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Summary This study aim to assess changes in obesity and activity patterns among youths in China during the COVID‐19 lockdown. We used the COVID‐19 Impact on lifestyle change survey (COINLICS), a national retrospective survey distributed via social media platforms in early May 2020 where more than 10 000 youth participants in China have voluntarily reported their basic sociodemographic information, weight status, and routine lifestyles in the months before and during COVID‐19 lockdown. The extended IOTF and WHO standards were used to define overweight and obesity of the participants. We used paired t‐tests or χ2 tests and non‐parametric methods to evaluate the significance of differences in weight‐related outcomes and lifestyles across education levels, between sexes, and before and during COVID‐19 lockdown. The mean body mass index of all participating youths has significantly increased (21.8‐22.6) and in all education subgroups during COVID‐19 lockdown. Increases also occurred in the prevalence of overweight/obesity (21.3%‐25.1%, P < .001) and obesity (10.5% to 12.9%, P < .001) in overall youths, especially in high school and undergraduate students. Their activity patterns had also significantly changed, including the decreased frequency of engaging in active transport, moderate−/vigorous‐intensity housework, leisure‐time moderate−/vigorous‐intensity physical activity, and leisure‐time walking, and the increased sedentary, sleeping, and screen time. Our findings would inform policy‐makers and clinical practitioners of these changes in time, for better policy making and clinical practice. School administrators should also be informed of these changes, so in‐class and/or extracurricular physical activity programs could be designed to counteract them.

Ovarian cancer is the leading cause of death in gynecologic malignancies. Profiling of endogenous metabolites has potential to identify changes caused by cancer and provide inspiring insights into cancer metabolism. To systematically investigate ovarian cancer metabolism, we performed metabolic profiling of 448 plasma samples related to epithelial ovarian cancer (EOC) based on ultra-performance liquid chromatography mass spectrometry in both positive and negative modes. These unbiased metabolomic profiles could well distinguish EOC from benign ovarian tumor (BOT) and uterine fibroid (UF). Fifty-three metabolites were identified as specific biomarkers for EOC, and this is the first report of piperine, 3-indolepropionic acid, 5-hydroxyindoleacetaldehyde and hydroxyphenyllactate as metabolic biomarkers of EOC. The AUC values of these metabolites for discriminating EOC from BOT/UF and early-stage EOC from BOT/UF were 0.9100/0.9428 and 0.8385/0.8624, respectively. Meanwhile, our metabolites were able to distinguish early-stage EOC from late-stage EOC with an AUC of 0.8801. Importantly, analysis of dysregulated metabolic pathways extends our current understanding of EOC metabolism. Metabolic pathways in EOC patients are mainly characterized by abnormal phospholipid metabolism, altered L-tryptophan catabolism, aggressive fatty acid b-oxidation and aberrant metabolism of piperidine derivatives. Together, these metabolic pathways provide a foundation to support cancer development and progression. In conclusion, our large-scale plasma metabolomics study yielded fundamental insights into dysregulated metabolism in ovarian cancer, which could facilitate clinical diagnosis, therapy, prognosis and shed new lights on ovarian cancer pathogenesis.Epithelial ovarian cancer (EOC) remains one of the most common gynecologic malignancies, and has an alarming global fatality rate. Worldwide, about 204,000 new cases of ovarian cancer are diagnosed and 125,000 women succumb to ovarian cancer each year.1 The majority of patients tend to present with advanced disease, with 5-year survival rates below 20%. 2 The 5-year survival rate for localized ovarian cancer is greater than 90%, but only 15% of all patients are diagnosed when the disease is still localized.3 These unfavorable statistics highlight a lack of effective detection methods and essentially a poor understanding of the molecular pathogenesis of ovarian cancer. Altered metabolism is well-established as a hallmark of tumors, and could be used to distinguish cancer patients from their counterparts and potentially clarify disease pathogenesis. 4 Many studies have shown increased rates of glycolysis, glutaminolysis and lipid synthesis in cancers, suggesting that metabolic alterations provide a foundation to fuel tumor

HighlightsEpidemiologic evidence on the potential role of ambient air pollution in MAFLD is limited.This study found significant positive associations between air pollution and the odds of MAFLD.Unhealthy lifestyle habits and the presence of central obesity may exacerbate the harmful effects.This large-scale human study provides robust results and calls for more prospective studies.

Human health is adversely affected by ozone and the volatile organic compounds (VOCs) produced from its reactions in the indoor environment. Hence, it is important to characterize the ozone-initiated reactive chemistry under indoor conditions and study the influence of different factors on these reactions. This investigation studied the ozone reactions with clothing through a series of experiments conducted in an environmental chamber under various conditions. The study found that the ozone reactions with a soiled (human-worn) T-shirt consumed ozone and generated VOCs. The ozone removal rate and deposition velocity for the T-shirt increased with the increasing soiling level and air change rate, decreased at high ozone concentrations, and were relatively unaffected by the humidity. The deposition velocity for the soiled T-shirt ranged from 0.15 to 0.29 cm/s. The ozone-initiated VOC emissions included C6-C10 straight-chain saturated aldehydes, acetone, and 4-OPA (4-oxopentanal). The VOC emissions were generally higher at higher ozone, humidity, soiling of T-shirt, and air change rate. The total molar yield was approximately 0.5 in most cases, which means that for every two moles of ozone removed by the T-shirt surface, one mole of VOCs was produced.

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Activities such as household cleaning can greatly alter the composition of air in indoor environments. We continuously monitored hydrogen peroxide (H2O2) from household non-bleach surface cleaning in a chamber designed to simulate a residential room. Mixing ratios of up to 610 ppbv gaseous H2O2 were observed following cleaning, orders of magnitude higher than background levels (sub-ppbv). Gaseous H2O2 levels decreased rapidly and irreversibly, with removal rate constants (k H2O2 ) 17–73 times larger than air change rate (ACR). Increasing the surface-area-to-volume ratio within the room caused peak H2O2 mixing ratios to decrease and k H2O2 to increase, suggesting that surface uptake dominated H2O2 loss. Volatile organic compound (VOC) levels increased rapidly after cleaning and then decreased with removal rate constants 1.2–7.2 times larger than ACR, indicating loss due to surface partitioning and/or chemical reactions. We predicted photochemical radical production rates and steady-state concentrations in the simulated room using a detailed chemical model for indoor air (the INDCM). Model results suggest that, following cleaning, H2O2 photolysis increased OH concentrations by 10–40% to 9.7 × 105 molec cm–3 and hydroperoxy radical (HO2) concentrations by 50–70% to 2.3 × 107 molec cm–3 depending on the cleaning method and lighting conditions.

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