Traumatic Pediatric Buccal Fat Pad Herniation: A Report of Two Cases.

The buccal fat pad (BFP) is a specialized encapsulated adipose tissue, located intimately between the buccinator muscle and oral mucous membrane. A small perforation of buccinator muscle can lead to herniation of BFP into the oral cavity, which can be readily mistaken with a pathological entity. In general, the size of herniated BFP is larger than the perforation. The treatment options for BFP are excision or repositioning in its anatomical position if noticed early. This article reports two such cases presenting with herniation of the BFP, following trauma to buccal mucosa and its surgical management.

Plp1-expresssing perineuronal DRG cells facilitate colonic and somatic chronic mechanical pain involving Piezo2 upregulation in DRG neurons.

Satellite glial cells (SGCs) of dorsal root ganglia (DRGs) are activated in a variety of chronic pain conditions; however, their mediation roles in pain remain elusive. Here, we take advantage of proteolipid protein (PLP)/creERT-driven recombination in the periphery mainly occurring in SGCs of DRGs to assess the role of SGCs in the regulation of chronic mechanical hypersensitivity and pain-like responses in two organs, the distal colon and hindpaw, to test generality. We show that PLP/creERT-driven hM3Dq activation increases, and PLP/creERT-driven TrkB.T1 deletion attenuates, colon and hindpaw chronic mechanical hypersensitivity, positively associating with calcitonin gene-related peptide (CGRP) expression in DRGs and phospho-cAMP response element-binding protein (CREB) expression in the dorsal horn of the spinal cord. Activation of Plp1+ DRG cells also increases the number of small DRG neurons expressing Piezo2 and acquiring mechanosensitivity and leads to peripheral organ neurogenic inflammation. These findings unravel a role and mechanism of Plp1+ cells, mainly SGCs, in the facilitation of chronic mechanical pain and suggest therapeutic targets for pain mitigation.

United Kingdom oral and maxillofacial surgeons support changes to current specialty recruitment process, which could include 'Walport' style local selection and national benchmarking.

Recruitment to oral and maxillofacial Surgical (OMFS) specialty training was centralised in 2010. The 'flexibility' for OMFS to respond to specialty specific recruitment issues is reducing and many Specialty Trainees' (ST) posts are left unfilled. The National Institute for Health and Care Research (NIHR) appointment process designed to address the problem of recruiting and appointing academic surgeons with local selection with national benchmarking has worked. Using a database of all UK OMFS consultants/trainees, an electronic questionnaire was shared by e-mail, WhatsApp, and other social media. Of 306 replies, 125 (41%) were Consultants/post-certificate of completion training (CCT) individuals, 66 (22%) ST, 61 (20%) second degree students, 27 (9%) pre-second degree, 26 (9%) dual degree pre-ST trainees, and one did not indicate their status. A total of 249 (76%) studied dentistry first and 230 (75%) were male. Of those replying, 147 (48%) had no direct experience of national selection. 120 (39%) had experience as a candidate, 20 (7%) as a selector only, 17 (6%) as a candidate and selector, and two did not record their experience. Of 250 expressing an opinion, 156 (62%) supported local selection with 140 (56%) supporting local selection and national benchmarking, which is a process used for research training posts by the NIHR. Geographical continuity was most important for 78% of pre-second-degree trainees, 45% of STs, and 54% of second-degree students. A total of 57 respondents completed free text comments. There is support for changes in OMFS ST selection including creating OMFS posts which include Foundation and second-degree training in NIHR style locally recruited nationally benchmarked posts.

UK OMFS consultants and trainees strongly support the recommendations of the 2008 Postgraduate Medical Education and Training Board (PMETB) Review of Training in OMFS. The time for delivering them is now.

When the Postgraduate Medical Education and Training Board's (PMETB) Review of Oral and Maxillofacial Surgery (OMFS) Training was published in 2008 it contained five recommendations about OMFS training. As yet, none of these recommendations has been delivered. An online survey was designed to assess awareness of the PMETB review and the current views of OMFS trainees and consultants about its recommendations. Replies were invited using email and social media (WhatsApp, Twitter, and Facebook). As a result of using social media no denominator for the response rate was possible. A total of 304 responses were received, eight of which were anonymous. There was strong support for all the OMFS-specific recommendations: 1: the OMFS specialty should remain a dual medical and dental degree specialty (255, 84%); 2: OMFS training should be shortened (283, 93%); 3: OMFS training should start at the beginning of the second degree (203, 67%); 4: there should be a single medical regulator (General Medical Council) for OMFS (258, 85%); and 6: the need for a second Foundation Year should be removed (260, 86%). Other suggestions about improving OMFS training were also made by participants in the survey. There remains strong support within the specialty for the recommendations of the review. This support is present across consultants, specialty trainees, and those aiming for OMFS specialty training. Some of the original legislative obstructions to delivery of the recommendations have been removed by Brexit creating a unique opportunity for them to be delivered.

Inequalities in cardiovascular disease among elderly Indians: A gender perspective analysis using LASI wave-I (2017-18).

BACKGROUND: While Cardiovascular disease (CVD) affects both men and women, emerging evidence suggests notable gender differentials in disease prevalence. This study aims to explore and analyse the gender differentials in CVD disease prevalence in India. METHODS: The present study utilizes data from first wave of the nationally representative survey "Longitudinal Ageing Study in India" (LASI, WAVE-I, 2017-18) with the eligible sample size of 31,464 individuals aged 60 years and above. Logistic regression analysis was used to understand risk of CVD by demographic characteristics. Factors contribution to gender differences in CVD prevalence was examined using a non-linear Fairlie decomposition. RESULTS: The prevalence of CVD was lower in men (31.06%) compared to women (38.85%). Women have a 33% higher likelihood of CVD compared to men (OR: 1.33; 95% CI: 1.25-1.42). Lack of education also confers a lower risk, more pronounced in women with no schooling (OR: 0.81; 95% CI: 0.7-0.94) compared to men (OR: 0.52; 95% CI: 0.47-0.58). Morbidity influences CVD presence more among women than men, with individuals suffering from three or more diseases having markedly increased odds (Men: OR: 3.89; 95% CI: 3.54-4.3, Women: OR: 6.97; 95% CI: 6.48-10.11). Smoking accounted increase in (20.52%) the gender gap while years of schooling dramatically lessened the gender gap (-46.30%). CONCLUSION: Result show gender differential in CVD prevalence and underlying risk factors, underscoring the need for gender-specific preventive strategies and interventions. Our findings highlight the importance of refined approach to cardiovascular health that considers the complex interplay of biological, social, and environmental determinants.

Size-induced exchange bias in single-phase CoO nanoparticles.

The tuning of exchange bias (EB) in nanoparticles has garnered significant attention due to its diverse range of applications. Here, we demonstrate EB in single-phase CoO nanoparticles, where two magnetic phases naturally emerge as the crystallite size decreases from 34.6 ± 0.8 to 10.8 ± 0.9 nm. The Néel temperature (TN) associated with antiferromagnetic ordering decreases monotonically with the reduction in crystallite size, highlighting the significant influence of size effects. The 34.6 nm nanoparticles exhibit magnetization irreversibility between zero-field cooled (ZFC) and field-cooled (FC) states belowTN. With further reduction in size this irreversibility appears well aboveTN, resulting in the absence of true paramagnetic regime which indicates the occurnace of an additional magnetic phase. The frequency-dependent ac-susceptibility in 10.8 nm nanoparticles suggests slow dynamics of disordered surface spins aboveTN, coinciding with the establishment of long-range order in the core. The thermoremanent magnetization (TRM) and iso-thermoremanent magnetization (IRM) curves suggest a core-shell structure: the core is antiferromagnetic, and the shell consists of disordered surface spins causing ferromagnetic interaction. Hence, the EB in these CoO nanoparticles results from the exchange coupling between an antiferromagnetic core and a disordered shell that exhibits unconventional surface spin characteristics.

Association Between MR Elastography Liver Stiffness and Histologic Liver Fibrosis in Children and Young Adults With Autoimmune Liver Disease.

Background: Liver fibrosis is an important clinical endpoint of progression of autoimmune liver disease (AILD); its monitoring would benefit from noninvasive imaging tools. Objective: To assess the relationship between MR elastography (MRE) liver stiffness measurements and histologic liver fibrosis, as well as to evaluate the performance of MRE and biochemical-based clinical markers for stratifying histologic liver fibrosis severity, in children and young adults with AILD. Methods: This retrospective study used an existing institutional registry of children and young adults diagnosed with AILD [primary sclerosing cholangitis (PSC), ASC (autoimmune sclerosing cholangitis), or AIH (autoimmune hepatitis)]. The registry was searched to identify patients who underwent both a research abdominal 1.5-T MRI that included liver MRE (performed for registry enrollment) and a clinically indicated liver biopsy within a 6-month interval. MRE used a 2D gradient-recalled echo sequence. One analyst measured mean liver shear stiffness (kPa) for each examination. Laboratory markers of liver fibrosis [aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis-4 score (FIB-4)] were recorded. For investigational purposes, one pathologist determined histologic METAVIR liver fibrosis stage, blinded to clinical and MRI data. Spearman rank-order correlation was calculated between MRE liver stiffness and METAVIR liver fibrosis stage. ROC analysis was used to evaluate diagnostic performance for identifying advanced fibrosis (i.e., differentiating METAVIR F0-F1 from F2-F4 fibrosis), calculating sensitivity and specificity at the Youden's index. Results: The study included 46 patients (median [IQR] age, 16.6 [13.7-17.8] years; 20 female, 26 male); 12 had PSC, 10 had ASC, and 24 had AIH. Median MRE liver stiffness was 2.9 kPa (IQR: 2.2-4.0 kPa). MRE liver stiffness and METAVIR fibrosis stage showed strong positive correlation (rho=0.68). For identifying advanced liver fibrosis, MRE liver stiffness had AUC of 0.81, with sensitivity of 65.4% and specificity of 90.0%; APRI had AUC of 0.72, with sensitivity of 60.0% and specificity of 85.0%; and FIB-4 had AUC of 0.71, with sensitivity of 64.0% and 85.0%. Conclusion: MRE liver stiffness measurements were associated with histologic liver fibrosis severity. Clinical Impact: The findings support a role for MRE in noninvasive monitoring of liver stiffness, a surrogate for fibrosis, in children and young adults with AILD.

Nanotechnology in Orthodontics: Unveiling Pain Mechanisms, Innovations, and Future Prospects of Nanomaterials in Drug Delivery.

Orthodontic pain is characterized by sensations of tingling, tooth discomfort, and intolerance. According to the oral health report, over forty percent of children and adolescents have undergone orthodontic treatment. The efficacy of orthodontic treatment involving braces can be compromised by the diverse levels of discomfort and suffering experienced by patients, leading to suboptimal treatment outcomes and reduced patient adherence. Nanotechnology has entered all areas of science and technology. This review provides an overview of nanoscience, its application in orthodontics, the underlying processes of orthodontic pain, effective treatment options, and a summary of recent research in Nano-dentistry. The uses of this technology in healthcare span a wide range, including enhanced diagnostics, biosensors, and targeted drug delivery. The reason for this is that nanomaterials possess distinct qualities that depend on their size, which can greatly enhance human well-being and contribute to better health when effectively utilized. The field of dentistry has also experienced significant advancements, particularly in the past decade, especially in the utilization of nanomaterials and technology. Over time, there has been an increase in the availability of dental nanomaterials, and a diverse array of these materials have been extensively studied for both commercial and therapeutic purposes.

phylaGAN: data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data.

MOTIVATION: Research is improving our understanding of how the microbiome interacts with the human body and its impact on human health. Existing machine learning methods have shown great potential in discriminating healthy from diseased microbiome states. However, Machine Learning based prediction using microbiome data has challenges such as, small sample size, imbalance between cases and controls and high cost of collecting large number of samples. To address these challenges, we propose a deep learning framework phylaGAN to augment the existing datasets with generated microbiome data using a combination of conditional generative adversarial network (C-GAN) and autoencoder. Conditional generative adversarial networks train two models against each other to compute larger simulated datasets that are representative of the original dataset. Autoencoder maps the original and the generated samples onto a common subspace to make the prediction more accurate. RESULTS: Extensive evaluation and predictive analysis was conducted on two datasets, T2D study and Cirrhosis study showing an improvement in mean AUC using data augmentation by 11% and 5% respectively. External validation on a cohort classifying between obese and lean subjects, with a smaller sample size provided an improvement in mean AUC close to 32% when augmented through phylaGAN as compared to using the original cohort. Our findings not only indicate that the generative adversarial networks can create samples that mimic the original data across various diversity metrics, but also highlight the potential of enhancing disease prediction through machine learning models trained on synthetic data. AVAILABILITY AND IMPLEMENTATION: https://github.com/divya031090/phylaGAN.

Literature mining discerns latent disease-gene relationships.

MOTIVATION: Dysregulation of a gene's function, either due to mutations or impairments in regulatory networks, often triggers pathological states in the affected tissue. Comprehensive mapping of these apparent gene-pathology relationships is an ever-daunting task, primarily due to genetic pleiotropy and lack of suitable computational approaches. With the advent of high throughput genomics platforms and community scale initiatives such as the Human Cell Landscape project, researchers have been able to create gene expression portraits of healthy tissues resolved at the level of single cells. However, a similar wealth of knowledge is currently not at our finger-tip when it comes to diseases. This is because the genetic manifestation of a disease is often quite diverse and is confounded by several clinical and demographic covariates. RESULTS: To circumvent this, we mined ∼18 million PubMed abstracts published till May 2019 and automatically selected ∼4.5 million of them that describe roles of particular genes in disease pathogenesis. Further, we fine-tuned the pretrained bidirectional encoder representations from transformers (BERT) for language modeling from the domain of natural language processing to learn vector representation of entities such as genes, diseases, tissues, cell-types, etc., in a way such that their relationship is preserved in a vector space. The repurposed BERT predicted disease-gene associations that are not cited in the training data, thereby highlighting the feasibility of in silico synthesis of hypotheses linking different biological entities such as genes and conditions. AVAILABILITY AND IMPLEMENTATION: PathoBERT pretrained model: https://github.com/Priyadarshini-Rai/Pathomap-Model. BioSentVec-based abstract classification model: https://github.com/Priyadarshini-Rai/Pathomap-Model. Pathomap R package: https://github.com/Priyadarshini-Rai/Pathomap.

Virtual Learning Decreases the Carbon Footprint of Medical Education.

INTRODUCTION: The environmental impact of holding in-person academic conferences and continuing medical education (CME) programs can be significant. In-person conferences provide a unique social and professional platform to engage in networking and foster professional development; however, there is an opportunity for hybrid and virtual platforms to provide CME for broader audiences looking to improve their clinical skills and strengthen their knowledge base. This study seeks to describe the reduction in carbon emissions associated with a webinar hosted by an online dermatology-focused medical education platform. METHODS: This cross-sectional study used the location of deidentified virtual attendees of a webinar to predict the carbon emissions produced if attendees had instead traveled to the location of the most recent Integrative Dermatology Symposium (Sacramento, CA). Following collection of each virtual attendee's location, the mode of transportation was predicted on the basis of each participant's distance to the conference. RESULTS: The estimated carbon emissions were calculated for 576 participants. The total estimated, unadjusted carbon emissions for both attendees predicted to fly or drive was 370,100 kg CO2. The emissions produced per participant from those expected to fly to an in-person CME after adjusting for all additional passengers on every flight were 4.5 kg CO2. The emissions produced per participant from those expected to drive were 42.7 kg CO2. CONCLUSION: The use of a virtual CME webinar led to a significant reduction in travel-related carbon dioxide emissions when compared to running the same program in-person event. When accounting for all passengers traveling via plane on any flight, driving to an event produced more emissions per participant than flying.

Evaluation of in-feed supplementation of formic acid and thymol as non-antibiotic growth promoters and assessing their effect on antimicrobial resistant E.coli isolated in Turkey.

With the rampant usage of antibiotics as growth promoters (AGPs) in poultry sector, there has been alarming concerns of antimicrobial resistant microbes such as Escherichia coli. Diversification of poultry farming due to consumer demand for safer products with higher protein content, turkey production is gaining popularity. Feed additives such as formic acid (FA) and thymol (TH) are effectively replacing AGPs due to their antimicrobial action. This directed the researchers to find alternatives to antibiotics such as thymol and formic acid because of their strong antimicrobial, anti-oxidative, digestive-stimulating properties. To assess the efficacy of FA and TH as growth promoters and their effect on the antimicrobial resistance (AMR) load, the current study (0-12 weeks) was conducted in CARI VIRAT turkey poults (n = 256; unsexed) those were randomly distributed into eight treatment groups: control(T1), AGP (T2), graded levels of FA (T3 to T5) @ 2.5, 5 and 7.5 ml/kg and TH (T6 to T8) @ 120, 240 and 350 mg/kg. Cloacal swab samples were collected at 0, 4th, 8th and 12th week interval and processed further for isolation, identification and assessment of resistance profile of E. coli. The final body weight, cumulative gain and FCR were significantly (p < 0.05) better for birds under supplementation. The Total plate count (TPC) and coliforms showcased a significant (p < 0.001) reduction in the FA and TH supplement groups as compared to control and AGP group. The resistance profile indicated E. coli isolates from AGP group with significantly (p < 0.001) highest resistivity against antibiotics (viz. chloramphenicol, tetracycline, nalidixic acid, chlortetracycline) while isolates from FA (T5) and TH (T8) groups were the least resistant. blaAmpC gene was significantly (p < 0.001) harbored in T2 isolates whereas least detected in T5 and T8. It was inferred that formic acid (7.5 ml/kg) and thymol (360 mg/kg) can effectively replace AGPs and lower AMR burden in poultry.

Integrating Patient-Reported Outcomes Into Prognostication in Gastroesophageal Cancer: Results of a Population-Based Retrospective Cohort Analysis.

BACKGROUND: Patient-reported outcomes measures (PROM) are self-reflections of an individual's physical functioning and emotional well-being. The Edmonton Symptom Assessment Scale (ESAS) is a simple and validated PRO tool of 10 common symptoms and a patient-reported functional status (PRFS) measure. The prognostic value of this tool is unknown in patients with gastroesophageal cancer (GEC). In this study, we examined the association between the ESAS score and overall survival (OS) in patients with GEC, the prognostication difference between ESAS and Eastern Cooperative Oncology Group (ECOG), and assessed the correlation between PRFS and the physician-reported ECOG performance status (PS). METHODS: The study was a retrospective cohort study of 211 patients with GEC with localized (stages I-III) and metastatic disease who completed at least one baseline ESAS prior to treatment. Patients were grouped into 3 cohorts based on ESAS score. OS was assessed using the Kaplan-Meier method, and the concordance index (c-index) was calculated for ESAS and physician-reported ECOG. The agreement between PRFS and physician-ECOG was also assessed. RESULTS: In total, 211 patients were included. The median age was 60.8 years; 90% of patients were ECOG PS 0-1; 38% of patients were stages I-III, while 62% were de novo metastatic patients. Median OS in low, moderate, high symptom burden (SB) patients' cohorts was 19.17 m, 16.39 mm, and 12.68 m, respectively (P < .04). The ability to predict death was similar between physician-ECOG and ESAS (c-index 0.56 and 0.5753, respectively) and PRFS and physician-ECOG (c-index of 0.5615 and 0.5545, respectively). The PS agreement between patients and physicians was 50% with a weighted Kappa of 0.27 (95% CI: 0.17-0.38). CONCLUSION: Patient's SB seems to carry a prognostic significance. ESAS and physician-reported ECOG exhibit comparable prognostic values. Physicians and patients can frequently have divergent opinions on PS. ESAS takes a patient-centered approach and should be encouraged in practice among patients with GEC as an additional tool for prognostication.

Links between gut microbiome, metabolome, clinical variables and non-alcoholic fatty liver disease severity in bariatric patients.

BACKGROUND AND AIMS: Bacterial species and microbial pathways along with metabolites and clinical parameters may interact to contribute to non-alcoholic fatty liver disease (NAFLD) and disease severity. We used integrated machine learning models and a cross-validation approach to assess this interaction in bariatric patients. METHODS: 113 patients undergoing bariatric surgery had clinical and biochemical parameters, blood and stool metabolite measurements as well as faecal shotgun metagenome sequencing to profile the intestinal microbiome. Liver histology was classified as normal liver obese (NLO; n = 30), simple steatosis (SS; n = 41) or non-alcoholic steatohepatitis (NASH; n = 42); fibrosis was graded F0 to F4. RESULTS: We found that those with NASH versus NLO had an increase in potentially harmful E. coli, a reduction of potentially beneficial Alistipes putredinis and an increase in ALT and AST. There was higher serum glucose, faecal 3-(3-hydroxyphenyl)-3-hydroxypropionic acid and faecal cholic acid and lower serum glycerophospholipids. In NAFLD, those with severe fibrosis (F3-F4) versus F0 had lower abundance of anti-inflammatory species (Eubacterium ventriosum, Alistipes finegoldii and Bacteroides dorei) and higher AST, serum glucose, faecal acylcarnitines, serum isoleucine and homocysteine as well as lower serum glycerophospholipids. Pathways involved with amino acid biosynthesis and degradation were significantly more represented in those with NASH compared to NLO, with severe fibrosis having an overall stronger significant association with Superpathway of menaquinol-10 biosynthesis and Peptidoglycan biosynthesis IV. CONCLUSIONS: In bariatric patients, NASH and severe fibrosis were associated with specific bacterial species, metabolic pathways and metabolites that may contribute to NAFLD pathogenesis and disease severity.

Uncovering the genomic regions underlying grain iron and zinc content using genome-wide association mapping in finger millet.

Finger millet, being rich source of essential minerals like iron and zinc, is an ideal model to identify candidate genes contributing to high grain iron content (GIC) and zinc content (GZC) in plants. Hence, finger millet diversity panel comprised of 202 genotypes was evaluated in two geographical locations and found to have a wide variation for GIC and GZC. A genome-wide association study using 2977 single nucleotide polymorphism (SNP) markers identified reliable marker-trait associations (MTAs). The use of general linear model (GLM) and mixed linear model (MLM) approaches revealed 5 and 8 common MTAs linked to GIC and GZC, respectively, for both Almora and Pantnagar locations, with a high level of significance (P < 0.01). However, 12 significant MTAs were found to be linked with GIC for Pantnagar location alone. The MTAs were associated with specific genes that produce ferritin (Fer1), iron-regulated transporter-like protein (IRT2), and yellow stripe-like 2 proteins (YSL2). These genes are likely linked to GIC variation in finger millet. Additionally, the variation in GZC in finger millet was connected to genes that encode zinc transporters, namely ZIP1 protein (ZIP1) and ZTP29-like protein (ZTP29). Compared to low GIC and GZC genotypes, high GIC and GZC genotypes exhibited greater relative expression of these genes. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03889-1.

Validation of no-biopsy pathway for the diagnosis of celiac disease in Asian adults: a multicenter retrospective study.

BACKGROUND AND AIM: While European Society of Pediatric Gastroenterology Hepatology and Nutrition advocates a no-biopsy pathway for the diagnosis of celiac disease (CeD) in children if IgA anti-tissue transglutaminase antibody (anti-tTG ab) titer is ≥10-fold upper limit of normal (ULN) and have a positive IgA anti-endomysial antibody (EMA); the data for anti-tTG Ab titer-based diagnosis of CeD in adults is still emerging. We planned to validate if IgA anti-tTG Ab titer ≥10-fold predicts villous abnormalities of modified Marsh grade ≥2 in Asian adult patients with CeD. METHODS: We recruited 937 adult patients with positive anti-tTG Ab from two databases, including AIIMS Celiac Clinic and Indian National Biorepository. The diagnosis of definite CeD was made on the basis of a positive anti-tTG Ab and the presence of villous abnormalities of modified Marsh grade ≥2. RESULTS: Of 937 adult patients with positive anti-tTG Ab, 889 (91.2%) showed villous abnormalities of modified Marsh grade ≥2. Only 47.6% of 889 adults with CeD had anti- tTG Ab titers of ≥10-fold. The positive predictive value (PPV) and specificity of anti tTG Ab titer ≥10-fold for predicting modified Marsh grade ≥2 were 99.8% and 98%, respectively. At anti-tTG Ab titer ≥11-fold, specificity and PPV were 100% for predicting villous abnormalities of modified Marsh grade ≥2. CONCLUSIONS: Approximately 50% of adults with CeD may benefit from the no biopsy pathway, reducing the health burden and risks of gastroscopy/anesthesia.

Valorization of wheat straw into paper by ultrafiltered enzymatic bleaching approach.

In this study, the potential of ultrafiltered xylano-pectinolytic enzymatic bleaching approach was investigated, for manufacturing wheat straw-based paper. The enzymatic step was found to be most effective, with xylanase-pectinase dose of 4-1.7 IU/g pulp and time period of 180 min. The absorption spectra of the pulp free filtrate samples obtained after treatment of the pulp with ultrafiltered enzymes showed the removal of more impurities, in comparison to the treatment with crude enzymes. Microscopic analysis also showed the removal of lignin impurities in enzymatically bleached pulp samples. This bleaching approach using enzymes resulted in 27% reduction in ClO2 dose. Ultrafiltered enzymes treated pulp samples also showed improved quality-related parameters, and Gurley porosity, burst index, breaking length, double fold, tear index, and viscosity increased by 19.05, 13.70, 8.18, 29.27, 4.41, and 13.27%, respectively. The lignin content, TDS, TSS, BOD and COD values also decreased in the effluent samples obtained after enzymatic bleaching plus 73% chemical bleaching dose. The BOD and COD values of the effluent samples improved by 23.01 and 23.66%, respectively. Thus, indicating the potential of ultrafiltered xylano-pectinolytic enzymes in reducing pollution during bleaching of wheat straw. This is the first study, mentioning the efficacy of ultrafiltered enzymes in the bleaching of wheat straw-based paper with better optical-strength-related properties and effluent characteristics.