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BMJ Open Diabetes Research & Care May 2024ACE cleaves angiotensin I (Ang I) to angiotensin II (Ang II) inducing vasoconstriction via Ang II type 1 (AT1) receptor, while ACE2 cleaves Ang II to Ang (1-7) causing...
INTRODUCTION
ACE cleaves angiotensin I (Ang I) to angiotensin II (Ang II) inducing vasoconstriction via Ang II type 1 (AT1) receptor, while ACE2 cleaves Ang II to Ang (1-7) causing vasodilatation by acting on the Mas receptor. In diabetic kidney disease (DKD), it is still unclear whether plasma or urine ACE2 levels predict renal outcomes or not.
RESEARCH DESIGN AND METHODS
Among 777 participants with diabetes enrolled in the Urinary biomarker for Continuous And Rapid progression of diabetic nEphropathy study, the 296 patients followed up for 9 years were investigated. Plasma and urinary ACE2 levels were measured by the ELISA. The primary end point was a composite of a decrease of estimated glomerular filtration rate (eGFR) by at least 30% from baseline or initiation of hemodialysis or peritoneal dialysis. The secondary end points were a 30% increase or a 30% decrease in albumin-to-creatinine ratio from baseline to 1 year.
RESULTS
The cumulative incidence of the renal composite outcome was significantly higher in group 1 with lowest tertile of plasma ACE2 (p=0.040). Group 2 with middle and highest tertile was associated with better renal outcomes in the crude Cox regression model adjusted by age and sex (HR 0.56, 95% CI 0.31 to 0.99, p=0.047). Plasma ACE2 levels demonstrated a significant association with 30% decrease in ACR (OR 1.46, 95% CI 1.044 to 2.035, p=0.027) after adjusting for age, sex, systolic blood pressure, hemoglobin A1c, and eGFR.
CONCLUSIONS
Higher baseline plasma ACE2 levels in DKD were protective for development and progression of albuminuria and associated with fewer renal end points, suggesting plasma ACE2 may be used as a prognosis marker of DKD.
TRIAL REGISTRATION NUMBER
UMIN000011525.
Topics: Humans; Male; Female; Diabetic Nephropathies; Angiotensin-Converting Enzyme 2; Biomarkers; Middle Aged; Glomerular Filtration Rate; Peptidyl-Dipeptidase A; Aged; Prognosis; Disease Progression; Follow-Up Studies
PubMed: 38816205
DOI: 10.1136/bmjdrc-2024-004237 -
Acta Pharmaceutica (Zagreb, Croatia) Jun 2024In patients with chronic heart failure (CHF), the use of angiotensin-converting enzyme inhibitors, including ramipril, is recommended to reduce the risk of heart failure...
In patients with chronic heart failure (CHF), the use of angiotensin-converting enzyme inhibitors, including ramipril, is recommended to reduce the risk of heart failure worsening, hospitalisation, and death. Our aim was to investigate the influence of body composition on the pharmacokinetics of ramipril and its active metabolite ramiprilat and to evaluate the changes in pharmacokinetics after prolonged therapy. Twenty-three patients with CHF who were on regular therapy with ramipril participated at the first study visit ( median age 77 years, 65 % male, and 70 % New York Heart Association Class II); 19 patients attended the second study visit and the median time between the two visits was 8 months. Pharmacokinetics were assessed using a nonlinear mixed-effects parent-metabolite model comprising two compartments for ramipril and one compartment for ramiprilat. The influence of body size and composition was best described by an allometric relationship with fat-free mass. In addition, ramipril clearance was related to patient age and daily ramipril dose, while clearance of ramiprilat was influenced by glome rular filtration rate and daily ramipril dose. There were no clinically relevant changes in the pharmacokinetics of ramipril and ramiprilat between the study visits. Due to the relatively stable pharmacokinetics of ramipril, regular outpatient visits at 6-month intervals seem appropriate to evaluate ramipril therapy.
Topics: Humans; Ramipril; Heart Failure; Male; Angiotensin-Converting Enzyme Inhibitors; Aged; Female; Longitudinal Studies; Chronic Disease; Aged, 80 and over; Middle Aged; Body Composition
PubMed: 38815200
DOI: 10.2478/acph-2024-0018 -
Turkish Journal of Medical Sciences 2024Although high muscle strength worsens the sense of force, it is unknown whether there is a relationship between this deterioration and the underlying molecular...
BACKGROUND/AIM
Although high muscle strength worsens the sense of force, it is unknown whether there is a relationship between this deterioration and the underlying molecular mechanisms. This study examined the relationship between decreased force sense (FS) acuity and strength-related gene expressions.
MATERIALS AND METHODS
Maximal voluntary isometric contraction (MVIC) and FS (50% MVIC) tests were performed on the knee joints of twenty-two subjects. The expression analyses were evaluated by qRT-PCR in blood samples taken before, after MVIC, after 50% MVIC, and 15 min after the test.
RESULTS
MVIC and FS error values were significantly correlated with each other (r = .659, p = .001). The qRT-PCR analyses demonstrated that the expressed mRNAs of the interleukin 6 (IL-6), alpha-actinin 3 (ACTN3), angiotensin-converting enzyme (ACE), brain-derived neurotrophic factor (BDNF), and ciliary neurotrophic factor receptor (CNTFR) genes dramatically increased until 50% MVIC and subsequently decreased 15 min after the exercise (p < .05). The muscle-specific creatine kinase (CKMM), myosin light chain kinase (MLCK), and G-protein β3 subunit (GNB3) genes reached their peak expression levels 30 min after MVIC (p < .05). ACE and ACTN3 gene expression increased significantly in parallel with the increased FS error (p < .05). These gene expression fluctuations observed at 50% MVIC and after the rest could be related to changes in cellular metabolism leading to fatigue.
CONCLUSION
The time points of gene expression levels during exercise need to be considered. The force acuity of those whose maximal force develops too much may deteriorate.
Topics: Humans; Male; Muscle Strength; Isometric Contraction; Adult; Young Adult; Gene Expression; Muscle, Skeletal; Interleukin-6; Female; Brain-Derived Neurotrophic Factor; Peptidyl-Dipeptidase A; Actinin; Knee Joint
PubMed: 38812641
DOI: 10.55730/1300-0144.5775 -
European Heart Journal Open May 2024There is a lack of robust data on the optimal medical treatment of heart failure in patients with severe aortic stenosis, with no randomized controlled trials guiding...
Medical treatment of heart failure with renin-angiotensin-aldosterone system inhibitors and beta-blockers in aortic stenosis: association with long-term outcome after aortic valve replacement.
AIMS
There is a lack of robust data on the optimal medical treatment of heart failure in patients with severe aortic stenosis, with no randomized controlled trials guiding treatment. The study aimed to study the association between exposure to renin-angiotensin-aldosterone system (RAS) inhibitors or beta-blockers and outcome after aortic valve replacement in patients with aortic stenosis and heart failure.
METHODS AND RESULTS
The study included all patients with heart failure undergoing aortic valve replacement for aortic stenosis in Sweden between 2008 and 2016 ( = 4668 patients). Exposure to treatment was assessed by a continuous tracking of drug dispensations, and outcome events were all-cause mortality and hospitalization for heart failure collected from national patient registries. After adjustment for age, sex, atrial fibrillation, hypertension, diabetes mellitus, and prior myocardial infarction, Cox regression analysis showed that RAS inhibition was associated with a lower risk of all-cause mortality in patients with reduced left ventricular ejection fraction (LV-EF) [hazard ratio (HR) 0.58, 95% confidence interval (CI) 0.51-0.65] and preserved LV-EF (HR 0.69, 95% CI 0.56-0.85). Beta-blockade was associated with a lower risk of all-cause mortality in patients with reduced LV-EF (HR 0.81, 95% CI 0.71-0.92), but not in preserved LV-EF (HR 0.87, 95% CI 0.69-1.10). There was no association between RAS inhibition or beta-blockade and the risk of hospitalization for heart failure.
CONCLUSION
The RAS inhibition was associated with a lower all-cause mortality after valve replacement in patients with both reduced and preserved LV-EF. Beta-blockade was associated with lower all-cause mortality only in patients with reduced LV-EF.
PubMed: 38812477
DOI: 10.1093/ehjopen/oeae039 -
Diabetology & Metabolic Syndrome May 2024While oxidative stress is the key player driving diabetic nephropathy (DN), firm glycemic control remains the pillar prophylactic measure. Purslane was extensively...
Portulaca oleracea L seed extracts counteract diabetic nephropathy through SDF-1/IL10/PPARγ-mediated tuning of keap1/Nrf2 and NF-κB transcription in Sprague Dawley rats.
BACKGROUND & OBJECTIVE
While oxidative stress is the key player driving diabetic nephropathy (DN), firm glycemic control remains the pillar prophylactic measure. Purslane was extensively described as a potent hypoglycemic and hypolipidemic agent owing to its rich content of antioxidants. Therefore, this report aimed to assess the renoprotective potentials of methanol (MO) and methylene chloride (MC) fixed oil extracts of purslane seeds in a diabetic nephropathy (DN) model.
METHODS
Purslane seeds were extracted using absolute methanol and methylene chloride, and type-1 diabetes was induced with a single 55 mg/kg dose of Streptozotocin (STZ) dissolved in 100 mmol/L citrate buffer (pH 4.5), and then diabetic animals were received MO, MC, for 42 consecutive days to compare their antidiabetic effect relative to the reference drug "Losartan". Renal functions and DN biomarkers were weekly assessed, and the relative expression of different oxido-inflammatory mediators was quantified in diabetic kidneys by RT-PCR. Data were statistically analyzed using GraphPad Prism 9.0.2.
RESULTS
The oral administration of MO and MC extracts (250 mg/kg/day) significantly ameliorated the body weight loss (P < 0.0001 / each), fasting blood glucose levels (FBG) (P < 0.0001 / each), urine volume (P < 0.0001 / each), as well as serum creatinine (P < 0.0001 / each), uric acid (P = 0.0022, 0.0052), and blood urea nitrogen (BUN) (P = 0.0265, 0.0338); respectively, compared with the untreated diabetic rats. In addition, both extracts restored the effectuality of antioxidative machinery in diabetic kidneys as indicated by a significant reduction of ROS accumulation and lipid peroxidation; higher GSH content, and promoted activity of glutathione reductase and superoxide dismutase antioxidant enzymes (P < 0.0001 / each). Histologically, both extracts alleviated the DN-structural alterations including the glomerular congestion and tubular degeneration, with MC-treated kidneys showing near to normal architecture. The transcription profiles of all treated kidneys revealed a significantly downregulated expression of TNF-α, IL-6, Keap1 and NF-κB genes, concomitant with a significant upregulation of SDF-1, IL-10, Nrf2, HO-1, and PPARγ gene expression (P < 0.0001 / all).
CONCLUSION
These findings highlight the remarkable DN-prophylactic potentials of purslane extracts mediated by neutralizing the hyperglycemia-induced ROS accumulation, and circumventing the downstream inflammatory cascades, surpassing the reference angiotensin receptor blocker; i.e. Losartan.
PubMed: 38811991
DOI: 10.1186/s13098-024-01330-y -
Scientific Reports May 2024The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing...
The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing models frequently neglect this demographic's particular attributes, resulting in poor treatment outcomes. This study aims to improve the prediction of in-hospital mortality in multi-ethnic Asian women with STEMI by employing both base and ensemble machine learning (ML) models. We centred on the development of demographic-specific models using data from the Malaysian National Cardiovascular Disease Database spanning 2006 to 2016. Through a careful iterative feature selection approach that included feature importance and sequential backward elimination, significant variables such as systolic blood pressure, Killip class, fasting blood glucose, beta-blockers, angiotensin-converting enzyme inhibitors (ACE), and oral hypoglycemic medications were identified. The findings of our study revealed that ML models with selected features outperformed the conventional Thrombolysis in Myocardial Infarction (TIMI) Risk score, with area under the curve (AUC) ranging from 0.60 to 0.93 versus TIMI's AUC of 0.81. Remarkably, our best-performing ensemble ML model was surpassed by the base ML model, support vector machine (SVM) Linear with SVM selected features (AUC: 0.93, CI: 0.89-0.98 versus AUC: 0.91, CI: 0.87-0.96). Furthermore, the women-specific model outperformed a non-gender-specific STEMI model (AUC: 0.92, CI: 0.87-0.97). Our findings demonstrate the value of women-specific ML models over standard approaches, emphasizing the importance of continued testing and validation to improve clinical care for women with STEMI.
Topics: Humans; Female; ST Elevation Myocardial Infarction; Machine Learning; Hospital Mortality; Middle Aged; Aged; Support Vector Machine; Malaysia; Asian People; Risk Factors
PubMed: 38811643
DOI: 10.1038/s41598-024-61151-x -
Heliyon May 2024The pathogenesis of diabetes and its microvascular complications are intimately associated with renin angiotensin system dysregulation. Evidence suggests the angiotensin...
BACKGROUND
The pathogenesis of diabetes and its microvascular complications are intimately associated with renin angiotensin system dysregulation. Evidence suggests the angiotensin converting enzyme 2 (ACE2)/angiotensin 1-7 (Ang 1-7)/Mas receptor (MasR) axis regulates metabolic imbalances, inflammatory responses, reduces oxidative stress, and sustains microvascular integrity, thereby strengthening defences against diabetic conditions. This study aims to conduct a comprehensive analysis of the ACE2/Ang 1-7/MasR axis in diabetes and its microvascular complications over the past two decades, focusing on key contributors, research hotspots, and thematic trends.
METHODS
This cross-sectional bibliometric analysis of 349 English-language publications was performed using HistCite, VOSviewer, CiteSpace, and Bibliometrix R for visualization and metric analysis. Primary analytical metrics included publication count and keyword trend dynamics.
RESULTS
The United States, contributing 105 articles, emerged as the most productive country, with the University of Florida leading institutions with 18 publications. Benter IF was the most prolific author with 14 publications, and was the leading journal with 13 articles. A total of 151 of the 527 author's keywords with two or more occurrences clustered into four major clusters: diabetic microvascular pathogenesis, metabolic systems, type 2 diabetes, and coronavirus infections. Keywords such as "SARS", "ACE2", "coronavirus", "receptor" and "infection" displayed the strongest citation bursts. The thematic evolution in this field expanded from focusing on the renin angiotensin system (2002-2009) to incorporating ACE2 and diabetes metabolism (2010-2016). The latter period (2017-2023) witnessed a significant surge in diabetes research, reflecting the impact of COVID-19 and associated conditions such as diabetic retinopathy and cardiomyopathy.
CONCLUSIONS
This scientometric study offers a detailed analysis of the ACE2/Ang 1-7/MasR axis in diabetes and its microvascular complications, providing valuable insights for future research directions.
PubMed: 38807880
DOI: 10.1016/j.heliyon.2024.e31405 -
Caspian Journal of Internal Medicine 2024One of the most effective treatments for patients with acute ischemic stroke (AIS) is intravenous recombinant tissue plasminogen activator (rtPA) which can minimize...
Factors affecting improvement after intravenous administration of recombinant tissue plasminogen activator (rtPA) among patients with acute ischemic stroke: A historical cohort study.
BACKGROUND
One of the most effective treatments for patients with acute ischemic stroke (AIS) is intravenous recombinant tissue plasminogen activator (rtPA) which can minimize mortality and morbidities. In this historical cohort study, we investigate the factors affecting clinical outcomes after IV thrombolysis for AIS.
METHODS
We included 87 patients with acute ischemic stroke who were treated with rtPA between 2015 and 2019. Demographic and clinical data were recorded. The National Institutes of Health Stroke Scale (NIHSS) was used to assess the clinical outcomes.
RESULTS
36 patients showed lack of improvement at discharge. In unadjusted model, hypercholesterolemia was the only predictor of lack of improvement (P= 0.043; OR=0.304; CI= 0.096-0.963). After adjusting, hypertension (P= 0.018; OR= 0.18; CI= 0.043-0.749) and hypercholesterolemia (P= 0.008; OR= 8.68; CI= 1.773-42.54) were independent determinants of lack of clinical response. To evaluate risk factors in association with the duration of hospitalization, we found variables which lengthened hospitalization span including; age over 60 years (HR= 0.42 P= 0.002), hypercholesterolemia (HR= 2.19 P= 0.031), Angiotensin-converting enzyme (ACE) Inhibitors consumption (HR= 1.87 P= 0.022), and type of infarction (non-lacunar) (HR= 0.51 P= 0.026). Results indicated no considerable relationship between dose of rtPA and the appropriate response to treatment (OR=8.686 P= 0.324).
CONCLUSION
The closer dose of rtPA goes up to standard range, the more chance of improvement will gain without increasing the risk of symptomatic intra-cerebral hemorrhage (SICH). Determining factors involved in intravenous reperfusion outcomes help physicians to identify the patients who benefit the most from rtPA.
PubMed: 38807733
DOI: 10.22088/cjim.15.2.251 -
Frontiers in Immunology 2024The coronavirus disease 2019 (COVID-19) spread rapidly and claimed millions of lives worldwide. Acute respiratory distress syndrome (ARDS) is the major cause of...
OBJECTIVE
The coronavirus disease 2019 (COVID-19) spread rapidly and claimed millions of lives worldwide. Acute respiratory distress syndrome (ARDS) is the major cause of COVID-19-associated deaths. Due to the limitations of current drugs, developing effective therapeutic options that can be used rapidly and safely in clinics for treating severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections is necessary. This study aims to investigate the effects of two food-extracted immunomodulatory agents, ajoene-enriched garlic extract (AGE) and cruciferous vegetables-extracted sulforaphane (SFN), on anti-inflammatory and immune responses in a SARS-CoV-2 acute lung injury mouse model.
METHODS
In this study, we established a mouse model to mimic the SARS-CoV-2 infection acute lung injury model via intratracheal injection of polyinosinic:polycytidylic acid (poly[I:C]) and SARS-CoV-2 recombinant spike protein (SP). After the different agents treatment, lung sections, bronchoalveolar lavage fluid (BALF) and fresh faeces were harvested. Then, H&E staining was used to examine symptoms of interstitial pneumonia. Flow cytometry was used to examine the change of immune cell populations. Multiplex cytokines assay was used to examine the inflammatory cytokines.16S rDNA high-throughput sequencing was used to examine the change of gut microbiome.
RESULTS
Our results showed that AGE and SFN significantly suppressed the symptoms of interstitial pneumonia, effectively inhibited the production of inflammatory cytokines, decreased the percentage of inflammatory cell populations, and elevated T cell populations in the mouse model. Furthermore, we also observed that the gut microbiome of genus were enriched in the AGE-treated group.
CONCLUSION
Here, for the first time, we observed that these two novel, safe, and relatively inexpensive immunomodulatory agents exhibited the same effects on anti-inflammatory and immune responses as neutralizing monoclonal antibodies (mAbs) against interleukin 6 receptor (IL-6R), which have been suggested for treating COVID-19 patients. Our results revealed the therapeutic ability of these two immunomodulatory agents in a mouse model of SARS-CoV-2 acute lung injury by promoting anti-inflammatory and immune responses. These results suggest that AGE and SFN are promising candidates for the COVID-19 treatment.
Topics: Animals; Mice; Acute Lung Injury; Disease Models, Animal; COVID-19; SARS-CoV-2; Immunomodulating Agents; Anti-Inflammatory Agents; Angiotensin-Converting Enzyme 2; COVID-19 Drug Treatment; Isothiocyanates; Sulfoxides; Humans; Cytokines; Spike Glycoprotein, Coronavirus; Lung; Male; Poly I-C; Plant Extracts
PubMed: 38807598
DOI: 10.3389/fimmu.2024.1374541 -
BMC Surgery May 2024To explore the application effect of 3D printing surgical training models in the preoperative assessment of robot-assisted partial nephrectomy.
BACKGROUND
To explore the application effect of 3D printing surgical training models in the preoperative assessment of robot-assisted partial nephrectomy.
METHODS
Eighty patients who underwent robot-assisted partial nephrectomy surgery between January 2022 and December 2023 were selected and divided into two groups according to the chronological order. The control group (n = 40) received preoperative assessment with verbal and video education from January 2022 to December 2022, while the observation group (n = 40) received preoperative assessment with 3D printing surgical training models combined with verbal and video education from January 2023 to December 2023. The preoperative anxiety, information demand score, and surgical awareness were compared between the two groups. The physiological stress indicators, including interleukin-6 (IL-6), angiotensin II (AT II), adrenocorticotropic hormone (ACTH), cortisol (Cor), mean arterial pressure (MAP), and heart rate (HR), were also measured at different time points before and after surgery.They were 6:00 am on the day before surgery (T0), 6:00 am on the day of the operation (T1), 6:00 am on the first day after the operation (T2), and 6:00 am on the third day after the operation (T3).The preparation rate before surgery was compared between the two groups.
RESULTS
The anxiety and surgical information demand scores were lower in the observation group than in the control group before anesthesia induction, and the difference was statistically significant (P < 0.001). Both groups had lower scores before anesthesia induction than before preoperative assessment, and the difference was statistically significant (P < 0.05). The physiological stress indicators at T1 time points were lower in the observation group than in the control group, and the difference was statistically significant (P < 0.05). The overall means of the physiological stress indicators differed significantly between the two groups (P < 0.001). Compared with the T0 time point, the T1, T2, and T3 time points in both groups were significantly lower, and the difference was statistically significant (P < 0.05). The surgical awareness and preparation rate before surgery were higher in the observation group than in the control group, and the difference was statistically significant (P < 0.05).
CONCLUSION
The preoperative assessment mode using 3D printing surgical training models combined with verbal and video education can effectively reduce the psychological and physiological stress responses of surgical patients, improve their surgical awareness, and enhance the preparation rate before surgery.
Topics: Humans; Nephrectomy; Robotic Surgical Procedures; Printing, Three-Dimensional; Female; Male; Middle Aged; Preoperative Care; Adult; Aged; Models, Anatomic
PubMed: 38807080
DOI: 10.1186/s12893-024-02456-6