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Biobanks aim to improve our understanding of health and disease by collecting and analysing diverse biological and phenotypic information in large samples. So far, biobanks have largely pursued a population-based sampling strategy, where the individual is the unit of sampling, and familial relatedness occurs sporadically and by chance. This strategy has been remarkably efficient and successful, leading to thousands of scientific discoveries across multiple research domains, and plans for the next wave of biobanks are underway. In this Perspective, we discuss the strengths and limitations of a complementary sampling strategy for future biobanks based on oversampling of close genetic relatives. Such family-based samples facilitate research that clarifies causal relationships between putative risk factors and outcomes, particularly in estimates of genetic effects, because they enable analyses that reduce or eliminate confounding due to familial and demographic factors. Family-based biobank samples would also shed new light on fundamental questions across multiple fields that are often difficult to explore in population-based samples. Despite the potential for higher costs and greater analytical complexity, the many advantages of family-based samples should often outweigh their potential challenges., (© 2024. Springer Nature Limited.)

Biobanks constitute an integral part of precision medicine. They provide a repository of biospecimens that may be used to elucidate the pathophysiology, support diagnoses, and guide the treatment of diseases. The pilot biobank of rare malignant neoplasms has been established in the context of the Hellenic Network of Precision Medicine on Cancer and aims to enhance future clinical and/or research studies in Greece by collecting, processing, and storing rare malignant neoplasm samples with associated data. The biobank currently comprises 553 samples; 384 samples of hematopoietic and lymphoid tissue malignancies, 72 samples of pediatric brain tumors and 97 samples of malignant skin neoplasms. In this article, sample collections and their individual significance in clinical research are described in detail along with computational methods developed specifically for this project. A concise review of the Greek biobanking landscape is also delineated, in addition to recommended technologies, methodologies and protocols that were integrated during the creation of the biobank. This project is expected to re‑enforce current clinical and research studies, introduce advances in clinical and genetic research and potentially aid in future targeted drug discovery. It is our belief that the future of medical research is entwined with accessible, effective, and ethical biobanking and that our project will facilitate research planning in the '‑omic' era by contributing high‑quality samples along with their associated data.

Advancing age is typically associated with declining memory capacity and increased risk of Alzheimer's disease (AD). Markers of AD such as amyloid plaques (AP) and neurofibrillary tangles (NFTs) are commonly found in the brains of cognitively average elderly but in more limited distribution than in those at the mild cognitive impairment and dementia stages of AD. Cognitive SuperAgers are individuals over age 80 who show superior memory capacity, at a level consistent with individuals 20-30 years their junior. Using a stereological approach, the current study quantitated the presence of AD markers in the memory-associated entorhinal cortex (ERC) of seven SuperAgers compared with six age-matched cognitively average normal control individuals. Amyloid plaques and NFTs were visualized using Thioflavin-S histofluorescence, 6E10, and PHF-1 immunohistochemistry. Unbiased stereological analysis revealed significantly more NFTs in ERC in cognitively average normal controls compared with SuperAgers (P < 0.05) by a difference of ~3-fold. There were no significant differences in plaque density. To highlight relative magnitude, cases with typical amnestic dementia of AD showed nearly 100 times more entorhinal NFTs than SuperAgers. The results suggest that resistance to age-related neurofibrillary degeneration in the ERC may be one factor contributing to preserved memory in SuperAgers., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic reveals a major gap in global biosecurity infrastructure: a lack of publicly available biological samples representative across space, time, and taxonomic diversity. The shortfall, in this case for vertebrates, prevents accurate and rapid identification and monitoring of emerging pathogens and their reservoir host(s) and precludes extended investigation of ecological, evolutionary, and environmental associations that lead to human infection or spillover. Natural history museum biorepositories form the backbone of a critically needed, decentralized, global network for zoonotic pathogen surveillance, yet this infrastructure remains marginally developed, underutilized, underfunded, and disconnected from public health initiatives. Proactive detection and mitigation for emerging infectious diseases (EIDs) requires expanded biodiversity infrastructure and training (particularly in biodiverse and lower income countries) and new communication pipelines that connect biorepositories and biomedical communities. To this end, we highlight a novel adaptation of Project ECHO's virtual community of practice model: Museums and Emerging Pathogens in the Americas (MEPA). MEPA is a virtual network aimed at fostering communication, coordination, and collaborative problem-solving among pathogen researchers, public health officials, and biorepositories in the Americas. MEPA now acts as a model of effective international, interdisciplinary collaboration that can and should be replicated in other biodiversity hotspots. We encourage deposition of wildlife specimens and associated data with public biorepositories, regardless of original collection purpose, and urge biorepositories to embrace new specimen sources, types, and uses to maximize strategic growth and utility for EID research. Taxonomically, geographically, and temporally deep biorepository archives serve as the foundation of a proactive and increasingly predictive approach to zoonotic spillover, risk assessment, and threat mitigation., Competing Interests: The authors have declared that no competing interests exist.

Background: Nonalcoholic fatty liver disease is common and is associated with rising morbidity and mortality in the UK. Cardiovascular disease is the main cause of death in people with nonalcoholic fatty liver disease., Aims: To determine the association between baseline cardiovascular risk factors with fatty liver index, and to investigate the association between fatty liver index and the incidence of cardiovascular disease in the UK., Methods: This study is a population-based retrospective cohort study using the UK Biobank database., Results: The mean fatty liver index in the study cohort was 44.9, and 33.7% met the criteria for nonalcoholic fatty liver disease. Fatty liver index was significantly associated with a wide range of cardiovascular risk factors at baseline. During a mean follow-up of 7.86 years, the combined incidence of cardiovascular disease was 6.92 per 1000-person years at risk. We found significant association between fatty liver index and incident cardiovascular disease in the fully adjusted model. We found significant association between fatty liver index and incident cardiovascular disease in subgroups stratified by BMI as well as subgroups with fatty liver index < 30, < 60, and ≥ 60., Conclusions: Fatty liver index not only predicts NAFLD diagnosis, but also indicates baseline and future development of cardiovascular disease on long-term follow-up across weight categories and fatty liver index spectrum. These findings can inform clinicians and other stakeholders on cardiovascular disease management and preventive efforts. Patients with high fatty liver index should be counseled on the increased future risk of developing cardiovascular disease.

The field of tissue engineering has progressed tremendously over the past few decades in its ability to fabricate functional tissue substitutes for regenerative medicine and pharmaceutical research. Conventional scaffold-based approaches are limited in their capacity to produce constructs with the functionality and complexity of native tissue. Three-dimensional (3D) bioprinting offers exciting prospects for scaffolds fabrication, as it allows precise placement of cells, biochemical factors, and biomaterials in a layer-by-layer process. Compared with traditional scaffold fabrication approaches, 3D bioprinting is better to mimic the complex microstructures of biological tissues and accurately control the distribution of cells. Here, we describe recent technological advances in bio-fabrication focusing on 3D bioprinting processes for tissue engineering from data processing to bioprinting, mainly inkjet, laser, and extrusion-based technique. We then review the associated bioink formulation for 3D bioprinting of human tissues, including biomaterials, cells, and growth factors selection. The key bioink properties for successful bioprinting of human tissue were summarized. After bioprinting, the cells are generally devoid of any exposure to fluid mechanical cues, such as fluid shear stress, tension, and compression, which are crucial for tissue development and function in health and disease. The bioreactor can serve as a simulator to aid in the development of engineering human tissues from in vitro maturation of 3D cell-laden scaffolds. We then describe some of the most common bioreactors found in the engineering of several functional tissues, such as bone, cartilage, and cardiovascular applications. In the end, we conclude with a brief insight into present limitations and future developments on the application of 3D bioprinting and bioreactor systems for engineering human tissue.

The microbiome research field is rapidly evolving, but the required biobanking infrastructure is currently fragmented and not prepared for the biobanking of microbiomes. The rapid advancement of technologies requires an urgent assessment of how biobanks can underpin research by preserving microbiome samples and their functional potential., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Biospecimen donation is essential for studies of cancer prevention, early detection, and treatment. Donations from minority groups, for whom the cancer burden is high, are infrequent and inadequate for research purposes. The obstacles to donation of biospecimens by African Americans and other minority groups must be identified. Patients aged 18-85 years were surveyed based on the clinic visited (group A: GI/primary care and group B: oncology with confirmed cancer diagnosis) and analyzed as separate groups. The validated biobanking attitudes and knowledge survey (BANKS) as well as pancreatic cancer questions were used. In group A, 278/292 surveys were completed (5/6 patients participated). In group B, 54/59 surveys were completed (4/5 patients participated). There were low mean scores on the BANKS knowledge sections, specifically in regard to specimen ownership and the separation of research and medical records. Also, two major concerns limited donation: (1) fear that personal, medical, and family medical information may be stolen from the biobank; and (2) mistrust that biospecimens could be used for unintended purposes. Low knowledge about biospecimen acquisition, added to mistrust, warrant community-based, and patient education in an effort to improve attitudes, increase participation, and regain healthy therapeutic alliances.

In order to assess the long-term impact of the Great East Japan Earthquake on the oral health of disaster victims and to evaluate gene-environmental interactions in the development of major oral diseases and oral-systemic associations, the oral part of two large-scale genome cohort studies by the Tohoku Medical Megabank Organization (ToMMo), including the Community-based cohort (CommCohort) study and the Birth and Three-Generation cohort (BirThree) study, have been conducted. The study population comprised 32,185 subjects, including 16,886 participants in the CommCohort study and 15,299 participants in the BirThree cohort study, recruited from 2013 to 2017. The oral studies consist of a questionnaire regarding oral hygiene behavior, clinical examinations by dentists, and oral plaque and saliva sampling for microbiome analyses, which were carried out at seven community support centers in Miyagi prefecture. The median age of all participants was 55.0 years, and 66.1% of participants were women. Almost all participants reported that they brushed their teeth more than once a day. The median number of present teeth was 27.0, and the decayed, missing and filled tooth number was 16.0, with a significant difference according to age and sex. The median periodontal pocket and clinical attachment level was 2.48 mm and 4.00 mm, respectively. Periodontal parameters increased significantly according to age, except for the accumulation of dental calculus. The oral part of these extensive cross-sectional studies provides a unique and important platform for future studies on oral health and diseases that elicit through interactions with systemic diseases, lifestyles, life events and genetic backgrounds, and contributes to researches clarifying the long-term effects of disasters on oral health.

Biobanking is important and fundamental for research and personalized medicine in patients with esophageal squamous cell carcinoma. The process often involves prospective collection of surgically obtained tissues (tissue banking) as well as serial blood samples (liquid biopsies) from the patients with esophageal squamous cell carcinoma. Apart from frozen tissues, formalin-fixed paraffin-embedded tissues are important sources of translational research. Careful planning and selection of the region of the paraffin-embedded tissues will maximize the use of tissue for molecular studies. Both cancer and non-cancer samples (controls) could be collected. The success and sustainability of the process needs proper infrastructure, advanced planning, funding, and multidisciplinary collaborations. The understanding of the principles and issues are detrimental for the success of biobanking. The technical procedures involved are standardized, complex, and time-consuming and needs coordinated taskforce.

Introduction: To address ethical concerns about the of future research authorization, biobanks employing a broad model of consent can design ongoing communication with contributors. Notifying contributors at the time of sample distribution provides one form of communication to supplement broad consent. However, little is known about how community-informed governance might anticipate contributor responses and inform communication efforts., Objective: We explored the attitudes of members of a three-site Community Advisory Board (CAB) network. CAB members responded to a hypothetical proposal for notifying biobank contributors at the time of sample distribution to researchers utilizing the biobank., Methods: We used regularly scheduled CAB meetings to facilitate 3 large-group and 6 small-group discussions. Discussions were audio-recorded, transcribed, and analyzed for thematic content using descriptive thematic analysis., Results: The results challenged our expectation of general support for the proposed communications. While CAB members identified some advantages, they were concerned about several potential harms to biobank contributors and the biobank. The CABs understood biobank communication in terms of an ongoing relationship with the biobank and a personal contribution to research., Conclusion: Our findings contribute to the emerging literature on community engagement in biobanking. Additional communication with biobank contributors can serve a variety of value-based objectives to supplement broad consent. Design of communication efforts by biobanks can be improved by CAB members' anticipation of the unintended consequences of additional contact with contributors. CAB members' holistic interpretation of communication efforts suggests that biobank leadership considers all communication options as part of a more comprehensive communications strategy., (© 2020 S. Karger AG, Basel.)

Aim: We aimed to examine the association between serum magnesium and diabetes and hypertension among Qatari adults., Methods: In the cross-sectional study, we used data from 9693 Qatari participants aged 20 years and above attending the Qatar Biobank (QBB) Study. Blood samples were analyzed in a central lab. Habitual food consumption was assessed by a food frequency questionnaire. Reduced rank regression was used to construct magnesium related dietary pattern (MRDP) using serum magnesium as a response variable. Diabetes was defined by blood glucose, HbA1c or known diabetes. Prediabetes was defined as HbA1c between 5.7% and 6.4%. Subclinical magnesium deficiency was defined as serum magnesium <0.85 mmol/L., Results: The prevalence of diabetes, prediabetes and subclinical magnesium deficiency was 18.9%, 11.5% and 59.5%, respectively. Across the quartiles of serum magnesium from high to low, the prevalence ratios (PR 95%CI) for diabetes were 1.00, 1.35, 1.88, and 2.70 (95%CI 2.38-3.05), respectively (p for trend <0.001). The presence of hypertension significantly increased the probability of diabetes along a wide range of low serum magnesium. A low intake of MRDP was also positively associated with diabetes and high HbA1c., Conclusion: Subclinical magnesium deficiency is common in Qatar and associates with diabetes, prediabetes and hypertension in Qatari adults., (Copyright © 2019 Elsevier B.V. All rights reserved.)

The National Medical Research Center for Preventive Medicine of Russia (NMRCPM) conducts epidemiological and clinical research for the development of personalized medicine. This is why NMRCPM has faced the problem of how to standardize preanalytical conditions for all biospecimens from various scientific projects and of how to provide long-term responsible standardized regulated safe storage of blood and its derivatives. This article describes various aspects of establishing a biobank in a large medical center dedicated to integrating the biomarkers research activities of different departments. To date, >205,000 serum/plasma/whole blood specimens have been stored. Collaboration with >25 scientific projects as well as the biobank's own research project has been organized. The availability of this biobank became a platform for the establishment of the Personalized Medicine Center in NMRCPM.

Traditional cancer models including cell lines and animal models have limited applications in both basic and clinical cancer research. Genomics-based precision oncology only help 2-20% patients with solid cancer. Functional diagnostics and patient-derived cancer models are needed for precision cancer biology. In this review, we will summarize applications of conditional cell reprogramming (CR) in cancer research and next generation living biobanks (NGLB). Together with organoids, CR has been cited in two NCI (National Cancer Institute, USA) programs (PDMR: patient-derived cancer model repository; HCMI: human cancer model initiatives. HCMI will be distributed through ATCC). Briefly, the CR method is a simple co-culture technology with a Rho kinase inhibitor, Y-27632, in combination with fibroblast feeder cells, which allows us to rapidly expand both normal and malignant epithelial cells from diverse anatomic sites and mammalian species and does not require transfection with exogenous viral or cellular genes. Establishment of CR cells from both normal and tumor tissue is highly efficient. The robust nature of the technique is exemplified by the ability to produce 2 × 10 6 cells in five days from a core biopsy of tumor tissue. Normal CR cell cultures retain a normal karyotype and differentiation potential and CR cells derived from tumors retain their tumorigenic phenotype. CR also allows us to enrich cancer cells from urine (for bladder cancer), blood (for prostate cancer), and pleural effusion (for non-small cell lung carcinoma). The ability to produce inexhaustible cell populations using CR technology from small biopsies and cryopreserved specimens has the potential to transform biobanking repositories (NGLB: next-generation living biobank) and current pathology practice by enabling genetic, biochemical, metabolomic, proteomic, and biological assays, including chemosensitivity testing as a functional diagnostics tool for precision cancer medicine. We discussed analyses of patient-derived matched normal and tumor models using a case with tongue squamous cell carcinoma as an example. Last, we summarized applications in cancer research, disease modeling, drug discovery, and regenerative medicine of CR-based NGLB.

Melanoma of the skin is the sixth most common type of cancer in Europe and accounts for 3.4% of all diagnosed cancers. More alarming is the degree of recurrence that occurs with approximately 20% of patients lethally relapsing following treatment. Malignant melanoma is a highly aggressive skin cancer and metastases rapidly extend to the regional lymph nodes (stage 3) and to distal organs (stage 4). Targeted oncotherapy is one of the standard treatment for progressive stage 4 melanoma, and BRAF inhibitors (e.g. vemurafenib, dabrafenib) combined with MEK inhibitor (e.g. trametinib) can effectively counter BRAFV600E-mutated melanomas. Compared to conventional chemotherapy, targeted BRAFV600E inhibition achieves a significantly higher response rate. After a period of cancer control, however, most responsive patients develop resistance to the therapy and lethal progression. The many underlying factors potentially causing resistance to BRAF inhibitors have been extensively studied. Nevertheless, the remaining unsolved clinical questions necessitate alternative research approaches to address the molecular mechanisms underlying metastatic and treatment-resistant melanoma. In broader terms, proteomics can address clinical questions far beyond the reach of genomics, by measuring, i.e. the relative abundance of protein products, post-translational modifications (PTMs), protein localisation, turnover, protein interactions and protein function. More specifically, proteomic analysis of body fluids and tissues in a given medical and clinical setting can aid in the identification of cancer biomarkers and novel therapeutic targets. Achieving this goal requires the development of a robust and reproducible clinical proteomic platform that encompasses automated biobanking of patient samples, tissue sectioning and histological examination, efficient protein extraction, enzymatic digestion, mass spectrometry-based quantitative protein analysis by label-free or labelling technologies and/or enrichment of peptides with specific PTMs. By combining data from, e.g. phosphoproteomics and acetylomics, the protein expression profiles of different melanoma stages can provide a solid framework for understanding the biology and progression of the disease. When complemented by proteogenomics, customised protein sequence databases generated from patient-specific genomic and transcriptomic data aid in interpreting clinical proteomic biomarker data to provide a deeper and more comprehensive molecular characterisation of cellular functions underlying disease progression. In parallel to a streamlined, patient-centric, clinical proteomic pipeline, mass spectrometry-based imaging can aid in interrogating the spatial distribution of drugs and drug metabolites within tissues at single-cell resolution. These developments are an important advancement in studying drug action and efficacy in vivo and will aid in the development of more effective and safer strategies for the treatment of melanoma. A collaborative effort of gargantuan proportions between academia and healthcare professionals has led to the initiation, establishment and development of a cutting-edge cancer research centre with a specialisation in melanoma and lung cancer. The primary research focus of the European Cancer Moonshot Lund Center is to understand the impact that drugs have on cancer at an individualised and personalised level. Simultaneously, the centre increases awareness of the relentless battle against cancer and attracts global interest in the exceptional research performed at the centre.

Despite increasing rates of cancer, biospecimen donations for cancer research remains low among Pacific Islanders (PIs). To address this disparity, researchers partnered with PI community organizations to develop and test a theory-based culturally tailored educational intervention designed to raise awareness about the issues surrounding biospecimen research. A total of 219 self-identified PI adults in Southern California were recruited to participate in a one-group pre-post design study. Participants completed questionnaires that assessed their knowledge and attitude regarding biospecimen research before and after viewing an educational video and receiving print materials. Results showed that participants' overall knowledge and attitude increased significantly from pre-test to post-test (p < .0001). Over 98% of participants also reported that they would be willing to donate at least one type of biospecimen sample. Efforts such as these that utilize culturally tailored education interventions may be instrumental in improving biospecimen donation rates in the PI community as well as other minority populations.

Background: The taxonomy of cardiovascular (CV) diseases is divided into a broad spectrum of clinical entities. Many such diseases coincide in specific patient groups and suggest shared predisposition., Objectives: This study focused on coronary artery disease (CAD) and investigated the genetic relationship to CV and non-CV diseases with reported CAD comorbidity., Methods: This study examined 425,196 UK Biobank participants to determine a genetic risk score (GRS) based on 300 CAD associated variants (CAD-GRS). This score was associated with 22 traits, including risk factors, diseases secondary to CAD, as well as comorbid and non-CV conditions. Sensitivity analyses were performed in individuals free from CAD or stable angina diagnosis., Results: Hypercholesterolemia (odds ratio [OR]: 1.27; 95% CI: 1.26 to 1.29) and hypertension (OR: 1.11; 95% CI: 1.10 to 1.12) were strongly associated with the CAD-GRS, which indicated that the score contained variants predisposing to these conditions. However, the CAD-GRS was also significant in patients with CAD who were free of CAD risk factors (OR: 1.37; 95% CI: 1.30 to 1.44). The study observed significant associations between the CAD-GRS and peripheral arterial disease (OR: 1.28; 95% CI: 1.23 to 1.32), abdominal aortic aneurysms (OR: 1.28; 95% CI: 1.20 to 1.37), and stroke (OR: 1.08; 95% CI: 1.05 to 1.10), which remained significant in sensitivity analyses that suggested shared genetic predisposition. The score was also associated with heart failure (OR: 1.25; 95% CI: 1.22 to 1.29), atrial fibrillation (OR: 1.08; 95% CI: 1.05 to 1.10), and premature death (OR: 1.04; 95% CI: 1.02 to 1.06). These associations were abolished in sensitivity analyses that indicated that they were secondary to prevalent CAD. Finally, an inverse association was observed between the score and migraine headaches (OR: 0.94; 95% CI: 0.93 to 0.96)., Conclusions: A wide spectrum of CV conditions, including premature death, might develop consecutively or in parallel with CAD for the same genetic roots. In conditions like heart failure, the study found evidence that the CAD-GRS could be used to stratify patients with no or limited genetic overlap with CAD risk. Increased genetic predisposition to CAD was inversely associated with migraine headaches., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Study Objectives: We aimed to detect cross-sectional phenotype and polygenic risk score (PRS) associations between sleep duration and prevalent diseases using the Partners Biobank, a hospital-based cohort study linking electronic medical records (EMR) with genetic information., Methods: Disease prevalence was determined from EMR, and sleep duration was self-reported. A PRS for sleep duration was derived using 78 previously associated SNPs from genome-wide association studies (GWAS) for self-reported sleep duration. We tested for associations between (1) self-reported sleep duration and 22 prevalent diseases (n = 30 251), (2) the PRS and self-reported sleep duration (n = 6903), and (3) the PRS and the 22 prevalent diseases (n = 16 033). For observed PRS-disease associations, we tested causality using two-sample Mendelian randomization (MR)., Results: In the age-, sex-, and race-adjusted model, U-shaped associations were observed for sleep duration and asthma, depression, hypertension, insomnia, obesity, obstructive sleep apnea, and type 2 diabetes, where both short and long sleepers had higher odds for these diseases than normal sleepers (p < 2.27 × 10-3). Next, we confirmed associations between the PRS and longer sleep duration (0.65 ± 0.19 SD minutes per effect allele; p = 7.32 × 10-04). The PRS collectively explained 1.4% of the phenotypic variance in sleep duration. After adjusting for age, sex, genotyping array, and principal components of ancestry, we observed that the PRS was also associated with congestive heart failure (CHF; p = 0.015), obesity (p = 0.019), hypertension (p = 0.039), restless legs syndrome (RLS; p = 0.041), and insomnia (p = 0.049). Associations were maintained following additional adjustment for obesity status, except for hypertension and insomnia. For all diseases, except RLS, carrying a higher genetic burden of the 78 sleep duration-increasing alleles (i.e. higher sleep duration PRS) associated with lower odds for prevalent disease. In MR, we estimated causal associations between genetically defined longer sleep duration with decreased risk of CHF (inverse variance weighted [IVW] OR per minute of sleep [95% CI] = 0.978 [0.961-0.996]; p = 0.019) and hypertension (IVW OR [95% CI] = 0.993 [0.986-1.000]; p = 0.049), and increased risk of RLS (IVW OR [95% CI] = 1.018 [1.000-1.036]; p = 0.045)., Conclusions: By validating the PRS for sleep duration and identifying cross-phenotype associations, we lay the groundwork for future investigations on the intersection between sleep, genetics, clinical measures, and diseases using large EMR datasets., (© Sleep Research Society 2018. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.)

Brain banks are biorepositories of central nervous system (CNS) tissue including fixed and frozen whole brains, brain biopsies and spinal cord, as well as body fluids comprising the cerebrospinal fluid (CSF) and blood stored for research purposes. Though several independent brain banks exist in high income countries, only five low- and middle - income countries (LMIC) have brain banks. The African continent is yet to establish a formalized brain bank despite its huge human genomic diversity, ageing of her populations with concomitant increases in ageing - associated brain disorders and differential phenotypic expression and outcomes of brain disorders. Cellular and molecular clinicopathological studies are vital to shaping our understanding of the interaction between racial (genetic) and geographical (environmental) factors in the natural history and mechanisms of disease, and unravelling frameworks of diagnostic biomarkers, and new therapeutic and preventative interventions. The Ibadan Brain Ageing, Dementia And Neurodegeneration (IBADAN) Brain Bank, the first organized brain tissue biorepository in sub - Saharan Africa, is set up to accrue, process and store unique brain tissues for future research into a broad spectrum of neurological and psychiatric disorders. The potential unique discoveries and research breakthroughs will benefit people of African ancestry and other ancestral populations., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: Sex-specific differences in the effect of genetic variants on serum urate levels have been described. The aim of this study was to systematically examine whether serum urate-associated genetic variants differ in their influence on gout risk in men and women., Methods: This research was conducted using the UK Biobank Resource. Thirty single nucleotide polymorphisms (SNPs) associated with serum urate were tested for their association with gout in men and women of European ancestry, aged 40-69 years. Gene-sex interactions for gout risk were analysed using an interaction analysis in logistic regression models., Results: Gout was present in 6768 (4.1%) men and 574 (0.3%) women, with an odds ratio (95% confidence interval) for men 13.42 (12.32-14.62) compared with women. In men, experiment-wide association with gout was observed for 21 of the 30 serum urate-associated SNPs tested, and in women for three of the 30 SNPs. Evidence for gene-sex interaction was observed for ABCG2 (rs2231142) and PDZK1 (rs1471633), with the interaction in ABCG2 driven by an amplified effect in men and in PDZK1 by an absence of effect in women. Similar findings were observed in a sensitivity analysis which excluded pre-menopausal women. For the other SNPs tested, no significant gene-sex interactions were observed., Conclusions: In a large population of European ancestry, ABCG2 and PDZK1 gene-sex interactions exist for gout risk, with the serum urate-raising alleles exerting a greater influence on gout risk in men than in women. In contrast, other serum urate-associated genetic variants do not demonstrate significant gene-sex interactions for gout risk.

Matrices representing genetic relatedness among individuals ( i.e. , Genomic Relationship Matrices, GRMs) play a central role in genetic analysis. The eigen-decomposition of GRMs (or its alternative that generates fewer top singular values using genotype matrices) is a necessary step for many analyses including estimation of SNP-heritability, Principal Component Analysis (PCA), and genomic prediction. However, the GRMs and genotype matrices provided by modern biobanks are too large to be stored in active memory. To accommodate the current and future "bigger-data", we develop a disk-based tool, Out-of-Core Matrices Analyzer (OCMA), using state-of-the-art computational techniques that can nimbly perform eigen and Singular Value Decomposition (SVD) analyses. By integrating memory mapping (mmap) and the latest matrix factorization libraries, our tool is fast and memory-efficient. To demonstrate the impressive performance of OCMA, we test it on a personal computer. For full eigen-decomposition, it solves an ordinary GRM ( N = 10,000) in 55 sec. For SVD, a commonly used faster alternative of full eigen-decomposition in genomic analyses, OCMA solves the top 200 singular values (SVs) in half an hour, top 2,000 SVs in 0.95 hr, and all 5,000 SVs in 1.77 hr based on a very large genotype matrix ( N = 1,000,000, M = 5,000) on the same personal computer. OCMA also supports multi-threading when running in a desktop or HPC cluster. Our OCMA tool can thus alleviate the computing bottleneck of classical analyses on large genomic matrices, and make it possible to scale up current and emerging analytical methods to big genomics data using lightweight computing resources., (Copyright © 2019 by the Genetics Society of America.)

Transmission electron microscopy (TEM) is an ideal device to study the internal structure of cells and different types of biological materials, but adverse conditions inside electron microscopes such as damage induced by electron bombardment and vacuum evaporation of structural water necessitates complex preparation methods to survive this environment. In order to introduce the sample into the evacuated microscope column, it should be stabilized and altered to small enough (about 3 mm in diameter) and thin enough parts to permit the transmission of electrons. Depending on applications different thicknesses are required; for example, in biological research studies usually 300-500 nm thickness is indicated. To stabilize the specimen and preserve the sample structures, different preparation methods are used involving different steps based on the type of study and the specimen, although the ultimate goal of all these preparation technics is to maintain the native structure of the sample. In this chapter, we try to explain the series of steps that involve in preparation. Virtually every step can affect the quality of sample, and therefore it is important to execute each step in detail.

Nucleic acid isolation is often the starting point for all downstream experiments in biomedical research. It is therefore the most crucial step in any molecular technique. DNA and RNA extraction follow protocols with standardized reagents, many of which are available in quality-controlled commercial kits. Irrespective of the protocol, successful extraction of high-quality nucleic acid from biological tissues requires sufficient disruption of the tissue and cellular structures, denaturation of nucleoprotein complexes, inactivation of nucleases, and nucleic acid purification. These steps can be modified based on nucleic acid of interest and biological sample source. This chapter addresses DNA and RNA extraction from a variety of sample and tissue types, including saliva, and formalin-fixed, paraffin-embedded tissues, which are often archived in clinical pathology laboratories. Special considerations and common pitfalls of each protocol will also be discussed, as will nucleic acid quantitation techniques.

Biobanking is a costly activity that manages valuable and sometimes irreplaceable specimens. These specimens must be managed and protected carefully as the loss of specimens can destroy years of research efforts, and potentially result in reputational damage to the institution. Therefore, risk management, mitigation, and disaster recovery plans must be in place for unexpected man-made or natural disaster events that will affect biobanking operations. In this chapter, we discuss the various aspects of disaster prevention, and recovery efforts during and after of a disaster event.

Compared to DNA, analysis of RNA is one step closer on the central dogma of biology to assessing cellular function. This makes it an extremely valuable target for research and clinical testing in nearly all areas of molecular biology. Most RNA molecules are ephemeral by nature. They exist as temporary intermediates, ostensibly enabling data transfer between the genome and the organism. Their ribose backbone renders them sensitive to simple degradation over time and they are the target molecule for numerous and abundant ribonucleases which have evolved to chop them to pieces with extreme efficiency. At the biochemical level, this means that they degrade rapidly in most physiological and laboratory conditions and are thus challenging to study. When considering specimen banking, it is critical to keep this reality in mind, as some commonly used banking modalities will not adequately preserve the relevant RNA molecules in a measureable state.In this chapter, we explore the broad range of RNA testing methodologies in current use, with particular focus on how specimen preparation impacts analysis. Following an overview in the introduction, Subheading 2 covers the major specimen types amenable to RNA analysis in the context of biobanking. Subheading 3 discusses the applications of various RNA analysis modalities to research and clinical testing.

Biobanks are storage places for biospecimens that can be used for current and future scientific research. Biospecimens are exceptional sources of biological data that can be potentially translated from molecular and genetic information to clinically relevant treatment modalities. Examples of such biospecimens include, but are not limited to, blood, skin, hair, saliva, stem cells, DNA, and RNA. The volume of biospecimens worldwide continues to grow at an extraordinary rate posing a challenge for biobanks to manage this growth. Due to the vital role of biobanks in research, an understanding of biobanking sustainability is important. Simply starting to collect biospecimens without strategic planning and cost analysis can lead to failure. Components vital to sustainability include fostering public support, cost-effective banking, funding development, standardized protocols, and interoperability.

An autopsy is a specialized surgical procedure consisting of external and internal examination of a deceased individual for the purposes of documenting abnormalities and determining or confirming medical diagnoses that may have contributed to their death. One of the benefits of an autopsy is the opportunity to collect and store biospecimens for the purposes of biobanking. This chapter outlines the procedures necessary to procure, store, and utilize biospecimens obtained during an autopsy. With the emergence of molecular diagnostics, this chapter also discusses factors that influence the integrity of autopsy biospecimens prior to procurement. These include the postmortem interval, as well as premortem factors such as the patient's agonal state, biospecimen temperature, and pH.

Patient tumor tissue processing is an important step in the generation of clinically relevant specimens for in vitro and in vivo studies. Proper disassociation and tissue sample cleanup is a multistep, time-consuming process that ultimately effects the generation of patient derived xenografts and neurosphere cultures. Here we describe a detailed protocol on how to process and disassociate patient glioma tissue and subsequent steps on orthotopic implantation and in vitro generation of neurospheres.

Blood is a widely used biospecimen in the field of biobanking, secondary to the ease with which it is collected along with the wide variety of analytes obtained from it for analysis. It carries the potential to further the search for biomarkers in countless diseases; therefore, the standardization and optimization of blood collection procedures is of importance in assuring reproducibility of results. Here, we briefly review procedures for the procurement, storage, and use of blood and its fractions for biobanking purposes. Select commonly used methods for collecting blood with various vacutainer blood collection tubes are described, along with optimal storage conditions of various samples in short- and long-term situations.

The personnel who operate a biomedical biobank should function as a unit to efficiently manage the numerous types of biospecimens that are to be utilized for both clinical and research purposes. Therefore, new staff must be appropriately trained before becoming fully integrated into the work environment. This chapter focuses on several key aspects to this training that should be completed by all personnel. This first step is an orientation where the new trainee is provided with the priorities and expectations of the biobank. The next and perhaps most important step is training on the various safety precautions. The trainee should learn how to protect patient privacy if human biospecimens are involved. They should gain a basic understanding of different types of biospecimens and their vulnerabilities to suboptimal storage conditions. The trainee must learn the various aspects of the day to day work which encompasses the methods and equipment needed for procuring, labeling, handling, tracking, storing, disbursing, and shipping biospecimens. They should become familiar with aspects of quality assurance.

The purpose of a biobank is to process, organize, and maintain various types of biospecimens that are to be utilized for both clinical and research-based services. There are different types of biobanks, so the goals of the biobank should be delineated at the outset of forming a biobank. The startup of a biobank benefits from accreditation and stringent adherence to standards of practice. Fundamental to these practices is the protection of privacy and informed consent. A budget must be developed, and sources of funding should be obtained to properly equip the designated space and personnel. The appropriate space for freezers and for biospecimen processing should be identified. Information technology is also a critical part of the biobank and effort should be expended to ensure that this aspect is effective and secure. Given the ethical concerns surrounding biospecimens, engagement with the public is also highly valuable.

Biobanks are critical resources for biomedical research and will be a driving force behind personalized medicine. Although biobanking efforts are increasing across the USA and the world, minority populations are frequently underrepresented in biobanks, which undermines their value. A number of factors have been linked to low rates of minority participation in biobanks, including mistrust of researchers, concerns about privacy and confidentiality, logistical barriers to participation, and inadequate opportunities to participate. There are several strategies biobankers can use to increase participation of minority and underserved populations and optimize the value of their biospecimen collection for research.

This chapter describes the most practical manual and automated methods of isolating genomic DNA and RNA from different sources. It also summarizes currently popular methods of quality control (QC) for genomic DNA, RNA, and next generation sequencing (NGS) libraries.

A biobank is an important nexus between clinical and research aspects of pathology. The collection and storage of high quality surgical samples is essential for diagnosis post-surgery, and can also be used to create vaccines, identify therapeutic targets or establish eligibility of cancer patients in a clinical trial. Therefore, personnel handling surgical tissues should follow standard operating procedures (SOP) to maximize efficiency and preserve tissue quality. This chapter is intended to familiarize novice biobank personnel with the issues associated with different steps of surgical tissue collection including patient consent, sample collection, tissue storage, quality control, and distribution.

Biobanks support medical research by facilitating access to biospecimens. Biospecimens that are linked to clinical and molecular information are particularly useful for translational biomedical research. Tracking and managing the biospecimens and their associated data are therefore crucial tasks in the functioning of a biobank. Adequate computing hardware, efficient and comprehensive biobanking software, and cost-effective data storage are needed for proper management of biospecimens. As biobanks build up extensive stores of specimens and patient data, ethical considerations also inevitably arise. Herein, we describe some basic considerations for establishing a biobanking information technology infrastructure that a beginning biobanker needs. Finally, we also discuss trends and future needs in biobanking informatics.

The German Environmental Specimen Bank (ESB) is a monitoring instrument of the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety. The permanent biobank facility is run since 1981 containing environmental and human samples from Germany. All samples are collected according to standard operating procedures (SOP). An standardized annual collection of human samples at four different regional sites of the country has been established since 1997. Routine sampling is done once a year, recruiting healthy non occupationally exposed students aged 20-29 years, in an equal gender distribution. The number of participants recruited is approximately 120 students per site and year. Directly after the annual sampling process, the human samples are analyzed for selected environmental chemicals. The time-trends of lead in blood, mercury and pentachlorophenol in 24 h-urine and polychlorinated biphenyls in plasma demonstrated a decrease of exposure during the last two decades by about 40-90 percent. In parallel retrospective studies using cryo-archived samples revealed increasing time trends of emerging chemicals used as substitutes for regulated toxicants. The data demonstrates the great relevance of the ESB for the health related environmental monitoring and shows the importance of human biomonitoring as a tool in information based policy making., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background and Aim: It is increasingly recognized that biomedical research has serious reproducibility issues, which could be overcome at least in part by standardized processing of biomaterials. Therefore, professional biobanks have emerged, positively influencing sample and data quality. However, quantitative data about a biobank's contribution to published results are still hard to find, although they could serve as valuable benchmark figures for the community. We therefore aimed to report usage data from the MedUni Wien Biobank facility regarding its prospective fluid cohorts. Methods: Input and access statistics and publication output were reported for the years 2010-2017. Performance dynamics were tested by correlation analyses according to Spearman. Additionally, virtual costs per sample were calculated. Results: The amount of annually collected aliquots rose significantly from 68,500 in 2010 to 151,966 in 2017 ( p  = 0.015), although no further increase was recorded after 2012 ( p  = 0.266). In the same period, the quotient of requested to stored aliquots increased from 3.5% to 6.1% ( p  = 0.001), as the yearly number of requested aliquots nearly quadrupled from 2401 to 9342. Likewise, the number of published research articles per year to which the MedUni Wien Biobank contributed increased from 2 (total impact factor: 8.6) in 2010 to 16 (total impact factor: 69.0) in 2017, resulting in a total of 69 identified publications. Currently, the biobank operates at 15- to 20-fold overproduction, leading to virtual costs per accessed sample of ∼€20. Conclusion: The reported usage data might serve as a benchmark for other hospital-integrated biobanks, and implies that academic biobanks are able to produce considerable scientific impact at comparable moderate costs.

Biobanking of molecularly characterized colorectal cancer stem cells (CSCs) generated from individual patients and growing as spheroids in defined serum-free media offer a fast, feasible, and multi-level approach for the screening of targeted therapies and drug resistance molecular studies. By combining in vitro and in vivo analyses of cetuximab efficacy with genetic data on an ongoing collection of stem cell-enriched spheroids, we describe the identification and preliminary characterization of microsatellite stable (MSS) CSCs that, despite the presence of the KRAS (G12D) mutation, display epidermal growth factor (EGF)-dependent growth and are strongly inhibited by anti-EGF-receptor (EGFR) treatment. In parallel, we detected an increased resistance to anti-EGFR therapy of microsatellite instable (MSI) CSC lines irrespective of KRAS mutational status. MSI CSC lines carried mutations in genes coding for proteins with a role in RAS and calcium signaling, highlighting the role of a genomically unstable context in determining anti-EGFR resistance. Altogether, these results argue for a multifactorial origin of anti-EGFR resistance that emerges as the effect of multiple events targeting direct and indirect regulators of the EGFR pathway. An improved understanding of key molecular determinants of sensitivity/resistance to EGFR inhibition will be instrumental to optimize the clinical efficacy of anti-EGFR agents, representing a further step towards personalized treatments.

Prospective collection is a model through which biospecimens are provided for research. Using this model, biospecimens are collected based on real-time requests from the research community instead of being collected based on the prediction of future requests. We describe the lessons learned by two bioresources that have operated successfully using a prospective model for over three decades. Our goal is to improve other bioresources by increasing utilization of biospecimens that honor consented donors who provide biospecimens to the research community; this provides strong evidence of stewardship of the public trust. The operation of these sites requires flexibility, close communication, and cooperation with the investigator in developing a standard operating procedure (protocol) based on the investigator's needs described in their initial request. If practicable, almost any preparation can be provided, including fresh (nonfrozen) biospecimens and tissue blots. A quality management system includes rigorous quality control of the specific biospecimens provided to an investigator. The informatics approach focuses on the investigator, the investigator's request, and the biospecimens collected for the investigator; the informatics focus of classic biobanks is on the biospecimens collected to match expected future requests. These lessons have been incorporated into our current operations. Standard investigator agreements (e.g., indemnification and no unapproved biospecimen transfers to third parties) replace material transfer agreements. We have operated under the prospective model of the Cooperative Human Tissue Network (CHTN), which has been successful and has provided over 1.2 million biospecimens since it began in 1987. These tissues have supported over 4300 peer-reviewed scientific articles. Since 2012, about 1000 publications have indicated support by CHTN tissues; their average citation rate is 31 with an H factor of 61. Also, during this period, 114 patents cited the CHTN. We also describe disadvantages of prospective bioresources (e.g., inadequate distribution of rare tissues, biospecimens not immediately available, and delayed clinical outcomes).

Nordic countries have played an important role in the recent progress in psychiatric genetics, both with large well-characterized samples and expertise. The Nordic countries have research advantages due to the organization of their societies, including system of personal identifiers, national health registries with information about diseases, treatment and prescriptions, and a public health system with geographical catchment areas. For psychiatric genetic research, the large biobanks and population surveys are a unique added value. Further, the population is motivated to participate in research, and there is a trust in the institutions of the society. These factors have been important for Nordic contributions to biomedical research, and particularly psychiatric genetics. In the era of eHealth, the situation seems even more advantageous for Nordic countries. The system with public health care makes it easy to implement national measures, and most of the Nordic health care sector is already based on electronic information. The potential advantages regarding informed consent, large scale recruitment and follow-up, and longitudinal cohort studies are tremendous. New precision medicine approaches can be tested within the health care system, with an integrated approach, using large hospitals or regions of the country as a test beds. However, data protection and legal framework have to be clarified. In order to succeed, it is important to keep the people's trust, and maintain the high ethical standards and systems for secure data management. Then the full potential of the Nordic countries can be leveraged in the new era of precision medicine including psychiatric genetics., (© 2017 Wiley Periodicals, Inc.)

Human biological samples are key resources in unravelling physiopathological factors underlying diseases and influencing their outcome. By making use of these resources, genomics, proteomics and molecular imaging techniques have achieved unprecedented progress in the past decade. The development of genomics platforms, molecular imaging as well as bioinformatics allowed a significant development of the biomarkers field thus realizing significant advances towards personalized medicine. The exponential increase of data, their complexity, the necessity of their integration for analysis require the development of appropriate infrastructures. These latter should integrate experts from different fields as well as an optimal organisation of biobanks including novel access and exchange rules for biological material and data., (© 2018 médecine/sciences – Inserm.)

Introduction: The safety-related failure of drugs during clinical phases of development is a significant contributor to drug attrition, wasting resources and preventing treatments from reaching patients. A lack of concordance between results from animal models and adverse events in the clinic has been identified as one potential cause of attrition. In vitro models using human tissue or cells have the potential to replace some animal models and improve predictivity to humans., Methods: To gauge the current use of human tissue models in safety pharmacology and the barriers to greater uptake, an electronic survey of the international safety assessment community was carried out and a Safety Pharmacology Society European Regional Meeting was organised entitled 'The Use of Human Tissue in Safety Assessment'., Results: A greater range of human tissue models is in use in safety assessment now than four years ago, although data is still not routinely included in regulatory submissions. The barriers to increased uptake of the models have not changed over that time, with inadequate supply and characterisation of tissue being the most cited blocks., Discussion: Supporting biobanking, the development of new human tissue modelling technology, and raising awareness in the scientific and regulatory communities are key ways in which the barriers to greater uptake of human tissue models can be overcome. The development of infrastructure and legislation in the UK to support the use of post-mortem or surgical discard tissue will allow scientists to locally source tissue for research., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)