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Article ; Online: C

Cohen, Asaf / Cohen, Hagai / Cohen, Sidney R / Khodorov, Sergey / Feldman, Yishay / Kossoy, Anna / Kaplan-Ashiri, Ifat / Frenkel, Anatoly / Wachtel, Ellen / Lubomirsky, Igor / Ehre, David

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 18

Abstract: A protocol for successfully depositing [001] textured, 2−3 µm thick films of Al0.75Sc0.25N, is proposed. The procedure relies on the fact that sputtered Ti is [001]-textured α-phase (hcp). Diffusion of nitrogen ions into the α-Ti film during reactive ... ...

Abstract	A protocol for successfully depositing [001] textured, 2−3 µm thick films of Al0.75Sc0.25N, is proposed. The procedure relies on the fact that sputtered Ti is [001]-textured α-phase (hcp). Diffusion of nitrogen ions into the α-Ti film during reactive sputtering of Al0.75,Sc0.25N likely forms a [111]-oriented TiN intermediate layer. The lattice mismatch of this very thin film with Al0.75Sc0.25N is ~3.7%, providing excellent conditions for epitaxial growth. In contrast to earlier reports, the Al0.75Sc0.25N films prepared in the current study are Al-terminated. Low growth stress (<100 MPa) allows films up to 3 µm thick to be deposited without loss of orientation or decrease in piezoelectric coefficient. An advantage of the proposed technique is that it is compatible with a variety of substrates commonly used for actuators or MEMS, as demonstrated here for both Si wafers and D263 borosilicate glass. Additionally, thicker films can potentially lead to increased piezoelectric stress/strain by supporting application of higher voltage, but without increase in the magnitude of the electric field.
Language	English
Publishing date	2022-09-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22187041
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Article ; Online: Radiation-induced transformation of the C

Volosatova, Anastasia D / Zasimov, Pavel V / Feldman, Vladimir I

The Journal of chemical physics

2022 Volume 157, Issue 17, Page(s) 174306

Abstract: ... the vibrational spectrum of the 1:1 C ...

Abstract	Acetylene and ammonia are important constituents of the interstellar medium, and their coupled chemistry induced by high-energy radiation may be responsible for the formation of a variety of prebiotically important organic-nitrogen compounds. In this work, we first comprehensively characterized the vibrational spectrum of the 1:1 C
Language	English
Publishing date	2022-10-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	3113-6
ISSN	1089-7690 ; 0021-9606
ISSN (online)	1089-7690
ISSN	0021-9606
DOI	10.1063/5.0121523
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Article ; Online: Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning.

Tavolara, Thomas E / Niazi, M Khalid Khan / Feldman, Andrew L / Jaye, David L / Flowers, Christopher / Cooper, Lee A D / Gurcan, Metin N

Diagnostic pathology

2024 Volume 19, Issue 1, Page(s) 17

Abstract: Background: c-MYC and BCL2 positivity are important prognostic factors for diffuse large B-cell ... applies a technique called attention-based multiple instance learning to regress the proportion of c-MYC ... scores for c-MYC and BCL2, respectively. When utilizing standard clinical thresholds, the sensitivity ...

Abstract	Background: c-MYC and BCL2 positivity are important prognostic factors for diffuse large B-cell lymphoma. However, manual quantification is subject to significant intra- and inter-observer variability. We developed an automated method for quantification in whole-slide images of tissue sections where manual quantification requires evaluating large areas of tissue with possibly heterogeneous staining. We train this method using annotations of tumor positivity in smaller tissue microarray cores where expression and staining are more homogeneous and then translate this model to whole-slide images. Methods: Our method applies a technique called attention-based multiple instance learning to regress the proportion of c-MYC-positive and BCL2-positive tumor cells from pathologist-scored tissue microarray cores. This technique does not require annotation of individual cell nuclei and is trained instead on core-level annotations of percent tumor positivity. We translate this model to scoring of whole-slide images by tessellating the slide into smaller core-sized tissue regions and calculating an aggregate score. Our method was trained on a public tissue microarray dataset from Stanford and applied to whole-slide images from a geographically diverse multi-center cohort produced by the Lymphoma Epidemiology of Outcomes study. Results: In tissue microarrays, the automated method had Pearson correlations of 0.843 and 0.919 with pathologist scores for c-MYC and BCL2, respectively. When utilizing standard clinical thresholds, the sensitivity/specificity of our method was 0.743 / 0.963 for c-MYC and 0.938 / 0.951 for BCL2. For double-expressors, sensitivity and specificity were 0.720 and 0.974. When translated to the external WSI dataset scored by two pathologists, Pearson correlation was 0.753 & 0.883 for c-MYC and 0.749 & 0.765 for BCL2, and sensitivity/specificity was 0.857/0.991 & 0.706/0.930 for c-MYC, 0.856/0.719 & 0.855/0.690 for BCL2, and 0.890/1.00 & 0.598/0.952 for double-expressors. Survival analysis demonstrates that for progression-free survival, model-predicted TMA scores significantly stratify double-expressors and non double-expressors (p = 0.0345), whereas pathologist scores do not (p = 0.128). Conclusions: We conclude that proportion of positive stains can be regressed using attention-based multiple instance learning, that these models generalize well to whole slide images, and that our models can provide non-inferior stratification of progression-free survival outcomes.
MeSH term(s)	Humans ; Prognosis ; Deep Learning ; Proto-Oncogene Proteins c-myc/metabolism ; Lymphoma, Large B-Cell, Diffuse ; Proto-Oncogene Proteins c-bcl-2/metabolism ; Antineoplastic Combined Chemotherapy Protocols
Chemical Substances	Proto-Oncogene Proteins c-myc ; Proto-Oncogene Proteins c-bcl-2 ; BCL2 protein, human
Language	English
Publishing date	2024-01-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2210518-9
ISSN	1746-1596 ; 1746-1596
ISSN (online)	1746-1596
ISSN	1746-1596
DOI	10.1186/s13000-023-01425-6
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Article ; Online: Radiation-Induced Transformations of C

Lukianova, Mariia A / Sanochkina, Elizaveta V / Feldman, Vladimir I

The journal of physical chemistry. A

2019 Volume 123, Issue 25, Page(s) 5199–5205

Abstract: The radiation resistance of aromatic compounds is one of the key concepts of basic and applied radiation chemistry in condensed phases. Usually, it is attributed to the intrinsic radiation stability of the benzene ring. In this work, we have demonstrated ...

Abstract	The radiation resistance of aromatic compounds is one of the key concepts of basic and applied radiation chemistry in condensed phases. Usually, it is attributed to the intrinsic radiation stability of the benzene ring. In this work, we have demonstrated for the first time that the isolated benzene molecules undergo rather efficient radiation-induced degradation in rigid inert media at cryogenic temperatures (comparable to that of aliphatic hydrocarbons), and their stability is essentially determined by the intermolecular relaxation correlating with matrix polarizability. The principal primary products of benzene radiolysis in matrices are phenyl radicals and fulvene. The matrix environment strongly affects the proportion of these species because of external heavy atom effect on the intersystem crossing, which may trigger further reaction pathways. The obtained results may have important implications for the prediction of radiation stability of complex organic systems and polymers. Furthermore, they may contribute to a better understanding of the radiation-induced evolution of aromatic species in cold interstellar media.
Language	English
Publishing date	2019-06-12
Publishing country	United States
Document type	Journal Article
ISSN	1520-5215
ISSN (online)	1520-5215
DOI	10.1021/acs.jpca.9b01137
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Article ; Online: PROTEIN KINASE C ALPHA IS A CENTRAL NODE FOR TUMORIGENIC TRANSCRIPTIONAL NETWORKS IN HUMAN PROSTATE CANCER.

Cooke, Mariana / Zhang, Xuyao / Zhang, Suli / Eruslanov, Evgeniy / Lal, Priti / Daniel, Reba E / Feldman, Michael D / Abba, Martin C / Kazanietz, Marcelo G

Cancer research communications

2022 Volume 2, Issue 11, Page(s) 1372–1387

Abstract: Aberrant expression of protein kinase C (PKC) isozymes is a hallmark of cancer. The different ...

Abstract	Aberrant expression of protein kinase C (PKC) isozymes is a hallmark of cancer. The different members of the PKC family control cellular events associated with cancer development and progression. Whereas the classical/conventional PKCα isozyme has been linked to tumor suppression in most cancer types, here we demonstrate that this kinase is required for the mitogenic activity of aggressive human prostate cancer cells displaying aberrantly high PKCα expression. Immunohistochemical analysis showed abnormal up-regulation of PKCα in human primary prostate tumors. Interestingly, silencing PKCα expression from aggressive prostate cancer cells impairs cell cycle progression, proliferation and invasion, as well as their tumorigenic activity in a mouse xenograft model. Mechanistic analysis revealed that PKCα exerts a profound control of gene expression, particularly over genes and transcriptional networks associated with cell cycle progression and E2F transcription factors. PKCα RNAi depletion from PC3 prostate cancer cells led to a reduction in the expression of pro-inflammatory cytokine and epithelial-to-mesenchymal transition (EMT) genes, as well as a prominent down-regulation of the immune checkpoint ligand PD-L1. This PKCα-dependent gene expression profile was corroborated
MeSH term(s)	Male ; Humans ; Mice ; Animals ; Protein Kinase C-alpha/genetics ; Gene Regulatory Networks ; Protein Kinase C/genetics ; Cell Division ; Prostatic Neoplasms/genetics ; Isoenzymes/genetics
Chemical Substances	Protein Kinase C-alpha (EC 2.7.11.13) ; Protein Kinase C (EC 2.7.11.13) ; Isoenzymes
Language	English
Publishing date	2022-11-08
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ISSN	2767-9764
ISSN (online)	2767-9764
DOI	10.1158/2767-9764.crc-22-0170
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Article ; Online: Disparities in the quality of care for chronic hepatitis C among Medicare beneficiaries.

Tran, Linh / Jung, Jeah / Feldman, Roger / Riley, Thomas

PloS one

2022 Volume 17, Issue 3, Page(s) e0263913

Abstract: Purpose: Chronic hepatitis C virus (HCV) infection is an important public health concern. Limited ...

Abstract	Purpose: Chronic hepatitis C virus (HCV) infection is an important public health concern. Limited information exists on disparities in the quality of HCV care. We examine disparities in genotype or quantitative HCV ribonucleic acid testing before and after starting HCV treatment, and screening for hepatocellular carcinoma (HCC) in HCV patients with cirrhosis. Methods: This national study included Medicare beneficiaries with HCV between 2014 and 2017. We used bivariate probit to estimate the probability of receiving recommended tests before and after HCV treatment by patient race/ethnicity, urban/rural residence, and socioeconomic status. We used multivariate logistic regression to estimate adjusted odds ratios (aOR) of HCC screening among beneficiaries with cirrhosis by patient factors. Findings: Of 41,800 Medicare patients with HCV treatment, 93.47% and 84.99% received pre- and post-treatment testing. Patients in racial minority groups had lower probabilities of pre- and post-treatment testing than whites. Rural residents were less likely to receive a post-treatment test (Coef. = -0.06, 95% CI: -0.11, -0.01). Among HCV patients with cirrhosis, 40% (24,021) received at least one semi-annual HCC screening during the study period. The odds of HCC screening were 14% lower in rural than in urban patients (aOR = 0.86, 95% CI: 0.80, 0.92), lower in African Americans (aOR = 0.93, 95% CI: 0.90, 0.96), but higher among Hispanics than in whites (aOR = 1.09, 95% CI: 1.04, 1.15). There was no significant association between ZIP-level income or education and HCC screening. Conclusions: Disparities in the quality of HCV care existed by patient race/ethnicity, urban/rural residence, and socioeconomic status. Continued efforts are needed to improve the quality of care for all HCV patients-especially rural patients and racial/ethnic minorities.
MeSH term(s)	Aged ; Carcinoma, Hepatocellular/epidemiology ; Carcinoma, Hepatocellular/therapy ; Healthcare Disparities ; Hepatitis C, Chronic/epidemiology ; Humans ; Liver Cirrhosis/epidemiology ; Liver Neoplasms/epidemiology ; Liver Neoplasms/therapy ; Medicare ; Quality of Health Care ; United States/epidemiology
Language	English
Publishing date	2022-03-10
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0263913
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Article ; Online: Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C.

Feldman, Theodore C / Dienstag, Jules L / Mandl, Kenneth D / Tseng, Yi-Ju

International journal of medical informatics

2021 Volume 154, Page(s) 104562

Abstract: Introduction: Hepatitis C, which affects 71 million persons worldwide, is the most common ... Results: We identified 3943 cases with hepatitis C who received sofosbuvir/ledipasvir as the first course ... For distinguishing patients who received prolonged DAA treatment for hepatitis C from patients received standard ...

Abstract	Introduction: Hepatitis C, which affects 71 million persons worldwide, is the most common blood-borne pathogen in the United States. Chronic infections can be treated effectively thanks to the availability of modern direct-acting antiviral (DAA) therapies. Real-world data on the duration of DAA therapy, which can be used to optimize and guide the course of therapy, may also be useful in determining quality of life enhancements based upon total required supply of medication and long-term improvements to quality of life. We developed a machine learning model to identify patient characteristics associated with prolonged DAA treatment duration. Methods: A nationwide U.S. commercial managed care plan with claims data that covers about 60 million beneficiaries from 2009 to 2019 were used in the retrospective study. We examined differences in age, gender, and multiple comorbidities among patients treated with different durations of DAA treatment. We also examined the performance of machine learning models for predicting a prolonged course of DAA based on the area under the receiver operating characteristic curve (AUC). Results: We identified 3943 cases with hepatitis C who received sofosbuvir/ledipasvir as the first course of DAA and were eligible for the study. Patients receiving prolonged treatment (n = 240, 6.1%) were more likely to have compensated cirrhosis, decompensated cirrhosis, and other comorbidities (P < 0.001). For distinguishing patients who received prolonged DAA treatment for hepatitis C from patients received standard treatment, the optimal predictive model, constructed with XGBoost, had an AUC of 0.745 ± 0.031 (P < 0.001). Conclusions: The risk of antiviral resistance and the cost of DAA are strong motivators to ensure that first-round DAA therapy is effective. For the dominant DAA treatment during the course of this analysis, we present a model that identifies factors already captured in established guidelines and adds to those age, comorbidity burden, and type 2 diabetes status; patient characteristics that are predictive of extended treatment.
MeSH term(s)	Antiviral Agents/therapeutic use ; Diabetes Mellitus, Type 2/drug therapy ; Duration of Therapy ; Hepatitis C/drug therapy ; Hepatitis C, Chronic/drug therapy ; Humans ; Machine Learning ; Quality of Life ; Retrospective Studies ; United States/epidemiology
Chemical Substances	Antiviral Agents
Language	English
Publishing date	2021-08-26
Publishing country	Ireland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	1466296-6
ISSN	1872-8243 ; 1386-5056
ISSN (online)	1872-8243
ISSN	1386-5056
DOI	10.1016/j.ijmedinf.2021.104562
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Article ; Online: Use of Direct-Acting Antiviral Agents and Survival Among Medicare Beneficiaries with Dementia and Chronic Hepatitis C.

Tran, Linh / Jung, Jeah / Carlin, Caroline / Lee, Sunmin / Zhao, Chen / Feldman, Roger

Journal of Alzheimer's disease : JAD

2021 Volume 79, Issue 1, Page(s) 71–83

Abstract: ... hepatitis C due to the high prevalence of both conditions among elderly populations. Direct-acting ... antivirals (DAAs) are effective in treating hepatitis C virus (HCV). However, the complexity of ADRD care ...

Abstract	Background: Many patients with Alzheimer's disease and related dementia (ADRD) have chronic hepatitis C due to the high prevalence of both conditions among elderly populations. Direct-acting antivirals (DAAs) are effective in treating hepatitis C virus (HCV). However, the complexity of ADRD care may affect DAA use and outcomes among patients with HCV and ADRD. Little information exists on uptake of DAAs, factors associated with DAA use, and health benefits of DAAs among patients with HCV and ADRD. Objective: To examine use and survival benefits of DAAs in Medicare patients with HCV and ADRD. Methods: The study included Medicare patients with HCV between 2014 and 2017. We estimated Cox proportional hazards regressions to examine the association between having ADRD and DAA use, and the relation between DAA use and survival among patients with HCV and ADRD. Results: The adjusted hazard of initiating a DAA was 50% lower in patients with ADRD than those without ADRD (adjusted HR = 0.50, 95% CI: 0.46-0.54). The hazard of DAA use among ADRD patients with behavioral disturbances was 68% lower than non-ADRD patients (adjusted HR = 0.32, 95% CI: 0.28-0.37). DAA treatment was associated with a significant reduction in mortality among ADRD patients (adjusted HR = 0.52, 95% CI: 0.44-0.61). Conclusion: The rate of DAA treatment in patients with HCV and ADRD was low, particularly among those with behavioral disturbance. The survival benefits of DAA treatment for patients with ADRD were substantial.
MeSH term(s)	Aged ; Alzheimer Disease/complications ; Alzheimer Disease/epidemiology ; Alzheimer Disease/physiopathology ; Alzheimer Disease/psychology ; Antiviral Agents/therapeutic use ; Comorbidity ; Dementia/complications ; Dementia/epidemiology ; Dementia/physiopathology ; Dementia/psychology ; Female ; Hepatitis C, Chronic/drug therapy ; Hepatitis C, Chronic/epidemiology ; Humans ; Kaplan-Meier Estimate ; Male ; Medicare ; Middle Aged ; Mortality ; Practice Patterns, Physicians'/statistics & numerical data ; Problem Behavior ; Proportional Hazards Models ; United States
Chemical Substances	Antiviral Agents
Language	English
Publishing date	2021-01-19
Publishing country	Netherlands
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	1440127-7
ISSN	1875-8908 ; 1387-2877
ISSN (online)	1875-8908
ISSN	1387-2877
DOI	10.3233/JAD-200949
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Article ; Online: Discontinuation of new hepatitis C drugs among Medicare patients.

Jung, Jeah / Du, Ping / Feldman, Roger / Riley, Thomas

The American journal of managed care

2020 Volume 26, Issue 2, Page(s) 84–88

Abstract: Objectives: To examine factors associated with discontinuation of new hepatitis C drugs-second ... generation direct-acting antivirals (DAAs)-among Medicare beneficiaries with chronic hepatitis C.: Study ... patients with chronic hepatitis C in fee-for-service Medicare with Part D who initiated a DAA therapy ...

Abstract	Objectives: To examine factors associated with discontinuation of new hepatitis C drugs-second-generation direct-acting antivirals (DAAs)-among Medicare beneficiaries with chronic hepatitis C. Study design: A retrospective analysis using 2014-2016 Medicare claims. Methods: The study population was patients with chronic hepatitis C in fee-for-service Medicare with Part D who initiated a DAA therapy between January 1, 2014, and September 1, 2016. We defined discontinuation of DAA therapy as filling prescriptions for fewer weeks than the expected duration of the DAA identified. We estimated adjusted odds ratios (aORs) of DAA discontinuation by patient characteristics using multivariable logistic regression. We estimated the model separately for patients with a Part D low-income subsidy (LIS) and those without an LIS. Results: Of 82,056 patients who initiated a DAA therapy during the study period, 5171 (6.3%) did not complete the therapy. Discontinuation rates varied across DAAs, ranging from 4.7% (elbasvir/grazoprevir) to 11.8% (ombitasvir/paritaprevir/ritonavir/dasabuvir). Women with an LIS were more likely to discontinue DAA therapy than men with an LIS (aOR, 1.16; 95% CI, 1.08-1.25; P <.01). Non-LIS black and Hispanic patients had higher odds of discontinuation than non-LIS white patients (black: aOR, 1.49; 95% CI, 1.28-1.73; P <.01; Hispanic: aOR, 1.56; 95% CI, 1.01-2.44; P <.05). High comorbidity index score increased the odds of DAA discontinuation among patients with an LIS. Conclusions: Real-world discontinuation of DAA therapy was low, but it was 3 times more likely than in clinical trials and varied by patient characteristics. Efforts to increase DAA adherence would help lower patients' risk of developing resistance to future treatments and reduce potential waste of resources.
MeSH term(s)	Antiviral Agents/economics ; Antiviral Agents/therapeutic use ; Fee-for-Service Plans ; Female ; Hepatitis C, Chronic/drug therapy ; Hepatitis C, Chronic/economics ; Humans ; Insurance Benefits ; Male ; Medicare Part D ; Retrospective Studies ; Treatment Adherence and Compliance/statistics & numerical data ; United States
Chemical Substances	Antiviral Agents
Language	English
Publishing date	2020-02-13
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2035781-3
ISSN	1936-2692 ; 1088-0224 ; 1096-1860
ISSN (online)	1936-2692
ISSN	1088-0224 ; 1096-1860
DOI	10.37765/ajmc.2020.42397
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Article ; Online: Disentangling the impact of alcohol use and hepatitis C on insulin action in Latino individuals.

Kim, Rebecca G / Kramer-Feldman, Jonathan / Bacchetti, Peter / Grimes, Barbara / Burchard, Esteban / Eng, Celeste / Hu, Donglei / Hellerstein, Marc / Khalili, Mandana

Alcoholism, clinical and experimental research

2021 Volume 46, Issue 1, Page(s) 87–99

Abstract: Background: Alcohol, insulin resistance (IR), and hepatitis C (HCV) are all significant ...

Abstract	Background: Alcohol, insulin resistance (IR), and hepatitis C (HCV) are all significant contributors to adverse outcomes of chronic liver disease. Latinos are disproportionately affected by these risk factors. We investigated the relationship between alcohol use and insulin action in a prospective cohort of Latino individuals with and without HCV. Methods: One hundred fifty-three nondiabetic Latino individuals (60 HCV+, 93 HCV-) underwent clinical evaluation and metabolic testing; 56 had repeat testing over a median follow-up of 1.5 years. Peripheral IR and hepatic IR were measured via steady-state plasma glucose (SSPG) and endogenous glucose production during a two-step, 240-min insulin suppression test. Insulin secretion (IS) was measured using the graded glucose infusion test. Alcohol use was categorized as none, moderate (≤1 drink/day for women and ≤2 drinks/day for men), and heavy (>moderate). Multivariable models including HCV status assessed associations of alcohol use with baseline SSPG, hepatic IR and IS, and changes in these parameters over time. Results: Overall, the median age was 44 years, 63.4% were male, 66.7% overweight/ obese, and 31.9% had heavy lifetime alcohol use while 60.4% had moderate lifetime alcohol use. SSPG and IS were similar by levels of alcohol use at baseline and alcohol use was not statistically significantly associated with change in these measures over time. However, lifetime daily heavy alcohol use (vs. not heavy, coef 2.4 μU-mg/kg-min-ml, p = 0.04) and HCV status (coef 4.4 μU-mg/kg-min-ml, p = 0.0003) were independently associated with higher baseline hepatic IR, and current heavy alcohol use was associated with greater change in hepatic IR in follow-up (coef 5.8 μU-mg/kg-min-ml, p = 0.03). Conclusions: In this cohort of Latino individuals, lifetime and current heavy alcohol use influenced hepatic IR and its change over time. Strategies to decrease rates of heavy alcohol use or increase abstinence along with lifestyle modification and anti-HCV therapy to reduce metabolic risk are critical to prevent adverse liver and metabolic outcomes in Latino individuals.
MeSH term(s)	Adult ; Alcohol Drinking/adverse effects ; Cohort Studies ; Cytochrome P-450 CYP2E1/genetics ; Ethanol/administration & dosage ; Female ; Genotype ; Hepatitis C/complications ; Hepatitis C/physiopathology ; Hispanic or Latino/statistics & numerical data ; Humans ; Insulin/pharmacology ; Insulin Resistance/ethnology ; Insulin Secretion/physiology ; Liver/drug effects ; Liver/physiopathology ; Liver Diseases/epidemiology ; Male ; Middle Aged ; Prospective Studies
Chemical Substances	Insulin ; Ethanol (3K9958V90M) ; Cytochrome P-450 CYP2E1 (EC 1.14.13.-)
Language	English
Publishing date	2021-11-23
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	428999-7
ISSN	1530-0277 ; 0145-6008
ISSN (online)	1530-0277
ISSN	0145-6008
DOI	10.1111/acer.14743
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