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Nov 17

Super Fitness Weight Loss Challenge contestants face their first challenge of the season – WTOL

Super Fitness Weight Loss Challenge contestants face their first challenge of the season  WTOL

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Super Fitness Weight Loss Challenge contestants face their first challenge of the season - WTOL

Oct 4

Fiture announces more affordable Mini smart fitness mirror – Connect the Watts

Fiture has announced the release of the new Fiture Mini, which as the name suggests, is a smaller and more affordable version of its smart mirror. Included with this announcement is that both the original mirror (now named Core) and Mini will be available on Amazon starting this month.

We reviewed the Fiture Core earlier this year and found it to be a strong contender to the Mirror by Lululemon. While similar in some ways, what makes Fiture more unique is rep tracking and form feedback that is provided via what they call their Motion Engine.

Maggie Lu, CEO of Fiture, wrote:

Fiture is leading the charge on making fitness more fun. Many people have started a fitnessjourney in the past couple of years but found it hard to sustain. We think fitness should be funand natural-focus more on how it makes you feel rather than numbers and calories

At Fiture, we believe that the magic happens when the hardwareand content come together to deliver the experience. With the launch of Mini, we hope to bringthis experience to more families.

While Fiture is not available on Amazon just yet, it should be soon. In the meantime, you can learn more about the Fiture Core and Fiture Mini on their website here.

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Fiture announces more affordable Mini smart fitness mirror - Connect the Watts

Oct 4

24 Hour Fitness and Headspace Health Launch Partnership on World Mental Health Day – PR Newswire

Club Members Offered Complimentary Headspace Subscription to Encourage Mental Health And A More Holistic Approach To Wellness

CARLSBAD, Calif., Oct. 3, 2022 /PRNewswire/ -- Fitness industry leader 24 Hour Fitness has teamed up with Headspace Health, the provider of the world's most accessible and comprehensive digital mental health platform,in a partnership to offer complimentary three-month Headspace subscriptions to new and existing 24 Hour Fitness club members on a first come first serve basis, while supplies last. Headspace offers a range of tools to help people stress less, sleep better, get moving, and to find more focus and joy. The partnership launches its complimentary offer on Monday, October 10, World Mental Health Day, and is an important part of 24 Hour Fitness's holistic strategy to offer dynamic fitness and wellness experiences to club members. For more information, visit

"Our partnership provides support of full mind and body health for our members," said Karl Sanft, CEO, 24 Hour Fitness.

"I've always been proud of our company's mission to create a healthier, happier world," said Karl Sanft, President and CEO, 24 Hour Fitness. "Now more than ever, this mission extends beyond physical fitness to include the importance of mental health and well-being. That's why our partnership with Headspace Health is so timely. The science-based mindfulness and meditation app will offer a new level of wellbeing to both our team members and club members -- because we want everyone to develop a healthy mind and bodythe best combination to tackle whatever your day brings."

Why Headspace?

It's all about the synergy between the two brands. 24 Hour Fitness has listened to its club members and what they want from their fitness experience including a fitness space that supports both mind and body health and is a refuge to help reset their next 24 hours. 64% of the 24 Hour Fitness audience rate emotional well-being as more important now compared to 51% pre-pandemic. Additionally, members highly regard the importance of being active for life and work out to feel good (more so than losing weight), while leveraging mobile apps to keep track of their fitness habits both inside and outside of the club environment.

Headspace offers more than 1,000 hours of premium mindfulness content from guided meditations, eyes-open exercises like mindful walks and runs, breathing and wind-down exercises, focus music, sleep content and more to help people live happier lives. Headspace is a leading player in the meditation and mindfulness category that is committed to advancing the field of mindfulness and meditation through clinically-validated research. In fact, research shows that 30 days of Headspace resulted in 32% decrease in stress, and 4 weeks of Headspace improved focus by 14%-- making Headspace the perfect complement to a 24 Hour Fitness membership.

"Decades of research show that physical and mental health are deeply intertwined," said Katie DiPerna, Senior Vice President, Partnerships, Headspace Health. "With this partnership, we're thrilled to bring awareness of the power of meditation and mindfulness to the 24 Hour Fitness community, and to provide their members and employees with a new tool to improve their overall health and wellbeing."

24 Hour Fitness / Headspace Complimentary Subscriptions The Details

With the goal of helping club members develop a holistic wellness plan inside as well as outside the club 24 Hour Fitness offers complimentary Headspace subscriptions to club members (with a similar offer extended to the company's team members). Participants will receive a three-month complimentary subscription to the Headspace app and can choose short meditations to stay on track throughout the day, or longer sessions to deepen their practice. Most recently, Headspace has revealed new content collections that celebrate and empower women, provide education on stress management, and support parents and students of all ages during the back to school season. Also included are tools to help members get a good night's restsleep meditations, sleep music, wind downs and specially-designed sleepcasts.

24 Hour Fitness has built a series of partnerships that offer club members and guests a variety of fitness and wellness experiences that can help support overall health. Recently launched popular partnership programs include Nutrishop and recovery program iCRYO. The company has also entered the boutique fitness space with a new HIIT offering P.A.S.E. Factor, among other partnerships.

About 24 Hour Fitness

Celebrating nearly 40 years as an industry leader, 24 Hour Fitness helps change lives every day through fitness. Operating a network of approximately 300 clubs in 11 states, the company offers clean and spacious clubs furnished with a variety of strength, cardio and functional training equipment in a comfortable environment that conveys the feeling of community and inclusivity for more than 2 million club members. Membership options offer club amenities including functional training equipment, GX24 group exercise studio and cycle classes where members can reserve a spot for their favorite instructor-led live class within a club community that supports and inspires every member to lead a healthier, happier life.Friendly and knowledgeable fitness professionals also stand ready to deliver dynamic personal and group training programs.The company's 24GO app provides touch-free club check-in as well as a variety of on-demand workouts to support fitness at home, in the club or on the go. This diverse combination of fitness options is designed to engage and motivate every 24 Hour Fitness member to explore and enjoy a lifelong relationship with mind and body health and wellness. For further information and to find a club near you, visit

About Headspace

Headspace was created with one mission in mind: to improve the health and happiness of the world. As one of the first meditation apps on the market, Headspace remains a leader in mindfulness and mental training. For more information, please visit us at, or follow us on Facebook, Twitter, Instagram and TikTok.

Headspace Health is a leading provider of mental health and wellbeing solutions, touching the lives of over 100 million people in 190 countries. Through our flagship Headspace brand, we provide mindfulness tools for everyday life, including meditations, sleepcasts, mindful movement, and focus exercises. Our enterprise brands, Headspace for Work and Ginger, are distributed through over 3,700 enterprises, including Starbucks, Adobe, Delta Air Lines, and ViacomCBS; and through health plans such as Cigna. Our members and enterprise partners' employees have access to mindfulness and meditation tools, CBT, coaching, therapy, and psychiatry, ultimately helping them to be healthier and more productive. To learn more about Headspace Health and our family of brands, visit

SOURCE 24 Hour Fitness

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24 Hour Fitness and Headspace Health Launch Partnership on World Mental Health Day - PR Newswire

Oct 4

Planet Fitness is opening its doors to those impacted by Hurricane Ian – WFTV Orlando

, Fla. Planet Fitness is opening more than 80 locations in Florida and Georgia for anyone impacted by Hurricane Ian to use their locations free of charge.

The franchise is letting those affected by the storm use its shower facilities, fitness equipment, massage chairs, electrical outlets and more.


According to a news release, Planet Fitness is committed to helping the communities it serves, including offering showers and gym benefits to those displaced in areas of Florida and Georgia from hurricane Ian.

Planet Fitness does not offer towel service or shampoo, and guests must be older than 13 years old to use fitness equipment.

Read: Central Florida counties provide updates for trash collection after Hurricane Ian

The gym locations will be free until Oct. 9, the company said.

Read: Orlando city officials ask residents to limit water usage following sewer issues

Here is the list of locations in Central Florida:

Osceola County

St. Cloud - 4020 13th St

Flagler County

Palm Coast (Hwy 100) - 5615 State Hwy 100 E Unit 100

Palm Coast (Old Kings Commons) - 7 Old Kings Rd N, Units 20-32

Marion County

Ocala - 3233 SE Maricamp Rd, Unit 500

Ocala (SW) - 2800 SW 24th Ave

Polk County

Lakeland (North) - 6208 US Hwy 98

Lakeland (South) - 4315 S Florida Ave

Volusia County

Daytona Beach - 1423 S Nova Rd

Deland - 111 E International Speedway Blvd

Orange City - 860 Saxon Blvd

Lake County

Clermont - 2620 US Hwy 27 South

Eustis -2830 S Bay St

Leesburg - 735 N 14th St

Brevard County

Cocoa - 6221 N Hwy 1

Melbourne - 840 N Apollo Blvd

Rockledge - 1802 US Hwy 1

Satellite Beach - 1024 Highway A1A

Palm Bay - 160 Malabar Rd

Seminole County

Altamonte Springs - 280 S State Rd 434

Lake Mary - 3005 W Lake Mary Blvd

Winter Springs - 300 E Florida 434

Casselberry -204 Sausalito Blvd

Oviedo - 19 Alafaya Woods Blvd

Orange County

Apopka - 1569 W Orange Blossom Trail

Kissimmee - 3107 W Vine St

Orlando (Metro West) - 5920 Metropolis Way

Orlando (Dr Phillips) - 8956 Turkey Lake Rd, Ste 1000

Orlando (Holden) - 4526 S Orange Blossom Trail

Orlando (Metro West) - 5920 Metropolis Way

Orlando (Fashion Square) - 3203 E Colonial Dr

Read: Heres when Central Florida schools expect to reopen after Hurricane Ian

Click here to download the free WFTV news and weather apps, click here to download the WFTV Now app for your smart TV and click here to stream Channel 9 Eyewitness News live.

2022 Cox Media Group

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Planet Fitness is opening its doors to those impacted by Hurricane Ian - WFTV Orlando

Oct 4

On Ashtami, fitness queen Malaika Arora reminds us to keep the warrior within us alive – Health shots

Durga Ashtami is one of the most auspicious day during the Navratri festival and Durga Puja festivities. Maha Ashtami is commemorated with much zeal across the country. Maa Durga is known for her infinite feminine valour and resilience. This day celebrates the victory of Goddess Shakti over the demon Mahishasura. Given how Maa Durga is the perfect epitome of inner strength, On this occasion, Bollywood celebrity Malaika Arora reminded her fans of the inner warrior within each one of them.

Dropping her Monday Motivation post on Instagram, she is seen performing the warrior 3 pose. She also urged everyone to keep their fitness game on point.

Yoga is known to bring us closer to our consciousness and helps to keep us calm and centered. According to Malaika Arora, while performing the warrior 3 pose, we might feel certain intense feelings descending upon us. But we must gather all our courage to stay focused and learn our ways to let go of those unwanted emotions.

The Instagram caption of the video by Malaika Arora reads, This week were focusing on finding our center. Finding that inner balance that keeps us still, calm, and stable. If youre doing the warrior 3 poses with me, some intense feelings might rise up that youd be wanting to let go of. You may also feel challenged, but its nothing you cannot handle. Always remember the amazing warrior that you are!

Warrior 3 pose is a standing posture that has its focuses on learning to make you stand balanced, whilst strengthening your legs, ankles, and core. Alongside, it also gives strength to your shoulders and back muscles.

Step 1: start in the Warrior Pose 1 putting forth your right foot forward.Step 2: Kneel down firmly with your right heel to raise your lower belly, bringing the abdominals in and up and releasing your tailbone down.Step 3: Hold your right outer hip into your midline as make your leg straight.Step 4: Push your arms to energize them and add more length to your side body.Step 5: Move your left inner thigh towards the ceiling to turn your left outer hip forward, and move in axis onto your back toes so that your back leg ends up in a neutral position.Step 6: Stretch your spine by inhaling,Step 7: Exhale while moving your torso forward and lengthen your arms out ahead.Step 8: Transfer all your weight onto your front foot and bend forwards so that your left leg stands parallel to the floor.Step 9: Make sure that your upper arms cover your ears, and your head, torso, pelvis, and lifted left leg all form a straight line.Step 10: Continue turning your left inner thigh towards the ceiling so that your leg remains neutral and your pelvis is leveled.Step 11: Use the strength of your right outer hip to provide stability for your standing leg.Step 12: Push your left heel backward while extending towards the front with your arms, the crown of your head, and your sternum.Step 13: Make your lower belly move towards your left heel while providing support for your lower back.Step 14: Hold this posture for 5-10 breaths, kneel down with your right knee carefully, and step back with your left foot returning to warrior pose 1.Step 15: Get back to normal, and repeat the same process on the other side.

On Ashtami, fitness queen Malaika Arora reminds us to keep the warrior within us alive - Health shots

Oct 4

Questex’s Sibec to Bring the Fitness Industry Together in – GlobeNewswire

NEW YORK, Oct. 03, 2022 (GLOBE NEWSWIRE) -- Questexs Sibec Europe|UK, Europes leading one-to-one event for the fitness industry, concluded its event last week at the Anantara VilamouraAlgarve Resort, in Portugal, with over 750 one-to-one meetings between premier global suppliers and owners and operators of health and fitness facilities in Europe and the UK.

For over 20 years, it continues to be Europes leading one-to-one event and combines the unique, personalized, intimate concept with organized networking activities and events, lavish receptions, and exceptional education, this year led by unparalleled industry voices: Andreas Paulsen, CEO, Europe Active, and David Stalker, President, Europe Active and CEO, Myzone and Dr. Paul Bedford, Owner, Retention Guru.

With the expansion of the hosted buyer base into the Middle Eastern region, Sibec Europe|UK will be renamed Sibec EMEA. The event will take place 26-29 September at the Hilton Sorrento Palace in Sorrento, Italy.

While recruiting for this years event, we received incredible interest from all over the globe and we had to unfortunately turn people away due to space limitations and the Europe-focused strategy, said Marty McCallen, Managing Director, Questex Fitness Group, organizer of Sibec Europe|UK. At the request of our audience of suppliers, we will expand the event to a larger geographic region and give the entire audience the most valuable event for their business needs. We are excited to host the event next year at the beautiful Hilton Sorrento Palace.

For more information on Sibec EMEA, click here.

About SibecOrganized by Questex, Sibec events are the longest running one-to-one events for professionals in the fitness industry and reach a wide crosssection of participants from fitness and wellness products, manufacturers and distributors to club owners, directors, and managers. With a minimum of 15 one-to-one appointments, multiple networking opportunities, and education, Sibec events, presented by Club Industry, provides the perfect meeting ground for the worlds most eliteand qualified buyers of fitness equipment and supply looking to meet the top global companies.

About QuestexQuestex helps people live better and longer. Questexbrings people together in the markets that help peoplelive better:travel, hospitality,andwellness; the industries that help peoplelive longer:life scienceandhealthcare;and thetechnologiesthat enable and fuel thesenew experiences. We live intheexperience economyconnectingourecosystem throughlive events, surrounded by data insights and digital communities. We deliver experience and real results.It happens here.

Media ContactJennifer RosenGroup Marketing DirectorQuestex Wellness

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Questex's Sibec to Bring the Fitness Industry Together in - GlobeNewswire

Oct 4

Thinking About Purchasing A Fitness Tracker? Here Are Our Top 5 – Women Love Tech

Do you feel like your health and fitness hasnt been a priority lately? You certainly arent alone! According to ABS, only 27.2% of people aged 15 years and over meet the physical activity guidelines in Australia, and nearly half (49.4%) of employed people aged 18-64 years describe their day at work as mostly sitting.

With the rise in sedentary behaviour from WFH, there has never been a better time to consider purchasing a fitness tracker. Like the name suggests, these wearables can help you stay on track towards meeting your fitness goals and encourage you to live a more healthy lifestyle overall.

But with so many great products on the market, how can you be confident in choosing the right one? Here, weve rounded up our top 5 fitness trackers on the marketplace right now. Check them out below:

The Fitbit Luxe is perfect for those who want all the latest health features, without compromising on style and aesthetics.

This tracker offers a daily readiness score which reveals whether youre ready to workout or if you should prioritise recovery as well as all day activity monitoring, real-time pace and distance tracking and menstrual health tracking. Other perks include 5 day battery life, a vibrant colour display, call and text notifications, and a stylish bracelet-like watch design.

Another great tracker from Fitbit is the Charge 5. On top of the fitness features that the Luxe offers, the Charge 5 also has a blood oxygen sensor, and ECG sensor to measure heart health, and a built-in GPS tracker (so you can track outdoor workouts without having your phone nearby). The Charge 5 can also measure elevation through the altimeter, which is a feature you dont get in the Luxe.

If you are looking for extra high-tech health features, the Charge 5 may be for you. However, if you want the perfect balance of style and fitness tracking, then the Luxe might suit you better.

The Apple Watch SE has all the best health monitoring capabilities such as heart rate and sleep tracking with the bonus of nifty smartwatch features. The main advantage of the Apple Watch, is that it gives you access to a wide range of fitness apps, such as Apples Fitness Plus, Nike Training Club, Strava, and more. Using the wallet app, you can also store payment cards, boarding passes, movie tickets or rewards cards for easy access.

If you want a seamlessly integrated experience between your Apple devices, then the Apple Watch SE could be a great fit for you.

The GT3 Pro comes in a titanium (46mm) or ceramic body with a sapphire watch dial (43mm). With a long 14-days of battery life, this watch also has electrode technology for accurate health measurements. It can access over 100 personalised workouts from golf to cross-country skiing to free training.

The GT3 Pro is has IP68 and 5 ATM ratings for water resistance so you can wear it in the ocean as deep as 30 metres with the Free Diving Mode6.

On top of this, the GT3 Pro has all-day heart rate and SpO2 monitoring. It has loads of customisation options so you can personalise it to your taste.

The Suunto 9 Peak is the thinnest and toughest from the Suunto line or sports watches so its a good choice if youre looking for a watch which is lightweight and durable at the same time.The 9 Peak fits easily on your wrist and you can charge it fully in one hour, and with more than 80 sport modes, theres hardly anything it cant track.

Another nice feature is the Resources setting which shows you if youve overextended yourself and you need to rest or if youre all good and ready to go.

The 9 Peak comes with all the features youd expect from a Suunto watch, including screens you can customise to show you the most relevant data for your exercise, accurate wrist-based heart rate monitoring and in-depth weather insights.

Click here for our full review of this fitness tracker

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Thinking About Purchasing A Fitness Tracker? Here Are Our Top 5 - Women Love Tech

Oct 4

New operator of local Planet Fitness gyms adding two more locations – RichmondBizSense

A rendering of the interior of Planet Fitnesss upcoming location at 7297 Battle Hill Drive in Mechanicsville. (Image courtesy of Grand Fitness Partners)

A new Planet Fitness operator is expanding its orbit with new gyms in Mechanicsville and Bon Air after it bought its way into the Virginia market less than a year ago.

Grand Fitness Partners, a Planet Fitness franchisee with locations in five states, expects the Mechanicsville gym at 7297 Battle Hill Drive and the Bon Air gym in Stony Point Village Shopping Center to both open in late December.

The Mechanicsville gym will occupy a 30,000-square-foot space formerly occupied by Best Buy, which closed there in 2021.

The Bon Air gym will be in a 17,500-square-foot space at 3001 Stony Point Road in a leftover portion of the former Martins store next to Trader Joes.

Planet Fitness plans to open a new gym in what was formerly a Best Buy. (BizSense file photo)

Both gyms will feature cardio and strength equipment, rowing machines, locker rooms with showers and tanning booths, among other equipment.

Nicki Jassy and Jim Ashby of Thalhimer represented Grand Fitness in the Mechanicsville lease. Jassy again handled the lease on behalf of Grand Fitness at Stony Point Village Shopping Center, where Ashby represented the landlord.

Grand Fitness is still on the hunt for more expansion opportunities locally, company spokeswoman DonnaMarie Hendriksen said in an email Thursday.

We believe that Richmond is indeed a market with more growth potential, and we will continue to consider sites in areas of opportunity. We expect to add additional clubs in 2023, she said.

Planet Fitness has signed a lease on a portion of the former Martins grocery store at Stony Point Village. (Jack Jacobs photo)

Grand Fitness currently operates the regions other Planet Fitness locations at 4951 Nine Mile Road, 9703 W. Broad St., and 11001 Hull Street Road as well as a Colonial Heights outpost at 230 Southpark Circle.

Grand Fitness bought those locations as part of the acquisition of Asbell Groups 13-location Virginia portfolio in a deal that closed in December 2021, Hendriksen said. The deal marked Grand Fitnesss first foray into Virginia. Terms werent disclosed.

The company, which was founded in 2010, currently operates 59 locations in Virginia, Florida, California, New Jersey and Pennsylvania. Grand Fitness has corporate offices in Virginia, New Jersey and Florida.

Grand Fitness was formerly known as PF Atlantic Holdings. It was rebranded as part of a majority investment by private equity group HGGC announced in November 2021.

In other gym news, Tequila & Deadlifts has expanded its offerings in the Fan. City Councilman Andreas Addison has opened a gym in Scotts Addition.

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New operator of local Planet Fitness gyms adding two more locations - RichmondBizSense

Oct 4

Mining the equine gut metagenome: poorly-characterized taxa associated with cardiovascular fitness in endurance athletes | Communications Biology -…

Ethical approval

The local animal care approved the study protocol and use committee (ComEth EnvA-Upec-ANSES, reference: 11-0041, dated July 12, 2011), and protocols were conducted following the EU regulation (no 2010/63/UE). Owners and riders provided their informed consent before the start of sampling procedures with the animals. The horses (Equus caballus) used in this research study were pure-breed or half-breed Arabian (three females, one male, and seven geldings; age: 101.69 years old).

Eleven endurance horses were selected from a cohort previously used in our team6,24,25,70. All equine athletes started training for endurance competitions at age 4 and presented a similar training history, level of physical fitness, and training environment. The 11 horses were selected due to the following criteria: (1) enrollment in the same 160km endurance category; (2) blood sample collection before and after the race; (3) feces collection before the race; (4) absence of gastrointestinal disorders during the four months before enrollment; (5) absence of antibiotic treatment during the four months before enrollment and absence of anthelmintic medication within 60 days before the race, and (6) a complete questionnaire about diet composition and intake.

Subject metadata, including morphometric characteristics and daily macronutrient diet intake records, is depicted in Supplementary Data1. Daily nutrient intake calculations are described elsewhere24.

The endurance race was split into ~3040km phases. At the end of each phase, veterinarians checked horses (referred to as a vet gate). The heart recovery time was the primary criterion evaluated at the vet gate as it is shown to be an excellent complement to a physical assessment of an individual. The heart rate was measured at each vet gate by the riders and a veterinarian using a heart rate meter and a stethoscope. Any horse deemed unfit to continue (due to a heart rate above 64bpm after 20min of recovery) was immediately withdrawn from the event.

It should be noted that the time interval between arrival at the vet gate and the time needed to decrease the heart rate below 64bpm was counted as part of the overall riding time. Therefore, the cardiac recovery time was calculated as the difference between the arrival time (at the end of the phase) and the time of veterinary inspection (referred to as the time in by the FEI endurance rules). The average speed of each successive phase was calculated at the vet gate.

Changes in these three variables during endurance events have been shown to predict whether a horse is aerobically fit or not71. We consider these variables to estimate cardiovascular capacity linked to performance capability and achievement. Therefore, these three variables were first scaled through a Z-score; that is, the number of standard deviation units a horses score is below or above the average score. Such a computation creates a unitless score that is no longer related to the original units of analysis (e.g., minutes, beats, Km/h). It measures the number of standard deviation units and can more readily be used for comparisons. A composite based on such Z-scores was then created to estimate cardiovascular fitness. Specifically, the composite() function of the multicon R package (v.1.6) was used to develop a unit-weighted composite of the three variables listed above.

The kinship272 (v.1.8.5) R package was used to calculate the pedigree kinship matrix of all individual pairs, plot the pedigree, and trim the pedigree object. The kinship coefficient for any two subjects was calculated as the probability that an allele chosen at random for both subjects at a given locus is identical-by-descent, that is, inherited from a common ancestor72. The pedigree was calculated using six generations back for the 11 Arabian horses of the study. The pedigree kinship matrix was then visualized using the plot_popkin() function from the popkin (v.1.3.17) R package. The inbr_diag() function was used to modify the kinship matrix, with inbreeding coefficients along the diagonal, preserving column and row names.

Blood samples were collected from each horse the day before the event (Basal, T0) and immediately after the end of the competition (T1) for transcriptomic, biochemical, metabolomic, and acylcarnitine assays. As described elsewhere24, pretreatment of the blood samples was carried out immediately after the collection because field conditions provided access to refrigeration and electrical power supply. Briefly, blood samples for RNA extraction were collected using Tempus Blood RNA tubes (Thermo Fisher) and stored at 80C. Whole blood samples were taken in EDTA tubes (10mL; Becton Dickinson, Franklin Lakes, NJ, USA) to determine biochemical parameters, while for the metabolome profiling, the sodium fluoride and oxalate tubes were used to inhibit further glycolysis that may increase lactate levels after sampling. Then, clotting time at 4C was strictly controlled for all samples to avoid cell lyses that affect metabolome components. After clotting at 4C, the plasma was separated from the blood cells, transported to the lab at 4C, and frozen at 80C (no more than 5h later, in all cases). Concerning the acylcarnitine, blood samples were collected in plain tubes. After clotting, the tubes were centrifuged, and the harvested serum was stored at 4C for no more than 48h and subsequently stored at 80C.

According to the manufacturers instructions, total RNAs were isolated using the Preserved Blood RNA Purification Kit I (Norgen Biotek Corp., Ontario, Canada). RNA purity and concentration were determined using a NanoDrop ND-1000 spectrophotometer (Thermo Fisher), and RNA integrity was assessed using a Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA). All the 22RNA samples were processed. The transcriptome microarray data production, pre-processing, and analysis are depicted in Mach et al.25.

Transcriptome profiling was performed using an Agilent 4X44K horse custom microarray (Agilent Technologies, AMADID 044466). All of the steps are detailed here73,74. We refer to our previous work for more details on the pre-processing, normalization, and application of linear models25. Given our interest in understanding the role played by mitochondria during exercise, the set of 801 differentially expressed mitochondrial genes reported by our team25 was selected for the downstream steps of analysis (Supplementary Data15).

As described elsewhere24,70, the plasma metabolic phenotype of endurance horses was obtained from 1H NMR spectra at 600MHz. The 1H NMR spectra were acquired at 500MHz with an AVANCE III (Bruker, Wissembourg, France) equipped with a 5mm reversed QXI Z-gradient high-resolution probe. Further details on sample preparation, data acquisition, quality control, spectroscopic data pre-processing, and data pre-processing, including bin alignment, normalization, scaling, and centering, are broadly discussed elsewhere75. Details on metabolite identification are described in our previous work24,25.

Sera were assayed for total bilirubin, conjugated bilirubin, total protein, creatinine, creatine kinase, -hydroxybutyrate, and aspartate transaminase (ASAT), -glutamyltransferase and serum amyloid A levels on an RX Imola analyzer (Randox, Crumlin, UK).

As a proxy for mitochondrial -oxidation, the serum acylcarnitine profiles were produced and analyzed as described elsewhere6. In the positive mode, free carnitine and 27 acylcarnitines were analyzed for their butyl ester derivatives by electrospray tandem mass spectrometry (ESI-MS-MS) on a triple quadrupole mass spectrometer (Xevo TQ-S Waters, Milford, MA, USA) using deuterated water.

Fresh fecal samples were obtained while monitoring the horses before the race. One fecal sample from each animal was collected immediately after defecation24,76, and three aliquots (200mg) were prepared. The dehydration experienced by most horses after the race altered intestinal motility and feces shedding, making it impossible to recover the feces immediately after the race.

Aliquots for SCFA analysis and DNA extraction were snap-frozen.

SCFA levels were determined by gas chromatography using the method described elsewhere77.

Total DNA from the 11 samples was extracted from ~200mg of fecal material using the EZNA Stool DNA Kit (Omega Bio-Tek, Norcross, Georgia, USA) following the manufacturers instructions. DNA was then quantified using a Qubit and a dsDNA HS assay kit (Thermo Fisher).

As detailed in our previous studies24,25, concentrations of bacteria, anaerobic fungi, and protozoa in fecal samples were quantified by qPCR using a QuantStudio 12K Flex platform (Thermo Fisher Scientific, Waltham, USA). Primers for real-time amplification of bacteria (FOR: 5-CAGCMGCCGCGGTAANWC-3; REV: 5-CCGTCAATTCMTTTRAGTTT-3), anaerobic fungi (FOR: 5-TCCTACCCTTTGTGAATTTG-3; REV: 5-CTGCGTTCTTCATCGTTGCG-3) and protozoa (FOR: 5-GCTTTCGWTGGTAGTGTATT-3; REV: 5-CTTGCCCTCYAATCGTWCT-3). Details of standard dilutions series, the thermal cycling conditions, and the estimation of the number of copies are detailed elsewhere24,25.

A detailed description of the DNA isolation process, V3V4 16S rRNA gene sequencing-PCR amplification, is presented by our group19,20,24,25,76,78,79. A negative control sample alongside biological samples at the DNA extraction and PCR steps was considered in attempts to control DNA contamination before and after sequencing. In addition, contamination was minimized through laboratory techniques such as UV irradiation of material, ultrapure water, the DNA-free Taq DNA polymerase, and the separation of pre-and post-PCR areas.

The Divisive Amplicon Denoising Algorithm (DADA) was implemented using the DADA2 plug-in for QIIME 2 (v.2021.2) to perform quality filtering and chimera removal and to construct a feature table consisting of read abundance per amplicon sequence variant (ASV) by sample80. Taxonomic assignments were given to ASVs by importing Greengenes 16S rRNA Database (release 13.8) to QIIME 2 and classifying representative ASVs using the naive Bayes classifier plug-in81. The phyloseq (v.1.36.0)82, vegan (v.2.5.7)83, and microbiome (v.1.14.0) packages were used in R (v.4.1.0) for the downstream steps of analysis. A total of 364,026 high-quality sequence reads were recovered for the 11 horses of the study (mean per subject: 33,093(pm)17,437, range: 12,05262,670). Reads were clustered into 5412 chimera- and singleton-filtered ASVs at 99% sequence similarity. The genera taxonomic assignments and counts for each individual are presented in Supplementary Data10).

The negative control sample did not yield a band on the agarose gel, and the concentration of the purified amplicon was undetectable (<1ng/L). Nevertheless, the decontam (v.1.14.0) R package was used to identify and visualize possible contaminating DNA features in the negative control sample. The function isContaminnat() was used to determine the distribution of the frequency of each contaminant feature as a function of the input DNA concentration. Only 6 ASV were statistically classified (p<0.05) as contaminants, although their frequency plots showed they were non-contaminants (Supplementary Fig.11).

Metagenomic sequencing was performed using the same DNA extractions. For each individual, a paired-end metagenomic library was prepared from 100ng of DNA using the DNA PCR-free Library Prep Kit (Illumina, San Diego, CA, USA). The size was selected at about 400bp. The pooled indexed library was sequenced in an Illumina HiSeq3000 using a paired-end read length of 2150pb with the Illumina HiSeq3000 Reagent Kits at the PLaGe facility (INRAe, Toulouse).

Raw metagenomic reads were quality-trimmed, assembled, binned, and annotated using the ATLAS pipeline, v.2.4.484. In short, using tools from the BBmap suite v.37.9985, reads were quality trimmed with ATLAS parameters: preprocess_minimum_base_quality=10, preprocess_minimum_passing_read_length=51, preprocess_minimum_base_frequency=0.05, preprocess_adapter_min_k=8, preprocess_allowable_kmer_mismatches=1, and the preprocess_reference_kmer_match_length=27. The contamination from the horse genome (available at NCBI sequence archive with the accession number GCA_002863925.1; Equus_caballus.EquCab3.0) was filtered out using the following settings: contaminant_max_indel=20, contaminant_min_ratio=0.65, contaminant_kmer_length=13, contaminant_minimum_hits=1, and contaminant_ambiguous=best. Reads were error corrected and merged before assembly with metaSPAdes v.3.13.186 with the subsequent parameters: spades_k=auto, prefilter_minimum_contig_length=300, minimum_average_coverage=1, minimum_percent_covered_bases=20, and minimum_contig_length=500 after filtering. QUAST 5.0.287 was used to evaluate the quality of each sample assembly. Since a high diversity between individuals was described through 16S rRNA amplicon analysis, we first assembled each sample independently. Contigs from single samples were clustered into metagenomic bins using MetaBAT 2 (v.2.14)88 with the following parameters: sensitivity=sensitive, min_contig_length=1500 and Maxbin 2.0v.2.2.789 with the parameters set to max_iteration=50, prob_threshold=0.9, and min_contig_length=1000. Contig predictions were combined using DAS Tool v.1.1.2-190 with diamond engine and score_threshold set to 0.5.

ATLAS configuration file, summaries of individual samples quality control, contigs from the individuals, and detected bins are available at the INRAE data repository ( and are contained in the files ATLAS_config.yalm, ATLAS_dag.pdf, notebook.html, ATLAS_QC_report.html, and ATLAS_bin_report_DASTool.html.

Assembly statistics for the predicted MAGs such as completeness, redundancy, size, number of contigs, contig N50, length of the longest contig, average GC content, and the number of predicted genes were computed using the lineage workflow from CheckM v.1.1.392. MAGs were designated as near-complete drafts if they had completeness 90%, redundancy <5%, transfer RNA gene sequences for at least 18 unique amino acids, or medium-quality drafts if they had completeness 50% and a redundancy <10%. A summary of the assembly statistics for the predicted MAGs is available at the INRAE data repository: as ATLAS_assembly_report.htlm.

Because the same MAG may be identified in multiple samples, dRep v.2.2.293 was used to obtain a non-redundant set of MAGs by clustering genomes to a defined average nucleotide identity (ANI) and returning the representative with the highest dRep score in each cluster. The parameters used were set to ANI=0.95, overlap=0.6, length=5000, completeness=50, contamination=10, and N50=0.5. Only the highest-scoring MAG from each secondary cluster was retained as the winning genome in the dereplicated set. The abundance of each MAG was then quantified across samples by mapping the reads to the non-redundant MAGs using the BBmap suite v.37.9985 (pairlen=100, minid=0.9, mdtag=t, xstag=fs, nmtag=t, sam=1.3, ambiguous=best, secondary=t, saa=f, maxsites=10). The sample-specific median coverage of each MAG was then computed using pileup within BBMap with default parameters.

For the taxonomic annotation, ATLAS predicted the genes of each MAG sequence using Prodigal v.2.6.394 with single-mode and closed-end parameters. The taxonomy of the predicted MAGs was inferred using the genome taxonomy database (GTDB-Tk)43 (v.5.0, release 95 (July 17, 2020)). As such, GTDB-Tk taxonomy names were used throughout this paper. In addition, domain-specific trees incorporating the predicted MAGs were inferred by constructing a maximum-likelihood tree using the de novo workflow in GTDB-Tk v.5.0 with the following parameters: --bacteria | --archaea, min_perc_aa=50, prot_model=WAG. Trees were visualized using ggtree (v.3.0.2) in the R package.

To assess the contribution of the constructed MAGs to the functional potential of the gut microbiome, the predicted gene and proteins extracted by Prodigal during the CheckM pipeline were compared to the EggNOG database 5.0 using eggnog-mapper (v2.0.1). KEGG annotation (Kyoto Encyclopedia of Genes and Genomes) and CAZymes annotation (Carbohydrate-active Enzyme) were extracted from this output. Since the detection of KOs and CAZymes families is likely influenced by sequencing depth, their relative abundance was normalized to the abundance of the MAG they derived from. Pathways attributed to each KO were annotated from the KEGG database (downloaded 23-October-2021;

The uniqueness of our predicted MAG catalog was confirmed by dereplicating them with the 121 MAGs produced by Gilroy et al.44 and three reported by Youngblut et al.45 using dRep v.3.2.093 with parameters: P_ani=0.9, S_algorithm ANImf, S_ani=0.99, clusterAlg average, cov_thresh=0.1, coverage_method larger. dRep performed pairwise genomic comparisons by sequentially applying an estimation of genome distance and an accurate measure of average nucleotide identity. Visualizing and comparing highly similar genomes were performed using the CGView family of tools (

The establishment and assessment of the quality and representation of the microbiome gene catalog were performed through the metagenomic ATLAS pipeline (v.2.4.4)84. As described above, we first assembled the clean reads into longer contigs.

Genes were predicted by Prodigal v.2.6.3 and then clustered using linclust95 to generate a non-redundant gene catalog. Redundant genes were removed with linclust using the following parameters: minlength_nt=100, minid=0.95, coverag=0.9, and subsetsize=500,000. The quantification of genes per sample was done through the combine_gene_coverages() function in the ATLAS workflow, which aligned the high-quality clean reads to the gene catalog using the BBmap suite v.37.9985 (minid=0.95, mdtag=t, xstag=fs, nmtag=t, sam=1.3, ambiguous=all, secondary=t, saa=f, maxsites=4). Taxonomic and function annotations were done based on the EggNOG database 5.0 using eggnog-mapper (v.2.0.1) (emapper.pyannotate_hits_table {input.seed}no_file_comments). The eggNOG numbers corresponding to CAZymes based on homology searches to the CAZyme database were retrieved from these. We used the derived eggNOG abundance matrix to obtain a CAZyme profile per sample. Similarly, KEGG annotation was recovered from the EggNOG output. KEGG gene IDs were mapped to KEGG KOs and used to get the KEGG functional pathway hierarchy. Furthermore, using mmseqs2 (v.13.45111) to find genes at a 95% similarity threshold and 80% overlap, we compared our gene catalog with a previously published gene catalog containing ~4 million genes30. The parameters used were the following: easy-search --search-type 3 --min-seq-id 0.95 --cov-mode 0 -c 0.8 --threads 16 --alignment-mode 3 --max-seq-len 100000.

The annotated gene catalog fasta file is deposited at DDBJ/ENA/GenBank Whole Genome Shotgun under the BioProject ID PRJNA438436 and is also available at as Genecatalog_with-note.fna.gz. The KO and CAZymes derived from the gene catalog are available in the same INRAE data repository and are in the and files, respectively.

The kmer-based kaiju v.1.8.0 ( approach was used for microbial taxonomic profiling of the trimmed shotgun metagenomes and the microbial gene catalog. The microbial gene catalog fasta, core group genes fasta, and paired reads after quality trimmed and decontamination from the horse genome were used and annotated against the NCBI nr_euk reference database (released on May 25, 2020) containing all proteins belonging to archaea, bacteria, fungi, microbial eukaryotes, and viruses for classification in Greedy run mode with -a greedy -e 3 allowing for maximum three mismatches. By default, Kaiju returned a NA if it could not find a taxonomic classification at certain ranks. The Kaijus tab-separated output files were imported into Krona and converted into HTML files. They are available at under raw-samples.nr_euk.kaiju.html.

To circumvent the problem of false-positive species predictions due to misalignment and contamination, we defined an abundance threshold of 25%, where the top 25% abundant species in at least 50% of the individuals were retained using the filterfun_sample() function in the phyloseq R package. This reduced background noise but kept information on poorly-described species if they were ubiquitously found in the samples. The dominant phylotypes abundance, taxonomy, and the associated metadata are available at as Ecaomic_dominant_phylotypes_nonrariefied.rds.

The high-quality clean paired reads were aligned to the ResFinder database (accessed March 2018, v.4.0) using bowtie2 (v.2.3.5). ResFinder is a manually curated database of horizontally acquired antimicrobial resistance (AMR) genes. It contains many genes with numerous highly similar alleles (e.g., -lactamases). To avoid random assignment of read pairs on these high-identity alleles, the database was clustered at 95% of identity level, over 200bp using CDHIT-EST (options -G 0 -A 200 -d 0 -c 0.95 -T 6 -g 1)96 and a reference sequence was attributed to each cluster. Two successive mappings were done: (i) the first mapping with standard parameters (bowtie2 --end-to-end --no-discordant --no-overlap --no-dovetail no-unal) on the complete ResFinder database, and (ii) a second mapping on the clustered database using the reads from the first mapping, with less stringent parameters (bowtie2 --local --score-min L,10,0.8). More than 99% of the reads from the first mapping correctly aligned on a cluster reference sequence in the second mapping.

Counts from the second mapping were normalized by computing the RPKM (reads per kilobase reference per million bacterial reads) value for each ResFinder reference sequence. The RPKM values were calculated by dividing the mapping count on each reference by its gene length and the total number of bacterial read pairs for the samples and multiplying by 109. A minimum of 20 mapped reads was considered to validate the presence of an AMR gene cluster.

The microbiome R package allowed us to study global indicators of the gut ecosystem state, including measures of evenness, dominance, divergences, and abundance. Comparison of the gut -diversity indices between groups was performed by a two-sided Wilcoxon rank-sum test (pairwise comparison). BenjaminiHochberg multiple testing correction p<0.05 was set as the significance threshold for comparison between groups.

To estimate -diversity, BrayCurtis dissimilarity was calculated using the phyloseq R package. All samples were normalized using the rarefy_even_depth() function in the phyloseq R package, which is implemented as an ad hoc means to normalize features resulting from libraries of widely differing sizes. The PerMANOVA test (a non-parametric method of multivariate analysis of variance based on pairwise distances) was implemented using the adonis() function in the vegan R package and the pairwise.Adonis2() function from the pairwiseAdonis (v.0.4) R package tests the global association between ecological or functional community structure and groups. The model was adjusted by factors affecting the microbiome: age, sex, and dietary macronutrient intake.

The core group of genes in the catalog was defined as the genes present in all individuals.

The dominant core microbiome at the genus level was calculated using a detection threshold of 0.1% and a prevalence threshold of 95% in the microbiome R package.

The SParse InversE Covariance Estimation for Ecological Association Inference method (SPIEC-EASI)97 was used to identify sub-populations (modules) of co-abundance and co-exclusion relationships between dominant phylotypes and CAZy classes abundances matrices. Specifically, the method allows microorganisms and functions to interact differently, from bidirectional competition to mutualism or not interacting at all. The statistical method SPIEC-EASI comprises two steps: a transformation for compositionality correction of the feature matrices and estimation of the interaction graph from the transformed data using sparse inverse covariance selection. The sparse graphical modeling framework was constructed using the spiec.easi() function of the SpiecEasi package (v.1.1.1). The features were clustered using the method=mb, lambda.min.ratio=1e5, nlambda=100, pulsar.params=list (thresh=0.001). Regression coefficients from the SPIEC-EASI output were extracted and used as edge weights to generate a feature co-occurrence network R igraph package (v.1.2.6) and Cytoscape (v.3.8.2).

Data integration was carried out using several approaches and different combinations of datasets. Before the integration, we applied some additional pre-processing steps to our exploratory datasets. In particular, to eliminate intra-individual variability and focus on the differential signals between T1 and T0, we considered values (T1T0) for each of these datasets, namely biochemical assay data and metabolome acylcarnitine profiles, and gene expression data. For the transcriptome, we constructed a matrix of log-transformed expression values between T1 and T0 (e.g., the difference in log2-normalized expression between T1 and T0).

The integration of data was then performed using complementary methods and working with different datasets available, namely: (1) values of mitochondrial-related genes; (2) values of 1H NMR metabolites; (3) values of the biochemical assay metabolites; (4) values of plasmatic acylcarnitines; (5) the fecal SCFAs at T0; (6) the bacterial, ciliate protozoa and fungal loads at T0; (7) the dominant gut phylotypes at T0; (8) the CAZymes profiles at T0; (9) the KOs at T0, and the (10) athletic performance data.

As a first integration approach, a global non-metric multidimensional scaling (NMDS) ordination was used to extract and summarize the variation in microbiome composition using the metaMDS() function in the vegan R package. Stress values were calculated to determine the number of dimensions for each NMDS.

The explanatory datasets were then fit to the ordination plots using the envfit() function in the vegan R package98 with 10,000 permutations. Each covariates effect size and significance were determined, and all p-values derived from the envfit() function were adjusted BenjaminiHochberg. Variation partitioning was performed using the varpart() function in vegan in R.

The N-integration algorithm DIABLO of the mixOmics R package (, v6.12.2) was used as a second integrative approach. It is to be noted that, in the case of the N-integration algorithm DIABLO, the variables of all the datasets were also centered and scaled to unit variance before integration. In this case, the relationships among all datasets were studied by adding a different categorical variable, e.g., the cardiovascular fitness of horses. Horses with poor cardiovascular fitness (n=8) were compared to horses with enhanced cardiovascular fitness (n=3). DIABLO seeks to estimate latent components by modeling and maximizing the correlation between pairs of pre-specified datasets to unravel similar functional relationships99. To predict the number of latent components and the number of discriminants, the block.splsda() function was used. The model was first fine-tuned using leave-one-out cross-validation by splitting the data into training and testing. Then, classification error rates were calculated using balanced error rates (BERs) between the predicted latent variables with the centroid of the class labels using the max. dist() function.

Finally, the DESeq2 (v.1.32.0)100 R package was used to test differential abundances analysis between groups for the dominant phylotypes, MAGs, and the genetic functionalities derived from KOs and CAZymes at the basal time. DESeq2 assumes counts can be modeled as a negative binomial distribution with a mean parameter, allowing for size factors and a dispersion parameter. The p-values were adjusted for multiple testing using the BenjaminiHochberg procedure. DESeq2 comparisons were run with the parameters fitType=parametric and sfType=Wald.

The validation set consisted of 22 pure-breed or half-breed Arabian horses (12 females, three males, and seven geldings; age: 9.21.27) not included in the experimental set to ensure that the observed effects were reproducible in a broader context (Supplementary Data20). Five animals were enrolled in a 160km endurance competition among the horses in the validation set, while 17 were in a 120km race. The management practices throughout the endurance ride and the International Equestrian Federation (FEI) compulsory examinations and the weather conditions, terrain difficulty, and altitude were that of the experimental set. All the participants enrolled in the study (experimental and validation set) competed in the same event in October 2015 in Fontainebleau (France). The cardiovascular capacity was created as described in the Performance measurement section as a composite of post-exercise heart rate, cardiac recovery time, and average speed during the race. Then, the HIGH, MEDIUM, and LOW groups were determined according to the interquartile range of the composite cardiovascular fitness values. HIGH included individuals with cardiovascular fitness values above the 75th percentile, LOW below the 25th percentile, and MEDIUM, the individuals ranging in between.

The PerMANOVA test was implemented by using pairwise.Adonis2() function from the pairwiseAdonis R package. The model was adjusted by factors affecting the microbiome: age and sex. The homogeneity of group dispersions (variance) was applied via the betadisp() function of the vegan package to account for the confounding dispersion effect. The one-way ANOVA with Tukeys honest significant differences (HSD) method for pairwise comparisons was performed using the TukeyHSD() function in the stats R package (v.3.6.2).

The PLS-DA was used to identify the key genera responsible for the differences in the groups using the mixOmics101 R package (v. 6.18.1). In addition, as PLS-DA loadings may be misleading with highly correlated variables, the differences in each relative genus abundance between the groups were quantified by DESeq2 R package.

Further information on research design is available in theNature Research Reporting Summary linked to this article.

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Oct 4

Mayfaire Town Center to welcome new gym to former O2 Fitness facility – Greater Wilmington Business Journal

A new fitness center is muscling in at the former O2 Fitness building at Mayfaire Town Center.

Shawn Stewart, CEO and owner of Fuel Fitness, is preparing to open a location in the 13,500-square-foot building at 980 Town Center Drive.

For Stewart, who was the COO of O2 fitness from 2015 to 2019 before building his own brand, the Mayfaire gym will mark the fifth Fuel Fitness facility in North Carolina. His sixth will be a facility he plans to build in Myrtle Beach, South Carolina.

When I saw O2 was vacating that space, I thought it was a perfect opportunity to get into the market with one of my favorite clubs at the time, he said. I thought it was the perfect spot and the perfect opportunity to bring the Fuel Fitness brand to Wilmington.

Stewart said he hopes to open before the end of the year, with tours and pre-selling potentially starting in November. Fuel Fitness at Mayfaire is expected to hire 30 employees, counting full- and part-time members of the team.

When O2 Fitness closed at Mayfaire earlier this year, it had about 1,900 members. Owners said in a previous Greater Wilmington Business Journal story that the Mayfaire closure was part of an overall pivot for the company.

That market is so unique because of where its located and with the amount of residential areas in that one-mile radius, I know theres a lot of people who will be excited about a gym going back into that location, Stewart said. I think we are unique enough and differentiate ourselves not just from O2 but any other health clubs We will be much more of a training facility as well as a full-service health club than I think the competitors in the Wilmington market.

In addition to his stint at O2, Stewart said he previously ran the 30,000-member Gainesville Health & Fitness in Gainesville, Florida.

He said Fuel Fitness at Mayfaire, like his other locations, will feature a large variety of group fitness classes, cardio strength equipment, large turf areas for functional training, cycle studios and kids clubs. A recovery lounge (called the Refuel Lounge) will offer hydro massage, a cryotherapy lounge chair, compression technology theragun stations and more features for pre- and post-exercise recovery, he said.

The gym will also include a HIIT (high-intensity interval training) studio.

We use treadmills, we use bikes, we have rowers, and then we have fit benches, which are individual benches that have your own barbells, kettlebells and attachments for strength and stretching, Stewart said. And we encompass all of that into a progressive HIIT-style training.

Stewart has a 10-year lease at Mayfaire Town Center, and his future plans include adding outdoor training facilities with a variety of uses, from obstacle course race practice, to specific-sport training to community events.

Other than Wilmington and the facility coming to Myrtle Beach, Stewarts other locations are in Mooresville, Charlotte, Durham and Winston-Salem. The Winston-Salem Fuel Fitness is Stewarts flagship, a 30,000-square-foot structure built from scratch, he said.

Fuel Fitness offers different membership levels, from basic to VIP.

Of his membership goals, Stewart said, Id say anywhere from 800 to 1,200 members is a good start.

Mayfaire Town Center to welcome new gym to former O2 Fitness facility - Greater Wilmington Business Journal

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