ADAM33
- Known as:
- ADAM33
- Catalog number:
- 001152A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ADAM33
Ask about this productRelated genes to: ADAM33
- Gene:
- ADAM33 NIH gene
- Name:
- ADAM metallopeptidase domain 33
- Previous symbol:
- C20orf153
- Synonyms:
- DKFZp434K0521, dJ964F7.1
- Chromosome:
- 20p13
- Locus Type:
- gene with protein product
- Date approved:
- 2001-04-10
- Date modifiied:
- 2015-08-26
Related products to: ADAM33
Related articles to: ADAM33
- Atopic dermatitis (AD) is a clinically heterogeneous immune-mediated skin disorder. The lack of reliable clinical stratification tools and predictive biomarkers for therapeutic response remains a critical unmet need to optimize treatment and advance precision dermatology. - Source: PubMed
Publication date: 2026/04/10
Morelli MartinaScaglione Giovanni LucaDattolo AnnaGalluzzo MarcoScarponi ClaudiaMoretta GaiaProvini AlessiaRusso FilomenaCocuroccia BarbaraSordi DonatellaTalamonti MarinaVillella ValeriaSelvi Fabio RomanoMercurio LauraPaganini ClaudiaMortato EdoardoBianchi LucaDe Pità OrnellaPallotta SabatinoScala EnricoAlbanesi CristinaMadonna Stefania - To explore the potential association between five single nucleotide polymorphisms (SNPs) (rs44707, rs612709, rs598418, rs2280089, and rs574174) in the ADAM33 gene and asthma susceptibility in the Zhuang population of Guangxi, China. - Source: PubMed
Publication date: 2026/03/21
Qin Zan-MeiHuang Xue-MeiWei XuanHe Zhi-YiDeng Jing-Min - The phenotypic nature of multimorbidity in severe asthma is poorly understood. Our aims in this study were to define multimorbidity phenotypes and their characteristics in severe asthma across Europe by identifying and characterising co-aggregation of comorbidities. - Source: PubMed
Publication date: 2026/02/05
Freeman AnnaRink SašaBansal Aruna TFrankemölle BettySingh MeharSont Jacob KBossios ApostolosAinsworth BenHyland MichaelChaudhuri RekhaMatisa DaceMihaltan FlorinSpanevello AntonioHeffler EnricoAdcock IanZappa MartinaCanonica Giorgio WalterBrusselle GuyBourdin ArnaudMaria Luigia Costanzo Giulia AnnaHorvath IldikoLúðvíksdóttir DóraPrincipe StefaniaKopač PeterLoureiro Cláudia ChavesSiddiqui SalmanEgesten ArneKalinauskaite-Zukauske VirginijaDimic-Janjic SanjaRoberts GrahamHromis SanjaMilenkovic BranislavaVarkonyi-Sepp JuditGoksel OzlemPereira Ana MDjukanovic RatkoRizzi AngelaCaminati MarcoHou RuihuaŠtajduhar AnamarijaParóczai DóraBrussino LuisaHeaney LiamHaitchi Hans MichaelBonini MatteoBieksiene KristinaDamadoglu EbruYasinska ValentynaGemicioglu BilunGrle Sanja PopovićBrinke Anneke TenCsoma ZsuzsannaKroica IvetaKuna PiotrDahlen BarbroPorsbjerg CelesteHodge HilaryŠkrgat SabinaSchleich FlorenceKurukulaaratchy Ramesh J - The Body Mass Index (BMI), integrating body weight and length, is a widely used metric for obesity assessment in humans. As pigs serve as crucial biomedical models, the application of BMI in swine and its genetic basis remain poorly explored. This study aimed to investigate the genetic architecture of pig BMI and compare two carcass-based BMI metrics (BMI-S and BMI-O) for breeding applicability. A total of 439 Landrace × Yorkshire crossbred pigs were genotyped with a 50 K SNP chip; heritability was estimated via a mixed linear model, and genome-wide association study (GWAS) was performed using the BLINK model. BMI-S and BMI-O exhibited moderate-to-high heritability of 0.55 and 0.47, respectively, with 17 genome-wide significant SNPs detected-including the top associated SNP on chromosome 4 and on chromosome 7. Key candidate genes (, , , ) and 5 SNP-trait associations validated in PigQTLdb were linked to lipid/energy metabolism and muscle development. Carcass-based BMI improved phenotypic accuracy, and our findings provide core genetic markers and a theoretical basis for molecular breeding of pig body conformation and lipid deposition traits. - Source: PubMed
Publication date: 2026/01/14
Jin LongBai ChunyanChen JinghanFeng ChengyueDong FengyiZhang XiaoranFei JunwenHe YuLiu WuyangChen ChangyiSun BoxingWang DaliSun Hao - Gastroesophageal reflux disease is a common condition that can lead to various complications, with gastroesophageal reflux cough (GERC) being one of the notable manifestations. Despite conventional therapies targeting acid suppression, recurrence and incomplete efficacy remain significant challenges. Tongjiang Hewei Decoction (THD), a traditional Chinese formulation, has shown clinical promise in alleviating GERD-related symptoms. However, its therapeutic mechanisms in GERC remain unexplored. In this study, the airway hyperresponsiveness (AHR) guinea pig model was constructed by infusing hydrochloric acid into the lower esophagus. Transcriptome sequencing was used to identify THD-related possible pathways in GERC. Lung resistance was measured to evaluate lung function. Hematoxylin-eosin staining, immunohistochemistry, real-time fluorescence quantitative polymerase chain reaction, and western blotting were employed to assess airway remodeling. Airway smooth muscle cells were isolated to further investigate the effects of THD in vitro. In vivo assay indicated that THD reduced lung resistance and attenuated bronchial wall thickening, mucus hypersecretion, and inflammatory infiltration in a dose-dependent manner. Mechanistically, THD suppressed ADAM33, RhoA/ROCK, and Epac1/Rap1 pathways in vivo, correlating with reduced α-SMA and sm-MHC expression. Transcriptomic analysis revealed that THD exerted its effects through the Epac1/Rap1 signaling pathway. The Rap1 activator reversed THD's anti-AHR effects. In vitro, THD inhibited contractile protein synthesis via ADAM33 silencing, while ADAM33 overexpression abolished this effect. Collectively, THD alleviated GERC-induced AHR through dual modulation of the ADAM33/RhoA/ROCK axis and Epac1/Rap1 signaling, providing novel mechanistic insights into its therapeutic potential. These findings position THD as a multifaceted candidate for GERC management, bridging traditional medicine with modern molecular pharmacology. - Source: PubMed
Publication date: 2025/12/18
Zhang XiulianLi XueliangCheng YanmeiWei LeiLiu FangyingLi LiZhang WeiYan Xiuli