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1.
medRxiv ; 2024 Jan 13.
Artigo em Inglês | MEDLINE | ID: mdl-38260407

RESUMO

Childhood obesity represents a significant global health concern and identifying risk factors is crucial for developing intervention programs. Many 'omics' factors associated with the risk of developing obesity have been identified, including genomic, microbiomic, and epigenomic factors. Here, using a sample of 48 infants, we investigated how the methylation profiles in cord blood and placenta at birth were associated with weight outcomes (specifically, conditional weight gain, body mass index, and weight-for-length ratio) at age six months. We characterized genome-wide DNA methylation profiles using the Illumina Infinium MethylationEpic chip, and incorporated information on child and maternal health, and various environmental factors into the analysis. We used regression analysis to identify genes with methylation profiles most predictive of infant weight outcomes, finding a total of 23 relevant genes in cord blood and 10 in placenta. Notably, in cord blood, the methylation profiles of three genes (PLIN4, UBE2F, and PPP1R16B) were associated with all three weight outcomes, which are also associated with weight outcomes in an independent cohort suggesting a strong relationship with weight trajectories in the first six months after birth. Additionally, we developed a Methylation Risk Score (MRS) that could be used to identify children most at risk for developing childhood obesity. While many of the genes identified by our analysis have been associated with weight-related traits (e.g., glucose metabolism, BMI, or hip-to-waist ratio) in previous genome-wide association and variant studies, our analysis implicated several others, whose involvement in the obesity phenotype should be evaluated in future functional investigations.

2.
J Dev Orig Health Dis ; 15: e7, 2024 Apr 25.
Artigo em Inglês | MEDLINE | ID: mdl-38660759

RESUMO

Childhood obesity represents a significant global health concern and identifying its risk factors is crucial for developing intervention programs. Many "omics" factors associated with the risk of developing obesity have been identified, including genomic, microbiomic, and epigenomic factors. Here, using a sample of 48 infants, we investigated how the methylation profiles in cord blood and placenta at birth were associated with weight outcomes (specifically, conditional weight gain, body mass index, and weight-for-length ratio) at age six months. We characterized genome-wide DNA methylation profiles using the Illumina Infinium MethylationEpic chip, and incorporated information on child and maternal health, and various environmental factors into the analysis. We used regression analysis to identify genes with methylation profiles most predictive of infant weight outcomes, finding a total of 23 relevant genes in cord blood and 10 in placenta. Notably, in cord blood, the methylation profiles of three genes (PLIN4, UBE2F, and PPP1R16B) were associated with all three weight outcomes, which are also associated with weight outcomes in an independent cohort suggesting a strong relationship with weight trajectories in the first six months after birth. Additionally, we developed a Methylation Risk Score (MRS) that could be used to identify children most at risk for developing childhood obesity. While many of the genes identified by our analysis have been associated with weight-related traits (e.g., glucose metabolism, BMI, or hip-to-waist ratio) in previous genome-wide association and variant studies, our analysis implicated several others, whose involvement in the obesity phenotype should be evaluated in future functional investigations.


Assuntos
Metilação de DNA , Obesidade Infantil , Humanos , Feminino , Obesidade Infantil/genética , Gravidez , Masculino , Recém-Nascido , Lactente , Sangue Fetal/metabolismo , Placenta/metabolismo , Índice de Massa Corporal , Epigênese Genética , Adulto
3.
JTCVS Open ; 19: 296-308, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-39015471

RESUMO

Objectives: Surgery through a single port may be less painful because access is supplied by 1 intercostal nerve or more painful because multiple instruments are used in 1 port. We analyzed data collected from the video-assisted thoracoscopic surgery group of a randomized controlled trial to compare differences in pain up to 1 year. Methods: Groups were compared in a prespecified exploratory analysis using direct (regression) and indirect comparison (difference with respect to thoracotomy). In-hospital visual analogue scale pain scores were used, and analgesic ratios were calculated. After discharge, pain was evaluated using European Organization for Research and Treatment of Cancer Quality of Life Questionnaires-Core 30 scores up to 1 year. Results: From July 2015 to February 2019, we randomized 503 participants. After excluding 50 participants who did not receive lobectomy, surgery was performed using a single port in 42 participants (predominately by a single surgeon), multiple ports in 166 participants, and thoracotomy in 245 participants. No differences were observed in-hospital between single- and multiple-port video-assisted thoracoscopic surgery when modeled using a direct comparison, mean difference of -0.24 (95% CI, -1.06 to 0.58) or indirect comparison, mean difference of -0.33 (-1.16 to 0.51). Mean analgesic ratio (single/multiple port) was 0.75 (0.64 to 0.87) for direct comparison and 0.90 (0.64 to 1.25) for indirect comparison. After discharge, pain for single-port video-assisted thoracoscopic surgery was lower than for multiple-port video-assisted thoracoscopic surgery (first 3 months), and corresponding physical function was higher up to 12 months. Conclusions: There were no consistent differences for in-hospital pain when lobectomy was undertaken using 1 or multiple ports. However, better pain scores and physical function were observed for single-port surgery after discharge.

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