👤 Wojciech Pawlak

Diagnosis of affective disorders among adolescent population links with the high risk of suicide attempt. The use of clinical psychological scales and biological markers may help to understand the background of suicidal process. Here we present the exploratory data study on retrospective suicide attempt risk factors and classification model of diagnosis conversion from major depressive disorder to bipolar disorder among adolescent population. This retrospective classification study was conducted on 45 adolescent/early-adulthood patients with the diagnosis of major depressive disorders. The psychological profile of patients was assessed with the use of standard clinical scales, like: Defence Style Questionnaire, Barrat Impulsiveness Scale, Beck Depression Inventory, Family APGAR, Emotional Intelligence Questionnaire and Temperament and Character Inventory. We assessed also the baseline concentration of blood-serum proteins: brain-derived neurotrophic factor, proBDNF, epidermal growth factor, macrophage migration inhibitory protein, and Stem Cell Factor. Suicide attempt history was determined at baseline (lifetime occurrence). The machine learning were used to assess the classification of the risk of suicidal attempt as well as diagnosis conversion from major depression to bipolar disorder. The winning models of machine learning were logistic regression and random forest. Regarding the suicidal attempt risk classification, significant coefficient were found mainly in Hamilton Depression Rating Scale (both factor and item assessment) and Temperament and Character Inventory (AUC = 0.74 (95% CI: 0.53-0.91), permutation p = 0.003). Serum biomarkers showed no discriminative ability (AUC = 0.35-0.40, p > 0.5) for suicide attempts in the past. We found not reliable clinical and biological data on the diagnosis conversion prediction. Clinical psychological scales, not peripheral biomarkers, distinguished suicide attempters in this exploratory analysis. Show less

Obesity is a complex, multifactorial disease wherein the excessive accumulation of adipose tissue leads to adverse health outcomes, such as diabetes, cardiovascular disease and musculoskeletal disorders. Obesity also impacts both the risk and the clinical prognosis of heart failure (HF). The accumulation of adipose tissue results in metabolic dysregulation, including increased levels of pro-inflammatory cytokines and adipokines. These alterations are strongly associated with the development and progression of HF. Another significant comorbidity in patients with HF is sarcopenia, characterized by progressive loss of muscle mass and strength, affecting the quality of life. The study aims to critically synthesize the mechanisms by which modern pharmacological treatments-sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 receptor (GLP-1R) agonists, and dual GIPR/GLP-1R agonists-modulate body mass composition, and to analyze the specific implications of these changes (e.g., visceral fat reduction versus lean mass loss) for heart failure (HF) prognosis and management. Show less

Early-onset psychosis presents diagnostic challenges due to overlapping clinical presentations and complex comorbidities, typically requiring specialized tertiary care with extensive neuroimaging, neuropsychometric testing, and multidisciplinary evaluation. This case-control study investigated whether machine learning could integrate multiple diagnostic modalities to create an objective diagnostic framework for early-onset psychosis. We recruited 45 patients with early-onset psychosis and 34 healthy controls from a tertiary referral centre. Participants underwent comprehensive assessment including serum protein biomarker analysis (brain-derived neurotrophic factor, proBDNF, p75 neurotrophin receptor, S100B), neuropsychometric testing (Iowa Gambling Task, Simple Response Time, Zabor Verbal Task), and demographic evaluation. Four machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost) were trained on five feature combinations using nested cross-validation with hyperparameter optimization. XGBoost demonstrated superior performance, achieving optimal classification with the complete multimodal dataset (accuracy: 0.91 ± 0.08, precision: 0.92 ± 0.08, area under curve: 0.97 ± 0.04). Feature importance analysis revealed cognitive measures, particularly Zabor Verbal Task errors and response time parameters, as most discriminative, with brain-derived neurotrophic factor pathway components showing highest biomarker importance. Machine learning effectively integrated neuropsychometric and protein biomarker data for high-accuracy early-onset psychosis classification, with multimodal approaches outperforming single-domain assessments. Show less

Severe psychological trauma triggers genetic, biochemical and morphological changes in amygdala neurons, which underpin the development of stress-induced behavioural abnormalities, such as high levels of anxiety. miRNAs are small, non-coding RNA fragments that orchestrate complex neuronal responses by simultaneous transcriptional/translational repression of multiple target genes. Here we show that miR-483-5p in the amygdala of male mice counterbalances the structural, functional and behavioural consequences of stress to promote a reduction in anxiety-like behaviour. Upon stress, miR-483-5p is upregulated in the synaptic compartment of amygdala neurons and directly represses three stress-associated genes: Pgap2, Gpx3 and Macf1. Upregulation of miR-483-5p leads to selective contraction of distal parts of the dendritic arbour and conversion of immature filopodia into mature, mushroom-like dendritic spines. Consistent with its role in reducing the stress response, upregulation of miR-483-5p in the basolateral amygdala produces a reduction in anxiety-like behaviour. Stress-induced neuromorphological and behavioural effects of miR-483-5p can be recapitulated by shRNA mediated suppression of Pgap2 and prevented by simultaneous overexpression of miR-483-5p-resistant Pgap2. Our results demonstrate that miR-483-5p is sufficient to confer a reduction in anxiety-like behaviour and point to miR-483-5p-mediated repression of Pgap2 as a critical cellular event offsetting the functional and behavioural consequences of psychological stress. Show less

Psoriasis, vitiligo and lichen planus (LP) are autoimmune skin diseases associated with metabolic syndrome. Angiopoietin-like 4 (ANGPTL4) is a member of angiopoietin-like proteins, which play an important role in lipid metabolism, and its serum concentration has been proposed as a biomarker of cardiometabolic complications, especially coronary artery disease (CAD). The study involved 56 patients with abovementioned dermatoses and 29 sex- and age-matched volunteers without dermatoses. ANGPTL4 serum concentration was measured by ELISA. ANGPTL4 concentration was statistically significantly higher in patients with LP compared to the control group (p < 0.01); moreover, it was significantly higher than in patients with psoriasis and vitiligo (p < 0.001, p < 0.01, respectively). There was no statistically significant difference in ANGPTL4 concentration between patients with psoriasis or vitiligo and controls. There was no correlation between ANGPTL4 concentration and age or BMI in all study groups. There was a positive correlation between ANGPTL4 concentration and fasting glucose (R = 0.43) and AST activity (R = 0.39) in psoriatic patients and ALT activity in patients with vitiligo (R = 0.44). ANGPTL4 could be a potential marker of metabolic complications in patients with LP, especially CAD. Perhaps patients with LP are more prone to CAD compared to the other two dermatoses, which requires further research. Show less

The loss of cardioprotection observed in premenopausal, diabetic women may result from the interplay between epigenetic, metabolic, and immunological factors. The aim of this study was to evaluate the concentration of sirtuin 1, visfatin, and IL-27 in relation to cardiovascular parameters and Hashimoto's disease (HD) in young, asymptomatic women with type 1 diabetes mellitus (T1DM). Thyroid ultrasound, carotid intima-media thickness (cIMT) measurement, electrocardiography, and echocardiography were performed in 50 euthyroid females with T1DM (28 with HD and 22 without concomitant diseases) and 30 controls. The concentrations of serum sirtuin 1, visfatin and IL-27 were assessed using ELISA. The T1DM and HD group had higher cIMT ( Show less

The pig oocyte maturation protocol differs from other mammalian species due to dependence on follicular fluid (FF) supplementation. One of the most abundant components of the porcine follicular fluid are fatty acids (FAs). Although evidence from other mammalian models revealed a negative impact of saturated fatty acids (SFA) on developmental competence of oocytes, pig has not yet been widely analyzed. Therefore, we aimed to investigate whether supplementation of IVM medium with 150 μM of stearic acid (SA) and oleic acid (OA) affects lipid content and expression of genes related to fatty acid metabolism in porcine cumulus-oocyte complexes and parthenogenetic embryo development. We found significant influence of fatty acids on lipid metabolism in cumulus cells without affecting the oocyte proper. The expression of ACACA, SCD, PLIN2, FADS1, and FADS2 genes was upregulated (P < 0.01) in cumulus cells, while their expression in oocytes did not change. The increase in gene expression was more pronounced in the case of OA (e.g., up to 30-fold increase in PLIN2 transcript level compared to the control). The number of lipid droplets and occupied area increased significantly in the cumulus cells and did not change in oocytes after SA treatment. Oleic acid improved the blastocyst rate (48 vs 32% in control), whereas stearic acid did not affect this parameter (27%). Additionally, we have discovered a phenotypic diversity of LD in cumulus cells in response to FA supplementation, suggesting extensive lipolysis in response to SA. Stearic acid excess in maturation media led to the formation of multiple micro lipid droplets in cumulus cells. Show less

Compared to other mammalian species, porcine oocytes and embryos are characterized by large amounts of lipids stored mainly in the form of droplets in the cytoplasm. The amount and the morphology of lipid droplets (LD) change throughout the preimplantation development, however, relatively little is known about expression of genes involved in lipid metabolism of early embryos. We compared porcine and bovine blastocyst stage embryos as well as dissected inner cell mass (ICM) and trophoblast (TE) cell populations with regard to lipid droplet storage and expression of genes functionally annotated to selected lipid gene ontology terms using RNA-seq. Comparing the number and the volume occupied by LD between bovine and porcine blastocysts, we have found significant differences both at the level of single embryo and a single blastomere. Aside from different lipid content, we found that embryos regulate the lipid metabolism differentially at the gene expression level. Out of 125 genes, we found 73 to be differentially expressed between entire porcine and bovine blastocyst, and 36 and 51 to be divergent between ICM and TE cell lines. We noticed significant involvement of cholesterol and ganglioside metabolism in preimplantation embryos, as well as a possible shift towards glucose, rather than pyruvate dependence in bovine embryos. A number of genes like Show less

Mandibular prognathism is defined as an abnormal forward projection of the mandible beyond the standard relation to the cranial base and it is usually categorized as both a skeletal Class III pattern and Angle Class III malocclusion. The etiology of mandibular prognathism is still uncertain, with various genetic, epigenetic, and environmental factors possibly involved. However, many reports on its coexistence in both twins and segregation in families suggest the importance of genetic influences. A multifactorial and polygenic background with a threshold for expression or an autosomal dominant mode with incomplete penetrance and variable expressivity are the most probable inheritance patterns. Linkage analyses have, thus far, shown the statistical significance of such loci as 1p22.1, 1p22.3, 1p32.2, 1p36, 3q26.2, 4p16.1, 6q25, 11q22, 12pter-p12.3, 12q13.13, 12q23, 12q24.11, 14q24.3 to 31.2, and 19p13.2. The following appear among candidate genes: MATN1, EPB41, growth hormone receptor, COL2A1, COL1A1, MYO1H, DUSP6, ARHGAP21, ADAMTS1, FGF23, FGFR2, TBX5, ALPL, HSPG2, EVC, EVC2, the HoxC gene cluster, insulin-like growth factor 1, PLXNA2, SSX2IP, TGFB3, LTBP2, MMP13/CLG3, KRT7, and FBN3. On the other hand, MYH1, MYH2, MYH3, MYH7, MYH8, FOXO3, NFATC1, PTGS2, KAT6B, HDAC4, and RUNX2 expression is suspected to be involved in the epigenetic regulations behind the mandibular prognathism phenotype. Show less

Gestational diabetes mellitus (GDM) is the carbohydrate intolerance that can occur in pregnancy. Genetic polymorphisms associated with type 2 diabetes could be considered as genetic determinants of GDM. The aim of this study was to examine the association between GCK, GCKR, FADS1, DGKB/TMEM195 and CDKAL1 gene polymorphisms and the development of gestational diabetes. These genetic polymorphisms are involved in glucose and lipid metabolism and are associated with increased risk for diabetes type 2. This case-control study included 204 pregnant women with GDM and 207 pregnant women with normal glucose tolerance. The diagnosis of GDM was based on a 75-gram oral glucose tolerance test at 24 to 28 weeks' gestation. There was a statistically significant association between FADS1 rs174550 gene polymorphism and GDM. Among women with GDM, a predominance of C-allele carriers (CC and TC genotypes) was observed (CC+TC vs. TT; p=0.00065; OR=1.97, 95% CI, 1.33 to 2.92), and this association remained significant after correction for multiple testing. In the case of the GCK rs1799884 polymorphism, there was a predominance of the T allele in women with GDM; however, this association reached only borderline statistical significance (p=0.08). Women with higher numbers of GCK rs1799884 T alleles more commonly required insulin treatment; likewise, the CDKAL1 rs10946398 CC genotype was associated with the need for insulin therapy. However, these associations do not pass the statistical significance threshold after correction for multiple testing. The results of our study suggest an association between the rs174550 FADS1 polymorphism and GDM risk. Show less

In testis mRNA stability and translation initiation are extensively under the control of poly(A)-binding proteins (PABP). Here we have cloned a new human testis-specific PABP (PABP3) of 631 amino acids (70.1 kDa) with 92.5% identical residues to the ubiquitous PABP1. A northern blot of multiple human tissues hybridised with PABP3- and PABP1-specific oligonucleotide probes revealed two PABP3 mRNAs (2.1 and 2.5 kb) detected only in testis, whereas PABP1 mRNA (3.2 kb) was present in all tested tissues. In human adult testis, PABP3 mRNA expression was restricted to round spermatids, whereas PABP1 was expressed in these cells as well as in pachytene spermatocytes. PABP3-specific antibodies identified a protein of 70 kDa in human testis extracts. This protein binds poly(A) with a slightly lower affinity as compared to PABP1. The human PABP3 gene is intronless with a transcription start site 61 nt upstream from the initiation codon. A sequence of 256 bp upstream from the transcription start site drives the promoter activity of PABP3 and its tissue-specific expression. The expression of PABP3 might be a way to bypass PABP1 translational repression and to produce the amount of PABP needed for active mRNA translation in spermatids. Show less