Citations

Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide‐ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and limitations inherent in BioLMs, including data privacy and security concerns, interpretability issues, biases in training data and model outputs, and domain adaptation complexities. Finally, we highlight emerging trends and future directions, offering valuable insights to guide researchers and clinicians toward advancing BioLMs for increasingly sophisticated biological and clinical applications.

Abstract Hepatocellular carcinoma (HCC) mortality is increasing globally, partly due to the growing prevalence of nonviral liver diseases. Genome‐wide association studies (GWAS) have identified genetic variants associated with HCC development. Leveraging GWAS summary statistics and linkage disequilibrium score regression (LDSR), we investigated disease co‐development with hepatitis C virus‐negative (HCV‐negative) HCC to provide unique insights into HCC etiology and prioritize relationships for further causal inquiry. We utilized the LDSR statistical framework to estimate the genetic correlation and heritability between HCV‐negative HCC with 901 epidemiologic, behavioral, and clinical traits from the United Kingdom Biobank (UKBB). First, we set the threshold for observed scale heritability of each trait at 0.02 to ensure reliable inferences with adequate study power. Next, we observed significant positive genetic correlations between HCV‐negative HCC and blood‐based biomarkers of liver injury (ALT, GGT) and allostatic load (including glycated hemoglobin, blood pressure, and total albumin). We also identified a positive genetic correlation between HCV‐negative HCC and diseases associated with metabolic dysfunction‐associated steatotic liver disease (MASLD), including diabetes, hypertension, chronic ischemic heart disease, and others. Taken together, our results help to identify polygenic and pleiotropic signals related to different phenotypic traits associated with HCC and support further exploration of the predictive power of blood‐based biomarkers identified in this study for inferring HCC development among HCV‐negative individuals.

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.

AbstractBackgroundInfants born via Cesarean section (C‐section) often have a distinct gut microbiome and higher risks of atopic and immune‐related conditions than vaginally delivered infants. We evaluated whether a microbiome‐based program could shift gut microbiome composition and improve microbiome‐associated health outcomes in C‐section born infants.MethodsThis open‐label, randomized, controlled trial included full‐term C‐section‐born infants aged 0–3 months, randomized to an intervention (n = 25) or control arm (n = 29). Over 6 months, the intervention arm received two microbiome reports, personalized recommendations based on their microbiome, educational materials, and coaching calls focused on microbiome health. Parents reported health conditions via surveys. Primary outcome: Difference between study arms in relative abundance of key gut microbiome taxa and functional genes. Other outcomes: Changes in a C‐section index—a taxonomy‐based metric comparing C‐section‐associated taxa to vaginally‐associated taxa—and prevalence of atopic conditions.ResultsCompared to controls, the intervention arm had higher Bifidobacterium (p = .025, q = .121) and higher abundance of genes associated with human milk oligosaccharide degradation (e.g., α‐L‐fucosidase, p = .019, q = .046) at timepoint 2. In the intervention arm, the C‐section index decreased to a level similar to vaginally born infants (p = .807, q = .807). At the end of the intervention, atopic dermatitis prevalence was lower in the intervention arm than in controls (odds ratio, 0.17 [95% CI, 0.023–0.723], p = .031).ConclusionA personalized microbiome‐based program can modulate the gut microbiome of C‐section‐born infants and may reduce the risk of atopic conditions (ClinicalTrials.gov: NCT06424691).

Abstract Current discussion surrounding the clinical capabilities of generative language models (GLMs) predominantly center around multiple-choice question-answer (MCQA) benchmarks derived from clinical licensing examinations. While accepted for human examinees, characteristics unique to GLMs bring into question the validity of such benchmarks. Here, we validate four benchmarks using eight GLMs, ablating for parameter size and reasoning capabilities, validating via prompt permutation three key assumptions that underpin the generalizability of MCQA-based assessments: that knowledge is applied, not memorized, that semantic consistency will lead to consistent answers, and that situations with no answers can be recognized. While large models are more resilient to our perturbations compared to small models, we globally invalidate these assumptions, with implications for reasoning models. Additionally, despite retaining the knowledge, small models are prone to answer memorization. All models exhibit significant failure in null-answer scenarios. We then suggest several adaptations for more robust benchmark designs more reflective of real-world conditions.

Abstract Bispecific T-cell engagers (TCEs) targeting B-cell maturation antigen (BCMA) and CD3, induce deep hematologic responses in ∼60% of heavily pretreated patients with multiple myeloma (MM). We and others found that high tumor burden leads to resistance to TCE and novel strategies are urgently needed to improve responses in this setting. Ikaros degraders, including immunomodulatory drugs (IMiDs) and cereblon E3 ligase modulatory drugs (CELMoDs), represent logical partners for TCEs due to their direct anti-MM effects and additional immune-stimulatory activity; however, it is unclear how to optimally combine them with TCEs. Taking advantage of the immunocompetent IMiD-sensitive Vk∗MYChCRBN murine model of MM, we optimized strategies to overcome primary resistance to BCMA-TCEs and achieve sustained remission, while maintaining a manageable safety profile. The addition of anti–programmed cell death protein 1 (PD1) and pomalidomide reduced the T-cell exhaustion that occurs in response to TCEs in high tumor burden settings. This allowed for a higher degree of T-cell activation and significant improvement in response rates but also increased risk of lethal cytokine release syndrome (CRS). To moderate the response and prevent CRS, we evaluated Ikaros degraders and dexamethasone (DEX) with step-up–dosed TCEs. Pretreatment with iberdomide and DEX reshaped the bone marrow T-cell compartment, promoted infiltration of naïve T cells, and generated 100% response rates and the longest survival in subjects with high tumor burden. This was accompanied by more favorable T-cell profiling, with limited expansion of regulatory T cells and exhaustion. Overall, administering a TCE after DEX and iberdomide treatments provided deeper and more durable responses with a reduced risk of CRS.

This case describes a 74-year-old woman who developed post-surgical acute respiratory distress syndrome (ARDS) after Photodynamic Bone Stabilization System (PBSS) a balloon rupture with extravasation of approximately 20 mL of monomeric resin. The ARDS likely resulted from 2 possibilities: (1) displacement of fat or tumor embolism from PBSS insertion/inflation, displacement from bioinert monomers, or orthopedic screws; or (2) chemical inflammation/pneumonitis due to intravascular dissemination of bioinert monomeric resin. Though balloon rupture and/or fat embolism is a stated manufacturer risk, (IlluminOss. Accessed May 19, 2025. https://illuminoss.com/uploads/nuggets/60e47f517ee33862a5fcaab8/900356_T.pdf) this is the first published human case report of ARDS as a complication of PBSS balloon rupture.

Abstract Sex differences in cancer outcome, including that of glioblastoma (GBM), are shaped by biological, hormonal, and immunological factors and impact disease progression, treatment responses, survival, and tumor microenvironment (TME) interactions. Platelets regulate the immune responses and tumor progression in many cancers, but it is not clear how they contribute to these sex-based differences by affecting the dynamics of the TME. Here, we show that GBM patients exhibit heightened platelet reactivity driven by PAR4 signaling. In murine GBM models, both pharmacological inhibition of PAR4 using BMS986120 and genetic deletion of PAR4 significantly prolong survival in females but not males. This survival advantage is estrogen dependent: it is preserved in chromosomal male-hormonal female mice within the four-core genotype model and is rescued in ovariectomized mice treated with estrogen. The survival benefit is TME specific and is mediated by platelet-driven enhancement of CD8⁺ T cell infiltration into the tumor. Inhibition of platelet PAR4 signaling increases calcium signaling through an estrogen-dependent interaction between PAR4 and estrogen receptor β (ERβ)—a receptor interaction not previously described. PAR4-activated platelets within the TME suppress CD8⁺ T cell function, and depletion of CD8⁺ T cells abolishes both the tumor-induced platelet reactivity and the survival benefit conferred by PAR4 inhibition. These findings establish platelet-mediated PAR4 signaling as a critical driver of tumor progression and identify sex-specific immune responses as key to therapeutic efficacy.

OBJECTIVES: To compare whether femoral version more closely mirrors the contralateral femur or a population norm estimate of 15 degrees of anteversion. METHODS: Design: Radiologic observational study. Setting: Level I Trauma Center. Patient Selection Criteria: Patients with no history of anatomy-altering femoral injury who underwent bilateral lower extremity computed tomography scans. Outcome Measures and Comparisons: Computed tomographies were analyzed to measure femoral version on each side. The asymmetry in femoral version between left and right in each patient (interfemoral rotational variance [IRV]) was recorded. The difference of each femur's version from a proposed population mean of 15 degrees of anteversion was also recorded. RESULTS: A total of 219 patients with a mean femoral version of 14.9 degrees ± 10.5 degrees of anteversion were included. Mean IRV was 5.3 degrees, compared with 8.2 degrees of mean variation from the population norm of 15 degrees of anteversion (P < 0.001). Five percent of patients had IRV >15 degrees compared with 15% that had femoral rotation >15 degrees from the population mean of 15 degrees (P < 0.001). CONCLUSIONS: In the setting of a comminuted diaphyseal femur fracture, knowledge of the appropriate target for restoration of rotational alignment is critical. This radiologic cohort study found that on average, femoral version more closely mirrors an individual patient's contralateral femur as opposed to a population norm of 15 degrees of anteversion.

Case: An 8-year-old boy underwent open reduction and internal fixation for pelvic and femoral fractures following a crush injury. At nine months postoperatively, computed tomography demonstrated a triradiate physeal bar contralateral to operated hemipelvis. A navigated physeal bar excision with O-arm navigation and low-dose radiation protocol was performed. Conclusion: Triradiate bar excision presents a technically challenging procedure that may be offset by O-arm navigation utilization, which provides accurate, real-time imaging that facilitates complete physeal bar excision while mitigating risk of damage to surrounding structures. Our low-dose protocol yielded a total exposure of 0.914 mSv, comparable with 1.5 pelvic radiographs.