Therapeutic effect of oral insulin-chitosan nanobeads pectin-dextrin shell on streptozotocin-diabetic male albino rats.

The current study inspects the therapeutic effects of orally ingested insulin-loaded chitosan nanobeads (INS-CsNBs) with a pectin-dextrin (PD) coating on streptozotocin (STZ)-induced diabetes in Wistar rats. The study also assessed antioxidant effects in pancreatic tissue homogenate, insulin, C-peptide, and inflammatory markers interleukin-1 beta and interleukin-6 (IL-1ß and IL-6) in serum. Additionally, histopathological and immunohistochemical examination of insulin granules, oxidative stress, nuclear factor kappa B (NF-κB P65), and sirtuin-1 (SIRT-1) protein detection, as well as gene expression of nuclear factor erythroid 2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1), B-cell lymphoma 2 (Bcl2), and Bcl-2-associated X protein (Bax) in pancreatic tissue were investigated. After induction of diabetes with STZ, rats were allocated into 6 groups: the normal control (C), the diabetic control (D), and the diabetic groups treated with INS-CsNBs coated with PD shell (50 IU/kg) (NF), free oral insulin (10 IU/kg) (FO), CsNBs-PD shell (50 IU/kg) (NB), and subcutaneous insulin (10 IU/kg) (Sc). The rats were treated daily for four weeks. Treatment of diabetic rats with INS-CsNBs coated with PD shell resulted in a significant improvement in blood glucose levels, elevated antioxidant activities, decreased NF-κB P65, IL-1ß, and IL-6 levels, upregulated Nrf-2 and HO-1, in addition to a marked improvement in the histological architecture and integrity compared to the diabetic group. The effects of oral INS-CsNBs administration were comparable to those of subcutaneous insulin. In conclusion, oral administration of INS-loaded Cs-NBs with a pectin-dextrin shell demonstrated an ameliorative effect on STZ-induced diabetes, avoiding the drawbacks of subcutaneous insulin.

First microscopic, pathological, epidemiological, and molecular investigation of Leucocytozoon (Apicomplexa: Haemosporida) parasites in Egyptian pigeons.

Introduction: Leucocytozoon is an intracellular blood parasite that affects various bird species globally and is transmitted by blackfly vectors. This parasite is responsible for leucocytozoonosis, a disease that results in significant economic losses due to reduced meat and egg production. There is limited knowledge about the epidemiological pattern of leucocytozoonosis and its causative species in Egypt, particularly in pigeons. Methods: The current study involved the collection of 203 blood samples from domestic pigeons from various household breeders and local markets across Qena Province, Upper Egypt. Samples were initially examined for potential Leucocytozoon infection using blood smears, followed by an evaluation of associated risk factors. Molecular identification of the parasite in selected samples (n = 11), which had initially tested positive via blood smears, was further refined through nested PCR and sequence analysis of the mitochondrial cytochrome b gene to ascertain the Leucocytozoon species present. Additionally, histopathological examination of the liver, spleen, and pancreas was conducted on animals that tested positive by blood smears. Results: Interestingly, 26 out of 203 samples (12.08%) had confirmed Leucocytozoon infections based on microscopic analysis. Additionally, all 11 samples that initially tested positive via blood smears were confirmed positive through nested PCR analysis, and their sequencing revealed the presence of Leucocytozoon sabrazesi, marking the first report of this parasite in Egypt. The study into potential risk factors unveiled the prevalence of Leucocytozoon spp. seems host gender-dependent, with males exhibiting a significantly higher infection rate (33.33%). Additionally, adult birds demonstrated a significantly higher infection prevalence than squabs, suggesting an age-dependent trend in prevalence. Seasonality played a significant role, with the highest occurrence observed during summer (37.25%). Histopathological examination revealed the presence of numerous megaloschizonts accompanied by lymphocytic infiltration and multiple focal areas of ischemic necrosis. Conclusion: To our knowledge, this is the first study to shed light on the epidemiological characteristics and molecular characterization of leucocytozoonosis in pigeons in Egypt. Further research endeavors are warranted to curb the resurgence of Leucocytozoon parasites in other avian species across Egypt, thereby refining the epidemiological understanding of the disease for more effective control and prevention measures.

Detection of caprine paratuberculosis (Johne's disease) in pre- and post-vaccinated herds: morphological diagnosis, lesion grading, and bacterial identification.

Samples from the mesenteric lymph nodes (MS LNs) and ileocecal valves (ICV) of 105 goats, comprising 61 non-vaccinated and 44 vaccinated against Mycobacterium avium subspecies paratuberculosis (MAP), were collected at slaughter from a farm with a confirmed history of paratuberculosis (PTB). These goats had subclinical infections. PTB-compatible lesions in the MS LNs, ICV lamina propria (LP), and Peyer's patches (PPs) were graded separately. Furthermore, the load of acid-fast bacilli was quantified using Ziehl-Neelsen staining (ZN), MAP antigens by immunohistochemistry (IHC), and MAP DNA by PCR targeting the IS900 sequence. Gross PTB-compatible lesions were found in 39% of the goats, with 31.72% vaccinated (V) and 68.29% non-vaccinated (nV). Histopathological lesions induced MAP were observed in 58% of the animals, with 36.07% vaccinated and 63.93% non-vaccinated. The inclusion of histopathology as a diagnostic tool led to a 28% increase in diagnosed cases in MS LNs and 86.05% in ICV. Grade IV granulomas with central mineralization and necrosis were the most common lesions in MS LNs. In the ICV, mild granulomatous enteritis with multifocal foci of epithelioid macrophages was predominant, occurring more frequently in the PPs than in the LP. Furthermore, statistical differences in the presence of histopathological lesions between vaccinated and non-vaccinated goats were noted in MS LNs, ICV LPs, and ICV PPs. Non-vaccinated animals showed higher positivity rates in ZN, IHC, and PCR tests, underscoring the benefits of anti-MAP vaccination in reducing PTB lesions and bacterial load in target organs. Our findings emphasize the necessity of integrating gross and histopathological assessments with various laboratory techniques for accurate morphological and etiological diagnosis of PTB in both vaccinated and non-vaccinated goats with subclinical disease. However, further studies are required to refine sampling protocols for subclinical PTB in goats to enhance the consistency of diagnostic tools.

Exploring the Histopathological Landscape of Urinary Bladder Diseases: A Tertiary Care Center Study.

Introduction Urinary bladder lesions encompass a wide spectrum, from benign inflammatory conditions to malignant neoplasms, presenting diagnostic and therapeutic challenges. Urothelial carcinoma predominates among bladder malignancies, exhibiting diverse clinical presentations and prognoses. Objective This study aimed to delineate the histopathological spectrum of urinary bladder lesions and correlate demographic profiles, clinical features, and cystoscopic findings with various bladder lesions. Methods This prospective descriptive observational study spanned 24 months at a tertiary care center, involving 65 cases of urinary bladder biopsies, including transurethral resection of bladder tumors, cystoscopic biopsies, and cystectomy specimens. The histopathological examination followed the WHO 2022 classification of urinary bladder tumors and the American Joint Committee on Cancer eighth edition staging. Clinical data, including age, gender, cystoscopic findings, and presenting symptoms, were correlated with histopathological diagnoses to explore the spectrum of bladder lesions. Results Neoplastic lesions predominated, constituting 92.3% of cases, with urothelial carcinoma comprising 83.33% of these cases. Among neoplastic lesions, invasive high-grade urothelial carcinoma (36.7%) and non-invasive low-grade papillary urothelial neoplasm (20.0%) were the most frequently observed subtypes. Non-neoplastic lesions accounted for 7.7%, including various forms of cystitis. Hematuria was the predominant presenting symptom (81.5%), while cystoscopic examinations revealed that most lesions were situated in the lateral bladder wall. High-grade urothelial carcinomas were mostly associated with muscularis propria invasion. Conclusion This study underscores the critical role of histopathological examination in diagnosing and managing urinary bladder diseases and distinguishing between non-neoplastic and neoplastic lesions. Urothelial carcinoma, prevalent among older age groups, often demonstrated muscle invasion indicative of high-grade tumors. Including the muscle layer in cystoscopic biopsies is crucial for an accurate diagnosis. Conversely, though less common, non-neoplastic conditions encompass various forms of cystitis. These findings highlight the importance of precise diagnostic tools such as cystoscopy and histopathological examination for the early detection and management of bladder neoplasms. Histopathological assessment offers essential prognostic guidance, aids in precise staging and grading, and directs tailored treatment strategies.

Utility of the United Kingdom National Health Services Breast Screening Program Diagnostic Protocol in Fine-needle Aspiration Cytology with Cell Block Preparation in Cases of Palpable Breast Lumps: A Reliable, Fast, and Accurate Diagnostic Method for the Assessment of Breast Lumps with Histopathologic Correlation.

Introduction: A palpable breast lump is a common diagnostic problem for clinicians and surgeons. Fine-needle aspiration cytology (FNAC) has many advantages such as less cost, less sample processing time, less pain, less chance of hematoma, and less discomfort. FNAC with cell block preparation further increased both sensitivity and specificity by nearly 100%. With the cell block preparation, we can also use newer tests like estrogen receptor-progesterone receptor-human epidermal growth factor receptor 2. Aims: The aim of this study was to derive conclusions about the correlation, including sensitivity, specificity, positive and negative predictive values (NPVs), and the diagnostic accuracy of FNAC, with or without cell blocks, compared to the final histopathology in cases of palpable breast masses. Materials and Methods: A cross-sectional prospective study was conducted after getting approval from the Human Ethics Research Committee from January 2018 to December 2019, which included 65 patients. Patients diagnosed clinically for breast lumps who underwent diagnostic FNAC with cell block, followed by a histopathological examination at our hospital, were included in the study. Results: FNAC without cell block sensitivity, specificity, positive predictive value (PPV), NPV, efficiency rate, and diagnostic accuracy are 91.3%, 100%, 100%, 90.1%, 86.2%, and 96.5%, respectively. FNAC with cell block sensitivity, specificity, PPV, NPV, efficiency rate, and diagnostic accuracy are all 100%. All of our results beat the standard estimate. Conclusions: Fine-needle aspiration cytology is a patient-friendly, easy, reliable, repeatable, and simple diagnostic test. Whenever it is combined with cell block preparation, improves the accuracy of FNAC diagnosis which is more accurate and comparable to golden-standard biopsy with histopathology examination.

Prevailing parasitic diseases affecting Oreochromis aureus in Lake Burullus.

Lake Burullus is an important source of fish production in Egypt; it produces 20.5% of the Egyptian fisheries' production. There is intense controversy about the heavy metal pollution in Burullus water and its effects on fish health and safety for human consumption. Heavy metals represent a major concern for aquatic life and could negatively affect fish health. Agricultural and industrial water drainage represents a considerable part of the lake water supply. The present work was conducted to determine heavy metal concentrations in lake water and blue tilapia Oreochromis aureus musculature. Water samples were collected from six locations to determine cadmium, copper, lead, zinc and iron. Sixty O. aureus fish samples were also collected from the same sampling points to assess the prevalent parasites infesting fish and to determine the heavy metal (Cd, Cu, Pb, Zn and Fe) concentrations in fish musculature then study the relationship between heavy metals concentration and prevailing fish parasites. Results indicated that 53.34% of the examined fish were infested with encysted metacercaria. Centrocestus formosanus, Prohemistomum vivax, and Euclinostomum heterostomum were retrieved from gills, musculature, hepatopancreas and the posterior kidney. The parasitic intensity in fish tissues was between 1 and 9 cyst g-1. Centrocestus formosanus was identified using the polymerase chain reaction in the gill tissues of 16 fish. The gill parasitic copepod Lamproglena monodi was identified in one fish. Degenerative changes such as thickening, corrugation, and destruction of gill filament are the most dominant pathological changes in infested fish gills. Heavy metal concentrations in water samples were at normal levels, except for copper and iron in the southern part of the lake. All heavy metals in fish musculature were below the permissible limits. The parasitic infestation was more dominant in the northern part of the lake than in the southern region; this could be due to elevated copper concentration in the southern part of the lake that could negatively affect the survival of the first intermediate host and parasite cercaria. In conclusion, captured fish from Lake Burullus were safe for human consumption, and heavy metal pollution in lake water does not represent a severe risk.

Agreement between frozen section and histopathology to detect malignancy in adnexal masses according to size and morphology by ultrasound.

Objective: Management of suspect adnexal masses involves surgery to define the best treatment. Diagnostic choices include a two-stage procedure for histopathology examination (HPE) or intraoperative histological analysis - intraoperative frozen section (IFS) and formalin-fixed and paraffin-soaked tissues (FFPE). Preoperative assessment with ultrasound may also be useful to predict malignancy. We aimed at determining the accuracy of IFS to evaluate adnexal masses stratified by size and morphology having HPE as the diagnostic gold standard. Methods: A retrospective chart review of 302 patients undergoing IFS of adnexal masses at Hospital de Clínicas de Porto Alegre, between January2005 and September2011 was performed. Data were collected regarding sonographic size (≤10cm or >10cm), characteristics of the lesion, and diagnosis established in IFS and HPE. Eight groups were studied: unilocular lesions; septated/cystic lesions; heterogeneous (solid/cystic) lesions; and solid lesions, divided in two main groups according to the size of lesion, ≤10cm or >10cm. Kappa agreement between IFS and HPE was calculated for each group. Results: Overall agreement between IFS and HPE was 96.1% for benign tumors, 96.1% for malignant tumors, and 73.3% for borderline tumors. Considering the combination of tumor size and morphology, 100% agreement between IFS and HPE was recorded for unilocular and septated tumors ≤10cm and for solid tumors. Conclusion: Stratification of adnexal masses according to size and morphology is a good method for preoperative assessment. We should wait for final HPE for staging decision, regardless of IFS results, in heterogeneous adnexal tumors of any size, solid tumors ≤10cm, and all non-solid tumors >10cm.

Poorly Differentiated Thyroid Carcinoma in a 19-Year-Old Young Female Patient: A Case Report.

Poorly differentiated thyroid carcinoma (PDTC) is a rare type of thyroid carcinoma that develops from follicular epithelial cells. In terms of morphology and prognosis, PDTC falls between well-differentiated thyroid carcinoma (WDTC) and anaplastic thyroid carcinoma (ATC). The spectrum of malignant thyroid tumors originating from follicles ranges from the fatal ATC at one end to the indolent WDTC at the other. We present a case of a 19-year-old female patient complaining of swelling on the right side of the neck. Computed tomography revealed a solid cystic lesion within the right lobe of the thyroid gland. The diagnosis of PDTC was made through histopathological examination. In this case, we evaluated the histological characteristics of the right lobe of the thyroid gland and presented a case report of PDTC in a young female.

Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation.

Machine Learning (ML) has evolved beyond being a specialized technique exclusively used by computer scientists. Besides the general ease of use, automated pipelines allow for training sophisticated ML models with minimal knowledge of computer science. In recent years, Automated ML (AutoML) frameworks have become serious competitors for specialized ML models and have even been able to outperform the latter for specific tasks. Moreover, this success is not limited to simple tasks but also complex ones, like tumor segmentation in histopathological tissue, a very time-consuming task requiring years of expertise by medical professionals. Regarding medical image segmentation, the leading AutoML frameworks are nnU-Net and deepflash2. In this work, we begin to compare those two frameworks in the area of histopathological image segmentation. This use case proves especially challenging, as tumor and healthy tissue are often not clearly distinguishable by hard borders but rather through heterogeneous transitions. A dataset of 103 whole-slide images from 56 glioblastoma patients was used for the evaluation. Training and evaluation were run on a notebook with consumer hardware, determining the suitability of the frameworks for their application in clinical scenarios rather than high-performance scenarios in research labs.

Artificial Intelligence System for Automated Breast Cancer Detection in Pathology in Burkina Faso: Methodology Overview.

The introduction of artificial intelligence (AI) in breast cancer diagnosis in Burkina Faso represents a significant advancement in the field of healthcare. Faced with the public health issue posed by breast cancer, this study focuses on the use of AI to improve early and accurate detection of this disease from histopathological images. For the implementation of the system, we utilized a customized architecture tailored to our context where image quality is low, based on the convolutional neural networks algorithm from the Keras library of TensorFlow. Subsequently, we developed a platform to facilitate its use. This article aims to present the methodology that was used and the results obtained.

An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images.

The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image analysis offers crucial data for the clinical diagnosis of colorectal cancer. Currently, deep learning techniques are applied to enhance cancer classification and tumor localization in histopathological image analysis. Moreover, traditional deep learning techniques might loss integrated information in the image while evaluating thousands of patches recovered from whole slide images (WSIs). This research proposes a novel colorectal cancer detection network (CCDNet) that combines coordinate attention transformer with atrous convolution. CCDNet first denoises the input histopathological image using a Wiener based Midpoint weighted non-local means filter (WMW-NLM) for guaranteeing precise diagnoses and maintain image features. Also, a novel atrous convolution with coordinate attention transformer (AConvCAT) is introduced, which successfully combines the advantages of two networks to classify colorectal tissue at various scales by capturing local and global information. Further, coordinate attention model is integrated with a Cross-shaped window (CrSWin) transformer for capturing tiny changes in colorectal tissue from multiple angles. The proposed CCDNet achieved accuracy rates of 98.61% and 98.96%, on the colorectal histological image and NCT-CRC-HE-100 K datasets correspondingly. The comparison analysis demonstrates that the suggested framework performed better than the most advanced methods already in use. In hospitals, clinicians can use the proposed CCDNet to verify the diagnosis.

Reconsidering Routine Histopathological Examination of Gallbladder Specimens in Cholecystectomy: Optimizing Clinical Practice and Resource Management.

Introduction Cholecystectomy, the surgical removal of the gallbladder, is a common procedure worldwide. Despite no visible anomalies, routine histopathological examination (HPE) of gallbladder specimens post-surgery is standard practice to exclude pathologies, notably gallbladder cancer (GBC). Incidence rates of GBC vary geographically and ethnically. Surgical intervention is recommended for advanced GBC stages, while early stages may require cholecystectomy alone. Although rare, GBC and bile duct cancers pose increased risks in certain demographics, such as women and individuals over 65. Routine HPE practices vary globally based on resource availability and GBC incidence. This study assesses the necessity of routine HPE by evaluating the selective processing of gallbladder specimens suspected of GBC, prioritizing patient safety. Materials and methods This retrospective cohort study conducted at Redland Hospital, a district general hospital in Australia, investigated the necessity of routine HPE for excised gallbladder specimens. Adhering to routine HPE policy, the study encompassed all elective and emergency cholecystectomies performed from January 2023 to December 2023, excluding pediatric cases, concurrent surgical procedures, and those with suspected malignancy. Demographic data, surgery indications, intraoperative findings, histopathological results, and incidental gallbladder cancer (IGC) outcomes were analyzed. Pathology reports and case documentation were reviewed for cancerous pathology indicators. Results Over the one-year study period from January 2023 to December 2023, a total of 266 gallbladder specimens were subjected to HPE post-cholecystectomy. Of these, 201 were female and 65 were male, yielding a male-to-female ratio of 3:1. Elective cholecystectomy was performed on 56.4% (150) of patients, while 43.6% (116) underwent emergency procedures. Laparoscopic cholecystectomy (LC) was the primary surgical approach, except for one case requiring conversion to an open procedure. None of the patients exhibited GBC; however, 3.3% (9) displayed premalignant histopathological features in their specimens. Conclusion In conclusion, adopting a selective approach, where only gallbladder specimens with macroscopic abnormalities undergo HPE, seems prudent, especially in regions with low GBC incidence. Our study, which revealed no cases of GBC, supports this approach. It not only reduces the risk of missing incidental carcinoma in clinically unsuspected cases but also proves cost-effective and reduces the histopathology department workload without compromising patient outcomes. Therefore, we advocate for routine macroscopic examination of gallbladder specimens for abnormalities before HPE submission, particularly in cholecystectomy patients with gallstone disease.

Histopathological and Immunohistochemical Study of Acute Tubular Injury in Native Kidney Biopsy.

Background: Acute tubular injury (ATI) is a common diagnosis on renal biopsy. There are no accepted parameters to assess the severity of injury or predict recovery. An objective histologic grading system would be of immense value in clinical practice. The macrophage response to injury involves the MI phenotype which is proinflammatory and M2 which is prorepair. The study of these macrophages could aid in studying the severity and the recovery. Materials and Methods: A total of 58 native kidney biopsies with features of ATI and a minimum follow-up of 12 weeks were graded into mild, moderate and severe, using scores for simplification, sloughing, and mitosis. These scores and the density of macrophages stained with CD68, CD163, and HLA-DR were correlated with serum creatinine at presentation and with recovery. The effect of chronicity index as measured by glomerulosclerosis, tubular atrophy, and interstitial fibrosis and of co-morbidities of age, hypertension, and diabetes on the recovery pattern was also studied. Results: All three histologic scores and the grades of ATI showed positive correlation with the serum creatinine level. The densities of CD 68 + and CD163 + macrophages also showed a significant correlation with serum creatinine level. However, none of these these histological features nor the macrophage densities predicted clinical recovery. Age >60 years, hypertension, diabetes, and chronicity score on biopsy were indicators of partial and delayed recovery. Conclusion: The histopathological semiquantitative scoring system can be used routinely to grade ATI. However none of the studied parameters predicted recovery.

Diagnostic accuracy of carotid plaque magnetic resonance imaging compared to histopathology in symptomatic carotid artery stenosis.

INTRODUCTION: Vulnerable plaques have been shown to predict ipsilateral cerebral ischemic events and identifying them leads to appropriate secondary stroke prevention strategies. We evaluated the diagnostic accuracy of MR carotid plaque imaging in identifying plaque vulnerability when compared with histopathological findings in patients with symptomatic carotid stenosis who underwent carotid endarterectomy (CEA). METHODS: A prospective cohort of forty-five consecutive patients with moderate to severe symptomatic carotid stenosis who underwent CEA at a tertiary Indian hospital had 3 T MRI plaque imaging with multi-parametric protocol between November 2021 and December 2022. Images were analyzed by a vascular radiologist blinded to histopathological data. High-risk plaque characteristics such as lipid rich necrotic core (LRNC), intraplaque hemorrhage (IPH), thin fibrous cap and ulceration were assessed and correlated with histopathological findings as per American Heart Association (AHA) classification using Cohen's kappa statistics to obtain diagnostic accuracies. RESULTS: Of the 45 patients, 38(84 %) were males. The mean age was 65 ± 7.7 years and mean duration to CEA from the most recent event was 57 days (57 ± 46 days). A significant correlation between MR plaque imaging and histopathology was noted for IPH (sensitivity-91 %, specificity-86 %, κ = 0.774, p < 0.001), LRNC (sensitivity-92.1 %, specificity-85.7 %, κ = 0.697, p < 0.001), and plaque ulceration (sensitivity-84.6 %, specificity-78.1 %, κ = 0.563, p < 0.001). MRI had an overall sensitivity and specificity of 92.3 % and 84.2 % respectively (κ = 0.77, p < 0.001) in discriminating high risk plaques. CONCLUSION: MR plaque imaging shows a very good correlation with histopathology and can identify unstable high-risk plaques with high accuracy. This may have implication in selection of patients for carotid revascularization in symptomatic carotid stenosis.

Acetazolamide suppresses the progression of hepatocellular carcinoma induced by diethylnitrosamine in Wistar albino rats.

Hepatocellular carcinoma (HCC) continues to be the most prevalent type of liver cancer worldwide. Diethylnitrosamine (DEN)-induced HCC is an extensively used hepatic cancer model in experimental animals. Acetazolamide (AZA) is a carbonic anhydrase enzyme inhibitor. This study aimed to assess the therapeutic mechanism of AZA against DEN-induced HCC. Thirty male Wistar albino rats were divided equally into three groups. Group I (C): control group, Group II (HCC): DEN-induced HCC, and Group III (HCC/AZA): AZA-treated HCC. Verification of the HCC induced by DEN was confirmed by elevated liver enzymes' activities, and increased α-fetoprotein (AFP) levels, as well as distinct liver architecture changes. On the other hand, the AZA-treated HCC group experienced decreases in the activities of serum liver enzymes and AFP levels, as well as, regulated liver architecture. Additionally, it downregulated p-p38 MAPK/p-JNK1/JNK2/p-C-Jun/p-NF-κB p65 protein expressions. Moreover, it ameliorated autophagy by controlling the expression of the p-AMPK/p-mTOR1/LC3 I/II proteins. Furthermore, it downregulated the relative gene expressions of carbonic anhydrase-IX (CAIX) and hexokinase-II (HKII). Histopathological examination of AZA-treated HCC liver tissues supported these findings. Conclusion: AZA provides a new dimension in ameliorating experimentally induced HCC through regulation of hepatic biomarkers, antioxidant status, inflammatory markers, and autophagy, mediated by amelioration of CAIX and HKII gene expressions.

Evidence based treatment for lupus nephritis: present perspectives and challenges.

Systemic lupus erythematosus (SLE) is a complex autoimmune disease known for its high heterogeneity among individuals, which affects various organs including the kidneys. Lupus nephritis (LN) is a frequent and life-threatening manifestation of the disease, with up to 50% of patients developing kidney involvement. Classification of renal involvement in lupus is based on specific histopathological findings, guiding therapeutical decisions. Immunosuppressive therapy, particularly glucocorticoids combined with cyclophosphamide or mycophenolate mofetil, has been the mainstay of treatment for many years, while rates of complete remission have not changed dramatically. Despite advancements in therapy, in an important proportion of patients LN leads to end-stage kidney disease (ESKD). Emerging therapies including belimumab, voclosporin, and obinutuzumab offer promising results in improving renal outcomes, especially in refractory or relapsing disease. Maintenance therapy is crucial to prevent disease flares and preserve renal function. Supportive measures including lifestyle modifications and non-immunosuppressive pharmacological interventions are nowadays also essential in managing LN. This review emphasizes recent advances of therapy and challenges regarding treatment optimization with strategies to improve long-term outcomes.

Improving quality control of whole slide images by explicit artifact augmentation.

The problem of artifacts in whole slide image acquisition, prevalent in both clinical workflows and research-oriented settings, necessitates human intervention and re-scanning. Overcoming this challenge requires developing quality control algorithms, that are hindered by the limited availability of relevant annotated data in histopathology. The manual annotation of ground-truth for artifact detection methods is expensive and time-consuming. This work addresses the issue by proposing a method dedicated to augmenting whole slide images with artifacts. The tool seamlessly generates and blends artifacts from an external library to a given histopathology dataset. The augmented datasets are then utilized to train artifact classification methods. The evaluation shows their usefulness in classification of the artifacts, where they show an improvement from 0.10 to 0.01 AUROC depending on the artifact type. The framework, model, weights, and ground-truth annotations are freely released to facilitate open science and reproducible research.

Multidisciplinary cancer disease classification using adaptive FL in healthcare industry 5.0.

Emerging Industry 5.0 designs promote artificial intelligence services and data-driven applications across multiple places with varying ownership that need special data protection and privacy considerations to prevent the disclosure of private information to outsiders. Due to this, federated learning offers a method for improving machine-learning models without accessing the train data at a single manufacturing facility. We provide a self-adaptive framework for federated machine learning of healthcare intelligent systems in this research. Our method takes into account the participating parties at various levels of healthcare ecosystem abstraction. Each hospital trains its local model internally in a self-adaptive style and transmits it to the centralized server for universal model optimization and communication cycle reduction. To represent a multi-task optimization issue, we split the dataset into as many subsets as devices. Each device selects the most advantageous subset for every local iteration of the model. On a training dataset, our initial study demonstrates the algorithm's ability to converge various hospital and device counts. By merging a federated machine-learning approach with advanced deep machine-learning models, we can simply and accurately predict multidisciplinary cancer diseases in the human body. Furthermore, in the smart healthcare industry 5.0, the results of federated machine learning approaches are used to validate multidisciplinary cancer disease prediction. The proposed adaptive federated machine learning methodology achieved 90.0%, while the conventional federated learning approach achieved 87.30%, both of which were higher than the previous state-of-the-art methodologies for cancer disease prediction in the smart healthcare industry 5.0.

Safety evaluation of Indocalamus Iatifolius McClure leaves based on acute toxicity, harmful metals, and 9 organochlorine residue determination.

To investigate the safety of Indocalamu Iatifolius McClur leaves sold in the market, a study was conducted using Indocalamu Iatifolius McClur leaves randomly collected from an online store and a large supermarket. Acute toxicity experiments were performed on mice, and their body weight was monitored for 14 days after administration. After the observation period, blood samples were collected for biochemical analysis, and organ pathology was examined. Then, the content of copper (Cu), lead (Pb), cadmium (Cd), mercury (Hg), arsenic (As), and the residues of nine organochlorine pesticides in Indocalamu Iatifolius McClur leaves were measured according to the National Food Safety Standard (GB/T5009-2003) and the pesticide residue determination methods in the 2020 edition of the Chinese Pharmacopoeia. The results showed that the mice in the Indocalamu Iatifolius McClur leaves (online store) group experienced mortality and severe liver and lung damage. The levels of lead, cadmium, mercury, arsenic, and the nine organochlorine pesticides met the relevant standards and regulations. However, the copper content in the Indocalamu Iatifolius McClur leaves (online store) group was nearly 80 times higher than that in the supermarket group. Mice in the Indocalamu Iatifolius McClur leaves (supermarket) group remained healthy without any abnormalities, and the levels of harmful metals and organochlorine pesticides complied with the standards and regulations. The study suggests the need for regulatory policies and safety standards for the sale of Indocalamu Iatifolius McClur leaves.

Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images.

BACKGROUND: Stratipath Breast is a CE-IVD marked artificial intelligence-based solution for prognostic risk stratification of breast cancer patients into high- and low-risk groups, using haematoxylin and eosin (H&E)-stained histopathology whole slide images (WSIs). In this validation study, we assessed the prognostic performance of Stratipath Breast in two independent breast cancer cohorts. METHODS: This retrospective multi-site validation study included 2719 patients with primary breast cancer from two Swedish hospitals. The Stratipath Breast tool was applied to stratify patients based on digitised WSIs of the diagnostic H&E-stained tissue sections from surgically resected tumours. The prognostic performance was evaluated using time-to-event analysis by multivariable Cox Proportional Hazards analysis with progression-free survival (PFS) as the primary endpoint. RESULTS: In the clinically relevant oestrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative patient subgroup, the estimated hazard ratio (HR) associated with PFS between low- and high-risk groups was 2.76 (95% CI: 1.63-4.66, p-value < 0.001) after adjusting for established risk factors. In the ER+/HER2- Nottingham histological grade (NHG) 2 subgroup, the HR was 2.20 (95% CI: 1.22-3.98, p-value = 0.009) between low- and high-risk groups. CONCLUSION: The results indicate an independent prognostic value of Stratipath Breast among all breast cancer patients, as well as in the clinically relevant ER+/HER2- subgroup and the NHG2/ER+/HER2- subgroup. Improved risk stratification of intermediate-risk ER+/HER2- breast cancers provides information relevant for treatment decisions of adjuvant chemotherapy and has the potential to reduce both under- and overtreatment. Image-based risk stratification provides the added benefit of short lead times and substantially lower cost compared to molecular diagnostics and therefore has the potential to reach broader patient groups.