Correlation Between White Blood Cell Count and Insulin Resistance in Type 2 Diabetes

Protective Effect of Betulin on Streptozotocin-Nicotinamide-Induced Diabetes in Female Rats

Type 2 diabetes is characterized by hyperglycemia and a relative loss of β-cell function. Our research investigated the antidiabetic potential of betulin, a pentacyclic triterpenoid found primarily in birch bark and, intriguingly, in a few marine organisms. Betulin has been shown to possess diverse biological activities, including antioxidant and antidiabetic activities; however, no studies have fully explored the effects of betulin on the pancreas and pancreatic islets. In this study, we investigated the effect of betulin on streptozotocin-nicotinamide (STZ)-induced diabetes in female Wistar rats. Betulin was prepared as an emulsion, and intragastric treatments were administered at doses of 20 and 50 mg/kg for 28 days. The effect of treatment was assessed by analyzing glucose parameters such as fasting blood glucose, hemoglobin A1C, and glucose tolerance; hepatic and renal biomarkers; lipid peroxidation; antioxidant enzymes; immunohistochemical analysis; and hematological indices. Administration of betulin improved the glycemic response and decreased α-amylase activity in diabetic rats, although insulin levels and homeostatic model assessment for insulin resistance (HOMA-IR) scores remained unchanged. Furthermore, betulin lowered the levels of hepatic biomarkers (aspartate aminotransferase, alanine aminotransferase, and alpha-amylase activities) and renal biomarkers (urea and creatine), in addition to improving glutathione levels and preventing the elevation of lipid peroxidation in diabetic animals. We also found that betulin promoted the regeneration of β-cells in a dose-dependent manner but did not have toxic effects on the pancreas. In conclusion, betulin at a dose of 50 mg/kg exerts a pronounced protective effect against cytolysis, diabetic nephropathy, and damage to the acinar pancreas and may be a potential treatment option for diabetes.

Plasma Prostaglandin E2 Metabolite Levels Predict Type 2 Diabetes Status and One-Year Therapeutic Response Independent of Clinical Markers of Inflammation

Over half of patients with type 2 diabetes (T2D) are unable to achieve blood glucose targets despite therapeutic compliance, significantly increasing their risk of long-term complications. Discovering ways to identify and properly treat these individuals is a critical problem in the field. The arachidonic acid metabolite, prostaglandin E₂ (PGE₂), has shown great promise as a biomarker of β-cell dysfunction in T2D. PGE₂ synthesis, secretion, and downstream signaling are all upregulated in pancreatic islets isolated from T2D mice and human organ donors. In these islets, preventing β-cell PGE₂ signaling via a prostaglandin EP3 receptor antagonist significantly improves their glucose-stimulated and hormone-potentiated insulin secretion response. In this clinical cohort study, 167 participants, 35 non-diabetic, and 132 with T2D, were recruited from the University of Wisconsin Hospital and Clinics. At enrollment, a standard set of demographic, biometric, and clinical measurements were performed to quantify obesity status and glucose control. C reactive protein was measured to exclude acute inflammation/illness, and white cell count (WBC), erythrocyte sedimentation rate (ESR), and fasting triglycerides were used as markers of systemic inflammation. Finally, a plasma sample for research was used to determine circulating PGE₂ metabolite (PGEM) levels. At baseline, PGEM levels were not correlated with WBC and triglycerides, only weakly correlated with ESR, and were the strongest predictor of T2D disease status. One year after enrollment, blood glucose management was assessed by chart review, with a clinically-relevant change in hemoglobin A1c (HbA1c) defined as ≥0.5%. PGEM levels were strongly predictive of therapeutic response, independent of age, obesity, glucose control, and systemic inflammation at enrollment. Our results provide strong support for future research in this area.

Comparing the Metabolic Profiles Associated with Fitness Status between Insulin-Sensitive and Insulin-Resistant Non-Obese Individuals

(1) Background: Young non-obese insulin-resistant (IR) individuals could be at risk of developing metabolic diseases including type 2 diabetes mellitus. The protective effect of physical activity in this apparently healthy group is expected but not well characterized. In this study, clinically relevant metabolic profiles were determined and compared among active and sedentary insulin-sensitive (IS) and IR young non-obese individuals. (2) Methods: Data obtained from Qatar Biobank for 2110 young (20-30 years old) non-obese (BMI ≤ 30) healthy participants were divided into four groups, insulin-sensitive active (ISA, 30.7%), insulin-sensitive sedentary (ISS, 21.4%), insulin-resistant active (IRA, 20%), and insulin-resistant sedentary (IRS, 23.3%), using the homeostatic model assessment of insulin resistance (HOMA-IR) and physical activity questionnaires. The effect of physical activity on 66 clinically relevant biochemical tests was compared among the four groups using linear models. (3) Results: Overall, non-obese IR participants had significantly (p ≤ 0.001) worse vital signs, blood sugar profiles, inflammatory markers, liver function, lipid profiles, and vitamin D levels than their IS counterparts. Physical activity was positively associated with left handgrip (p ≤ 0.01) and levels of creatine kinase (p ≤ 0.001) and creatine kinase-2 (p ≤ 0.001) in both IS and IR subjects. Furthermore, physical activity was positively associated with levels of creatinine (p ≤ 0.01) and total vitamin D (p = 0.006) in the IR group and AST (p = 0.001), folate (p = 0.001), and hematocrit (p = 0.007) in the IS group. Conversely, physical inactivity was negatively associated with the white blood cell count (p = 0.001) and an absolute number of lymphocytes (p = 0.003) in the IR subjects and with triglycerides (p = 0.005) and GGT-2 (p ≤ 0.001) in the IS counterparts. (4) Conclusions: An independent effect of moderate physical activity was observed in non-obese apparently healthy individuals a with different HOMA-IR index. The effect was marked by an improved health profile including higher vitamin D and lower inflammatory markers in IRA compared to IRS, and a higher oxygen carrying capacity and lipid profile in ISA compared to the ISS counterparts.

Hematological biomarkers of systemic inflammation in genuine (physiologic and pathologic) halitosis

Halitosis is an unpleasant odor discharged through the oral cavity with a prevalence as high as 30%-50% of the general population. Conventional diagnostic methods have been focused on mouth air analysis measuring the amount of sulfur compounds which does not directly reflect the cause of halitosis. Also, the possible role of halitosis as an indicator of general health status has been steadily suggested and inflammation has been constantly associated with aversive body odor. Therefore, this study aimed to search for inter-relationships between hematologic indicators, clinical characteristics, and halitosis measurement that can predict the presence of pathologic halitosis and its intensity. Furthermore, the tentative relationship between halitosis and the presence of systemic inflammation was investigated. A total of 125 patients were divided into 103 patients in the genuine halitosis group (value ⩾80 ppb) and 22 patients in the pseudo halitosis group (value <80 ppb) based on portable sulfide monitor measurements. Clinical examination and hematological indices including inflammatory prognostic factors and halitosis measurements including organoleptic testing, portable sulfide monitor, and gas chromatography were evaluated. The genuine halitosis group showed a significantly higher white blood cell (WBC) count (p< 0.01) compared to the pseudo halitosis group. Erythrocyte sedimentation rate (ESR,β= 0.341,p< 0.05) values and duration of halitosis (β= 0.353,p< 0.05) showed a significant association with halitosis intensity and neutrophil to lymphocyte ratio (NLR) values (β= 3.859,p< 0.05) were significantly related to genuine halitosis diagnosis. A new WBC cut-off value of 5575μl^-1showed near to fair discriminative power in predicting genuine halitosis (area under the curve 0.661,p< 0.05). The results of this study showing an increased WBC count in genuine halitosis and its strong association with hematologic indices of subclinical inflammation including ESR and NLR suggest inflammatory hematologic markers as potential diagnostic tools in the diagnosis of genuine halitosis.

Association between Polygenetic Risk Scores of Low Immunity and Interactions between These Scores and Moderate Fat Intake in a Large Cohort

White blood cell (WBC) counts represent overall immunity. However, a few studies have been conducted to explore the genetic impacts of immunity and their interaction with lifestyles. We aimed to identify genetic variants associated with a low-WBC risk and document interactions between polygenetic risk scores (PRS), lifestyle factors, and nutrient intakes that influence low-WBC risk in a large hospital-based cohort. Single nucleotide polymorphisms (SNPs) were selected by genome-wide association study of participants with a low-WBC count (<4 × 109/L, n = 4176; low-WBC group) or with a normal WBC count (≥4 × 109/L, n = 36,551; control group). The best model for gene-gene interactions was selected by generalized multifactor dimensionality reduction. PRS was generated by summing selected SNP risk alleles of the best genetic model. Adjusted odds ratio (ORs) of the low-WBC group were 1.467 (1.219-1.765) for cancer incidence risk and 0.458 (0.385-0.545) for metabolic syndrome risk. Vitamin D intake, plant-based diet, and regular exercise were positively related to the low-WBC group, but smoking and alcohol intake showed an inverse association. The 7 SNPs included in the best genetic model were PSMD3_rs9898547, LCT_rs80157389, HLA-DRB1_rs532162239 and rs3097649, HLA-C rs2308575, CDKN1A_rs3176337 and THRA_rs7502539. PRS with 7 SNP model were positively associated with the low-WBC risk by 2.123-fold (1.741 to 2.589). PRS interacted with fat intake and regular exercise but not with other nutrient intakes or lifestyles. The proportion with the low WBC in the participants with high-PRS was lower among those with moderate-fat intake and regular exercise than those with low-fat intake and no exercise. In conclusion, adults with high-PRS had a higher risk of a low WBC count, and they needed to be advised to have moderate fat intake (20-25 energy percent) and regular exercise.

A Positive Association of Overactivated Immunity with Metabolic Syndrome Risk and Mitigation of Its Association by a Plant-Based Diet and Physical Activity in a Large Cohort Study

The association between immunity and metabolic syndrome (MetS) has been studied, but its interaction with lifestyles remains unclear. We studied their association and interactions with lifestyles in 40,768 adults aged over 40 years from a large-scale, hospital-based cohort study collected during 2010-2013. White blood cell counts (WBC) and serum C-reactive protein concentrations (CRP) were used as indexes of immune status. The participants were categorized into four groups by the cutoff points of 6.2 × 10⁹/L WBC(L-WBC) and <0.5 mg/dL CRP(L-CRP): L-WBC+L-CRP(n = 25,604), H-WBC+L-CRP(n = 13,880), L-WBC+H-CRP(n = 464), and H-WBC+H-CRP(n = 820). The participants in the H-WBC+L-CRP were younger and had higher numbers of males than the L-WBC+L-CRP. MetS risk was higher by 1.75- and 1.86-fold in the H-WBC+L-CRP and H-WBC+H-CRP, respectively, than the L-WBC+L-CRP. MetS components, including plasma glucose and triglyceride concentrations, and SBP were elevated in H-WBC+L-CRP and H-WBC+H-CRP compared with L-WBC+L-CR+P. The risk of hyperglycemia and high HbA1c was the highest in the H-WBC+H-CRP among all groups. Areas of WBC counts and serum CRP concentrations were 0.637 and 0.672, respectively, in the receiver operating characteristic curve. Daily intake of energy, carbohydrate, protein, and fat was not significantly different in the groups based on WBC counts and CRP. However, a plant-based diet (PBD), physical activity, and non-smoking were related to lowering WBC counts and CRP, but a Western-style diet was linked to elevating CRP. A high PBD intake and smoking status interacted with immunity to influence MetS risk: a low PBD and current smoking were associated with a higher MetS risk in the H-WBC+H-CRP. In conclusion, overactivated immunity determined by CRP and WBC was associated with MetS risk. Behavior modification with PBD and physical activity might be related to immunity regulation.

Distribution of complete blood count constituents in gestational diabetes mellitus

BACKGROUND TRIAL DESIGN

The incidence rate of gestational diabetes is high. In the long run, it harms the health of both the mother and child. In order to understand the distribution of hematological cells with gestational diabetes mellitus (GDM), a longitudinal cohort study was conducted from 2012 to 2018.

METHODS

A longitudinal case control study of 1860 pregnant women was conducted between 2012 and 2018. Data of hematological parameters at 11 time points of gestational stage were obtained from a laboratory database. Repeated measures analysis and independent t-test were used to analyze the effect of the hematological parameters on GDM.

RESULTS

The trend of blood cells fluctuated with gestational age in normal controls but was more remarkable in GDM. Compared with the controls, blood neutrophils, lymphocytes, and monocytes augmented in the second trimester but decreased in the third trimester; platelet (PLT) and thrombocytocrit increased throughout the three trimesters, and red blood cell (RBC) was abundant in the last 2 trimesters in GDM.

CONCLUSIONS

Peripheral blood leukocytes, platelets, and erythrocytes were significantly different during gestation between GDM and normal controls. Inflammation may also be involved in GMD.

Association between White Blood Cells Count and Diabetes Mellitus in Tabari Cohort Study: A Case-Control Study

BACKGROUND

White Blood Cells (WBC) can be a useful marker to predict diabetes. In this study, we aimed to investigate the association between WBC count with type 2 diabetes in a large-scaled population-based cohort study.

METHODS

In the present study we used a subset of data collected in enrolment phase of Tabari cohort study. Participants with fasting blood glucose ≥126 or those who report as having diabetes or taking glucose-lowering medications were selected as case group (1765 participants) and control group included participants who did not report as having diabetes (1765 participants) and they randomly selected from the baseline population. Hematology indices were measured for all participants using Celltac Alpha MEK-6510 K. Chi-squared and independent t-test were used to compare categorical and continuous variables, respectively.

RESULTS

The mean of WBC in diabetic patients and control group was 6.89 ± 1.67 and 6.37 ± 1.49 respectively (P ≤ 0.001). The odds of diabetes based on WBC count in crud model was 1.23 [CI 95% 1.181.28] and after adjustment for all possible confounding factor was 1.17 [CI 95% 1.111.23].

CONCLUSIONS

Results of the present study showed a significant association between WBC count and diabetes. This association remained significant after adjustment for all possible confounders.

Six-year follow-up study on the association between white blood cell count and fasting blood glucose level in Chinese adults: A community-based health examination survey

BACKGROUND

Pre-diabetes is considered to be an important reversible stage of type 2 diabetes (T2DM); thus, early identification of pre-diabetes may help in the prevention of T2DM. This study aimed to explore the relationship between white blood cell (WBC) counts and the cumulative risk of impaired fasting glucose (IFG) regulation at 6 years.

METHODS

A community-based health examination survey was conducted among individuals who were randomly selected from 1300 residents living in China in 2010 to 2016. The participants were divided into four groups according to WBC baseline level. This study initially conducted a cross-sectional analysis of the population who underwent physical examination to explore the relationship between WBC count and FBG levels. Then, a follow-up study was conducted on the population who underwent IFG normal physical examination to explore the relationship between baseline WBC count and changes in FBG levels and the cumulative risk of 6-year IFG.

RESULTS

During the 6-year cohort follow-up, 17.2% of the participants developed IFG, and the cumulative incidence rates of IFG in the four groups were 14.7%, 16.3%, 15.8%, and 22.2%. By Cox multiple regression equation the hazard ratio (HR) of the IFG increased by 18.7% for each additional unit of baseline WBC count with no adjustment of any factor. After adjusting factors, HR increased by 8.4%.

CONCLUSION

Increased WBC counts are associated with risk of IFG, suggesting chronic inflammation may be involved in the development and progression of IFG.

"Association of Severity of Posttraumatic Stress Disorder With Inflammation: Using Total White Blood Cell Count as a Marker"

Background

Inflammation is known to be associated with posttraumatic stress disorder. It is not known if total white blood cell count, a routinely checked inflammatory marker, is associated with posttraumatic stress disorder symptom trajectories using medical record data.

Methods

We used latent class growth analysis to identify three-year posttraumatic stress disorder symptom trajectories using posttraumatic stress disorder (PTSD) Checklist (PCL) scores. The outcome for each patient was maximum white blood cell count from index posttraumatic stress disorder diagnosis to last PCL. Using linear regression analysis, we then calculated and compared the average white blood cell count for each trajectory before and after controlling for age, gender, race, obesity, smoking, diabetes, hypertension, cardiovascular disease, depression, and other comorbid inflammatory conditions.

Results

Patients were 40.2 (SD ± 13.5) years of age, 83.7% males and 67.9% white. We identified three PCL trajectory groups based on symptom severity over time: “moderate-large decrease,” “moderate-severe-slight decrease,” and “severe-persistent.” In adjusted analyses, “severe-persistent” versus “moderate-large decrease” had significantly higher white blood cell count (B = 0.64; 95%CI = 0.18, 1.09; p = .006). Although non-significant, “moderate-severe-slight decrease” versus “moderate-large decrease” also had a higher white blood cell count (B = 0.42; 95% CI: −0.02, 0.86; p = .061).

Conclusion

Persistently severe posttraumatic stress disorder is associated with a higher white blood cell count than improving posttraumatic stress disorder. White blood cell appears to have utility for measuring the association between psychiatric disorders and inflammation in retrospective cohort studies involving large administrative medical record data bases.

Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria

BACKGROUND

Obesity is suggested to underlie development of other metabolic aberrations, but longitudinal relationships between metabolic factors at various ages has not been studied in detail.

METHODS

Data from 27,379 men and 32,275 women with in total 122,940 health examinations in the Västerbotten Intervention Project, Sweden and the Vorarlberg Health Monitoring and Prevention Programme, Austria were used to investigate body mass index (BMI), mid-blood pressure, and fasting levels of glucose, triglycerides, and total cholesterol at baseline in relation to 10-year changes of these factors and weight. We included paired examinations performed 10±2 years apart and used them for longitudinal analysis with linear regression of changes between the ages 30 and 40, 40 and 50, or 50 and 60 years.

RESULTS

Higher levels of BMI were associated with increases in glucose and mid-blood pressure as well as triglycerides levels, and, to a lesser extent, decreases in cholesterol levels. For instance, per 5 kg/m2 higher BMI at age 40, glucose at age 50 increased by 0.24 mmol/l (95%CI: 0.22-0.26) and mid-blood pressure increased by 1.54 mm Hg (95%CI: 1.35-1.74). The strongest association observed was between BMI at age 30 and mid-blood pressure, which was 2.12 mm Hg (95% CI: 1.79-2.45) increase over ten years per 5 kg/m2 higher BMI level. This association was observed at an age when blood pressure levels on average remained stable. Other associations than those with BMI at baseline were much weaker. However, triglyceride levels were associated with future glucose changes among individuals with elevated BMI, particularly in the two older age groups.

CONCLUSION

BMI was most indicative of long-term changes in metabolic factors, and the strongest impact was observed for increases in blood pressure between 30 and 40 years of age. Our study supports that lifestyle interventions preventing metabolic aberrations should focus on avoiding weight increases.