The scientific understanding of adipose tissue has advanced tremendously during the past decade. Once thought to be an inert fat storage organ, we now know that adipose tissue serves important functions in energy balance and endocrinology, as well as playing a central role in the development of metabolic diseases. Adipose tissue lipid storage and lipolysis are tightly controlled by hormones, such as insulin, in response to the body’s energy needs. Adipose insulin sensitivity can be measured in vivo in humans using isotopic fatty acid tracers and the insulin clamp technique. These data allow investigators to calculate the plasma insulin concentration that results in a 50% suppression of lipolysis. In obesity, insulin’s action on adipose tissue lipolysis is clearly impaired, resulting in excess free fatty acids in circulation, which can lead to metabolic dysfunction. However, the cause of this impairment is unclear. The chronic, low-grade adipose tissue inflammation seen in obesity was thought to be the cause of adipose tissue insulin resistance. In this review, we discuss the structure of adipose tissue, how normal and abnormal adipose tissue metabolism contributes to metabolic diseases, and how inflammation might or might not play a role in adipose tissue insulin resistance.

The scientific understanding of adipose tissue has advanced tremendously during the past decade. Once thought to be an inert fat storage organ, we now know that adipose tissue serves important functions in energy balance and endocrinology, as well as playing a central role in the development of metabolic diseases. Adipose tissue lipid storage and lipolysis are tightly controlled by hormones, such as insulin, in response to the body’s energy needs. Adipose insulin sensitivity can be measured in vivo in humans using isotopic fatty acid tracers and the insulin clamp technique. These data allow investigators to calculate the plasma insulin concentration that results in a 50% suppression of lipolysis. In obesity, insulin’s action on adipose tissue lipolysis is clearly impaired, resulting in excess free fatty acids in circulation, which can lead to metabolic dysfunction. However, the cause of this impairment is unclear. The chronic, low-grade adipose tissue inflammation seen in obesity was thought to be the cause of adipose tissue insulin resistance. In this review, we discuss the structure of adipose tissue, how normal and abnormal adipose tissue metabolism contributes to metabolic diseases, and how inflammation might or might not play a role in adipose tissue insulin resistance.

The scientific understanding of adipose tissue has advanced tremendously during the past decade. Once thought to be an inert fat storage organ, we now know that adipose tissue serves important functions in energy balance and endocrinology, as well as playing a central role in the development of metabolic diseases. Adipose tissue lipid storage and lipolysis are tightly controlled by hormones, such as insulin, in response to the body’s energy needs. Adipose insulin sensitivity can be measured in vivo in humans using isotopic fatty acid tracers and the insulin clamp technique. These data allow investigators to calculate the plasma insulin concentration that results in a 50% suppression of lipolysis. In obesity, insulin’s action on adipose tissue lipolysis is clearly impaired, resulting in excess free fatty acids in circulation, which can lead to metabolic dysfunction. However, the cause of this impairment is unclear. The chronic, low-grade adipose tissue inflammation seen in obesity was thought to be the cause of adipose tissue insulin resistance. In this review, we discuss the structure of adipose tissue, how normal and abnormal adipose tissue metabolism contributes to metabolic diseases, and how inflammation might or might not play a role in adipose tissue insulin resistance.

The traditional commodity specifications of Chinese medicinal materials are mainly divided into different grades based on macroscopic characteristics. As the basis for high quality and good price, there is still a lack of systematic evaluation on whether they are consistent with the current standards and whether they can reflect the internal quality of medicinal material. Panax notoginseng is a commonly used, large consumption of Chinese medicinal material. At present, it is divided into 8 grades in the market based on "Tou" (the number of crude drug /500 g), but it is not related to the standard of total saponins of Panax notoginseng (the sum of three saponins) in Chinese Pharmacopoeia. In this study, ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) coupled with mass spectrometry molecular network were used for the rapid identification of saponins of Panax notoginseng with different "Tou" and a total of 64 saponins were identified. Seventeen saponins related to "Tou" were screened by orthogonal partial least squares discriminant analysis (OPLS-DA). The content of five saponins R₁, Rb₁, Rg₁, Rd, and Re in Panax notoginseng with different "Tou" was determined by high performance liquid chromatography (HPLC). The results of correlation analysis showed that Rd and R₁ with the largest VIP values among the differential saponins, which significantly negatively correlated with "Tou" (P < 0.05). Based on the determination results of 36 batches of samples, using Rd/Total Panax notoginseng saponins (TPNS) ratio ( > 0.08) as the index, Panax notoginseng can be divided into two grades: 20-60 "Tou" (superior) and 80-200 "Tou" (qualified). Based on the concept of "macroscopic characteristics and chemical profiling", this study integrates the non-targeted analysis and quantitative determination methods to provide a new strategy for quality evaluation of Panax notoginseng.

Bile acids (BAs) are a group of endogenous steroid molecules that regulate lipid, glucose and energy metabolism. They play an important role in maintaining body homeostasis and physiological functions as key signaling molecules for host and gut microbial metabolism. The accurate characterization and quantification of BAs in vivo is of great importance in basic and clinical research. Over the past decades, enzymatic assay, enzyme-linked immunoassay, nuclear magnetic resonance (NMR), chromatography, and other related techniques have been developed and applied to the detection of BAs. The diverse structures of BAs, the existence of isomers and the complex matrix of biological samples pose great challenges for the detection of endogenous BAs. Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) is a robust analytical technique that combines the rapid separation capacities of UPLC with the powerful structural identification capabilities of MS/MS, facilitating the more rapid separation, characterization and accurate quantitative of target analytes in biological samples. UPLC-MS/MS has been widely used in the quantitative analysis of BAs in recent years for its high selectivity, high sensitivity, and high accuracy. This paper summarized the biosynthetic pathways of BAs, sample pretreatment methods, common analytical detection techniques, and highlights the current status of the application of UPLC-MS/MS technology in the analysis of endogenous BAs over the past five years, to provide a reference for the accurate detection of endogenous BAs and further research development and application.

Objective     To evaluate the clinical radiological features combined with circulating tumor cells (CTCs) in the diagnosis of invasiveness evaluation of subsolid nodules in lung cancers. Methods     Clinical data of 296 patients from the First Hospital of Lanzhou University between February 2019 and February 2021 were retrospectively included. There were 130 males and 166 females with a median age of 62.00 years. Patients were randomly divided into a training set and an internal validation set with a ratio of 3 : 1 by random number table method. The patients were divided into two groups: a preinvasive lesion group (atypical adenomatoid hyperplasia and adenocarcinoma in situ) and an invasive lesion group (microinvasive adenocarcinoma and invasive adenocarcinoma). Independent risk factors were selected by regression analysis of training set and a Nomogram prediction model was constructed. The accuracy and consistency of the model were verified by the receiver operating characteristic curve and calibration curve respectively. Subgroup analysis was conducted on nodules with different diameters to further verify the performance of the model. Specific performance metrics, including sensitivity, specificity, positive predictive value, negative predictive value and accuracy at the threshold were calculated. Results     Independent risk factors selected by regression analysis for subsolid nodules were age, CTCs level, nodular nature, lobulation and spiculation. The Nomogram prediction mode provided an area under the curve (AUC) of 0.914 (0.872, 0.956), outperforming clinical radiological features model AUC [0.856 (0.794, 0.917), P=0.003] and CTCs AUC [0.750 (0.675, 0.825), P=0.001] in training set. C-index was 0.914, 0.894 and corrected C-index was 0.902, 0.843 in training set and internal validation set, respectively. The AUC of the prediction model in training set was 0.902 (0.848, 0.955), 0.913 (0.860, 0.966) and 0.873 (0.730, 1.000) for nodule diameter of 5-20 mm, 10-20 mm and 21-30 mm, respectively. Conclusion     The prediction model in this study has better diagnostic value, and is more effective in clinical diagnosis of diseases.

Sophorae Flavescentis Radix is the dried root of Sophora flavescens Ait. and Sophorae Tonkinensis Radix et Rhizoma is the dried root and rhizome of Sophora tonkinensis Gagnep. The two drugs are both from the same genus Sophora, having similar and different compositions and efficacies, however, their differences are not fully demonstrated in current standard. In this study, the high-performance thin-layer chromatography with multi-dimensional and multi-level features combined with electric spray mass spectrometry (HPTLC-ESI-MS) was used to discover and identify the characteristic zones in extracts of Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma, after optimizing the preparation method of the test solution and chromatographic parameters. As a result, 17 main characteristic zones were found on HPTLC chromatograms of Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma, among them, besides 3 known chemicals, another 12 unknown components were identified by HPTLC-ESI-MS, they are 1 alkaloid and 11 flavonoids. The identification results were verified by the reference standards partially and nuclear magnetic resonance spectra after guided-isolation. Finally, a unified HPTLC specific identification method with different markers was established to identify Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma simultaneously. Thanks to abundant chemical information provided when using diverse polarity mobile phases and derivatization reagents, the HPTLC technology offers a convenient strategy for discovery, quality evaluation, and identification of target chemicals when connecting with mass spectrometry.

OBJECTIVE: To examine the impact of COVID-19 pandemic on the epidemic status of imported malaria and national malaria control program in China, so as to provide insights into post-elimination malaria surveillance. METHODS: All data pertaining to imported malaria cases were collected from Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region during the period from January 1, 2018 through December 31, 2021. The number of malaria cases, species of malaria parasites, country where malaria parasite were infected, diagnosis and treatment after returning to China, and response were compared before (from January 1, 2018 to January 22, 2020) and after the COVID-19 pandemic (from January 23, 2020 to December 31, 2021). RESULTS: A total of 2 054 imported malaria cases were reported in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region during the period from January 1, 2018 to December 31, 2021, and there were 1 722 cases and 332 cases reported before and after the COVID-19 pandemic, respectively. All cases were reported within one day after definitive diagnosis. The annual mean number of reported malaria cases reduced by 79.30% in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region after the COVID-19 pandemic (171 cases) than before the pandemic (826 cases), and the number of monthly reported malaria cases significantly reduced in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region since February 2020. There was a significant difference in the constituent ratio of species of malaria parasites among the imported malaria cases in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region before and after the COVID-19 pandemic (χ² = 146.70, P < 0.05), and P. falciparum malaria was predominant before the COVID-19 pandemic (72.30%), while P. ovale malaria (44.28%) was predominant after the COVID-19 pandemic, followed by P. falciparum malaria (37.65%). There was a significant difference in the constituent ratio of country where malaria parasites were infected among imported malaria cases in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region before and after the COVID-19 pandemic (χ² = 13.83, P < 0.05), and the proportion of malaria cases that acquired Plasmodium infections in western Africa reduced after the COVID-19 pandemic that before the pandemic (44.13% vs. 37.95%; χ² = 4.34, P < 0.05), while the proportion of malaria cases that acquired Plasmodium infections in eastern Africa increased after the COVID-19 pandemic that before the pandemic (9.58% vs. 15.36%; χ² = 9.88, P = 0.02). The proportion of completing case investigation within 3 days was significantly lower after the COVID-19 pandemic than before the pandemic (96.69% vs. 98.32%; χ²= 3.87, P < 0.05), while the proportion of finishing foci investigation and response within 7 days was significantly higher after the COVID-19 pandemic than before the pandemic (100.00% vs. 98.43%; χ² = 3.95, P < 0.05). CONCLUSIONS The number of imported malaria cases remarkably reduced in Anhui Province, Hubei Province, Henan Province, Zhejiang Province and Guangxi Zhuang Autonomous Region of China during the COVID-19 pandemic, with a decreased proportion of completing case investigations within 3 days. The sensitivity of the malaria surveillance-response system requires to be improved to prevent the risk of secondary transmission of malaria due to the sharp increase in the number of imported malaria cases following the change of the COVID-19 containment policy.
Humans ; Pandemics ; China/epidemiology* ; Incidence ; COVID-19/epidemiology* ; Malaria/prevention & control* ; Malaria, Falciparum/epidemiology*

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China