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At least 127 records · Page 7Linked to original sources

Menin mutations in the diagnosis and prediction of multiple endocrine neoplasia type 1.

INTRODUCTION: Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominant disorder characterized by the development of multiple endocrine adenomas, typically in the pancreas, anterior pituitary, and parathyroid glands. The disease is associated with germ-line mutations of the menin gene, a putative tumor-suppressor gene located on human chromosome 11q13. METHODS: To facilitate the diagnosis and prediction of MEN1 in patients and their relatives, we developed a molecular two-step strategy to screen for menin gene mutations. DNA fragments covering the entire menin coding sequence are generated from patient cDNA by polymerase reaction (PCR) and subsequently analyzed by single-strand conformational polymorphism electrophoresis (SSCP). Fragments with aberrant SSCP migration are DNA-sequenced to directly characterize menin mutations. In a second diagnostic step, genomic DNA of healthy relatives of the corresponding MEN1 index patient is analyzed by PCR, with only the specific exon amplified harboring the family-specific mutation. Mutation-specific restriction enzyme digestion of this PCR product finally allows the identification of mutation carriers through pathological restriction fragment patterns. RESULTS: Using this approach, we identified an in-frame deletion mutation (delta Tyr Met) located in menin exon 4 (codon 227-228) that co-segregates with the disease phenotype in a large MEN1 family from Southern Germany. CONCLUSION: It is likely that the direct molecular analysis of menin gene mutations will replace the genetic and biochemical screening tests currently used in the clinical management of MEN1 families. In addition, these studies may provide clues to the tumor biology of both sporadic and MEN1-associated endocrine adenomas.

Adult↗

Evaluation of different nucleic acid stains for sensitive double-stranded DNA analysis with capillary electrophoretic separation.

This paper outlines the first use of SYTOX Orange, SYTO 82 and SYTO 25 nucleic acid stains for on-column staining of double-stranded DNA (dsDNA) fragments separated by capillary electrophoresis (CE). Low-viscosity, replaceable poly(vinylpyrrolidone) (PVP) polymer solution was used as the sieving matrix on an uncoated fused-silica capillary. The effects of PVP concentration, electric field strength, and incorporated nucleic acid stain concentrations on separation efficiency were examined for a wide range of DNA fragment sizes. Our study was focused on using nucleic acid stains efficiently excitable at a wavelength of 532 nm. Among the five tested nucleic acid stains, SYTOX Orange stain was shown to have the best sensitivity for dsDNA detection by CE. About a 500-fold lower detection limit was obtained compared to commonly used ethidium bromide and propidium iodide. SYTOX Orange stain also provided a wide linear dynamic range for direct DNA quantitation with on-line CE detection. Use of SYTOX Orange stain can greatly improve the measurement of DNA fragments by CE, which will enable an expanded set of applications in genomics and diagnostics.

Coloring Agents↗

Biotechnology match making: screening orphan ligands and receptors.

To date there has been a considerable amount of interest and success in the pharmaceutical industry in the discovery of drug targets and diagnostics via genomic technologies, namely DNA sequencing, mutation/polymorphism detection and expression monitoring of mRNA. As the ultimate targets for the majority of these methods are actually proteins, more and more emphasis has been placed upon protein-based methods in an effort to define the function of proteins discovered by genomic technologies. One of the most challenging areas of drug target discovery facing researchers today is the search for novel receptor-ligand pairs. Database mining techniques in conjunction with other computational methods are able to identify many novel sequences of putative receptors, but the ability to similarly identify the receptor's natural ligand is not possible by these methods. The past few years have seen an increase in methodology and instrumentation focused on the ability to discover and characterize protein-protein interactions, as well as receptor-ligand pairs. Significant advances have been made in the areas of instrumentation (biosensors and fluorescent plate readers) as well as methodologies relating to phage/ribosome display and library construction.

Animals↗

A high-throughput mutation detection method based on heteroduplex analysis using graft copolymer matrixes: application to Brca1 and Brca2 analysis.

We present here a new approach to electrophoretic heteroduplex analysis (EHDA) based on improved matrixes. EHDA is an appealing technique for the detection of unknown point mutations because of its simplicity and high throughput. We present here a new matrix for electrophoretic heteroduplex analysis much more sensitive for insertions, deletions, and substitutions than reported for previous EHDA separations and also superior to DHPLC. This separation matrix is based on a copolymer with a comb architecture, poly(acrylamide-g-polydimethylacrylamide), made of a high molecular weight polyacrylamide backbone grafted with poly(dimethylacrylamide) side chains. The effect of operational parameters on electrophoretic resolution and sensitivity to single-nucleotide mismatches was studied using a collection of samples from patients bearing mutations in the breast cancer predisposition genes BRCA1 and BRCA2. Seventeen fragments (10 mutations), implying mostly substitutions on fragments with sizes ranging from 200 to 600 bp, were analyzed using a single set of separation conditions. A success rate of 94% was achieved with a qualitative analysis in terms of number of peaks, and 100% identification of mutations was obtained with a more quantitative test using peak width analysis. This strong improvement of performance with regard to previous HDA methods is attributed to a composite mechanism of separation, combining steric and chromatographic effects. It opens the route to a significant reduction of development time and operation cost for diagnostic and genomic applications.

Base Sequence↗

The severe acute respiratory syndrome (SARS).

The world was shocked in early 2003 when a pandemic of severe acute respiratory syndrome (SARS) was imminent. The outbreak of this novel disease, caused by a novel coronavirus (the SARS-coronavirus), hit hardest in the Asian Pacific region, though eventually it spread to five continents. The speed of the spread of the SARS epidemic was unprecedented due to the highly efficient intercontinental transportation. An international collaborative effort through the World Health Organization (WHO) has helped to identify the aetiological agent about 1 month after the onset of the epidemic. The power of molecular biology and bioinformatics has enabled the complete decoding of the viral genome within weeks. Over 1000 publications on the phylogeny, epidemiology, genomics, laboratory diagnostics, antiviral, immunization, pathogenesis, clinical disease, and management accumulated within just 1 year. Although the exact animal reservoir of virus and how it evolved into a human pathogen are still obscure, accurate diagnosis and epidemiological control of the disease are now possible. This article reviews what is currently known about the virus and the disease.

Animals↗

Global impact of diarrheal diseases that are sampled by travelers: the rest of the hippopotamus.

Travelers who experience diarrhea (i.e., "turista") are exposed to the same pathogens and illnesses that pose some of the greatest threats to life and development among malnourished children in developing areas around the world, where inadequate water and poor sanitation remain. This article focuses on new findings about the impact, diagnosis, and control of these illnesses and the genetic predispositions of persons who acquire them. Despite the reductions in mortality due to dehydrating diarrhea, the morbidity associated with diarrheal illnesses continues unabated. Furthermore, we increasingly recognize the lasting detrimental effects of enteric infections that occur during early childhood on later physical and cognitive development and, in patients with acquired immunodeficiency syndrome, on the absorption of antiretroviral drugs. Genetic predispositions to inflammation and potential protection associated with such alleles as ApoE4, which are not suspected of being involved in diarrhea, remind us of how much we have to learn about the effect and interactions of enteric tropical infectious diseases with regard to our host genome. New diagnostic methods hold promise for improved recognition and, hopefully, control of enteric infections worldwide.

Diarrhea↗

Reliable identification of herpes simplex viruses by DNA restriction endonuclease analysis with EcoRI.

A simple procedure that permits the rapid identification of clinical isolates of herpes simplex virus (HSV, type 1 or type 2) on the basis of stable and type-specific differences in the EcoRI restriction endonuclease patterns of the HSV-1 and HSV-2 genomes was tested for reliability. Complete concordance was first obtained for 298 HSV isolates typed by standard laboratory procedures and by analysis of the DNA profiles. Two other HSV isolates showing intermediate biologic, immunologic, and/or biochemical properties were unambiguously identified by restriction endonuclease analysis of their genomes. Identical diagnostic results were also obtained by independent laboratories for another series of 150 HSV isolates after analysis of the EcoRI digestion products. As compared with other restriction enzymes, little intratypic variation in the DNA fragments selected for immediate identification of the isolates was found with EcoRI. The procedure used here, which does not require the purification and/or the radiolabeling of viral DNA, thus appears as most appropriate for the unambiguous typing of large numbers of HSV clinical isolates.

DNA Restriction Enzymes↗

Practical approaches to neurogenetic disease.

Over the past 15 years, molecular genetic advances have led to new approaches for evaluation of neurogenetic disease. New diagnostic tests are available, and in some cases new diseases have been defined. However, effective use of these new tests still relies on solid clinical assessment to prioritize testing and interpret results. This review presents applications of genetic advances to a series of neurogenetic disorders, emphasizing the specific uses of genetic testing and the clinical questions that may arise. The rapid expansion in molecular diagnostics and genomics has fundamentally changed the approach to neurogenetic illnesses. Use of molecular biologic techniques has elucidated new disease mechanisms and allowed the application of genetic concepts to classically nongenetic illnesses. This has led to a wealth of new clinical information and created new dilemmas in patient care. In addition, it has brought into common usage a series of clinical genetic terms, such as variable expressivity (the range of phenotypic features in which the same disease can manifest) and anticipation (the progressively earlier age of onset of a specific disease in a family). This review provides a practical approach for neurogenetic evaluation of individuals who are likely to present in neuro-ophthalmologic practices with inherited ataxias, myotonic dystrophy, oculopharyngeal dystrophy, and Parkinson disease.

Ataxia↗

Automated chromatin profiling with spa-ChIP-seq uncovers the impacts of condition variations.

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to study the genomic localization of DNA-associated proteins. However, conventional protocols include multiple manual steps that can introduce inconsistency and limit scalability, thereby restricting the inclusion of appropriate replicates and controls. Although the introduction of liquid handling platforms has improved reproducibility, most existing efforts have automated only a subset of the workflow, and extending automation to efficiently map non-histone proteins, such as chromatin regulators, remains challenging. Here, we present a fully automated implementation of our previously developed single-pot ChIP-seq protocol (Texari et al. 2021), named spa-ChIP-seq, which enables scalable processing of 8 to 96 ChIP-seq samples from crosslinked cells to sequencing-ready library in approximately three days with an estimated cost of $70 per sample. Benchmarking spa-ChIP-seq against manual ChIP-seq performed in parallel demonstrates comparable signal-to-noise ratio between the two workflows. Using spa-ChIP-seq, we systematically evaluate multiple parameters including shearing and crosslinking conditions, buffer compositions, and the ratio of antibody to cell-number. We find, for the first time to our knowledge, that weaker genomic localization signals are sensitive to changing the antibody to cell-number ratio, whereas the stronger signals remain unaffected. This finding underscores the importance of maintaining consistent antibody-to-cell-number ratio for comparative studies, such as treatment responses or chromatin-QTL mapping. The spa-ChIP-seq protocol is publicly available, including deck setups, operational parameters, and scripts. We envision that this robust, cost-efficient protocol will facilitate high-throughput, reproducible ChIP-seq analyses, supporting large-scale studies of antibody validation, compound screening, population genomics, and diagnostic frameworks.

Journal Article↗

Evanescent-imaging-ellipsometry-based microarray reader.

We describe the development of a label-less ellipsometric imaging microarray reader. The ability of the ellipsometric microarray reader to measure binding of sample to microarray surface is verified using oligonucleotide complementary DNA (cDNA) microarrays. Polarized light illuminates the microarray surface through a glass substrate at an angle beyond the critical angle and changes in the polarization of totally internally reflected light resulting from binding events on the microarray surface are measured. This polarization change is used to measure the thickness of biomolecules bound to the microarray. A prototype ellipsometric imaging microarray reader is constructed and calibrated, and the performance is evaluated with cDNA microarrays. The microarray reader measures changes in refractive index changes as small as 0.0024 and thickness changes as small as 0.28 nm. The optimization of angle of incidence and substrate refractive index necessary to achieve high sensitivity is also described. This ellipsometric technique offers an attractive alternative to fluorescence-microarray readers in some genomic, proteomic, diagnostic, and sensing applications.

Algorithms↗

Low degree of human T-cell leukemia/lymphoma virus type I genetic drift in vivo as a means of monitoring viral transmission and movement of ancient human populations.

We have studied the genetic variation of human T-cell leukemia/lymphoma virus type I (HTLV-I) isolates in the same individuals over time, as well as of HTLV-I isolates from various parts of the world. The viral DNA fragment studied encodes the carboxy terminus of gp46 and almost all of gp21, both of which are envelope glycoproteins. Samples were obtained from native inhabitants of five African countries, two South American countries, China, the French West Indies, and Haiti and included 14 patients with tropical spastic paraparesis/HTLV-I-associated myelopathy, 10 patients with adult T-cell leukemia, 1 patient with T-cell non-Hodgkin's lymphoma, and 3 healthy HTLV-I-seropositive individuals. DNA analyses of HTLV-I sequences demonstrated that (i) little or no genetic variation occurred in vivo in the same individual or in different hosts from the same region carrying the same virus, regardless of their clinical statuses; (ii) changes in nucleotide sequences in some regions of the HTLV-I genome were diagnostic of the geographical origin of the viruses; (iii) HTLV-I sequences from West African countries (Mauritania and Guinea Bissau) and some from the Ivory Coast and Central African Republic were virtually identical to those from the French West Indies, Haiti, French Guyana, and Peru, strongly suggesting that at least some HTLV-I strains were introduced into the New World through infected individuals during the slave trade events; and (iv) the Zairian HTLV-I isolates represent a separate HTLV-I cluster, in which intrastrain variability was also observed, and are more divergent from the other HTLV-I isolates. Because of the low genetic variability of HTLV-I in vivo, the study of the proviral DNA sequence in selected populations of infected individuals will increase our knowledge of the origin and evolution of HTLV-I and might be useful in anthropological studies.

Base Sequence↗

A comprehensive overview of monkeypox virus disease.

BACKGROUND: Monkeypox (mpox), caused by monkeypox virus (MPXV), re-emerged as a major global public health concern in 2022, resulting in widespread transmission beyond traditionally endemic regions. As of March 2026, 181,164 confirmed cases and 492 deaths had been reported across 144 countries globally. The unprecedented geographic spread of the outbreak highlighted important knowledge gaps in disease surveillance, prevention, and control. Given the ongoing global circulation of MPXV and the risk of future outbreaks, this review provides a comprehensive synthesis of current evidence on MPXV and mpox. METHODS: The literature, surveillance data, and public health reports available up to March 2026 were systematically reviewed and synthesized. The review comprehensively assesses viral biology, genetic diversity, epidemiology, transmission dynamics, clinical manifestations, pathogenesis, laboratory diagnosis, infection during pregnancy, host immune responses, immune evasion mechanisms, therapeutic interventions, and prevention strategies. FINDINGS AND CONCLUSIONS: Globally, the decline in public immunity following the cessation of routine smallpox vaccination, together with ongoing viral evolution, may have contributed to the resurgence of mpox. Advances in genomic surveillance, diagnostics, and public health preparedness have strengthened outbreak response; however, important gaps remain in understanding long-term immunity and optimal treatment strategies. This review summarizes current evidence on MPXV and mpox and highlights priorities for future research and public health interventions.

Antiviral therapy↗

Development of bridged nucleic acid analogues for antigene technology.

In the last decade, increased efforts have been directed toward the development of oligonucleotide-based technologies for genome analyses, diagnostics, or therapeutics. Among them, an antigene strategy is one promising technology to regulate gene expression in living cells. Stable triplex formation between the triplex-forming oligonucleotide (TFO) and the target double-stranded DNA (dsDNA) is fundamental to the antigene strategy. However, there are two major drawbacks in triplex formation by a natural TFO: low stability of the triplex and limitations of the target DNA sequence. To overcome these problems, we have developed various bridged nucleic acids (BNAs), and found that the 2',4'-BNA modification of oligonucleotides strongly promotes parallel motif triplex formation under physiological conditions. Some nucleobase analogues to extend the target DNA sequence were designed, synthesized, and introduced into the 2',4'-BNA structure. The obtained 2',4'-BNA derivatives with unnatural nucleobases effectively recognized a pyrimidine-purine interruption in the target dsDNA. Some other examples of nucleic acid analogues for stable triplex formation and extension of the target DNA sequence are also summarized.

Gene Expression↗

The influence of the expanding HIV genetic diversity on molecular diagnosis in the Philippines.

Since the discovery in the Philippines of the first AIDS case in 1984, several subtypes of HIV-1 have been discovered. From the persons diagnosed in the early 1980s only subtype B was found and thereafter other subtypes, C, D, E, and F were also identified although HIV was not particularly prevalent at that time. In this paper, we determine whether the rapid expansion of genetic diversity will influence molecular diagnosis by polymerase chain reaction (PCR). First, we determine HIV-1 subtype on env (V3) and gag (p24) gene as a means of rapid genetic diversity. Secondly, we tried to analyse and identify homologous regions of gag (p24) gene of HIV genome for diagnostic purposes of designing primers. Out of 46 samples analysed, six subtypes were classified based on gag and env gene subtyping namely: 33 subtype B/B (71.2%), nine subtype A/E and one each subtype C/C, A/B and G/A (2.2% each). As a result, occurrence of non-subtype B and inter-subtype recombinant contributed to expanding genetic diversity. Based on inter- and intra-subtype gag alignment, oligonucleotides (>10 bases in length) could be easily selected as a universal primer to produce the PCR product composed of more than 100bp. This indicates that the PCR technology can be safely used with limited length of primers for the diagnosis of HIV infection in this country.

Base Sequence↗

Individualised cancer therapeutics: dream or reality?

Traditional measures for treating metastatic cancer involve identification of the originating organ from which the neoplasm arose and empirical treatment with cytotoxic chemotherapy. Arguably, with the exception of haematological malignancies, demonstration of efficacy in solid tumours has been limited. Over the past half-decade, theoretical and technological advances have resulted in greater application of molecular science to drug design, which has enabled development of new 'targeted' therapeutics. However, generic chemotherapy paradigms have not changed. Establishment of the optimal population for 'targeted' therapeutics based on molecular diagnostics (i.e. genomic and proteomic characterisation) to identify sensitive tumour-host ecosystems in individual patients at the 'bedside', is not being done as part of routine oncology management. This review focuses on the concept of designing individualised therapeutics based on genomic and proteomic profile of malignant tissue. Genetic and epigenetic perturbations in signal pathways drive cancer growth, survival, invasion and metastatic spread. The burgeoning evidence which supports the concept that each patient's cancer has a unique complement of pathogenic genetic and molecular derangements is reviewed. Such evidence supports the strategy of individualised selection of a therapeutic complex from a menu of targeting options that best complements the specific oncomolecular profile of the 'tumour-host' system.

Antineoplastic Agents↗

The Progress of Gout Prediction Models Based on Multi-source Data.

INTRODUCTION: Gout, a highly serious inflammatory disease that is caused by monosodium urate crystals, is becoming an increasingly significant health concern. Artificial Intelligence and multi-omics-based research have made significant gains for the early detection and prevention of gout based on diverse approaches. This review intends to summarize current advances in forecasting gout susceptibility and gout-related symptoms, evaluate the predictive efficacy of different features, and ascertain which clinical and omics characteristics are most effective in these prediction models. METHODS: We explored the PubMed database after 2010 using keywords such as "gout", "predictive model", "risk prediction", and "machine learning", and confined our search to Englishlanguage articles. The original peer-reviewed research articles that developed gout models were selected. Research that was not original or lacked internal validation was excluded. RESULTS: Clinical features, genomics, microbiomics, radiomics, and metabolomics have been utilized to construct models related to gout and have demonstrated excellent predictive performance. Multisource data prediction models usually exhibit better effectiveness. DISCUSSION: Gout-oriented models performed excellently in predictive performance but present limitations in certain clinical and omics domains. However, if they are to affect actual patient care, they must overcome some external confirmation roadblocks and the fiscal and practical implications they will face ahead of time. CONCLUSION: This review indicates that clinical and multi-omics models of gout are significant instruments for clinical decision-making. The models constructed in these studies may be crucial for the treatment of gout and its practical benefits.

Gout↗

Beyond antibiotics: artificial intelligence-enabled anti-infective ecosystems for next-generation precision therapeutics against antimicrobial resistance.

The rapid global expansion of antimicrobial resistance (AMR) threatens to undermine decades of progress in infectious disease management and highlights the limitations of conventional antibiotic-centered therapeutic strategies. Although emerging technologies-including antimicrobial peptides, bacteriophage therapy, CRISPR-based antimicrobials, microbiome therapeutics, anti-virulence approaches, nanotechnology-enabled drug delivery, and artificial intelligence (AI)-have individually demonstrated considerable promise, they are predominantly being developed as independent interventions rather than as coordinated components of an integrated therapeutic strategy. This Perspective proposes the Intelligent Anti-Infective Ecosystem (IAIE) as a conceptual systems-level framework that computationally integrates multimodal diagnostics, pathogen genomics, microbiome profiling, AI-assisted decision support, programmable precision therapeutics, ecological monitoring, and longitudinal clinical feedback within a continuously learning dynamically optimized workflow. Unlike existing paradigms that primarily optimize individual technologies or therapeutic decisions, IAIE emphasizes closed-loop coordination among complementary antimicrobial approaches to support precision-guided infection management while preserving microbiome integrity and mitigating resistance selection pressure. We further outline the core components, operational principles, translational challenges, and technology readiness of the major therapeutic platforms that could contribute to such an ecosystem, while distinguishing clinically established interventions from emerging experimental strategies. Importantly, IAIE should be interpreted as a prospective conceptual architecture rather than an existing clinical platform. Its proposed clinical value remains to be established through sequential computational, preclinical, and prospective clinical investigations using standardized microbiological, ecological, and patient-centered outcome measures. By framing antimicrobial innovation within an responsive systems perspective, IAIE provides a roadmap for future multidisciplinary research aimed at integrating artificial intelligence and systems microbiology to enable sustainable management of antimicrobial resistance.

Humans↗