient training in glycemic pattern recognition,9-11 or other system factors.12 Studies13-15 have demonstrated practitioner inertia in adjusting glucose-lowering medications before hypoglycemic events or in response to antecedent hypoglycemia.

1 October 2015 in European Journal of Endocrinology
Verified
Journal Article
Closed access
PDF file
RCRicardo Correa
Ricardo Correa
Mihail ZilbermintMihail Zilbermint
Mihail Zilbermint
ABAnnabel Berthon
Annabel Berthon
SEStephanie Espiard
Stephanie Espiard
MBMaria Batsis
Maria Batsis
CSConstantine A Stratakis
Constantine A Stratakis
Objective Primary macronodular adrenal hyperplasia (PMAH) is a rare type of Cushing's syndrome (CS) that results in increased cortisol production and bilateral enlargement of the adrenal glands. Recent work showed that the disease may be caused by germline and somatic mutations in the ARMC5 gene, a likely tumor suppressor gene (TSG). We investigated 20 different adrenal nodules from one patient with PMAH for ARMC5 somatic sequence changes. Design All of the nodules were obtained from a single patient who underwent bilateral adrenalectomy. DNA was extracted by standard protocol and the ARMC5 sequence was determined by the Sanger method. Results Sixteen of 20 adrenocortical nodules harbored, in addition to what appeared to be the germline mutation, a second somatic variant. The p.Trp476* sequence change was present in all 20 nodules, as well as in normal tissue from the adrenal capsule, identifying it as the germline defect; each of the 16 other variants were found in different nodules: six were frame shift, four were missense, three were nonsense, and one was a splice site variation. Allelic losses were confirmed in two of the nodules. Conclusion This is the most genetic variance of the ARMC5 gene ever described in a single patient with PMAH: each of 16 adrenocortical nodules had a second new, ‘private,’ and – in most cases – completely inactivating ARMC5 defect, in addition to the germline mutation. The data support the notion that ARMC5 is a TSG that needs a second, somatic hit, to mediate tumorigenesis leading to polyclonal nodularity; however, the driver of this extensive genetic variance of the second ARMC5 allele in adrenocortical tissue in the context of a germline defect and PMAH remains a mystery. Abstract Objective Primary macronodular adrenal hyperplasia (PMAH) is a rare type of Cushing's syndrome (CS) that results in increased cortisol production and bilateral enlargement of the adrenal glands. Recent work showed that the disease may be caused by germline and somatic mutations in the ARMC5 gene, a likely tumor suppressor gene (TSG). We investigated 20 different adrenal nodules from one patient with PMAH for ARMC5 somatic sequence changes. Design All of the nodules were obtained from a single patient who underwent bilateral adrenalectomy. DNA was extracted by standard protocol and the ARMC5 sequence was determined by the Sanger method. Results Sixteen of 20 adrenocortical nodules harbored, in addition to what appeared to be the germline mutation, a second somatic variant. The p.Trp476* sequence change was present in all 20 nodules, as well as in normal tissue from the adrenal capsule, identifying it as the germline defect; each of the 16 other variants were found in different nodules: six were frame shift, four were missense, three were nonsense, and one was a splice site variation. Allelic losses were confirmed in two of the nodules. Conclusion This is the most genetic variance of the ARMC5 gene ever described in a single patient with PMAH: each of 16 adrenocortical nodules had a second new, ‘private,’ and – in most cases – completely inactivating ARMC5 defect, in addition to the germline mutation. The data support the notion that ARMC5 is a TSG that needs a second, somatic hit, to mediate tumorigenesis leading to polyclonal nodularity; however, the driver of this extensive genetic variance of the second ARMC5 allele in adrenocortical tissue in the context of a germline defect and PMAH remains a mystery.