Zhangyan Li, Qiuhan Lu, Rui Zhang, Nuerbiya Xilifu, Yue Li, Xinmei Huang, Jiaying Zhang, Shufei Zang, Guozhi Jiang, Jun Liu
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Logistic regression was used to explore risk factors for SARS-CoV-2 infection. Peripheral blood samples were collected from 30 GDM and 30 normal glucose-tolerant (NGT) pregnant women in three trimesters (T1, T2, T3) for longitudinal untargeted metabolomics to identify GDM and SARS-CoV-2-associated metabolites. Limma package was applied to find differential metabolites (DEMs) associated with SARS-CoV-2 infection and GDM.</p><p><strong>Results: </strong>Among 1,675 women, 1,348 (80.5%) tested positive for SARS-CoV-2. GDM post-partum women had higher SARS-CoV-2 infection rates (88.3% vs. 79.4%, P = 0.003) than NGT women. GDM was associated with SARS-CoV-2 infection (T2: OR [95% CI]: 2.17 [1.26-3.54], P = 0.005; T3: OR [95% CI]: 1.70 [1.03-2.82], P = 0.040). Compared to the SARS-CoV-2 negative group, the positive group exhibited elevated levels of allantoic acid, LPE (0:0/22:6), LPC (15:0/0:0), 1-linoleoyl-sn-glycero-3-phosphorylcholine in T1 and T2, before clinical intervention. In T3, allantoic acid remained elevated post-intervention. A similar increase as described above was observed in the GDM compared to the NGT group.</p><p><strong>Conclusion: </strong>Compared to NGT, women with GDM are at a higher risk of postnatal SARS-CoV-2 infection. 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However, the impact of this metabolic memory on susceptibility to SARS-CoV-2 remains unclear. Therefore, we aim to investigate the potential association between metabolic memory in GDM and susceptibility to SARS-CoV-2 infection.</p><p><strong>Methods: </strong>We conducted a prospective cohort study with 1,675 pregnant women, including 197 (11.8%) with GDM. Postpartum SARS-CoV-2 infections were tracked via telephone follow-up and categorized into negative and positive groups. Logistic regression was used to explore risk factors for SARS-CoV-2 infection. Peripheral blood samples were collected from 30 GDM and 30 normal glucose-tolerant (NGT) pregnant women in three trimesters (T1, T2, T3) for longitudinal untargeted metabolomics to identify GDM and SARS-CoV-2-associated metabolites. Limma package was applied to find differential metabolites (DEMs) associated with SARS-CoV-2 infection and GDM.</p><p><strong>Results: </strong>Among 1,675 women, 1,348 (80.5%) tested positive for SARS-CoV-2. GDM post-partum women had higher SARS-CoV-2 infection rates (88.3% vs. 79.4%, P = 0.003) than NGT women. GDM was associated with SARS-CoV-2 infection (T2: OR [95% CI]: 2.17 [1.26-3.54], P = 0.005; T3: OR [95% CI]: 1.70 [1.03-2.82], P = 0.040). Compared to the SARS-CoV-2 negative group, the positive group exhibited elevated levels of allantoic acid, LPE (0:0/22:6), LPC (15:0/0:0), 1-linoleoyl-sn-glycero-3-phosphorylcholine in T1 and T2, before clinical intervention. In T3, allantoic acid remained elevated post-intervention. A similar increase as described above was observed in the GDM compared to the NGT group.</p><p><strong>Conclusion: </strong>Compared to NGT, women with GDM are at a higher risk of postnatal SARS-CoV-2 infection. 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引用次数: 0
摘要
目的：妊娠期糖尿病（GDM）妇女即使在临床干预后血糖水平恢复正常后，仍经常出现代谢记忆，这增加了未来代谢紊乱的风险。然而，这种代谢记忆对SARS-CoV-2易感性的影响尚不清楚。因此，我们的目的是研究GDM代谢记忆与SARS-CoV-2感染易感性之间的潜在关联。方法：我们对1675名孕妇进行了一项前瞻性队列研究，其中197名（11.8%）患有GDM。通过电话随访跟踪产后SARS-CoV-2感染情况，并将其分为阴性组和阳性组。采用Logistic回归分析SARS-CoV-2感染的危险因素。收集30例GDM和30例正常糖耐量（NGT）妊娠3个月（T1、T2、T3）孕妇的外周血样本，进行纵向非靶向代谢组学研究，以鉴定GDM和sars - cov -2相关代谢物。采用Limma包检测与SARS-CoV-2感染和GDM相关的差异代谢物（DEMs）。结果：在1675名女性中，1348名（80.5%）检测出SARS-CoV-2阳性。GDM产后妇女SARS-CoV-2感染率（88.3% vs. 79.4%, P = 0.003）高于NGT妇女。GDM与SARS-CoV-2感染相关(T2: OR [95% CI]: 2.17 [1.26-3.54], P = 0.005；T3：或[95% ci]: 1.70 [1.03-2.82], p = 0.040)。与SARS-CoV-2阴性组相比，阳性组在临床干预前T1和T2时尿囊酸、LPE（0:0/22:6）、LPC（15:0/0:0）、1-亚油酰- cn -甘油-3-磷酸胆碱水平升高。在T3中，干预后尿囊酸仍然升高。与NGT组相比，GDM组观察到上述类似的增加。结论：与NGT相比，GDM妇女产后感染SARS-CoV-2的风险更高。GDM的代谢记忆可能增加对SARS-CoV-2的易感性。
Metabolic memory in gestational diabetes enhances SARS-CoV-2 susceptibility in postpartum women: a prospective cohort study integrated with longitudinal metabolomics.
Objective: Women with gestational diabetes mellitus (GDM) often develop a metabolic memory that increases the risk of future metabolic disorders, even after blood glucose levels normalize following clinical intervention. However, the impact of this metabolic memory on susceptibility to SARS-CoV-2 remains unclear. Therefore, we aim to investigate the potential association between metabolic memory in GDM and susceptibility to SARS-CoV-2 infection.
Methods: We conducted a prospective cohort study with 1,675 pregnant women, including 197 (11.8%) with GDM. Postpartum SARS-CoV-2 infections were tracked via telephone follow-up and categorized into negative and positive groups. Logistic regression was used to explore risk factors for SARS-CoV-2 infection. Peripheral blood samples were collected from 30 GDM and 30 normal glucose-tolerant (NGT) pregnant women in three trimesters (T1, T2, T3) for longitudinal untargeted metabolomics to identify GDM and SARS-CoV-2-associated metabolites. Limma package was applied to find differential metabolites (DEMs) associated with SARS-CoV-2 infection and GDM.
Results: Among 1,675 women, 1,348 (80.5%) tested positive for SARS-CoV-2. GDM post-partum women had higher SARS-CoV-2 infection rates (88.3% vs. 79.4%, P = 0.003) than NGT women. GDM was associated with SARS-CoV-2 infection (T2: OR [95% CI]: 2.17 [1.26-3.54], P = 0.005; T3: OR [95% CI]: 1.70 [1.03-2.82], P = 0.040). Compared to the SARS-CoV-2 negative group, the positive group exhibited elevated levels of allantoic acid, LPE (0:0/22:6), LPC (15:0/0:0), 1-linoleoyl-sn-glycero-3-phosphorylcholine in T1 and T2, before clinical intervention. In T3, allantoic acid remained elevated post-intervention. A similar increase as described above was observed in the GDM compared to the NGT group.
Conclusion: Compared to NGT, women with GDM are at a higher risk of postnatal SARS-CoV-2 infection. Metabolic memory from GDM may heighten susceptibility to SARS-CoV-2.
期刊介绍：
Endocrine Connections publishes original quality research and reviews in all areas of endocrinology, including papers that deal with non-classical tissues as source or targets of hormones and endocrine papers that have relevance to endocrine-related and intersecting disciplines and the wider biomedical community.
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