Global research trends on bioflocculant potentials in wastewater remediation from 1990 to 2019 using a bibliometric approach

The preference of biofloculants over chemical flocculants in water and wastewater remediation systems has gained wider attention due to their biodegradability, innocuousness, safety to human and environmental friendliness. The present study aimed to evaluate research outputs on bioflocculant potentials in wastewater remediation from 1990 to 2019 using bibliometric analyses. To the best of our knowledge, this is the first bibliometric report in bioflocculant research. The subject bibliometric dataset was extracted from the Web of Science Core Collection (WoSCC) and Scopus using the Boolean, ‘bioflocculant* and waste*’ and analysed for indicators such as a yearly trend, productivity (authors, articles, country, institution and journal source), conceptual framework and collaboration network. We found 119 documents with 347 authors from 78 journal sources on the subject, an annual growth rate of 12·1%, and average citations/document of 15·08. Guo J. and Wang Y. were the top researchers with 15 and 12 outputs respectively. China (42%) and South Africa (9·24%) ranked the top two dominant countries in the field. The top journals were Bioresource Technology (9 papers, 506 citations), Applied Microbiology and Biotechnology (5 papers, 268 citations), whereas, the top institution was Chengdu University of Information and Technology (n = 9 documents) followed by Sichuan Univ. Sci. & Engn, China (n = 8 documents). This study found that lack of intercountry collaboration and research funding adversely affects research participants in the field.     

A metabolomics approach to investigate the proceedings of mitochondrial dysfunction in rats from prediabetes to diabetes

BackgroundDiabetes mellitus (DM) is a leading cause of preventable cardiovascular disease, but the metabolic changes from prediabetes to diabetes have not been fully clarified. This study implemented a metabolomics profiling platform to investigate the variations of metabolites and to elucidate their global profiling from metabolic syndrome to DM. Methods: Male Sprague-Dawley rats (n = 44) were divided into four groups. Three groups were separately fed with a normal diet, a high-fructose diet (HF), or a high-fat (HL) diet while one group was treated with streptozotocin. The HF and HL diet were meant to induce insulin resistance, obesity, and dyslipidemia, which known to induce DM. Results: The most significant metabolic variations in the DM group’s urine samples were the reduced release of citric acid cycle intermediates, the increase in acylcarnitines, and the decrease in urea excretion, all of which indicated energy metabolism abnormalities and mitochondrial dysfunction. Overall, the metabolic analysis revealed tryptophan metabolic pathway variations in the prediabetic phase, even though the mitochondrial function remains unaffected. Conclusion: This study show that widespread methylations and impaired tryptophan metabolism occur in metabolic syndrome and are then followed by a decline in citric acid cycle intermediates, indicating mitochondrial dysfunction in diabetes.     

Differences in motor unit behavior during isometric contractions in patients with diabetic peripheral neuropathy at various disease severities

The aim of this study was to determine whether HD-sEMG is sensitive to detecting changes in motor unit behavior amongst healthy adults and type 2 diabetes mellitus (T2DM) patients presenting diabetic peripheral neuropathy (DPN) at different levels. Healthy control subjects (CON, n = 8) and T2DM patients presenting no DPN symptoms (ABS, n = 8), moderate DPN (MOD, n = 18), and severe DPN (SEV, n = 12) performed isometric ankle dorsiflexion at 30 % maximum voluntary contraction while high-density surface EMG (HD-sEMG) was recorded from the tibialis anterior muscle. HD-sEMG signals were decomposed, providing estimates of discharge rate, motor unit conduction velocity (MUCV), and motor unit territory area (MUTA). As a result, the ABS group presented reduced MUCV compared to CON. The groups with diabetes presented significantly larger MUTA compared to the CON group (p < 0.01), and the SEV group presented a significantly lower discharge rate compared to CON and ABS (p < 0.01). In addition, the SEV group presented significantly higher CoV_force compared to CON and MOD. These results support the use of HD-SEMG as a method to detect peripheral and central changes related to DPN.     

The contribution of gastrointestinal microbiota in the existence of type 2 diabetes in Saudi Arabia: Current information and perspectives

Diabetes mellitus (DM) is a genuine international health issue, with Saudi Arabia ranking among the top nations with the largest diabetes prevalence. Following the International Diabetes Federation (IDF), 3.8 million Saudi Arabian people had diabetes in 2014. The occurrence of diabetes in Saudi Arabia is likely to elevate due to the current trend in the general rise of socio-economic status, which positively correlates with diabetes prevalence. The incidence of Type 2 diabetes (T2D) is highest within the age group ≥ 45 years, especially in Riyadh and Jeddah, the metro cities of Saudi Arabia. Previous studies have shown that the incidence of T2D is larger in urban regions (25.5%) than in rural regions (19.5%). Both Riyadh and Jeddah are urban areas with different food habits and locations in Saudi Arabia. Recent studies have indicated the correlation between altered alimentary tract microbiota with type 2 diabetes. Gut microbiota plays a critical role in degrading undigested dietary compounds and releasing a vast array of metabolites that directly and indirectly affects host health. In the current review, we shed light on the state of information on the realization of the types and functions of the alimentary tract microbiome and how it plays a causative agent in the up growth of T2D.     

Urinary Collagen Fragments Are Significantly Altered in Diabetes: A Link to Pathophysiology

Background

The pathogenesis of diabetes mellitus (DM) is variable, comprising different inflammatory and immune responses. Proteome analysis holds the promise of delivering insight into the pathophysiological changes associated with diabetes. Recently, we identified and validated urinary proteomics biomarkers for diabetes. Based on these initial findings, we aimed to further validate urinary proteomics biomarkers specific for diabetes in general, and particularity associated with either type 1 (T1D) or type 2 diabetes (T2D).

Methodology/Principal Findings

Therefore, the low-molecular-weight urinary proteome of 902 subjects from 10 different centers, 315 controls and 587 patients with T1D (n = 299) or T2D (n = 288), was analyzed using capillary-electrophoresis mass-spectrometry. The 261 urinary biomarkers (100 were sequenced) previously discovered in 205 subjects were validated in an additional 697 subjects to distinguish DM subjects (n = 382) from control subjects (n = 315) with 94% (95% CI: 92–95) accuracy in this study. To identify biomarkers that differentiate T1D from T2D, a subset of normoalbuminuric patients with T1D (n = 68) and T2D (n = 42) was employed, enabling identification of 131 biomarker candidates (40 were sequenced) differentially regulated between T1D and T2D. These biomarkers distinguished T1D from T2D in an independent validation set of normoalbuminuric patients (n = 108) with 88% (95% CI: 81–94%) accuracy, and in patients with impaired renal function (n = 369) with 85% (95% CI: 81–88%) accuracy. Specific collagen fragments were associated with diabetes and type of diabetes indicating changes in collagen turnover and extracellular matrix as one hallmark of the molecular pathophysiology of diabetes. Additional biomarkers including inflammatory processes and pro-thrombotic alterations were observed.

Conclusions/Significance

These findings, based on the largest proteomic study performed to date on subjects with DM, validate the previously described biomarkers for DM, and pinpoint differences in the urinary proteome of T1D and T2D, indicating significant differences in extracellular matrix remodeling.     

Decreasing the Burden of Type 2 Diabetes in South Africa: The Impact of Taxing Sugar-Sweetened Beverages

Introduction

Type 2 diabetes poses an increasing public health burden in South Africa (SA) with obesity as the main driver of the epidemic. Consumption of sugar sweetened beverages (SSBs) is linked to weight gain and reducing SSB consumption may significantly impact the prevalence of obesity and related diseases. We estimated the effect of a 20% SSB tax on the burden of diabetes in SA.

Methods and Findings

We constructed a life table-based model in Microsoft Excel (2010). Consumption data from the 2012 SA National Health and Nutrition Examination Survey, previously published own- and cross-price elasticities of SSBs and energy balance equations were used to estimate changes in daily energy intake and its projected impact on BMI arising from increased SSB prices. Diabetes relative risk and prevalent years lived with disability estimates from the Global Burden of Disease Study and modelled disease epidemiology estimates from a previous study were used to estimate the effect of the BMI changes on diabetes burden. Diabetes cost estimates were obtained from the South African Council for Medical Schemes. Over 20 years, a 20% SSB tax could reduce diabetes incident cases by 106 000 in women (95% uncertainty interval (UI) 70 000–142 000) and by 54 000 in men (95% UI: 33 000–80 000); and prevalence in all adults by 4.0% (95% UI: 2.7%-5.3%). Cumulatively over twenty years, approximately 21 000 (95% UI: 14 000–29 000) adult T2DM-related deaths, 374 000 DALYs attributed to T2DM (95% UI: 299 000–463 000) and over ZAR10 billion T2DM healthcare costs (95% UI: ZAR6.8–14.0 billion) equivalent to USD860 million (95% UI: USD570 million–USD1.2 billion) may be averted.

Conclusion

Fiscal policy on SSBs has the potential to mitigate the diabetes epidemic in South Africa and contribute to the National Department of Health goals stated in the National NCD strategic plan.     

Diabetes Self-Management and Education of People Living with Diabetes: A Survey in Primary Health Care in Muscat Oman

Background

Although the prevalence of type 2 diabetes in Oman is high and rising, information on how people were self-managing their disease has been lacking. The objective of this study was therefore to assess diabetes self-management and education (DSME) among people living with type 2 diabetes in Oman.

Methods

A questionnaire survey was conducted in public primary health care centres in Muscat. Diabetes self-management and education was assessed by asking how patients recognized and responded to hypo- and hyperglycaemia, and if they had developed strategies to maintain stable blood glucose levels. Patients'' demographic information, self-treatment behaviours, awareness of potential long-term complications, and attitudes concerning diabetes management were also recorded. Associations between these factors and diabetes self-management and education were analysed.

Results

In total, 309 patients were surveyed. A quarter (26%, n = 83) were unaware how to recognize hypoglycaemia or respond to it (26%, n = 81). Around half (49%, n = 151), could not recognize hyperglycaemia and more than half could not respond to it (60%, n = 184). Twelve percent (n = 37) of the patients did not have any strategies to stabilize their blood glucose levels. Patients with formal education generally had more diabetes self-management and education than those without (p<0.001), as had patients with longer durations of diabetes (p<0.01). Self-monitoring of blood glucose was practiced by 38% (n = 117) of the patients, and insulin was used by 22% (n = 67), of which about one third independently adjusted dosages. Patients were most often aware of complications concerning loss of vision, renal failure and cardiac problems. Many patients desired further health education.

Conclusions

Many patients displayed dangerous diabetes self-management and education knowledge gaps. The findings suggest a need for improving knowledge transfer to people living with diabetes in the Omani clinical setting.     

Evaluation of Lipohypertrophy in Patients With Type 1 Diabetes Mellitus on Multiple Daily Insulin Injections or Continuous Subcutaneous Insulin Infusion

ObjectiveTo determine lipohypertrophy (LH) in patients with type 1 diabetes mellitus (T1DM) on multiple daily insulin injections (MDII) or continuous subcutaneous insulin infusion (CSII) and to reveal the factors associated with the development and severity of LH.MethodsSixty-six patients with T1DM treated with MDII (n = 35, 53%) or CSII (n = 31, 47%) for at least 1 year were included. LH localizations were detected with palpation and ultrasonography (USG).ResultsThe LH detection rate with USG was significantly higher than that by palpation in the whole group (P < .001). The LH was detected with USG in 30 (85.7%) patients in the MDII group and 22 (71.0%) patients in the CSII group (P = .144). Advanced LH was detected in 13 (37.1%) of the patients treated with MDII and in 3 (9.7%) of the patients treated with CSII. LH was more severe in the MDII group than in the CSII group (P = .013). Diabetes duration and length of infusion set use were significantly longer and body mass index, hypoglycemia, and complication rates were higher in patients with LH than those in patients without LH (P < .05). A positive correlation was found between LH severity and HbA1C and insulin dose (P < .05, for both). MDII as insulin administration method, incorrect rotation, and a history of ketosis were found to be the most related factors with LH severity in a multiple linear regression analysis (P < .05).ConclusionUSG might be an effective approach for detecting and evaluating the severity of LH. MDII might cause more severe LH than CSII in patients with T1DM. In this study, LH was found to be associated mostly with incorrect rotation technique and a history of ketosis.     

Betaine and Trimethylamine-N-Oxide as Predictors of Cardiovascular Outcomes Show Different Patterns in Diabetes Mellitus: An Observational Study

Background

Betaine is a major osmolyte, also important in methyl group metabolism. Concentrations of betaine, its metabolite dimethylglycine and analog trimethylamine-N-oxide (TMAO) in blood are cardiovascular risk markers. Diabetes disturbs betaine: does diabetes alter associations between betaine-related measures and cardiovascular risk?

Methods

Plasma samples were collected from 475 subjects four months after discharge following an acute coronary admission. Death (n = 81), secondary acute MI (n = 87), admission for heart failure (n = 85), unstable angina (n = 72) and all cardiovascular events (n = 283) were recorded (median follow-up: 1804 days).

Results

High and low metabolite concentrations were defined as top or bottom quintile of the total cohort. In subjects with diabetes (n = 79), high plasma betaine was associated with increased frequencies of events; significantly for heart failure, hazard ratio 3.1 (1.2–8.2) and all cardiovascular events, HR 2.8 (1.4–5.5). In subjects without diabetes (n = 396), low plasma betaine was associated with events; significantly for secondary myocardial infarction, HR 2.1 (1.2–3.6), unstable angina, HR 2.3 (1.3–4.0), and all cardiovascular events, HR 1.4 (1.0–1.9). In diabetes, high TMAO was a marker of all outcomes, HR 2.7 (1.1–7.1) for death, 4.0 (1.6–9.8) for myocardial infarction, 4.6 (2.0–10.7) for heart failure, 9.1 (2.8–29.7) for unstable angina and 2.0 (1.1–3.6) for all cardiovascular events. In subjects without diabetes TMAO was only significant for death, HR 2.7 (1.6–4.8) and heart failure, HR 1.9 (1.1–3.4). Adding the estimated glomerular filtration rate to Cox regression models tended to increase the apparent risks associated with low betaine.

Conclusions

Elevated plasma betaine concentration is a marker of cardiovascular risk in diabetes; conversely low plasma betaine concentrations indicate increased risk in the absence of diabetes. We speculate that the difference reflects control of osmolyte retention in tissues. Elevated plasma TMAO is a strong risk marker in diabetes.     

Digital Health and Shared Decision-Making in Diabetes Care – A Survey Initiative in Patients and Clinicians

ObjectiveTo assess the landscape of digital health resources in the United States, better understand the impact of the digital health on shared decision-making, and identify potential barriers and opportunities for progress in the care of persons with diabetes.MethodsThe study consisted of two phases: A qualitative phase in which one-on-one interviews were conducted virtually with 34 physicians (endocrinologists {Endos}: n = 15; primary care physicians {PCPs}: n = 19) between February 11, 2021 and February 18, 2021, and a quantitative phase in which two online, email-based surveys in the English language were conducted between April 16, 2021 and May 17, 2021: one with healthcare professionals (HCP) (n = 403: n = 200 Endos and n = 203 PCPs), and one with persons with diabetes (n = 517: patients with type 1 diabetes, n = 257; patients with type 2 diabetes, n = 260).ResultsDiabetes digital health tools were found to be helpful in shared decision-making, but leading barriers include cost, coverage, and lack of time by healthcare professionals. Among diabetes digital health tools, continuous glucose monitoring (CGM) systems were used most commonly and viewed as most effective in improving quality of life and facilitating shared decision-making. Strategies for increasing use of diabetes digital health resources included lower cost, integration into electronic health records, and increased simplicity of tools.ConclusionThis study revealed that both Endos and PCPs feel that diabetes digital health tools have an overall positive impact. Integration with telemedicine and simpler, lower cost tools with increased patient access can further facilitate shared decision-making and improved diabetes care and quality of life.     

Global population genetic dynamics of a highly migratory,apex predator shark

Knowledge of genetic connectivity dynamics in the world's large‐bodied, highly migratory, apex predator sharks across their global ranges is limited. One such species, the tiger shark (Galeocerdo cuvier), occurs worldwide in warm temperate and tropical waters, uses remarkably diverse habitats (nearshore to pelagic) and possesses a generalist diet that can structure marine ecosystems through top‐down processes. We investigated the phylogeography and the global population structure of this exploited, phylogenetically enigmatic shark by using 10 nuclear microsatellites (n = 380) and sequences from the mitochondrial control region (CR, n = 340) and cytochrome oxidase I gene (n = 100). All three marker classes showed the genetic differentiation between tiger sharks from the western Atlantic and Indo‐Pacific ocean basins (microsatellite F_ST > 0.129; CR Φ_ST > 0.497), the presence of North vs. southwestern Atlantic differentiation and the isolation of tiger sharks sampled from Hawaii from other surveyed locations. Furthermore, mitochondrial DNA revealed high levels of intraocean basin matrilineal population structure, suggesting female philopatry and sex‐biased gene flow. Coalescent‐ and genetic distance‐based estimates of divergence from CR sequences were largely congruent (d_corr = 0.0015–0.0050), indicating a separation of Indo‐Pacific and western Atlantic tiger sharks <1 million years ago. Mitochondrial haplotype relationships suggested that the western South Atlantic Ocean was likely a historical connection for interocean basin linkages via the dispersal around South Africa. Together, the results reveal unexpectedly high levels of population structure in a highly migratory, behaviourally generalist, cosmopolitan ocean predator, calling for management and conservation on smaller‐than‐anticipated spatial scales.     

Shorter leukocyte telomere length is associated with severity of COVID-19 infection.

The infection by COVID-19 is a serious global public health problem. An efficient way to improve this disease's clinical management would be to characterize patients at higher risk of progressing to critically severe infection using prognostic biomarkers. The telomere length could be used for this purpose. Telomeres are responsible for controlling the number of maximum cell divisions. The telomere length is a biomarker of aging and several diseases. We aimed to compare leukocyte telomere length (LTL) between patients without COVID-19 and patients with different clinical severity of the infection. Were included 53 patients who underwent SARS-CoV-2 PCR divided in four groups. The first group was composed by patients with a negative diagnosis for COVID-19 (n = 12). The other three groups consisted of patients with a confirmed diagnosis of COVID-19 divided according to the severity of the disease: mild (n = 15), moderate (n = 17) and severe (n = 9). The LTL was determined by Q-PCR. The severe group had the shortest LTL, followed by the moderate group. The negative and mild groups showed no differences. There is an increase of patients with hypertension (p = 0.0099) and diabetes (p = 0.0067) in moderate and severe groups. Severe group was composed by older patients in comparison with the other three groups (p = 0.0083). Regarding sex, there was no significant difference between groups (p = 0.6279). In an ordinal regression model, only LTL and diabetes were significantly associated with disease severity. Shorter telomere length was significantly associated with the severity of COVID-19 infection, which can be useful as a biomarker or to better understand the SARS-CoV-2 pathophysiology.     

Association between self-care management practices and glycemic control of patients with type 2 diabetes mellitus in Saud Arabia: A cross –sectional study

ObjectiveIn this cross-sectional study, we aimed to determine the association of self-care management practices and glycemic control of type 2 diabetes mellitus in Saudi Arabia.MethodsA total of 352 type 2 diabetes mellitus (T2DM) patients from two public tertiary hospitals in Saudi Arabia participated in this study. All T2DM patients were recruited and interviewed by a researcher between January to April 2018 from the outpatient diabetes clinics. All respondents answered a four-part questionnaire which includes demographics data, Diabetes Self-Management Questionnaire (DSMQ). Linear Regression was performed to assess the significance of predictors and compute the coefficient of determination.ResultsThe mean age of the participants was 51.89 ± 10.94. Of the 352 participants, 52% were obese (BMI: ≥30 kgm²) and 77% of the participants had glycated haemoglobin (HbA1c) over 7%. The analysis showed that subscale of Glucose management was the strongest predictor of Hba1c levels of participants’ followed by physical activity. Gender and marital status emerged as significant predictors for their self-care management practices. Female patients had more self-care management practices than male patients (B 0.20; 95CI 0.10– 0.96 (p = 0.015).ConclusionThis study provides an evidence on the self-care management of T2DM patients in Saudi Arabia. The high self-care management found in the study highlights that the patients are aware of the severity of and possible complications associated with T2DM.     

Periodontal Disease in Type 1 Diabetes Mellitus: Influence of Pubertal Stage and Glycemic Control

ObjectiveThough gingivitis is common in children with type 1 diabetes mellitus (T1DM), the overall periodontal health in T1DM during the pubertal stage is less well-characterized. The study was undertaken to explore the possible influence of puberty and metabolic derangement on periodontal health in T1DM.MethodsIn this cross-sectional study, 110 subjects between 10-18 years with T1DM and 52 healthy siblings of similar age were evaluated for pubertal stage, glycosylated hemoglobin (HbA1c), and periodontal health. Simplified oral hygiene index (OHIS), gingival index (GI), plaque index (PI), bleeding on probing (BOP), and probing depth (PPD) were evaluated at 4 sites per tooth as per 6 Ramfjord index teeth used to assess periodontal disease (PD).ResultsPD not merely gingivitis was significantly higher in T1DM (84/110, 76.36%) than the control group (28/52, 53.8%) (P = .004). Irrespective of pubertal status, children with T1DM had worse GI, PI, BOP, and PPD than nondiabetic subjects, although OHIS was better in diabetes. In both T1DM and nondiabetic subjects, pubertal subjects showed significantly worse OHIS, PPD, BOP, and GI than prepubertal subjects. PD was correlated with pubertal stage, age, and HbA1c, although less strongly with the duration of diabetes. In logistic regression, pubertal stage was a stronger predictor of PD (OR = 14.26) than age (OR = 2.22), and HbA1c (OR = 1.5) rather than the presence of diabetes and its duration.ConclusionsThough pubertal status, age, and poor glycemic control rather than the presence of diabetes and its duration are associated with gingivitis and other forms of PD, puberty had a more profound effect in the pathogenesis of PD in T1DM.     

LC-MS-based untargeted metabolomics reveals the mechanism underlying prostate damage in a type 2 diabetes mouse model

Type 2 diabetes mellitus (T2DM) can cause prostate damage and affect male reproductive function, but the underlying mechanisms are not completely understood. In this study, we used liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics to identify endogenous metabolites in the prostate of a T2DM mouse model. The selected endogenous metabolites were then subjected to bioinformatics analysis and metabolic pathway studies to understand their role in the development of T2DM-induced prostate damage. We used male homozygous BTBR ob/ob mice (n = 12) and BTBR WT mice (n = 11) in this study. We monitored changes in blood glucose, body weight, prostate weight, and prostate index, as well as performed hematoxylin and eosin (H&E) staining and observed that the prostate of the BTBR ob/ob was damaged. We then used ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) for metabolomics analysis. The stability of the model was validated using principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). Using variable importance in projection (VIP) > 1, false discovery rate (FDR) < 0.05, and coefficient of variation (CV) < 30 as criteria, a total of 149 differential metabolites (62 upregulated and 87 downregulated) were identified between the prostates of the two groups of mice. Topological pathway analysis showed that these differential metabolites were mainly involved in sphingolipid (SP) and glycerophospholipid (GP) metabolism. In conclusion, our study not only emphasizes the damage caused by T2DM to the prostate but also provides new insights into the potential mechanisms of T2DM-induced male reproductive dysfunction.     

Breeding biology of Saunders’s tern (Sterna saundersi) in the Farasan Islands,Kingdom of Saudi Arabia

Saunders’s terns (Sternula saundersi) are a small, ground-nesting marine bird species that have a massive rearing range, including the shores and islands of Asia and Africa adjacent to the north Indian Ocean. Despite occupying a large breeding range, little is known about the breeding ecology of this species. This research explored aspects of Saunders’s terns’ breeding ecology and predation rate in 2013 on the Farasan Islands of Saudi Arabia. The outcomes confirm that the mean clutch size of a Saunders’s tern was 1.77 ± 0.08 (n = 31) eggs per clutch and the mean egg size was 31.05 × 23.15 mm. The results of this study show a remarkable relationship between clutch size and egg volume and length (p = .002, p = .004, respectively). Predation was the major reason for nest damage (62.5%). Evidence from cameras at nests showed that the predators of Saunders’s tern nests on the Farasan Islands were white-tailed mongoose (Ichneumia albicauda) and Egyptian vultures (Neophron percnopterus). This is the first study on the breeding ecology of Saunders’s terns, and it shows that predator control is essential to the existence of the species. The results of this study suggest that fencing some breeding sites may help to minimize human disturbance and decrease the risk of nest predation from mammalian predators. Further research is needed to compare the predation rates on the mainland and islands and to develop efficient strategies to conserve this ground-nesting species.     

Evidence from genetic studies among rs2107538 variant in the CCL5 gene and Saudi patients diagnosed with type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a chronic and metabolic disorder that affects the adult population. Chemokines are proinflammatory cytokines that play a role in the development of chronic diseases such as obesity, gestational diabetes, and T2DM. The C-C Motif Chemokine Ligand 5 (CCL5) gene plays a role in antiviral immunity, tumor development, obesity, impaired glucose tolerance, and T2DM. This study aimed to investigate the genetic role of the rs2107538 variant in the CCL5 gene in Saudi patients with T2DM. Sixty subjects with T2DM patients and 60 healthy controls participated in this prospective case-control study. Prior to Sanger sequencing, genomic DNA was extracted and amplified with Polymerase chain reaction (PCR), after which the PCR products were purified. The collected data were used to conduct various statistical analyses to determine the relationship between T2DM and control subjects. The findings of the current study revealed a positive association for most parameters between T2DM and control subjects (p < 0.05). The frequency of genotypes (p = 0.002, AA vs.GG: p = 0.008, GA + AA vs. GG: p = 0.0002) and alleles (A vs. G: p = 0.0007) revealed a strong risk association. Multiple logistic regression with individual effects revealed a link between SBP and HDLc levels (p = 0.03). In patients with T2DM, waist (p = 0.001), TG (p = 0.0007), and LDLc (p = 0.0004) levels were all associated with the ANOVA. Finally, the rs2107538 variant was linked to an increased risk of T2DM in the Saudi Population. The GA and AA genotypes were strongly connected to the T2DM subjects. In order to rule out disease-causing variants in the global population, future research should use a large sample size.     

Human Gut Microbiota Changes Reveal the Progression of Glucose Intolerance

To explore the relationship of gut microbiota with the development of type 2 diabetes (T2DM), we analyzed 121 subjects who were divided into 3 groups based on their glucose intolerance status: normal glucose tolerance (NGT; n = 44), prediabetes (Pre-DM; n = 64), or newly diagnosed T2DM (n = 13). Gut microbiota characterizations were determined with 16S rDNA-based high-throughput sequencing. T2DM-related dysbiosis was observed, including the separation of microbial communities and a change of alpha diversity between the different glucose intolerance statuses. To assess the correlation between metabolic parameters and microbiota diversity, clinical characteristics were also measured and a significant association between metabolic parameters (FPG, CRP) and gut microbiota was found. In addition, a total of 28 operational taxonomic units (OTUs) were found to be related to T2DM status by the Kruskal-Wallis H test, most of which were enriched in the T2DM group. Butyrate-producing bacteria (e.g. Akkermansia muciniphila ATCCBAA-835, and Faecalibacterium prausnitzii L2-6) had a higher abundance in the NGT group than in the pre-DM group. At genus level, the abundance of Bacteroides in the T2DM group was only half that of the NGT and Pre-DM groups. Previously reported T2DM-related markers were also compared with the data in this study, and some inconsistencies were noted. We found that Verrucomicrobiae may be a potential marker of T2DM as it had a significantly lower abundance in both the pre-DM and T2DM groups. In conclusion, this research provides further evidence of the structural modulation of gut microbiota in the pathogenesis of diabetes.