Introduction

Updated nomenclature for steatotic liver disease (SLD) uses moderate-to-heavy alcohol drinking to classify metabolic dysfunction-associated steatotic liver disease (MASLD) and with increased alcohol intake (MetALD). However, the association between light-to-moderate alcohol drinking (≤14 g/d for females and ≤28 g/d for males) and the risk of SLD, particularly MASLD, remains unclear, with this knowledge gap being especially pronounced in Chinese populations where prospective cohort evidence remains scarce. In this study, we conducted a cohort study of 2942 Chinese adult participants using data from the Anhui Liver Disease Study (ALDS), where SLD and its subtypes were defined based on vibration-controlled transient elastography (VCTE).We examined the relationship between light-to-moderate alcohol drinking and the risk of SLD and MASLD.We further investigated gut microbiome changes linked to light-to-moderate drinking, and assessed the association between light-to-moderate alcohol-associated microbiota and SLD in a subset of the ALDS.

Aims & Methods

We aimed to investigate the association between light-to-moderate drinking and the risk of incident SLD/MASLD, assess the 1-year gut microbiome changes linked to light-to-moderate drinking, and examine the association between light-to-moderate alcohol-associated microbiota and SLD.In a cohort of 2942 Chinese adults from the Anhui Liver Disease Study (ALDS), alcohol intake was measured via a validated food frequency questionnaire, while SLD were diagnosed by vibration-controlled transient elastography. In a subset of ALDS (n=330), dietary information and fecal samples for 16S rRNA sequencing were collected twice, 1 year apart. Cox regression and logistic regression were used to calculate multivariable-adjusted hazard ratios (aHRs) and odds ratios (aORs) with 95%CIs, respectively.

Results

Upon 4 years of follow-up, 513 SLD (473 MASLD) were newly identified among participants without pre-existing SLD. Light-to-moderate alcohol drinkers exhibited higher risks of SLD (aHR=1.27, 95%CI: 1.03-1.58) and MASLD (aHR=1.27, 95%CI: 1.01-1.59) versus abstainers. Such positive association persisted in subgroups by age, sex, the number of cardiometabolic risk factors, physical activity, and diet quality. Beverage-specific analysis revealed positive associations with SLD risk for liquor (aHR=1.29, 95%CI:1.01-1.65) and beer (aHR=1.38, 95%CI: 0.96-1.99), but not wine. Longitudinal microbiome analysis identified 16 genera with altered abundance in light-to-moderate alcohol drinkers: 8 increased (including Actinomyces) and 8 decreased (all P_FDR<0.05). Among these genera, Actinomyces abundance correlated with SLD risk (aOR=1.19, 95%CI: 1.03-1.41).

Conclusion

Our findings support that light-to-moderate alcohol drinking was associated with higher risks of SLD and MASLD, which might be partly via modulation of gut microbial composition.

References

[1] Israelsen M, Francque S, Tsochatzis EA, Krag A. Steatotic liver disease. Lancet. 2024;404(10464):1761-78. https://doi.org/10.1016/S0140-6736(24)01811-7.
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[3] Wong VWS, Ratziu V, Bugianesi E, Francque S, Zelber-Sagi S, Valenti L, Roden M, Schick F, Yki-Järvinen H, Gastaldelli A, Vettor R, Frühbeck G, Dicker D, Easl, Easl, Easd, Easo. EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). J Hepatol. 2024;81(3):492-542. https://doi.org/10.1016/j.jhep.2024.04.031.
[4] Mak LY, Liu K, Chirapongsathorn S, Yew KC, Tamaki N, Rajaram RB, Panlilio MT, Lui R, Lee HW, Lai JC, Kulkarni AV, Premkumar M, Lesmana CRA, Hsu YC, Huang DQ. Liver diseases and hepatocellular carcinoma in the Asia-Pacific region: burden, trends, challenges and future directions. Nat Rev Gastroenterol Hepatol. 2024;21(12):834-51. https://doi.org/10.1038/s41575-024-00967-4.

Introduction

Up to 40% of patients with acute severe ulcerative colitis (ASUC) do not respond to infliximab (IFX)(1) presumably due to insufficient drug exposure (1, 2). We investigated whether personalised IFX induction using predefined serum concentrations was superior to standard dosing.

Aims & Methods

In this prospective, multi-centre trial, adult IFX-naive steroid-refractory ASUC patients were randomised 1:1 to standard (SD) or personalised IFX dosing (PD). After an initial 5 mg/kg IFX infusion, SD was 5 mg/kg IFX at week 2 and 6. In PD, additional 5 mg/kg IFX infusions were administered guided by a Bayesian pharmacokinetic algorithm (iDose™) aiming at IFX serum concentrations >28 ug/mL day 0-28 and >15 ug/mL day 29-42 (3). The primary composite endpoint was clinical and endoscopic response at day 42 (Lichtiger score <10 and ≥3 points drop and UCEIS ≥2 points drop from baseline). Video-endoscopies were performed at baseline, day 42 and 182 and scored by 2 expert readers (XR) with adjudication by a third XR and post hoc also by the DovaVision UC AI tool (AI-R)(4). Key secondary endpoints were day 42 clinical response, day 42 endoscopic response, day 182 clinical remission (Lichtiger ≤3), day 182 endoscopic remission (UCEIS ≤1 on all components), and safety.

Results

48 patients were randomised (23 PD/25 SD) and 31 completed the 26-week study (19 PD/12 SD). Patient characteristics were comparable. Median cumulative IFX dose until day 42 was 18.41 mg/kg [1.77, 20.27] for PD vs 13.79 mg/kg [10.38, 14.82] for SD. The primary composite endpoint at day 42 was not met with XR (57% in PD vs 44% in SD; p=0.564). However, AI-R showed a significantly higher composite response rate in PD (74% in PD vs 32% in SD; p=0.0047). PD showed higher day 42 clinical response vs SD (91% vs 64%; p=0.039). Day 42 endoscopic response was observed in 57% in PD vs 44% in SD (p=0.564) with XR and 74% in PD vs 32% in SD with AI-R (p=0.0047). The proportion of patients in clinical and endoscopic remission at day 182 was higher in PD than in SD (65% vs 36%; p=0.082). Day 182 endoscopic remission with AI-R was higher in PD (52% in PD and 20% in SD; p=0.0337). SAEs occurred in 9% of patients on PD vs 20% of patients on SD. Following an interim analysis, the trial was discontinued based on futility.

Table 1. Baseline characteristics

Conclusion

Personalised IFX dosing was superior to standard dosing in ASUC when endoscopies were read by AI. This is the first IBD study where the primary endpoint, missed by expert assessment, was overturned and met by AI assessment instead. This demonstrates the potential of AI to fundamentally improve clinical trial methodology.

References

1. Seow CH, Newman A, Irwin SP, Steinhart AH, Silverberg MS, Greenberg GR. Trough serum infliximab: a predictive factor of clinical outcome for infliximab treatment in acute ulcerative colitis. Gut. 2010;59(1):49-54.
2. Papamichael K, Van Stappen T, Vande Casteele N, Gils A, Billiet T, Tops S, et al. Infliximab Concentration Thresholds During Induction Therapy Are Associated With Short-term Mucosal Healing in Patients With Ulcerative Colitis. Clin Gastroenterol Hepatol. 2016;14(4):543-9.
3. Ungar B, Mazor Y, Weisshof R, Yanai H, Ron Y, Goren I, et al. Induction infliximab levels among patients with acute severe ulcerative colitis compared with patients with moderately severe ulcerative colitis. Aliment Pharmacol Ther. 2016;43(12):1293-9.
4. Byrne M, Requa J, Panaccione R, Panes J, Bressler B, East JE, et al. Development and Validation of a novel AI-based computer vision solution for Ulcerative Colitis severity scoring on video for real world using high-volume expert-annotated video frames. United European Gastroenterol J. 2025 Oct.

Disclosure

This project received grant support from Pfizer Inc. and research support from Baysient LLC, Buhlmann Laboratories and Dova Health Intelligence.