Objectives: Obsessive-compulsive disorder (OCD) is a prevalent mental health condition that impacts daily life. It is thought to be associated with genetic, biological, and structural brain changes, serotonergic abnormalities, altered neuromodulation, and environmental factors.Limited observational studies have examined cytokines in Bangladeshi patients with OCD. This study aimed to assess the levels of eotaxin-1 and interleukin (IL)-34 in individuals with this disorder. Methods: This case-control observational study included 58 patients with OCD and 30 healthy controls (HCs) matched for age, sex, and body mass index. The severity of OCD was assessed using the Yale-Brown obsessive-compulsive scale (Y-BOCS). Psychiatrists evaluated participants according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Serum levels of eotaxin-1 and IL-34 were measured using enzyme-linked immunosorbent assay kits. Results: Patients with OCD exhibited significantly higher serum eotaxin-1 levels (121.13 ± 7.84pg/mL) than HCs (85.52 ± 9.42 pg/mL). Conversely, IL-34 levels were considerably lower in patients than in HCs (119.02 ± 14.53 pg/mL vs. 179.96 ± 27.88 pg/mL). The Cohen d values for eotaxin-1 and IL-34 were 0.55 and −0.48, respectively. Among patients with OCD, a significantpositive correlation was found between serum eotaxin-1 level and Y-BOCS score, along with a negative correlation between serum eotaxin-1 and IL-34 levels. Conclusion The findings suggest that altered eotaxin-1 and IL-34 levels may be associated withOCD. These chemokines and cytokines could serve as primary tools for assessing the risk of OCD, warranting further clinical investigation. This could potentially support more extensive research and the development of diagnostic and therapeutic strategies targeting these pathways.

Objectives: Obsessive-compulsive disorder (OCD) is a prevalent mental health condition that impacts daily life. It is thought to be associated with genetic, biological, and structural brain changes, serotonergic abnormalities, altered neuromodulation, and environmental factors.Limited observational studies have examined cytokines in Bangladeshi patients with OCD. This study aimed to assess the levels of eotaxin-1 and interleukin (IL)-34 in individuals with this disorder. Methods: This case-control observational study included 58 patients with OCD and 30 healthy controls (HCs) matched for age, sex, and body mass index. The severity of OCD was assessed using the Yale-Brown obsessive-compulsive scale (Y-BOCS). Psychiatrists evaluated participants according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Serum levels of eotaxin-1 and IL-34 were measured using enzyme-linked immunosorbent assay kits. Results: Patients with OCD exhibited significantly higher serum eotaxin-1 levels (121.13 ± 7.84pg/mL) than HCs (85.52 ± 9.42 pg/mL). Conversely, IL-34 levels were considerably lower in patients than in HCs (119.02 ± 14.53 pg/mL vs. 179.96 ± 27.88 pg/mL). The Cohen d values for eotaxin-1 and IL-34 were 0.55 and −0.48, respectively. Among patients with OCD, a significantpositive correlation was found between serum eotaxin-1 level and Y-BOCS score, along with a negative correlation between serum eotaxin-1 and IL-34 levels. Conclusion The findings suggest that altered eotaxin-1 and IL-34 levels may be associated withOCD. These chemokines and cytokines could serve as primary tools for assessing the risk of OCD, warranting further clinical investigation. This could potentially support more extensive research and the development of diagnostic and therapeutic strategies targeting these pathways.

Objectives: Obsessive-compulsive disorder (OCD) is a prevalent mental health condition that impacts daily life. It is thought to be associated with genetic, biological, and structural brain changes, serotonergic abnormalities, altered neuromodulation, and environmental factors.Limited observational studies have examined cytokines in Bangladeshi patients with OCD. This study aimed to assess the levels of eotaxin-1 and interleukin (IL)-34 in individuals with this disorder. Methods: This case-control observational study included 58 patients with OCD and 30 healthy controls (HCs) matched for age, sex, and body mass index. The severity of OCD was assessed using the Yale-Brown obsessive-compulsive scale (Y-BOCS). Psychiatrists evaluated participants according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Serum levels of eotaxin-1 and IL-34 were measured using enzyme-linked immunosorbent assay kits. Results: Patients with OCD exhibited significantly higher serum eotaxin-1 levels (121.13 ± 7.84pg/mL) than HCs (85.52 ± 9.42 pg/mL). Conversely, IL-34 levels were considerably lower in patients than in HCs (119.02 ± 14.53 pg/mL vs. 179.96 ± 27.88 pg/mL). The Cohen d values for eotaxin-1 and IL-34 were 0.55 and −0.48, respectively. Among patients with OCD, a significantpositive correlation was found between serum eotaxin-1 level and Y-BOCS score, along with a negative correlation between serum eotaxin-1 and IL-34 levels. Conclusion The findings suggest that altered eotaxin-1 and IL-34 levels may be associated withOCD. These chemokines and cytokines could serve as primary tools for assessing the risk of OCD, warranting further clinical investigation. This could potentially support more extensive research and the development of diagnostic and therapeutic strategies targeting these pathways.

Objectives: Obsessive-compulsive disorder (OCD) is a prevalent mental health condition that impacts daily life. It is thought to be associated with genetic, biological, and structural brain changes, serotonergic abnormalities, altered neuromodulation, and environmental factors.Limited observational studies have examined cytokines in Bangladeshi patients with OCD. This study aimed to assess the levels of eotaxin-1 and interleukin (IL)-34 in individuals with this disorder. Methods: This case-control observational study included 58 patients with OCD and 30 healthy controls (HCs) matched for age, sex, and body mass index. The severity of OCD was assessed using the Yale-Brown obsessive-compulsive scale (Y-BOCS). Psychiatrists evaluated participants according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Serum levels of eotaxin-1 and IL-34 were measured using enzyme-linked immunosorbent assay kits. Results: Patients with OCD exhibited significantly higher serum eotaxin-1 levels (121.13 ± 7.84pg/mL) than HCs (85.52 ± 9.42 pg/mL). Conversely, IL-34 levels were considerably lower in patients than in HCs (119.02 ± 14.53 pg/mL vs. 179.96 ± 27.88 pg/mL). The Cohen d values for eotaxin-1 and IL-34 were 0.55 and −0.48, respectively. Among patients with OCD, a significantpositive correlation was found between serum eotaxin-1 level and Y-BOCS score, along with a negative correlation between serum eotaxin-1 and IL-34 levels. Conclusion The findings suggest that altered eotaxin-1 and IL-34 levels may be associated withOCD. These chemokines and cytokines could serve as primary tools for assessing the risk of OCD, warranting further clinical investigation. This could potentially support more extensive research and the development of diagnostic and therapeutic strategies targeting these pathways.

Objectives: Obsessive-compulsive disorder (OCD) is a prevalent mental health condition that impacts daily life. It is thought to be associated with genetic, biological, and structural brain changes, serotonergic abnormalities, altered neuromodulation, and environmental factors.Limited observational studies have examined cytokines in Bangladeshi patients with OCD. This study aimed to assess the levels of eotaxin-1 and interleukin (IL)-34 in individuals with this disorder. Methods: This case-control observational study included 58 patients with OCD and 30 healthy controls (HCs) matched for age, sex, and body mass index. The severity of OCD was assessed using the Yale-Brown obsessive-compulsive scale (Y-BOCS). Psychiatrists evaluated participants according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Serum levels of eotaxin-1 and IL-34 were measured using enzyme-linked immunosorbent assay kits. Results: Patients with OCD exhibited significantly higher serum eotaxin-1 levels (121.13 ± 7.84pg/mL) than HCs (85.52 ± 9.42 pg/mL). Conversely, IL-34 levels were considerably lower in patients than in HCs (119.02 ± 14.53 pg/mL vs. 179.96 ± 27.88 pg/mL). The Cohen d values for eotaxin-1 and IL-34 were 0.55 and −0.48, respectively. Among patients with OCD, a significantpositive correlation was found between serum eotaxin-1 level and Y-BOCS score, along with a negative correlation between serum eotaxin-1 and IL-34 levels. Conclusion The findings suggest that altered eotaxin-1 and IL-34 levels may be associated withOCD. These chemokines and cytokines could serve as primary tools for assessing the risk of OCD, warranting further clinical investigation. This could potentially support more extensive research and the development of diagnostic and therapeutic strategies targeting these pathways.

Objective: This study aims to isolate and identify aerobic and anaerobic bacterial species in the feces of wild KWD. Methods: Fecal samples were collected from 55 wild KWD of varying age and sex.Aerobic bacteria were cultured at 37°C for 24–48 h under standard conditions, whereas anaerobic bacteria were cultured at 37°C for 48–72 h in an anaerobic environment. Bacterial identification was conducted using DNA extraction and polymerase chain reaction amplification targeting the 16S rRNA gene. Results: The predominant aerobic bacteria identified belonged to the Firmicutes (58.18%) and Proteobacteria (41.82%) phyla, with Escherichia coli (31.82%) and Bacillus cereus (31.82%) being the most common species. Among anaerobic bacteria, most belonged to the Firmicutes (71.03%), Proteobacteria (27.10%), and Fusobacteriota (1.87%) phyla, with Paraclostridium bifermentans (28.97%) and E. coli (22.43%) being the most prevalent species.Other frequently identified anaerobic species were Fusobacterium varium, Lactococcus garvieae, Terrisporobacter glycolicus, Enterococcus faecalis, and Clostridium sporogenes. Conclusions and Relevance: Our findings indicate a diverse microbial community in the feces of water deer, offering valuable insights into their gut microbiota and its potential implications for health and ecology.

Objective: This study aims to isolate and identify aerobic and anaerobic bacterial species in the feces of wild KWD. Methods: Fecal samples were collected from 55 wild KWD of varying age and sex.Aerobic bacteria were cultured at 37°C for 24–48 h under standard conditions, whereas anaerobic bacteria were cultured at 37°C for 48–72 h in an anaerobic environment. Bacterial identification was conducted using DNA extraction and polymerase chain reaction amplification targeting the 16S rRNA gene. Results: The predominant aerobic bacteria identified belonged to the Firmicutes (58.18%) and Proteobacteria (41.82%) phyla, with Escherichia coli (31.82%) and Bacillus cereus (31.82%) being the most common species. Among anaerobic bacteria, most belonged to the Firmicutes (71.03%), Proteobacteria (27.10%), and Fusobacteriota (1.87%) phyla, with Paraclostridium bifermentans (28.97%) and E. coli (22.43%) being the most prevalent species.Other frequently identified anaerobic species were Fusobacterium varium, Lactococcus garvieae, Terrisporobacter glycolicus, Enterococcus faecalis, and Clostridium sporogenes. Conclusions and Relevance: Our findings indicate a diverse microbial community in the feces of water deer, offering valuable insights into their gut microbiota and its potential implications for health and ecology.

Objective: This study aims to isolate and identify aerobic and anaerobic bacterial species in the feces of wild KWD. Methods: Fecal samples were collected from 55 wild KWD of varying age and sex.Aerobic bacteria were cultured at 37°C for 24–48 h under standard conditions, whereas anaerobic bacteria were cultured at 37°C for 48–72 h in an anaerobic environment. Bacterial identification was conducted using DNA extraction and polymerase chain reaction amplification targeting the 16S rRNA gene. Results: The predominant aerobic bacteria identified belonged to the Firmicutes (58.18%) and Proteobacteria (41.82%) phyla, with Escherichia coli (31.82%) and Bacillus cereus (31.82%) being the most common species. Among anaerobic bacteria, most belonged to the Firmicutes (71.03%), Proteobacteria (27.10%), and Fusobacteriota (1.87%) phyla, with Paraclostridium bifermentans (28.97%) and E. coli (22.43%) being the most prevalent species.Other frequently identified anaerobic species were Fusobacterium varium, Lactococcus garvieae, Terrisporobacter glycolicus, Enterococcus faecalis, and Clostridium sporogenes. Conclusions and Relevance: Our findings indicate a diverse microbial community in the feces of water deer, offering valuable insights into their gut microbiota and its potential implications for health and ecology.

Objective: This study aims to isolate and identify aerobic and anaerobic bacterial species in the feces of wild KWD. Methods: Fecal samples were collected from 55 wild KWD of varying age and sex.Aerobic bacteria were cultured at 37°C for 24–48 h under standard conditions, whereas anaerobic bacteria were cultured at 37°C for 48–72 h in an anaerobic environment. Bacterial identification was conducted using DNA extraction and polymerase chain reaction amplification targeting the 16S rRNA gene. Results: The predominant aerobic bacteria identified belonged to the Firmicutes (58.18%) and Proteobacteria (41.82%) phyla, with Escherichia coli (31.82%) and Bacillus cereus (31.82%) being the most common species. Among anaerobic bacteria, most belonged to the Firmicutes (71.03%), Proteobacteria (27.10%), and Fusobacteriota (1.87%) phyla, with Paraclostridium bifermentans (28.97%) and E. coli (22.43%) being the most prevalent species.Other frequently identified anaerobic species were Fusobacterium varium, Lactococcus garvieae, Terrisporobacter glycolicus, Enterococcus faecalis, and Clostridium sporogenes. Conclusions and Relevance: Our findings indicate a diverse microbial community in the feces of water deer, offering valuable insights into their gut microbiota and its potential implications for health and ecology.

Objective To reveal the presence of methicillin resistant Staphylococcus aureus (S. aureus) (MRSA) in poultry samples and to determine the antibiogram pattern against five antibiotics. Methods Samples from different poultry farm of Chittagong city, Bangladesh were examined for S. aureus by different biochemical tests and confirmed as MRSA by identifying the presence of mecA gene using PCR. Antibiotic resistance pattern in S. aureus was determined by antibiotic disk diffusion method. Results In this study, a total of 60 samples (30 from nasal swabs and 30 from cloacal swabs) were used, of which 54 were confirmed as S. aureus by different biochemical tests. Among these, 12 were confirmed as MRSA by detecting mecA gene using PCR. During antibiogram study, both nasal and cloacal samples showed the highest resistance against penicillin-G and the lowest resistance was observed against neomycin. Conclusions Based on the present study, it can be said that different antibiotics are used extensively in poultry that leads to MRSA and is alarming for human health.