SGLT2i as a First-line Antihyperglycemic in the Management of Type 2 Diabetes in the Context of Indians: A Systematic Review and Consensus.

BACKGROUND: Sodium-glucose cotransporter-2 inhibitors (SGLT2i) have been used for almost a decade and have proven to be effective not only in managing Type 2 diabetes (T2D), but their cardio and renal protective features make them very useful in managing patients with risk of multiple comorbidities. This systematic review was undertaken by the authors because there is no evidence currently available in India that has studied the suitability of SGLT2i as a first-line agent in patients newly diagnosed with T2D in India. MATERIALS AND METHODS: First, literature was searched to identify features that are considered important when deciding on a first-line agent for managing T2D. A total of 5 broad topics were identified-glycemic control, extra glycemic effects, antihyperglycemic combination therapy, safety, and cost-effectiveness. These domains had further subheadings, and a total of 16 domains were identified. Metformin is the drug of choice as a first-line agent in such situations and has been considered the gold standard for evaluating the effects of SGLT2i across these domains. A systematic literature review on each domain was conducted to compare SGLT2i with the gold standard in Indian patients newly diagnosed with T2D. Evidence was graded (levels of evidence (LoE)-A, B, and C), and recommendations (class of recommendation (CoR)-I, II, and III) were classified by the expert group as defined in the methodology. RESULTS: According to the systematic reviews conducted, 11 domains had Level A evidence, 2 domains (impact on lipids and gut microbiome) had Level B, and 3 domains had Level C (ß-cell function, renal protection, and glycemic variability) evidence. Based on evidence and expert opinion, the authors recommend SGLT2i as a first-line agent for managing newly diagnosed patients with T2D with a Class I recommendation for 13 domains and Class II for the remaining 3 (impact on lipids, gut microbiome, and ß-cell function). Although a poorer level of evidence (Level C) was available for the glycemic variability domain, the authors still reported this as Class I recommendations according to their expert opinion and consensus. CONCLUSION: This article advocates adopting SGLT2 inhibitors as the primary treatment choice for treating patients with newly diagnosed T2D in India.

Sodium-glucose Cotransporter-2 Inhibitors in Primary and Secondary Prevention of Cardiovascular and Renal Outcomes in Patients with Type 2 Diabetes Mellitus: A Meta-analysis.

BACKGROUND: The available evidence was systematically reviewed to evaluate the effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors (SGLT2i) on cardiovascular (CV) and renal outcomes in people with type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD) or multiple risk factors (MRF), with or without heart failure (HF), and per estimated glomerular filtration rate (eGFR) rate at baseline. METHODS: We comprehensively searched three electronic databases to retrieve publications up to 30th November 2019, which were screened for inclusion. The data extracted for the outcomes according to baseline ASCVD, HF, and eGFR levels were meta-analyzed using fixed effects model. RESULTS: Of the 735 screened citations, 15 primary and secondary publications from five CV or renal outcome trials were included. SGLT2is reduced the risk of CV death or hospitalization for HF (HHF), HHF alone, and composite renal-specific outcome, irrespective of ASCVD and HF at baseline. The three-point major adverse cardiovascular events (3P-MACE) risk was reduced by 14% (p<0.001) in patients with ASCVD and by 10% (p = 0.018) in those without baseline HF compared with their counterparts. SGLT2is significantly reduced the risk of MACE (18%) in patients with mild kidney dysfunction (eGFR within the range of 60-<90 mL/min/1.73 m2 and <60 mL/min/1.73 m2 ). CONCLUSION: SGLT2is are effective for both secondary and primary prevention of composite CV outcomes, and secondary prevention of MACE. The upcoming evidence may strengthen the primary prevention benefits of SGLT2is.

Prescribing Patterns and Response to Antihyperglycemic Agents Among Novel Clusters of Type 2 Diabetes in Asian Indians.

Aim: To assess the prescribing patterns and response to different classes of antihyperglycemic agents in novel clusters of type 2 diabetes (T2D) described in India. Materials and Methods: We attempted to replicate the earlier described clusters of T2D, in 32,867 individuals with new-onset T2D (within 2 years of diagnosis) registered between October 2013 and December 2020 at 15 diabetes clinics located across India, by means of k-means clustering utilizing 6 clinically relevant variables. Individuals who had follow-up glycated hemoglobin (HbA1c) up to 2 years were included for the drug response analysis (n = 13,247). Results: Among the 32,867 participants included in the study, 20,779 (63.2%) were males. The average age at diagnosis was 45 years and mean HbA1c at baseline was 8.9%. The same four clusters described in India earlier were replicated. Forty percent of the study participants belonged to the mild age-related diabetes cluster, followed by insulin-resistant obese diabetes (27%), severe insulin-deficient diabetes (21%), and combined insulin-resistant and insulin-deficient diabetes (12%) clusters. The most frequently used antihyperglycemic agents were sulfonylureas, metformin, and dipeptidyl peptidase-4 inhibitors apart from insulin. While there were significant differences in HbA1c reduction between drugs across clusters, these were largely driven by differences in the baseline (pretreatment) HbA1c. Conclusions: In this new cohort, we were able to reliably replicate the four subtypes of T2D earlier described in Asian Indians. Prescribing patterns show limited usage of newer antihyperglycemic agents across all clusters. Randomized clinical trials are required to establish differential drug responses between clusters.

Real-World Observational Study of Glimepiride and Metformin Fixed-Dose Combination Along With Insulin in the Management of Type 2 Diabetes Mellitus: Indian Experience.

Background Type 2 diabetes mellitus (T2DM) is associated with a significant burden on both patients and the healthcare system. This study aimed to evaluate the demographics of patients with T2DM receiving different strengths of glimepiride and metformin combination along with insulin. This study also examined the concomitant conditions and therapies, duration of therapies, dosage titration, glycated hemoglobin (HbA1c) levels, hypoglycemic events, and weight changes during the course of therapy. Methods This retrospective, multicenter (347), observational study included adult patients with T2DM who received glimepiride and metformin combination along with insulin. Data related to demographic characteristics, duration of disease, co-morbidities, concomitant medications, and dosage pattern was collected from medical records authenticated by physicians during routine care. Results A total of 7058 patients were included in the study. The median age of included patients was 55 years and around 29% were aged >60 years and 60% were men. The majority of patients (83.3%) had insulin treatment initiation after glimepiride and metformin combination while other patients (16.7%) received glimepiride and metformin combination after insulin initiation. The mean HbA1c levels significantly decreased with a mean change of 1.33%. In one-third of the patients, down-titration of the insulin dose was done, indicating the insulin-sparing effect with the addition of the glimepiride and metformin combination. The most common comorbid condition was hypertension (64.7%). Of 3705 patients, 33.2% patients had weight loss and 66.8% had weight gain. A total of 432 patients reported hypoglycemic events. Physician global evaluation of efficacy and tolerability showed a good to excellent on the scale (97.3% and 96.6%). Conclusion This study presented good HbA1c lowering with glimepiride and metformin combination with insulin, ensuring a positive clinical outcome. Good to excellent efficacy and tolerability were observed in patients with T2DM across the age groups, in early as well as long-standing disease.

Best Practices and Tools for Titrating Basal Insulins: Expert Opinion from an Indian Panel via the Modified Delphi Consensus Method.

AIM: To develop an evidence-based expert group consensus document on the best practices and simple tools for titrating basal insulins in persons with type 2 diabetes mellitus (T2DM). BACKGROUND: Glycemic control is suboptimal in a large proportion of persons with T2DM, despite insulin therapy, thereby increasing the risk of potentially severe complications. Early initiation of insulin therapy and appropriate dose titration are crucial to achieving glycemic targets. Attitudes and practices among healthcare professionals (HCPs) and perceptions about insulin therapy among persons with diabetes contribute largely to suboptimal glycemic control. Improving HCP-patient communication, encouraging the use of additional educational tools, and providing support for the titration process to increase confidence, both at the initiation visit and at home, facilitate the optimization of dose titration. In Indian settings, specific guidelines and a consensus statement are lacking on the optimal insulin initiation dose, frequency of dose titration, and basal insulin profile needed to achieve optimal titration. In clinical practice, physicians and persons with diabetes often do not adhere to the titration algorithms that currently exist for the purpose of achieving optimal titration as they perceive these to be very cumbersome. In this context, a group of experts met at an advisory board meeting and arrived at a consensus on best practices for the titration of basal insulin in persons withT2DM in India, using the modified Delphi methodology. REVIEW RESULTS: After a review of evidence and further discussions, the expert group provided recommendations on insulin initiation dose, ideal period for titration in practice, titration regimen for use in practice, basal insulin profile for titration, and choosing a self-monitoring blood glucose schedule for titration. CONCLUSIONS: In the management of T2DM, insulin can be effectively titrated by following a few simple recommendations. The use of second-generation basal insulin aids in mitigating the risk of hypoglycemic events. The implementation of a simplified titration regimen is crucial to achieving glycemic targets and long-term treatment goals.

Consensus Statement on Use of Ambulatory Glucose Profile in Patients with Type 2 Diabetes Mellitus Receiving Oral Antidiabetic Drugs.

Glucose monitoring is an important aspect of diabetes care. The traditional methodologies of blood glucose monitoring such as fasting plasma glucose, post prandial glucose, glycosylated hemoglobin and self-monitoring of blood glucose do not adequately address hypoglycemia and glycemic variability, which are two important risk factors for diabetes-related complications. Ambulatory glucose profile (AGP) developed from a continuous glucose monitoring system is a simplified report, with standardized statistics and targets and visual representation of time in standardized glycemic ranges, glucose variability, and glycemic exposure over a single 24-h day. The role of AGP in T2DM patients who are on oral anti-diabetic drugs (OADs) is still not clearly defined. An expert group of endocrinologists and diabetologists met in Pune, India to discuss the role of AGP in T2DM patients on OADs. This article aims to discuss the consensus of the expert group on the role of AGP in T2DM patients on OADs and also reviews the various aspects of AGP and its interpretation; and the available evidences for disease management including treatment options based on AGP report.

Gut microbiota and its mysteries.

Gut microbiota are microorganisms that inhabit the gut; they coexist peacefully with the host, thereby contributing to the health and well-being of individuals. Bacteroidetes and Firmicutes largely dominate the gut microbial flora. The intestinal flora promotes intestinal mucosal integrity, provides essential nutrients such as vitamins and enzymes, protects the body against pathogens and produces antimicrobial peptides such as defensins, C-type lectins, cathelicidins, they also play an active role in the innate and adaptive immune system. Gut microbial flora plays an active role in the synthesis of short-chain fatty acids such as butyrate, propionate and acetate. Gut microbiota also plays a significant role in the cognitive and behavioural functions of the host. A balanced gut microbiota shifts to dysbiosis, due to intake of high fat or sugar or other factors like sedentary lifestyle. The dysbiosis of the gut results in increased permeability, endotoxaemic, insulin resistant, systemic inflammation, adiposity and metabolic disorders such as type 2 diabetes mellitus, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis, irritable bowel disorder, colorectal cancer, etc. A prudent lifestyle modification, added on with use of probiotics and prebiotic restore the normal flora of the gut, especially in patients with Clostridium difficle-associated diarrhoea, inflammatory bowel syndrome, liver disease and colon cancer. Faecal microbial transplant is an important therapeutic tool in many illness related with the gut. Thereby, understanding the gut microbial signatures in various diseases yields various novel therapeutic targets. Human gut microbiota has a prognostic, diagnostic and therapeutic potential which is recognised worldwide.

From Individualized to Personalized Medicine in Diabetes: An Expert Overview.

Personalized medicine is an individualized and stratified approach to the management of a disease. Personalized medicine can reform the prevention, prediction, and management of diabetes. Use of genetic information in polygenic and monogenic forms of diabetes can help to identify genetic variants and reclassify patients into pathophysiological subgroups. Targeted diagnostic, preventive, and therapeutic interventions can be defined for these groups for effective management of diabetes. Pharmacogenetics combines genotypic and phenotypic factors to develop personalized care in various pathophysiological subgroups of persons with diabetes. Personalized medicine finds wider utility in monogenic (especially Maturity Onset Diabetes of the Young (MODY) and Neonatal Diabetes Mellitus [NDM]) than in polygenic, diabetes. The most frequently mutated genes in MODY include HNF1A and HNF3A. the common genes responsible for NDM include KCNJ11 and ABCC8 (SUR) genes. These genes influence various aspects of glucose metabolism such as ß-cell K-ATP channel modulation, production of insulin and development of pancreas. The Madras Diabetes Research Foundation has fostered research in personalized medicine for diabetes based upon genetic information and has developed a national registry for neonatal diabetes and other monogenic form of diabetes.

Sequencing of Porphyromonas gingivalis from saliva in patients with periodontitis and type 2 diabetes mellitus.

Background: Porphyromonas gingivalis is a major periodontal pathogen. Saliva is the most easy, non-invasive microbiological sample for detection of periodontal pathogens. Aim and Objectives: A prospective study on 37 diabetic patients was grouped into well-controlled diabetes with/without periodontitis and uncontrolled diabetic with periodontitis. PCR and sequencing of P. gingivalis was performed in saliva samples. Materials and Methods: DNA was extracted from saliva using Triton X-100 and 16s rRNA gene (404 bp) was amplified by polymerase chain reaction. DNA sequencing was performed for two samples. Results: P. gingivalis was detected in 27.03% (n = 10), of which 30% (n = 9) were diabetic with periodontal disease and 14.3% (n = 1) were diabetic without periodontal disease. The percentage of poor oral hygiene was 50% and 20% in uncontrolled and controlled glycaemic patients, respectively. DNA sequencing of two samples showed 100% identity with the sequences in the GenBank database (Gen Bank accession no: KX640913-KX640914). Conclusion: Type 2 diabetes mellitus and periodontitis are interlinked. Early detection of P. gingivalis and appropriate treatment with doxycycline will also assist in controlling the glycaemic status.

Correlation between Ultrasound-based TIRADS and Bethesda System for Reporting Thyroid-cytopathology: 2-year Experience at a Tertiary Care Center in India.

BACKGROUND: In recent times, high-resolution ultrasound thyroid imaging has paved the way for significant transformation in clinical approach to thyroid nodule. There are several risk stratification systems in thyroid imaging, developed with an aim, not only to reduce the inter-observer variability but also to establish effective communication system. Thyroid image reporting and data system (TIRADS) classification system, which is similar to breast imaging reporting and data system for breast lesion, is the most useful of all. To our knowledge, there is just a handful published research articles available based on Indian population in this regard. In this article, we study the thyroid nodules using high-resolution ultrasound in Indian population and we try to correlate the TIRADS and Bethesda system for reporting thyroid cytopathology. MATERIALS AND METHODS: This prospective study includes 184 patients studied over a period of 2 years (April 2015-April 2017). Patients having thyroid nodule in B-mode ultrasound and are scheduled to get a fine-needle aspiration cytology (FNAC) done. Bethesda classification of these nodules is tabulated in follow-up period simultaneously. By comparing these data, efficacy of TIRADS in differentiating benign from malignant nodules are assessed finally using accuracy, positive predictive value (PPV), cross-tabulation, and Chi-square tests. RESULTS: Out of the 117 TIRADS 2 nodules, none turned out to be Bethesda IV or higher, which means none of these nodules turned out to be malignant. The risk of malignancy for TIRADS 2, TIRADS 3, TIRADS 4, and TIRADS 5 was 0, 2.2, 38.5, and 77.8%, respectively. The risk of malignancy percentage in our study is similar to those values obtained in other prominent studies. CONCLUSION: The probability of a particular nodule being malignant can be effectively inferred from the ultrasound-based TIRADS system with a certain level of confidence. Considering our results and other literature reviews, it be can be safely assumed that FNAC can be at least deferred in patients having TIRADS 2 nodules, which contribute to majority of newly detected cases. In our experience, there is a remarkable correlation exists between TIRADS ultrasound classification and Bethesda cytology, especially for benign nodules.

Effect of Metformin-sustained Release Therapy on Low-density Lipoprotein Size and Adiponectin in the South Indian Women with Polycystic Ovary Syndrome.

OBJECTIVES: The aim of the study is to compare surrogate markers of cardiovascular disease (CVD) risk, such as adiponectin (APN) levels and low-density lipoprotein (LDL) size, before and after sustained release metformin (Met-SR) therapy in women with polycystic ovarian syndrome (PCOS). METHODS: Sixty women with PCOS and sixty age-matched controls in the age group 18-45 years were recruited after obtaining informed consent. Women with PCOS were initiated on Met-SR 1 g orally, which was increased to 1.5 g after 2 weeks and continued up to 24 weeks. Demographic data along with family history of type 2 diabetes mellitus, PCOS, and CVD were collected. Lipid profile plasma APN levels and LDL size were measured before and after therapy in the PCOS group. Data analysis was performed using the GraphPad Prism-5 software. RESULTS: Women with PCOS had greater dyslipidemia, lower APN level and LDL size, and increased lipid accumulating product index as compared to controls. After 6 months of Met-SR therapy, women with PCOS demonstrated significant increase in plasma APN levels and LDL size and significant decrease in weight, waist-hip ratio (WHR), waist circumference (WC), and blood pressure (BP). A significant decrease was observed in body mass index (BMI) in the overweight and obese PCOS subgroups. CONCLUSION: Met-SR increases LDL size, APN concentration and decreases weight, WC, WHR, and BP in patients with PCOS. Met-SR may have salutary effects on LDL particle size through effects on APN levels in women with PCOS.

A Pragmatic Approach to the Indeterminate Thyroid Nodule.

Thyroid nodules are prevalent in upto 68% of randomly selected individuals in whom high resolution ultrasound is performed. The majority of nodules are benign. The use of ultrasound coupled with FNAC has dramatically reduced the number of patients who undergo surgery for nodules. The six tier Bethesda scoring system has reduced variability and increased the ability to clinicians to guide patients with thyroid nodules. There is good correlation between cytology and histopathologic outcomes. A significant proportion of patients will however fall into an indeterminate category. The availability of molecular markers enhanced with next generation sequencing technology and the expression classifier are added diagnostic aids that can help in management. However these are not available in many countries and in resource limited settings. A pragmatic approach to the diagnosis of indeterminate nodules includes utilising pre and post test probability, clinical acumen, correlation of ultrasound findings and expert opinion in some settings. Using this approach high risk patients can be appropriately chosen for surgery while relegating patients with lower risk to watchful followup.

Next generation sequencing of oral microbiota in Type 2 diabetes mellitus prior to and after neem stick usage and correlation with serum monocyte chemoattractant-1.

INTRODUCTION: Oral microbiome impacts health and disease. T2DM and periodontitis are associated. Neem (Azadiracta indica) has antibacterial activity against oral microbiota. OBJECTIVES: To characterize oral microbiota (OMB) in saliva samples of T2DM patients by Next generation sequencing. To analyze MCP-1 levels among the T2DM patients before and after a month of neem stick usage as a toothbrush. MATERIALS AND METHODS: Blood and saliva samples were collected from adult T2DM patients before and after the neem stick usage. Metagenomic sequencing was performed on saliva samples targeting V6 region of 16s rRNA. Serum MCP-1 levels were determined using a quantitative sandwich Human MCP-1 standard ABTS development kit (Peprotech, USA). RESULTS: The profile of oral microbiota of T2DM patients (n=24) consists of Streptococcus (95.8%) counts ranging from 2644 to 27,214, Veillonella (72.2%, counts 25-19,709, Neisseria (87.5%) 453-33,445), Rothia (63.6%, 233-6734), Actinomycetes (25%, 161-3730), Fusobacterium (21%, 2252-21,334), and Pigmentiphaga (12.5% 3-16,644). Oral microbiota in healthy controls (n=10), consists of Streptococcus (26.1%), Veillonella (21.9%), Neisseria (16.9%), Haemophilus (10.7%), Actinomycetes (2.6%), Rothia (3.1%), Oribacterium (1.7%). Post neem samples showed drastic reduction in the load of bacteria which was statistically significant. The mean serum MCP-1 before the use of neem stick was 265.18±79.44 (range 141.6-980.5pg/ml) and dropped to 33.6±7.35 after a month of neem stick usage (P value>0.001). CONCLUSION: OMB of T2DM patients and healthy controls were similar, however bacterial loads were significantly higher in T2DM patients. Use of neem stick has a statistically significant reduction on bacterial loads and MCP-1 levels in T2DM patients.

Evidence-based recommendations for insulin intensification strategies after basal insulin in type 2 diabetes.

Over the time due to progressive nature of diabetes, proactive intensification of the existing insulin therapy becomes imminent as it minimizes patients' exposure to chronic hypo/hyperglycaemia and reduces weight gain while achieving individualized glycaemic targets. This review focuses on the strength of evidence behind various options for intensification, primarily the insulins as also the GLP-1 analogues. The recommendations presented here are meant to serve as a guide for the physician managing type 2 diabetes patients requiring insulin intensification upon failing of basal insulin therapy.

Reported hypoglycemia in Type 2 diabetes mellitus patients: Prevalence and practices-a hospital-based study.

INTRODUCTION: Hypoglycemia tops the list of hurdles in preventing tight glycemic control in diabetic patients. It is even considered as a cardiovascular risk factor. However, it continues to be a neglected complication with very limited epidemiological data in our country. AIM: To study the self-reported prevalence of hypoglycemia among type 2 diabetic patients and the practices adopted by them during and after the episodes to manage and avert future occurrences. MATERIALS AND METHODS: It is a questionnaire-based cross-sectional study done using systematic random sampling selecting every 5th patient attending the diabetic Out-Patient (OP) in a tertiary medical college hospital. RESULTS: There were 366 participants with median age of 60 years. Around 96% reported any one symptom of hypoglycemia, but 78% had eaten following the episode and got relieved of the symptoms. Weakness (76.2%) and dizziness (74%) were the most common symptoms reported by the patients. A quarter of them reported having severe attacks requiring somebody's assistance. Most patients resorted to timely meals (85%) to avert future attacks. Patients who took insulin along with oral hypoglycemic agents (OHAs) were at a higher risk (OR = 2.3) for hypoglycemia compared to patients taking only OHAs (P < 0.01). CONCLUSION: The reported prevalence of hypoglycemia among type 2 diabetes patients is quite high. This finding reiterates the importance of enquiring and educating every diabetic patient about hypoglycemic episodes during every health visit.

Fasting practices in Tamil Nadu and their importance for patients with diabetes.

Religious practices and cultural customs related to eating habits have a significant impact on lifestyle and health of the community. The Ramadan fasting in Muslims and its influence on various metabolic parameters such as diabetes have been reasonably studied. However, literature related to Hindu religious customs related to fasting and food patterns during various festivals and its effect on diabetes are scarce. This article is an attempt to describe the Hindu religious customs related to fasting and food practices from the State of Tamil Nadu (South India) and to raise the awareness among physicians about its relationship with diabetes which may help in managing their diabetic patients in a better way.

Gut Microbiota in Type 2 Diabetes Individuals and Correlation with Monocyte Chemoattractant Protein1 and Interferon Gamma from Patients Attending a Tertiary Care Centre in Chennai, India.

BACKGROUND: Type 2 diabetes mellitus (T2DM) and obesity are associated with changes in gut microbiota and characterized by chronic low-grade inflammation. Monocyte chemoattractant protein-1 (MCP-1) and interferon gamma (IFNγ) are proinflammatory cytokines which play an important role in the development of T2DM. We undertook this study to analyze the gut microbiota of T2DM and nondiabetic subjects and to determine the profile of MCP 1 and IFNγ in the same subjects attending a tertiary care center in Chennai, Tamil Nadu, India. METHODS: The study included 30 subjects with clinical details. Stool and blood samples were collected from all the subjects. DNA was extracted from fecal samples and polymerase chain reaction was done using fusion primers. Metagenomic analysis was performed using ion torrent sequencing. The reads obtained were in FASTA format and reported as operational taxonomic units. Human MCP 1 and IFNγ enzyme linked immunosorbent assay (ELISA) were performed for 23 serum samples. RESULTS: The study consisted of 30 subjects; 17 were T2DM and 13 were nondiabetics. The gut microbiota among T2DM consisted predominantly of Gram negative bacteria; Escherichia and Prevotella, when compared with the nondiabetic group with predominantly Gram positive organisms suchas Faecalibacterium, Eubacterium, and Bifidobacterium. The mean MCP-1 values in the diabetic group were 232.8 pg/ml and in the nondiabetic group 170.84 pg/ml. IFNγ (mean 385.5 pg/ml) was raised in glycated hemoglobin (HbA1c) group of 6.5-7.5% which was statistically significant. Association of Escherichia with T2DM and association of Bifidobacteria in the nondiabetics were also statistically significant. CONCLUSION: Escherichia counts were elevated in T2DM with HbA1c of 6.5-8.5% which was statistically significant suggesting that lipopolysaccharides present in the cell wall of Gram-negative bacteria may be responsible for low-grade inflammation as evidenced by elevated MCP-1 and IFNγ levels in T2DM with the same HbA1c levels.

The neuroendocrinology of love.

Romantic love could be considered as a collection of activities associated with the acquisition and retention of emotions needed to survive and reproduce. These emotions change the individual's behavioural strategies in a way that will increase the likelihood of achieving these goals. Love may be defined as an emergent property of an ancient cocktail of neuropeptides and neurotransmitters. It appears that lust, attachment and attraction appear to be distinct but intertwined processes in the brain each mediated by its own neurotransmitters and circuits. These circuits feed on and reinforce each other. Sexual craving is mediated by testosterone and oestrogen and has the amygdala as an important centre. Attraction is mediated by hormones of stress and reward including dopamine, norepinephrine cortisol and the serotinergic system and has the nucleus accumbens the ventral tegmental area as key mediators.