The Multifunction of TRIM26: From Immune Regulation to Oncology.

Ubiquitination, a crucial post-translational modification, plays a role in nearly all physiological processes. Its functional execution depends on a series of catalytic reactions involving numerous proteases. TRIM26, a protein belonging to the TRIM family, exhibits E3 ubiquitin ligase activity because of its RING structural domain, and is present in diverse cell lineages. Over the last few decades, TRIM26 has been documented to engage in numerous physiological and pathological processes as a controller, demonstrating a diverse array of biological roles. Despite the growing research interest in TRIM26, there has been limited attention given to examining the protein's structure and function in existing reviews. This review begins with a concise overview of the composition and positioning of TRIM26 and then proceeds to examine its roles in immune response, viral invasion, and inflammatory processes. Simultaneously, we demonstrate the contribution of TRIM26 to the progression of various diseases, encompassing numerous malignancies and neurologic conditions. Finally, we have investigated the potential areas for future research on TRIM26.

Pathological mechanism of immune disorders in diabetic kidney disease and intervention strategies.

Diabetic kidney disease is one of the most severe chronic microvascular complications of diabetes and a primary cause of end-stage renal disease. Clinical studies have shown that renal inflammation is a key factor determining kidney damage during diabetes. With the development of immunological technology, many studies have shown that diabetic nephropathy is an immune complex disease, and that most patients have immune dysfunction. However, the immune response associated with diabetic nephropathy and autoimmune kidney disease, or caused by ischemia or infection with acute renal injury, is different, and has a com-plicated pathological mechanism. In this review, we discuss the pathogenesis of diabetic nephropathy in immune disorders and the intervention mechanism, to provide guidance and advice for early intervention and treatment of diabetic nephropathy.

Carnosol suppresses cardiomyocyte hypertrophy via promoting the activation of AMPK pathway.

Pathological cardiac hypertrophy is associated with adverse cardiovascular events and can gradually lead to heart failure, arrhythmia, and even sudden death. However, the current development of treatment strategies has been unsatisfactory. Therefore, it is of great significance to find new and effective drugs for the treatment of myocardial hypertrophy. We found that carnosol can inhibit myocardial hypertrophy induced by PE stimulation, and the effect is very significant at 5 µM. Moreover, we demonstrated that 50 mg/kg of carnosol protect against cardiac hypertrophy and fibrosis induced by TAC surgery in mice. Mechanically, we proved that the inhibitory effect of carnosol on cardiac hypertrophy depends on its regulation on the phosphorylation activation of AMPK. In conclusion, our study suggested that carnosol may be a novel drug component for the treatment of pathological cardiac hypertrophy.

Gustative Roussy Immune Score is a Predictor for Major Pathological Response in Rectal Cancer: A Result from the Preoperative Intraarterial Chemoembolization Combined with Radiotherapy (PCAR) Study.

Despite the emergence of various treatment strategies for rectal cancer based on neoadjuvant chemoradiotherapy, there is currently a lack of reliable biomarkers to determine which patients will respond well to neoadjuvant chemoradiotherapy. Through collecting hematological and biochemical parameters data of patients prior to receiving neoadjuvant chemoradiotherapy, we evaluated the predictive value of systemic inflammatory indices for pathological response and prognosis in rectal cancer patients. We found that baseline GRIm-Score was an independent predictor for MPR in rectal cancer patients. However, no association was observed between several commonly systemic inflammation indices and long-term outcome.

Swimming exercise alleviates pathological bone features in curdlan-injected SKG mice by inducing irisin expression.

This study assessed the therapeutic potential of swimming exercise in the curdlan-injected SKG mouse model and investigated the modulatory effects of irisin on inflammation. Curdlan-injected SKG were randomly assigned to either a home-cage group or a swimming group for 6 weeks. Changes in clinical arthritis scores and ankle thickness were measured weekly. Post-swimming program, mice were anesthetized for collection of vastus lateralis muscle and blood, which was followed by histological analysis, micro-CT imaging of the ankle joints, and the measurement of pro-inflammatory cytokines and irisin levels. Additionally, curdlan-injected SKG mice were intravenously injected with recombinant irisin protein and observed. Finally, serum levels of irisin in healthy control and ankylosing spondylitis (AS) patient groups were measured by ELISA. The swimming group of curdlan-injected SKG mice exhibited significant improvements in arthritis and enthesitis compared to the home-cage group. In particular, micro-CT and histological analyses revealed a notable reduction in pathological bone features in the swimming group compared to the home-cage group. Muscle endurance was also enhanced in the swimming group compared to the home-cage group, as determined by the wire-hanging test. Intriguingly, irisin levels not only were statistically increased in the swimming group but, also, TNF-α, IL-1ß, and IL-6 levels were decreased. Additionally, injection of irisin protein slightly attenuated both arthritis and enthesitis in curdlan-injected SKG mice. Meanwhile, irisin serum levels were declined in AS patients. Overall, we found that swimming exercise attenuated pathological bone features in an AS animal model, potentially mediated by increased irisin serum levels with associated anti-inflammatory effects.

Outcomes of locally advanced gastric and gastroesophageal adenocarcinoma cancers treated with neoadjuvant FLOT in a tertiary care hospital in Pakistan.

Background and aim: Docetaxel, oxaliplatin, leucovorin and 5-fluorouracil (FLOT) may improve overall survival (OS) in patients with locally advanced gastric and gastroesophageal cancer. Our study aims to determine the pathological response in these patients with the FLOT chemotherapy in the Neoadjuvant setting. This is the first study conducted in our country. Methods: We conducted a retrospective cross-sectional study from March 2018 to December 2020. After ethical review committee approval, all patients who fulfilled the inclusion criteria and received treatment at our tertiary care center were included in the study. SPSS version 22 was used for data analysis. Frequencies and percentages were calculated for categorical. Values were presented as mean ± standard deviation (SD) for continuous variables. The chi-square test was used to determine the difference between categorical variables. A p-value of ≤0.05 was considered the level of significance. Kaplan-Meier curves were used to calculate survival analysis. Results: Out of 41, 35 patients with locally advanced resectable gastric or gastroesophageal adenocarcinoma were included in our study analysis. The entire cohort had a male predominance, with a mean age of 59. All patients received neoadjuvant FLOT. Pathological treatment response achieved was 77%, of which 66% had partial and 11% had complete response. There is a significant association of pathological response with age, gender, stage, grade, co-morbid and number of chemotherapy cycles received (p-value =<0.05). The OS was 80% with the mean OS was 2.6 years (31 months). Conclusion: Our study shows comparable response rates to other studies conducted internationally. Our findings confirm that FLOT is an effective and well-tolerated perioperative regimen with reasonable response rates in the Pakistani population. A more extensive longitudinal study would ensure these preliminary results in the local patient population.

Mechanisms and therapeutic research progress in intestinal fibrosis.

Intestinal fibrosis is a common complication of chronic intestinal diseases with the characteristics of fibroblast proliferation and extracellular matrix deposition after chronic inflammation, leading to lumen narrowing, structural and functional damage to the intestines, and life inconvenience for the patients. However, anti-inflammatory drugs are currently generally not effective in overcoming intestinal fibrosis making surgery the main treatment method. The development of intestinal fibrosis is a slow process and its onset may be the result of the combined action of inflammatory cells, local cytokines, and intestinal stromal cells. The aim of this study is to elucidate the pathogenesis [e.g., extracellular matrix (ECM), cytokines and chemokines, epithelial-mesenchymal transition (EMT), differentiation of fibroblast to myofibroblast and intestinal microbiota] underlying the development of intestinal fibrosis and to explore therapeutic advances (such as regulating ECM, cytokines, chemokines, EMT, differentiation of fibroblast to myofibroblast and targeting TGF-ß) based on the pathogenesis in order to gain new insights into the prevention and treatment of intestinal fibrosis.

A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma.

Background: Patients with resectable esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant immunotherapy (NIT) display variable treatment responses. The purpose of this study is to establish and validate a radiomics based on enhanced computed tomography (CT) and combined with clinical data to predict the major pathological response to NIT in ESCC patients. Methods: This retrospective study included 82 ESCC patients who were randomly divided into the training group (n = 57) and the validation group (n = 25). Radiomic features were derived from the tumor region in enhanced CT images obtained before treatment. After feature reduction and screening, radiomics was established. Logistic regression analysis was conducted to select clinical variables. The predictive model integrating radiomics and clinical data was constructed and presented as a nomogram. Area under curve (AUC) was applied to evaluate the predictive ability of the models, and decision curve analysis (DCA) and calibration curves were performed to test the application of the models. Results: One clinical data (radiotherapy) and 10 radiomic features were identified and applied for the predictive model. The radiomics integrated with clinical data could achieve excellent predictive performance, with AUC values of 0.93 (95% CI 0.87-0.99) and 0.85 (95% CI 0.69-1.00) in the training group and the validation group, respectively. DCA and calibration curves demonstrated a good clinical feasibility and utility of this model. Conclusion: Enhanced CT image-based radiomics could predict the response of ESCC patients to NIT with high accuracy and robustness. The developed predictive model offers a valuable tool for assessing treatment efficacy prior to initiating therapy, thus providing individualized treatment regimens for patients.

Liver histological changes in untreated chronic hepatitis B patients in indeterminate phase.

BACKGROUND: Studies with large size samples on the liver histological changes of indeterminate phase chronic hepatitis B (CHB) patients were not previously conducted. AIM: To assess the liver histological changes in the indeterminate phase CHB patients using liver biopsy. METHODS: The clinical and laboratory data of 1532 untreated CHB patients were collected, and all patients had least once liver biopsy from January 2015 to December 2021. The significant differences among different phases of CHB infection were compared with t-test, and the risk factors of significant liver histological changes were analyzed by the multivariate logistic regression analysis. RESULTS: Among 1532 untreated CHB patients, 814 (53.13%) patients were in the indeterminate phase. Significant liver histological changes (defined as biopsy score ≥ G2 and/or ≥ S2) were found in 488/814 (59.95%) CHB patients in the indeterminate phase. Significant liver histological changes were significant differences among different age, platelets (PLTs), and alanine aminotransferase (ALT) subgroup in indeterminate patient. Multivariate logistic regression analysis indicated that age ≥ 40 years old [adjust odd risk (aOR), 1.44; 95% confidence interval (CI): 1.06-1.97; P = 0.02], PLTs ≤ 150 × 109/L (aOR, 2.99; 95%CI: 1.85-4.83; P < 0.0001), and ALT ≥ upper limits of normal (aOR, 1.48; 95%CI: 1.08, 2.05, P = 0.0163) were independent risk factors for significant liver histological changes in CHB patients in the indeterminate phase. CONCLUSION: Our results suggested that significant liver histological changes were not rare among the untreated CHB patients in indeterminate phase, and additional strategies are urgently required for the management of these patients.

A case of complete pathological response after comprehensive treatment in a patient with pulmonary adenocarcinoma with synchronous solitary brain metastasis.

Systemic chemotherapy is the standard treatment for non-small cell lung cancer with distant metastases. However, additional local treatment for brain and thoracic lesions is recommended for patients with synchronous solitary brain metastases (SSBM). We report the case of a 71-year-old male diagnosed with pulmonary adenocarcinoma and SSBM. Pathological examination of the brain metastasis showed positive immunostaining for programmed cell death ligand 1 expression. After four cycles of chemotherapy with immune checkpoint inhibitors, right upper lobectomy with ND2a-1 was performed. Pathological examination revealed complete pathological response, and this patient is expected to experience long-term survival.

Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning.

Pathological myopia (PM) is the leading ocular disease for impaired vision worldwide. Clinically, the characteristics of pathology distribution in PM are global-local on the fundus image, which plays a significant role in assisting clinicians in diagnosing PM. However, most existing deep neural networks focused on designing complex architectures but rarely explored the pathology distribution prior of PM. To tackle this issue, we propose an efficient pyramid channel attention (EPCA) module, which fully leverages the potential of the clinical pathology prior of PM with pyramid pooling and multi-scale context fusion. Then, we construct EPCA-Net for automatic PM recognition based on fundus images by stacking a sequence of EPCA modules. Moreover, motivated by the recent pretraining-and-finetuning paradigm, we attempt to adapt pre-trained natural image models for PM recognition by freezing them and treating the EPCA and other attention modules as adapters. In addition, we construct a PM recognition benchmark termed PM-fundus by collecting fundus images of PM from publicly available datasets. The comprehensive experiments demonstrate the superiority of EPCA-Net over state-of-the-art methods in the PM recognition task. For example, EPCA-Net achieves 97.56% accuracy and outperforms ViT by 2.85% accuracy on the PM-fundus dataset. The results also show that our method based on the pretraining-and-finetuning paradigm achieves competitive performance through comparisons to part of previous methods based on traditional fine-tuning paradigm with fewer tunable parameters, which has the potential to leverage more natural image foundation models to address the PM recognition task in limited medical data regime.

Secondary mandibular osteomyelitis complicated with a pathological fracture.

INTRODUCTION AND IMPORTANCE: Pathological mandibular fractures, defined as fractures that occur in regions where bone has been weakened by an underlying pathological process, are rare, accounting for fewer than 2 % of all fractures of the mandible. Mandibular pathological fractures can have several aetiologies including osteomyelitis, osteoradionecrosis (ORN), surgical interventions, bisphosphonate-related osteochemonecrosis of the jaw and tumoral lesions. CASE PRESENTATION: We present a case of a 13-year-old male patient following a tooth infection with a right facial swelling and limited mouth opening, multiple purulent cutaneous fistulas and mandibular hypoplasia. Intraoral examination revealed the presence of generalized calculus, dental mobility in quadrants 3 and 4. We carried out an orthopantomography which revealed a mandibular angle fracture and the diagnosis of secondary mandibular osteomyelitis with pathological fracture was retained. Sequestrectomy was carried out followed by an open reduction with mini reconstruction plates. CLINICAL DISCUSSION: At 13 years old, this patient with a secondary mandibular osteomyelitis, to the best of our knowledge is the youngest case reported having a secondary mandibular osteomyelitis as etiology of his pathological fracture. Due to the early onset, the patient presented with a bird's profile clinically. His pathological fracture was due to a vicious cycle limiting bone turnover created by the secondary osteomyelitis. CONCLUSION: Pathological mandibular fractures are complex and challenging to treat because of their different aetiologies and also clinicians often have to deal with individuals with grossly infected bone with the fracture management dependent on the resulting bony defect.

Neoadjuvant short-course radiotherapy followed by camrelizumab and chemotherapy in locally advanced rectal cancer (UNION): early outcomes of a multicenter randomized phase III trial.

BACKGROUND: Neoadjuvant short-course radiotherapy (SCRT) followed by CAPOX and camrelizumab (a PD-1 monoclonal antibody) has shown potential clinical activity for locally advanced rectal cancer (LARC) in a phase II trial. This study aimed to further confirm the efficacy and safety of SCRT followed by CAPOX and camrelizumab compared to long-course chemoradiotherapy (LCRT) followed by CAPOX alone as neoadjuvant treatment for LARC. PATIENTS AND METHODS: In this randomized, phase III trial, patients with T3-4/N+ rectal adenocarcinoma were randomly assigned (1:1) to receive SCRT or long-course chemoradiotherapy (LCRT), followed by 2 cycles of camrelizumab and CAPOX or CAPOX alone, respectively. After surgery, each arm underwent either 6 cycles of camrelizumab and CAPOX, followed by up to 17 doses of camrelizumab, or 6 cycles of CAPOX. The primary endpoint was pathological complete response (pCR) rate (ypT0N0) assessed by a blinded independent review committee. Key secondary endpoints tested hierarchically were 3-year event-free survival (EFS) rate and overall survival (OS). RESULTS: Between July 2021 and March 2023, the intention-to-treat population comprised 113 patients in experimental arm and 118 patients in control arm, with surgery performed in 92% and 83.9%, respectively. At data cutoff (July 11, 2023), the pCR rate were 39.8% (95% CI, 30.7 to 49.5) in experimental arm compared to 15.3% (95% CI, 9.3 to 23.0) in control arm (difference, 24.6%; odds ratio, 3.7; 95% CI, 2.0 to 6.9; p < 0.001). In each arm, surgical complication rates were 40.0% and 40.8%, grade ≥ 3 treatment-related adverse events were 29.2% and 27.2%. 3-year EFS rate and OS continue to mature. CONCLUSIONS: In LARC patients, neoadjuvant SCRT followed by camrelizumab plus CAPOX demonstrated a significantly higher pCR rate than LCRT followed by CAPOX, with a well-tolerated safety profile. SCRT followed by camrelizumab and chemotherapy can be recommended as a neoadjuvant treatment modality for these patients.

[Clinical characteristics and prognostic analysis of 34 patients with primary thyroid lymphoma].

Objective: To investigate the clinical characteristics, diagnosis, treatment, and prognosis of primary thyroid lymphoma (PTL) . Methods: A retrospective analysis was conducted on the clinical and pathological data of 34 newly diagnosed PTL patients admitted to Beijing Tongren Hospital from September 2010 to February 2023. The Kaplan-Meier survival curve and Log-rank test were used for survival analysis, and the Cox regression model was applied for univariate analysis of prognostic factors. Results: All 34 PTL patients presented with cervical mass as the initial clinical manifestation. There were 9 males and 25 females. The pathological diagnosis was diffuse large B-cell lymphoma (DLBCL) in 29 patients and mucosa-associated lymphoid tissue (MALT) lymphoma in 5 patients. Among the DLBCL patients, 6 had B symptoms, 17 had an Eastern Cooperative Oncology Group (ECOG) score of ≥2, the Ann Arbor staging was stage Ⅰ-Ⅱ in 21 cases and stage Ⅲ-Ⅳ in 8 cases, the tumor diameter was ≥10 cm in 4 cases, and 14 had concurrent Hashimoto thyroiditis; 27 cases received chemotherapy, with 21 cases achieving complete remission (CR), 2 cases partial remission (PR), and 6 cases of disease progression; the 5-year progression-free survival and overall survival rates were 78.9% and 77.4%, respectively; univariate survival analysis showed that B symptoms, tumor diameter ≥10 cm, and Ann Arbor stage Ⅲ-Ⅳ were significant factors affecting patient prognosis (P<0.05). MALT lymphoma patients were all in stages Ⅰ-Ⅱ, had an ECOG score of 0-1, and were without B symptoms. All patients underwent surgical resection, with 4 cases achieving CR and 1 case PR. Conclusion: PTL is more common in females with concurrent Hashimoto thyroiditis, with the majority of pathological types being B-cell lymphoma. The main treatment is chemotherapy, supplemented by radiotherapy and surgery, and the prognosis is relatively favorable.

GSDME-mediated pyroptosis promotes anti-tumor immunity of neoadjuvant chemotherapy in breast cancer.

Paclitaxel and anthracycline-based chemotherapy is one of the standard treatment options for breast cancer. However, only about 6-30% of breast cancer patients achieved a pathological complete response (pCR), and the mechanism responsible for the difference is still unclear. In this study, random forest algorithm was used to screen feature genes, and artificial neural network (ANN) algorithm was used to construct an ANN model for predicting the efficacy of neoadjuvant chemotherapy for breast cancer. Furthermore, digital pathology, cytology, and molecular biology experiments were used to verify the relationship between the efficacy of neoadjuvant chemotherapy and immune ecology. It was found that paclitaxel and doxorubicin, an anthracycline, could induce typical pyroptosis and bubbling in breast cancer cells, accompanied by gasdermin E (GSDME) cleavage. Paclitaxel with LDH release and Annexin V/PI doubule positive cell populations, and accompanied by the increased release of damage-associated molecular patterns, HMGB1 and ATP. Cell coculture experiments also demonstrated enhanced phagocytosis of macrophages and increased the levels of IFN-γ and IL-2 secretion after paclitaxel treatment. Mechanistically, GSDME may mediate paclitaxel and doxorubicin-induced pyroptosis in breast cancer cells through the caspase-9/caspase-3 pathway, activate anti-tumor immunity, and promote the efficacy of paclitaxel and anthracycline-based neoadjuvant chemotherapy. This study has practical guiding significance for the precision treatment of breast cancer, and can also provide ideas for understanding molecular mechanisms related to the chemotherapy sensitivity.

Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images.

This study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying molecular mechanisms associated with pathomics. Here, we included 127 GBM patients, 78 of whom were randomly allocated to the training and test cohorts for pathomics modeling. The prognostic significance of MMP9 was assessed using Kaplan-Meier and Cox regression analyses. PyRadiomics was used to extract the features of H&E-stained whole slide images. Feature selection was performed using the maximum relevance and minimum redundancy (mRMR) and recursive feature elimination (RFE) algorithms. Prediction models were created using support vector machines (SVM) and logistic regression (LR). The performance was assessed using ROC analysis, calibration curve assessment, and decision curve analysis. MMP9 expression was elevated in patients with GBM. This was an independent prognostic factor for GBM. Six features were selected for the pathomics model. The area under the curves (AUCs) of the training and test subsets were 0.828 and 0.808, respectively, for the SVM model and 0.778 and 0.754, respectively, for the LR model. The C-index and calibration plots exhibited effective estimation abilities. The pathomics score calculated using the SVM model was highly correlated with overall survival time. These findings indicate that MMP9 plays a crucial role in GBM development and prognosis. Our pathomics model demonstrated high efficacy for predicting MMP9 expression levels and prognosis of patients with GBM.

Causes of Admission, Mortality and Pathological Findings in European Hedgehogs: Reports from Two University Centers in Italy and Switzerland.

European hedgehogs (Erinaceus europaeus) are nocturnal insectivores frequently found in urban areas. In the last decades, their population has declined in various European countries and human activities have emerged as significant contributors to this trend. While the literature has mainly focused on trauma as the major cause of mortality, few authors have considered pathological findings. The present study is based on the results of full post-mortem examinations performed on 162 European hedgehogs in Italy and 109 in Switzerland. Unlike in previous studies, the main cause of mortality was infectious diseases (60.5%), followed by traumatic insults (27.7%). The lungs were the main organ affected, showing mostly lymphoplasmacytic (45.9%), granulomatous (18.1%) or suppurative (8.2%) pneumonia. Nematodes were detected in 57.2% of all lungs and were significantly associated with pneumonia (p-value < 0.001). To our knowledge, this is the first study to report infectious diseases as the main cause of hedgehog death, emphasizing the need for wildlife rescue centers to adopt appropriate diagnostic and therapeutic measures. Further research is necessary to determine the broad range of infectious agents that affect this species and elucidate their interplay with the host. Finally, citizen sensitization should be implemented to promote responsible behaviors that could reduce human-related traumatic events.

Stochastic modeling of the human middle ear dynamics under pathological conditions.

BACKGROUND: Although the dynamics of the middle ear (ME) have been modeled since the mid-twentieth century, only recently stochastic approaches started to be applied. In this study, a stochastic model of the ME was utilized to predict the ME dynamics under both healthy and pathological conditions. METHODS: The deterministic ME model is based on a lumped-parameter representation, while the stochastic model was developed using a probabilistic non-parametric approach that randomizes the deterministic model. Subsequently, the ME model was modified to represent the ME under pathological conditions. Furthermore, the simulated data was used to develop a classifier model of the ME condition based on a machine learning algorithm. RESULTS: The ME model under healthy conditions exhibited good agreement with statistical experimental results. The ranges of probabilities from models under pathological conditions were qualitatively compared to individual experimental data, revealing similarities. Moreover, the classifier model presented promising results. DISCUSSION: The results aimed to elucidate how the ME dynamics, under different conditions, can overlap across various frequency ranges. Despite the promising results, improvements in the stochastic and classifier models are necessary. Nevertheless, this study serves as a starting point that can yield valuable tools for researchers and clinicians.

Somatic and psychiatric comorbidity in people with diagnosed gambling disorder: A Finnish nation-wide register study.

BACKGROUND AND AIMS: This is the first nation-wide register study based on a total population sample measuring the gender-specific incidences of chronic diseases and conditions among adults diagnosed with gambling disorder (GD). DESIGN, SETTING AND PARTICIPANTS: The study used aggregated data for 2011-22 retrieved from the Register of Primary Health Care visits, Care Register for Health Care and Care Register for Social Welfare, including specialized outpatient and inpatient health care, inpatient social care and institutional care and housing services with 24-hour or part-time assistance, set in mainland Finland. Participants comprised people aged 18-90+ years with GD diagnosis [corresponding to pathological gambling, International Classification of Diseases 10th revision (ICD-10) code F63.0, n = 3605; men n = 2574, women n = 1031] and the general population (n = 4 374 192). MEASUREMENTS: Incidences of somatic diseases and psychiatric disorders were calculated for the people with diagnosed GD and for the general population, separately for women and men. FINDINGS: After standardizing for age, the incidence of each diagnostic group was systematically higher for people with GD compared with the general population, except for cancer. The highest standardized incidence ratio (SIR) values were for psychiatric disorders [SIR = 234.2; 95% confidence interval (CI) = 226.1-242.4], memory disorders (SIR = 172.1; 95% CI = 119.1-234.8), nervous system diseases (SIR = 162.8; 95% CI = 152.8-173.1), chronic respiratory diseases (SIR = 150.6; 95% CI = 137.6-164.2), diabetes (SIR = 141.4; 95% CI = 127.9-155.5) and digestive diseases (SIR = 134.5; 95% CI = 127.1-142.2). CONCLUSIONS: In Finland, the incidence of chronic diseases and conditions among people with gambling disorder is higher compared with the general population, apart from cancer.