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Biomedical subjects

Weiguo Hu

Publications and source records attributed to Weiguo Hu.

2 recordsLinked to original sources

Age-stratified associations of glycemia, blood pressure, and cholesterol with mortality in diabetes: A prospective cohort study.

BACKGROUND: Optimization of HbA1c, blood pressure and cholesterol, referred to as the "ABCs", is central to the management of diabetes. However, the age-specific associations of these factors with mortality in patients with diabetes remains unclear. METHODS: In this prospective cohort study, 43,732 Chinese adults aged&#x2009;&#x2265;&#x2009;40 years with diabetes were included from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Participants were stratified by age (<&#x2009;55, 55-<65, 65-<75, &#x2265;&#x2009;75 years). Cox proportional hazards regression and Fine-Gray competing risk models were employed to estimate the associations of HbA1c, systolic blood pressure (SBP), and low-density lipoprotein cholesterol (LDL-C) with all-cause, cardiovascular, and non-cardiovascular mortality across age groups. Relative importance and population attributable fractions (PAFs) were computed for each metabolic factor. RESULTS: During a median follow-up of 10.1 years, 3,975 deaths were documented. Age significantly modified the associations of HbA1c, SBP, and LDL-C with all mortality outcomes (all P for interaction&#x2009;<&#x2009;0.05). Among participants aged&#x2009;<&#x2009;75 years, HbA1c showed graded positive associations with all-cause, cardiovascular, and non-cardiovascular mortality. The SBP thresholds associated with increased mortality risk were 140 mmHg in those aged&#x2009;<&#x2009;65 years and 160 mmHg in those aged 65-<75 years. Among those aged&#x2009;&#x2265;&#x2009;75 years, however, the patterns of these associations differed markedly. Elevated mortality risk was observed only at HbA1c&#x2009;&#x2265;&#x2009;9%, with a hazard ratio (HR) of 1.51 (95% confidence interval [CI]: 1.19-1.91) for all-cause mortality and a subdistribution hazard ratio (SHR) of 1.70 (95% CI: 1.23-2.36) for cardiovascular mortality, while SBP showed no significant association with any mortality outcome in this age group. Moreover, LDL-C emerged as a significant risk factor for cardiovascular mortality. Compared with participants with LDL-C&#x2009;<&#x2009;1.8 mmol/L, those with LDL-C of 1.8-<2.6 mmol/L exhibited a significantly higher risk (SHR: 1.86; 95% CI: 1.11-3.11). Additionally, LDL-C had the largest PAF for cardiovascular mortality (9.6%) within this age group. CONCLUSIONS: The impacts of ABC factors on mortality risk vary substantially by age among adults with diabetes. In patients aged&#x2009;&#x2265;&#x2009;75 years, less stringent glycemic and blood pressure targets may be appropriate, whereas lipid management remains critically important for reducing cardiovascular mortality.

Humans

tRNA m1A modification orchestrates STING translation in macrophages to enhance antitumor immunity and CAR-macrophage immunotherapy.

Tumor-associated macrophages (TAMs) play crucial roles in tumor progression. However, the mechanisms underlying the posttranscriptional regulation of TAMs remain largely unknown. Here, we demonstrated that Trmt61a, the "writer" enzyme of tRNA N1-methyladenosine (m1A) modification, is highly expressed in proinflammatory macrophages in tumor microenvironment. We generated conditional knockout (KO) mice for Trmt61a and observed that Trmt61a deletion in macrophages significantly promoted tumor growth. Mechanistically, we identified that m1A maintains the translation of STING, enhances STING-TBK1-IFN-&#x3b2; signaling in macrophages and therefore suppresses tumor cell growth. We further generated TRMT61A-overexpressing human iPSC-derived CAR-macrophage and demonstrated that human TRMT61A effectively promoted antitumor CAR-macrophage therapy in vivo. Collectively, our findings reveal a novel regulatory mechanism of tRNA m1A modification in macrophages, highlighting the antitumor therapeutic potential of targeting tRNA m1A modification in macrophages.

Animals