scholarly journals Increasing levels of Parasutterella in the gut microbiome correlate with improving low-density lipoprotein levels in healthy adults consuming resistant potato starch during a randomised trial

BMC Nutrition ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jason R. Bush ◽  
Michelle J. Alfa
Keyword(s):  
Gut Microbiome ◽  
Potato Starch ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Randomised Trial ◽  
Density Lipoprotein ◽  
Healthy Adults ◽  
Low Density ◽  
Link Type ◽  
Health Parameters

Abstract Background Prebiotics, defined as a substrate that is selectively utilized by host microorganisms conferring a health benefit, present a potential option to optimize gut microbiome health. Elucidating the relationship between specific intestinal bacteria, prebiotic intake, and the health of the host remains a primary microbiome research goal. Objective To assess the correlations between gut microbiota, serum health parameters, and prebiotic consumption in healthy adults. Methods We performed ad hoc exploratory analysis of changes in abundance of genera in the gut microbiome of 75 participants from a randomized, placebo-controlled clinical trial that evaluated the effects of resistant potato starch (RPS; MSPrebiotic®, N = 38) intervention versus a fully digestible placebo (N = 37) for which primary and secondary outcomes have previously been published. Pearson correlation analysis was used to identify relationships between health parameters (ie. blood glucose and lipids) and populations of gut bacteria. Results Abundance of Parasutterella (phylum Proteobacteria) tended to increase in the gut microbiome of individuals consuming RPS and those increases in Parasutterella were correlated with reductions in low-density lipoprotein (LDL) levels in participants consuming RPS but not placebo. Segregating RPS-consuming individuals whose LDL levels decreased (ie “Responders”) from those who did not (ie. “Non-Responders”) revealed that LDL Responders had significantly higher levels of Parasutterella both at baseline and after 12 weeks of consuming RPS. Conclusion Our analyses suggest that RPS may help improve LDL levels depending upon the levels of Parasutterella in an individual’s gut microbiome. Trial registration This study protocol was reviewed and approved by Health Canada (Submission #188517; “Notice of Authorization” dated 06/05/13) and registered as NCT01977183 (10/11/13) listed on NIH website: ClinicalTrials.gov. Data generated in this study have been submitted to NCBI (http://www.ncbi.nlm.nih.gov/bioproject/381931). Funding MSP Starch Products Inc.

scholarly journals Increasing levels of Parasutterella in the gut microbiome correlate with improving Low-Density Lipoprotein levels in healthy adults consuming resistant potato starch during a randomised trial

2020 ◽  
Author(s):  
Jason Russell Bush ◽  
Michelle J Alfa
Keyword(s):  
Gut Microbiome ◽  
Potato Starch ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Randomised Trial ◽  
Health Benefit ◽  
Density Lipoprotein ◽  
Healthy Adults ◽  
Low Density ◽  
Health Parameters

Abstract Background Prebiotics, defined as a substrate that is selectively utilized by host microorganisms conferring a health benefit, present a potential option to optimize gut microbiome health. Elucidating the relationship between specific intestinal bacteria, prebiotic intake, and the health of the host remains a primary microbiome research goal. Objective To assess the correlations between gut microbiota, serum health parameters, and prebiotic consumption in healthy adults. Methods We performed ad hoc exploratory analysis of changes in abundance of genera in the gut microbiome of 75 participants from a randomized, placebo-controlled clinical trial that evaluated the effects of resistant potato starch (RPS; MSPrebiotic®, N = 38) intervention versus a fully digestible placebo (N = 37) for which primary and secondary outcomes have previously been published. Pearson correlation analysis was used to identify relationships between health parameters (ie. blood glucose and lipids) and populations of gut bacteria. Results Abundance of Parasutterella (phylum Proteobacteria) tended to increase in the gut microbiome of individuals consuming RPS and those increases in Parasutterella were correlated with reductions in low-density lipoprotein (LDL) levels in participants consuming RPS but not placebo. Segregating RPS-consuming individuals whose LDL levels decreased (ie “Responders”) from those who did not (ie. “Non-Responders”) revealed that LDL Responders had significantly higher levels of Parasutterella both at baseline and after 12 weeks of consuming RPS. Conclusion Our analyses suggest that RPS may help improve LDL levels depending upon the levels of Parasutterella in an individual’s gut microbiome. Trial Registration: This study protocol was reviewed and approved by Health Canada (Submission #188517; “Notice of Authorization” dated 06/05/13) and registered as NCT01977183 (10/11/13) listed on NIH website: ClinicalTrials.gov. Data generated in this study have been submitted to NCBI (http://www.ncbi.nlm.nih.gov/bioproject/381931).

scholarly journals Increasing levels of Parasutterella in the gut microbiome correlate with improving Low-Density Lipoprotein levels in healthy adults consuming resistant potato starch during a randomised trial

2020 ◽  
Author(s):  
Jason Russell Bush ◽  
Michelle J Alfa
Keyword(s):  
Gut Microbiome ◽  
Potato Starch ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Randomised Trial ◽  
Health Benefit ◽  
Density Lipoprotein ◽  
Healthy Adults ◽  
Low Density ◽  
Health Parameters

Abstract Background: Prebiotics, defined as a substrate that is selectively utilized by host microorganisms conferring a health benefit, present a potential option to optimize gut microbiome health. Elucidating the relationship between specific intestinal bacteria, prebiotic intake, and the health of the host remains a primary microbiome research goal.Objective: To assess the correlations between gut microbiota, serum health parameters, and prebiotic consumption in healthy adults.Methods: We performed ad hoc exploratory analysis of changes in abundance of genera in the gut microbiome of 75 participants from a randomized, placebo-controlled clinical trial that evaluated the effects of resistant potato starch (RPS; MSPrebiotic®, N = 38) intervention versus a fully digestible placebo (N = 37) for which primary and secondary outcomes have previously been published. Pearson correlation analysis was used to identify relationships between health parameters (ie. blood glucose and lipids) and populations of gut bacteria.Results: Abundance of Parasutterella (phylum Proteobacteria) tended to increase in the gut microbiome of individuals consuming RPS and those increases in Parasutterella were correlated with reductions in low-density lipoprotein (LDL) levels in participants consuming RPS but not placebo. Segregating RPS-consuming individuals whose LDL levels decreased (ie “Responders”) from those who did not (ie. “Non-Responders”) revealed that LDL Responders had significantly higher levels of Parasutterella both at baseline and after 12 weeks of consuming RPS.Conclusion: Our analyses suggest that RPS may help improve LDL levels depending upon the levels of Parasutterella in an individual’s gut microbiome.Trial Registration: This study protocol was reviewed and approved by Health Canada (Submission #188517; “Notice of Authorization” dated 06/05/13) and registered as NCT01977183 (10/11/13) listed on NIH website: ClinicalTrials.gov. Data generated in this study have been submitted to NCBI (http://www.ncbi.nlm.nih.gov/bioproject/381931).Funding: MSP Starch Products Inc.

scholarly journals Hubungan indeks massa tubuh dengan profil lipid pada pasien diabetes melitus tipe 2

e-CliniC ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Pradika H. Koampa ◽  
Karel Pandelaki ◽  
Marthen C.P. Wongkar
Keyword(s):  
Body Mass Index ◽  
High Density Lipoprotein ◽  
Total Cholesterol ◽  
Body Mass ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
High Density ◽  
Low Density ◽  
Diabetes Melitus

Abstract: Body Mass Index (BMI) is a measurement of nutritional status by calculating the ratio of height and weight. Type 2 Diabetes Mellitus (T2DM) is more common in a person with a BMI of more than normal. In patients with T2DM, there is lipid metabolism disorder, dyslipidaemia. Changes in lipid profiles consist of increased levels of total cholesterol, Low Density Lipoprotein (LDL), and triglycerides, and decreased levels of High Density Lipoprotein (HDL). This study aimed to obtain the correlation between body mass index and lipid profile in T2DM patients in Prof. Dr. R. D. Kandou Hospital Manado. This was a descriptive analytical study using patients’ medical record in Endocrine Clinic Prof. Dr. R. D. Kandou Hospital Manado from September to November 2015. The Pearson correlation test showed correlations between BMI and total cholesterol levels with r=0.037and p=0.763; between BMI and HDL levels with r=-0.249 and p=0.039; between BMI and LDL levels with r=0.091 and p=0,455; and between BMI and triglyceride levels with r=0.179 and p=0.142. Conclusion: Among T2DM patients, there were no significant correlations between body mass index and total cholesterol, LDL cholesterol, as wello as triglyceride levels. However, there was a significant correlation between body mass index and HDL levels. Keywords: body mass index, total cholesterol, HDL, LDL, triglycerides, T2DM Abstrak: Indeks Massa Tubuh (IMT) merupakan salah satu pengukuran status gizi dengan menghitung perbandingan tinggi badan dan berat badan. Diabetes Melitus Tipe 2 (DMT2) lebih sering terjadi pada individu dengan IMT lebih dari normal. Pada pasien DMT2 terjadi gangguan metabolisme lipid yaitu dislipidemia. Perubahan profil lipid yang terjadi yaitu peningkatan kadar Kolesterol Total, Low Density Lipoprotein (LDL), dan trigliserida, serta penurunan kadar High Density Lipoprotein (HDL). Penelitian ini bertujuan untuk mengetahui hubungan antara IMT dengan profil lipid pada pasien DMT2di RSUP Prof. Dr. R. D. Kandou Manado. Jenis penelitian ini deskriptif analitik dengan menggunakan data rekam medik pasien di Poliklinik Endokrin Bagian/SMF Ilmu Penyakit Dalam RSUP. Prof. Dr. R. D. Kandou Manado periode September – November 2015. Hasil uji korelasi Pearson memperlihatkan nilai hubungan antara IMT dan kadar kolesterol total r = 0,037 dan p = 0,763 ; nilai hubungan antara IMT dan kadar HDL r = -0,249 dan p = 0,039 ; nilai hubungan antara IMT dan kadar LDL r = 0,091 dan p = 0,455; serta nilai hubungan antara IMT dan kadar trigliserida r = 0,179 dan p = 0,142. Simpulan: Pada pasien DMT2 tidak dijumpai hubungan bermakna antara IMT dengan kadar kolesterol total, kadar LDL, dan kadar trigliserida, namun terdapat hubungan bermakna antara IMT dengan kadar HDL.Kata kunci: IMT, kolesterol total, HDL, LDL, trigliserida, DMT2

scholarly journals Anti-Atherosclerotic Properties of Wild Rice in Low-Density Lipoprotein Receptor Knockout Mice: The Gut Microbiome, Cytokines, and Metabolomics Study

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2894 ◽  
Author(s):  
Mohammed H. Moghadasian ◽  
Ramandeep Kaur ◽  
Kayla Kostal ◽  
Akhila A. Joshi ◽  
Mahboubeh Molaei ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
Wild Rice ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Low Density ◽  
Lipoprotein Receptor ◽  
Plasma Samples ◽  
Low Density Lipoprotein Receptor ◽  
Density Lipoprotein Receptor ◽  
And Control

Background and aim: We previously reported the anti-atherogenic properties of wild rice in low-density lipoprotein receptor knockout (LDL-r-KO) mice. The present study aimed to discover the mechanism of action for such effects. Materials: Fecal and plasma samples from the wild rice treated and control mice were used. Fecal bacterial population was estimated while using 16S rDNA technology. The plasma samples were used to estimate the levels of 35 inflammatory markers and metabolomics, while using Meso Scale multiplex assay and liquid chromatography-mass spectrometry (LC-MS/MS) techniques. Results: Many bacteria, particularly Anaeroplasma sp., Acetatifactor sp., and Prophyromonadaceae sp., were found in higher quantities in the feces of wild rice fed mice as compared to the controls. Cytokine profiles were significantly different between the plasma of treated and control mice. Among them, an increase in the level of IL-10 and erythropoietin (EPO) could explain the anti-atherogenic properties of wild rice. Among many metabolites tested in plasma of these animals, surprisingly, we found an approximately 60% increase in the levels of glucose in the wild rice fed mice as compared to that in the control mice. Conclusion: Additional studies warrant further investigation of the interplay among gut microbiome, inflammatory status, and macronutrient metabolism.

scholarly journals Association between small dense low-density lipoprotein cholesterol and neuroimaging markers of cerebral small vessel disease in middle-aged and elderly Chinese populations

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaorong Yu ◽  
Yanhua Yu ◽  
Cunsheng Wei ◽  
Lin Wang ◽  
Junying Jiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Cutoff Value

Abstract Background Cerebral small vascular disease (CSVD) is one of the leading causes of death in the aged population and is closely related to abnormalities in low-density lipoprotein cholesterol (LDL-C). Our study aims to clarify the relationship between small and dense low-density lipoprotein cholesterol (sdLDL-C) (a subcomponent of LDL-C) and neuroimaging markers of CSVD. Methods In total, 1211 Chinese adults aged ≥45 years with cranial magnetic resonance imaging (MRI) were recruited in this retrospective study from January 2018 to May 2021. Serum lipids and other baseline characteristics were investigated in relation to the occurrence of CSVD. A logistic regression model was performed to analyze the relationships between LDL subtypes and CSVD risk, and the Pearson correlation coefficient was used to analyze the correlation between clinical characteristics and CSVD risk. ROC curves and AUCs were created and depicted to predict the best cutoff value of LDL-C subtypes for CSVD risk. Based on these data, we performed comprehensive analyses to investigate the risk factors for CSVD. Results Ultimately, 623 eligible patients were included in the present study. Of the 623 eligible patients, 487 were included in the CSVD group, and 136 were included in the group without CSVD (control group). We adjusted for confounders in the multivariate logistic regression model, and LDL-C3 was still higher in the CSVD patients than in the group of those without CSVD (OR (95% CI), 1.22(1.08–1.38), P < 0.05). Pearson correlation showed that there was a positive correlation between the levels of LDL-C3, LDL-C4, LDL-C5, glucose, age, hypertension, previous ischemic stroke and CSVD risk (r > 0.15, P < 0.01). Moreover, the best cutoff value of LDL-C3 to predict CSVD was 9.5 mg/dL with 68.4% sensitivity and 72.8% specificity, and the best cutoff value of LDL-C4 to predict CSVD was 5.5 mg/dL with 50.5% sensitivity and 90.4% specificity. Conclusion The results indicate that LDL-C3 is an independent risk factor for CSVD. A new prediction model based on LDL-C3 and LDL-C4 can help clinicians identify high-risk CSVD, even in people with normal LDL-C levels. The levels of sdLDL-C should be considered in the assessment and management of CSVD.

Familial Hypercholesterolaemia Regression Study: a randomised trial of low-density-lipoprotein apheresis

The Lancet ◽  
1995 ◽  
Vol 345 (8953) ◽  
pp. 811-816 ◽  
Author(s):  
G.R. Thompson ◽  
V.M.G. Maher ◽  
Y. Kitano ◽  
C. Neuwirth ◽  
V.M.G. Maher ◽  
...  
Keyword(s):  
Familial Hypercholesterolaemia ◽  
Low Density Lipoprotein ◽  
Randomised Trial ◽  
Density Lipoprotein ◽  
Low Density ◽  
Lipoprotein Apheresis

scholarly journals Decreased Low-Density Lipoprotein Cholesterol Level Indicates Poor Prognosis of Severe and Critical COVID-19 Patients: A Retrospective, Single-Center Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Mengmeng Zhao ◽  
Zhen Luo ◽  
Hua He ◽  
Bo Shen ◽  
Jinjun Liang ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Cardiac Injury ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Health Crisis ◽  
Increased Risk

Coronavirus disease 2019 (COVID-19) has become a global public health crisis. Reduced low-density lipoprotein cholesterol (LDL-C) levels were observed in COVID-19 patients. The present study aimed to explore the relationship between LDL-C levels and the prognosis of severe and critical COVID-19 patients. A total of 211 severe and critical COVID-19 patients were enrolled and divided into four groups according to the LDL-C levels, including 53 patients in Group A (LDL-C ≥ 2.71 mmol/L), 53 patients in Group B (2.28 ≤ LDL-C &lt; 2.71 mmol/L), 53 patients in Group C (1.83 ≤ LDL-C &lt; 2.28 mmol/L) and 52 patients in Group D (LDL-C &lt; 1.83 mmol/L). LDL-C levels were lower in critically ill patients than in severe patients. The main symptoms before admission, characteristics on admission and comorbidities of enrolled patients did not differ among the four groups. Compared with patients with high LDL-C levels, patients with low LDL-C levels were more likely to have immune and inflammation dysfunction, renal dysfunction, liver dysfunction and cardiac dysfunction on admission. The proportions of patients with shock and acute cardiac injury, of those admitted to intensive care unit (ICU) and of those treated with mechanical ventilation were inversely related to LDL-C level. The mortality of COVID-19 patients increased with LDL-C reduction. Serum LDL-C levels of COVID-19 patients was negatively correlated with CRP level, but positively correlated with lymphocyte count, as shown by Pearson correlation analysis. Proportional hazard models showed that low LDL-C levels were associated with increased risk of hospitalization death, cardiac injury and admission to the ICU. Taken together, these results suggest that decreased LDL-C levels indicate poor prognosis of severe and critical COVID-19 patients.

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