Implementing Formative Assessment in Human Anatomy Practical Sessions: Medical Students' Perception and Effect on Final Exam Performance.

Background: Formative assessment with feedback is part of the assessment program in medical education to improve students' learning. Limited research has focused on its application and impact on practical anatomy education. Methods: This study aimed to examine medical students' perceptions of formative assessment in practical anatomy sessions of body systems-based educational units and explore its influence on final practical exam performance. A descriptive, cross-sectional study was conducted. Data was collected from 173 Year 2 medical students through a survey that addressed their perception of process and importance of formative assessment and feedback. The survey employed a 5-point Likert scale. Two open-ended questions were appended at the end of the survey. Students' performance in Unit 3 (where formative assessment was conducted) was compared to their performance in Unit 2 (where no formative assessment was conducted) and with the performance of the previous academic year's students in Unit 3 (where no formative assessment was conducted). Descriptive statistics were used. The level of statistical significance was set at p-value < 0.05. Responses to open-ended questions (qualitative data) were counted, categorized as themes, and presented as frequencies and percentages. Results: The survey showed high internal consistency, and its validity was established through exploratory factor analysis. Results showed that the mean mark for the unit with formative assessment and feedback was significantly higher than for the units without formative assessment and feedback. Students showed positive perception of formative assessment and feedback conducted after practical anatomy sessions. They reported useful insights regarding the benefits they gained from formative assessment and feedback as well as constructive suggestions for future improvements. Conclusion: The study indicates that students positively perceived formative assessment and feedback sessions after practical anatomy sessions. Findings also refer to a positive effect of formative assessment on students' performance in summative practical assessment in anatomy.

Prenatal aripiprazole induces alterations of rat placenta: a histological, immunohistochemical and ultrastructural study.

Antipsychotic drugs (APDs) are used to treat many psychiatric illnesses as schizophrenia. Typical antipsychotic drugs (TAPDs) are being used; however, they have many side effects. Atypical antipsychotic drugs (AAPDs) are newer medications with known fewer side effects. Aripiprazole (ARI) is an AAPD, recommended by healthcare providers, even during pregnancy. It can cross the placental barrier and enter fetal circulation, so it might be possible that ARI can adversely impair normal placental development and growth, if it is given prenatally. ARI was applied orally to pregnant female rats in two doses (3& 6 mg/kg body weight). On gestation day 20, the mothers were sacrificed, and the placentas were removed and processed for general histological and electron microscopic evaluations. Immunohistochemistry was done using anti-PCNA (proliferating cell nuclear antigen), anti-Bax (for apoptosis) and anti-vascular endothelial growth factor alpha (VEGFA). Morphological evaluation revealed degenerative changes in the placenta as dark nuclei, vacuolization, and cyst formation. Ultra-structurally, there was degeneration of cellular components including organelles and nuclei. These changes were found in different cells of the basal and labyrinth zones and were dose dependent. Immunohistochemistry revealed upregulation of Bax and VEGFA and downregulation of PCNA. Prenatal administration of the AAPD, ARI to pregnant female rats resulted in histological changes in the placenta. Additionally, there was a decrease in cellular proliferation and increase in apoptosis, and vascular impairment. This indicates placental atrophy and dysgenesis and might suggest possible teratogenic effects to ARI, which needs further evaluation.

Evaluation of Diabetes Hotline Service Implemented During the COVID-19 Pandemic: A Dynamic Adaptation.

Background: The coronavirus disease 19 (COVID-19) pandemic presented major challenges for people living with diabetes. People with diabetes were identified as being at increased risk of serious illness from COVID-19. The lockdown and preventive measures, including social distancing measures, implemented worldwide to limit the spread of COVID-19 had negatively impacted access to diabetes care, including self-management services, challenging the way modern medicine had been practiced for decades. This article aims to shed light on the implementation and evaluation of the Diabetes hotline service run by trained diabetes patient educators during the pandemic in Qatar. Methods: The logic model is utilized to showcase the implemented strategies/activities and the output monitoring process. An online survey among hotline users was undertaken to gather feedback on patients' overall experience of using the service and physician feedback. Results: Of the 464 patients surveyed, over 92% stated that they would recommend the hotline service to others, and over 90% indicated that they considered the hotline a trusted and reliable resource for diabetes education and advice. Conclusion: It is expected that the lessons learned from maintaining health care delivery services during the COVID-19 pandemic have created new ways of providing standard care and meeting the needs of people with diabetes. Future research should study the clinical outcomes for patients who benefited from the hotline services and the impact on the well-being of people with diabetes.

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification.

The study utilizes osteosarcoma hematoxylin and the Eosin-stained image dataset, which is unevenly dispersed, and it raises concerns about the potential impact on the overall performance and reliability of any analyses or models derived from the dataset. In this study, a deep-learning-based convolution neural network (CNN) and adapted heterogeneous ensemble-learning-based voting classifier have been proposed to classify osteosarcoma. The proposed methods can also resolve the issue and develop unbiased learning models by introducing an evenly distributed training dataset. Data augmentation is employed to boost the generalization abilities. Six different pre-trained CNN models, namely MobileNetV1, Mo-bileNetV2, ResNetV250, InceptionV2, EfficientNetV2B0, and NasNetMobile, are applied and evaluated in frozen and fine-tuned-based phases. In addition, a novel CNN model and adapted heterogeneous ensemble-learning-based voting classifier developed from the proposed CNN model, fine-tuned NasNetMobile model, and fine-tuned Efficient-NetV2B0 model are also introduced to classify osteosarcoma. The proposed CNN model outperforms other pre-trained models. The Kappa score obtained from the proposed CNN model is 93.09%. Notably, the proposed voting classifier attains the highest Kappa score of 96.50% and outperforms all other models. The findings of this study have practical implications in telemedicine, mobile healthcare systems, and as a supportive tool for medical professionals.

Enhanced brain tumor classification using graph convolutional neural network architecture.

The Brain Tumor presents a highly critical situation concerning the brain, characterized by the uncontrolled growth of an abnormal cell cluster. Early brain tumor detection is essential for accurate diagnosis and effective treatment planning. In this paper, a novel Convolutional Neural Network (CNN) based Graph Neural Network (GNN) model is proposed using the publicly available Brain Tumor dataset from Kaggle to predict whether a person has brain tumor or not and if yes then which type (Meningioma, Pituitary or Glioma). The objective of this research and the proposed models is to provide a solution to the non-consideration of non-Euclidean distances in image data and the inability of conventional models to learn on pixel similarity based upon the pixel proximity. To solve this problem, we have proposed a Graph based Convolutional Neural Network (GCNN) model and it is found that the proposed model solves the problem of considering non-Euclidean distances in images. We aimed at improving brain tumor detection and classification using a novel technique which combines GNN and a 26 layered CNN that takes in a Graph input pre-convolved using Graph Convolution operation. The objective of Graph Convolution is to modify the node features (data linked to each node) by combining information from nearby nodes. A standard pre-computed Adjacency matrix is used, and the input graphs were updated as the averaged sum of local neighbor nodes, which carry the regional information about the tumor. These modified graphs are given as the input matrices to a standard 26 layered CNN with Batch Normalization and Dropout layers intact. Five different networks namely Net-0, Net-1, Net-2, Net-3 and Net-4 are proposed, and it is found that Net-2 outperformed the other networks namely Net-0, Net-1, Net-3 and Net-4. The highest accuracy achieved was 95.01% by Net-2. With its current effectiveness, the model we propose represents a critical alternative for the statistical detection of brain tumors in patients who are suspected of having one.

Pomegranate (Punica granatum) peel alleviates lithium-induced alterations in the thyroid gland of rats by modulating apoptosis and oxidative stress.

Lithium carbonate (LC) is known to alter thyroid gland function. Pomegranate (PG) is a fruit with multiple antioxidant and antiapoptotic properties. Here, we studied the effect of PG on LC-induced morphological and functional alterations in the thyroid glands of rats. Rats were divided into four groups: control, lithium, lithium-PG, and PG. After 8 weeks, the rats were sacrificed, the levels of thyroid hormones and oxidative stress markers were estimated, and thyroid tissues were subjected to histological, immunohistochemical, and ultrastructural evaluations. Compared to the control group, the lithium group showed significant changes in thyroid hormone levels, greater expression of the oxidant marker malondialdehyde, and lower expression of the antioxidant marker superoxide dismutase (SOD). Most of these changes improved upon PG treatment. Histological evaluation of the thyroid in the lithium group showed disorganization and follicle involution. Additionally, the periodic acid Schiff staining intensity and SOD immunoreactivity declined significantly, whereas the collagen fiber content and Bax immunoreactivity increased. The follicular ultrastructure showed marked distortion. These changes were mitigated upon PG treatment. In conclusion, PG alleviated the morphological and functional changes in the thyroid glands induced by LC by modulating apoptosis and oxidative stress.

Caffeine protects against hippocampal alterations in type 2 diabetic rats via modulation of gliosis, inflammation and apoptosis.

Type 2 diabetes (T2D) is implicated in the injury of several organs, including the brain resulting in neuronal damage, which may lead to cognitive impairment and dementia. Additionally, it is linked to inflammation, cytokine release, apoptosis and various degenerative conditions. Astrocytes and microglia might have a role in mediating these processes. Caffeine, a psychoactive beverage, has been shown to reduce the risk of cognitive and memory impairment. This study proposes anti-inflammatory and anti-apoptotic role of caffeine, which can be mediated via microglia/astrocyte activation and overexpression of pro-inflammatory molecules. T2D was induced in rats by feeding with high fat high sugar diet and injecting a single low dose streptozotocin (STZ) intraperitoneally. Other diabetic rats were given caffeine orally (in two doses) for 5 weeks, starting 1 week before STZ injection. Measurement of plasma cytokines, TNFα and IL6, was performed using enzyme-linked immunosorbent assay (ELISA) technique. After sacrificing animals, brains were obtained and processed for histological evaluation. Immunohistochemistry was also performed using the following primary antibodies, anti-astrocyte marker GFAP, anti-microglia marker CD11b and apoptotic marker (anti-cleaved caspase-3). There was upregulation of IL6 and TNF-α in diabetic rats. Additionally, histological evaluation of the hippocampus of diabetic rats revealed cellular degeneration. There was increased immunostaining of GFAP, CD11b and cleaved caspase-3 in diabetic rats. Pretreatment with caffeine to diabetic rats, resulted in improvement of structural changes and decrease in cytokine levels and immuno-markers, expression, and this was in a dose-dependent manner. In conclusion, caffeine had an ameliorative role in enhancing hippocampal degenerative changes in T2D.

Sex disparities in food consumption patterns, dietary diversity and determinants of self-reported body weight changes before and amid the COVID-19 pandemic in 10 Arab countries.

Background: The COVID-19 pandemic along with its confinement period boosted lifestyle modifications and impacted women and men differently which exacerbated existing gender inequalities. The main objective of this paper is to assess the gender-based differentials in food consumption patterns, dietary diversity and the determinants favoring weight change before and amid the COVID-19 pandemic among Arab men and women from 10 Arab countries. Methods: A cross-sectional study was conducted based on a convenience sample of 12,447 households' family members (mean age: 33.2 ± 12.9; 50.1% females) and information from participants aged 18 years and above was collected about periods before and during the pandemic. Results: Findings showed that, during the COVID-19 period, the dietary diversity, declined by 1.9% among females compared to males (0.4%) (p < 0.001) and by 1.5% among overweight participants (p < 0.001) compared to their counterparts. Conclusions: To conclude, gender-sensitive strategies and policies to address weight gain and dietary diversity during emergent shocks and pandemics are urgently needed in the region.

A Delphi consensus study introducing a Problem And attRibutes-bAsed DIabetes self-manaGeMent (PARADIGM) intervention for patients with type 2 diabetes.

AIM: Encouraging patients to improve their self-management behavior based on a strict definition of the intervention is important for a standardized delivery but, until recently, there was no consensus on the core attributes that define such an intervention. The purpose of this study is to generate a core-attribute based and stakeholder-informed problem-based curriculum for promotion of type 2 diabetes self-management structured around five core attributes derived from a previous concept analysis that defined the intervention. METHODS: Using a Delphi process for consensus achievement, physicians, clinical epidemiologists and allied health care professionals completed eleven rounds of online meetings over 6 months. RESULTS: Core self-management skills were identified by consensus for each of the five attributes and then used to design a model case and interactions of a problem-based self-management education intervention for delivery in a health care setting. Five model cases and associated interactions were developed by consensus for delivery in group-based and problem-based learning sessions. CONCLUSIONS: The final structured curriculum will be useful to inform and standardize diabetes self-management based on a clear conceptual definition of the intervention and can thus help make the latter more effective tools for encouraging persons with type 2 diabetes to self manage their condition.

Perspectives of Persons With Type 2 Diabetes Toward Diabetes Self-Management: A Qualitative Study.

Background. The global increase in type 2 diabetes (T2D) poses a significant public health challenge worldwide. Due to the chronic and complex nature of the disease, management does not depend on pharmacotherapy alone; rather, a comprehensive medical and self-management plan is required. Diabetes Self-Management Education programs should address diabetes-specific behaviors and be grounded in patients' perceptions of their disease and its consequences. Aim. The study aims to understand perceptions of diabetes self-management (DSM) among persons of different nationalities with T2D living in Qatar. Method. A phenomenological qualitative study was implemented using four focus group interviews using Triandis Interpersonal Behavior Model to understand factors influencing DSM perceptions and behaviors. Therefore, deductive content analysis was used, also inductive content analysis used to find new emerging themes. Twenty-nine participants with T2D of 12 different nationalities were recruited. Results. Content analyses revealed that participants were mainly motivated to manage their diabetes by fear of future health complications-and the resulting impact on their families-triggered by witnessing these complications on other family members and friends. Factors that influenced DSM included cultural factors such as food content and holidays' customs, weather conditions, psychological distress, and social factors such as lack of family support. Furthermore, access to healthy food, number of working hours and time, and cost of DSM supplies were found to be among the barriers to DSM. Conclusion. Understanding and considering patients' perspectives is a core component of culturally competent and evidence-based DSM programs, and it should be considered in any DSM program.

Qatar Diabetes Mobile Application Trial (QDMAT): an open-label randomised controlled trial to examine the impact of using a mobile application to improve diabetes care in type 2 diabetes mellitus-a study protocol.

BACKGROUND: Mobile health (mHealth) is increasingly advocated for diabetes management. It is unclear if mobile applications are effective in improving glycaemic control, clinical outcomes, quality of life and overall patient satisfaction in patients with type 2 diabetes (T2DM). A new mobile application was specifically built for people with T2DM with the help of the local expertise. The objective of the study was to evaluate the effectiveness of the mobile app. METHODS: The planned study is an ongoing open-label randomised controlled trial in which adults living with T2DM treated with insulin will be randomised 1:1 to the use of this diabetes application versus current standard care. The primary outcome will be the difference in mean HbA1c from baseline to 6 months. Other outcome measures include anthropometric measures, hypoglycaemic events, medication adjustments, number of clinical interactions and missed appointments and patient perceptions of their disease and diabetes self-management. The study will randomise 180 subjects for assessment of the primary outcome. DISCUSSION: We hypothesise that the diabetes-specific mobile application will improve glycaemic control, increase patient empowerment for self-management of diabetes and improve interaction between patients and healthcare providers. If the Qatar Diabetes Mobile Application Trial (QDMAT) demonstrates this, it will inform clinical services for the future self-management of T2DM. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03998267 . Registered on 26 June 2019.

Ameliorative role of alpha-lipoic acid in renal cortical structural damage, induced by limb ischemia-reperfusion injury in the rat.

Ischemia-reperfusion injury is related to kidney dysfunction due to bilateral lower limb ischemia. This kidney injury may lead to acute kidney failure and mortality. Alpha-Lipoic Acid, a known antioxidant, can ameliorate kidney dysfunction and histopathology related to several etiologies. Ischemia was performed in adult male rats by bilateral femoral artery occlusion, then ischemia-reperfusion was done for 1 day and 7 days. Lipoic acid was administered to rats that had undergone ischemia-reperfusion for 7 days. The renal cortices of the kidneys of the tested groups were processed for light and electron microscopic examination. Immunohistochemical evaluation was performed using the following markers: cleaved caspase 3, inducible nitric oxide synthase, and tumor necrosis factor-alpha. There was damage to the renal cortical tubules and degeneration of podocytes and thickening of the glomerular basement membrane. Additionally, there was an increase in apoptosis and the inflammatory markers' immunoreactivity. Administration of alpha-lipoic acid resulted in improvement of the structural and immunohistochemical changes of the renal cortex. This may suggest a therapeutic rule of it and promising application for variable kidney injuries.

Towards a better understanding of self-management interventions in type 2 diabetes: A concept analysis.

OBJECTIVES: Diabetes self-management educational (DSME) interventions can vary considerably, and it is unclear what is the operational conceptualization of the ideal delivery to individuals with type 2 diabetes (T2D). DESIGN: From a search conducted concurrently we extracted and evaluated the 50 most recently published DSME intervention studies. Based on an analysis of these studies, we undertook a concept analysis using the Walker and Avant framework. RESULTS: Five attributes describing the concept were recognized and organized into two groups. Group (a): skills related attributes that included (1) decision making, (2) problem solving and (3) taking action. Group (b): information related attributes that included (4) patient-provider interaction and (5) resource utilization. CONCLUSIONS: The outcomes of this study make the operational conceptualization of the ideal DSME intervention measurable through its attributes and hence clarifies its delivery. This will improve the implementation of the key attributes in diabetes self-management intervention programs for T2D.

Towards a better understanding of self-management interventions in type 2 diabetes: A meta-regression analysis.

AIMS: Attributes that operationally conceptualize diabetes self-management education (DSME) interventions have never been studied previously to assess their impact on relevant outcomes of interest in people with type 2 diabetes (T2D). The aim of this study was to determine the impact of existing interventions classified by their delivery of skills or information related attributes on immediate (knowledge), intermediate (physical activity), post-intermediate (HbA1c), and long-term (quality of life) outcomes in people with T2D. METHODS: PubMed, Embase, PsycINFO, and Cochrane Library/Cochrane CENTRAL as well as the grey literature were searched to identify interventional studies that examined the impact of DSME interventions on the four different outcomes. Eligible studies were selected and appraised independently by two reviewers. A meta-regression analysis was performed to determine the impact of delivery of the skills- and information-related attributes on the chosen outcomes. RESULTS: 142 studies (n = 25,511 participants) provided data, of which 39 studies (n = 5278) reported on knowledge, 39 studies (n = 8323) on physical activity, 99 studies (n = 17,178) on HbA1c and 24 studies (n = 5147) on quality of life outcomes. Meta-regression analyses demonstrated that skills-related attributes had an estimated effect suggesting improvement in knowledge (SMD [standardized mean difference] increase of 0.80; P = 0.025) and that information-related attributes had an estimated effect suggesting improvement in quality of life (SMD increase of 0.96; P = 0.405). Skill- and information-related attributes did not have an estimated effect suggesting improvement in physical activity or in HbA1c. CONCLUSIONS: The study findings demonstrate that the skills and information related attributes contribute to different outcomes for people with T2D. This study provides, for the first time, preliminary evidence for differential association of the individual DSME attributes with different levels of outcome.

Induction of bacterial cystitis in female rabbits by uropathogenic Escherichia coli and the differences between the bladder dome and trigone.

This study is designed to evaluate the histological effects of uropathogenic Escherichia coli (UPEC) infection in the urinary bladder of female rabbits and compare the differences between the dome and trigone. Bacterial cystitis was induced in 13 female rabbits by transurethral inoculation of UPEC into the urinary bladder. Eight animals served as controls. Urine samples were collected by catheterization and cultured for bacterial growth after 12 and 24 hours then every 48 hours. Infection was defined as ≥(1X105) colony-forming unit/ml of UPEC in the first two urine samples. Bladder dome and trigonal specimens were examined by light and scanning electron microscopy eight days after infection. There was a sustained increase in bacterial count, with urethral bleeding and rabbit weakness suggesting bladder colonization in the 10/13 study group (77%). Infection was not demonstrated in two animals and was spontaneously cleared in the third after 48 hours. No control animals developed an infection. In infected rabbits (n = 10), the dome showed inflammatory changes including the epithelial loss or thinning, inflammatory cell infiltration, and congested blood vessels compared to controls. The trigone showed a more pronounced inflammatory response than the dome. The presence of urinary bacterial growth, infection manifestations, and inflammatory changes that were more severe in the trigone than in the dome indicate successful bacterial inoculation and induction of cystitis. This animal model can be used for clinical trials on female cystitis. Our histological findings support a possible role of trigone in the pathogenesis of urinary tract infection.

Erythropoietin Protects Against Cognitive Impairment and Hippocampal Neurodegeneration in Diabetic Mice.

Administration of erythropoietin (EPO) is neuroprotective against a variety of experimentally-induced neurological disorders. The aim was to determine if EPO protects against hippocampal neurodegeneration as well as impairment of cognition and motor performance, associated with long-term diabetes. BALB/c mice were randomly allocated between control, diabetic and EPO-treated diabetic groups. EPO-treated diabetic mice were administered EPO 0.05 U/kg/day i.p. three times/week for 10 weeks. Cognition was assessed by Morris water maze. Brain samples were processed for light microscopic evaluation of hippocampus. Controls showed gradual improvement of cognitive performance in water maze when comparing latency (p < 0.01) and distance swum to reach the platform (p = 0.001). There was a similar trend for improvement in EPO-treated diabetics (p < 0.001). Latency did not improve in diabetic animals indicating lack of learning (p = 0.79). In probe trials, controls and EPO-treated diabetics spent more time in the training quadrant than expected by chance (p < 0.001). Diabetics did not show memory recall behavior; performance was significantly worse than expected by chance (p = 0.023). In diabetics, there was neurodegeneration in hippocampus and reduction in number of granule cells (p < 0.01) in the dentate gyrus. EPO treatment improved these neurodegenerative changes and preserved numbers of granule cells (p < 0.1, compared to controls). Erythropoietin treatment is protective against cognitive deficits and hippocampal neurodegeneration in diabetic mice.

Styrene maleic acid encapsulated raloxifene micelles for management of inflammatory bowel disease.

BACKGROUND: Inflammatory bowel disease (IBD) comprises a group of disorders that manifest through chronic inflammation of the colon and small intestine. Although the exact cause of IBD is still unclear, dysfunctional immunoregulation involving overproduction of inflammatory cytokines such as TNF-α, and IL-6 have been implicated in pathogenesis. Current therapy relies on immunosuppression, cytotoxic drugs, and monoclonal antibodies against TNF-α. These classes of drugs have severe side-effects, especially when used for long duration. Our previous work with raloxifene, a selective estrogen receptor modulator, has shown that the drug, and to a greater extent its micellar formulation, has a significant suppressive effect on NF-κB, an essential immune-regulator. This finding directed the current work towards testing the anti-inflammatory and immunomodulatory effects of raloxifene using cell lines, as well as testing the potential use of the styrene maleic acid (SMA) micelles loaded with raloxifene (SMA-Ral) against dextran sulfate sodium (DSS) induced colitis in an in vivo model of IBD. RESULTS: Treatment of MCF-7 cells with TNF-α was shown to protect the cells from the cytotoxic effect of raloxifene (42 vs. 10% cell death, with TNF-α. Treating CaCo-2 cells with both free and SMA-Ral improved cell survival after exposure to 2% DDS with significantly higher protection with SMA-Ral. Treatment of U-937 with SMA-Ral and free-Ral resulted in down-regulation of TNF-α, IL-1ß, IL-6, and MIP1α, with greater inhibition of the SMA-Ral, compared to free Ral. Balb/c mice treated with raloxifene and SMA-Ral showed weight gain at 14 days, compared to the control group (122, and 115% respectively). Treatment with raloxifene prevented DSS-induced diarrhea in 6/6 of free raloxifene treated mice and in 5/6 mice treated with SMA-Ral. Control group of DSS-treated mice showed average colon length of 7.4 cm compared to 13 cm in the control group. The average colon length was 12.3 and 11.5 cm for raloxifene and SMA-Ral treated groups, respectively. Furthermore, inflammatory cytokines such as IL-6 and TNF-α were reduced in serum of animals treated with free-Ral and SMA-Ral. CONCLUSIONS: Raloxifene and its micellar formulation warrants further studies to understand their effect on the treatment of colitis. Graphical abstract SMA-Raloxifene preparation and its in vivo and in vitro effect on colitis.

Investigating the origins of somatic cell populations in the perinatal mouse ovaries using genetic lineage tracing and immunohistochemistry.

Genetic lineage tracing (or fate mapping) techniques are designed to permanently label progenitor cells of target tissues, thereby allowing delineation of the progenies of labeled cells during organogenesis. This technology has been widely used in the study of cell migration and lineage specification in various organs and organisms. Here, we describe how to apply the genetic lineage tracing model in combination with immunohistochemistry to identify the potential origins of somatic cell precursors in perinatal mouse ovaries.