Medicine and Health Sciences Commons^™

The Classification Of Obesity Based On Metabolic Status Redefines The Readmission Of Non-Hodgkin’S Lymphoma-An Observational Study, Hang Dong, Honglin Guo, Jing Du, Yiping Cheng, Dawei Wang, Junming Han, Zinuo Yuan, Zhenyu Yao, Ran An, Xiaoqin Wu, Kyle L Poulsen, Zhixiang Wang, Shanshan Shao, Xiude Fan, Zhen Wang, Jiajun Zhao

Journal Articles

BACKGROUND: The relationship between obesity and non-Hodgkin's lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obesity based on metabolic status can help to evaluate the real impact of obesity on the readmission of NHL.

METHODS: In this retrospective cohort study, utilizing the 2018 Nationwide Readmissions Database, we identified NHL-related index hospitalizations and followed them for non-elective readmission. The patients with NHL were classified as metabolically healthy non-obese (MHNO) and obese (MHO) and metabolically …

Type 2 Diabetes Modifies The Association Of Cad Genomic Risk Variants With Subclinical Atherosclerosis, Natalie R Hasbani, Kenneth E Westerman, Soo Heon Kwak, Han Chen, Xihao Li, Daniel Di Corpo, Jennifer Wessel, Joshua C Bis, Chloè Sarnowski, Peitao Wu, Lawrence F Bielak, Xiuqing Guo, Nancy Heard-Costa, Gregory L Kinney, Michael C Mahaney, May E Montasser, Nicholette D Palmer, Laura M Raffield, James G Terry, Lisa R Yanek, Jessica Bon, Donald W Bowden, Jennifer A Brody, Ravindranath Duggirala, David R Jacobs, Rita R Kalyani, Leslie A Lange, Braxton D Mitchell, Jennifer A Smith, Kent D Taylor, April P Carson, Joanne E Curran, Myriam Fornage, Barry I Freedman, Stacey Gabriel, Richard A Gibbs, Namrata Gupta, Sharon L R Kardia, Brian G Kral, Zeineen Momin, Anne B Newman, Wendy S Post, Karine A Viaud-Martinez, Kendra A Young, Lewis C Becker, Alain G Bertoni, John Blangero, John J Carr, Katherine Pratte, Bruce M Psaty, Stephen S Rich, Joseph C Wu, Rajeev Malhotra, Patricia A Peyser, Alanna C Morrison, Ramachandran S Vasan, Xihong Lin, Jerome I Rotter, James B Meigs, Alisa K Manning, Paul S De Vries

Journal Articles

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 …

Ascertainment Of Minimal Clinically Important Differences In The Diabetes Distress Scale-17: A Secondary Analysis Of A Randomized Clinical Trial, Jack Banks, Amber B Amspoker, Elizabeth M Vaughan, Lechauncy Woodard, Aanand D Naik

Journal Articles

IMPORTANCE: The Diabetes Distress Scale-17 (DDS-17) is a common measure of diabetes distress. Despite its popularity, there are no agreed-on minimal clinically important difference (MCID) values for the DDS-17.

OBJECTIVE: to establish a distribution-based metric for MCID in the DDS-17 and its 4 subscale scores (interpersonal distress, physician distress, regimen distress, and emotional distress).

DESIGN, SETTING, AND PARTICIPANTS: This secondary analysis of a randomized clinical trial used baseline and postintervention data from a hybrid (implementation-effectiveness) trial evaluating Empowering Patients in Chronic Care (EPICC) vs an enhanced form of usual care (EUC). Participants included adults with uncontrolled type 2 diabetes (glycated …

Food Insecurity Increases Risk Of Depression And Anxiety Among Women In Senegal Living With Diabetes And/Or Hypertension, Rachel P Allred, Ndèye Aminata Mbaye, Fatoumata Diagne, Sheryl A Mccurdy, Melissa B Harrell, Emma Nelson Bunkley

Journal Articles

Food insecurity affects close to half the population of Senegal, West Africa, a country simultaneously affected by the ongoing global diabetes pandemic. Diabetes and food insecurity are associated with adverse mental health, yet research exploring the relationship between chronic physical illness, food insecurity, and mental illness in Senegal is currently lacking. The objective of this study was to investigate the association between food insecurity and depression and anxiety, separately, in Senegalese women living with diabetes and hypertension. Food insecurity was measured using the Household Food Insecurity Access Scale. Occurrence of depression and anxiety symptoms was assessed using the Modified Hopkins …

Determining Call-To-Entry Rate And Recruitment Barriers In Clinical Studies For Community Clinics Serving Low-Income Populations: A Cohort Study, Elizabeth M Vaughan, Salim Virani, Mahmoud Al Rifai, Victor J Cardenas, Craig A Johnston, Laura Porterfield, Zuleica Santiago Delgado, Susan L Samson, Vanessa Schick, Aanand D Naik

Journal Articles

BACKGROUND: Recruitment for clinical studies is challenging. to overcome barriers, investigators have previously established call-to-entry rates to assist in planning. However, rates specific to low-income minority populations are needed to account for additional barriers to enrolment these individuals face.

OBJECTIVE: to obtain a call-to-entry rate in a low-income uninsured Hispanic population with chronic disease.

METHODS: We used data from four of our randomised clinical studies to determine the call-to-entry rate for individuals (n=1075) with or at risk for type 2 diabetes: participants needed/potential participants contacted=recruitment rate (yield). Research staff contacted potential participants to enrol in a study that evaluated 6 …

Medical Imaging Applications Of Federated Learning, Sukhveer Singh Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, Kouhyar Tavakolian, Alireza Akhbardeh

Journal Articles

Since its introduction in 2016, researchers have applied the idea of Federated Learning (FL) to several domains ranging from edge computing to banking. The technique's inherent security benefits, privacy-preserving capabilities, ease of scalability, and ability to transcend data biases have motivated researchers to use this tool on healthcare datasets. While several reviews exist detailing FL and its applications, this review focuses solely on the different applications of FL to medical imaging datasets, grouping applications by diseases, modality, and/or part of the body. This Systematic Literature review was conducted by querying and consolidating results from ArXiv, IEEE Xplorer, and PubMed. Furthermore, …

Association Of Atherosclerotic Cardiovascular Disease, Hypertension, Diabetes, And Hyperlipidemia With Gulf War Illness Among Gulf War Veterans, Sarah T Ahmed, Ruosha Li, Peter Richardson, Saurendro Ghosh, Lea Steele, Donna L White, Alice Nono Djotsa, Kellie Sims, Elizabeth Gifford, Elizabeth R Hauser, Salim S Virani, Robert Morgan, George Delclos, Drew A Helmer

Journal Articles

BACKGROUND: Approximately 30% of the 700 000 Gulf War veterans report a chronic symptom-based illness of varying severity referred to as Gulf War illness (GWI). toxic deployment-related exposures have been implicated in the cause of GWI, some of which contribute to metabolic dysregulation and lipid abnormalities. As this cohort ages, the relationship between GWI and atherosclerotic cardiovascular disease (ASCVD) is a growing concern. We evaluated associations between GWI and ASCVD, diabetes, hyperlipidemia, and hypertension in veterans of the Gulf War (1990-1991).

METHODS AND RESULTS: Analysis of survey data collected in 2014 to 2016 from a national sample of deployed Gulf …

Lowering Of Circulating Sclerostin May Increase Risk Of Atherosclerosis And Its Risk Factors: Evidence From A Genome-Wide Association Meta-Analysis Followed By Mendelian Randomization, Jie Zheng, Eleanor Wheeler, Maik Pietzner, Till F M Andlauer, Michelle S Yau, April E Hartley, Ben Michael Brumpton, Humaira Rasheed, John P Kemp, Monika Frysz, Jamie Robinson, Sjur Reppe, Vid Prijatelj, Kaare M Gautvik, Louise Falk, Winfried Maerz, Ingrid Gergei, Patricia A Peyser, Maryam Kavousi, Paul S De Vries, Clint L Miller, Maxime Bos, Sander W Van Der Laan, Rajeev Malhotra, Markus Herrmann, Hubert Scharnagl, Marcus Kleber, George Dedoussis, Eleftheria Zeggini, Maria Nethander, Claes Ohlsson, Mattias Lorentzon, Nick Wareham, Claudia Langenberg, Michael V Holmes, George Davey Smith, Jonathan H Tobias

Journal Articles

OBJECTIVE: In this study, we aimed to establish the causal effects of lowering sclerostin, target of the antiosteoporosis drug romosozumab, on atherosclerosis and its risk factors.

METHODS: A genome-wide association study meta-analysis was performed of circulating sclerostin levels in 33,961 European individuals. Mendelian randomization (MR) was used to predict the causal effects of sclerostin lowering on 15 atherosclerosis-related diseases and risk factors.

RESULTS: We found that 18 conditionally independent variants were associated with circulating sclerostin. Of these, 1 cis signal in SOST and 3 trans signals in B4GALNT3, RIN3, and SERPINA1 regions showed directionally opposite signals for sclerostin levels and …

Diabetes Risk During Pregnancy Among Second-Generation Immigrants: A National Cohort Study In Sweden, Per Wändell, Xinjun Li, Nouha Saleh Stattin, Axel C Carlsson, Jan Sundquist, Casey Crump, Kristina Sundquist

Journal Articles

BACKGROUND AND AIMS: Gestational diabetes is more common in many first-generation immigrant women in Europe and other Western countries. Less is known about second-generation immigrant women; such knowledge is needed to understand generational influences on diabetes risk. We aimed to study second-generation immigrant women regarding the presence of all types of diabetes during pregnancy.

METHODS AND RESULTS: A cohort study was conducted using the Swedish National Birth Register, the National Patient Register, and the total Population Register. We used Cox regression analysis to compute hazard ratios (HRs) and 99% confidence intervals (99% CI) for any diabetes during pregnancy and specific …

Efficacy Of Scrambler Therapy In Patients With Painful Diabetic Peripheral Neuropathy: A Single-Arm, Prospective, Pilot Study, Seung Hee Yoo, Won-Joong Kim, Ji Seon Chae, Bo Kyung Kang, Min Jeong Kang, Min Hyouk Beak

Journal Articles

BACKGROUND: A variety of medications are available to manage painful diabetic peripheral neuropathy (DPN), but the proper treatment remains challenging. Accordingly, various neuromodulation modalities have been used. However, no prospective clinical trials have evaluated the use of scrambler therapy (ST) in painful DPN. This study aimed to explore the long-term effects of ST in managing painful DPN.

METHODS: The patients received 10 consecutive STs of 45 minutes every 1 to 2 days. The primary outcome was pain score. We measured the visual analog scale (VAS) pain scores at baseline, during ST, immediately after ST, and at 1, 2, 3, and …

Arsenic Metabolism, Diabetes Prevalence, And Insulin Resistance Among Mexican Americans: A Mendelian Randomization Approach, Margaret C Weiss, Yu-Hsuan Shih, Molly Scannell Bryan, Brian P Jackson, David Aguilar, Eric L Brown, Goo Jun, Craig L Hanis, Maria Argos, Robert M Sargis

Journal Articles

BACKGROUND: Differences in arsenic metabolism capacity may influence risk for type 2 diabetes, but the mechanistic drivers are unclear. We evaluated the associations between arsenic metabolism with overall diabetes prevalence and with static and dynamic measures of insulin resistance among Mexican Americans living in Starr County, Texas.

METHODS: We utilized data from cross-sectional studies conducted in Starr County, Texas, from 2010-2014. A Mendelian randomization approach was utilized to evaluate the associations between arsenic metabolism and type 2 diabetes prevalence using the intronic variant in the arsenic methylating gene, rs9527, as the instrumental variable for arsenic metabolism. to further assess mechanisms …

Arsenic Metabolism, Diabetes Prevalence, And Insulin Resistance Among Mexican Americans: A Mendelian Randomization Approach, Margaret C Weiss, Yu-Hsuan Shih, Molly Scannell Bryan, Brian P Jackson, David Aguilar, Eric L Brown, Goo Jun, Craig L Hanis, Maria Argos, Robert M Sargis

Journal Articles

BACKGROUND: Differences in arsenic metabolism capacity may influence risk for type 2 diabetes, but the mechanistic drivers are unclear. We evaluated the associations between arsenic metabolism with overall diabetes prevalence and with static and dynamic measures of insulin resistance among Mexican Americans living in Starr County, Texas.

METHODS: We utilized data from cross-sectional studies conducted in Starr County, Texas, from 2010-2014. A Mendelian randomization approach was utilized to evaluate the associations between arsenic metabolism and type 2 diabetes prevalence using the intronic variant in the arsenic methylating gene, rs9527, as the instrumental variable for arsenic metabolism. to further assess mechanisms …

Genome-Wide Association Analysis Identifies Ancestry-Specific Genetic Variation Associated With Acute Response To Metformin And Glipizide In Sugar-Mgh, Josephine H Li, Laura N Brenner, Varinderpal Kaur, Katherine Figueroa, Philip Schroeder, Alicia Huerta-Chagoya, Miriam S Udler, Aaron Leong, Josep M Mercader, Jose C Florez

Journal Articles

AIMS/HYPOTHESIS: Characterisation of genetic variation that influences the response to glucose-lowering medications is instrumental to precision medicine for treatment of type 2 diabetes. The Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH) examined the acute response to metformin and glipizide in order to identify new pharmacogenetic associations for the response to common glucose-lowering medications in individuals at risk of type 2 diabetes.

METHODS: One thousand participants at risk for type 2 diabetes from diverse ancestries underwent sequential glipizide and metformin challenges. A genome-wide association study was performed using the Illumina Multi-Ethnic Genotyping …

Ndufs4 Regulates Cristae Remodeling In Diabetic Kidney Disease, Koki Mise, Jianyin Long, Daniel L Galvan, Zengchun Ye, Guizhen Fan, Irina I Serysheva, Travis I Moore, Jun Wada, Paul T Schumacker, Benny H Chang, Farhad R Danesh

Journal Articles

The mitochondrial electron transport chain (ETC) is a highly adaptive process to meet metabolic demands of the cell, and its dysregulation has been associated with diverse clinical pathologies. However, the role and nature of impaired ETC in kidney diseases remains poorly understood. Here, we generated diabetic mice with podocyte-specific overexpression of Ndufs4, an accessory subunit of mitochondrial complex I, as a model to investigate the role of ETC integrity in diabetic kidney disease (DKD). We find that these conditional mice exhibit significant improvements in cristae morphology, mitochondrial dynamics, and albuminuria. By coupling proximity labeling with super-resolution imaging, we also identify …

Transmembrane Stem Factor Nanodiscs Enhanced Revascularization In A Hind Limb Ischemia Model In Diabetic, Hyperlipidemic Rabbits, Eri Takematsu, Miles Massidda, Gretchen Howe, Julia Goldman, Patricia Felli, Lei Mei, Gregory Callahan, Andrew Sligar, Richard Smalling, Aaron Baker

Journal Articles

Therapies to revascularize ischemic tissue have long been a goal for the treatment of vascular disease and other disorders. Therapies using stem cell factor (SCF), also known as a c-Kit ligand, had great promise for treating ischemia for myocardial infarct and stroke, however clinical development for SCF was stopped due to toxic side effects including mast cell activation in patients. We recently developed a novel therapy using a transmembrane form of SCF (tmSCF) delivered in lipid nanodiscs. In previous studies, we demonstrated tmSCF nanodiscs were able to induce revascularization of ischemia limbs in mice and did not activate mast cells. …

The Effects Of Gender And Country Of Origin On Acculturation, Psychological Factors, Lifestyle Factors, And Diabetes-Related Physiological Outcomes Among Mexican Americans: The Starr County Diabetes Prevention Initiative, Sharon A Brown, Heather A Becker, Alexandra A García, Mary M Velasquez, Hirofumi Tanaka, Mary A Winter, William B Perkison, Eric L Brown, David Aguilar, Craig L Hanis

Journal Articles

OBJECTIVES: Examine acculturation and psychological, lifestyle, and physiological factors based on gender and country of origin (U.S. vs. Mexico).

METHODS: Baseline data from the Starr County diabetes prevention study (

RESULTS: Participants were: predominantly female (73%); 51 years of age, on average; born in Mexico (71%); and Spanish-speaking. Individuals spent 11 of their waking hours (range = 0-18 h) in sedentary activities. Compared to females, more males spoke English and reported fewer hours in sedentary activities. Compared to participants born in Mexico, those born in the U.S. were more likely to: speak English; report depressive symptoms; and exhibit elevated BMI …

Clinical Consensus Guideline On The Management Of Phaeochromocytoma And Paraganglioma In Patients Harbouring Germline Sdhd Pathogenic Variants, David Taïeb, George B Wanna, Maleeha Ahmad, Charlotte Lussey-Lepoutre, Nancy D Perrier, Svenja Nölting, Laurence Amar, Henri J L M Timmers, Zachary G Schwam, Anthony L Estrera, Michael Lim, Erqi Liu Pollom, Lucas Vitzthum, Isabelle Bourdeau, Ruth T Casey, Frédéric Castinetti, Roderick Clifton-Bligh, Eleonora P M Corssmit, Ronald R De Krijger, Jaydira Del Rivero, Graeme Eisenhofer, Hans K Ghayee, Anne-Paule Gimenez-Roqueplo, Ashley Grossman, Alessio Imperiale, Jeroen C Jansen, Abhishek Jha, Michiel N Kerstens, Henricus P M Kunst, James K Liu, Eamonn R Maher, Daniele Marchioni, Leilani B Mercado-Asis, Ozgur Mete, Mitsuhide Naruse, Naris Nilubol, Neeta Pandit-Taskar, Frédéric Sebag, Akiyo Tanabe, Jiri Widimsky, Leah Meuter, Jacques W M Lenders, Karel Pacak

Journal Articles

Patients with germline SDHD pathogenic variants (encoding succinate dehydrogenase subunit D; ie, paraganglioma 1 syndrome) are predominantly affected by head and neck paragangliomas, which, in almost 20% of patients, might coexist with paragangliomas arising from other locations (eg, adrenal medulla, para-aortic, cardiac or thoracic, and pelvic). Given the higher risk of tumour multifocality and bilaterality for phaeochromocytomas and paragangliomas (PPGLs) because of SDHD pathogenic variants than for their sporadic and other genotypic counterparts, the management of patients with SDHD PPGLs is clinically complex in terms of imaging, treatment, and management options. Furthermore, locally aggressive disease can be discovered at a …

The Type 2 Diabetes Knowledge Portal: An Open Access Genetic Resource Dedicated To Type 2 Diabetes And Related Traits, Maria C Costanzo, Marcin Von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer, Clint Gilbert, Ryan P Welch, Parul Kudtarkar, Quy Hoang, Andrew P Boughton, Preeti Singh, Ying Sun, Marc Duby, Annie Moriondo, Trang Nguyen, Patrick Smadbeck, Benjamin R Alexander, Mackenzie Brandes, Mary Carmichael, Peter Dornbos, Todd Green, Kenneth C Huellas-Bruskiewicz, Yue Ji, Alexandria Kluge, Aoife C Mcmahon, Josep M Mercader, Oliver Ruebenacker, Sebanti Sengupta, Dylan Spalding, Daniel Taliun, Philip Smith, Melissa K Thomas, Beena Akolkar, M Julia Brosnan, Andriy Cherkas, Audrey Y Chu, Eric B Fauman, Caroline S Fox, Tania Nayak Kamphaus, Melissa R Miller, Lynette Nguyen, Afshin Parsa, Dermot F Reilly, Hartmut Ruetten, David Wholley, Norann A Zaghloul, Gonçalo R Abecasis, David Altshuler, Thomas M Keane, Mark I Mccarthy, Kyle J Gaulton, Jose C Florez, Michael Boehnke, Noël P Burtt, Jason Flannick

Journal Articles

Associations between human genetic variation and clinical phenotypes have become a foundation of biomedical research. Most repositories of these data seek to be disease-agnostic and therefore lack disease-focused views. The Type 2 Diabetes Knowledge Portal (T2DKP) is a public resource of genetic datasets and genomic annotations dedicated to type 2 diabetes (T2D) and related traits. Here, we seek to make the T2DKP more accessible to prospective users and more useful to existing users. First, we evaluate the T2DKP's comprehensiveness by comparing its datasets with those of other repositories. Second, we describe how researchers unfamiliar with human genetic data can begin …

The Effects Of Obesity And Metabolic Abnormalities On Severe Covid-19-Related Outcomes After Vaccination: A Population-Based Study, Xiude Fan, Junming Han, Enfa Zhao, Jiansong Fang, Dawei Wang, Yiping Cheng, Yingzhou Shi, Zhen Wang, Zhenyu Yao, Peng Lu, Tianbao Liu, Qihang Li, Kyle L Poulsen, Zhongshang Yuan, Yongfeng Song, Jiajun Zhao

Journal Articles

Breakthrough SARS-CoV-2 infections of vaccinated individuals are being reported globally, resulting in an increased risk of hospitalization and death among such patients. Therefore, it is crucial to identify the modifiable risk factors that may affect the protective efficacy of vaccine use against the development of severe COVID-19 and thus to initiate early medical interventions. Here, in population-based studies using the UK Biobank database and the 2021 National Health Interview Survey (NHIS), we analyzed 20,362 participants aged 50 years or older and 2,588 aged 18 years or older from both databases who tested positive for SARS-COV-2, of whom 33.1% and 67.7% …

Acculturation, Dietary Behaviors, And Macronutrient Intake Among Mexican Americans With Prediabetes: The Starr County Diabetes Prevention Initiative, Sharon A Brown, Heather A Becker, Alexandra A García, Mary M Velasquez, Hirofumi Tanaka, Mary A Winter, William B Perkison, Eric L Brown, David Aguilar, Craig L Hanis

Journal Articles

PURPOSE: The purpose of the study was to examine the influences of sex and acculturation on dietary behaviors, macronutrient intake, and dietary quality in participants enrolled in a diabetes prevention initiative in Starr County, Texas.

METHODS: Baseline data from the Starr County diabetes prevention study (N = 300) were analyzed-acculturation (country of origin, years in Starr County, language and food preferences), depressive symptoms (Patient Health Questionnaire-9), healthy eating self-efficacy (Weight Efficacy Lifestyle Questionnaire-Short Form), diet quality (USDA Healthy Eating Index), fat avoidance (Fat Avoidance Scale, Spanish version), and macronutrients. Descriptive statistics and univariate analysis of covariance were used to examine …

Relationships Between Urinary Metals And Diabetes Traits Among Mexican Americans In Starr County, Texas, Usa, Margaret C Weiss, Yu-Hsuan Shih, Molly Scannell Bryan, Brian P Jackson, David Aguilar, Craig L Hanis, Maria Argos, Robert M Sargis

Journal Articles

Hispanics/Latinos have higher rates of type 2 diabetes (T2D), and the origins of these disparities are poorly understood. Environmental endocrine-disrupting chemicals (EDCs), including some metals and metalloids, are implicated as diabetes risk factors. Data indicate that Hispanics/Latinos may be disproportionately exposed to EDCs, yet they remain understudied with respect to environmental exposures and diabetes. The objective of this study is to determine how metal exposures contribute to T2D progression by evaluating the associations between 8 urinary metals and measures of glycemic status in 414 normoglycemic or prediabetic adults living in Starr County, Texas, a Hispanic/Latino community with high rates of …

Automated Type 2 Diabetes Case And Control Identification From The Mimic-Iv Database, Wanheng Zhang, Tru Cao

Journal Articles

Phenotyping for Type 2 Diabetes (T2DM) is needed due to the increasing demand for T2DM research on electronic health records (EHRs). eMERGE is a reliable and interpretable rule-based algorithm for the identification of T2DM cases and controls in EHRs. MIMIC-IV, an extension of MIMIC-III, contains more than 520,000 hospital admissions and has become a valuable EHR database for secondary medical research. However, there was no prior work to extract T2DM cases and controls from MIMIC-IV, which requires a comprehensive knowledge of the database. Our work provided insight into the structure and data elements in MIMIC-IV and adapted eMERGE to accomplish …

Effect Of "Maccog" Tcm Tea On Improving Glucolipid Metabolism And Gut Microbiota In Patients With Type 2 Diabetes In Community, Biyue Hu, Tongtong Yin, Jiajia Zhang, Minjing Liu, Hang Yun, Jian Wang, Renmei Guo, Jie Huang, Yixia Zhou, Hongyan Meng, Li Wang

Journal Articles

OBJECTIVES: This work aimed to observe the effect of consuming Chinese herb tea on glucolipid metabolism and gut microbiota in patients with type 2 diabetes mellitus (T2DM).

METHODS: Ninety patients with T2DM were recruited from a community and randomly divided into the control group (CG) and intervention group (IG). CG maintained conventional treatment and lifestyle, and IG accepted additional "maccog" traditional Chinese medicine (TCM) tea (mulberry leaf, radix astragali, corn stigma, cortex lycii, radix ophiopogonis, and gynostemma) for 12 weeks. Glucolipid metabolism, hepatorenal function, and gut microbiota were then measured.

RESULTS: After the intervention, the decreases in fasting plasma glucose …