Journal Articles

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Author: search.filters.author.Chen XSubject: search.filters.subject.Humans

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    The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester.
    (Frontiers Media S.A., 2022-12-02) Chen X; Zhao X; Jones MB; Harper A; de Seymour JV; Yang Y; Xia Y; Zhang T; Qi H; Gulliver J; Cannon RD; Saffery R; Zhang H; Han T-L; Baker PN; Zhou N
    BACKGROUND: Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have been shown to reflect pollution exposure, few studies have examined the link between environmental exposures, the maternal hair metabolome and GDM. The aim of this study was to investigate the longitudinal relationship (from pre-conception through to the third trimester) between air pollution exposure, the hair metabolome and GDM in a Chinese cohort. METHODS: A total of 1020 women enrolled in the Complex Lipids in Mothers and Babies (CLIMB) birth cohort were included in our study. Metabolites from maternal hair segments collected pre-conception, and in the first, second, and third trimesters were analysed using gas chromatography-mass spectrometry (GC-MS). Maternal exposure to air pollution was estimated by two methods, namely proximal and land use regression (LUR) models, using air quality data from the air quality monitoring station nearest to the participant's home. Logistic regression and mixed models were applied to investigate associations between the air pollution exposure data and the GDM associated metabolites. RESULTS: Of the 276 hair metabolites identified, the concentrations of fourteen were significantly different between GDM cases and non-GDM controls, including some amino acids and their derivatives, fatty acids, organic acids, and exogenous compounds. Three of the metabolites found in significantly lower concentrations in the hair of women with GDM (2-hydroxybutyric acid, citramalic acid, and myristic acid) were also negatively associated with daily average concentrations of PM2.5, PM10, SO2, NO2, CO and the exposure estimates of PM2.5 and NO2, and positively associated with O3. CONCLUSIONS: This study demonstrated that the maternal hair metabolome reflects the longitudinal metabolic changes that occur in response to environmental exposures and the development of GDM.
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    Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age.
    (Elsevier B.V., 2023-08-13) Swami V; Tran US; Stieger S; Aavik T; Ranjbar HA; Adebayo SO; Afhami R; Ahmed O; Aimé A; Akel M; Halbusi HA; Alexias G; Ali KF; Alp-Dal N; Alsalhani AB; Álvares-Solas S; Amaral ACS; Andrianto S; Aspden T; Argyrides M; Aruta JJBR; Atkin S; Ayandele O; Baceviciene M; Bahbouh R; Ballesio A; Barron D; Bellard A; Bender SS; Beydağ KD; Birovljević G; Blackburn M-È; Borja-Alvarez T; Borowiec J; Bozogáňová M; Bratland-Sanda S; Browning MHEM; Brytek-Matera A; Burakova M; Çakır-Koçak Y; Camacho P; Camilleri VE; Cazzato V; Cerea S; Chaiwutikornwanich A; Chaleeraktrakoon T; Chambers T; Chen Q-W; Chen X; Chien C-L; Chobthamkit P; Choompunuch B; Compte EJ; Corrigan J; Cosmas G; Cowden RG; Czepczor-Bernat K; Czub M; da Silva WR; Dadfar M; Dalley SE; Dany L; Datu JAD; Berbert de Carvalho PH; Coelho GLDH; De Jesus AOS; Debbabi SH; Dhakal S; Di Bernardo F; Dimitrova DD; Dion J; Dixson B; Donofrio SM; Drysch M; Du H; Dzhambov AM; El-Jor C; Enea V; Eskin M; Farbod F; Farrugia L; Fian L; Fisher ML; Folwarczny M; Frederick DA; Fuller-Tyszkiewicz M; Furnham A; García AA; Geller S; Ghisi M; Ghorbani A; Martinez MAG; Gradidge S; Graf S; Grano C; Gyene G; Hallit S; Hamdan M; Handelzalts JE; Hanel PHP; Hawks SR; Hekmati I; Helmy M; Hill T; Hina F; Holenweger G; Hřebíčková M; Ijabadeniyi OA; Imam A; İnce B; Irrazabal N; Jankauskiene R; Jiang D-Y; Jiménez-Borja M; Jiménez-Borja V; Johnson EM; Jovanović V; Jović M; Jović M; Junqueira ACP; Kahle L-M; Kantanista A; Karakiraz A; Karkin AN; Kasten E; Khatib S; Khieowan N; Kimong PJ; Kiropoulos L; Knittel J; Kohli N; Koprivnik M; Kospakov A; Król-Zielińska M; Krug I; Kuan G; Kueh YC; Kujan O; Kukić M; Kumar S; Kumar V; Lamba N; Lauri MA; Laus MF; LeBlanc LA; Lee HJ; Lipowska M; Lipowski M; Lombardo C; Lukács A; Maïano C; Malik S; Manjary M; Baldó LM; Martinez-Banfi M; Massar K; Matera C; McAnirlin O; Mebarak MR; Mechri A; Meireles JFF; Mesko N; Mills J; Miyairi M; Modi R; Modrzejewska A; Modrzejewska J; Mulgrew KE; Myers TA; Namatame H; Nassani MZ; Nerini A; Neto F; Neto J; Neves AN; Ng S-K; Nithiya D; O J; Obeid S; Oda-Montecinos C; Olapegba PO; Olonisakin TT; Omar SS; Örlygsdóttir B; Özsoy E; Otterbring T; Pahl S; Panasiti MS; Park Y; Patwary MM; Pethö T; Petrova N; Pietschnig J; Pourmahmoud S; Prabhu VG; Poštuvan V; Prokop P; Ramseyer Winter VL; Razmus M; Ru T; Rupar M; Sahlan RN; Hassan MS; Šalov A; Sapkota S; Sarfo JO; Sawamiya Y; Schaefer K; Schulte-Mecklenbeck M; Seekis V; Selvi K; Sharifi M; Shrivastava A; Siddique RF; Sigurdsson V; Silkane V; Šimunić A; Singh G; Slezáčková A; Sundgot-Borgen C; Ten Hoor G; Tevichapong P; Tipandjan A; Todd J; Togas C; Tonini F; Tovar-Castro JC; Trangsrud LKJ; Tripathi P; Tudorel O; Tylka TL; Uyzbayeva A; Vally Z; Vanags E; Vega LD; Vicente-Arruebarrena A; Vidal-Mollón J; Vilar R; Villegas H; Vintilă M; Wallner C; White MP; Whitebridge S; Windhager S; Wong KY; Yau EK; Yamamiya Y; Yeung VWL; Zanetti MC; Zawisza M; Zeeni N; Zvaríková M; Voracek M
    The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset - with data collected between 2020 and 2022 - to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.
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    Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses.
    (Springer Nature, 2023-06-26) Dimou N; Kim AE; Flanagan O; Murphy N; Diez-Obrero V; Shcherbina A; Aglago EK; Bouras E; Campbell PT; Casey G; Gallinger S; Gruber SB; Jenkins MA; Lin Y; Moreno V; Ruiz-Narvaez E; Stern MC; Tian Y; Tsilidis KK; Arndt V; Barry EL; Baurley JW; Berndt SI; Bézieau S; Bien SA; Bishop DT; Brenner H; Budiarto A; Carreras-Torres R; Cenggoro TW; Chan AT; Chang-Claude J; Chanock SJ; Chen X; Conti DV; Dampier CH; Devall M; Drew DA; Figueiredo JC; Giles GG; Gsur A; Harrison TA; Hidaka A; Hoffmeister M; Huyghe JR; Jordahl K; Kawaguchi E; Keku TO; Larsson SC; Le Marchand L; Lewinger JP; Li L; Mahesworo B; Morrison J; Newcomb PA; Newton CC; Obon-Santacana M; Ose J; Pai RK; Palmer JR; Papadimitriou N; Pardamean B; Peoples AR; Pharoah PDP; Platz EA; Potter JD; Rennert G; Scacheri PC; Schoen RE; Su Y-R; Tangen CM; Thibodeau SN; Thomas DC; Ulrich CM; Um CY; van Duijnhoven FJB; Visvanathan K; Vodicka P; Vodickova L; White E; Wolk A; Woods MO; Qu C; Kundaje A; Hsu L; Gauderman WJ; Gunter MJ; Peters U
    BACKGROUND: Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis. METHODS: We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test). RESULTS: Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value3-d.f.: 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value2-d.f.: 7.84 × 10-09). DISCUSSION: These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.
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    A Study of the Interaction, Morphology, and Structure in Trypsin-Epigallocatechin-3-Gallate Complexes
    (MDPI (Basel, Switzerland), 2021-07-28) Liu J; Ghanizadeh H; Li X; Han Z; Qiu Y; Zhang Y; Chen X; Wang A; Tresserra-Rimbau A; Bresciani L
    Understanding the interaction between proteins and polyphenols is of significance to food industries. The aim of this research was to investigate the mode of aggregation for trypsin-EGCG (Epigallocatechin-3-gallate) complexes. For this, the complex was characterized by fluorescence spectroscopy, circular dichroism (CD) spectra, small-angel X-ray scattering (SAXS), and atomic force microscope (AFM) techniques. The results showed that the fluorescence intensity of trypsin-EGCG complexes decreased with increasing the concentration of EGCG, indicating that the interaction between trypsin and EGCG resulted in changes in the microenvironment around fluorescent amino acid residues. The results of CD analysis showed conformational changes in trypsin after binding with EGCG. The results from SAXS analysis showed that the addition of EGCG results in the formation of aggregates of trypsin-EGCG complexes, and increasing the concentration of EGCG resulted in larger aggregates. AFM images showed that the trypsin-EGCG complex formed aggregates of irregular ellipsoidal shapes with the size of about 200 × 400 × 200 nm, with EGCG interconnecting the trypsin particles. Overall, according to these results, it was concluded that the large aggregates of trypsin-EGCG complexes are formed from several small aggregates that are interconnected. The results of this study shed some light on the interaction between digestive enzymes and EGCG.
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    A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk.
    (American Association for Cancer Research, 2023-08-01) Aglago EK; Kim A; Lin Y; Qu C; Evangelou M; Ren Y; Morrison J; Albanes D; Arndt V; Barry EL; Baurley JW; Berndt SI; Bien SA; Bishop DT; Bouras E; Brenner H; Buchanan DD; Budiarto A; Carreras-Torres R; Casey G; Cenggoro TW; Chan AT; Chang-Claude J; Chen X; Conti DV; Devall M; Diez-Obrero V; Dimou N; Drew D; Figueiredo JC; Gallinger S; Giles GG; Gruber SB; Gsur A; Gunter MJ; Hampel H; Harlid S; Hidaka A; Harrison TA; Hoffmeister M; Huyghe JR; Jenkins MA; Jordahl K; Joshi AD; Kawaguchi ES; Keku TO; Kundaje A; Larsson SC; Marchand LL; Lewinger JP; Li L; Lynch BM; Mahesworo B; Mandic M; Obón-Santacana M; Moreno V; Murphy N; Nan H; Nassir R; Newcomb PA; Ogino S; Ose J; Pai RK; Palmer JR; Papadimitriou N; Pardamean B; Peoples AR; Platz EA; Potter JD; Prentice RL; Rennert G; Ruiz-Narvaez E; Sakoda LC; Scacheri PC; Schmit SL; Schoen RE; Shcherbina A; Slattery ML; Stern MC; Su Y-R; Tangen CM; Thibodeau SN; Thomas DC; Tian Y; Ulrich CM; van Duijnhoven FJ; Van Guelpen B; Visvanathan K; Vodicka P; Wang J; White E; Wolk A; Woods MO; Wu AH; Zemlianskaia N; Hsu L; Gauderman WJ; Peters U; Tsilidis KK; Campbell PT
    Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.