Subjects -> MEDICAL SCIENCES (Total: 8196 journals)
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HEMATOLOGY (160 journals)                     

Showing 1 - 151 of 151 Journals sorted alphabetically
Acta Angiologica     Open Access   (Followers: 2)
Acta Haematologica     Full-text available via subscription   (Followers: 23)
Acta Haematologica Polonica     Open Access  
Adipocyte     Open Access  
Advances in Hematology     Open Access   (Followers: 13)
Africa Sanguine     Full-text available via subscription  
American Journal of Hematology     Hybrid Journal   (Followers: 52)
Anemia     Open Access   (Followers: 6)
Annals of Hematology     Hybrid Journal   (Followers: 15)
Archives of Hematology Case Reports and Reviews     Open Access  
Arteriosclerosis, Thrombosis and Vascular Biology     Full-text available via subscription   (Followers: 29)
Artery Research     Hybrid Journal   (Followers: 4)
Artificial Cells, Nanomedicine and Biotechnology     Hybrid Journal   (Followers: 4)
ASAIO Journal     Hybrid Journal   (Followers: 2)
Best Practice & Research Clinical Haematology     Hybrid Journal   (Followers: 5)
Blood     Hybrid Journal   (Followers: 289)
Blood Advances     Open Access   (Followers: 6)
Blood and Lymphatic Cancer : Targets and Therapy     Open Access   (Followers: 7)
Blood Cancer Journal     Open Access   (Followers: 18)
Blood Cells, Molecules, and Diseases     Hybrid Journal   (Followers: 8)
Blood Coagulation & Fibrinolysis     Hybrid Journal   (Followers: 60)
Blood Pressure     Open Access  
Blood Pressure Monitoring     Hybrid Journal   (Followers: 1)
Blood Purification     Full-text available via subscription   (Followers: 6)
Blood Reviews     Hybrid Journal   (Followers: 26)
BMC Hematology     Open Access   (Followers: 7)
BMJ Open Diabetes Research & Care     Open Access   (Followers: 29)
Bone Marrow Transplantation     Hybrid Journal   (Followers: 17)
British Journal of Diabetes & Vascular Disease     Open Access   (Followers: 21)
British Journal of Haematology     Hybrid Journal   (Followers: 60)
British Journal of Primary Care Nursing - Cardiovascular Disease, Diabetes and Kidney Care     Full-text available via subscription   (Followers: 10)
Canadian Journal of Diabetes     Hybrid Journal   (Followers: 28)
Case Reports in Hematology     Open Access   (Followers: 10)
Clinical and Applied Thrombosis/Hemostasis     Open Access   (Followers: 32)
Clinical Diabetes     Full-text available via subscription   (Followers: 39)
Clinical Diabetes and Endocrinology     Open Access   (Followers: 20)
Clinical Lymphoma & Myeloma     Full-text available via subscription   (Followers: 2)
Clinical Lymphoma Myeloma and Leukemia     Hybrid Journal   (Followers: 5)
Clinical Medicine Insights : Blood Disorders     Open Access   (Followers: 1)
Conquest : The Official Journal of Diabetes Australia     Full-text available via subscription   (Followers: 3)
Current Angiogenesis     Hybrid Journal   (Followers: 1)
Current Diabetes Reports     Hybrid Journal   (Followers: 24)
Current Diabetes Reviews     Hybrid Journal   (Followers: 27)
Current Hematologic Malignancy Reports     Hybrid Journal   (Followers: 2)
Current Opinion in Hematology     Hybrid Journal   (Followers: 20)
Cytotherapy     Full-text available via subscription   (Followers: 2)
Der Diabetologe     Hybrid Journal   (Followers: 2)
Diabetes     Full-text available via subscription   (Followers: 403)
Diabetes aktuell     Hybrid Journal   (Followers: 3)
Diabetes and Vascular Disease Research     Hybrid Journal   (Followers: 20)
Diabetes Care     Full-text available via subscription   (Followers: 461)
Diabetes Case Reports     Open Access  
Diabetes Educator     Hybrid Journal   (Followers: 27)
Diabetes Management     Full-text available via subscription   (Followers: 15)
Diabetes Research and Clinical Practice     Hybrid Journal   (Followers: 71)
Diabetes Spectrum     Full-text available via subscription   (Followers: 16)
Diabetes Technology & Therapeutics     Hybrid Journal   (Followers: 50)
Diabetes Therapy     Open Access   (Followers: 23)
Diabetic Foot & Ankle     Open Access   (Followers: 10)
Diabetic Medicine     Hybrid Journal   (Followers: 142)
Diabetologia     Hybrid Journal   (Followers: 200)
Diabetologia Kliniczna     Hybrid Journal  
Diabetologie und Stoffwechsel     Hybrid Journal   (Followers: 2)
Egyptian Journal of Haematology     Open Access  
eJHaem     Open Access  
European Journal of Haematology     Hybrid Journal   (Followers: 16)
Experimental Hematology     Hybrid Journal   (Followers: 6)
Experimental Hematology & Oncology     Open Access   (Followers: 6)
Expert Review of Hematology     Hybrid Journal   (Followers: 5)
Fluids and Barriers of the CNS     Open Access   (Followers: 1)
Global Journal of Transfusion Medicine     Open Access   (Followers: 1)
Haematologica - the Hematology journal     Open Access   (Followers: 33)
Haemophilia     Hybrid Journal   (Followers: 66)
Hematologia     Full-text available via subscription   (Followers: 3)
Hematología     Open Access  
Hematology     Open Access   (Followers: 15)
Hematology Reports     Open Access   (Followers: 4)
Hematology, Transfusion and Cell Therapy     Open Access   (Followers: 2)
Hematology/Oncology and Stem Cell Therapy     Open Access   (Followers: 6)
Hemodialysis International     Hybrid Journal   (Followers: 3)
Hepatitis Monthly     Open Access   (Followers: 3)
Immunohematology : Journal of Blood Group Serology and Molecular Genetics     Hybrid Journal   (Followers: 1)
Indian Journal of Hematology and Blood Transfusion     Hybrid Journal   (Followers: 2)
Info Diabetologie     Full-text available via subscription   (Followers: 1)
InFo Hämatologie + Onkologie : Interdisziplinäre Fortbildung von Ärzten für Ärzte     Full-text available via subscription  
Integrated Blood Pressure Control     Open Access  
International Blood Research & Reviews     Open Access  
International Journal of Clinical Transfusion Medicine     Open Access   (Followers: 3)
International Journal of Diabetes in Developing Countries     Hybrid Journal   (Followers: 6)
International Journal of Diabetes Research     Open Access   (Followers: 8)
International Journal of Hematologic Oncology     Open Access   (Followers: 2)
International Journal of Hematology     Hybrid Journal   (Followers: 4)
International Journal of Hematology Research     Open Access   (Followers: 2)
International Journal of Hematology-Oncology and Stem Cell Research     Open Access   (Followers: 2)
International Journal of Laboratory Hematology     Hybrid Journal   (Followers: 25)
Iraqi Journal of Hematology     Open Access  
JMIR Diabetes     Open Access  
Journal of Blood Disorders & Transfusion     Open Access   (Followers: 3)
Journal of Applied Hematology     Open Access   (Followers: 2)
Journal of Blood Medicine     Open Access   (Followers: 1)
Journal of Cerebral Blood Flow & Metabolism     Hybrid Journal   (Followers: 3)
Journal of Diabetes     Open Access   (Followers: 20)
Journal of Diabetes and its Complications     Hybrid Journal   (Followers: 25)
Journal of Diabetes and Metabolic Disorders     Open Access   (Followers: 8)
Journal of Diabetes Investigation     Open Access   (Followers: 12)
Journal of Diabetes Mellitus     Open Access   (Followers: 5)
Journal of Diabetes Research     Open Access   (Followers: 13)
Journal of Diabetes Research     Open Access   (Followers: 9)
Journal of Hematological Malignancies     Open Access  
Journal of Hematology     Open Access   (Followers: 2)
Journal of Hematology and Transfusion Medicine     Open Access   (Followers: 1)
Journal of Hematopathology     Hybrid Journal   (Followers: 3)
Journal of Hypo & Hyperglycemia     Partially Free  
Journal of Pediatric Hematology/Oncology     Hybrid Journal   (Followers: 8)
Journal of Social Health and Diabetes     Open Access   (Followers: 1)
Journal of Thrombosis and Haemostasis     Hybrid Journal   (Followers: 80)
Journal of Thrombosis and Thrombolysis     Hybrid Journal   (Followers: 35)
Journal of Transfusion Medicine     Full-text available via subscription  
Kidney and Blood Pressure Research     Open Access   (Followers: 4)
Leukemia     Hybrid Journal   (Followers: 22)
Leukemia and Lymphoma     Hybrid Journal   (Followers: 12)
Leukemia Research     Hybrid Journal   (Followers: 8)
Leukemia Research Reports     Open Access   (Followers: 1)
Leukemia Supplements     Full-text available via subscription  
Mediterranean Journal of Hematology and Infectious Diseases     Open Access  
Nederlands Tijdschrift voor Diabetologie     Hybrid Journal  
Nutrition & Diabetes     Open Access   (Followers: 20)
Oncohematology     Open Access   (Followers: 1)
Open Diabetes Journal     Open Access  
Open Hematology Journal     Open Access   (Followers: 1)
Open Hypertension Journal     Open Access  
Open Journal of Blood Diseases     Open Access  
Pediatric Blood & Cancer     Hybrid Journal   (Followers: 8)
Pediatric Hematology Oncology Journal     Open Access   (Followers: 3)
Peritoneal Dialysis International     Hybrid Journal  
Platelets     Hybrid Journal   (Followers: 3)
Practical Diabetes     Hybrid Journal   (Followers: 7)
Primary Care Diabetes     Hybrid Journal   (Followers: 26)
Research & Reviews : Journal of Oncology and Hematology     Full-text available via subscription   (Followers: 1)
Research and Practice in Thrombosis and Haemostasis     Open Access   (Followers: 1)
Revista Cubana de Hematología, Inmunología y Hemoterapia     Open Access  
Seminars in Hematology     Hybrid Journal   (Followers: 12)
Seminars in Thrombosis and Hemostasis     Hybrid Journal   (Followers: 45)
Thalassemia Reports     Open Access   (Followers: 1)
The Lancet Haematology     Full-text available via subscription   (Followers: 38)
Therapeutic Advances in Hematology     Hybrid Journal  
Thrombosis & Haemostasis     Hybrid Journal   (Followers: 140)
Thrombosis Research     Hybrid Journal   (Followers: 47)
Transfusionsmedizin - Immunhämatologie, Hämotherapie, Immungenetik, Zelltherapie     Hybrid Journal  
Transplantation and Cellular Therapy     Hybrid Journal   (Followers: 13)
Veins and Lymphatics     Open Access   (Followers: 1)

           

Similar Journals
Journal Cover
Journal of Diabetes and Metabolic Disorders
Journal Prestige (SJR): 0.818
Citation Impact (citeScore): 2
Number of Followers: 8  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2251-6581
Published by BMC (Biomed Central) Homepage  [279 journals]
  • Differential expression of cystathionine beta synthase in adolescents with
           Down syndrome: impact on adiposity

    • Abstract: Purpose: Obesity is more prevalent among people with Down Syndrome (DS) compared to general population. In this pilot study, we investigated the effect of cystathionine beta-synthase (CBS) overdosage on the regulation of transsulfuration pathway and the obesity phenotype in fifty adolescents (25 obese/overweight and 25 lean) with trisomy 21. Methods: The transcriptional levels of CBS in leukocytes and its translational levels in plasma were quantified using real time polymerase chain reaction and enzyme-linked immunosorbent assay respectively. Meanwhile, ultra performance liquid chromatography tandem mass spectrometry was used to determine the plasma concentrations of methionine, homocysteine, cystathionine and cysteine. Fasting plasma lipid profiles were assessed by colorimetric assays. The anthropometric measurements and indices of all subjects were recorded. Results: Both DS groups had comparable levels of CBS transcripts (p = 0.2734). The plasma levels of the enzyme were significantly higher in the lean DS cases (p = 0.0174) compared to the obese/overweight participants. Total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, methionine, homocysteine, cystathionine and cysteine showed similar plasma levels in both groups. However, the plasma cysteine levels exceeded the normal range in all DS cases. We reported a statistically significant inverse association between CBS enzyme levels and weight (r= − 0.3498, p = 0.0128), hip circumference (r= − 0.3584, p = 0.0106), body mass index (r= − 0.3719, p = 0.0078) and body adiposity index (r= − 0.3183, p = 0.0243). Conclusions Our data suggests that the high concentrations of CBS enzyme together with cysteine modulate the DS obesity presumably through increased hydrogen sulfide production which has recently showed anti-adiposity effects.
      PubDate: 2022-08-12
       
  • Renoprotective activity of anethole- rich fraction from aromatic herbs on
           junk food induced diabetic nephropathy in rats

    • Abstract: Purpose This study was carried out to study the effect of anethole rich fraction on the Diabetic Nephropathy (DN) rats, and explore the mechanisms. Methods Male wistar rats were grouped into 4 (n = 6 per group): Control, junk food fed DN induced rats, low dose and high dose groups. DN was induced by oral junk food feeding. They were monitored for blood glucose levels and urine protein content at regular intervals. At the end of the study, the biological and hematological parameters were measured. Pancreatic and kidney viscera were taken to observe histopathological changes. Results Both the doses of anethole rich fraction could drastically lower blood glucose levels, Low Density Lipoprotein (LDL), Glycated Serum Protein (GSP), Total Cholesterol (TC), Triglycerides (TG) (P < 0.01), Malondialdehyde (MDA) level (P < 0.01 or P < 0.05), increases insulin level (P < 0.01), High Density Lipoproteins (HDL), Glutathione Reductase (GSH) and Superoxide Dismutase (SOD) (P < 0.01 or P < 0.05 or P > 0.05). Both doses of anethole rich fraction also improved the pathological changes of kidney and pancreatic tissues in DN rats (P < 0.01 or P < 0.05 or P > 0.05). Conclusions Hence it can be hypothesized that the high dose of anethole rich fraction (100 mg/kg) could reach the intervention effect and could ameliorate renal damage in DN rats by improving the renal functions, oxidative stress levels, glycometabolism and pathological changes of pancreas and kidney.
      PubDate: 2022-08-12
       
  • Perceived social support in pregnant women with gestational diabetes
           attending hospitals in western Iran compared to healthy controls and its
           relationship with perceived anxiety

    • Abstract: Background/purpose Due to the importance of social support in pregnant women, especially those with gestational diabetes that cause anxiety and stress in them and requires effective and enough attention, this study aims to assess perceived social support of pregnant women with gestational diabetes in western Iran compared to healthy controls and its relationship with their perceived anxiety. Methods This is a descriptive/analytical study with a cross-sectional design conducted on 180 pregnant women with gestational diabetes (n = 89) and without gestational diabetes (n = 91) referred to the obstetrics and gynecology clinics of two hospitals (Asalian and Shahid Rahimi) in Khorramabad, western Iran. Data collection tools were a demographic checklist, the Multidimensional Scale of Perceived Social Support (MSPSS), and the Beck Anxiety Inventory (BAI). Collected data were analyzed in SPSS v.20 software using chi square test, independent t-test, one-way ANOVA, and Pearson correlation test. Results The difference between the two groups was significant in terms of perceived support from family (p = 0.001), perceived support from friends (p = 0.006), and anxiety (p = 0.047). Pearson correlation test results showed a significant negative relationship between the scores of MSPSS and BAI in patients (r= -0.329, p = 0.001) and controls (r=-0.204, p = 0.006). There was a significant difference in the MSPSS score among diabetic women in terms of having fetal macrosomia (p = 0.005), occupation (p = 0.003), education (p = 0.001), and frequency of pregnancy (p = 0.010). Conclusions The perceived social support level is higher in diabetic pregnant women compared to healthy peers in western Iran. Improvement of social support from family and friends can reduce the anxiety of pregnant women with/without diabetes.
      PubDate: 2022-08-11
       
  • The OPTIMISE study protocol: a multicentre optimisation trial comparing
           continuous glucose monitoring, snacking habits, sleep extension and
           values-guided self-care interventions to improve glucose time-in-range in
           young people (13–20 years) with type 1 diabetes

    • Abstract: Purpose The OPTIMISE study uses a Multiphase Optimisation Strategy (MOST) to identify the best combination of four interventions targeting key diabetes self-care behaviours for use in clinical practice to improve short-term glycaemic outcomes. Methods This 4-week intervention trial will recruit 80 young people (aged 13–20 years) with type 1 diabetes ≥ 6 months duration), and pre-enrolment HbA1c ≥ 58 mmol/mol (7.5%) in the prior 6 months. Both main intervention and interaction effects will be estimated using a linear regression model with change in glucose time-in-range (TIR; 3.9–10.0 mmol/L) as the primary outcome. Participants will be randomised to one of 16 conditions in a factorial design using four intervention components: (1) real-time continuous glucose monitoring (CGM), (2) targeted snacking education, (3) individualised sleep extension, and (4) values-guided self-care goal setting. Baseline and post-intervention glucose TIR will be assessed with blinded CGM. Changes in self-care (snacking behaviours, sleep habits and duration, and psychosocial outcomes) will be assessed at baseline and post-intervention to determine if these interventions impacted behaviour change. Discussion The study outcomes will enable the selection of effective and efficient intervention components that increase glucose TIR in young people who struggle to achieve targets for glycaemic control. The optimised intervention will be evaluated in a future randomised controlled trial and guide the planning of effective clinical interventions in adolescents and young adults living with type 1 diabetes. Trial registration This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry on 7 October 2020 (ACTRN12620001017910) and the World Health Organisation International Clinical Trails Registry Platform on 26 July 2020 (Universal Trial Number WHO U1111-1256-1248).
      PubDate: 2022-08-11
       
  • The relationship between GAD65 autoantibody and the risk of T1DM onset

    • Abstract: Objectives Type 1 diabetes mellitus (T1DM) is a well-known autoimmune disease, characterized by β-cell destruction in pancreas islet cells, which results insulin deficiency and subsequent hyperglycemic sequelae. While there is screening for type 2 DM that leads to better glycemic control and outcome, the majority of T1DM patients are diagnosed when much of the pancreatic cells and their function are disturbed. The aim of this article is to present an overview of the effective factors in the positivity of Glutamic acid decarboxylase antibody )GADA( and identifying the high-risk individuals for T1DM. Methods We searched English literature available at National Library of Medicine via PubMed, and Google Scholar through December 2020. Finally, 79 papers have been included in the study. Studies were summarized based on the number of positive autoantibodies and onset of T1DM over time and GADA correlation with different variables. Conclusions GADA is an easy marker to measure that can be detected many months prior to the clinical presentation and remains positive even after early childhood.
      PubDate: 2022-08-05
       
  • The effect of high-intensity interval training (HIIT) on protein
           expression in Flexor Hallucis Longus (FHL) and soleus (SOL) in rats with
           type 2 diabetes

    • Abstract: Purpose In people with diabetes, one of the problems for patients is muscle wasting and inhibition of the protein synthesis pathway. This study aimed to evaluate the effects of HIIT on protein expression in two skeletal muscles, flexor hallucis longus (FHL) and soleus (SOL) in rats with type 2 diabetes mellitus (T2DM). Materials and methods Diabetes initially was induced by streptozotocin (STZ) and nicotinamide. Rats with type 2 diabetes were randomly and equally divided into control (n = 6) and HIIT groups (n = 6). After 8 weeks of training, the content of total and phosphorylated proteins of serine/threonine-protein kinases (AKT1), mammalian target of rapamycin (mTOR), P70 ribosomal protein S6 kinase 1 (P70S6K1), and 4E (eIF4E)-binding protein 1 (4E-BP1) in FHL and SOL muscles were measured by Western blotting. While body weight and blood glucose were also controlled. Results In the HIIT training group, compared to the control group, a significant increase in the content of AKT1 (0.003) and mTOR (0.001) proteins was observed in the FHL muscle. Also, after 8 weeks of HIIT training, protein 4E-BP1 (0.001) was increased in SOL muscle. However, there was no significant change in other proteins in FHL and SOL muscle. Conclusions In rats with type 2 diabetes appear to HIIT leading to more protein expression of fast-twitch muscles than slow-twitch muscles. thus likely HIIT exercises can be an important approach to increase protein synthesis and prevent muscle atrophy in people with type 2 diabetes.
      PubDate: 2022-08-05
       
  • Sensitivity and specificity of high frequency ultrasound score (DCEC) in
           diabetic peripheral neuropathy

    • Abstract: Objectives To summarize the ultrasonic characteristics of peripheral nerve damage in type 2 diabetes and to verify the diagnostic value of DCEC score for DPN. Methods A total of 289 patients with type 2 diabetes evaluated peripheral neuropathy with neuroultrasound and nerve conduction at the Affiliated Hospital of Guizhou Medical University from June 2016 to June 2020. According to the diagnostic criteria from 2017 guidelines of China, 289 patients with type 2 diabetes were divided into three groups: DPN group: 203 cases; subclinical group: 48 cases; and non-DPN group: 38 cases. Kruskal Wallis test was used to identify the differences and characteristics of ultrasound scores between the all groups. The best cut-off value, sensitivity and specificity of DCEC score were obtained by receiver operator characteristic curve. Taking the diagnostic standard of diabetes peripheral neuropathy as the “gold standard”, the best diagnostic threshold, sensitivity and specificity were obtained by drawing the ROC curve of DCEC score, and then the diagnostic value of DCEC score for DPN was verified Results Compared with non-DPN group, DCEC score in DPN group was significantly higher (P < 0.05). Otherwise,according to the ROC curve, the best cut-off value of DCEC score for DPN diagnosis was 12.5 (sensitivity 69.7%, specificity 71.1%). Conclusions The DCEC score system can effectively diagnose DPN with length-dependence,mainly including the increase of definition score.
      PubDate: 2022-08-05
       
  • Effect of Citrullus colocynthis on glycemic factors and lipid profile in
           type II diabetic patients: a systematic review and meta-analysis

    • Abstract: Purpose In this systematic review and meta-analysis, we investigated the effect and side effects of Citrullus colocynthis on glycemic factors and lipid profile in diabetic patients. Methods We systematically searched English and Persian databases from inception till August 2021 using Medical Subject Headings (MeSH). Two authors independently extracted data and assessed the quality of studies. The standardized mean differences were pooled using fixed-effect models, and statistical heterogeneity was assessed using the I squared (I²) index. Results Of the 321 articles searched in the databases, 136 related articles were screened, 14 relevant full-text articles were assessed for eligibility; finally, four articles were included in the study, three articles were entered into the meta-analysis. The results of the meta-analysis indicated that Citrullus colocynthis does not have a significant effect on fasting blood sugar (FBS), hemoglobin A1c (HBA1c), low-density lipoprotein (LDL), total cholesterol, and triglyceride indices but increases high-density lipoprotein (HDL) (Mean Difference: 5.76; 95% CI: 1.69 to 9.84; P = 0.006; I2 = 0%). Conclusions The meta-analysis results showed that Citrullus colocynthis has no significant effect on glycemic and metabolic indices of diabetes - except HDL. Due to the relatively low quality and the small number of included trials, conducting further large scale well-designed randomized clinical trials to determine the effect of Citrullus colocynthis on glycemic and metabolic indices seems essential.
      PubDate: 2022-08-05
       
  • Socio-economic inequality in prevalence of type 2 diabetes among adults in
           north-west of Iran: a Blinder-Oaxaca decomposition

    • Abstract: Background The aim of this study was to estimate the socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran. Methods A cross-sectional study was conducted in Ardabil with data from the PERSIAN Cohort Study. Diabetes has been measured by combining self-reported and clinical records. Based on the socio-economic status score, households divided into five quintiles. A multiple logistic regression model was used to examine the association between having diabetes and independent variables and the Blinder–Oaxaca (BO) method was used to decompose the socioeconomic inequality, respectively. Results The Overall age-adjusted prevalence of diabetes among 20,419 Ardabil’s adults was 14.3% (95% CI: 13.6 to 14.9). The prevalence of type 2 diabetes for the poorest and richest groups was 16.07% and 7.60%, the gap between the poorest and richest groups was 8.47%. The prevalence type 2 diabetes was significantly increasing with increasing in age (OR = 4.05, 95% CI = 3.27–5.02), BMI (OR: 3.10, 95%CI = 1.25–7.68), blood pressure (OR: 2.61, 95% CI = 2.37–2.88), and decreases with higher education level (OR = 0.78, 95% CI = 0.63–0.97). The richest-economic group has lower prevalence of diabetes (OR = 0.73, 95% CI = 0.60–0.88). The decomposition showed that most important factors affecting the difference between poorest and richest group in the prevalence of type 2 diabetes were age (86.1%), years of schooling (46.9%) and having chronic diseases such as hypertension (26.9%). Conclusions The present study showed that the prevalence of type 2 diabetes was significantly higher among the elderly, women, uneducated, obese, and poor populations. Policies that address people poverty such as increasing job opportunities, increasing the minimum income etc. could reduce diabetes risk for poor people.
      PubDate: 2022-08-05
       
  • Epidemiology of diabetes in Iran: A scoping review of studies published
           during 2015–2019

    • Abstract: Background Proper synthesis of existing epidemiologic studies on diabetes in Iran can guide future research efforts. We aimed to conduct a comprehensive scoping review on all research articles that investigated any aspect of diabetes epidemiology in Iran during 2015–2019. Methods This work was conducted as a part of the Iran Diabetes Research Roadmap and completed under Arksey and O'Malley’s framework for scoping reviews. The Scopus and PubMed databases were searched on Feb 15th, 2020. Eligible document types on diabetes epidemiology in the Iranian population, in Persian or English, that published during the 2015–2019 period underwent eligibility assessment. A total of 315 relevant articles were included and further analysis was performed on the original studies (n = 268). Through classifying them into six domains: Diabetes incidence; the prevalence of diabetes and associated factors; the incidence/prevalence of complications/comorbid conditions; mortality/survival; burden; and prediction modeling. Results In total, 64 (20.3%) papers were published in Q1 journals, and 40 (12.6%) were international collaborations. No clear annual trend was present in the number of published primary or secondary articles, the portion of papers published in Q1 journals, international collaborations or relative domain proportions. Few review articles were found on prediction modeling, mortality or burden (excluding global studies). Conclusions Our findings show a minor portion of works on diabetic epidemiology in Iran meets the quality standards of Q1 journals. Researchers have neglected some critical subjects and have occasionally fallen for common pitfalls of epidemiologic research. In particular, adhering to established guidelines can help authors implement rigorous methods to develop, validate, and deploy practical clinical prediction models. Researchers should prioritize investigating longitudinally collected data that aid in measuring disease incidence and enable casual inference.
      PubDate: 2022-08-04
       
  • Evaluation of curcumin effect on Il6, Sirt1, TNFα and NFkB expression of
           liver tissues in diabetic mice with STZ

    • Abstract: Background Curcumin is active ingredient of turmeric The main purpose of this study is evaluating impact of curcumin on suger, hypoalgesia and inflammatory factors in diabetic mice. Materials and methods Male mice divided into six groups of 6. One group as a negative and the other five groups injected with Streptozotocin (STZ) (200 mg/kg). Diabetic mice in each group given different treatments for twenty-one days.After that, blood sugar and neuroathy studies have been done and tissue samples the liver were studied for gene expression. Result Curcumin reduced blood sugar, but the rate of hypoglycemia was significantly lower than metformin group P > 0.05, and the comparison of the synergistic effect of curcumin and metformin with metformin was not significant P > 0.05. Also, in neuropathy studies, the groups which recieved curcumin and metformin have shown a significant difference with diabetic group P < 0.01, Also, by evaluating inflammatory factors, there was a significant difference in the expression of TNF-a, IL-6 and NfkB, but there is no significant difference in the expression of Sirt1 P < 0.05. Conclusions The analgesic effect of curcumin was quite evident, probably due to the significant impact of this herbal drug in reducing the expression of inflammatory genes NF-kB, IL6, and TNF-α.
      PubDate: 2022-08-04
       
  • Leptadenia hastata Leaf Extract ameliorates oxidative stress and serum
           biochemical parameters in Streptozotocin-Induced diabetes in Wistar rats

    • Abstract: Introduction : Diabetes Mellitus is a major health problem characterized by hyperglycemia and disturbances in metabolism and implicated in causing oxidative stress. Treatment includes administration of oral hypoglycaemic agents with lifestyle modifications, these offer glycemic control, however, present limitations about availability, affordability and side effects. Traditional anti-diabetic plants are becoming popular in management of diabetes mellitus. This study was carried out to determine the efficacy of Leptadenaia hastata in treatment of diabetes. Materials and methods Diabetes mellitus was induced in using a single injection of streptozotocin (50 mg kg− 1 i.p.). The rats were divided into four groups of 5 rats each. Groups 3–6 received olive oil, 100 mg kg− 1 extract, 200 mg.kg− 1 extract and insulin (6IU kg− 1), respectively. 10 non-diabetic rats were grouped into two group receiving olive oil and 200 mg kg− 1 extract for 28 days. All groups were sacrificed by injecting with ketamine hydrochloride, blood was collected by cardiac puncture and centrifuged. The serum was analyzed for biochemical parameters. The liver was removed and homogenized with the supernatant of the resultant homogenate collected and used for analysis of oxidative stress enzymes. Results The extract significantly decreased serum AST (p < 0.05), ALP (p < 0.001), ALT (p < 0.05), TG (p < 0.01), TC (p < 0.001), creatinine (p < 0.001). It had no effect on SOD and CAT levels but it significantly increased (p < 0.001) GSH levels and reduced (p < 0.05) MDA level. Conclusions The n-hexane extract of Leptadenia hastata significantly decreased the levels of hepatic and renal serum biomarkers proving that it was beneficial in ameliorating diabetic related complications. The extract significantly increased GSH levels and reduced MDA level.
      PubDate: 2022-08-03
       
  • Cannabis and metformin on diabetic male Wistar rat sperm and reproductive
           organ parameters

    • Abstract: Purpose Cannabis use has reportedly increased in type 2 diabetic users as a possible co-treatment for associated pain and inflammation. Both cannabis and metformin (an anti-diabetic drug) have a limited number of studies completed on their effect on male reproductive parameters in a diabetic model. This study determined if cannabis and metformin administration alter various reproductive parameters in diabetic male rats. Methods Male Wistar rats (n = 35) were fed on a high fat diet and injected with streptozotocin (30 mg/kg rat) to induce a type-2 diabetic model. Treatment groups received cannabis based on Delta-9-Tetrahydrocannabinol (THC) concentrations of 1.25, 2.5 and 5 mg/kg per rat and metformin (50 mg/kg) every alternate day for 10 weeks. Organ weight; serum testosterone levels and sperm count, motility, lipid peroxidation, citrate synthase and lactate dehydrogenase activities were measured. Results Cannabis treatment induced a significant concentration dependent decrease in sperm motility at 5 mg/kg rat THC (P = 0.009) administration. Metformin significantly (P = 0.035) increased sperm counts and lactate dehydrogenase activity (P = 0.002). Both cannabis and metformin negatively affected testosterone concentrations. Conclusions Cannabis needs to be used cautiously as an alternative treatment in diabetic males based on the negative effects observed for the various reproductive parameters in this diabetic rat model.
      PubDate: 2022-07-29
       
  • Parental marital relationship satisfaction is associated with glycemic
           outcomes in children with type 1 diabetes

    • Abstract: Objectives We hypothesized that glycemic outcomes in children with type 1 diabetes are linked to marital satisfaction of primary caregivers above and beyond parent neuroticism and child effortful control. Methods We evaluated a cross-sectional sample of 73 married parent families with a child (ages 7–18 years) with type 1 diabetes of at least 2 years duration. We assessed marital relationship satisfaction, parent neuroticism, and child effortful control through the use of validated questionnaires. We used univariate comparisons and multivariable models to determine whether marital relationship satisfaction was associated with hemoglobin A1c [HbA1c] and whether this association persisted after adjusting for demographic factors and parent neuroticism/child effortful control. Results In univariate analyses, HbA1c was associated with marital relationship satisfaction of the primary caregiver. In multivariable models adjusting for demographic factors, marital satisfaction remained associated with HbA1c, whereas none of the other factors tested (including family income and race/ethnicity) retained significance. In univariate analyses, child effortful control was also associated with HbA1c. When child effortful control was added to the multivariable model, marital satisfaction remained associated with HbA1c with similar coefficient and confidence intervals describing the relationship between marital satisfaction and hemoglobin A1c. Conclusions Higher levels of marital satisfaction of the primary diabetes caregiver are associated with glycemic outcomes for children with type 1 diabetes. Interventions to improve spousal relationships may have downstream benefits that could include promoting more optimal child HbA1c levels.
      PubDate: 2022-07-29
       
  • Circulating salivary and serum miRNA-182, 320a, 375 and 503 expression
           levels in type 2 diabetes

    • Abstract: Aim Early-stage diagnosis of diabetes through non-invasive and diagnostic biofluid-like saliva has become a very popular approach to facilitate future preventive interventions and improve patient care. Meanwhile, the alteration of small non-coding RNA in human fluids has been suggested as a probable precedent for the early stages of diabetes. Methods In the present study, we checked the expression of miR-320a, 182-5p, 503, and 375 by using quantitative PCR in both stimulated and unstimulated saliva and blood samples of 40 adult patients with type-2 diabetes compared to 40 healthy individuals. In addition, we have sought to understand the possibility that miRNAs could provide new information about the status of type 2 diabetes in salivary samples beyond what can now be identified from blood samples and link their expression to the presence of clinically relevant risk factors. For this purpose, we have used a set of multivariate models. Results The results showed that three miRNAs were more highly expressed in patients with type 2 diabetes, while miR-320-a was down-regulated in those patients compared to healthy subjects. Furthermore, the data showed that miR-320a was the most reliable predictor for distinguishing diabetic patients from healthy subjects, with AUCs of 0.997, 0.97, and 0.99 (97.4% sensitivity and 100% specificity, p = 0.001) for serum, unstimulated, and stimulated saliva samples, respectively. Conclusions Interestingly, the results of this study indicated that the amount of four miRNAs expressed in stimulated saliva was the same as in serum samples, which could conclude that specific miR-320a and 503 in stimulated saliva may introduce credible, non-invasive, and diagnostic biomarkers that can be used to monitor diabetic patients' status, while there is a need to design more research studies to confirm these findings.
      PubDate: 2022-07-28
       
  • Diabetes-related distress and its association with the complications of
           diabetes in Iran

    • Abstract: Purpose Diabetes-related distress (DRD) has negative emotional effects on the patients’ quality of life. This is while the condition often goes undiagnosed despite it being common among diabetic patients. This study investigated the prevalence of DRD and its association with diabetes complications among a group of Iranian type 2 diabetic patients (T2DM). Methods This descriptive-analytical cross-sectional study was conducted on 186 T2DM patients referred to a diabetes clinic in a teaching hospital from the beginning of May 2019 to the end of April 2020. Two questionnaires on disease-related information and diabetes distress screening scale (DDS) were filled out for each patient. The latter was divided into four domains, emotional burden (EB), diabetes-related interpersonal distress (ID), physician-related distress (PD), and regimen-related distress (RD). In addition to the frequency of DRD and its association with age, sex, body mass index (BMI), hypertension, hemoglobin A1C, duration of disease, and type of medication regimen (oral, insulin, or mix) along with the history of cardiovascular disease (CVDs), retinopathy, nephropathy, and diabetic foot were assessed. Results DRD was reported in 47% of the patients. Being female, old age, hypertension, high hemoglobin A1C levels, nephropathy, and retinopathy were significantly associated with DRD (P-value =  < 0.001, 0.013, 0.014, 0.007, 0.001, and 0.004, respectively). The history of the diabetic foot had a significant relationship with PD and ID (P-value = 0.007 and < 0.001, respectively). Multivariate regression showed gender and the existence of complications to have a direct effect on the development of DRD. Conclusion DRD prevalence is relatively high and requires screening to identify and treat high-risk patients. Further studies are needed to study diabetes, its complications and their relation with DRD to help reduce such conditions and improve the patient’s quality of life.
      PubDate: 2022-07-27
       
  • Predicting diabetic nephropathy in type 2 diabetic patients using machine
           learning algorithms

    • Abstract: Background Global healthcare centers today are challenged by the dramatic increase in the prevalence of diabetes. Also, complications from diabetes are a major cause of deaths worldwide. One of the most frequent microvascular complications in diabetic patients is diabetic nephropathy (DN) which is the leading cause of death and end-stage renal disease (ESRD). Despite the different risk factors for DN identified in previous research, machine learning (ML) methods can help determine the importance of the predictors and prioritize them. Objective The main focus of this investigation is on predicting the incidence of DN in type 2 diabetic mellitus (T2DM) patients using ML algorithms. Methods Demographic information, laboratory results, and examinations on 6235 patients with T2DM covering a period of 10 years (2011–2020) were extracted from the electronic database of the Diabetes Clinic of the Imam Khomeini Hospital Complex (IKHC) in Iran. Recursive feature elimination using the cross-validation (RFECV) technique was then used with the three classification algorithms to select the important risk factors. Next, five ML algorithms were used to construct a predictive model for DN in T2DM patients. Finally, the results of the algorithms were evaluated according to the AUC criteria and the one with the best performance in terms of prediction and classification was selected. Results The 18 DN risk factors selected by RFECV were age, diabetes duration, BMI, SBP, hypertension, retinopathy, ALT, CVD, 2HPP, uric acid, HbA1c, waist-to-hip ratio, cholesterol, LDL, HDL, FBS, triglyceride, and serum insulin. Based on a 10-fold cross-validation, the best performance among the five classification algorithms was that of the random forest with 85% AUC. Conclusions This investigation validates the known risk factors for DN and emphasizes the importance of controlling the blood pressure, weight, cholesterol, and blood sugar of T2DM patients. In addition, as an example of the application of ML approaches in medical predictions, the findings of this study demonstrate the advantages of using these techniques.
      PubDate: 2022-07-26
       
  • SARS-CoV-2 infection may enhance the adverse effect of thyroid disturbance
           on climacteric symptoms

    • PubDate: 2022-07-24
       
  • Efficacy of the holistic, psychonutritional approach of Centro DAI e
           Obesità di Città della Pieve in the management of type 2 diabetes among
           patients with obesity and dysfunctional eating

    • Abstract: Purpose Dysfunctional eating is strongly associated with obesity and worsens type 2 diabetes (T2DM) outcomes. The aim of this study was to investigate the effectiveness of the psycho-nutritional treatment (PNT) of “Centro DAI e Obesità” of Città della Pieve on weight loss and glucose management in dysfunctional eaters with obesity and T2DM. Methods PNT includes psychotherapeutical, nutritional, physical and social activities. Subjects with obesity, T2DM and dysfunctional eating habits who completed the 8 weeks residential program between 2010 and 2019 were compared with obese, T2DM, dysfunctional eaters who underwent to a conventional, hospital-based, nutritional treatment (CT). Anthropometric variables, glucolipid panel, and body composition were assessed at baseline and at the end of the program. Weight and HbA1c were also measured after one year from the completion. Results Sixty-nine patients completed the PNT and reduced weight (−7 ± 3.2%; p < 0.001), BMI (−7 ± 3.1%; p < 0.001), and triglycerides, AST, GGT and ALT (p ≤ 0.008); glycemic control improved (HbA1c: −1.1 ± 1.5%, mean fasting glucose: −41 ± 46 mg/dl, p < 0.001). Eleven% of subjects requiring diabetes medications at baseline discontinued the therapy. In the insulin treated group (49%), mean daily units were halved (−32.6 ± 26.0, p < 0.001). At one year, weight loss (−6 ± 7.4%, p < 0.001) and HbA1c reduction (−0.52 ± 1.4%, p = 0.029) persisted. Fifty-five patients completed the CT: HbA1c reduced (p = 0.02), but weight (−0.6 ± 3.7%), BMI (−0.7 ± 3.8%), and insulin units’ reduction (−2.5 ± 11.7, p = 0.20) were lower compared to the PNT. Conclusion PNT is effective in improving T2DM management in patients with obesity and dysfunctional eating.
      PubDate: 2022-07-22
       
  • Appraisal of SARS-CoV-2 mutations and their impact on vaccination
           efficacy: an overview

    • Abstract: Abstract With the unexpected emergence of the novel 2019 Wuhan coronavirus, the world was faced with a sudden uproar that quickly shifted into a serious life-threatening pandemic. Affecting the lives of the global population and leaving drastic damage in various sections and systems, several measures have been constantly taken to tackle down this crisis. For instance, numerous vaccines have been developed in the past two years, some of which have been granted emergency use, thus providing sufficient immunity to the vaccinated individuals. However, the appearance of newly emerged SARS-CoV-2 variants with accelerated transmission and fatality has led the world towards another pandemic. Having undergone various mutations in genomic and/or amino acid profiles, some of the emerged variants of concern (VOCs) including Alpha, Beta, Gamma, and Delta have displayed immune evasion and pathogenicity even in the vaccinated population, hence raising concerns regarding the efficacy of current vaccines against new VOCs of COVID-19. Therefore, genomic investigations of SARS-CoV-2 mutations are expected to provide valuable insight into the evolution of SARS-CoV-2, while also determining the impact of different mutations on infection severity. This study was constructed with the aim of shining light on recent advances regarding mutations in major COVID-19 VOCs, as well as vaccination efficacy against those VOCs.
      PubDate: 2022-07-22
       
 
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