Modelling phytoplankton-virus interactions: phytoplankton blooms and lytic virus transmission.

A dynamic reaction-diffusion model of four variables is proposed to describe the spread of lytic viruses among phytoplankton in a poorly mixed aquatic environment. The basic ecological reproductive index for phytoplankton invasion and the basic reproduction number for virus transmission are derived to characterize the phytoplankton growth and virus transmission dynamics. The theoretical and numerical results from the model show that the spread of lytic viruses effectively controls phytoplankton blooms. This validates the observations and experimental results of Emiliana huxleyi-lytic virus interactions. The studies also indicate that the lytic virus transmission cannot occur in a low-light or oligotrophic aquatic environment.

Antiviral therapy response in patients with chronic hepatitis B and fatty liver: A systematic review and meta-analysis.

The impact of concurrent fatty liver (FL) on response to antiviral therapy in chronic hepatitis B (CHB) patients has not been well characterized. We aimed to systematically review and analyse antiviral treatment response in CHB patients with and without FL. We searched PubMed, Embase, Web of Science and the Cochrane Library databases from inception to 31 May 2023 for relevant studies. Biochemical response (BR), complete viral suppression (CVS) and hepatitis B e antigen (HBeAg) seroconversion in CHB patients with FL (CHB-FL) and without FL (non-FL CHB) were compared. In an initial pool of 2101 citations, a total of 10 studies involving 2108 patients were included. After 12 weeks of treatment, CHB-FL patients as compared with non-FL CHB patients had lower BR rate (48.37% [108/227] vs. 72.98% [126/174], p = .04) but similar trend for CVS (36.86% [80/227] vs. 68.81% [114/174], p = .05) and similar rates of HBeAg seroconversion (6.59% [7/103] vs. 7.40% [7/110], p = .89). However, at week 48, there were no statistically significant differences between CHB-FL and non-FL CHB patients in any of the outcomes, including BR (60.03% [213/471] vs. 69.37% [314/717], p = .67), CVS (65.63% [459/746] vs. 73.81% [743/1132], p = .27) and HBeAg seroconversion (10.01% [30/275] vs. 14.06% [65/453], p = .58) with similar findings for week 96. BR rate was lower in CHB-FL patients after 12 weeks of antiviral treatment. However, after a longer follow-up of either 48 or 96 weeks, no statistically significant differences were observed in BR, CVS or HBeAg seroconversion rates between CHB patients with and without FL.

Morus alba L. (Sangzhi) alkaloids mitigate atherosclerosis by regulating M1/M2 macrophage polarization.

BACKGROUND: Atherosclerosis (AS) is an important cause of cardiovascular disease, posing a substantial health risk. Recognized as a chronic inflammatory disorder, AS hinges on the pivotal involvement of macrophages in arterial inflammation, participating in its formation and progression. Sangzhi alkaloid (SZ-A) is a novel natural alkaloid extracted from the mulberry branches, has extensive pharmacological effects and stable pharmacokinetic characteristics. However, the effects and mechanisms of SZ-A on AS remain unclear. PURPOSE: To explore the effect and underlying mechanisms of SZ-A on inflammation mediated by macrophages and its role in AS development. METHODS: Atherosclerosis was induced in vivo in apolipoprotein E-deficient mice through a high-fat and high-choline diet. We utilized macrophages and vascular endothelial cells to investigate the effects of SZ-A on macrophage polarization and its anti-inflammatory properties on endothelial cells in vitro. The transcriptomic analyses were used to investigate the major molecule that mediates cell-cell interactions and the antiatherogenic mechanisms of SZ-A based on AS, subsequently validated in vivo and in vitro. RESULTS: SZ-A demonstrated a significant inhibition in vascular inflammation and alleviation of AS severity by mitigating macrophage infiltration and modulating M1/M2 macrophage polarization in vitro and in vivo. Moreover, SZ-A effectively reduced the release of the proinflammatory mediator C-X-C motif chemokine ligand (CXCL)-10, predominantly secreted by M1 macrophages. This reduction in CXCL-10 contributed to improved endothelial cell function, reduced recruitment of additional macrophages, and inhibited the inflammatory amplification effect. This ultimately led to the suppression of atherogenesis. CONCLUSION: SZ-A exhibited potent anti-inflammatory effects by inhibiting macrophage-mediated inflammation, providing a new therapeutic avenue against AS. This is the first study demonstrating the efficacy of SZ-A in alleviating AS severity and offers novel insights into its anti-inflammatory mechanism.

A sodium alginate gel bead adsorbent doping with amidoxime-modified hydroxyapatite for the efficient adsorption of uranium.

In this work, the modified­sodium alginate gel beads were prepared by sol-gel method. Due to the presence of water channels in the sodium alginate gel bead, amidoxime groups and PO43- were exposed to the surface of the adsorbent to the maximum extent, resulting in the excellent adsorption capacity of modified­sodium alginate gel beads. The introduction of amidoxime-modified hydroxyapatite significantly improved the adsorption capacity and the adsorption rate of the gel beads. The adsorption capacity increased from 308.7 to 466.0 mg/g and the adsorption equilibrium time was shortened from 300 min to 120 min. The modified­sodium alginate gel bead possessed the advantages of short adsorption time, high adsorption efficiency and large adsorption capacity, which could be regarded as a potential adsorbent for uranium. Moreover, the uranium removal ability on the modified gel beads was mainly attributed to the Coulomb force between PO43- and uranium and the complexation between uranium and amidoxime groups. In summary, this work would provide a new idea for the modification and application of sodium alginate-based materials.

Self-management behaviours in adults with non-alcoholic fatty liver disease: a cross-sectional survey from China.

OBJECTIVES: The prevalence of non-alcoholic fatty liver disease (NAFLD) in China has significantly increased due to changing lifestyles and rising obesity rates. Effective self-management behaviours are crucial for reversing NAFLD. This study aimed to assess the current self-management status and the influencing factors among the Chinese NAFLD population. DESIGN: A cross-sectional study. SETTING: This was a study conducted between 30 May 2022 and 30 May 2023 at a tertiary care hospital. PARTICIPANTS: A total of 380 patients diagnosed with NAFLD were included in this study. NAFLD patients included in this study were diagnosed by FibroScan and had a controlled attenuation parameter ≥248 dB/m. PRIMARY OUTCOMES AND MEASURES: The primary outcomes were self-management, demographic characteristics and clinical features of patients with NAFLD. Self-management-related domains were assessed using the self-management questionnaire of NAFLD. RESULTS: The study included 380 patients with an average age of 42.79±13.77 years, with 62.89% being male. The mean score on the self-management scale was 80.92±18.31, indicating a low level of self-management behaviours. Among the five dimensions of the self-management scale, lifestyle management received the highest score (10.68±2.53), while disease knowledge management received the lowest score (9.29±2.51). Furthermore, gender (ß=0.118, p=0.009), education level (ß=0.118, p=0.010), body mass index (BMI) (ß=-0.141, p=0.002) and sleep quality (ß=0.387, p<0.001) were found to influence the self-management behaviours of patients to some extent. CONCLUSIONS: This cross-sectional survey in China revealed impaired self-management behaviours among adults with NAFLD. The study identified significant associations between self-management behaviours and gender, education level, BMI and sleep quality. Healthcare providers should focus on optimising the care of NAFLD patients to enhance their self-management behaviours.

The impact of an increased Fibrosis-4 index and the severity of hepatic steatosis on mortality in individuals living with diabetes.

BACKGROUND AND AIMS: Data on the effects of liver fibrosis and hepatic steatosis on outcomes in individuals living with diabetes are limited. Therefore, we investigated the predictive value of the fibrosis and the severity of hepatic steatosis for all-cause mortality in individuals living with diabetes. METHODS: A total of 1903 patients with diabetes from the Third National Health and Nutrition Examination Survey (NHANES III) dataset were enrolled. Presumed hepatic fibrosis was evaluated with Fibrosis-4 index (FIB-4). The mortality risk and corresponding hazard ratio (HR) were analyzed with the Kaplan-Meier method and multivariable Cox proportional hazard models. RESULTS: Over a median follow-up of 19.4 years, all-cause deaths occurred in 69.6%. FIB-4 ≥ 1.3 was an independent predictor of mortality in individuals living with diabetes (HR 1.219, 95% confidence interval [CI]: 1.067-1.392, p = 0.004). Overall, FIB-4 ≥ 1.3 without moderate-severe steatosis increased the mortality risk (HR 1.365; 95%CI 1.147-1.623, p < 0.001). The similar results were found in individuals living with diabetes with metabolic dysfunction-associated fatty liver disease (MAFLD) (HR 1.499; 95%CI 1.065-2.110, p = 0.020), metabolic syndrome (MetS) (HR 1.397; 95%CI 1.086-1.796, p = 0.009) or abdominal obesity (HR 1.370; 95%CI 1.077-1.742, p = 0.010). CONCLUSIONS: Liver fibrosis, as estimated by FIB-4, may serve as a more reliable prognostic indicator for individuals living with diabetes than hepatic steatosis. Individuals living with diabetes with FIB-4 ≥ 1.3 without moderate-severe steatosis had a significantly increased all-cause mortality risk. These findings highlight the importance of identifying and monitoring those individuals, as they may benefit from further evaluation and risk stratification.

DPP-4 inhibition by linagliptin ameliorates age-related mild cognitive impairment by regulating microglia polarization in mice.

Extensive preclinical evidence demonstrates a causative link between insulin signaling dysfunction and the pathogenesis of Alzheimer's disease (AD), and diabetic drugs may represent a promising approach to fighting AD. However, it remains to be determined which antidiabetic drugs are more effective in preventing cognitive impairment. Thus, the present study investigated the effect of dipeptidyl peptidase-4 (DPP-4) inhibitor linagliptin on cognitive impairment in middle-aged mice by comparing it with the effect of metformin. We found that DPP-4 activity increased in the hippocampus of middle-aged mice, and DPP-4 was mainly expressed by microglia rather than astrocytes and oligodendrocytes. DPP-4 directly regulated M1/M2 microglia polarization following LPS or IL-4 stimulation, while DPP-4 inhibitor, linagliptin, suppressed M1-polarized activation and induced M2-polarized activation. Both linagliptin and metformin enhanced cognitive ability, increased hippocampal synaptic plasticity and neurogenesis, and decreased age-related oxidative stress and inflammation by regulating microglia polarization in the hippocampus of middle-aged mice. The combination of linagliptin and metformin showed a maximum protective effect compared to the individual drugs alone. Loss of macrophage inflammatory protein-1α (MIP-1α), a DPP-4 substrate, abrogated the cognitive protection and anti-inflammation effects of linagliptin. Therefore, the current investigation exhibits a potential utility for DPP-4 inhibition in attenuating microglia-mediated inflammation and preventing mild cognitive impairment (MCI) in middle-aged mice, and the effect was partly mediated by MIP-1α.

Different minimal alcohol consumption in male and female individuals with metabolic dysfunction-associated fatty liver disease.

BACKGROUND AND AIMS: The relationship between moderate alcohol intake and health outcomes among individuals with metabolic dysfunction-associated fatty liver disease (MAFLD) is complex. Our aim was to investigate the association of minimal alcohol consumption with all-cause and cause-specific mortality among MAFLD individuals of different genders. METHODS: Our study included 2630 MAFLD individuals from the Third National Health and Nutrition Examination Survey. Cox regression analysis was performed to assess the association between alcohol use measures and all-cause and cause-specific mortality. Restricted cubic spline curves were used to evaluate the relationship between alcohol consumption per week and all-cause mortality. RESULTS: In the entire MAFLD cohort, we observed significant disparities in clinical characteristics between male and female individuals with MAFLD. Higher weekly alcohol consumption was significantly associated with all-cause and cause-specific mortality (male, hazard ratios [HRs]: 1.009, 95% CIs: 1.004-1.014; female, HRs: 1.032, 95% CIs: 1.022-1.042). In males with MAFLD, a linear association with all-cause mortality was observed for weekly alcohol consumption (p for non-linearity = .21). Conversely, in females with MAFLD, the risk of all-cause mortality remained relatively stable until 2 drinks per week, after which it rapidly increased with each additional drink consumed, and the increase in mortality risk was higher than that observed in males (p for non-linearity < .05). CONCLUSIONS: Our findings indicate that any increase in weekly alcohol consumption was associated with increased all-cause mortality in men with MAFLD. Conversely, consuming less than 2 drinks per week had minimal impact on the risk of mortality among female.

Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study.

Background: With increasingly prevalent coexistence of chronic hepatitis B (CHB) and hepatic steatosis (HS), simple, non-invasive diagnostic methods to accurately assess the severity of hepatic inflammation are needed. We aimed to build a machine learning (ML) based model to detect hepatic inflammation in patients with CHB and concurrent HS. Methods: We conducted a multicenter, retrospective cohort study in China. Treatment-naive CHB patients with biopsy-proven HS between April 2004 and September 2022 were included. The optimal features for model development were selected by SHapley Additive explanations, and an ML algorithm with the best accuracy to diagnose moderate to severe hepatic inflammation (Scheuer's system ≥ G3) was determined and assessed by decision curve analysis (DCA) and calibration curve. This study is registered with ClinicalTrials.gov (NCT05766449). Findings: From a pool of 1,787 treatment-naive patients with CHB and HS across eleven hospitals, 689 patients from nine of these hospitals were chosen for the development of the diagnostic model. The remaining two hospitals contributed to two independent external validation cohorts, comprising 509 patients in validation cohort 1 and 589 in validation cohort 2. Eleven features regarding inflammation, hepatic and metabolic functions were identified. The gradient boosting classifier (GBC) model showed the best performance in predicting moderate to severe hepatic inflammation, with an area under the receiver operating characteristic curve (AUROC) of 0.86 (95% CI 0.83-0.88) in the training cohort, and 0.89 (95% CI 0.86-0.92), 0.76 (95% CI 0.73-0.80) in the first and second external validation cohorts, respectively. A publicly accessible web tool was generated for the model. Interpretation: Using simple parameters, the GBC model predicted hepatic inflammation in CHB patients with concurrent HS. It holds promise for guiding clinical management and improving patient outcomes. Funding: This research was supported by the National Natural Science Foundation of China (No. 82170609, 81970545), Natural Science Foundation of Shandong Province (Major Project) (No. ZR2020KH006), Natural Science Foundation of Jiangsu Province (No.BK20231118), Tianjin Key Medical Discipline (Specialty), Construction Project, TJYXZDXK-059B, Tianjin Health Science and Technology Project key discipline special, TJWJ2022XK034, and Research project of Chinese traditional medicine and Chinese traditional medicine combined with Western medicine of Tianjin municipal health and Family Planning Commission (2021022).

Fine mapping identifies independent HLA associations in autoimmune hepatitis type 1.

Background & Aims: Association studies have greatly refined the important role of the major histocompatibility complex (MHC) region in autoimmune hepatitis (AIH). However, the effects of human leucocyte antigen (HLA) polymorphisms on AIH are not well established. The aim of this study is to systematically characterise the association of MHC variants with AIH in our well-defined cohort of patients. Methods: We performed an imputation-based analysis on the extensive association observed within the MHC region using the Han-MHC reference panel, and tested the comprehensive associations of HLA polymorphisms with AIH in 1622 Chinese AIH type 1 patients and 10,466 population controls. Results: A total of 588 HLA variants were significantly associated with AIH, with HLA-B∗35:01 (p = 8.17 × 10-304; odds ratio [OR] = 7.32) contributing the strongest signal. Stepwise conditional analysis revealed additional independent signals at HLA-B∗08:01 (p = 1.35 × 10-33; OR = 4.26) and rs7765379 (p = 5.08 × 10-18; OR = 1.66). A strong link between the lead HLA variant and clinical phenotypes of AIH was observed: patients with HLA-B∗35:01 were less frequently positive for ANA and tended to have higher serum AST and ALT levels at diagnosis, but lower serum IgG levels. Conclusions: Our study reveals three novel and independent variants at HLA-B∗35:01, HLA-B∗08:01, and rs7765379 associated with AIH across the whole MHC region in the Han Chinese population. The findings illustrate the value of the MHC region in AIH and provide a new perspective for the immunogenetics of AIH. Impact and implications: This study revealed three novel and independent variants associated with autoimmune hepatitis across the whole major histocompatibility complex region in the Han Chinese population. These findings are significant in identifying autoantigens, providing insights into the activation of the autoimmune processes, and further advancing our understanding of the immunogenetic basis underlying autoimmune hepatitis.

Study on the mechanism of vitamin E alleviating non-alcoholic fatty liver function based on non-targeted metabolomics analysis in rats.

Non-alcoholic fatty liver disease (NAFLD) is a hepatic manifestation of metabolic syndrome. Vitamin E (VE) has antioxidant properties and can mediate lipid metabolism. Non-targeted metabolomics technology was employed to uncover comprehensively the metabolome of VE in NAFLD rats. NAFLD model was created with a high-fat and high-cholesterol diet (HFD) in rats. NAFLD rats in the VE group were given 75 mg/(kg day) VE. The metabolites in the serum of rats were identified via UPLC and Q-TOF/MS analysis. KEGG was applied for the pathway enrichment. VE improved the liver function, lipid metabolism, and oxidative stress in NAFLD rats induced by HFD. Based on the metabolite profile data, 132 differential metabolites were identified between VE group and the HFD group, mainly including pyridoxamine, betaine, and bretylium. According to the KEGG results, biosynthesis of cofactors was a key metabolic pathway of VE in NAFLD rats. VE can alleviate NAFLD induced by HFD, and the underlying mechanism is associated with the biosynthesis of cofactors, mainly including pyridoxine and betaine.

Alcohol Intake Thresholds Among Individuals With Steatotic Liver Disease.

This cohort study aims to elucidate the dose-dependent association of alcohol use with progression of steatotic liver disease using a noninvasive, low-cost method.

Biliary sepsis complication with congenital hepatic fibrosis: an unexpected outcome.

BACKGROUND: CHF (Congenital hepatic fibrosis) is a rare hereditary disease characterized by periportal fibrosis and ductal plate malformation. Little is known about the clinical presentations and outcome in CHF patients with an extraordinary complication with biliary sepsis. Our case described a 23-year-old female diagnosed as CHF combined with biliary sepsis. Her blood culture was positive for KP (Klebsiella pneumoniae), and with a high level of CA19-9 (> 1200.00 U/ml, ref: <37.00 U/ml). Meanwhile, her imaging examinations showed intrahepatic bile duct dilatation, portal hypertension, splenomegaly, and renal cysts. Liver pathology revealed periportal fibrosis and irregularly shaped proliferating bile ducts. Whole-exome sequencing identified two heterozygous missense variants c.3860T > G (p. V1287G) and c.9059T > C (p. L3020P) in PKHD1 gene. After biliary sepsis relieved, her liver function test was normal, and imaging examination results showed no significant difference with the results harvested during her biliary sepsis occurred. CONCLUSION: The diagnosis of CHF complicated with biliary sepsis in the patient was made. Severely biliary sepsis due to KP infection may not inevitably aggravate congential liver abnormality in young patients. Our case provides a good reference for timely treatment of CHF patients with biliary sepsis.

Alleviated symptoms of SARS-CoV-2 Omicron variant infection in chronic hepatitis B patients with immune control.

The impact of hepatitis B virus (HBV) infection on the progression of coronavirus disease 2019 (COVID-19) disease remains controversial. We aimed to investigate whether pre-existing chronic HBV (CHB) infection and therapy with anti-HBV nucleos(t)ide analogs (NAs) influence the clinical presentation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection. In this study, clinical information was collected via a questionnaire from patients with COVID-19, and their clinical symptoms were quantitatively assessed for comparative analyses. Additionally, hepatitis B-related laboratory data were collected for CHB patients. Propensity score matching (PSM) was used to minimize confounding biases. A total of 785 patients with COVID-19 were included in the cohort, of which 387 were identified as being infected with CHB infection and they were categorized as being in the immune control or clearance phase. After PSM, the CHB group (n = 222) had a shorter duration of fever and disease course, milder clinical symptoms, and lower incidence of pneumonia than the non-CHB group (n = 222) after Omicron variant infection (p < 0.05). After the adjustment of confounding factors, CHB patients showed a lower risk of prolonged fever, severe clinical symptoms, and pneumonia (p < 0.05). However, there were no statistically significant differences in the clinical symptoms and incidence of pneumonia between CHB patients who received and did not receive NAs, or CHB patients who received tenofovir disoproxil fumarate and entecavir (p > 0.05). In conclusion, our findings suggest that the crosstalk of anti-HBV immunity may contribute to the alleviated symptoms of SARS-CoV-2 Omicron variants infection in the CHB patients, independent of anti-HBV NA therapy.

Clinical impact of hepatic steatosis on chronic hepatitis B patients in Asia: A systematic review and meta-analysis.

Chronic hepatitis B (CHB) and hepatic steatosis (HS) are two prevalent chronic liver diseases in Asia. The incidence of CHB combined with HS is increasing due to the rising obesity rates. However, the impact of HS on CHB remains a topic of debate. Hereby, this meta-analysis aims to examine the effect of HS on Asian patients with CHB. Searches were conducted on four databases to identify articles published from 2005 to 2023. The random-effects or fixed-effects model was used to calculate pooled odds ratios (ORs), weighted mean difference (WMD), and confidence intervals (CIs) for the included articles. Of the 15,959 records screened, 88 studies were included in the analysis of HS prevalence in Asian CHB patients with a prevalence of 36.5% (95% CI: 33.7%-39.3%). In addition, age, sex, body mass index (BMI), waist circumference (WC), alanine aminotransferase (ALT) and combined metabolic diseases have varying degrees of impact on HS in CHB patients. Furthermore, the coexistence of HS was negatively associated with the response to antiviral therapy, including hepatitis B surface antigen (HBeAg) seroconversion (OR = 0.69, 95% CI: 0.53-0.89) and ALT normalization (OR = 0.75, 95% CI: 0.61-0.92) in CHB patients after 48 weeks of treatment. Regarding disease prognosis, HS was not significantly associated with fibrosis or cirrhosis in CHB patients, while an inverse association was observed between HS and hepatocellular carcinoma (HCC) (OR = 2.93, 95% CI: 1.23-6.99). This implies that the coexistence of HS in CHB patients may exacerbate the progression of HCC, which needs to be verified by further studies.

LEARN algorithm: a novel option for predicting non-alcoholic steatohepatitis.

Background: There is an unmet need for accurate non-invasive methods to diagnose non-alcoholic steatohepatitis (NASH). Since impedance-based measurements of body composition are simple, repeatable and have a strong association with non-alcoholic fatty liver disease (NAFLD) severity, we aimed to develop a novel and fully automatic machine learning algorithm, consisting of a deep neural network based on impedance-based measurements of body composition to identify NASH [the bioeLectrical impEdance Analysis foR Nash (LEARN) algorithm]. Methods: A total of 1,259 consecutive subjects with suspected NAFLD were screened from six medical centers across China, of which 766 patients with biopsy-proven NAFLD were included in final analysis. These patients were randomly subdivided into the training and validation groups, in a ratio of 4:1. The LEARN algorithm was developed in the training group to identify NASH, and subsequently, tested in the validation group. Results: The LEARN algorithm utilizing impedance-based measurements of body composition along with age, sex, pre-existing hypertension and diabetes, was able to predict the likelihood of having NASH. This algorithm showed good discriminatory ability for identifying NASH in both the training and validation groups [area under the receiver operating characteristics (AUROC): 0.81, 95% CI: 0.77-0.84 and AUROC: 0.80, 95% CI: 0.73-0.87, respectively]. This algorithm also performed better than serum cytokeratin-18 neoepitope M30 (CK-18 M30) level or other non-invasive NASH scores (including HAIR, ION, NICE) for identifying NASH (P value <0.001). Additionally, the LEARN algorithm performed well in identifying NASH in different patient subgroups, as well as in subjects with partial missing body composition data. Conclusions: The LEARN algorithm, utilizing simple easily obtained measures, provides a fully automated, simple, non-invasive method for identifying NASH.

Association of nonalcoholic fatty liver disease and growth hormone deficiency: a systematic review and meta-analysis.

An association exists between nonalcoholic fatty liver disease (NAFLD) and growth hormone (GH). Patients with growth hormone deficiency (GHD) may be more susceptible to NAFLD. The prevalence of NAFLD and nonalcoholic steatohepatitis (NASH) in GHD patients is currently unknown. Multiple databases were searched for experiments related to NAFLD (or NASH) and GHD. Screening, quality evaluation and data extraction were carried out independently by two authors. Analyses used random or fixed effects models, including NAFLD prevalence, NASH prevalence, odds ratio (OR) and 95% confidence interval (CI). We included 10 studies with a total of 782 participants. The results showed that the prevalence of NAFLD in GHD patients was 51% (95% CI: 39-63). The risk of NAFLD in GHD patients was significantly higher than that in controls (age-, sex- or body mass index-matched, without GHD) (pooled OR = 4.27, 95% CI: 1.33-13.68%, p = 0.015). The prevalence of NASH in GHD patients was 18% (95% CI: 5-31). The prevalence of NAFLD in GHD patients is significantly higher than that in the general population, especially NASH. There is a need to develop targeted strategies for the early identification, prevention, or control of NAFLD/NASH in patients with GHD.