Clinical Features at Onset and Genetic Characterization of Pediatric and Adult Patients with TNF-α Receptor—Associated Periodic Syndrome (TRAPS): A Series of 80 Cases from the AIDA... by Carla Gaggiano, Antonio Vitale, Laura Obici, Giampaolo Merlini, Alessandra Soriano, Ombretta Viapiana, Marco Cattalini, Maria Cristina Maggio, Giuseppe Lopalco, Davide Montin, Masen Abdel Jaber, Lorenzo Dagna, Raffaele Manna, Antonella Insalaco, Matteo Piga, Francesco La Torre, Virginia Berlengiero, Viviana Gelardi, Luisa Ciarcia, Giacomo Emmi, Piero Ruscitti, Francesco Caso, Rolando Cimaz, José Hernández-Rodríguez, Paola Parronchi, Ludovico Luca Sicignano, Elena Verrecchia, Florenzo Iannone, Jurgen Sota, Salvatore Grosso, Carlo Salvarani, Bruno Frediani, Roberto Giacomelli, Maria Antonietta Mencarelli, Alessandra Renieri, Donato Rigante, Luca Cantarini

“…This study describes one of the widest cohorts of TRAPS patients in the literature, suggesting that the clinical expression of this syndrome is more influenced by the penetrance of the mutation rather than by the age at onset itself. Given the high phenotypic heterogeneity of the disease, a definite diagnosis should rely on both accurate working clinical assessment and complementary genotype.…”
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Performance of a hybrid capture-based target enrichment next-generation sequencing for the identification of respiratory pathogens and resistance-associated genes in patients with... by Wei-Yu Hsu, Ting-Wei Kao, Hsin-Ching Cho, Sheng-Yuan Ruan, Tai-Fen Lee, Yu-Tsung Huang, Jung-Yien Chien

“…Unlike conventional phenotypic approach, novel measures using molecular interrogation appear promising. …”
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An integrated microbiome- and metabolome-genome-wide association study reveals the role of heritable ruminal microbial carbohydrate metabolism in lactation performance in Holstein... by Chenguang Zhang, Huifeng Liu, Xingwei Jiang, Zhihong Zhang, Xinfeng Hou, Yue Wang, Dangdang Wang, Zongjun Li, Yangchun Cao, Shengru Wu, Sharon A. Huws, Junhu Yao

“…To address this gap, we collected and analyzed whole-genome resequencing data, rumen metagenomes, rumen metabolomes and short-chain fatty acids (SCFAs) content, and lactation performance phenotypes from a cohort of 304 dairy cows. Results The results indicated that the proportions of highly heritable subsets (h 2  ≥ 0.2) of the rumen microbial composition (55%), function (39% KEGG and 28% CAZy), and metabolites (18%) decreased sequentially. …”
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Dysplasie faciale chez les chimpanzés sauvages de Sebitoli, parc national de Kibale, Ouganda : approches éthologiques, ethnographiques et agronomiques by Régine Gross, Francis Gumisiriza, Bernard T Kiremire, Andrew Seguya, Sabrina Krief

“…Près de 10 % des 80 chimpanzés composant la communauté de chimpanzés sauvages (Pan troglodytes schweinfurthii) de Sebitoli, dans le parc national de Kibale en Ouganda, présentent des phénotypes faciaux singuliers. L'étiologie de cette malformation est inconnue mais des études menées sur des groupes de macaques au Japon et à Hong Kong sévèrement affectés par des anomalies des membres (jusqu'à 17 % des individus dans les groupes de macaques approvisionnés en nourriture potentiellement contaminée par des pesticides) suspectent une origine congénitale liée aux agents tératogènes contenus dans les pesticides. …”
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4-Octyl itaconate inhibits synovitis in the mouse model of post-traumatic osteoarthritis and alleviates pain by Yu-Zhen Tang, Wan Chen, Bao-Yun Xu, Gang He, Xiu-Cheng Fan, Kang-Lai Tang

“…Purpose: To investigate the pathological changes of the synovium in mice with post-traumatic osteoarthritis (PTOA) treated with 4-octyl itaconate (4-OI) and evaluate the therapeutic effects of 4-OI. Methods: In the phenotypic validation experiment, the mice were randomly divided into 3 groups: wild-type (WT) group, sham group, and destabilization of the medial meniscus (DMM) group. …”
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Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study by Maik JM Beuken, Melanie Kleynen, Susy Braun, Kees Van Berkel, Carla van der Kallen, Annemarie Koster, Hans Bosma, Tos TJM Berendschot, Alfons JHM Houben, Nicole Dukers-Muijrers, Joop P van den Bergh, Abraham A Kroon, Iris M Kanera

“…Data (2971 variables) included demographics, lifestyle, biomedical aspects, advanced phenotyping, and social factors (cohort 2010). The factor probabilistic distance clustering algorithm was applied in order to detect clusters within this high-dimensional data. …”
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Distribution of Airway Findings in ANCA-Associated Vasculitis: A 20-Year Observational Analysis by Megan M. Sullivan, Maximiliano Diaz Menindez, Hassan Baig, Anushka Irani, Ronald Butendieck, Benjamin Wang, Florentina Berianu, Carolyn Mead-Harvey, Andy Abril, Vikas Majithia

“…Future studies with enhanced phenotypic data and larger cohorts are warranted to improve predictive accuracy.…”
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Resistome phylodynamics of multidrug-resistant Shigella isolated from diarrheal patients by Asaduzzaman Asad, Md. Abu Jaher Nayeem, Md. Golam Mostafa, Ruma Begum, Shah Nayeem Faruque, Suraia Nusrin, Israt Jahan, Shoma Hayat, Zhahirul Islam

“…Clinical Shigella strains were screened for MDR phenotypes through susceptibility tests against 28 antibiotics from 10 different classes. …”
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Clinical features and predictors of atrial fibrillation in patients with light‐chain or transthyretin cardiac amyloidosis by Maria Papathanasiou, Aiste‐Monika Jakstaite, Sara Oubari, Johannes Siebermair, Reza Wakili, Julia Hoffmann, Alexander Carpinteiro, Tim Hagenacker, Andreas Thimm, Christoph Rischpler, Lukas Kessler, Tienush Rassaf, Peter Luedike

“…Abstract Aims The study aimed to investigate the prevalence, phenotypic characteristics, and predictors of atrial fibrillation (AF) in patients presenting with cardiac amyloidosis (CA) of light‐chain (AL) or transthyretin (ATTR) type. …”
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National monitoring of antibiotic resistance of pathogens causing community-acquired urinary tract infections in Russia: results of the multicenter epidemiological study «DARMIS -2... by Kozlov R.S., Palagin I.S., Ivanchik N.V., Trushin I.V., Dekhnich A.V., Edelstein M.V., Perepanova T.S., Belashova M.A., Nastausheva T.L., Ivanova I.A., Valiullina I.R., Momotova A.A., Shirokova T.M., Kotov S.V., Pul'bere S.A., Petrova L.V., Eremeeva A.V., Popov S.V., Zhukov V.A., Suhorukova M.V., Plugin P.S., Nikitina I.V., Vityazeva V.P., Zlobnaya K.A., Ibishev H.S., Naboka Yu.L., Kuz'min I.V., Petrov S.B., Slesarevskaya M.N., Savicheva A.M., Husnutdinova T.A., Moskvitina E.N., Andronova T.I., Dolzhenko E.V., Sholomova L.A., Burasova E.G., Lupyreva E.G., Malyavin A.I., Sidorova R.K., Mihajlichenko A.O., Kataeva E.I., Shamaeva S.H., Ahremenko Ya.A., Portnyagina U.S., Ershova M.G.

“…The rate of extended-spectrum beta-lactamase production based on phenotypic test results was 29.6% in the adult subpopulation; 23.6% in the pregnant subpopulation and 33.3% in the children and adolescents under 18 years of age subpopulation. …”
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The HFA‐PEFF score identifies ‘early‐HFpEF’ phenogroups associated with distinct biomarker profiles by Michiel T.H.M. Henkens, Anne‐Mar vanOmmen, Sharon Remmelzwaal, Gideon B. Valstar, Ping Wang, Job A.J. Verdonschot, Mark R. Hazebroek, Leonard Hofstra, Vanessa P.M. vanEmpel, Joline W.J. Beulens, Hester M. denRuijter, Stephane R.B. Heymans

“…Multinominal‐based clustering with latent class model using the HFA‐PEFF domain scores (functional, structural, and biomarker scores) as input was used to detect distinct phenotypic clusters. For each bootstrapping run, the 92 Olink proteins were analysed for their association with the identified phenogroups. …”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…In addition, techniques such as cluster analysis are used to identify symptomatic patterns and phenotypes, which improves understanding of OSA pathophysiology and optimizes CPAP treatment.However, implementation of AI in hospitals faces technological, ethical, and legal barriers. …”
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Exploring the Genotype-Environment Interaction in Sugar Beet (Beta vulgaris L.) Genotypes for Optimal Selection by Mahdi Ramazi, Saeed Sadeghzadeh Hemayati, Heshmat Omidi, Amirmohammad Naji

“…Methods: This research involved the cultivation of 18 sugar beet genotypes that encompassed 15 hybrids and three control varieties previously developed to enhance resistance against rhizomania, rhizoctonia, and cyst nematode diseases. Phenotypic evaluations were conducted over two consecutive crop years (2022 and 2023) at two agricultural research stations in Karaj, Alborz, Iran, and Kermanshah, Kermanshah, Iran, utilizing a randomized complete block design with four replications. …”
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Grain Yield Stability Analysis of Lentil Genotypes by AMMI Indices by Payam Pezeshkpour, Reza Amiri, Iraj Karami, Amir Mirzaei

“…In addition, to maximize yield and control phenotypic expression, breeders must select specific genotypes that are stable or adapted to a specific environment. …”
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Screening of Genes Related to Resistance to Bacterial Leaf Blight in Oryza officinalis by using RNA-seq Technology by Yayun YANG, Feifei ZHANG, Famei ZHANG, Xinxiang A, Chao DONG, Cuifeng TANG, Chunyun YANG, Luyuan DAI

“…【Methods】Two isolates of Xanthomonas oryzae pv. oryzae CX28-3 and PXO99 were inoculated to 38 O. officinalis wild rice materials of 6 populations (Ⅰ-Ⅵ) from Yunnan Province, and different resistance phenotypes were evaluated. The highly resistant and susceptible populations were selected for transcriptome sequencing. …”
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