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Introduction: Post-COVID-19 syndrome (PCS) is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection-associated chronic condition characterized by long-term violations of physical and mental health. People with type 2 diabetes (T2D) are at high risk for severe COVID-19 and PCS., Aim: The current study aimed to define the predictors of PCS development in people with T2D for further planning of preventive measures and improving patient outcomes., Materials and Methods: The data were collected through the national survey targeting persons with T2D concerning the history of COVID-19 course and signs and symptoms that developed during or after COVID-19 and continued for more than 12 weeks and were not explained by an alternative diagnosis. In total, 469 patients from different regions of Ukraine were enrolled in the study. Among them, 227 patients reported PCS development (main group), while 242 patients did not claim PCS symptoms (comparison group). Stepwise multivariate logistic regression and probabilistic neural network (PNN) models were used to select independent risk factors., Results: Based on the survey data, 8 independent factors associated with the risk of PCS development in T2D patients were selected: newly diagnosed T2D (OR 4.86; 95% CI 2.55-9.28; p<0.001), female sex (OR 1.29; 95% CI 0.86-1.94; p=0.220), COVID-19 severity (OR 1.35 95% CI 1.05-1.70; p=0.018), myocardial infarction (OR 2.42 95% CI 1.26-4.64; p=0.002) and stroke (OR 3.68 95% CI 1.70-7.96; p=0.001) in anamnesis, HbA1c above 9.2% (OR 2.17 95% CI 1.37-3.43; p=0.001), and the use of insulin analogs (OR 2.28 95% CI 1.31-3.94; p=0.003) vs human insulin (OR 0.67 95% CI 0.39-1.15; p=0.146). Although obesity aggravated COVID-19 severity, it did not impact PCS development. In ROC analysis, the 8-factor multilayer perceptron (MLP) model exhibited better performance (AUC 0.808; 95% CІ 0.770-0.843), allowing the prediction of the risk of PCS development with a sensitivity of 71.4%, specificity of 76%, PPV of 73.6% and NPV of 73.9%., Conclusions: Patients who were newly diagnosed with T2D, had HbA1c above 9.2%, had previous cardiovascular or cerebrovascular events, and had severe COVID-19 associated with mechanical lung ventilation were at high risk for PCS., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Matviichuk, Yerokhovych, Zemskov, Ilkiv, Gurianov, Shaienko, Falalyeyeva, Sulaieva and Kobyliak.)

Post-COVID-19 syndrome (PCS) is an emerging health problem in people recovering from COVID-19 infection within the past 3-6 months. The current study aimed to define the predictive factors of PCS development by assessing the mitochondrial DNA (mtDNA) levels in blood leukocytes, inflammatory markers and HbA1c in type 2 diabetes patients (T2D) with regard to clinical phenotype, gender, and biological age. In this case-control study, 65 T2D patients were selected. Patients were divided into 2 groups depending on PCS presence: the PCS group (n = 44) and patients who did not develop PCS (n = 21) for up to 6 months after COVID-19 infection. HbA1c and mtDNA levels were the primary factors linked to PCS in different models. We observed significantly lower mtDNA content in T2D patients with PCS compared to those without PCS (1.26 ± 0.25 vs. 1.44 ± 0.24; p = 0.011). In gender-specific and age-related analyses, the mt-DNA amount did not differ significantly between the subgroups. According to the stepwise multivariate logistic regression analysis, low mtDNA content and HbA1c were independent variables associated with PCS development, regardless of oxygen, glucocorticoid therapy and COVID-19 severity. The top-performing model for PCS prediction was the gradient boosting machine (GBM). HbA1c and mtDNA had a notably greater influence than the other variables, indicating their potential as prognostic biomarkers., (© 2024. The Author(s).)

Type 2 diabetes (T2D) is a metabolic disease characterized by chronic hyperglycemia because of insulin resistance (IR) and\or pancreatic β-cell dysfunction. Last century research showed that gut microbiota has a direct effect on metabolism and metabolic diseases. New studies into the human microbiome and its connection with the host is making it possible to develop new therapies for a wide variety of diseases. Inflammation is a well-known precursor to metabolic syndrome, which increases the risk of hypertension, visceral obesity, and dyslipidemia, which can lead to T2D through the damage of pancreatic β-cell and reduce insulin secretion. Current understanding for beneficial effects of probiotics in T2D strictly rely on both animal and clinical data, which mostly focused on their impact on IR, anthropometric parameters, glycemic control and markers of chronic systemic inflammation. From the other hand, there is a lack of evidence-based probiotic efficacy on pancreatic β-cell function in terms of T2D and related metabolic disorders. Therefore, current review will focus on the efficacy of probiotics for the protection of β-cells damage and it`s mechanism in patients with T2D.

Introduction: There is growing evidence from animal and clinical studies suggesting probiotics can positively affect type 2 diabetes (T2D). In a previous randomized clinical study, we found that administering a live multistrain probiotic and absorbent smectite once a day for eight weeks to patients with T2D could reduce chronic systemic inflammatory state, insulin resistance, waist circumference and improve the glycemic profile. However, there is a lack of evidence supporting the efficacy of probiotic co-supplementation with absorbent smectite on pancreatic β-cell function in T2D., Aim: This secondary analysis aimed to assess the effectiveness of an alive multistrain probiotic co-supplementation with absorbent smectite vs placebo on β-cell function in T2D patients., Material and Methods: We performed a secondary analysis on a previously published randomized controlled trial (NCT04293731, NCT03614039) involving 46 patients with T2D. The main inclusion criteria were the presence of β-cell dysfunction (%B<60%) and insulin therapy alone or combined with oral anti-diabetic drugs. The primary outcome was assessing β-cell function as change C-peptide and %B., Results: We observed only a tendency for improving β-cell function (44.22 ± 12.80 vs 55.69 ± 25.75; р=0.094). The effectiveness of the therapy probiotic-smectite group was confirmed by fasting glycemia decreased by 14% (p=0.019), HbA1c - 5% (p=0.007), HOMA-2 - 17% (p=0.003) and increase of insulin sensitivity by 23% (p=0.005). Analysis of the cytokine profile showed that statistical differences after treatment were in the concentration of both pro-inflammatory cytokines: IL-1β (22.83 ± 9.04 vs 19.03 ± 5.57; p=0.045) and TNF-α (31.25 ± 11.32 vs 26.23 ± 10.13; p=0.041)., Conclusion: Adding a live multistrain probiotic and absorbent smectite supplement slightly improved β-cell function and reduced glycemic-related parameters in patients with T2D. This suggests that adjusting the gut microbiota could be a promising treatment for diabetes and warrants further investigation through more extensive studies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Savytska, Kyriienko, Zaychenko, Ostapchenko, Falalyeyeva and Kobyliak.)

Akkermansia muciniphila (A. muciniphila) is a mucin-degrading bacterium that commonly lives in the intestinal mucus layer. It is normally detected in human faecal specimens and is one of the few bacteria potentially associated to obesity development. In this narrative review, possible mechanisms that support how A. muciniphila is implicated in the pathogenesis of obesity and metabolic-associated disease are described with the evaluation of its role as an intermediary or independent agent whose manipulation could be useful in the management of metabolic disorders. The ampleness of A. muciniphila is notably diminished in obesity, type 2 diabetes (T2D), non-alcoholic fatty liver disease (NAFLD), cardiometabolic diseases and low-grade inflammation. Furthermore, an inverse relationship between A. muciniphila, body weight and insulin sensitivity has been observed in both humans and animals. Antidiabetic drugs, gastric bypass surgery, prebiotics and biologically active compounds, such as polyphenols or saponins, have been shown to be associated with A. muciniphila relative abundance and thus could have favourable effects on metabolic disorders. Furthermore, A. muciniphila supplementation alone has been correlated with weight reduction and improvement of metabolic disorders, including fat mass gain, adipose tissue inflammation, metabolic endotoxaemia, and insulin resistance. Nevertheless, since the primary beneficial impacts of this bacterium have been predominantly investigated in various preclinical models, these results need to be confirmed in randomized clinical trials.

Background: Type 2 diabetes is a metabolic disease characterized by hyperglycemia as a result of insulin resistance and decreased insulin secretion. A relatively large number of patients with this type of diabetes have abdominal obesity, which also affects insulin resistance development. Chronic hyperglycemia can lead to damage and dysfunction of various organs, and a striking example is diabetic nephropathy. Diabetic nephropathy is a specific kind of kidney damage that occurs due to complications of diabetes and is accompanied by the formation of diffuse or nodular glomerulosclerosis, which can lead to terminal renal failure and requires immediate substitution through renal therapy or renal transplantation. Diabetic nephropathy is diagnosed with albuminuria and a decrease in the rate of glomerular filtration., Methods: This review was based on a literature search for the most important evidence of vitamin D as a possible method of prevention for obesity, type 2 diabetes, and diabetic nephropathy. Collected published articles were summarized according to their overall themes., Results: In this review, we considered vitamin D as a possible method of treatment for type 2 diabetes, as well as its complications, including diabetic nephropathy., Conclusion: Studies show that vitamin D inhibits the renin-angiotensin-aldosterone system, resulting in improved renal function in diabetic nephropathy. Vitamin D also has antiinflammatory, antiproliferative, and anti-metastatic effects, which improve endothelial function., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Interaction between intestinal microbiota and obesity is becoming abundantly according to current many scientific investigations. In this article, probiotic therapy was offered as the promising strategy of metabolic disorders control through the recovery of microbiota composition and health maintenance with the help of impact on the abovementioned mechanisms. First, this therapy is safe, with minimal side effects, well-tolerated, and appropriate for long-term use. Second, it can improve body mass, glucose, and fat metabolism, increase insulin sensitivity, and decrease systemic chronic inflammation. In conclusion, the restorative role of gut microbiota on metabolic disorders and associated diseases could open new ways in the treatment of obesity, insulin resistance, and type 2 diabetes.

Background: Numerous non-drug therapies have emerged in recent years for the prevention and improvement of type 2 diabetes (T2D). However, therapies based on dietary modification and/or microbiota may replace a large part of drug therapies in the coming years., Aim: The aim of the current study was to conduct placebo-controlled randomize clinical trial for the efficiency of a combination of multiprobiotics with smectite absorbent gel (Symbiter-Forte formulation) as an adjunction to the standard anti-diabetic therapy., Methods: A total of 55 patients met the criteria and were included in double-blind single center RCT, to receive "Symbiter-Smectite" or placebo for 8-weeks administered as a sachet formulation. The primary outcome was the change in HOMA2-IR and insulin sensitivity (% S). Secondary outcomes were glycemic control parameters, β-cells functional activity, anthropometric parameters and markers of a chronic systemic inflammatory response., Results: Combined use of the probiotic mixture with smectite leads to a significant reduction in HOMA2-IR (3.14±0.97 vs 2.79±0.85; р=0.009) and improvement in % S (34.65±9.92 vs 39.42±12.78; p=0.011) after 8 weeks of the treatment period. Simultaneously, in the secondary outcome analysis lowering of HbA1c, waist circumference but not BMI and pro-inflammatory cytokines IL-1β (p=0.004), TNF-α (p=0.008), IL-6 (p=0.005) and IL-8 (p=0.042) were detected. In placebo group, changes were insignificant., Conclusion: Probiotic with smectite due to its absorbent activity and stabilization mucus layer properties can impact the synergistic enhancement of a single effect, which manifested with a significant reduction in IR, waist circumference, markers of chronic systemic inflammation and improvement of glycemic profile as compared to placebo., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Probiotics have beneficial effect on obesity related disorders in animal models. Despite a large number of animal data, randomized placebo-controlled trials (RCT) concluded that probiotics have a moderate effect on glycemic control-related parameters. However, effect of probiotics on insulin resistance are inconsistent., Aim: In a double-blind single center RCT, effect of alive multistrain probiotic vs. placebo on insulin resistance in type 2 diabetes patient were assessed., Methods: A total of 53 patients met the criteria for inclusion. They were randomly assigned to receive multiprobiotic "Symbiter" (concentrated biomass of 14 probiotic bacteria genera Bifidobacterium, Lactobacillus, Lactococcus, Propionibacterium) or placebo for 8-weeks administered as a sachet formulation. The primary main outcome was the change HOMA-IR (homeostasis model assessment-estimated insulin resistance) which calculated using Matthews et al.'s equation. Secondary outcomes were the changes in glycemic control-related parameters, anthropomorphic variables and cytokines., Results: Supplementation with alive multiprobiotic for 8 weeks was associated with significant reduction of HOMA-IR from 6.85 ± 0.76 to 5.13 ± 0.49 (p = 0.047), but remained static in the placebo group. With respect to our secondary outcomes, HbA1c insignificant decreased by 0.09% (p = 0.383) and 0.24% (p = 0.068) respectively in placebo and probiotics groups. However, in probiotic responders (n = 22, patient with decrease in HOMA-IR) after supplementation a significant reduction in HbA1c by 0.39% (p = 0.022) as compared to non-responders was observed. In addition, from markers of chronic systemic inflammatory state only TNF-α and IL-1β changes significantly after treatment with probiotics., Conclusion: Probiotic therapies modestly improved insulin resistance in patients with type 2 diabetes., (Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.)