Optical characteristics of brown carbon in the atmospheric particulate matter of Dhaka, Bangladesh: Analysis of solvent effects and chromophore identification.

The prevalence of brown carbon (BrC) in the atmosphere has experienced a notable upsurge owing to human activities of anthropogenic origin. This study aims to examine the optical characteristics of BrC in both deionized (DI) water and organic solvents (OS), alongside the identification of BrC chromophores within the ambient atmosphere of Dhaka, Bangladesh. Particulate matter (PM) samples were collected on quartz filters using a low-volume sampler from December 2021 to May 2022 at Mukarram Hussain Khundker Bhaban, University of Dhaka. The concentration of BrC was measured using soot analyzer, optical properties of BrC were determined using UV-Vis spectrometer, and BrC chromophores were identified with GC-MS. Average concentration of BrC was 19.13 ± 5.71 µgm-3. The average of absorption coefficient (babs_365), mass absorption efficiency (MAE), absorption angstrom exponent (AAE), and refractive index (kabs_365) of BrC_DI have been observed to be 38.75 ± 21.90 Mm-1, 2.16 ± 1.42 m2 g-1, 1.51 ± 0.08, 0.06 ± 0.04, respectively. The absorption coefficient and MAE of BrC_OS are 1.3 and 1.36 times, respectively higher than that of BrC_DI. Thirty chromophores of BrC have been identified, predominantly consisting of oxygenated compounds. Derivatives of Bisphenol A (C27H44O2Si2) were detected in all samples of oxygenated compounds, primarily originating from the combustion of plastic and the incineration of e-waste. Additionally, compounds containing nitrogen and sulfur, such as C14H26N2O, C31H55N, and C31H49NO3S, were identified, largely attributed to biomass combustion and traffic emissions. These chromophores play a significant role in the absorption of solar radiation, thus influencing atmospheric photochemistry.

Unveiling human DNase II: Molecular characterization, gene insights, and functional implications: Human DNase II: Molecular insights & functional implications.

This review comprehensively explores the molecular characterization, genetic insights, and functional implications of human DNase II, an enzyme crucial for DNA hydrolysis under acidic conditions. We discuss its purification, identification, and characterization, emphasizing the importance of highly purified samples for accurate analyses as well as for understanding the biochemical properties. The discovery and analysis of DNase II's cDNA and gene have provided crucial insights into its genetic regulation and chromosomal location. Genetic polymorphism in DNase II activity levels, characterized by distinct alleles, provides valuable information on the diversity of enzyme function among individuals. Tissue distribution studies reveal its widespread presence across human tissues, hinting at potential endocrine connections. Clinical implications of DNase II variants, including therapeutic strategies targeting the JAK1 pathway, offering insights into disease mechanisms and potential treatments. Overall, this review serves as a valuable resource for advancing our knowledge of DNase II and its impact on human health and disease.

Biocontrol agents and their potential use as nano biopesticides to control the tea red spider mite (Oligonychus coffeae): A comprehensive review.

Tea red spider mite (TRSM), Oligonychus coffeae Nietner, is one of the major pests that cause considerable crop losses in all tea-growing countries. TRSM management often involves the use of multiple chemical pesticides that are linked to human health risks and environmental pollution. Considering these critical issues, employing biocontrol agents is a potential green approach that may replace synthetic pesticides. This review study aims to discuss the efficacy of plant extracts, entomopathogenic microorganisms, and predators in controlling TRSM. This study includes 44 botanical extracts, 14 microbial species, and 8 potential predators used to control TRSM, along with their respective modes of action. Most of the botanical extracts have ovicidal, adulticidal, and larvicidal activity, ranging from 80 to 100 %, attributed to bioactive compounds such as phenols, alcohols, alkaloids, tannins, and other secondary metabolites. Among microbial pesticides, Purpureocillium lilacinum, Metarhizium robertsii, Aspergillus niger, Pseudomonas fluorescens, and Pseudomonas putida are highly effective against TRSM without causing any harm to the nontarget beneficial insects. Besides, some predators, including green lacewings, ladybirds, and phytoseiid mites have the potential to control TRSM. Employing these biocontrol agents simultaneously in tea plantations could be more effective in preventing TRSM. Nevertheless, their high biodegradability rate, uneven distribution, and uncontrolled release pose challenges for large-scale field applications. This study also explores how nanotechnology can enhance sustainability by addressing the limitations of biopesticides in field conditions. This review study could contribute to the search for potential biocontrol agents and the development of commercial nano biopesticides to control TRSM.

Educating Japanese elementary students on proper smartphone use and social media risks: Reflecting on post-COVID-19 crime trends.

Smartphone ownership and social media use are increasing worldwide, and children are not exempt from these trends. Past studies on this issue have mainly focused on educational campaigns to prevent the prolonged use of smartphones, social media, and video games. Recently, harm to children from engagement with bad actors through social media has become a major problem in Japan, and preventive measures need to be based on close analysis of the facts. The present study was performed descriptive epidemiology and comparison between two groups. This study investigated the number of children in Japan who fell victim to criminal offense through their use of social media, categorized by level of schooling, type of offense, and means of accessing social media over the 8-year period from 2016 to 2023. The 8-year period was divided into 2016-2019 (4 years prior to the COVID-19 pandemic) and 2020-2023 (4 years during the pandemic). Statistical analysis was conducted to compare these periods. The number of elementary school students victimized by criminal offense through social media in Japan increased significantly in 4 years during the pandemic. Furthermore, in 4 years during the pandemic, there was also a notable rise in felony-related incidents, and an increase in the number of victims accessing social media via smartphones. Schools, parents/guardians, and personnel and organizations in relevant fields need to collaborate in addressing and educating students about the proper use of smartphones and the risks of social media starting at the elementary school age.

Evaluation of ARID1A as a Potential Biomarker for Predicting Response to Immune Checkpoint Inhibitors in Patients with Endometrial Cancer.

BACKGROUND: AT-rich interaction domain 1A (ARID1A) has been proposed as a new biomarker for predicting response to immune checkpoint inhibitors (ICIs). The predictive value of ARID1A for predicting ICI effectiveness has not been reported for endometrial cancer. Therefore, we investigated whether ARID1A negativity predicts ICI effectiveness for endometrial cancer treatment. METHODS: We evaluated ARID1A expression, tumor-infiltrating lymphocytes (CD8+), and immune checkpoint molecules (PD-L1/PD-1) by immunostaining endometrial samples from patients with endometrial cancer. Samples in which any of the four mismatch repair proteins (MLH1, MSH2, MSH6, and PMS2) were determined to be negative via immunostaining were excluded. In the ARID1A-negative group, microsatellite instability (MSI) status was confirmed via MSI analysis. RESULTS: Of the 102 samples investigated, 25 (24.5%) were ARID1A-negative. CD8 and PD-1 expression did not differ significantly between the ARID1A-negative group and the ARID1A-positive group; however, the ARID1A-negative group showed significantly lower PD-L1 expression. Only three samples (14.2%) in the ARID1A-negative group showed high MSI. Sanger sequencing detected three cases of pathological mutation in the MSH2-binding regions. We also established an ARID1A-knockout human ovarian endometriotic epithelial cell line (HMOsisEC7 ARID1A KO), which remained microsatellite-stable after passage. CONCLUSION: ARID1A negativity is not suitable as a biomarker for ICI effectiveness in treating endometrial cancer.

Association between KRAS and PIK3CA Mutations and Progesterone Resistance in Endometriotic Epithelial Cell Line.

Although endometriosis is a benign disease, it is associated with cancer-related gene mutations, such as KRAS or PIK3CA. Endometriosis is associated with elevated levels of inflammatory factors that cause severe pain. In a previous study, we demonstrated that KRAS or PIK3CA mutations are associated with the activation of cell proliferation, migration, and invasion in a patient-derived immortalized endometriotic cell line, HMOsisEC10. In this study, we investigated the effects of these mutations on progesterone resistance. Since the HMOsisEC10 had suppressed progesterone receptor (PR) expression, we transduced PR-B to HMOsisEc10 cell lines including KRAS mutant and PIK3CA mutant cell lines. We conducted a migration assay, invasion assay, and MTT assay using dienogest and medroxyprogestrone acetate. All cell lines showed progesterone sensitivity with or without mutations. Regarding inflammatory factors, real-time quantitative RT-PCR revealed that the KRAS mutation cell line exhibited no suppression of Cox-2 and mPGES-1 on progesterone treatment, whereas IL-6, MCP-1, VEGF, and CYP19A1 were significantly suppressed by progesterone in both mutated cell lines. Our results suggest that KRAS mutation and PIK3CA mutation in endometriotic cells may not be associated with progesterone resistance in terms of aggressiveness. However, KRAS mutations may be associated with progesterone resistance in the context of pain.

Association of a single nucleotide polymorphism (rs27434) in the ERAP1 gene with plural tissue weight.

Our study was designed to examine the correlation between single nucleotide polymorphism (SNP) in the endoplasmic reticulum aminopeptidase 1 (ERAP1) gene, specifically focusing on rs27434, and plural tissue weight. We conducted this investigation using autopsy samples from the Japanese population. Blood samples were collected from 178 Japanese subjects who had undergone autopsies in Shimane Prefecture. Genomic DNA was subsequently extracted from these samples. SNP (rs27434, G＞A substitution) was analyzed by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism (RFLP) analysis. In the present study, rs27434 exhibited a statistically significant association with brain weight (g) in both female and male individuals. Among males, rs27434 displayed significant relationships with liver weight (g), and body surface area (m2). In females, rs27434 was significantly related to the length of the appendix. Across both genders, individuals with GA and AA genotypes tended to exhibit higher levels in these respective measurements compared to those with the GG genotype. These results suggest that genetic variant of ERAP1 gene may influence the weight of the organs. To the best of our knowledge, this is the first study investigating the interaction between the association of rs27434 in the ERAP1 gene and data routinely measured at autopsy, such as tissue weight. However, conducting further investigations with larger population samples could provide more comprehensive insights to clarify this issue.

Enhancing maize's nitrogen-fixing potential through ZmSBT3, a gene suppressing mucilage secretion.

Maize (Zea mays) requires substantial amounts of nitrogen, posing a challenge for its cultivation. Recent work discovered that some ancient Mexican maize landraces harbored diazotrophic bacteria in mucilage secreted by their aerial roots. To see if this trait is retained in modern maize, we conducted a field study of aerial root mucilage (ARM) in 258 inbred lines. We observed that ARM secretion is common in modern maize, but the amount significantly varies, and only a few lines have retained the nitrogen-fixing traits found in ancient landraces. The mucilage of the high-ARM inbred line HN5-724 had high nitrogen-fixing enzyme activity and abundant diazotrophic bacteria. Our genome-wide association study identified 17 candidate genes associated with ARM across three environments. Knockouts of one candidate gene, the subtilase family gene ZmSBT3, confirmed that it negatively regulates ARM secretion. Notably, the ZmSBT3 knockout lines had increased biomass and total nitrogen accumulation under nitrogen-free culture conditions. High ARM was associated with three ZmSBT3 haplotypes that were gradually lost during maize domestication, being retained in only a few modern inbred lines such as HN5-724. In summary, our results identify ZmSBT3 as a potential tool for enhancing ARM, and thus nitrogen fixation, in maize.

Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models.

This research paper investigates the efficacy of various machine learning models, including deep learning and hybrid models, for text classification in the English and Bangla languages. The study focuses on sentiment analysis of comments from a popular Bengali e-commerce site, "DARAZ," which comprises both Bangla and translated English reviews. The primary objective of this study is to conduct a comparative analysis of various models, evaluating their efficacy in the domain of sentiment analysis. The research methodology includes implementing seven machine learning models and deep learning models, such as Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Convolutional 1D (Conv1D), and a combined Conv1D-LSTM. Preprocessing techniques are applied to a modified text set to enhance model accuracy. The major conclusion of the study is that Support Vector Machine (SVM) models exhibit superior performance compared to other models, achieving an accuracy of 82.56% for English text sentiment analysis and 86.43% for Bangla text sentiment analysis using the porter stemming algorithm. Additionally, the Bi-LSTM Based Model demonstrates the best performance among the deep learning models, achieving an accuracy of 78.10% for English text and 83.72% for Bangla text using porter stemming. This study signifies significant progress in natural language processing research, particularly for Bangla, by enhancing improved text classification models and methodologies. The results of this research make a significant contribution to the field of sentiment analysis and offer valuable insights for future research and practical applications.

COVID-19 vaccine barriers and perception among rural adults: a qualitative study in Bangladesh.

OBJECTIVE: The COVID-19 pandemic continues to pose challenges for global public healthcare, even with the authorisation of several vaccines worldwide. To better understand rural communities' knowledge, attitudes, perceptions and barriers towards these vaccines, we conducted a qualitative cross-sectional study with adults in rural Bangladesh. SETTING: This cross-sectional study was conducted in the rural areas of Sylhet and Natore in Bangladesh from August 2021 to February 2022. PARTICIPANTS: Our study involved 15 in-depth interviews with rural adults and 2 key informant interviews with health workers. RESULTS: We analysed data thematically, resulting in four main themes: (1) knowledge and perception aspects, (2) myths and misconceptions, (3) practice and attitude and (4) barriers and challenges of COVID-19 vaccines. CONCLUSIONS: The findings indicate that rural populations lack sufficient knowledge about COVID-19 vaccines but have a more favourable attitude towards them. Misconceptions, beliefs and personal experiences were found to be the main reasons for vaccine avoidance. To address these challenges and dispel the spread of misinformation, health education programmes play a pivotal role in improving vaccine management. Policy-makers should initiate these programmes without delay to create a well-informed and enlightened community, given that the COVID-19 is still spreading.

A call to action: Unpacking the challenges to implementing social sustainability initiatives in a developing country city.

With cities sprawling and populations booming in developing regions, ensuring social sustainability in urban areas has become more urgent. This study investigates the challenges of implementing social sustainability initiatives for cities in developing countries, focusing on Dhaka as a representative city. A mixed-method approach involving structured questionnaire surveys and key informant interviews was used to collect quantitative and qualitative data. The study identified eighteen challenges to implementing social sustainability initiatives in Dhaka city, including a lack of poor urban governance, an inefficient city management system, a lack of political stability, a long delay in the planning approval process, etc. Additionally, experts identified additional challenges that require attention. The study offers empirical evidence to assist government officials, policymakers, and urban planners overcome these challenges and implement social sustainability effectively. To address the identified challenges, the study recommends revisiting the Structure Plan, Urban Area Plan, Detailed Area Plan, and Urban Sector Policy-2011. It highlights the crucial role of community social workers in mitigating specific issues in socially sustainable urban development. Eventually, the study will contribute to the implementation of SDG-11 in the 2030 Agenda for Sustainable Development by bridging the gap between urbanization and socially sustainable cities.

CK-7 negative primary lung adenocarcinoma.

Cytokeratin (CK) 7 is normally expressed in the vast majority of lung adenocarcinoma (ADC). However, on rare occasions, as reported in this paper, CK7 negativity can challenge the diagnosis of pulmonary ADC. Hence, the need to use a combination of 'immunomarkers' such as thyroid transcription factor 1, Napsin A, p40, p63 and CK20.

The Case of an Endometrial Cancer Patient with Breast Cancer Who Has Achieved Long-Term Survival via Letrozole Monotherapy.

Herein, we present the successful treatment of a 92-year-old woman who experienced recurrent EC in the vaginal stump and para-aortic lymph nodes. The patient was first treated with paclitaxel and carboplatin for recurrent EC, which was abandoned after two cycles of chemotherapy because of G4 hematologic toxicity. Later, the patient was treated with letrozole for early-stage breast cancer, which was diagnosed simultaneously with EC recurrence. After four months of hormonal therapy, a partial response was observed not only in the lesions in the breast, but also those in the vaginal stump and para-aortic lymph nodes. She had no recurrence of breast cancer or EC, even after six years of treatment with letrozole-based hormonal therapy. Subsequent whole-exome sequencing using the genomic DNA isolated from the surgical specimen in the uterine tumor identified several genetic variants, including actionable mutations, such as CTNNB1 (p.S37F), PIK3R1 (p.M582Is_10), and TP53 c.375 + 5G>T. These data suggest that the efficacy of letrozole is mediated by blocking the mammalian target of the rapamycin pathway. The findings of this study, substantiated via genetic analysis, suggest the possibility of long-term disease-free survival, even in elderly patients with recurrent EC, which was thought to be difficult to cure completely.

Histological and Genetic Diversity in Ovarian Mucinous Carcinomas: A Pilot Study.

Tumor heterogeneity remains an ongoing challenge in the field of cancer therapy. Intratumor heterogeneity significantly complicates the diagnosis of cancer and presents challenging clinical problems due to resistance to drug therapy. This study aimed to elucidate the genetic changes histologically (mucinous cystadenoma (MCA), mucinous borderline tumor (MBT), and mucinous ovarian carcinoma (MOC)) in a portion of mucinous ovarian tumors within the same sample. Seven tumor samples obtained from different patients were used to evaluate the genetic mutations in each component. Intratumor genetic heterogeneity was observed in all patients; among them, BRAF (V600E) and p53 (T118I, P142S, T150I, and T170M) point mutations were observed in the MBT component, while KRAS (G12D and G13D) and PIK3CA (E545K) mutations were found in the MOC component. The current findings suggest that diverse genetic alterations occur in mucinous tumors, according to tumor histology. Tumor heterogeneity and genetic diversity in mucinous ovarian tumors might be the cause of treatment failure. Knowledge of intertumor heterogeneity may lead to an increased understanding of the tumor response to treatment.

Promising Therapeutic Impact of Immune Checkpoint Inhibitors in Type II Endometrial Cancer Patients with Deficient Mismatch Repair Status.

Type II endometrial cancer (EC) is responsible for most endometrial cancer-related deaths due to its aggressive nature, late-stage detection, and high tolerance to standard therapies. Thus, novel treatment strategies for type II EC are imperative. For patients with mismatch repair-deficient (dMMR) tumors, immunotherapy with immune checkpoint inhibitors represents a promising therapeutic strategy. However, the prevalence of dMMR tumors in type II EC patients remains unclear. In this study, using immunohistochemistry, we evaluated the expression of mismatch repair (MMR) proteins, tumor-infiltrating lymphocytes (CD8+), and immune checkpoint molecules (PD-L1) in 60 patients with type II EC (16, 5, 17, and 22 were endometrioid G3, serous, de-differentiated, and carcinosarcoma cases, respectively) to investigate the therapeutic effect of immune checkpoint inhibitors. Approximately 24 cases (40%) had a loss of MMR protein expression. The positivity rate of CD8+ (p = 0.0072) and PD-L1 (p = 0.0061) expression was significantly associated with the dMMR group. These results suggest immune checkpoint inhibitors (anti-PD-L1/PD-1 antibodies) could effectively treat type II EC with dMMR. The presence of dMMR might be a biomarker for a positive response to PD-1/PD-L1 immunotherapy in type II EC.

Identifying the Carcinogenic Mechanism of Malignant Struma Ovarii Using Whole-Exome Sequencing and DNA Methylation Analysis.

BACKGROUND: Since malignant struma ovarii is a very rare disease, its carcinogenic mechanism has not been elucidated. Here, we sought to identify the genetic lesions that may have led to the carcinogenesis of a rare case of malignant struma ovarii (follicular carcinoma) with peritoneal dissemination. METHODS: DNA was extracted from the paraffin-embedded sections of normal uterine tissues and malignant struma ovarii for genetic analysis. Whole-exome sequencing and DNA methylation analysis were then performed. RESULTS: Germline variants of RECQL4, CNTNAP2, and PRDM2, which are tumor-suppressor genes, were detected by whole-exome sequencing. Somatic uniparental disomy (UPD) was also observed in these three genes. Additionally, the methylation of FRMD6-AS2, SESN3, CYTL1, MIR4429, HIF3A, and ATP1B2, which are associated with tumor growth suppression, was detected by DNA methylation analysis. CONCLUSIONS: Somatic UPD and DNA methylation in tumor suppressor genes may be associated with the pathogenesis of malignant struma ovarii. To our knowledge, this is the first report of whole-exome sequencing and DNA methylation analysis in malignant struma ovarii. Genetic and DNA methylation analysis may help elucidate the mechanism of carcinogenesis in rare diseases and guide treatment decisions.

What Makes Bangladeshi Pregnant Women More Compliant to Iron-Folic Acid Supplementation: A Nationally Representative Cross-Sectional Survey Result.

BACKGROUND: Iron-Folic Acid Supplementation (IFAS) is an effective strategy to prevent iron deficiency anemia during pregnancy. We aimed to explore the key factors associated with compliance to IFA tablets in Bangladesh. METHODS: This study analyzed the 2017-2018 Bangladesh Demographic and Health Survey data of 3828 pregnant women aged 15-49 years. We categorized compliance into two categories; at least 90 days and full 180 days of consumption. We performed multivariable logistic regression to identify the association between key factors and IFAS compliance. RESULTS: The prevalence of consumption of IFA tablets for at least 90 days was 60.64%, and only 21.72% of women consumed the IFA for the full 180 days. About three-quarters of the women (73.36%) having at least four antenatal care visits (ANC) consumed IFA for at least 90 days, whereas only three in ten women (30.37%) consumed IFA for a minimum of 180 days. For compliance with IFA for at least 90 days, respondent's age of 20-34 years (aOR 1.26, 95% CI 1.03-1.54), respondent's educational qualification of secondary (aOR 1.77, 95% CI 1.16-2.70) or higher (aOR 2.73, 95% CI 1.65-4.53), husband's educational qualification of secondary (aOR 1.33, 95% CI 1.00-1.77) or higher (aOR 1.75, 95% CI 1.22-2.52), and having received at least four antenatal care (ANC) visits from medically skilled providers (aOR 2.53, 95% CI 2.14-3.00) were significantly associated with higher odds of compliance. For compliance with IFA for at least 180 days, respondent's educational qualification of higher (aOR 2.45, 95% CI 1.34-4.48), and having received at least four ANC visits from medically skilled providers (aOR 2.43, 95% CI 1.97-3.00) were significantly associated with higher odds of compliance. Intimate partner violence was negatively associated with compliance with IFA for at least 180 days (aOR 0.62, 95% CI 0.48-0.81). CONCLUSIONS: The full compliance to IFAS is still sub-optimal in Bangladesh. Further precise context-specific intervention strategies must be developed and implemented with fidelity.

Development of Novel Foxtail Millet-Based Nutri-Rich Instant Noodles: Chemical and Quality Characteristics.

Noodles are a popular snack mainly produced from wheat flour; however, the low contents of protein, minerals, and lysine are a concern. Therefore, this research developed nutri-rich instant noodles by using foxtail millet (FTM) (Setaria italic) flour to improve the contents of protein and nutrients and increase its commercial importance. FTM flour was mixed with wheat flour (Triticum aestivum) at a ratio of 0:100, 30:60, 40:50, and 50:40, and the samples were named as control, FTM30, FTM40, and FTM50 noodles, respectively. Mushroom (Pleurotus ostreatus) and rice bran (Oryza sativa L.) flour were added at a percentage of 5% to all the composite noodles (FTM30, FTM40, and FTM50 noodles). The contents of biochemicals, minerals, and amino acids, as well as the organoleptic properties of the noodles, were examined and compared with wheat flour as a control. The results revealed that the carbohydrate (CHO) content of FTM50 noodles was significantly lower (p < 0.05) than all the developed and five commercial noodles named A-1, A-2, A-3, A-4, and A-5. Moreover, the FTM noodles had significantly higher levels of protein, fiber, ash, calcium, and phosphorous than the control and commercial noodles. The percentage of lysine calculated protein efficiency ratio (PER), essential amino acid index (EAAI), biological value (BV), and chemical score (CS) of FTM50 noodles were also higher than that of the commercial noodles. The total bacterial count was nil for the FTM50 noodles, and the organoleptic properties were consistent with those of acceptable standards. The results could encourage the application of FTM flours for the development of variety and value-added noodles with enhanced level of nutrients.

Acidophilic microorganisms in remediation of contaminants present in extremely acidic conditions.

Acidophiles are a group of microorganisms that thrive in acidic environments where pH level is far below the neutral value 7.0. They belong to a larger family called extremophiles, which is a group that thrives in various extreme environmental conditions which are normally inhospitable to other organisms. Several human activities such as mining, construction and other industrial processes release highly acidic effluents and wastes into the environment. Those acidic wastes and wastewaters contain different types of pollutants such as heavy metals, radioactive, and organic, whose have adverse effects on human being as well as on other living organisms. To protect the whole ecosystem, those pollutants containing effluents or wastes must be clean properly before releasing into environment. Physicochemical cleanup processes under extremely acidic conditions are not always successful due to high cost and release of toxic byproducts. While in case of biological methods, except acidophiles, no other microorganisms cannot survive in highly acidic conditions. Therefore, acidophiles can be a good choice for remediation of different types of contaminants present in acidic conditions. In this review article, various roles of acidophilic microorganisms responsible for removing heavy metals and radioactive pollutants from acidic environments were discussed. Bioremediation of various acidic organic pollutants by using acidophiles was also studied. Overall, this review could be helpful to extend our knowledge as well as to do further relevant novel studies in the field of acidic pollutants remediation by applying acidophilic microorganisms.