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Background: Yellow mosaic disease (YMD) is the most devastating disease of soybean under north Indian conditions. A recombinant inbred line population derived from SL 958 (R) × AGS 456 (S) was used to map the genes imparting YMD resistance. Genotyping by sequencing (GBS) of 148 individuals and the parents was used to identify polymorphic SNPs in the population. These were used to generate linkage maps and subsequently map the QTL., Results: A QTL, MYMIV 1-1.1, was mapped onto chromosome 6. The QTL was mapped at a genetic distance of 114.31 cM, with likelihood ratio of 81.34 (LOD 17.68), explaining 33.80% of the variation for the trait, with an additive effect of 1.22. MYMIV 1-1.1 was flanked by SNPs Gm06_12614920 explaining 33.80% of variation and Gm06_12887789 explaining 31.04% of the variation. The QTL region spanned for a total of 2.798 Mbp., Conclusion: The QTL was mapped in an approximately 4 cM region. Flanking SNPs can be developed into linked markers for effective marker-assisted selection. Out of the genes in the QTL region, Glyma.06G161700 (Suppressor of Gene Silencing/SGS3) is the strongest contender for the resistance gene. This is the first study documenting GBS-based mapping of YMD resistance in soybean. © 2024 Society of Chemical Industry., (© 2024 Society of Chemical Industry.)

Recent advancements in tissue engineering and regenerative medicine have introduced promising strategies to address tissue and organ deficiencies. This review highlights the critical role of short peptides, particularly their ability to self-assemble into matrices that mimic the extracellular matrix (ECM). These low molecular weight peptides exhibit target-specific activities, modulate gene expression, and influence cell differentiation pathways. They are stable, programmable, non-cytotoxic, biocompatible, biodegradable, capable of crossing the cell membrane and easy to synthesize. This review underscores the importance of peptide structure and concentration in directing stem cell differentiation and explores their diverse biomedical applications. Peptides such as Aβ1-40, Aβ1-42, RADA16, A13 and KEDW are discussed for their roles in modulating stem cell differentiation into neuronal, glial, myocardial, osteogenic, hepatocyte and pancreatic lineages. Furthermore, this review delves into the underlying signaling mechanisms, the chemistry and design of short peptides and their potential for engineering biocompatible materials that mimic stem cell microenvironments. Short peptide-based biomaterials and scaffolds represent a promising avenue in stem cell therapy, tissue engineering, and regenerative medicine.

Recent advancements in nanotherapeutics have revolutionized cancer treatment through the integration of diagnostic and therapeutic modalities, known as theranostics. This critical review examines the current landscape of nanotherapeutics for various cancers, such as bladder and head and neck squamous cell carcinoma, highlighting current advancements in nanotherapeutics and challenges. Key approaches discussed include biomimetic smart nanocarriers, polymeric smart nanocarriers, inorganic-based smart nanocarriers, and nanorobots. Furthermore, diverse nanomaterials have been explored in theranostics, including liposomes, polymeric nanoparticles, and inorganic nanoparticles such as quantum dots and mesoporous silica nanoparticles. Furthermore, the integration of imaging techniques such as surface-enhanced Raman scattering (SERS) and positron emission tomography (PET) with therapeutic nanoparticles has been analyzed for potential clinical applications., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Graphene quantum dots (GQDs) are highly valued for their chemical stability, tunable size, and biocompatibility. Utilizing green chemistry, a microwave-assisted synthesis method was employed to produce water-soluble GQDs from Mangifera Indica leaf extract. This approach is efficient, cost-effective, and environmentally friendly, offering reduced reaction times, energy consumption, and uniform particle sizes, and has proven advantageous over other methods. Water-soluble GQDs were synthesized using Mangifera Indica leaf extract, which ranged less than 15 nm in diameter, confirmed by high-resolution transmission electron microscopy with a lattice spacing of 0.34 nm. The GQDs exhibited strong photoluminescence with bright red fluorescence under UV light and excitation-independent emission at 662 nm with excitation wavelengths ranging from 300 to 500 nm, achieving a quantum yield of 10.3%. A peak at 27.2˚ was recorded corresponding to the graphite's (002) plane diffraction peak. Raman spectroscopy confirmed their graphitic nature and sp 2 crystallinity, with an intensity ratio of D and G peak I D /I G ratio of 1.12. Biocompatibility assays (MTT and live/dead) showed better results at lower concentrations (1 mg/ml) while higher concentrations (2 mg/ml) showed reduced efficacy. Antioxidant tests revealed increased DPPH scavenging activity with higher GQD concentrations and longer incubation times. The GQDs demonstrated excellent performance as fluorescent biosensors for Ni 2 ⁺ (0.15 ppm) and Fe 3 ⁺ (0.20 ppm), with high selectivity in river water samples, highlighting their potential for environmental and health applications., Competing Interests: Declarations. Ethics Approval: This study did not involve human participants, animals, or other subjects requiring ethical approval. Conflict of Interest: The authors declare no competing interests., (© 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Humanitarian crises bring unique, and potentially growing challenges to people with type 1 diabetes (T1D). We aimed to determine, in youth with T1D (mean age (± 1SD) 0-17.9 years) within and coming from humanitarian crises settings (HCS), the reported prevalence that meet international consensus targets for glycaemic, blood pressure and lipid management, and incidence of severe hypoglycaemia or diabetic ketoacidosis., Methods: A narrative review of quantitative data was conducted, using a systematic process. MEDLINE (Ovid), Global Health, Web of Science, Scopus, Embase, CINAHL, APA PsycINFO, Cochrane trials, and the reference lists of eligible records were searched (January 2014-February 2024); ten records covering ten separate studies were retrieved., Results: Glycaemic management was consistently suboptimal in HCS. However, among individuals coming from HCS, glycaemia varied. Across both groups, data relating to blood pressure, lipids, severe hypoglycaemia or diabetic ketoacidosis were either unavailable or limited., Conclusion: Findings expose the dearth of data relating to defined youth with T1D within and coming from HCS, leaving the status of this population largely uncharacterised. With limited data indicating suboptimal T1D management, there is a pressing need for the development of a consensus guideline on, and core indicators relating to such youth within and coming from HCS, plus monitoring systems and outcome data., Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

The application of nanotechnology in medical biology has seen a significant rise in recent years because of the introduction of novel tools that include supramolecular systems, complexes, and composites. Dendrimers are one of the remarkable examples of such tools. These spherical, regularly branching structures with enhanced cell compatibility and bioavailability have shown to be an excellent option for gene or drug administration. They are the fourth important architectural group of polymers after the three well-known types (branched, cross-linked, and linear polymers). These tiny macromolecules generate nanometer-size structures consisting of branching, with identical units assembled around a central core. By regulating dendrimer synthesis, it is possible to manipulate both their molecular weight and chemical content carefully, permitting predictable tailoring of their biocompatibility and pharmacokinetics, making them a promising candidate for biomedical uses. In contrast to their more easily obtainable synthetic techniques and comparable functions in hyperbranched polymers, dendrimers have demonstrated efficacy in biological applications, exhibiting remarkable sample purity and synthesizing reproducibility. Dendrimers are appealing as basic materials for manufacturing nanomaterials for uses in many different disciplines because of their highly specified chemical structure and globular form. Thus, much effort has been made to create functional materials with dendrimers. Especially looking at dendrimer-based nanomaterials meant for use in the biomedical domain, this review discusses the design, types, properties, and function of bionanomaterials employing several techniques, including surface modification, assembly, and hybrid development, and their uses.

Different modalities of DNA/collagen complexes have been utilized primarily for gene delivery studies. However, very few studies have investigated the potential of these complexes as bioactive scaffolds. Further, no studies have characterized the DNA/collagen complex formed from the interaction of the self-assembled DNA macrostructure and collagen. Toward this investigation, we report herein the fabrication of novel bioactive scaffolds formed from the interaction of sequence-specific, self-assembled DNA macrostructure and collagen type I. Varying molar ratios of DNA and collagen resulted in highly intertwined fibrous scaffolds with different fibrillar thicknesses. The formed scaffolds were biocompatible and presented as a soft matrix for cell growth and proliferation. Cells cultured on DNA/collagen scaffolds promoted the enhanced cellular uptake of transferrin, and the potential of DNA/collagen scaffolds to induce neuronal cell differentiation was further investigated. The DNA/collagen scaffolds promoted neuronal differentiation of precursor cells with extensive neurite growth in comparison to the control groups. These novel, self-assembled DNA/collagen scaffolds could serve as a platform for the development of various bioactive scaffolds with potential applications in neuroscience, drug delivery, tissue engineering, and in vitro cell culture.

Aims: Women with gestational diabetes mellitus (GDM) have a high risk of developing type 2 diabetes (T2D). Readiness for behaviour change to mitigate this risk may be low after pregnancy and may further decrease over time without appropriate interventions. This study aimed to evaluate readiness for behaviour change in the first and second postpartum years in women with recent GDM to determine the best timing for lifestyle interventions to prevent T2D., Methods: This study included a subset of women with GDM between 2009 and 2013 in Ontario, Canada from a larger prospective cohort study who completed a survey in the first and second postpartum years (N = 329). The primary outcome was stage of readiness for behaviour change for diet and physical activity, compared between the first and second postpartum years., Results: The mean age was 34.3 ± 4.4 standard deviation (SD) years and mean pre-pregnancy body-mass index (BMI) was 26.7 ± 6.9 kg/m 2 . In the first postpartum year, 86% of women reported a pre-action stage of change, which was 87% by the second postpartum year (p = 0.646). Non-Caucasian ethnicity was associated with lower odds of being in the action stage of readiness for behaviour change overall and for physical activity in both time periods., Conclusions: Most postpartum women with recent GDM are in a pre-action stage of change after delivery, which does not increase by the second postpartum year. Behavioural interventions should continue to be prioritized in postpartum women with GDM to optimize this slim window of opportunity for T2D prevention., (© 2024 Diabetes UK.)

Hydrogels are pivotal in tissue engineering, regenerative medicine, and drug delivery applications. Existing hydrogel platforms are not easily customizable and often lack precise programmability, making them less suited for 3D tissue culture and programming of cells. DNA molecules stand out among other promising biomaterials due to their unparalleled precision, programmability, and customization. In this study, we introduced a palette of novel cellular scaffolding platforms made of pure DNA-based hydrogel systems while improving the shortcomings of the existing platforms. We showed a quick and easy one step synthesis of DNA hydrogels using thermal annealing based on sequence specific hybridization strategy. We also demonstrated the formation of multi-armed branched supramolecular scaffolds with custom mechanical stiffness, porosity, and network density by increasing or decreasing the number of branching arms. These mechanically tuneable DNA hydrogels proved to be a suitable suitable platform for modulating the physiological processes of retinal pigment epithelial cells (RPE1). In-vitro studies showed dynamic changes at multiple levels, ranging from a change in morphology to protein expression patterns, enhanced membrane traffic, and proliferation. The soft DNA hydrogels explored here are mechanically compliant and pliable, thus excellently suited for applications in cellular programming and reprogramming. This research lays the groundwork for developing a DNA hydrogel system with a higher dynamic range of stiffness, which will open exciting avenues for tissue engineering and beyond., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Dhiraj Bhatia reports financial support was provided by Indian Institute of Technology Gandhinagar. Dhiraj Bhatia reports a relationship with Indian Institute of Technology Gandhinagar that includes: employment. None If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The discipline of 3D cell modeling is currently undergoing a surge of captivating developments that are enhancing the realism and utility of tissue simulations. Using bioinks which represent cells, scaffolds, and growth factors scientists can construct intricate tissue architectures layer by layer using innovations like 3D bioprinting. Drug testing can be accelerated and organ functions more precisely replicated owing to the precise control that microfluidic technologies and organ-on-chip devices offer over the cellular environment. Tissue engineering is becoming more dynamic with materials that can modify their surroundings with the advent of hydrogels and smart biomaterials. Advances in spheroids and organoids are not only bringing us towards more effective and customized therapies, but they are also improving their ability to resemble actual human tissues. Confocal and two-photon microscopy are examples of advanced imaging methods that provide precise images of the functioning and interaction of cells. Artificial Intelligence models have applications for enhanced scaffold designs and for predicting the response of tissues to medications. Furthermore, via strengthening predictive models, optimizing data analysis, and simplifying 3D cell culture design, artificial intelligence is revolutionizing this field. When combined, these technologies are improving our ability to conduct research and moving us toward more individualized and effective medical interventions., Competing Interests: Declarations. Competing Interests: None. Ethical Approval: Not applicable. Consent to Participate: Not applicable. Consent to Publish: Not applicable., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Predicting substance use in adolescence is a difficult yet important task in developing effective prevention. We aim to extend previous findings on the linear associations between familiarity with (knowledge of) substances in childhood and subsequent substance use in adolescence through a latent class analysis (LCA) to create risk profiles based on substance familiarity., Method: Using the ABCD Study ® sample, we conducted an LCA using 18 binary substance familiarity variables ( n  = 11,694 substance-naïve youth). Complementary analyses investigated the relationship between LCA groups and (1) longitudinal use, (2) use initiation, and (3) early use., Results: The optimal LCA resulted in a four-class solution: Naïve, Common, Uncommon, and Rare, with each group increasing in both the number and rarity of known substances. Analysis 1 revealed an increased risk in use over time among both the Uncommon and Rare groups (ORs = 2.08 and 5.55, respectively, p ' s  < 0.001) compared to the Common group. Analysis 2 observed a decreased risk for initiation between the Naïve and Common groups (OR = 0.61, p  = 0.009); however, the Uncommon and Rare groups were at an increased risk compared to the Common group (ORs = 2.08 and 3.42, respectively, p ' s  < 0.001). Analysis 3 found an increased risk of early use between the Common and Uncommon groups (OR = 1.92, p  < 0.001) with a similar trend between the Common and Rare groups (OR = 1.90, p  = 0.06)., Conclusion: These results highlight distinct risk profiles for adolescent substance use based on substance familiarity in middle childhood. Current work could be applied as an early screening tool for clinicians to identify those at risk for adolescent substance use.