The Association of Metabolic Syndrome and Its Components with Serum Prostate-Specific Antigen Levels in a Korean-Screened Population

The correlation between body mass index and prostatic-related parameters in men 40 years or older in Zhengzhou

PURPOSE

To understand the relationship between body mass index (BMI), age, prostate volume (PV), prostate-specific antigen (PSA), International Prostate Symptom Score (IPSS) and quality of life (QoL) in Zhengzhou.

MATERIALS AND METHODS

In the cross-sectional study, men living in Zhengzhou were invited to participate in this study. Men who were 40 years or older were subjected to the IPSS and related examination. A total of 1360 participants were included. Body mass index < 18.5 kg/m² was determined as underweight, 18.5-24.99 kg/m² normal, 25-29.99 kg/m² overweight, and ≥30 kg/m² obese.

RESULTS

The mean BMI was 24.92 ± 3.37 kg/m². The mean PSA was 1.06 ± 0.85 ng/mL. The mean PV was 20.10 ± 9.96 mL. The mean age was 62.72 ± 11.03 years. The mean IPSS was 5.87 ± 3.48 scores. The mean QoL was 2.33 ± 1.28 scores. PSA showed a significant tendency to decrease with increasing BMI (r = -0.061, p = 0.018, p_trend = 0.037). The same with age (r = -0.109, p < .001; p_trend = .045). But the result suggested that both IPSS and QoL were positively correlated with BMI (r = 0.120, p < .001, p_trend < .001; r = 0.083, p = .001, p_trend = .021, respectively). PV increased with increasing BMI (r = 0.110, p < .001, p_trend = 0.045 ).

CONCLUSIONS

Age, PSA decreased with increasing BMI. But larger PV, IPSS, and QoL were associated with higher BMI.

The Correlation between Body Mass Index and Routine Parameters in Men Over Fifty

Purpose

This study aimed to investigate the relationships between body mass index (BMI) and prostate-specific antigen (PSA) levels, international prostate symptom score (IPSS), quality of life (QoL), and prostate volume (PV).

Materials and Methods

Height, weight, PSA levels, PV, and IPSS were analyzed in 15,435 patients who underwent a prostate examination between 2001 and 2014. Patients aged <50 years or with a PSA level ≥10 ng/mL were excluded. The relationships between BMI and PSA, IPSS, QoL, and PV were analyzed by a scatter plot, one-way analysis of variance, and the Pearson correlation coefficient.

Results

The mean age was 71.95±7.63 years, the mean BMI was 23.59±3.08 kg/m², the mean PSA level was 1.45±1.45 ng/mL, the mean IPSS was 15.53±8.31, the mean QoL score was 3.48±1.25, and the mean PV was 29.72±14.02 mL. PSA, IPSS, and QoL showed a tendency to decrease with increasing BMI, and there were statistically significant differences for each parameter (p≤0.001). PV showed a significant tendency to increase with BMI (p<0.001). In the correlation analysis, BMI showed a statistically significant correlation (p<0.001) with PSA, IPSS, and QoL, although the correlations were very weak. In contrast, BMI showed a significant correlation with PV (p<0.001), with a meaningful Pearson correlation coefficient of 0.124.

Conclusions

Higher BMI was associated with lower PSA levels and higher IPSS and QoL scores. Meanwhile, PV increased with BMI. Although obese individuals had a greater PV, obesity did not aggravate lower urinary tract symptoms.

Prostate-specific antigen rising in Iranian men in correlation with body mass index, fasting blood sugar and blood lipid profile

Background

Prostate-specific antigen (PSA) is a serine protease that is secreted by prostate cells and it is useful as a tumor marker for prostate cancer.

Objectives

In this study, the relationship between some of metabolic factors and serum PSA level was investigated.

Materials and Methods

In this cross-sectional study, patients with urinary symptoms or for screening of the prostate cancer (after 50 years of age or 40 years with a family history of prostate cancer), were evaluated. Collected data included metabolic syndrome factors such as cholesterol (Chol), triglycerides (TG), fasting blood sugar (FBS), and body mass index (BMI), serum PSA level, prostate volume and age.

Results

481 patients were enrolled to this study with the average age of 60.69 ± 9.72 years and the average PSA level of 1.70 ng/ml. Data analysis showed that there was a significant relationship between serum PSA level with age (P < 0.001, r = 0.30) and prostate volume (P < 0.001, r = 0.29). There were not significant relationship between serum PSA level with TG (P = 0.57, r = 0.026), Chol (P = 0.57, r = -0.025), FBS (P = 0.054, r = 0.088), and BMI (P = 0.89, r = 0.006).

Conclusions

This study showed that, with increasing age and prostate volume, serum PSA level increased, and an increase in the levels of cholesterol, TG, FBS and BMI did not have significant effect on serum PSA level.

Actual lowering effect of metabolic syndrome on serum prostate-specific antigen levels is partly concealed by enlarged prostate: results from a large-scale population-based study

OBJECTIVES

To clarify the lowering effect of metabolic syndrome (MetS) on serum prostate-specific antigen (PSA) levels in a Chinese screened population.

SUBJECTS AND METHODS

A total of 45 540 ostensibly healthy men aged 55-69 years who underwent routine health check-ups at Beijing Shijitan Hospital between 2008 and 2015 were included in the study. All the men underwent detailed clinical evaluations. PSA mass density was calculated (serum PSA level × plasma volume ÷ prostate volume) for simultaneously adjusting plasma volume and prostate volume. According to the modified National Cholesterol Education Programme-Adult Treatment Panel (NCEP-ATP) III criteria, patients were dichotomized by the presence of MetS, and differences in PSA density and PSA mass density were compared between groups. Linear regression analysis was used to evaluate the effect of MetS on serum PSA levels.

RESULTS

When larger prostate volume in men with MetS was adjusted for, both PSA density and PSA mass density in men with MetS were significantly lower than in men without MetS, and the estimated difference in mean serum PSA level between men with and without MetS was greater than that before adjusting for prostate volume. In the multivariate regression model, the presence of MetS was independently associated with an 11.3% decline in serum PSA levels compared with the absence of MetS. In addition, increasing number of positive MetS components was significantly and linearly associated with decline in serum PSA levels.

CONCLUSION

The actual lowering effect of MetS on serum PSA levels was partly concealed by the enlarged prostate in men with MetS, and the presence of MetS was independently associated with lower serum PSA levels. Urologists need to be aware of the effect of MetS on serum PSA levels and should discuss this subject with their patients.

Association between baseline serum glucose, triglycerides and total cholesterol, and prostate cancer risk categories

Lifestyle-related risk factors such as hyperglycemia and dyslipidemia have been associated with several cancers. However, studies exploring their link with prostate cancer (PCa) clinicopathological characteristics are sparse and inconclusive. Here, we investigated the associations between serum metabolic markers and PCa clinicopathological characteristics. The study comprised 14,294 men from the Swedish Apolipoprotein MOrtality RISk (AMORIS) cohort who were diagnosed with PCa between 1996 and 2011. Univariate and multivariable logistic regression were used to investigate the relation between glucose, triglycerides and total cholesterol and PCa risk categories, PSA, Gleason score, and T-stage. Mean age at time of PCa diagnosis was 69 years. Men with glucose levels >6.9 mmol/L tend to have PSA<4 μg/L, while those with glucose levels of 5.6-6.9 mmol/L had a greater odds of PSA>20 μg/L compared to PSA 4.0-9.9 μg/L. Hypertriglyceridemia was also positively associated with PSA>20 μg/L. Hyperglycemic men had a greater odds of intermediate- and high-grade PCa and advanced stage or metastatic PCa. Similarly, hypertriglyceridemia was positively associated with high-grade PCa. There was also a trend toward an increased odds of intermediate risk localized PCa and advanced stage PCa among men with hypertriglyceridemia. Total cholesterol did not have any statistically significant association with any of the outcomes studied. Our findings suggest that high serum levels of glucose and triglycerides may influence PCa aggressiveness and severity. Further investigation on the role of markers of glucose and lipid metabolism in influencing PCa aggressiveness and severity is needed as this may help define important targets for intervention.

The Effect of Different Metabolic Syndrome: Definitions on the Relationship Between Metabolic Syndrome and LUTS in Men With Benign Prostatic Enlargement

Because various criteria are used to define metabolic syndrome (MetS), this study examines the most relevant definition for patients with benign prostatic enlargement (BPE). Most studies regarding the link between MetS and BPE/lower urinary tract symptoms (LUTS) have used the National Cholesterol Education Program Adult Treatment Panel III criteria for diagnosis, while a few have used criteria from the International Diabetes Federation and/or American Heart Association. Patients with LUTS due to BPE are classified as having MetS or not by the aforementioned three definitions. Prostate volume, International Prostate Symptom Score, storage and voiding subscores, maximum urinary flow rate, and the postvoid urine of patients with and without MetS were compared separately in the three different groups. Surgical and medical treatment prevalence was also compared between three groups. No matter which definition was used, the International Prostate Symptom Score, the storage and voiding symptom scores, prostate volume, prostate-specific antigen, and postvoid urine were significantly higher in the patients with MetS. The maximum urinary flow rate was similar between patients with and without MetS, according to all three different definitions. There was no significant difference in the aforementioned parameter between patients with MetS diagnosed with the three different definitions. Irrespective of which definition was used, the surgical treatment rate was not significantly different in patients diagnosed with than without MetS, or between the patients with MetS diagnosed with the three different definitions. The authors suggest that it does not matter which of the aforementioned three definitions is used during the evaluation of MetS in men with BPE/LUTS.

Prostate-specific antigen lowering effect of metabolic syndrome is influenced by prostate volume

OBJECTIVES

To investigate the influence of metabolic syndrome on prostate-specific antigen levels by considering prostate volume and plasma volume.

METHODS

We retrospectively analyzed 4111 men who underwent routine check-ups including prostate-specific antigen and transrectal ultrasonography. The definition of metabolic syndrome was based on the modified Adult Treatment Panel III criteria. Prostate-specific antigen mass density (prostate-specific antigen × plasma volume / prostate volume) was calculated for adjusting plasma volume and prostate volume. We compared prostate-specific antigen and prostate-specific antigen mass density levels of participants with metabolic syndrome (metabolic syndrome group, n = 1242) and without metabolic syndrome (non-prostate-specific antigen metabolic syndrome group, n = 2869). To evaluate the impact of metabolic syndrome on prostate-specific antigen, linear regression analysis for the natural logarithm of prostate-specific antigen was used.

RESULTS

Patients in the metabolic syndrome group had significantly older age (P < 0.001), larger prostate volume (P < 0.001), higher plasma volume (P < 0.001) and lower mean serum prostate-specific antigen (non-metabolic syndrome group vs metabolic syndrome group; 1.22 ± 0.91 vs 1.15 ± 0.76 ng/mL, P = 0.006). Prostate-specific antigen mass density in the metabolic syndrome group was still significantly lower than that in the metabolic syndrome group (0.124 ± 0.084 vs 0.115 ± 0.071 μg/mL, P = 0.001). After adjusting for age, prostate volume and plasma volume using linear regression model, the presence of metabolic syndrome was a significant independent factor for lower prostate-specific antigen (prostate-specific antigen decrease by 4.1%, P = 0.046).

CONCLUSIONS

Prostate-specific antigen levels in patients with metabolic syndrome seem to be lower, and this finding might be affected by the prostate volume.

Impact of metabolic syndrome on response to medical treatment of benign prostatic hyperplasia

Purpose

To investigate the effect of metabolic syndrome (MetS) on the response to medical therapy of benign prostatic hyperplasia (BPH) after a 3-month period of treatment.

Materials and Methods

This was a cohort study of 100 patients, 47 with MetS and 53 without MetS, referred to either the primary care unit or referral hospital with BPH who had moderate lower urinary tract symptoms of prostate involvement and were candidates for medical treatment. Our main outcome was response to medical treatment with prazosin 1 mg twice a day and finasteride 5 mg daily in patients with BPH on the basis of International Prostate Symptom Score (IPSS). Multivariate analysis of covariance was used to compare BPH treatment response in patients with and without MetS before and after receiving treatment.

Results

The mean volume of the prostate was significantly higher in MetS patients than in patients without MetS (57±32.65 mL compared with 46.00±20.19 mL, p=0.036). The control group demonstrated an 11-unit reduction in IPSS, whereas those with MetS showed a reduction in the symptom score of only 6 units (p<0.001). Regarding the components of MetS separately, triglyceride (p<0.001), fasting blood sugar (p=0.001), and waist circumference (p=0.028) significantly affected the clinical progression of BPH. The observational nature of this study may be a limitation in comparison with an interventional study.

Conclusions

The results of the present study showed that MetS can negatively affect the response to medical treatment of BPH. Therefore, it is necessary to consider MetS in selecting patients with BPH for drug therapy.

Metabolic syndrome and benign prostatic enlargement: a systematic review and meta-analysis

OBJECTIVE

To summarise and meta-analyse current literature on metabolic syndrome (MetS) and benign prostatic enlargement (BPE), focusing on all the components of MetS and their relationship with prostate volume, transitional zone volume, prostate-specific antigen and urinary symptoms, as evidence suggests an association between MetS and lower urinary tract symptoms (LUTS) due to BPE.

METHODS

An extensive PubMed and Scopus search was performed including the following keywords: 'metabolic syndrome', 'diabetes', 'hypertension', 'obesity' and 'dyslipidaemia' combined with 'lower urinary tract symptoms', 'benign prostatic enlargement', 'benign prostatic hyperplasia' and 'prostate'.

RESULTS

Of the retrieved articles, 82 were selected for detailed evaluation, and eight were included in this review. The eight studies enrolled 5403 patients, of which 1426 (26.4%) had MetS defined according to current classification. Patients with MetS had significantly higher total prostate volume when compared with those without MetS (+1.8 mL, 95% confidence interval [CI] 0.74-2.87; P < 0.001). Conversely, there were no differences between patients with or without MetS for International Prostate Symptom Score total or LUTS subdomain scores. Meta-regression analysis showed that differences in total prostate volume were significantly higher in older (adjusted r = 0.09; P = 0.02), obese patients (adjusted r = 0.26; P < 0.005) and low serum high-density lipoprotein cholesterol concentrations (adjusted r = -0.33; P < 0.001).

CONCLUSIONS

Our results underline the exacerbating role of MetS-induced metabolic derangements in the development of BPE. Obese, dyslipidaemic, and aged men have a higher risk of having MetS as a determinant of their prostate enlargement.

Relationships between Prostate-Specific Antigen, Prostate Volume, and Components of Metabolic Syndrome in Healthy Korean Men

Purpose

Metabolic syndrome (MS) plays a potential role in the etiology of benign prostatic hyperplasia (BPH). Recent studies have reported on an association between MS and BPH. However, there has been no consensus on recent results. This study was conducted to evaluate the associations among prostate-specific antigen (PSA), prostate volume (PV), and metabolic components in men who visited our health promotion center.

Materials and Methods

During the period from January 2005 to December 2010, 521 consecutive men (age range, 40 to 70 years) who underwent transrectal ultrasonography were enrolled in this retrospective study. The health screening program includes blood pressure, body measurements (height, weight, waist circumference, body mass index), biochemical analysis (serum glucose, total cholesterol, triglycerides, high-density and low-density lipoprotein cholesterol, fasting plasma glucose, tumor markers), stool and urine analysis, and a detailed clinical examination.

Results

The serum PSA level and PV were significantly higher in patients with MS than in patients without MS, retrospectively (p<0.001, p<0.001). Patients with more than one metabolic component were significantly more likely to have a larger PV and higher serum PSA level. The serum PSA level and PV were increased in a similar manner with the increasing sum of MS components (p<0.0001, p<0.0001).

Conclusions

The MS components were associated with larger PV and higher serum PSA level. Therefore, each MS component could be an important factor in BPH development and management.

The illusion of prostate-specific antigen decline in patients with metabolic syndrome and insulin resistance

What's known on the subject? and What does the study add? Studies have shown that PSA is negatively associated with obesity as a result of hemodilution or metabolic effect. Hemodilution could be the main reason for low PSA levels in obese men. However, the intrinsic metabolic effects such as insulin resistance (IR) or metabolic syndrome (MS) on PSA level have not been clearly evaluated although obesity is closely tied to MS and IR. We regarded MS and IR as the pathophysiological cornerstone of metabolic disorder in obesity and analyzed the relationships among MS, IR, and PSA levels, and plasma volume by using the concept of PSA mass, the total circulating PSA protein. PSA mass did not change depending on the severity of the obesity, MS or IR. Even the group with both MS and IR, which could be the most metabolically disturbed in this study, did not have different PSA mass, comparing with the group without any MS or IR. Thus, the decline in PSA level in men with MS or IR can be also explained by increased plasma volume other than any intrinsic metabolic effects.

OBJECTIVE

• To investigate the detailed mechanism of prostate-specific antigen (PSA) decline in metabolic syndrome (MS) and insulin resistance (IR), which lowers the predictive value of the PSA test, we examined the effect of haemodilution and the possibility of an intrinsic metabolic effect.

PATIENTS AND METHODS

• We analysed 28,315 men who underwent routine check-ups. We compared the age-adjusted mean PSA levels in subjects with and without MS before and after adjusting or stratifying the plasma volume. We analysed changes in PSA level, plasma volume and PSA mass according to obesity grade, number of MS components, IR severity and diagnosis of MS, IR or both using an analysis of covariance.

RESULTS

• The PSA levels were lower in the group with MS than in the group without MS (P= 0.001), but this difference disappeared after adjusting or stratifying the plasma volume (P > 0.05 for all). The PSA levels decreased, plasma volume increased, and PSA mass did not change as the number of MS components increased (P= 0.002, P < 0.001, P= 0.55, respectively) or the IR severity increased (P= 0.001, P < 0.001, P= 0.34, respectively). • Similarly, PSA levels were lower, plasma volumes were higher and PSA masses were the same in subjects with MS (P= 0.002, P < 0.001, P= 0.10, respectively), IR (P= 0.018, P < 0.001, P= 0.94, respectively), or both (P= 0.003, P < 0.001, P= 0.86, respectively) than in subjects without those conditions.

CONCLUSION

• The PSA decline in MS and IR may result simply from a haemodilution effect and be unrelated to intrinsic metabolic disturbances. For this reason, PSA levels could be underestimated in patients with MS or IR because of haemodilution.