Article
Endocrinology & Metabolism
Chun Zhou, Panpan He, Ziliang Ye, Yuanyuan Zhang, Yanjun Zhang, Sisi Yang, Qimeng Wu, Mengyi Liu, Jing Nie, Xianhui Qin
Summary: The study found an inverse association between serum vitamin D levels and new-onset chronic kidney disease in participants with diabetes. However, this association was not observed in participants without diabetes.
Article
Pediatrics
Dogan Barut, Mete Akisu, Ozge Altun Koroglu, Demet Terek, Firat Ergin, Huseyin Onay, Mehmet Yalaz, Nilgun Kultursay
Summary: This study aimed to reveal that VDR gene polymorphisms may constitute a risk factor for necrotizing enterocolitis (NEC). The study found that the TT genotype of VDR Fok1 C/T increased the risk of NEC, and there was a significant relationship between this genotype and the risk of NEC.
PEDIATRIC RESEARCH
(2023)
Article
Physiology
Xiaoyi Zhang, Li Zhang, Yingzhen Wen, Mengxian Zhang, Shuangxin Liu, Houqin Xiao
Summary: This study investigated the protective effect and potential mechanism of vitamin D on podocyte injury in diabetic kidney disease (DKD). The results showed that treatment with a vitamin D analogue significantly reduced albuminuria and improved renal pathology in diabetic mice. Furthermore, vitamin D enhanced podocyte autophagy activity, restored the expression of slit diaphragm proteins, and inhibited podocyte apoptosis under diabetic conditions.
KIDNEY & BLOOD PRESSURE RESEARCH
(2023)
Review
Multidisciplinary Sciences
Miaomiao Zhao, Zhenhua Liu, Hongtai Shi, Jianxiang Song
Summary: The prognostic value of vitamin D receptor (VDR) in various digestive system tumors is still controversial. This meta-analysis found that high VDR expression is generally associated with better overall survival (OS) in digestive system tumors, but the association is not significant in colorectal cancer. VDR expression can serve as a prognostic indicator and a reference for vitamin D supplementation, helping to evaluate prognosis and formulate precise treatment plans for patients with digestive system tumors.
Article
Multidisciplinary Sciences
Tiphaine Raia-Barjat, Camille Sarkis, Florence Rancon, Lise Thibaudin, Jean-Christophe Gris, Nadia Alfaidy, Celine Chauleur
Summary: Maternal vitamin D insufficiency during pregnancy may increase the risk of preeclampsia, and lower vitamin D levels at 32 weeks are associated with a higher risk of placenta-mediated complications. Maintaining adequate levels of vitamin D in pregnant women can help prevent the onset of late PMC.
SCIENTIFIC REPORTS
(2021)
Review
Biochemistry & Molecular Biology
Xiaoying Cui, John J. McGrath, Thomas H. J. Burne, Darryl W. Eyles
Summary: Numerous epidemiological studies have linked vitamin D deficiency with schizophrenia, particularly in newborns. Research suggests that early-life vitamin D deficiency may increase the risk of developing schizophrenia.
MOLECULAR PSYCHIATRY
(2021)
Article
Clinical Neurology
Sunny Malhotra, Luciana Midaglia, Omar Chuquisana, Nikolaos A. A. Patsopoulos, Roser Ferrer, Marina Giralt, Nicolas Fissolo, Elia Gil-Varea, Juan Carlos Trivino, Jan D. D. Luenemann, Xavier Montalban, Manuel Comabella
Summary: This study found an association between the CYP24A1 rs2762943 polymorphism and increased risk of multiple sclerosis (MS). Carriers of this risk allele had lower levels of active vitamin D and higher levels of inflammatory factors. However, this genetic variant had no significant impact on disease activity and disability outcomes of MS patients, only with a younger age at disease onset.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Biochemistry & Molecular Biology
Xia Yang, Jian-xin Wan, Jing Yuan, Rong Dong, Jing-jing Da, Zhao-lin Sun, Yan Zha
Summary: The study indicated that calcitriol could ameliorate kidney structure and function in rats with chronic renal failure by regulating the number and function of endothelial progenitor cells. Treatment with calcitriol may improve outcomes in patients with renal insufficiency or combined cardiac insufficiency.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Lina Zgaga, Rasha Shraim, Elizabeth Bolger, Jason Wyse
Summary: The increase in 25OHD in the intervention arm and population heterogeneity significantly impact the power of vitamin D RCTs, with varying sample size requirements.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Lina Zgaga, Rasha Shraim, Elizabeth Bolger, Jason Wyse
Summary: This study investigated the power and sample size requirements in vitamin D supplementation randomized controlled trials (RCTs) and found that the increase in 25OHD in the intervention arm and population heterogeneity substantially impact the power of the trials. Sample size determination through simulation was shown to be a powerful approach for non-standard trials and can be easily applied to other intervention-outcome pairs.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY
(2022)
Review
Medicine, General & Internal
Maohui Diao, Jun Peng, Daidong Wang, Hongbo Wang
Summary: This study conducted a systematic review and meta-analysis to explore the influence of vitamin D on ankylosing spondylitis (AS). The results showed that patients with AS had lower levels of peripheral 25-hydroxyvitamin D (25OHD) and higher levels of peripheral C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). This suggests that vitamin D may have a protective effect on AS, and CRP and ESR serve as important biomarkers for AS.
FRONTIERS IN MEDICINE
(2022)
Article
Multidisciplinary Sciences
Jianjun Chang, Hongguang Nie, Xin Ge, Jie Du, Weicheng Liu, Xue Li, Yue Sun, Xinzhi Wei, Zhe Xun, Yan Chun Li
Summary: The study showed that vitamin D has an anti-fibrotic effect in a mouse model of IPF by blocking the activation of the lung RAS, alleviating lung fibrosis and preventing weight loss.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Indah K. Murni, Dian C. Sulistyoningrum, Danijela Gasevic, Rina Susilowati, Madarina Julia
Summary: The study found that hyperinsulinemia, higher total cholesterol, and LDL cholesterol were associated with increased CIMT among obese adolescent boys. In contrast, there was no association between vitamin D levels and CIMT, and none of the metabolic risk factors were associated with CIMT in girls.
Review
Rheumatology
Maurizio Cutolo, Vanessa Smith, Sabrina Paolino, Emanuele Gotelli
Summary: The active form of vitamin D, 1,25-dihydroxyvitamin D-3, can modulate the innate immune system and downregulate inflammatory responses. Low concentrations of its inactive precursor, 25-hydroxyvitamin D-3, are associated with increased risk and severity of autoimmune rheumatic diseases. In the context of COVID-19, vitamin D-3 can downregulate both the viral phase and the hyperinflammatory phase. Monitoring serum vitamin D-3 concentrations and appropriate supplementation are crucial in autoimmune rheumatic diseases and COVID-19.
NATURE REVIEWS RHEUMATOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Erin D. Michos, Miguel Cainzos-Achirica, Amir S. Heravi, Lawrence J. Appel
Summary: Vitamin D and calcium supplements are commonly used for bone health, but the cardiovascular benefits remain uncertain for Vitamin D supplementation and there might be potential harm for calcium supplementation. It is recommended to obtain calcium from food sources and avoid indiscriminate use of supplements.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2021)
Article
Cell Biology
Piotr Kupczyk, Aleksandra Simiczyjew, Jakub Marczuk, Ewelina Dratkiewicz, Artur Beberok, Jakub Rok, Malgorzata Pieniazek, Przemyslaw Biecek, Dmitry Nevozhay, Bartosz Slowikowski, Grzegorz Chodaczek, Dorota Wrzesniok, Dorota Nowak, Piotr Donizy
Summary: The study showed that PARP1 expression is significantly increased in melanoma cells and correlated with tumor cell invasiveness. High PARP1 expression is associated with unfavorable clinical outcomes, suggesting a potential role for PARP1 inhibitor-based therapy in cutaneous melanoma.
Article
Oncology
Piotr Donizy, Joanna P. Wroblewska, Dora Dias-Santagata, Katarzyna Woznica, Przemyslaw Biecek, Mark C. Mochel, Cheng-Lin Wu, Janusz Kopczynski, Malgorzata Pieniazek, Janusz Rys, Andrzej Marszalek, Mai P. Hoang
Summary: The study compared the immunohistochemical profiles and molecular characteristics of Merkel cell carcinomas (MCCs) of unknown primary, showing that virus-positive and virus-negative MCC-UPs exhibited similar immunoprofiles to primary cutaneous MCCs. Virus-negative MCC-UPs displayed UV signatures and frequent high tumor mutational burdens, while few molecular alterations were noted in virus-positive tumors. The findings support a cutaneous metastatic origin for virus-negative MCC-UP tumors.
Article
Medicine, Research & Experimental
Radoslaw Charkiewicz, Jacek Niklinski, Przemyslaw Biecek, Joanna Kisluk, Slawomir Pancewicz, Anna M. Moniuszko-Malinowska, Robert Flisiak, Adam J. Kretowski, Janusz Dzieciol, Marcin Moniuszko, Rafal Gierczynski, Grzegorz Juszczyk, Joanna Reszec
Summary: This study identified the first case of B.1.351 (South African variant) and 18 cases of B.1.1.7 (British variant) in Poland, showing significant variability in SARS-CoV-2 genomes. A networked monitoring system concept was presented for real-time surveillance of new variants.
ADVANCES IN MEDICAL SCIENCES
(2021)
Article
Management
Michael Buecker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
Summary: Credit scoring models require accurate risk prediction and transparency, but the superior predictive power of modern machine learning algorithms is not fully utilized. This article presents a framework for making black box machine learning models transparent, auditable, and explainable, and shows how these techniques can be applied in credit scoring to achieve comparable interpretability while maintaining predictive power.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Katarzyna Kobylinska, Tadeusz Orlowski, Mariusz Adamek, Przemyslaw Biecek
Summary: Modern medicine relies on sophisticated algorithms, and Explainable Artificial Intelligence (XAI) is becoming increasingly important to ensure the trustworthiness of these algorithms. This paper presents selected methods from the XAI field applied to lung cancer risk assessment, providing a better understanding of model predictions.
APPLIED SCIENCES-BASEL
(2022)
Article
Medicine, General & Internal
Miriam Hippner, Michal Majkowski, Przemyslaw Biecek, Teresa Szkudlarek, Aleksandra Simiczyjew, Malgorzata Pieniazek, Dorota Nowak, Arkadiusz Miazek, Piotr Donizy
Summary: This study investigated the expression and prognostic significance of ENO1 in cutaneous melanoma. Results showed that overexpression of ENO1 in melanoma cells was significantly associated with advanced clinical stage, lymph node metastasis, and shorter overall survival and disease-free survival. The study also demonstrated higher expression of ENO1 in melanoma cell lines compared with normal melanocytes. These findings suggest that ENO1 could be a potential diagnostic and therapeutic target for melanoma.
Article
Medicine, General & Internal
Joanna Drozd-Sokolowska, Anna Waszczuk-Gajda, Magdalena Witkowska, Elzbieta Sienkiewicz, Anna Kopinska, Agnieszka Kolkowska-Lesniak, Joanna Barankiewicz, Monika Dlugosz-Danecka, Piotr Smolewski, Grzegorz Helbig, Ewa Lech-Maranda, Wojciech Jurczak, Przemyslaw Biecek, Sebastian Giebel, Wieslaw Wiktor-Jedrzejczak, Grzegorz Basak
Summary: Bing-Neel syndrome is a rare presentation of Waldenstrom macroglobulinemia, primarily involving the central nervous system and occasionally the peripheral nervous system. Limited data is available on BNS, so a multicenter retrospective analysis was conducted, including 11 patients. BNS has a poor prognosis, with most patients succumbing to the disease.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Oncology
Joanna Drozd-Sokolowska, Krzysztof Madry, Joanna Barankiewicz, Katarzyna Kobylinska, Przemyslaw Biecek, Jagoda Rytel, Ewa Karakulska-Prystupiuk, Kamila Skwierawska, Aleksander Salomon-Perzynski, Tomasz Stoklosa, Grzegorz Wladyslaw Basak
Summary: COVID-19 is a frequent complication of AZA-VEN treatment during the COVID-19 pandemic, leading to death in a significant proportion of patients.
Article
Oncology
Piotr Donizy, Mateusz Krzyzinski, Anna Markiewicz, Pawel Karpinski, Krzysztof Kotowski, Artur Kowalik, Jolanta Orlowska-Heitzman, Bozena Romanowska-Dixon, Przemyslaw Biecek, Mai P. Hoang
Summary: The study aims to identify a cost-effective prognostic tool for risk stratification in uveal melanoma patients using machine learning models based on routine histologic and clinical variables. The results show that routine histologic and clinical variables are sufficient for patient risk stratification, without the need for molecular assays.
EUROPEAN JOURNAL OF CANCER
(2022)
Article
Computer Science, Artificial Intelligence
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
Summary: Machine and deep learning survival models have comparable or better prediction capabilities for time-to-event compared to classical statistical learning methods, but they are too complex for human interpretation. This paper introduces SurvSHAP(t), the first time-dependent explanation method for interpreting survival black-box models, based on SHapley Additive exPlanations with solid theoretical foundations. The proposed method aims to improve precision diagnostics and support decision-making by domain experts.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Hubert Baniecki, Dariusz Parzych, Przemyslaw Biecek
Summary: The growing need for analyzing predictive models has led to the development of new methods for explaining their properties. However, it is not possible to adequately explain a black-box machine learning model using a single method. This leads to diverse interpretations and a lack of understanding, known as the Rashomon effect. Most methods focus on a single aspect of the model's behavior, but this paper proposes an interactive and sequential analysis that combines multiple Explanatory Model Analysis (EMA) methods. The study shows that this approach can improve the accuracy and confidence of human decision making.
DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Nutrition & Dietetics
Maciej Tyszko, Anna Lemanska-Perek, Jakub Smiechowicz, Paulina Tomaszewska, Przemyslaw Biecek, Waldemar Gozdzik, Barbara Adamik
Summary: Gastrointestinal (GI) failure in sepsis can be indicated by changes in biomarkers such as citrulline and I-FABP. Lower citrulline concentrations were observed in septic shock patients compared to non-shock patients. In addition, higher levels of I-FABP were found in septic shock patients on certain days. Patients with GI failure had lower citrulline levels and higher AGI scores, which were associated with increased 28-day mortality. These results suggest that citrulline measurements and AGI assessment have clinical potential in monitoring GI function and integrity in sepsis.
Proceedings Paper
Computer Science, Artificial Intelligence
Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek
Summary: This article provides a brief overview of selected methods in the field of Explainable Artificial Intelligence (xAI), aiming to give beginners a quick summary of the current state of the art.
XXAI - BEYOND EXPLAINABLE AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Katarzyna Woznica, Przemyslaw Biecek
Summary: Meta-learning is a field that explores the performance of different machine learning algorithms on predictive tasks and aims to accelerate hyperparameter tuning or feature engineering. Current research focuses on finding the best meta-model without explaining how different aspects contribute to its performance. To build new generation of meta-models, a deeper understanding of the importance and effect of meta-features on model tunability is needed.
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021, PT I
(2021)
Proceedings Paper
Computer Science, Information Systems
Tomasz Stanislawek, Filip Gralinski, Anna Wroblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
Summary: The Key Information Extraction (KIE) task is becoming increasingly important in natural language processing, introducing new datasets (Kleister NDA and Kleister Charity) that challenge existing models in extracting entities from scanned and born-digital documents in the context of financial reports and Non-disclosure Agreements from charity organizations.
DOCUMENT ANALYSIS AND RECOGNITION - ICDAR 2021, PT I
(2021)
