Background/Objectives: The prognostic nutritional index (PNI) and Glasgow Prognostic Score (GPS) are associated with patients’ nutritional and immune statuses. One important factor in the pathophysiology of type 2 diabetes mellitus (T2DM) is inflammation. Being present in insulin-target tissues, chronic tissue inflammation has become recognized as a crucial aspect of obesity and type 2 diabetes. This study aimed to compare the PNI and GPS levels of the subjects with T2DM to those of prediabetes (preDM) individuals. Furthermore, the goal was to investigate how these inflammatory markers relate to different types of obesity and whether the combination of PNI, GPS, and obesity-related indices was associated with any particular prognostic variables. Methods: In this study, we enrolled one-hundred patients with newly diagnosed T2DM and one-hundred patients with preDM. Results: Four findings emerged from this observational study. As a first observation, 28% of patients with preDM and 15% of patients with T2DM had a normal weight, while up to 43% of patients with preDM and 60% of patients with T2DM were obese. The second important observation was that the PNI of the T2DM patients was significantly lower than the PNI of the patients with preDM (p < 0.0001). The PNI showed that patients with T2DM had a moderate-to-severe malnutrition status (median value of 38.00). Patients with preDM had a mild-to-moderate malnutrition status (median value of 61.00) at diagnosis. Third, observed in the current study, preDM patients with PNI < 61.00 and T2DM patients with a PNI < 38.00 were associated with significantly higher median values of the waist-to-height ratio (WHtR) (p = 0.041, and p = 0.034, respectively) and body mass index (BMI) (p = 0.016, and p = 0.041, respectively). Fourth, this study also revealed, in the T2DM group, a moderate and statistically significant negative correlation between PNI and weight (rho = −0.322, p = 0.035), waist circumference (WC) (rho = −0.308, p = 0.042), hip circumference (HC) (rho = −0.338, p = 0.039), WHtR (rho = −0.341, p = 0.022), body adiposity index (BAI) (rho = −0.312, p = 0.032), and fasting plasma glucose (FPG) (rho = −0.318, p = 0.029). Additionally, the PNI values expressed a weak negative correlation with BMI (rho = −0.279, p = 0.015), and glycated hemoglobin A1c (HbA1c) (rho = −0.245, p = 0.025). The PNI levels exhibited a single positive correlation, weak but statistically significant, with estimated glomerular filtration rate (eGFR-CKD-EPI) values (rho = 0.263, p = 0.018). Conclusions: The findings of this study regarding the correlations between PNI, GPS, and different obesity-related indices in people with diabetes or prediabetes suggest that these indices, which assess nutritional and inflammatory status, can be used as independent predictor factors associated with the four pillars of DM management (glucose, blood pressure, lipids, and weight control) recommended by the American Diabetes Association (ADA).

Introduction: Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) share a bidirectional link, and the innovative antidiabetic molecules GLP-1 Ras and SGLT-2is have proven cardiac and renal benefits, respectively. This study aimed to evaluate CV risk categories, along with lipid-lowering and antidiabetic treatments, in patients with T2DM from a real-life setting in Romania. Material and Methods: A cross-sectional evaluation was conducted on 405 consecutively admitted patients with T2DM in an ambulatory setting, assessing them according to the 2019 ESC/EAS guidelines for moderate, high, and very high CV risk categories. Results: The average age of the group was 58 ± 9.96 years, with 38.5% being female. The mean HbA1C level was 7.2 ± 1.7%. Comorbidities included HBP in 88.1% of patients, with a mean SBP and DBP of 133.2 ± 13.7 mm Hg and 79.9 ± 9 mm Hg, respectively, and obesity in 66.41%, with a mean BMI of 33 ± 6.33 kg/m². The mean LDL-C levels varied by CV risk category: 90.1 ± 34.22 mg/dL in very high risk, 98.63 ± 33.26 mg/dL in high risk, and 105 ± 37.1 mg/dL in moderate risk. Prescribed treatments included metformin (100%), statins (77.5%), GLP-1 Ras (29.4%), and SGLT-2is (29.4%). Conclusions: In Romania, patients with T2DM often achieve glycemic control targets but fail to meet composite targets that include glycemic, BP, and lipid control. Additionally, few patients benefit from innovative glucose-lowering therapies with proven cardio-renal benefits or from statins.

Obesity represents a complex, multifactorial syndrome that represents a high burden for public health systems worldwide. Serotonin is an important factor in feeding behavior and weight regulation and their interplay implies multiple mechanisms that could explain the correlation with obesity, so understanding these interconnections is essential for developing targeted therapeutic strategies. A systematic review of the literature was conducted using PubMed and Scopus databases, using articles published between 1 January 2015 and 1 December 2024, based on predefined inclusion and exclusion criteria. After the selection process, 22 studies were selected for detailed analysis, focusing on the role of serotonin in obesity. Serotonin significantly influences appetite control and energy homeostasis through multiples pathways, including insulin resistance, high-fat diets, gut microbiota, low-grade inflammation, interferences with tryptophan metabolism, psychiatric modifications, genetic alterations of serotonin receptors, serotonin implications in eating behavior, and neurohormonal regulation of appetite. This review highlights the multidimensional characteristics of the serotonin–obesity association, along with its significance in metabolic and psychiatric pathologies. In order to develop more efficient methods for managing obesity, future studies should concentrate on serotonergic regulation and complex management strategies involving the neurohormonal axis.

Background/objectives: Psoriasis is a chronic inflammatory autoimmune disease with important systemic and psychosocial impacts. The association with metabolic syndrome (MS) impairs disease severity and negatively influences patient-reported outcomes, particularly their quality of life as measured by the Dermatology Life Quality Index (DLQI). This study aims to investigate the relationship between systemic inflammation, DLQI scores and disease severity, focusing on the persistent impact of MS on patient outcomes after one year of treatment. Methods: This retrospective cross-sectional study included 150 psoriasis patients, with 74 also meeting the diagnostic criteria for MS. Clinical and inflammatory markers such as systemic immune–inflammatory index (SII), cytokines (IL-17A, IL-23), leptin, BMI and triglycerides were analyzed alongside PASI and DLQI scores. Results: Patients with MS had significantly higher PASI and DLQI scores compared to those without MS, reflecting worse disease severity and quality of life (p < 0.01). Elevated SII levels were strongly associated with higher DLQI scores (p < 0.01). Despite considerable reductions in PASI scores over one year of treatment, DLQI scores indicated a persistent negative impact of MS on quality of life. Notably, markers of systemic inflammation, such as SII, leptin and cytokines, correlated positively with both PASI and DLQI scores, highlighting the role of systemic inflammation in disease burden. Conclusions: This study underlines the significant role of systemic inflammation and metabolic comorbidities in amplifying the burden of psoriasis. The persistent impact of MS on quality of life despite clinical improvement underscores the need for comprehensive treatment approaches targeting systemic inflammation, metabolic health and psychosocial factors to improve long-term outcomes.

Neuroendocrine tumors are uncommon in the gastrointestinal system but can develop in the majority of the body’s epithelial organs. Our goal was to examine the presence and clinical application of serum dopamine (DA), serotonin (ST), norepinephrine (NE), and epinephrine (EPI), in addition to determining the significance of the Prognostic Nutritional Index (PNI), Glasgow Prognostic Score (GPS), and systemic inflammatory response (SIR) markers as a prognostic factor for patients with colorectal neuroendocrine tumors (CR-NETs), in various tumor–node–metastasis (TNM) stages. We also wanted to identify the possible connection between them. This study included 25 consecutive patients who were diagnosed with CR-NETs and a control group consisting of 60 patients with newly diagnosed colorectal cancer (CRC). We used the Enzyme-Linked Immunosorbent Assay (ELISA) technique. This study revealed that CR-NET patients showed significantly higher serum levels of DA compared to CRC patients. We showed that serum DA was present in the early stages of CR-NETs, with increasing levels as we advanced through the TNM stages. Moreover, we found a close relationship between the levels of DA and the inflammation and nutritional status of the CR-NET patients in this study. CR-NET patients from the PNI < 47.00 subgroup had a higher level of DA than those from the PNI ≥ 47.00 subgroup. Pearson’s correlation analysis revealed correlations between DA, PNI, and the neutrophil/lymphocyte ratio (NLR) and the platelet/lymphocyte ratio (PLR). Both hematological indices were negatively correlated with albumin (ALB). Our investigation’s findings relating to the PNI, GPS, SIR, and DA indicate that these tools can be markers of nutritional and systemic inflammatory status, are simple to use, and are repeatable. Further research on this topic could provide valuable insights into which biomarkers to incorporate into clinical practice for the management of CR-NET patients.

Background/Objectives: Psoriasis is a chronic inflammatory autoimmune disease with important systemic and psychosocial impacts. The association with metabolic syndrome (MS) impairs disease severity and negatively influences patient-reported outcomes, particularly their quality of life as measured by the Dermatology Life Quality Index (DLQI). This study aims to investigate the relationship between systemic inflammation, DLQI scores, and disease severity, focusing on the persistent impact of MS on patient outcomes after one year of treatment. Methods: This retrospective cross-sectional study included 150 psoriasis patients, with 74 also meeting the diagnostic criteria for MS. Clinical and inflammatory markers such as systemic immune-inflammatory index (SII), cytokines (IL-17A, IL-23), leptin, BMI, and triglycerides were analyzed alongside PASI and DLQI scores. Results: Patients with MS had significantly higher PASI and DLQI scores compared to those without MS, reflecting worse disease severity and quality of life (p < 0.001). Elevated SII levels were strongly associated with higher DLQI scores (p < 0.0001). Despite considerable reductions in PASI scores over one year of treatment, DLQI scores indicated a persistent negative impact of MS on quality of life. Notably, markers of systemic inflammation, such as SII, leptin, and cytokines, correlated positively with both PASI and DLQI scores, highlighting the role of systemic inflammation in disease burden. Conclusions: This study underlines the significant role of systemic inflammation and metabolic comorbidities in amplifying the burden of psoriasis. The persistent impact of MS on quality of life despite clinical improvement underscores the need for comprehensive treatment approaches targeting systemic inflammation, metabolic health, and psychosocial factors to improve long-term outcomes.