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AFMN Biomedicine is an international, peer-reviewed, open-access journal dedicated to publishing high-quality original research and review articles in basic, translational, and clinical biomedicine, emphasizing discoveries of broad significance for the health sciences.

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Vol. 43, No. 2 (2026):

Published: 13.07.2026.

AFMN BIOMEDICINE

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ALTERATIONS IN LIVER FUNCTION BIOMARKERS AMONG MODERATELY SEVERE COVID‑19 PATIENTS IN SOUTHEASTERN SERBIA: A RETROSPECTIVE SINGLE‑CENTER STUDY

By Aleksandar Rankovic, Vladimir Petrovic, Maja Cvetanovic, Milica Cosic Petkovic, Lidija Popovic Dragonjic, Jelena Spasic, Goran Radenković, Braca Kundalić, Nikola Milenkovic

Liver biochemical abnormalities have been reported in nearly half of patients with SARS-CoV-2 infection. The study aimed to determine the prevalence of altered liver biomarkers (alanine transaminase—ALT, aspartate aminotransferase—AST, lactate dehydrogenase—LDH, gamma-glutamyl transferase—GGT, and albumin) in COVID-19 patients with a moderately severe clinical picture on hospital admission, and to assess the presence of altered liver-related biomarkers in the absence of a severe clinical presentation. Research material consisted of medical histories of patients with a moderately severe clinical picture of COVID-19 who were hospitalized at the Clinic for Infectious Diseases of the University Clinical Centre Niš. The study included 655 patients (425 male and 230 female) who were divided into three groups: patients without comorbidities (NC), patients with arterial hypertension (HTA), and patients previously diagnosed with diabetes mellitus (DM). Additionally, within each research group, patients were divided into three age subgroups: patients aged 20-40 years, 40-60 years, and over 60 years. AST, ALT, and LDH showed statistically significant differences across the defined groups, while GGT did not. Logistic regression confirmed increased odds for elevated AST and LDH values ​​in all older and comorbid groups, with the most pronounced effects for LDH. For ALT, significantly increased odds were observed among patients with HTA (40–60 years) and DM (40–60 years). The most pronounced changes were observed in elderly patients and those with hypertension and diabetes, with LDH emerging as the most sensitive, although non-specific biomarker, likely reflecting systemic inflammation and disease severity in addition to possible hepatic involvement.

Original article Online first
BODY COMPOSITION IN PHYSICALLY ACTIVE MALE STUDENTS ASSESSED USING MULTI-FREQUENCY BIOELECTRICAL IMPEDANCE ANALYSIS

By Valentin Leuciuc Florin, Elena Vizitiu Lakhdari, Dragoș Paul Florian, Vlad Teodor Grosu, Tatiana Dobrescu, Dalila Preljević, Saša Bubanj

Body composition is strongly influenced by physical activity and dietary habits. Male students enrolled in Physical Education and Sport programs represent a distinct population because their curricula include systematic physical activity that directly affects physiological characteristics. This study aimed to establish a representative body composition profile of physically active male Physical Education and Sport students using a multi-frequency bioelectrical impedance analyzer (BIA) and to evaluate the reliability and consistency of measurements across two assessments. A total of 108 male students aged 19–25 years participated in the study. Body composition was assessed using ten indicators: body fat percentage, visceral fat index, body mass index (BMI), muscle mass, skeletal muscle mass, sarcopenic index, total body water, body weight, height, and phase angle. Descriptive statistics, paired-samples t-tests, effect size analysis (Cohen’s d), and Bland–Altman analyses were used to evaluate agreement, reliability, and measurement consistency between pre- and post-test assessments. No statistically significant differences were observed between assessments for any parameter (p > 0.05). Effect sizes were trivial across all indicators, indicating negligible changes between measurements. Bland–Altman analysis revealed bias values close to zero and relatively narrow 95% limits of agreement, confirming good measurement reliability and reproducibility. Physically active male students exhibited a stable and reproducible body composition profile. The obtained values may serve as reference data for body composition assessment in similar populations. Although the BIA method demonstrated high reliability, it appears more sensitive to moderate-to-large changes than to very small individual physiological fluctuations.

Original article Online first
TEMPOROMANDIBULAR DISORDERS IN YOUNG SERBIAN POPULATION AN EPIDEMIOLOGIC STUDY

By Slobodan Dodić, Vladimir Sinobad, Srdjan D. Poštić

Temporomandibular disorders are a common problem in everyday dental practice. This study aimed to evaluate the prevalence of signs and symptoms of temporomandibular disorders (TMDs) in the young Serbian population. The study comprised 500 participants between 18 and 25 years of age from various regions of Serbia. Among this sample, 325 persons were males, and 175 were females. All participants were subject to a clinical examination: assessment of mandibular mobility and temporomandibular joint (TMJ) function, and recording any tenderness or pain during mandibular movements or palpation. The presence of signs and symptoms of TMDs was confirmed using the Helkimo’s dysfunction index (Di). According to the values of the Helkimo’s Di, the presence of signs or symptoms of TMD was confirmed in 327 (64.5%) examined subjects. The most prevalent signs were: disturbed mandibular kinematics (restricted mandibular opening, deviation or deflection at mouth opening) found in 74.5 % of the examined subjects; TMJ sounds during mandibular opening/ closing were found in 38.5% of subjects; sensitivity of masticatory muscles was confirmed in 10.4 %. Pain as the most severe symptom of TMD was found in only 5.2 % of the examined subjects. The signs and symptoms of TMDs were more prevalent in females than in males, the ratio being 3:1. The recorded signs and symptoms of TMD in this population group were of a mild nature. The severe symptoms of TMD (pain) were found in only 5.2 % of the examined persons.

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01.12.2021. Original article
Effect of zinc supplement on sleep quality in older adults: A randomized clinical trial study

By Abolfazl Afzali, Mojarrad Mohandes, Shahrbanoo Goli, Hossein Bagheri, Seyedmohammad Mirhosseini, Hossein Ebrahimi

The use of macronutrient and micronutrient foods is associated with the duration of sleep. This study aimed to determine the effect of zinc supplements on the sleep quality of older adults. The current parallel randomized clinical trial study was performed using a convenience sampling method. One hundred and fifty older adults who met the inclusion criteria were assigned to intervention and control group. The participants in the intervention group received a daily dose of 30 mg zinc supplementation pill for 70 days and the control group did not receive any supplement. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Serum zinc level in both groups was measured through the auto-analysis method. The questionnaire was completed and the serum level of zinc was measured twice, before the intervention and 70 days after the intervention. Both groups were homogeneous in terms of demographic variables, sleep quality, and serum zinc level before the intervention. Of all, 73.3% of older adults in the intervention group and 74.7% of older adults in the control group had poor sleep quality. Sleep quality in the intervention group, as compared with the control group, significantly improved after the intervention. Furthermore, serum zinc levels in older adults in the intervention group, as compared with the control group, significantly increased after the intervention. Based on the results of this study, it is recommended to utilize zinc supplementation as a new therapeutic approach for improving sleep quality in older adults.

01.12.2024. Case report
A severe case of snakebite envenoming by Vipera ammodytes in winter

By Slađana Pavić, Sonja Nikolić

31.10.2025. Review article
ACUTE EFFECTS OF VARIOUS EXERCISE MODALITIES ON GLYCEMIC CONTROL IN PATIENTS WITH TYPE 2 DIABETES: A SYSTEMATIC REVIEW

By Anja Lazić, Tatjana Jevtovic Stoimenov, Nebojša Trajković

01.12.2023. Review article
Pharmacokinetics of herb-drug interactions: Experimental models in Nigeria

By Mary Ologe, Yusuf Olalekan, Awodayo Adepiti, Olubunmi Atolani, Anoka Njan, Adedibu Tella, Ezekiel Iwalewa

01.12.2014. Original article
The Beneficial Biological Properties of Salicylic Acid

By Pavle Randjelović, Slavimir Veljković, Nenad Stojiljković, Dušan Sokolović, Ivan Ilić, Darko Laketić, Dušica Randjelović, Nebojša Randjelović

Salicylic acid is a phytochemical with beneficial effects on human well-being. Salicylic acid is a phenolic compound and is present in various plants where it has a vital role in protection against pathogenic agents. Natural sources include fruits, vegetables and spices. The most famous and defined effect of salicylic acid is prostaglandin synthesis inhibition. Salicylic acid has antiinflammatory effects through suppression of transcription of genes for cyclooxygenase. Most of the pharmacological properties of salicylic acid can be contributed to the inhibition of prostaglandin synthesis. Also, it was discovered that salicylic acid has other in vivo cyclooxygenase-independent pathways. Since salicylic acid does not inhibit cyclooxygenase considerably, the anti-inflammatory effect is not a consequence of direct inhibition of cyclooxygenase activity. Because of its fundamental role, it was suggested that inhibition of nuclear factor kappa B by salicylic acid is one of the key anti-inflammatory mechanisms of action for salicylates. One of the most studied properties of salicylic acid is its antioxidative activity. Salicylic acid is a confirmed inhibitor of oxidative stress. Salicylic acid is capable of binding iron. This fact is significant for antioxidative effect of salicylic acid because iron has an important function in the course of lipid peroxidation.

31.10.2025. Review article
EMERGENCY CONDITIONS IN PARKINSON’S DISEASE

By Jelena Stamenović, Vuk Milošević, Vanja Đurić

01.12.2024. Case report
Wernicke encephalopathy: Late-stage symptoms

By Aleksandra Lučić-Prokin, Vladimir Galić, Timea Kokai-Zekić, Vedran Žigić

01.12.2021. Review article
Eating and swallowing disorders in children with cleft lip and/or palate

By Jelena Todorović, Mirna Zelić, Lana Jerkić

01.12.2024. Original article
The application of artificial intelligence in the healthcare system management in the Republic of Serbia: Enhancing efficiency, predictive capacity, and decision-making

By Milić Kimi, Šćepan Sinanović, Tatjana Kilibarda, Saša Bubanj, Novica Bojanić, Tanja Prodović

Artificial intelligence (AI) offers transformative potential in healthcare management by enhancing predictive analytics, optimizing resource allocation, and supporting clinical decision-making. This study aims to examine the applications of AI in Serbian healthcare institutions, focusing on improving operational efficiency and patient outcomes. The research employed a cross-sectional survey conducted among 450 healthcare professionals from various levels of healthcare in Serbia (primary, secondary, and tertiary). Data were collected via an online survey during October and November 2024. Statistical analysis included methods such as ANOVA and regression analysis to evaluate the impact of AI on diagnostic accuracy, resource optimization, and patient satisfaction. The study found that AI implementation positively impacts diagnostic accuracy (88% of respondents), resource optimization (82%), and patient satisfaction (79%). Differences were observed between urban and rural areas, as well as between public and private healthcare institutions. Major challenges identified include the lack of training (75%), data privacy concerns (68%), and limited infrastructure (70%). The study confirms that AI holds significant potential to improve healthcare in Serbia, particularly in urban and private institutions with better infrastructure. However, addressing challenges related to training, data privacy, and infrastructure is crucial, especially in rural areas. A phased approach to AI implementation is recommended, focusing initially on diagnostics and resource management to maximize healthcare performance.