17 research outputs found

    Incidence and Risk of Lung Cancer in Tuberculosis Patients, and Vice Versa: A Literature Review of the Last Decade

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    Background. The incidence and risk of both lung cancer (LC) and tuberculosis (TB) are increasing rapidly. These two diseases frequently exist together and can influence the incidence and risk of each other. The aim of the current review was to summarize the incidence and risk of LC in TB patients, and vice versa, short out research gap, and contemplate future research perspectives. Methodology. PubMed and Scopus databases, and Google Scholar search engine were searched for epidemiological studies that investigated the incidence and risk of TB and LC, published since January 2011 to April 2022, and written in English. We used the searching keyword ā€œtuberculosisā€ combined with ā€œlung cancerā€ and associated medical subject heading (MeSH) to retrieve eligible research articles. We retrieved informationā€™s regarding the diagnosis of TB and LC, confounders, the associations of TB and LC, and incidence and risks of each other. Results. We found higher incidence rate and risks (1.64 to 6 times higher) of LC in TB patients in comparison to non-TB participants. However, the incidence rate and risks of TB in LC patients were comparatively low. Male patients were exhibited higher risks than female. The medical comorbidities, smoking habits, and age can also influence the associations and risks of LC in TB patients or vice versa. Conclusion. Our summarized studies might suggest that existing active TB may increase the incidence and risk of LC. However, large prospective cohort study is warranted to explore the real scenario worldwide

    The Presence of Aflatoxin M1 in Milk and Milk Products in Bangladesh

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    As milk provides both micro- and macronutrients, it is an important component in the diet. However, the presence of aflatoxin B1 (AFB1) in the feed of dairy cattle results in contamination of milk and dairy products with aflatoxin M1 (AFM1), a toxic metabolite of the carcinogenic mycotoxin. With the aim to determine AFM1 concentrations in milk and milk products consumed in Bangladesh, in total, 145 samples were collected in four divisional regions (Sylhet, Dhaka, Chittagong, and Rajshahi). The samples comprised these categories: raw milk (n = 105), pasteurized milk (n = 15), ultra-high temperature (UHT)-treated milk (n = 15), fermented milk products such as yogurt (n = 5), and milk powder (n = 5). AFM1 levels in these samples were determined through competitive enzyme-linked immunosorbent assay (ELISA). Overall, AFM1 was present in 78.6% of milk and milk products in the range of 5.0 to 198.7 ng/L. AFM1 was detected in 71.4% of raw milk (mean 41.1, range 5.0ā€“198.7 ng/L), and in all pasteurized milk (mean 106, range 17.2ā€“187.7 ng/L) and UHT milk (mean 73, range 12.2ā€“146.9 ng/L) samples. Lower AFM1 levels were found in yogurt (mean 16.9, range 8.3ā€“41.1 ng/L) and milk powder samples (mean 6.6, range 5.9ā€“7.0 ng/L). About one-third of the raw, pasteurized, and UHT milk samples exceeded the EU regulatory limit (50 ng/L) for AFM1 in milk, while AFM1 levels in yogurt and milk powder samples were well below this limit. Regarding regions, lower AFM1 contamination was observed in Chittagong (mean 6.6, max 10.6 ng/L), compared to Sylhet (mean 53.7, max 198.7 ng/L), Dhaka (mean 37.8, max 97.2 ng/L), and Rajshahi (mean 34.8, max 131.4 ng/L). Yet, no significant difference was observed in AFM1 levels between summer and winter season. In conclusion, the observed frequency and levels of aflatoxin contamination raise concern and must encourage further monitoring of AFM1 in milk and milk products in Bangladesh

    Ameliorating effects of Raphanus sativus leaves on sodium arsenite-induced perturbation of blood indices in Swiss albino mice

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    Objective: To evaluate the ameliorating effects of Raphanus sativus leaves (RSL) against sodium arsenite (Sa)-induced adverse effects through mice experiments. Methods: Swiss albino mice were divided into four equal groups: control, Sa, RSL, RSLĀ +Ā Sa. Sa (10Ā mg/kg body weight/day), and powder form of RSL (50Ā mg/kg body weight/day) were provided as food supplement orallty. Blood indices were measured using commercially available kits through colorimetric methods. Results: It was observed that lactate dehydrogenase, alkaline phosphatase, alanine aminotransferase, and aspartate aminotransferase activities were significantly (PĀ <Ā 0.05) higher in Sa-treated mice than those in the control group. RSL significantly reduced Sa-induced elevation of the activities of these enzymes in serum significantly (PĀ <Ā 0.05). Serum butyrylcholinesterase activity and high density lipoproteins cholesterol levels in Sa-treated mice were significantly (PĀ <Ā 0.05) lower than the control group, and the food supplementation of RSL could significantly (PĀ <Ā 0.05) prevent the reduction of Sa-mediated serum butyryl cholinesterase activity and high density lipoproteins cholesterol levels. RSL could also reduce the Sa-induced elevation of serum urea level significantly (PĀ <Ā 0.05). Conclusions: Results of this study suggest the protective or ameliorating effects of RSL on Sa-induced perturbation of blood indices are related to the hepatic, cardiovascular and kidney dysfunction. Therefore, RSL may be useful to reduce arsenic toxicity in human in the future

    In vivo analysis of toxic effect of hydrose used in food preparations in Bangladesh

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    Objective: To evaluate the toxic effect of hydrose used in the molasses preparation in Bangladesh. Methods: Molasses were collected from open markets in different parts of Bangladesh. The presence of hydrose in selected molasses was detected using commercial kit. To evaluate the toxic effect of hydrose, Swiss albino male mice were divided into four groups. Group I was used as control, while Groups II, III and IV received hydrose mixing food (5, 10 and 25 g/kg food), respectively, and these supplementations were continued to the end of the study (16 weeks). Blood was collected from thoracic arteries of the mice under ether anesthesia and then organs were taken. To determine the effect of hydrose on host, blood indices related to liver, heart and kidney dysfunctions were measured. Results: Creatinine and urea levels were significantly (P<0.05) increased in a dose dependent manner in hydrose treated mice, whereas calcium level was significantly decreased in hydrose exposed mice compared to control mice. Histological study of kidney showed the glomeruler inflammation, increased diameter of renal glomeruli and enlargement of proximal tubular lumen of kidneys of mice exposed to hydrose compared to that of control animals. Conclusions: The results of this study indicated that use of hydrose in molasses and other food preparations in Bangladesh may cause kidney impairment

    The relationship between serum uric acid and lipid profile in Bangladeshi adults

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    Abstract Background Although the link between elevated uric acid and metabolic syndrome has been reported in some studies; the relationship of serum uric acid (SUA) with lipid profile has not well studied or little is known so far. This study was conducted to assess the relationship between SUA and lipid profile among the general adults in Bangladesh. Methods In total, 280 blood samples were collected from general adult participants (male, nā€‰=ā€‰150 and female, nā€‰=ā€‰130) and analyzed for serum lipid profile (TC, TG, HDL and LDL) and SUA levels. The study subjects were divided by quartiles based on SUA levels (Q1: ā‰¤225ā€‰Ī¼mol/L, Q2: 226ā€“285ā€‰Ī¼mol/L, Q3: 286ā€“340ā€‰Ī¼mol/L and Q4: >ā€‰340ā€‰Ī¼mol/L). Linear regression modeling wasĀ used to evaluate the relationship between SUA and lipid levels. Results The prevalence of hyperuricemia was 9.2% in males and 10.4% in females. The mean level of SUA was significantly higher in male (317ā€‰Ā±ā€‰90ā€‰Ī¼mol/L) than in the female (255ā€‰Ā±ā€‰65ā€‰Ī¼mol/L) subjects (pā€‰<ā€‰0.001). An increasing trend for elevated lipid profile was observed in both gender with increasing levels of SUA in the quartiles (pā€‰<ā€‰0.05). In regression analysis, a significant positive correlation was found between SUA and TG, TC and LDL (pā€‰<ā€‰0.01) while an inverse correlation was observed between SUA and HDL (pā€‰<ā€‰0.01). After adjusting for potential confounders, lipid profile wasĀ linearly associated with SUA levels (pā€‰<ā€‰0.01 for trend). Conclusions Present study showed a significant positive relationship for SUA with TG, TC and LDL levels, and an inverse relationship for SUA with HDL. Early prevention of hyperuricemia and dyslipidemia may be helpful to reduce the incidence of associated cardiovascular diseases

    Prevalence of hyperuricemia and the relationship between serum uric acid and obesity: A study on Bangladeshi adults.

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    BACKGROUND AND OBJECTIVES:Recent studies have shown that hyperuricemia is commonly associated with dyslipidemia, cardiovascular diseases, hypertension and metabolic syndrome. Elevated serum uric acid has been demonstrated to be associated with obesity in the adult population in many countries; however, there is still a lack of evidence for the Bangladeshi population. The aims of this study were to evaluate the prevalence of hyperuricemia and determine the relationship between serum uric acid (SUA) and obesity among the Bangladeshi adults. METHODS:In this cross-sectional study, blood samples were collected from 260 adults (142 males and 118 females) and analyzed for SUA and lipid profile. All participants were categorized as underweight (n = 11), normal (n = 66), overweight (n = 120) and obese (n = 63) according to the body mass index (BMI) scale for the Asian population. Based on SUA concentration the participants were stratified into four quartiles (Q1: 345 Ī¼mol/L). RESULTS:The mean age and BMI of the participants were 32.5 Ā± 13.3 years and 24.9 Ā± 3.8 kg/m2, respectively. The average level of SUA was 294 Ā± 90 Ī¼mol/L with a significant difference between males and females (p < 0.001). Overall, the estimated prevalence of hyperuricemia was 9.3% with 8.4% in male and 10.2% in female participants. There were significant increases in the prevalence of obesity (17.4%, 22.2%, 28.6% and 31.8%, respectively, p < 0.01 for trend) across the SUA quartiles. A multiple logistic regression analysis revealed that SUA quartiles were independently associated with the presence of obesity (p < 0.01). CONCLUSION:Present study indicates a significant positive relationship between SUA and obesity among the Bangladeshi adults. Therefore, routine measurement of SUA is recommended in obese individuals to prevent hyperuricemia and its related complications

    Elevated concentrations of serum matrix metalloproteinase-2 and -9 and their associations with circulating markers of cardiovascular diseases in chronic arsenic-exposed individuals

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    Background: Cardiovascular diseases (CVDs) and cancers are the major causes of chronic arsenic exposure-related morbidity and mortality. Matrix metalloproteinase-2 (MMP-2) and āˆ’9 (MMP-9) are deeply involved in the pathogenesis of CVDs and cancers. This study has been designed to evaluate the interactions of arsenic exposure with serum MMP-2 and MMP-9 concentrations especially in relation to the circulating biomarkers of CVDs. Methods: A total of 373 human subjects, 265 from arsenic-endemic and 108 from non-endemic areas in Bangladesh were recruited for this study. Arsenic concentrations in the specimens were measured by inductively coupled plasma mass spectroscopy (ICP-MS) and serum MMPs were quantified by immunoassay kits. Results: Serum MMP-2 and MMP-9 concentrations in arsenic-endemic population were significantly (p &lt; 0.001) higher than those in non-endemic population. Both MMPs showed significant positive interactions with drinking water (rs = 0.208, p &lt; 0.001 for MMP-2; rs = 0.163, p &lt;0.01 for MMP-9), hair (rs= 0.163, p &lt; 0.01 for MMP-2; rs = 0.173, p &lt; 0.01 for MMP-9) and nail (rs= 0.160, p &lt; 0.01 for MMP-2; rs = 0.182, p &lt; 0.001 for MMP-9) arsenic of the study subjects. MMP-2 concentrations were 1.02, 1.03 and 1.05 times, and MMP-9 concentrations were 1.03, 1.06 and 1.07 times greater for 1 unit increase in log-transformed water, hair and nail arsenic concentrations, respectively, after adjusting for covariates (age, sex, BMI, smoking habit and hypertension). Furthermore, both MMPs were increased dose-dependently when the study subjects were split into three (ā‰¤10, 10.1-50 and &gt; 50 Ī¼g/L) groups based on the regulatory upper limit of water arsenic concentration set by WHO and Bangladesh Government. MMPs were also found to be significantly (p &lt; 0.05) associated with each other. Finally, the concentrations of both MMPs were correlated with several circulating markers related to CVDs. Conclusions: This study showed the significant positive associations and doseā€“response relationships of arsenic exposure with serum MMP-2 and MMP-9 concentrations. This study also showed the interactions of MMP-2 and MMP-9 concentrations with the circulating markers of CVDs suggesting the MMP-2 and MMP-9 -mediated mechanism of arsenic-induced CVDs

    Association between arsenic exposure and soluble thrombomodulin: A cross sectional study in Bangladesh

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    <div><p>Chronic exposure to arsenic is associated with increased morbidity and mortality from cardiovascular disease (CVD); however, plausible biomarker for early prediction and the underlying mechanism of arsenic-related CVD have not yet been clearly understood. Endothelial dysfunction plays a central role in the development of CVD. We hypothesized that endothelial damage or dysfunction is an important aspect and may be an early event of arsenic-related CVD. Soluble thrombomodulin (sTM) in serum is thought to be a specific and stable marker for endothelial damage or dysfunction. This study was designed to evaluate the association between chronic exposure to arsenic and sTM among human subjects in arsenic-endemic and non-endemic rural areas in Bangladesh. A total of 321 study subjects (217 from arsenic-endemic areas and 104 from a non-endemic area) were recruited. Subjectsā€™ arsenic exposure levels (i.e., drinking water, hair and nail arsenic concentrations) were measured by Inductively Coupled Plasma Mass Spectroscopy. The subjectsā€™ serum sTM levels were quantified by immunoassay kit. The average sTM levels of the subjects in arsenic-endemic and non-endemic areas were 4.58 Ā± 2.20 and 2.84 Ā± 1.29 (ng mL<sup>-1</sup>) respectively, and the difference was significant (<i>p</i><0.001). Arsenic exposure levels showed a significant (water arsenic: <i>r</i><sub><i>s</i></sub> = 0.339, <i>p</i><0.001, hair arsenic: <i>r</i><sub><i>s</i></sub> = 0.352, <i>p</i><0.001 and nail arsenic: <i>r</i><sub><i>s</i></sub> = 0.308, <i>p</i><0.001) positive associations with sTM levels. Soluble TM levels were higher in the higher exposure gradients if we stratified the subjects into tertile groups (low, medium and high) based on the arsenic concentrations of the subjectsā€™ drinking water, hair and nails. Finally, increased levels of sTM were negatively correlated with high density lipoprotein cholesterol (HDL-C), and positively correlated with intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1). Results of this study show that chronic exposure to arsenic has mild to moderate association with sTM levels.</p></div

    Dose-response relationship between arsenic exposure and sTM levels.

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    <p>Data were presented as mean Ā± SE. Dose-response relationship between arsenic exposure and sTM levels in one-way ANOVA was examined by F-test, followed by Bonferroni multiple comparison test between each group of exposure level. Arsenic concentrations in water: low (0.03ā€“5.22 Ī¼g L<sup>-1</sup>; n = 101), medium (5.30ā€“127.00 Ī¼g L<sup>-1</sup>; n = 110), and high (129.00ā€“546.00 Ī¼g L<sup>-1</sup>; n = 110). Arsenic concentration in hair: low (0.02ā€“0.62 Ī¼g g<sup>-1</sup>; n = 106), medium (0.64ā€“3.36 Ī¼g g<sup>-1</sup>; n = 106), and high (3.40ā€“37.24 Ī¼g g<sup>-1</sup>; n = 109). Arsenic concentrations in nail: low (0.15ā€“2.12 Ī¼g g<sup>-1</sup>; n = 104), medium (2.14ā€“7.45 Ī¼g g<sup>-1</sup>; n = 109), and high (7.45ā€“37.42 Ī¼g g<sup>-1</sup>; n = 108). <sup>a</sup> and <sup>b,</sup> Significant from low and medium groups, respectively. ***<i>p</i> < 0.001; **<i>p</i> < 0.01; *<i>p</i> < 0.05.</p
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