RESUMO
Human gut microbiome composition is shaped by multiple factors but the relative contribution of host genetics remains elusive. Here we examine genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment, and demonstrate that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition. We show that, by contrast, there are significant similarities in the compositions of the microbiomes of genetically unrelated individuals who share a household, and that over 20% of the inter-person microbiome variability is associated with factors related to diet, drugs and anthropometric measurements. We further demonstrate that microbiome data significantly improve the prediction accuracy for many human traits, such as glucose and obesity measures, compared to models that use only host genetic and environmental data. These results suggest that microbiome alterations aimed at improving clinical outcomes may be carried out across diverse genetic backgrounds.
Assuntos
Dieta/estatística & dados numéricos , Meio Ambiente , Características da Família , Microbioma Gastrointestinal/genética , Estilo de Vida , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Feminino , Interação Gene-Ambiente , Glucose/metabolismo , Voluntários Saudáveis , Hereditariedade/genética , Humanos , Israel , Masculino , Pessoa de Meia-Idade , Obesidade/metabolismo , Fenótipo , Polimorfismo de Nucleotídeo Único/genética , RNA Bacteriano/análise , RNA Bacteriano/genética , RNA Ribossômico 16S/análise , Reprodutibilidade dos Testes , Estudos em Gêmeos como Assunto , Gêmeos/genética , Adulto JovemRESUMO
OBJECTIVE: To explore the interplay between dietary modifications, microbiome composition and host metabolic responses in a dietary intervention setting of a personalised postprandial-targeting (PPT) diet versus a Mediterranean (MED) diet in pre-diabetes. DESIGN: In a 6-month dietary intervention, adults with pre-diabetes were randomly assigned to follow an MED or PPT diet (based on a machine-learning algorithm for predicting postprandial glucose responses). Data collected at baseline and 6 months from 200 participants who completed the intervention included: dietary data from self-recorded logging using a smartphone application, gut microbiome data from shotgun metagenomics sequencing of faecal samples, and clinical data from continuous glucose monitoring, blood biomarkers and anthropometrics. RESULTS: PPT diet induced more prominent changes to the gut microbiome composition, compared with MED diet, consistent with overall greater dietary modifications observed. Particularly, microbiome alpha-diversity increased significantly in PPT (p=0.007) but not in MED arm (p=0.18). Post hoc analysis of changes in multiple dietary features, including food-categories, nutrients and PPT-adherence score across the cohort, demonstrated significant associations between specific dietary changes and species-level changes in microbiome composition. Furthermore, using causal mediation analysis we detect nine microbial species that partially mediate the association between specific dietary changes and clinical outcomes, including three species (from Bacteroidales, Lachnospiraceae, Oscillospirales orders) that mediate the association between PPT-adherence score and clinical outcomes of hemoglobin A1c (HbA1c), high-density lipoprotein cholesterol (HDL-C) and triglycerides. Finally, using machine-learning models trained on dietary changes and baseline clinical data, we predict personalised metabolic responses to dietary modifications and assess features importance for clinical improvement in cardiometabolic markers of blood lipids, glycaemic control and body weight. CONCLUSIONS: Our findings support the role of gut microbiome in modulating the effects of dietary modifications on cardiometabolic outcomes, and advance the concept of precision nutrition strategies for reducing comorbidities in pre-diabetes. TRIAL REGISTRATION NUMBER: NCT03222791.
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Doenças Cardiovasculares , Dieta Mediterrânea , Microbioma Gastrointestinal , Estado Pré-Diabético , Adulto , Humanos , Automonitorização da Glicemia , Glicemia/metabolismo , DietaRESUMO
This multicenter, cross-sectional study provides evidence on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-associated emergency department visits and hospitalizations in pediatric wards and intensive care units after school reopening during the SARS-CoV-2 Alpha (B.1.1.7) variant spread in Israel. Study findings suggest that school reopening was not followed by an increase in SARS-CoV-2-related pediatric morbidity.
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COVID-19 , SARS-CoV-2 , COVID-19/epidemiologia , Criança , Estudos Transversais , Hospitalização , Humanos , Israel/epidemiologia , SARS-CoV-2/genética , Instituições AcadêmicasRESUMO
BACKGROUND: Dietary modifications are crucial for managing newly diagnosed type 2 diabetes mellitus (T2DM) and preventing its health complications, but many patients fail to achieve clinical goals with diet alone. We sought to evaluate the clinical effects of a personalized postprandial-targeting (PPT) diet on glycemic control and metabolic health in individuals with newly diagnosed T2DM as compared to the commonly recommended Mediterranean-style (MED) diet. METHODS: We enrolled 23 adults with newly diagnosed T2DM (aged 53.5 ± 8.9 years, 48% males) for a randomized crossover trial of two 2-week-long dietary interventions. Participants were blinded to their assignment to one of the two sequence groups: either PPT-MED or MED-PPT diets. The PPT diet relies on a machine learning algorithm that integrates clinical and microbiome features to predict personal postprandial glucose responses (PPGR). We further evaluated the long-term effects of PPT diet on glycemic control and metabolic health by an additional 6-month PPT intervention (n = 16). Participants were connected to continuous glucose monitoring (CGM) throughout the study and self-recorded dietary intake using a smartphone application. RESULTS: In the crossover intervention, the PPT diet lead to significant lower levels of CGM-based measures as compared to the MED diet, including average PPGR (mean difference between diets, - 19.8 ± 16.3 mg/dl × h, p < 0.001), mean glucose (mean difference between diets, - 7.8 ± 5.5 mg/dl, p < 0.001), and daily time of glucose levels > 140 mg/dl (mean difference between diets, - 2.42 ± 1.7 h/day, p < 0.001). Blood fructosamine also decreased significantly more during PPT compared to MED intervention (mean change difference between diets, - 16.4 ± 37 µmol/dl, p < 0.0001). At the end of 6 months, the PPT intervention leads to significant improvements in multiple metabolic health parameters, among them HbA1c (mean ± SD, - 0.39 ± 0.48%, p < 0.001), fasting glucose (- 16.4 ± 24.2 mg/dl, p = 0.02) and triglycerides (- 49 ± 46 mg/dl, p < 0.001). Importantly, 61% of the participants exhibited diabetes remission, as measured by HbA1c < 6.5%. Finally, some clinical improvements were significantly associated with gut microbiome changes per person. CONCLUSION: In this crossover trial in subjects with newly diagnosed T2DM, a PPT diet improved CGM-based glycemic measures significantly more than a Mediterranean-style MED diet. Additional 6-month PPT intervention further improved glycemic control and metabolic health parameters, supporting the clinical efficacy of this approach. TRIAL REGISTRATION: ClinicalTrials.gov number, NCT01892956.
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Diabetes Mellitus Tipo 2 , Dieta Mediterrânea , Adulto , Glicemia/metabolismo , Automonitorização da Glicemia , Diabetes Mellitus Tipo 2/diagnóstico , Feminino , Controle Glicêmico , Humanos , Masculino , Pessoa de Meia-Idade , Projetos PilotoRESUMO
The COVID-19 pandemic poses multiple psychologically stressful challenges and is associated with an increased risk for mental illness. Previous studies have focused on the psychopathological symptoms associated with the outbreak peak. Here, we examined the behavioural and mental-health impact of the pandemic in Israel using an online survey, during the six weeks encompassing the end of the first outbreak and the beginning of the second. We used clinically validated instruments to assess anxiety- and depression-related emotional distress, symptoms, and coping strategies, as well as questions designed to specifically assess COVID-19-related concerns. Higher emotional burden was associated with being female, younger, unemployed, living in high socioeconomic status localities, having prior medical conditions, encountering more people, and experiencing physiological symptoms. Our findings highlight the environmental context and its importance in understanding individual ability to cope with the long-term stressful challenges of the pandemic.
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COVID-19 , Ansiedade/epidemiologia , Depressão/epidemiologia , Surtos de Doenças , Feminino , Humanos , Pandemias , SARS-CoV-2 , Estresse Psicológico/epidemiologiaRESUMO
OBJECTIVE: To evaluate body mass index (BMI) acceleration patterns in children and to develop a prediction model targeted to identify children at high risk for obesity before the critical time window in which the largest increase in BMI percentile occurs. STUDY DESIGN: We analyzed electronic health records of children from Israel's largest healthcare provider from 2002 to 2018. Data included demographics, anthropometric measurements, medications, diagnoses, and laboratory tests of children and their families. Obesity was defined as BMI ≥95th percentile for age and sex. To identify the time window in which the largest annual increases in BMI z score occurs during early childhood, we first analyzed childhood BMI acceleration patterns among 417 915 adolescents. Next, we devised a model targeted to identify children at high risk before this time window, predicting obesity at 5-6 years of age based on data from the first 2 years of life of 132 262 children. RESULTS: Retrospective BMI analysis revealed that among adolescents with obesity, the greatest acceleration in BMI z score occurred between 2 and 4 years of age. Our model, validated temporally and geographically, accurately predicted obesity at 5-6 years old (area under the receiver operating characteristic curve of 0.803). Discrimination results on subpopulations demonstrated its robustness across the pediatric population. The model's most influential predictors included anthropometric measurements of the child and family. Other impactful predictors included ancestry and pregnancy glucose. CONCLUSIONS: Rapid rise in the prevalence of childhood obesity warrant the development of better prevention strategies. Our model may allow an accurate identification of children at high risk of obesity.
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Índice de Massa Corporal , Obesidade Infantil/epidemiologia , Medição de Risco , Adolescente , Criança , Pré-Escolar , Conjuntos de Dados como Assunto , Feminino , Humanos , Israel/epidemiologia , Masculino , Modelos EstatísticosRESUMO
AIMS: Better understanding of the timeline and risk factors for the appearance of complications in pediatric Type-1-diabetes is key for developing prevention strategies. We studied endothelial markers and their determinants in adolescents with Type-1-diabetes at different time points from diagnosis. METHODS: A cross-sectional study of 58 adolescents, mean age 15.0 ± 2.4 years; 20 with recent-onset Type-1-diabetes, 20 with over 7 years of Type-1-diabetes and 18 controls. Clinical and biochemical data were collected. Fingertip arterial reactive hyperemia (EndoPAT) and carotid intima-media-thickness (cIMT) were measured to assess endothelial function and structure. RESULTS: Compared to controls, individuals with prolonged Type-1-diabetes had higher mean cIMT (0.49 ± 0.07 mm vs. 0.43 ± 0.05 mm p = 0.021) and maximal cIMT (0.61 ± 0.08 mm 0.52 ± 0.08 mm, p = 0.025). Endothelin-1 levels were significantly lower in subjects with prolonged Type-1-diabetes (1.2 ± 1.0 pg/ml) compared to controls (3.0 ± 1.7, p = 0.008 pg/ml); they negatively correlated with the mean cIMT (c = - 0.291, p = 0.031) and mean 6 months hemoglobin A1c (c = - 0.301, p = 0.022) and positively correlated with mean c-peptide levels (c = 0.356, p = 0.006) and the weekly exercise time (c = 0.485, p < 0.001). Endothelin-1 levels did not correlate with EndoPAT results. CONCLUSIONS: Our results suggest that the early years after the diagnosis of Type-1-diabetes are an important window for prevention of arterial damage in the pediatric population. The trajectories of relationships of Endothelin-1 with metabolic and vascular measures were opposite from the anticipated, yet consistent. Endothelin-1 related indirectly to adverse measures and directly to favorable measures. Decreased Endothelin-1 levels might reflect early stages in endothelial impairment in Type-1-diabetes, yet its' exact role in the development of complications is yet to be unraveled.
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Espessura Intima-Media Carotídea , Diabetes Mellitus Tipo 1/sangue , Endotelina-1/sangue , Adolescente , Estudos de Casos e Controles , Criança , Diabetes Mellitus Tipo 1/diagnóstico por imagem , Feminino , Humanos , Masculino , Adulto JovemRESUMO
The 10 K is a large-scale prospective longitudinal cohort and biobank that was established in Israel. The primary aims of the study include development of prediction models for disease onset and progression and identification of novel molecular markers with a diagnostic, prognostic and therapeutic value. The recruitment was initiated in 2018 and is expected to complete in 2021. Between 28/01/2019 and 13/12/2020, 4,629 from the expected 10,000 participants were recruited (46 %). Follow-up visits are scheduled every year for a total of 25 years. The cohort includes individuals between the ages of 40 and 70 years. Predefined medical conditions were determined as exclusions. Information collected at baseline includes medical history, lifestyle and nutritional habits, vital signs, anthropometrics, blood tests results, Electrocardiography, Ankle-brachial pressure index (ABI), liver US and Dual-energy X-ray absorptiometry (DXA) tests. Molecular profiling includes transcriptome, proteome, gut and oral microbiome, metabolome and immune system profiling. Continuous measurements include glucose levels using a continuous glucose monitoring device for 2 weeks and sleep monitoring by a home sleep apnea test device for 3 nights. Blood and stool samples are collected and stored at - 80 °C in a storage facility for future research. Linkage is being established with national disease registries.
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Automonitorização da Glicemia , Glicemia , Adulto , Idoso , Humanos , Israel/epidemiologia , Estudos Longitudinais , Pessoa de Meia-Idade , Estudos ProspectivosRESUMO
OBJECTIVES: Reports suggest that children with type 1 diabetes (T1D) perform less than the recommended daily activity and are less active than their non-diabetic peers. We aimed to: (a) Identify barriers and sources of support for exercise performance in pediatric T1D. (b) Identify strengths and limitations in the exercise-directed education provided by our diabetes team. METHODS: Patients with T1D 5 to 20 years of age were recruited while attending a routine clinic visit. Participants completed a set of questionnaires assessing demographics, health data, barriers, and sources of support for exercise performance and diabetes related exercise education. The clinics' medical staff filled-out a questionnaire assessing the exercise-directed education provided in clinic. RESULTS: Ninety-six subjects were included in this study, mean age 13.7 ± 3.8 years. Median weekly reported exercise time was 3.5 hours. The two most prevalent barriers were fear of hypoglycemia and low fitness, reported by 76% and 51%, respectively. Mean family and social support scores were 4.1 ± 0.7 and 3.3 ± 1.1, respectively (1-5 scale); the latter correlated with the amount of activity performed (cc = 0.360; P < .001). The majority of participants (97%) reported receiving guidance for physical activity, to their satisfaction. Yet, knowledge and implementation were suboptimal. All staff members reported conducting routine exercise-directed teaching, with variations in frequency and content. CONCLUSIONS: Our findings suggest that in order to increase the amount of safely performed exercise in pediatric patients with T1D, fear of hypoglycemia must be addressed. Further efforts should focus on: (a) encouraging active family and social involvement (b) standardization of education.
Assuntos
Diabetes Mellitus Tipo 1/psicologia , Exercício Físico , Acessibilidade aos Serviços de Saúde , Educação de Pacientes como Assunto , Apoio Social , Adolescente , Criança , Pré-Escolar , Diabetes Mellitus Tipo 1/complicações , Diabetes Mellitus Tipo 1/terapia , Medo , Feminino , Comportamentos Relacionados com a Saúde , Humanos , Israel , Masculino , Inquéritos e Questionários , Adulto JovemRESUMO
BACKGROUND: Diabetic ketoacidosis (DKA) treatment protocols vary, however low-dose intravenous administration of regular insulin is the standard care for replacing insulin in most centers. Few studies, the majority in adults, demonstrated subcutaneous injection of rapid-acting insulin every 1-2 hours to be a valid alternative. OBJECTIVE: To evaluate the efficacy and safety of subcutaneous regular insulin administered every 4 hours in pediatric DKA in a clinical setting. METHODS: A retrospective chart review was conducted. Charts of all children treated with subcutaneous regular insulin for DKA and pH ≥ 7.0, between 2007 and 2010, were reviewed. Seventy-six DKA episodes in 52 patients were included. Data regarding clinical characteristics, response to treatment, and the occurrence of complications were analyzed. DKA episodes in patients with new-onset diabetes and in those with established diabetes were compared. RESULTS: Mean age was 11.6 ± 4.0 yr. Eighteen episodes occurred in children with new-onset diabetes. In all episodes, our protocol resulted in recovery from DKA. Median time to DKA resolution (pH > 7.30, HCO3 > 15) was 10.3 (5.5, 14.2) h. The median total insulin dose was 0.05 (0.04, 0.06) (unit/kg/h). During DKA treatment, hypoglycemia occurred in one episode and hypokalemia, mostly mild, was documented in 14. No cardiac arrhythmias, incidents of cerebral edema, or mortality occurred. CONCLUSION: Subcutaneous regular insulin administered every 4 hours is an effective and safe alternative for the insulin treatment of DKA with pH > 7.0 in children. Such treatment has the potential to simplify insulin administration when compared to either intravenous regular insulin or q1-2 hour subcutaneous rapid insulin and reduce both patient inconvenience and admission costs.
Assuntos
Diabetes Mellitus Tipo 1/complicações , Cetoacidose Diabética/tratamento farmacológico , Hipoglicemiantes/administração & dosagem , Insulina/administração & dosagem , Adolescente , Criança , Cetoacidose Diabética/sangue , Cetoacidose Diabética/complicações , Cetoacidose Diabética/fisiopatologia , Esquema de Medicação , Cálculos da Dosagem de Medicamento , Feminino , Hemoglobinas Glicadas/análise , Hospitais Pediátricos , Humanos , Hipoglicemia/induzido quimicamente , Hipoglicemia/epidemiologia , Hipoglicemia/fisiopatologia , Hipoglicemiantes/efeitos adversos , Hipoglicemiantes/uso terapêutico , Hipopotassemia/induzido quimicamente , Hipopotassemia/epidemiologia , Hipopotassemia/fisiopatologia , Injeções Subcutâneas , Insulina/efeitos adversos , Insulina/uso terapêutico , Israel/epidemiologia , Masculino , Estudos Retrospectivos , Risco , Índice de Gravidade de DoençaRESUMO
Plasma fasting glucose (FG) levels play a pivotal role in the diagnosis of prediabetes and diabetes worldwide. Here we investigated FG values using continuous glucose monitoring (CGM) devices in nondiabetic adults aged 40-70 years. FG was measured during 59,565 morning windows of 8,315 individuals (7.16 ± 3.17 days per participant). Mean FG was 96.2 ± 12.87 mg dl-1, rising by 0.234 mg dl-1 per year with age. Intraperson, day-to-day variability expressed as FG standard deviation was 7.52 ± 4.31 mg dl-1. As there are currently no CGM-based criteria for diabetes diagnosis, we analyzed the potential implications of this variability on the classification of glycemic status based on current plasma FG-based diagnostic guidelines. Among 5,328 individuals who would have been considered to have normal FG based on the first FG measurement, 40% and 3% would have been reclassified as having glucose in the prediabetes and diabetes ranges, respectively, based on sequential measurements throughout the study. Finally, we revealed associations between mean FG and various clinical measures. Our findings suggest that careful consideration is necessary when interpreting FG as substantial intraperson variability exists and highlight the potential impact of using CGM data to refine glycemic status assessment.
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Monitoramento Contínuo da Glicose , Jejum , Estado Pré-Diabético , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Glicemia/análise , Diabetes Mellitus/sangue , Diabetes Mellitus/diagnóstico , Jejum/sangue , Estado Pré-Diabético/diagnóstico , Estado Pré-Diabético/sangueRESUMO
BACKGROUND: Genome-wide association studies (GWASs) associate phenotypes and genetic variants across a study cohort. GWASs require large-scale cohorts with both phenotype and genetic sequencing data, limiting studied phenotypes. The Human Phenotype Project is a longitudinal study that has measured a wide range of clinical and biomolecular features from a self-assignment cohort over 5 years. The phenotypes collected are quantitative traits, providing higher-resolution insights into the genetics of complex phenotypes. METHODS: We present the results of GWASs and polygenic risk score phenome-wide association studies with 729 clinical phenotypes and 4,043 molecular features from the Human Phenotype Project. This includes clinical traits that have not been previously associated with genetics, including measures from continuous sleep monitoring, continuous glucose monitoring, liver ultrasound, hormonal status, and fundus imaging. FINDINGS: In GWAS of 8,706 individuals, we found significant associations between 169 clinical traits and 1,184 single-nucleotide polymorphisms. We found genes associated with both glycemic control and mental disorders, and we quantify the strength of genetic signals in serum metabolites. In polygenic risk score phenome-wide association studies for clinical traits, we found 16,047 significant associations. CONCLUSIONS: The entire set of findings, which we disseminate publicly, provides newfound resolution into the genetic architecture of complex human phenotypes. FUNDING: E.S. is supported by the Minerva foundation with funding from the Federal German Ministry for Education and Research and by the European Research Council and the Israel Science Foundation.
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Estratificação de Risco Genético , Estudo de Associação Genômica Ampla , Humanos , Estudos Longitudinais , Automonitorização da Glicemia , Glicemia/genética , FenótipoRESUMO
Despite its rising prevalence, diabetes diagnosis still relies on measures from blood tests. Technological advances in continuous glucose monitoring (CGM) devices introduce a potential tool to expand our understanding of glucose control and variability in people with and without diabetes. Yet CGM data have not been characterized in large-scale healthy cohorts, creating a lack of reference for CGM data research. Here we present CGMap, a characterization of CGM data collected from over 7,000 non-diabetic individuals, aged 40-70 years, between 2019 and 2022. We provide reference values of key CGM-derived clinical measures that can serve as a tool for future CGM research. We further explored the relationship between CGM-derived measures and diabetes-related clinical parameters, uncovering several significant relationships, including associations of mean blood glucose with measures from fundus imaging and sleep monitoring. These findings offer novel research directions for understanding the influence of glucose levels on various aspects of human health.
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Diabetes Mellitus Tipo 1 , Diabetes Mellitus , Humanos , Glicemia , Automonitorização da Glicemia/métodosRESUMO
Diabetes and associated comorbidities are a global health threat on the rise. We conducted a six-month dietary intervention in pre-diabetic individuals (NCT03222791), to mitigate the hyperglycemia and enhance metabolic health. The current work explores early diabetes markers in the 200 individuals who completed the trial. We find 166 of 2,803 measured features, including oral and gut microbial species and pathways, serum metabolites and cytokines, show significant change in response to a personalized postprandial glucose-targeting diet or the standard of care Mediterranean diet. These changes include established markers of hyperglycemia as well as novel features that can now be investigated as potential therapeutic targets. Our results indicate the microbiome mediates the effect of diet on glycemic, metabolic and immune measurements, with gut microbiome compositional change explaining 12.25% of serum metabolites variance. Although the gut microbiome displays greater compositional changes compared to the oral microbiome, the oral microbiome demonstrates more changes at the genetic level, with trends dependent on environmental richness and species prevalence in the population. In conclusion, our study shows dietary interventions can affect the microbiome, cardiometabolic profile and immune response of the host, and that these factors are well associated with each other, and can be harnessed for new therapeutic modalities.
Assuntos
Microbioma Gastrointestinal , Hiperglicemia , Microbiota , Estado Pré-Diabético , Humanos , CitocinasRESUMO
Assessing the impact of cesarean delivery (CD) on long-term childhood outcomes is challenging as conducting a randomized controlled trial is rarely feasible and inferring it from observational data may be confounded. Utilizing data from electronic health records of 737,904 births, we defined and emulated a target trial to estimate the effect of CD on predefined long-term pediatric outcomes. Causal effects were estimated using pooled logistic regression and standardized survival curves, leveraging data breadth to account for potential confounders. Diverse sensitivity analyses were performed including replication of results in an external validation set from the UK including 625,044 births. Children born in CD had an increased risk to develop asthma (10-year risk differences (95% CI) 0.64% (0.31, 0.98)), an average treatment effect of 0.10 (0.07-0.12) on body mass index (BMI) z-scores at age 5 years old and 0.92 (0.68-1.14) on the number of respiratory infection events until 5 years of age. A positive 10-year risk difference was also observed for atopy (10-year risk differences (95% CI) 0.74% (-0.06, 1.52)) and allergy 0.47% (-0.32, 1.28)). Increased risk for these outcomes was also observed in the UK cohort. Our findings add to a growing body of evidence on the long-term effects of CD on pediatric morbidity, may assist in the decision to perform CD when not medically indicated and paves the way to future research on the mechanisms underlying these effects and intervention strategies targeting them.
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Cesárea , Gravidez , Feminino , Humanos , Criança , Pré-Escolar , Cesárea/efeitos adversos , Índice de Massa Corporal , Estudos de Coortes , MorbidadeRESUMO
OBJECTIVE: Previous studies have demonstrated an association between gut microbiota composition and type 1 diabetes (T1D) pathogenesis. However, little is known about the composition and function of the gut microbiome in adults with longstanding T1D or its association with host glycemic control. RESEARCH DESIGN AND METHODS: We performed a metagenomic analysis of the gut microbiome obtained from fecal samples of 74 adults with T1D, 14.6 ± 9.6 years following diagnosis, and compared their microbial composition and function to 296 age-matched healthy control subjects (1:4 ratio). We further analyzed the association between microbial taxa and indices of glycemic control derived from continuous glucose monitoring measurements and blood tests and constructed a prediction model that solely takes microbiome features as input to evaluate the discriminative power of microbial composition for distinguishing individuals with T1D from control subjects. RESULTS: Adults with T1D had a distinct microbial signature that separated them from control subjects when using prediction algorithms on held-out subjects (area under the receiver operating characteristic curve = 0.89 ± 0.03). Linear discriminant analysis showed several bacterial species with significantly higher scores in T1D, including Prevotella copri and Eubacterium siraeum, and species with higher scores in control subjects, including Firmicutes bacterium and Faecalibacterium prausnitzii (P < 0.05, false discovery rate corrected for all). On the functional level, several metabolic pathways were significantly lower in adults with T1D. Several bacterial taxa and metabolic pathways were associated with the host's glycemic control. CONCLUSIONS: We identified a distinct gut microbial signature in adults with longstanding T1D and associations between microbial taxa, metabolic pathways, and glycemic control indices. Additional mechanistic studies are needed to identify the role of these bacteria for potential therapeutic strategies.
Assuntos
Diabetes Mellitus Tipo 1 , Microbioma Gastrointestinal , Adulto , Glicemia , Automonitorização da Glicemia , Diabetes Mellitus Tipo 1/microbiologia , Fezes/microbiologia , Microbioma Gastrointestinal/genética , Controle Glicêmico , HumanosRESUMO
OBJECTIVE: Despite technological advances, results from various clinical trials have repeatedly shown that many individuals with type 1 diabetes (T1D) do not achieve their glycemic goals. One of the major challenges in disease management is the administration of an accurate amount of insulin for each meal that will match the expected postprandial glycemic response (PPGR). The objective of this study was to develop a prediction model for PPGR in individuals with T1D. RESEARCH DESIGN AND METHODS: We recruited individuals with T1D who were using continuous glucose monitoring and continuous subcutaneous insulin infusion devices simultaneously to a prospective cohort and profiled them for 2 weeks. Participants were asked to report real-time dietary intake using a designated mobile app. We measured their PPGRs and devised machine learning algorithms for PPGR prediction, which integrate glucose measurements, insulin dosages, dietary habits, blood parameters, anthropometrics, exercise, and gut microbiota. Data of the PPGR of 900 healthy individuals to 41,371 meals were also integrated into the model. The performance of the models was evaluated with 10-fold cross validation. RESULTS: A total of 121 individuals with T1D, 75 adults and 46 children, were included in the study. PPGR to 6,377 meals was measured. Our PPGR prediction model substantially outperforms a baseline model with emulation of standard of care (correlation of R = 0.59 compared with R = 0.40 for predicted and observed PPGR respectively; P < 10-10). The model was robust across different subpopulations. Feature attribution analysis revealed that glucose levels at meal initiation, glucose trend 30 min prior to meal, meal carbohydrate content, and meal's carbohydrate-to-fat ratio were the most influential features for the model. CONCLUSIONS: Our model enables a more accurate prediction of PPGR and therefore may allow a better adjustment of the required insulin dosage for meals. It can be further implemented in closed loop systems and may lead to rationally designed nutritional interventions personally tailored for individuals with T1D on the basis of meals with expected low glycemic response.
Assuntos
Diabetes Mellitus Tipo 1 , Adulto , Glicemia/análise , Automonitorização da Glicemia , Criança , Estudos Cross-Over , Humanos , Insulina , Refeições/fisiologia , Período Pós-Prandial/fisiologia , Estudos ProspectivosRESUMO
Studies on the real-life effect of the BNT162b2 vaccine for Coronavirus Disease 2019 (COVID-19) prevention are urgently needed. In this study, we conducted a retrospective analysis of data from the Israeli Ministry of Health collected between 28 August 2020 and 24 February 2021. We studied the temporal dynamics of the number of new COVID-19 cases and hospitalizations after the vaccination campaign, which was initiated on 20 December 2020. To distinguish the possible effects of the vaccination on cases and hospitalizations from other factors, including a third lockdown implemented on 8 January 2021, we performed several comparisons: (1) individuals aged 60 years and older prioritized to receive the vaccine first versus younger age groups; (2) the January lockdown versus the September lockdown; and (3) early-vaccinated versus late-vaccinated cities. A larger and earlier decrease in COVID-19 cases and hospitalization was observed in individuals older than 60 years, followed by younger age groups, by the order of vaccination prioritization. This pattern was not observed in the previous lockdown and was more pronounced in early-vaccinated cities. Our analysis demonstrates the real-life effect of a national vaccination campaign on the pandemic dynamics.
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Vacinas contra COVID-19/uso terapêutico , COVID-19/prevenção & controle , Pandemias , SARS-CoV-2/patogenicidade , Adulto , Idoso , Vacina BNT162 , COVID-19/epidemiologia , COVID-19/virologia , Vacinas contra COVID-19/imunologia , Controle de Doenças Transmissíveis , Hospitalização , Humanos , Israel/epidemiologia , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , SARS-CoV-2/efeitos dos fármacos , VacinaçãoRESUMO
The spread of Coronavirus disease 19 (COVID-19) has led to many healthcare systems being overwhelmed by the rapid emergence of new cases. Here, we study the ramifications of hospital load due to COVID-19 morbidity on in-hospital mortality of patients with COVID-19 by analyzing records of all 22,636 COVID-19 patients hospitalized in Israel from mid-July 2020 to mid-January 2021. We show that even under moderately heavy patient load (>500 countrywide hospitalized severely-ill patients; the Israeli Ministry of Health defined 800 severely-ill patients as the maximum capacity allowing adequate treatment), in-hospital mortality rate of patients with COVID-19 significantly increased compared to periods of lower patient load (250-500 severely-ill patients): 14-day mortality rates were 22.1% (Standard Error 3.1%) higher (mid-September to mid-October) and 27.2% (Standard Error 3.3%) higher (mid-December to mid-January). We further show this higher mortality rate cannot be attributed to changes in the patient population during periods of heavier load.
Assuntos
COVID-19/prevenção & controle , Mortalidade Hospitalar/tendências , Hospitais/estatística & dados numéricos , SARS-CoV-2/isolamento & purificação , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , COVID-19/virologia , Epidemias , Feminino , Hospitalização/estatística & dados numéricos , Humanos , Israel/epidemiologia , Masculino , Pessoa de Meia-Idade , Método de Monte Carlo , SARS-CoV-2/fisiologiaRESUMO
Background: Variability of response to medication is a well-known phenomenon, determined by both environmental and genetic factors. Understanding the heritable component of the response to medication is of great interest but challenging due to several reasons, including small study cohorts and computational limitations. Methods: Here, we study the heritability of variation in the glycaemic response to metformin, first-line therapeutic agent for type 2 diabetes (T2D), by leveraging 18 years of electronic health records (EHR) data from Israel's largest healthcare service provider, consisting of over five million patients of diverse ethnicities and socio-economic background. Our cohort consists of 80,788 T2D patients treated with metformin, with an accumulated number of 1,611,591 HbA1C measurements and 4,581,097 metformin prescriptions. We estimate the explained variance of glycated hemoglobin (HbA1c%) reduction due to inheritance by constructing a six-generation population-size pedigree from national registries and linking it to medical health records. Results: Using Linear Mixed Model-based framework, a common-practice method for heritability estimation, we calculate a heritability measure of h 2 = 12.6 % (95% CI, 6.1 % - 19.1 % ) for absolute reduction of HbA1c% after metformin treatment in the entire cohort, h 2 = 21.0 % (95% CI, 7.8 % - 34.4 % ) for males and h 2 = 22.9 % (95% CI, 10.0 % - 35.7 % ) in females. Results remain unchanged after adjusting for pre-treatment HbA1c%, and in proportional reduction of HbA1c%. Conclusions: To the best of our knowledge, our work is the first to estimate heritability of drug response using solely EHR data combining a pedigree-based kinship matrix. We demonstrate that while response to metformin treatment has a heritable component, most of the variation is likely due to other factors, further motivating non-genetic analyses aimed at unraveling metformin's action mechanism.