Pathology is the study of how diseases change the body, uncovering the hidden causes of illness and how they progress. From examining tissue samples to understanding molecular shifts, this field bridges the gap between basic science and patient care, offering crucial insights into everything from infections to cancer.

On Gist.Science, we track every new preprint in this vital area as it appears on bioRxiv and medRxiv. Our team processes these fresh findings to provide both clear, plain-language explanations and detailed technical summaries, ensuring that complex discoveries are accessible to everyone. Below are the latest pathology papers we have summarized from these leading servers.

Morphology of petiole bending, senescence, epinasty, along with necrotic scarring in tomato leaves infiltrated with virulent Ralstonia pseudosolanacearum

This study identifies novel, hrp-dependent patho-phenotypes in tomato leaves infiltrated with virulent *Ralstonia pseudosolanacearum*, including necrotic scarring, petiole bending, epinasty, and localized senescence, which distinguish the virulent strain from virulence-deficient mutants and other endophytes.

Jain, M., Kalita, S., Daimari, P. R., Rabha, Z., Begum, S., Dutta, L., Giri, S. J., Bhuyan, S., Kushwah, S., Kumar, A., Ray, S. K.2026-05-25🔬 pathology

Novel Biomaterial-Based Synovial Fluid Analysis Reveals Protective microRNA Signatures in a Mouse Model of Acute Synovitis-Driven Osteoarthritis

This study establishes a novel Tetra-Slime-based method for collecting murine synovial fluid and reveals that while acute synovitis initially drives cartilage degeneration via inflammatory mediators, protective microRNAs (miR-145-5p and miR-149-5p) are upregulated to mitigate progression, though long-term cartilage damage is ultimately dominated by mechanical stress rather than synovitis.

Takahata, K., Arakawa, K., Yasuda, T., Enomoto, S., Katashima, T., Sakai, T., Kokubun, T.2026-05-10🔬 pathology

Metabolic and Thermal Cues Shape IL 6 Responses and Disease Tolerance Mechanisms in Severe Malaria

This study utilizes an ex vivo co-culture system and clinical data to demonstrate that IL-6 responses in severe malaria are not driven by fever alone but by a metabolically gated interaction where febrile temperatures amplify inflammation only in the presence of pipecolic acid and sufficient lysophosphatidylcholine, highlighting the critical role of metabolic stress and host tolerance mechanisms in shaping disease outcomes.

ANAGU, L. O., Wassmer, S. C., Anagboso, I., Elo-ilo, J., Ezeagwuna, D., Amambua-Ngwa, A. C.2026-04-16🔬 pathology

Heterogeneous transmission estimation and strategy optimization for Chikungunya: a vector-borne modeling study differentiating age and sex

This study utilizes an age- and sex-structured dynamic model of China's largest Chikungunya outbreak to identify asymptomatic males aged 15–59 as the core transmission group and demonstrates that prioritizing mosquito population suppression within a synergistic, asymmetric intervention strategy can reduce infection rates by over 95% while addressing specific vulnerabilities in elderly females.

Li, J., Zhao, Z., Rui, J., Zhao, J., Luo, Q., Li, K., Song, W., Perez, S., Frutos, R., Su, Y., Chen, Q., Xiang, T., Chen, T.2026-04-15🔬 pathology

Characterization of a chronic UV-induced photoaging mouse model: insights into skin barrier dysfunction, extracellular matrix remodeling, and altered adipogenesis

This study establishes an eight-week chronic UV-exposure model in SKH-1 hairless mice to comprehensively characterize the progressive mechanisms of photoaging, revealing significant skin barrier dysfunction, extracellular matrix remodeling, and altered adipogenesis as key pathological features.

Bajerova, M., Sinova, R., Simek, M., Lehka, K., Ovesna, P., Cepa, M., Doleckova, I., Velebny, V., Nesporova, K., Kubala, L.2026-04-14🔬 pathology

Algorithm-Based Model for Gastrointestinal and Liver Histopathological Analysis Using VGG16 and Specialized Stains: Statistical Validation of Thresholds in AI-Driven Digital Pathology

This study demonstrates that while a VGG16-based AI model achieves perfect accuracy in classifying gastrointestinal tissues using specialized stains, it fails to diagnose liver conditions due to insufficient training data, highlighting the critical importance of dataset size for reliable AI-driven digital pathology in resource-limited settings.

Adeluwoye, A. O., Gbadegesin, M. O., James, F. M., Otegbade, P. S., Alabetutu, A.2026-04-11🔬 pathology

Myeloperoxidase promotes fibrosis by inhibiting cathepsin K to bias the lung toward ECM accumulation

This study reveals that myeloperoxidase (MPO) drives pulmonary fibrosis by post-translationally inhibiting the collagen-degrading enzyme cathepsin K, thereby shifting the lung toward excessive extracellular matrix accumulation and correlating elevated MPO levels with poor patient outcomes.

Link, P. A., Wellmerling, J. H., Meridew, J. A., Naoi, H., Prakash, Y., Rojas, M., Carmona, E. M., Tschumperlin, D. J.2026-04-07🔬 pathology

METTL14-dependent m6A modification restrains interferon signaling to prevent myocarditis and dilated Cardiomyopathy

Cardiomyocyte-specific deletion of the m6A methyltransferase METTL14 triggers myocarditis and dilated cardiomyopathy by disrupting mitochondrial integrity and autophagy, which leads to RIPK1 accumulation, hyperactivation of type I interferon signaling, and necroptosis.

Xi, Y., Kuempel, J., Choi, S., DeSpain, P., Zhang, T., Zhu, J., Osborn, A., Rivera, R., Zhong, S., Wang, Y.-X., Li, Z., West, A. P., Li, C., Tong, C. W., Zhang, X., Peng, X.2026-04-06🔬 pathology

Quantitative assessment of collagen architecture from routine histopathological images shows concordance with Second Harmonic Generation microscopy

This study demonstrates that computational analysis of routine Masson-Goldner Trichrome-stained histopathological images can accurately quantify collagen architecture in breast tumors with significant concordance to specialized Second Harmonic Generation microscopy, offering a scalable and clinically accessible alternative for assessing extracellular matrix organization.

Ingawale, V., Dandapat, K., Konkada Manattayil, J., Gupta, S., Shashidhara, L. S., Koppiker, C., Shah, N., Raghunathan, V., Kulkarni, M.2026-04-06🔬 pathology