Biomodulatory Effects of Molecular Delivery in Human T Cells Using 3D-Printed Acoustofluidic Devices.

OBJECTIVE: Cell-based therapies have shown significant promise for treating many diseases, including cancer. Current cell therapy manufacturing processes primarily utilize viral transduction to insert genomic material into cells, which has limitations, including variable transduction efficiency and extended processing times. Non-viral transfection techniques are also limited by high variability or reduced molecular delivery efficiency. Novel 3D-printed acoustofluidic devices are in development to address these challenges by delivering biomolecules into cells within seconds via sonoporation. METHODS: In this study, we assessed biological parameters that influence the ultrasound-mediated delivery of fluorescent molecules (i.e., calcein and 150 kDa FITC-Dextran) to human T cells using flow cytometry and confocal imaging. RESULTS: Low cell plating densities (100,000 cells/mL) enhanced molecular delivery compared to higher cell plating densities (p < 0.001), even though cells were resuspended at equal concentrations for acoustofluidic processing. Additionally, cells in the S phase of the cell cycle had enhanced intracellular delivery compared to cells in the G2/M phase (p < 0.001) and G0/G1 phase (p < 0.01), while also maintaining higher viability compared to G0/G1 phase (p < 0.001). Furthermore, the calcium chelator (EGTA) decreased overall molecular delivery levels. Confocal imaging indicated that the actin cytoskeleton had important implications on plasma membrane recovery dynamics after sonoporation. In addition, confocal imaging indicates that acoustofluidic treatment can permeabilize the nuclear membrane, which could enable rapid intranuclear delivery of nucleic acids. CONCLUSIONS: The results of this study demonstrate that a 3D-printed acoustofluidic device can enhance molecular delivery to human T cells, which may enable improved techniques for non-viral processing of cell therapies.

Development of Preliminary Integrated Health Care Clinical Competencies for United States Doctor of Chiropractic Programs: A Modified Delphi Consensus Process.

Background: There has been rapid growth of chiropractors pursuing career opportunities in both public and private hospitals and other integrated care settings. Chiropractors that prosper in integrated care settings deliver patient-centered care, focus on the institutional mission, understand and adhere to organizational rules, and are proficient in navigating complex systems. The Council on Chiropractic Education Accreditation Standards do not outline specific meta-competencies for integrated care clinical training. Objective: The purpose of this study was to develop preliminary integrated health care competencies for DC programs to guide the advancement of clinical chiropractic education. Methods: A systematic literature search was performed. Articles were screened for eligibility and extracted in duplicate. Domains and seed statements were generated from this literature, piloted at a conference workshop, and evaluated via a modified Delphi consensus process. Of 42 invited, 36 chiropractors participated as panelists. Public comment period yielded 20 comments, none resulting in substantive changes to the competencies. Results: Of 1718 citations, 23 articles met eligibility criteria. After 2 modified Delphi rounds, consensus was reached on all competency statements. A total of 78 competency statements were agreed upon, which encompassed 4 domains and 11 subdomains. The 4 domains were: 1) Collaboration, (2) Clinical Excellence, (3) Communication, and (4) Systems Administration. Conclusion: We identified 78 preliminary competencies appropriate for preparing DC students and early career chiropractors for clinical practice in integrated healthcare settings. Educational programs may consider these competencies for curricular design and reform to strengthen DC program graduates for integrated practice, advanced training, and employment.

National and regional population attributable fractions for anemia risk factors (iron, folate, and vitamin B12) in Belize: potential impact of fortification.

Objective: To estimate the national and regional population attributable fraction (PAF) and potential number of preventable anemia cases for three nutritional risk factors (iron, red blood cell folate [RBCF], and vitamin B12 deficiencies) among women of childbearing age in Belize. Methods: A national probability-based household and micronutrient survey capturing sociodemographic and health information was conducted among 937 nonpregnant Belizean women aged 15-49 years. Blood samples were collected to determine hemoglobin, ferritin, alpha-1-glycoprotein (AGP), RBCF, and vitamin B12 status. All analyses used sample weights and design variables to reflect a complex sample survey. Logistic regression was used to determine adjusted prevalence risk (aPR) ratios, which were then used to estimate national and regional PAF for anemia. Results: The overall prevalence of anemia (hemoglobin <12 g/dL) was 21.2% (95% CI [18.7, 25.3]). The prevalence of anemia was significantly greater among women with iron deficiency (59.5%, 95% CI [48.7, 69.5]) compared to women without iron deficiency (15.2%, 95% CI [12.2, 18.3]; aPR 3.9, 95% CI [2.9, 5.1]). The three nutritional deficiencies examined contributed to 34.6% (95% CI [22.1, 47.1]) of the anemia cases. If all these nutritional deficiencies could be eliminated, then an estimated 5 953 (95% CI [3 807, 8 114]) anemia cases could be prevented. Conclusions: This study suggests that among women of child-bearing age in Belize, anemia cases might be reduced by a third if three modifiable nutritional risk factors (iron, RBCF, and vitamin B12 deficiencies) could be eliminated. Fortification is one potential strategy to improve nutritional status and reduce the burden of anemia in this population.

Correlative multimodal optical and X-ray fluorescence imaging of brominated fluorophores.

Imaging with multiple modalities can maximise the information gained from the analysis of a single sample. probes for optical fluorescence and X-ray fluorescence microscopy based on brominated 4-amino-1,8-naphthalimide and BODIPY scaffolds have been successfully designed and synthesised. Herein we show that these prototype probes, based on each of these scaffolds, can be imaged in two different cancer cell lines, and that the respective optical fluorescence and X-ray fluorescence signals are well correlated in these images.

QTL analysis of divergent floral morphology traits between Gilia yorkii and G. capitata.

Speciation is a complex process typically accompanied by significant genetic and morphological differences between sister populations. In plants, divergent floral morphologies and pollinator differences can result in reproductive isolation between populations. Here, we explore floral trait differences between two recently diverged species, Gilia yorkii and G. capitata. The distributions of floral traits in parental, F1, and F2 populations are compared, and groups of correlated traits are identified. We describe the genetic architecture of floral traits through a quantitative trait locus analysis using an F2 population of 187 individuals. While all identified quantitative trait locus were of moderate (10-25%) effect, interestingly, most quantitative trait locus intervals were non-overlapping, suggesting that, in general, traits do not share a common genetic basis. Our results provide a framework for future identification of genes involved in the evolution of floral morphology.

Genetic mapping reveals the complex genetic architecture controlling slow canopy wilting in soybean.

In soybean [Glycine max (L.) Merr.], drought stress is the leading cause of yield loss from abiotic stress in rain-fed US growing areas. Only 10% of the US soybean production is irrigated; therefore, plants must possess physiological mechanisms to tolerate drought stress. Slow canopy wilting is a physiological trait that is observed in a few exotic plant introductions (PIs) and may lead to yield improvement under drought stress. Canopy wilting of 130 recombinant inbred lines (RILs) derived from Hutcheson × PI 471938 grown under drought stress was visually evaluated and genotyped with the SoySNP6K BeadChip. Over four years, field evaluations of canopy wilting were conducted under rainfed conditions at three locations across the US (Georgia, Kansas, and North Carolina). Due to the variation in weather among locations and years, the phenotypic data were collected from seven environments. Substantial variation in canopy wilting was observed among the genotypes in the RIL population across environments. Three QTLs were identified for canopy wilting from the RIL population using composite interval mapping on chromosomes (Chrs) 2, 8, and 9 based on combined environmental analyses. These QTLs inherited the favorable alleles from PI 471938 and accounted for 11, 10, and 14% of phenotypic variation, respectively. A list of 106 candidate genes were narrowed down for these three QTLs based on the published information. The QTLs identified through this research can be used as targets for further investigation to understand the mechanisms of slow canopy wilting. These QTLs could be deployed to improve drought tolerance through a targeted selection of the genomic regions from PI 471938.

Turns while walking among individuals with Parkinson's disease following overground locomotor training: A pilot study.

BACKGROUND: Individuals with Parkinson's disease are challenged in making turns while walking, evidenced by reduced intersegmental coordination and reduced dynamic postural stability. Although overground locomotor training previously improved ambulation among people with Parkinson's disease, its effect on walking turns remained unknown. We sought to understand the effects of overground locomotor training on walking turns among individuals with mild-Parkinson's disease. METHODS: Twelve participants with Parkinson's (7 Males/5 Females; Age: 68.5 ± 6.4 years) completed twenty-four sessions lasting approximately 60 min and over 12-15 weeks. Baseline and follow-up assessments included the ten-minute walk test using wearable sensors. Primary outcomes included changes to intersegmental coordination, measured by peak rotation and normalized peak rotation, and dynamic postural stability, measured by peak turn velocities in the frontal and transverse planes. Statistical analysis included one-tailed paired t-tests and Cohen's d effect sizes with α = 0.05. FINDINGS: No effects of overground locomotor training on mean peak thoracic rotation (+0.23 ± 4.24°; Cohen's d = 0.05; P = 0.45) or mean normalized peak thoracic rotation (-0.59 ± 5.52 (unitless); Cohen's d = 0.10; P = 0.45) were observed. Moderate and small effects of overground locomotor training were observed on mean peak turn velocities in the frontal (+1.59 ± 2.18°/s; Cohen's d = 0.43; P = 0.01) and transverse planes (+0.88 ± 3.18°/s; Cohen's d = 0.25; P = 0.18). INTERPRETATION: This pilot study provides preliminary evidence suggesting that individuals with mild-Parkinson's moderately improved frontal plane dynamic postural stability after overground locomotor training, likely attenuating the perturbations experienced while turning. CLINICAL TRIAL REGISTRATION: NCT03864393.

Membraneless and membrane-bound organelles in an anhydrobiotic cell line are protected from desiccation-induced damage.

Anhydrobiotic species can survive virtually complete water loss by entering a reversible ametabolic glassy state that may persist for years in ambient conditions. The Pv11 cell line was derived from the egg mass of the anhydrobiotic midge, Polypedilum vanderplanki, and is currently the only available anhydrobiotic cell line. Our results demonstrate that the necessary preconditioning for Pv11 cells to enter anhydrobiosis causes autophagy and reduces mitochondrial respiration by over 70%. We speculate that reorganizing cellular bioenergetics to create and conserve energy stores may be valuable to successfully recover after rehydration. Furthermore, mitochondria in preconditioned cells lose their membrane potential during desiccation but rapidly restore it within 30 min upon rehydration, demonstrating that the inner mitochondrial membrane integrity is well-preserved. Strikingly, the nucleolus remains visible immediately upon rehydration in preconditioned cells while absent in control cells. In contrast, a preconditioning-induced membraneless organelle reformed after rehydration, demonstrating that membraneless organelles in Pv11 cells can be either stabilized or recovered. Staining the endoplasmic reticulum and the Golgi apparatus revealed that these organelles fragment during preconditioning. We hypothesize that this process reduces sheering stress caused by rapid changes in cellular volume during desiccation and rehydration. Additionally, preconditioning was found to cause the filamentous-actin (F-actin) network to disassemble significantly and reduce the fusion of adjacent plasma membranes. This study offers several exciting avenues for future studies in the animal model and Pv11 cell line that will further our understanding of anhydrobiosis and may lead to advancements in storing sensitive biologics at ambient temperatures for months or years.

Medication recommendations for treatment of lumbosacral radiculopathy: A systematic review of clinical practice guidelines.

OBJECTIVE: The purpose of this systematic review was to ascertain guideline-recommended pharmaceutical approaches to lumbosacral radicular symptoms, assess the quality of the clinical practice guidelines (CPGs) with the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool, and qualitatively synthesize the guideline recommendations. LITERATURE SURVEY: Literature searches were performed in PubMed, Cochrane Database of Systematic Reviews, Index to Chiropractic Literature, Allied and Complementary Medicine Database (AMED), Cumulative Index for Nursing and Allied Health Literature (CINAHL), and Physiotherapy Evidence Database (PEDro). We included guidelines published between January 1, 2017, and January 9, 2022, written in the English language, related to radiculopathy, sciatica, and/or low back pain with leg pain, and that provided recommendations on oral medication. METHODOLOGY: The review was performed in accordance with Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) and the protocol was pre-registered with the International Prospective Register of Systematic Reviews (PROSPERO). Eligibility screening, full-text review, extraction of information pertaining to pharmacological management, and synthesis of results were performed independently by two authors and a third investigator was recruited to arbitrate any disagreements. The AGREE II tool was administered by four authors to appraise CPG quality. SYNTHESIS: After screening 413 citations and assessing 37 full-text articles, 11 CPGs met the inclusion criteria. They represented seven countries (Belgium, Canada, England, France, Japan, Korea, and United States) and three continents (Asia, Europe, and North America), as well as the Global Spine Care Initiative aimed at a worldwide presence. The mean overall AGREE II score was 87.1% (standard deviation [SD] 12.6%), generally reflecting high-quality CPGs. The highest domain mean score was for Clarity of Presentation (96.7%, SD 4.4%), and the lowest was Applicability (75.6%, SD 22.8%). Five classes of medications were recommended by at least one CPG: anticonvulsants, antidepressants, oral corticosteroids, nonsteroidal anti-inflammatory drugs (NSAIDs), and opioids. CONCLUSIONS: The most common medication class recommended by the CPGs for lumbar radiculopathy was antidepressants. No CPGs recommended prescribing acetaminophen, benzodiazepines, muscle relaxants, or antibiotics. There was very little agreement between the CPGs, and all the medication classes had at least one CPG recommended against its use. Three guidelines reviewed did not recommend any medications due to lack of supporting literature, and instead recommended nonpharmacologic therapy.

Model-Agnostic Binary Patch Grouping for Bone Marrow Whole Slide Image Representation.

Histopathology is the reference standard for pathology diagnosis, and has evolved with the digitization of glass slides [ie, whole slide images (WSIs)]. While trained histopathologists are able to diagnose diseases by examining WSIs visually, this process is time consuming and prone to variability. To address these issues, artificial intelligence models are being developed to generate slide-level representations of WSIs, summarizing the entire slide as a single vector. This enables various computational pathology applications, including interslide search, multimodal training, and slide-level classification. Achieving expressive and robust slide-level representations hinges on patch feature extraction and aggregation steps. This study proposed an additional binary patch grouping (BPG) step, a plugin that can be integrated into various slide-level representation pipelines, to enhance the quality of slide-level representation in bone marrow histopathology. BPG excludes patches with less clinical relevance through minimal interaction with the pathologist; a one-time human intervention for the entire process. This study further investigated domain-general versus domain-specific feature extraction models based on convolution and attention and examined two different feature aggregation methods, with and without BPG, showing BPG's generalizability. The results showed that using BPG boosts the performance of WSI retrieval (mean average precision at 10) by 4% and improves WSI classification (weighted-F1) by 5% compared to not using BPG. Additionally, domain-general large models and parameterized pooling produced the best-quality slide-level representations.

Native architecture of a human GBP1 defense complex for cell-autonomous immunity to infection.

All living organisms deploy cell-autonomous defenses to combat infection. In plants and animals, large supramolecular complexes often activate immune proteins for protection. In this work, we resolved the native structure of a massive host-defense complex that polymerizes 30,000 guanylate-binding proteins (GBPs) over the surface of gram-negative bacteria inside human cells. Construction of this giant nanomachine took several minutes and remained stable for hours, required guanosine triphosphate hydrolysis, and recruited four GBPs plus caspase-4 and Gasdermin D as a cytokine and cell death immune signaling platform. Cryo-electron tomography suggests that GBP1 can adopt an extended conformation for bacterial membrane insertion to establish this platform, triggering lipopolysaccharide release that activated coassembled caspase-4. Our "open conformer" model provides a dynamic view into how the human GBP1 defense complex mobilizes innate immunity to infection.

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.

This paper discusses some overlooked challenges faced when working with machine learning models for histopathology and presents a novel opportunity to support "Learning Health Systems" with them. Initially, the authors elaborate on these challenges after separating them according to their mitigation strategies: those that need innovative approaches, time, or future technological capabilities and those that require a conceptual reappraisal from a critical perspective. Then, a novel opportunity to support "Learning Health Systems" by integrating hidden information extracted by ML models from digitalized histopathology slides with other healthcare big data is presented.

Association between spinal manipulative therapy and lumbar spine reoperation after discectomy: a retrospective cohort study.

BACKGROUND: Patients who undergo lumbar discectomy may experience ongoing lumbosacral radiculopathy (LSR) and seek spinal manipulative therapy (SMT) to manage these symptoms. We hypothesized that adults receiving SMT for LSR at least one year following lumbar discectomy would be less likely to undergo lumbar spine reoperation compared to matched controls not receiving SMT, over two years' follow-up. METHODS: We searched a United States network of health records (TriNetX, Inc.) for adults aged ≥ 18 years with LSR and lumbar discectomy ≥ 1 year previous, without lumbar fusion or instrumentation, from 2003 to 2023. We divided patients into two cohorts: (1) chiropractic SMT, and (2) usual care without chiropractic SMT. We used propensity matching to adjust for confounding variables associated with lumbar spine reoperation (e.g., age, body mass index, nicotine dependence), calculated risk ratios (RR), with 95% confidence intervals (CIs), and explored cumulative incidence of reoperation and the number of SMT follow-up visits. RESULTS: Following propensity matching there were 378 patients per cohort (mean age 61 years). Lumbar spine reoperation was less frequent in the SMT cohort compared to the usual care cohort (SMT: 7%; usual care: 13%), yielding an RR (95% CIs) of 0.55 (0.35-0.85; P = 0.0062). In the SMT cohort, 72% of patients had ≥ 1 follow-up SMT visit (median = 6). CONCLUSIONS: This study found that adults experiencing LSR at least one year after lumbar discectomy who received SMT were less likely to undergo lumbar spine reoperation compared to matched controls not receiving SMT. While these findings hold promise for clinical implications, they should be corroborated by a prospective study including measures of pain, disability, and safety to confirm their relevance. We cannot exclude the possibility that our results stem from a generalized effect of engaging with a non-surgical clinician, a factor that may extend to related contexts such as physical therapy or acupuncture. REGISTRATION: Open Science Framework ( https://osf.io/vgrwz ).

Mechanisms of Uptake and Translocation of Thallium in Brassica Vegetables: An X-ray Fluorescence Microspectroscopic Investigation.

Most nonoccupational human exposure to thallium (Tl) occurs via consumption of contaminated food crops. Brassica cultivars are common crops that can accumulate more than 500 µg Tl g-1. Knowledge of Tl uptake and translocation mechanisms in Brassica cultivars is fundamental to developing methods to inhibit Tl uptake or conversely for potential use in phytoremediation of polluted soils. Brassica cultivars (25 in total) were subjected to Tl dosing to screen for Tl accumulation. Seven high Tl-accumulating varieties were selected for follow-up Tl dosing experiments. The highest Tl accumulating Brassica cultivars were analyzed by synchrotron-based micro-X-ray fluorescence to investigate the Tl distribution and synchrotron-based X-ray absorption near-edge structure spectroscopy (XANES) to unravel Tl chemical speciation. The cultivars exhibited different Tl tolerance and accumulation patterns with some reaching up to 8300 µg Tl g-1. The translocation factors for all the cultivars were >1 with Brassica oleracea var. acephala (kale) having the highest translocation factor of 167. In this cultivar, Tl is preferentially localized in the venules toward the apex and along the foliar margins and in minute hot spots in the leaf blade. This study revealed through scanning electron microscopy and X-ray fluorescence analysis that highly Tl-enriched crystals occur in the stoma openings of the leaves. The finding is further validated by XANES spectra that show that Tl(I) dominates in the aqueous as well as in the solid form. The high accumulation of Tl in these Brassica crops has important implications for food safety and results of this study help to understand the mechanisms of Tl uptake and translocation in these crops.

Recent Advances in the Biology and CD123-Directed Treatment of Blastic Plasmacytoid Dendritic Cell Neoplasm.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is an aggressive myeloid malignancy of the dendritic cell lineage that affects patients of all ages, though the incidence appears to be highest in patients over the age of 60 years. Diagnosis is based on the presence of plasmacytoid dendritic cell precursors expressing CD123, the interleukin-3 (IL-3) receptor alpha, and a distinct histologic appearance. Timely diagnosis remains a challenge, due to lack of disease awareness and overlapping biologic and clinical features with other hematologic malignancies. Prognosis is poor with a median overall survival of 8 to 14 months, irrespective of disease presentation pattern. Historically, the principal treatment was remission induction therapy followed by a stem cell transplant (SCT) in eligible patients. However, bridging to SCT is often not achieved with induction chemotherapy regimens. The discovery that CD123 is universally expressed in BPDCN and is considered to have a pathogenetic role in its development paved the way for the successful introduction of tagraxofusp, a recombinant human IL-3 fused to a truncated diphtheria toxin payload, as an initial treatment for BPDCN. Tagraxofusp was approved in 2018 by the United States Food and Drug Administration for the treatment of patients aged 2 years and older with newly diagnosed and relapsed/refractory BPDCN, and by the European Medicines Agency in 2021 for first-line treatment of adults. The advent of tagraxofusp has opened a new era of precision oncology in the treatment of BPDCN. Herein, we present an overview of BPDCN biology, its diagnosis, and treatment options, illustrated by clinical cases.

Assessment of back pain behaviors, attitudes, and beliefs of chiropractic research conference attendees after a biopsychosocial educational workshop.

OBJECTIVE: The purpose of this study was to assess the behaviors, attitudes, and beliefs of attendees of a chiropractic research conference (which included chiropractic students, clinicians, researchers, and educators) toward chronic low back pain (CLBP) before and after a biopsychosocial (BPS)-based CLBP educational workshop. METHODS: This single-arm intervention study used the Health Care Providers' Pain and Relationship Scale (HC-PAIRS) and CLBP-related clinic vignettes to assess behaviors, attitudes, and beliefs toward CLBP before and after a single 90-minute educational workshop. The HC-PAIRS is a self-reporting questionnaire that consists of 15 items rated on a 7-point rating scale, with a higher score suggesting a belief that pain is linked to movement and that recommendations should be given to avoid physical activities. RESULTS: The pre-education intervention HC-PAIRS and vignettes were completed by 40 of 56 attendees. A total of 18 participants completed the posteducation intervention HC-PAIRS and CLBP-related clinical vignettes. Most of participants identified as full-time clinicians, employees of the United States Department of Veterans Affairs, and musculoskeletal/neuromusculoskeletal providers. The pre-education intervention HC-PAIRS mean score was 44.8 (SD 9.22), and the postscore was 39.5 (SD 6.49). CONCLUSION: Findings suggest an immediate change in HC-PAIRS scores following a BPS-focused CLBP education intervention for a chiropractic audience. However, due to limitations related to sample size and target population, findings should be interpreted cautiously.

Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review.

Numerous machine learning (ML) models have been developed for breast cancer using various types of data. Successful external validation (EV) of ML models is important evidence of their generalizability. The aim of this systematic review was to assess the performance of externally validated ML models based on histopathology images for diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer. A systematic search of MEDLINE, EMBASE, CINAHL, IEEE, MICCAI, and SPIE conferences was performed for studies published between January 2010 and February 2022. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed, and the results were narratively described. Of the 2011 non-duplicated citations, 8 journal articles and 2 conference proceedings met inclusion criteria. Three studies externally validated ML models for diagnosis, 4 for classification, 2 for prognosis, and 1 for both classification and prognosis. Most studies used Convolutional Neural Networks and one used logistic regression algorithms. For diagnostic/classification models, the most common performance metrics reported in the EV were accuracy and area under the curve, which were greater than 87% and 90%, respectively, using pathologists' annotations/diagnoses as ground truth. The hazard ratios in the EV of prognostic ML models were between 1.7 (95% CI, 1.2-2.6) and 1.8 (95% CI, 1.3-2.7) to predict distant disease-free survival; 1.91 (95% CI, 1.11-3.29) for recurrence, and between 0.09 (95% CI, 0.01-0.70) and 0.65 (95% CI, 0.43-0.98) for overall survival, using clinical data as ground truth. Despite EV being an important step before the clinical application of a ML model, it hasn't been performed routinely. The large variability in the training/validation datasets, methods, performance metrics, and reported information limited the comparison of the models and the analysis of their results. Increasing the availability of validation datasets and implementing standardized methods and reporting protocols may facilitate future analyses.

Towards multimodal cellular imaging: optical and X-ray fluorescence.

Imaging techniques permit the study of the molecular interactions that underlie health and disease. Each imaging technique collects unique chemical information about the cellular environment. Multimodal imaging, using a single probe that can be detected by multiple imaging modalities, can maximise the information extracted from a single cellular sample by combining the results of different imaging techniques. Of particular interest in biological imaging is the combination of the specificity and sensitivity of optical fluorescence microscopy (OFM) with the quantitative and element-specific nature of X-ray fluorescence microscopy (XFM). Together, these techniques give a greater understanding of how native elements or therapeutics affect the cellular environment. This review focuses on recent studies where both techniques were used in conjunction to study cellular systems, demonstrating the breadth of biological models to which this combination of techniques can be applied and the potential for these techniques to unlock untapped knowledge of disease states.