Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mercy, Inbakumari"'
Autor:
Johannes W. Dietrich, Riddhi Dasgupta, Shajith Anoop, Felix Jebasingh, Mathews E. Kurian, Mercy Inbakumari, Bernhard O. Boehm, Nihal Thomas
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Modelling insulin-glucose homeostasis may provide novel functional insights. In particular, simple models are clinically useful if they yield diagnostic methods. Examples include the homeostasis model assessment (HOMA) and the quantitative i
Externí odkaz:
https://doaj.org/article/1df77cd608df4a5c94db768118ef7837
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 21, Iss 4, Pp 515-519 (2017)
Background: The accuracy of existing predictive equations to determine the resting energy expenditure (REE) of professional weightlifters remains scarcely studied. Our study aimed at assessing the REE of male Asian Indian weightlifters with indirect
Externí odkaz:
https://doaj.org/article/0ceb467e8949430583aa19e3cdc37249
Autor:
Mahesh Doddabelavangala Mruthyunjaya, Aaron Chapla, Asha Hesarghatta Shyamasunder, Deny Varghese, Manika Varshney, Johan Paul, Mercy Inbakumari, Flory Christina, Ron Thomas Varghese, Kurien Anil Kuruvilla, Thomas V Paul, Ruby Jose, Annie Regi, Jessie Lionel, L Jeyaseelan, Jiji Mathew, Nihal Thomas
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0168656 (2017)
Pregnant women with diabetes may have underlying beta cell dysfunction due to mutations/rare variants in genes associated with Maturity Onset Diabetes of the Young (MODY). MODY gene screening would reveal those women genetically predisposed and previ
Externí odkaz:
https://doaj.org/article/fac9bf6481ad4257b00e12f90d5f0c2f
Autor:
Eric Lontchi-Yimagou, Riddhi Dasgupta, Shajith Anoop, Sylvia Kehlenbrink, Sudha Koppaka, Akankasha Goyal, Padmanaban Venkatesan, Roshan Livingstone, Kenny Ye, Aaron Chapla, Michelle Carey, Arun Jose, Grace Rebekah, Anneka Wickramanayake, Mini Joseph, Priyanka Mathias, Anjali Manavalan, Mathews Edatharayil Kurian, Mercy Inbakumari, Flory Christina, Daniel Stein, Nihal Thomas, Meredith Hawkins
OBJECTIVEDiabetes among individuals with low BMI (60 years as a prevalent entity in low- and middle-income countries (LMICs) and was formally classified as “malnutrition-related diabetes mellitus” by the World Health Organization (WHO) in 1985. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1b78191aa454b2f65e5893cf2d2dc0e
https://doi.org/10.2337/figshare.19491377
https://doi.org/10.2337/figshare.19491377
Autor:
Shajith Anoop, Riddhi Dasgupta, Mathews Edatharayil Kurian, Geethanjali Finney, Mercy Inbakumari, Nihal Thomas, Prasanna Samuel
Publikováno v:
Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 13:738-742
To validate bioimpedance based predictive equations for fat free mass (FFM) against DEXA and to derive a novel birth weight based predictive equation for FFM in a birth weight based cohort of healthy Asian Indian men.Whole body composition was done u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df3685ec9bf128a3e20788eb75fe7a4d
https://doi.org/10.1016/j.dsx.2018.11.070
https://doi.org/10.1016/j.dsx.2018.11.070
Autor:
Grace Rebekah, Joy Moy, Flory Christina, Arun Jose, Daniel T. Stein, Mathews Edatharayil Kurian, Mercy Inbakumari, Anjali Manavalan, Michelle Carey, Padmanaban Venkatesan, Anneka Wickramanayake, Nihal Thomas, Aaron Chapla, Shajith Anoop, Riddhi Dasgupta, Sudha Koppaka, Priyanka Mathias, Sylvia Kehlenbrink, Roshan Livingstone, Meredith Hawkins, Mini Joseph, Akankasha Goyal, Eric Lontchi-Yimagou
Publikováno v:
SSRN Electronic Journal.
Background: Diabetes among low BMI individuals has been recognized for over 60 years as an entity that is prevalent in low- and middle-income countries (LMICs), and formally classified as Malnutrition-Related Diabetes Mellitus by the World Health Org
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::534b09b12f9dc5073f9cb1b2efb5963d
https://doi.org/10.2139/ssrn.3898508
https://doi.org/10.2139/ssrn.3898508
Autor:
Geethanjali Finney, Shajith Anoop S, Grace Rebekah, Nihal Thomas, Arun Jose, Riddhi Dasgupta, Mercy Inbakumari
Publikováno v:
BMJ Open Diabetes Research & Care
BMJ Open Diabetes Research & Care, Vol 9, Iss 1 (2021)
BMJ Open Diabetes Research & Care, Vol 9, Iss 1 (2021)
IntroductionWe aimed to compare the predictive accuracy of surrogate indices namely the lipid accumulation product (LAP) index, homeostatic model of assessment of insulin resistance (HOMA-IR), fasting glucose-insulin ratio (FG-IR) and the quantitativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46323a3b40c6bb72dac8352920ab55d9
https://doi.org/10.1136/bmjdrc-2021-002414
https://doi.org/10.1136/bmjdrc-2021-002414
Autor:
Jessie Lionel, Asha Hesarghatta Shyamasunder, Dukhabandhu Naik, Mercy Inbakumari, Annie Regi, Nihal Thomas, Ruby Jose, Rita Gupta Patil, Flory Christina, Thomas V Paul, Mahesh Doddabelavangala Mruthyunjaya, P. Visalakshi Jeyaseelan
Publikováno v:
Journal of Diabetes. 9:778-786
Background and objective Hypoglycemia is a major hindrance for optimal glycemic control in women with gestational diabetes mellitus[GDM] on insulin. We objectively estimated masked hypoglycemia [glucose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f01f9379f15f5fe41a9896ff0643cbe
https://doi.org/10.1111/1753-0407.12485
https://doi.org/10.1111/1753-0407.12485
Autor:
Nihal Thomas, Geethanjali Finney, Shajith Anoop, Riddhi Dasgupta, Padmanaban Venkatesan, Mercy Inbakumari
Publikováno v:
Diabetesmetabolic syndrome. 13(1)
To evaluate the predictive accuracy of surrogate measures of fasting insulin resistance/sensitivity like the Homeostasis model assessment for insulin resistance (HOMA -IR), Fasting glucose/insulin ratio (FG-IR), Quantitative insulin sensitivity check
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1e025699e5a376e0f492cef04b5ba02
https://pubmed.ncbi.nlm.nih.gov/30641804
https://pubmed.ncbi.nlm.nih.gov/30641804
Autor:
Louise G. Grunnet, Nigel Thomas, K. Westgate, Ib C. Bygbjerg, Venkataraghava R. Mohan, P. Mogensen, Soren Brage, C. Madsen, Dirk L. Christensen, F. S. Geetanjali, S. V. Nadig, A. Vaag, Reginald Alex, Mercy Inbakumari
Publikováno v:
Journal of Developmental Origins of Health and Disease. 6:27-37
Physical inactivity and low birth weight (LBW) may lead to an increased risk for developing type 2 diabetes. The extent to which LBW individuals may benefit from physical exercise training when compared with those with normal birth weight (NBW) contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9faf4864cf716ccff6ac3ca41d04c25f
https://doi.org/10.1017/s2040174414000609
https://doi.org/10.1017/s2040174414000609